diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_06384e56ebf03f35/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_06384e56ebf03f35/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..41d958356730c74bafcc2e920c0d01b82a761a0b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_06384e56ebf03f35/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "0.92", "support": 5200, "support_share": 0.27142708007098865, "cumulative_support": 5200}, {"value_label": "0.624", "support": 2702, "support_share": 0.14103768660611754, "cumulative_support": 7902}, {"value_label": "0.91", "support": 1533, "support_share": 0.08001879110554337, "cumulative_support": 9435}, {"value_label": "0.9259999999999999", "support": 1336, "support_share": 0.06973588057208477, "cumulative_support": 10771}, {"value_label": "0.698", "support": 683, "support_share": 0.03565090301701639, "cumulative_support": 11454}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_06384e56ebf03f35/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_06384e56ebf03f35/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..8a533db9ae2d93e02e0e2b69ce3cd391549a7dc0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_06384e56ebf03f35/generated_sql.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_cardinality_distinct_share_profile
+-- query_record_id: v2q_m9_06384e56ebf03f35
+-- problem_id: v2p_m9_4942fff00c067b39
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "city_development_index" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "city_development_index"
+), ranked AS (
+    SELECT
+        value_label,
+        support,
+        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
+    FROM grouped
+)
+SELECT *
+FROM ranked
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_06384e56ebf03f35/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_06384e56ebf03f35/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..e305d64f9dd9d2866f343a0b5b1630ef21c29591
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_06384e56ebf03f35/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m9_06384e56ebf03f35\n-- problem_id: v2p_m9_4942fff00c067b39\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"city_development_index\" AS value_label, COUNT(*) AS support\n    FROM \"m9\"\n    GROUP BY \"city_development_index\"\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m9_06384e56ebf03f35\\n-- problem_id: v2p_m9_4942fff00c067b39\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"city_development_index\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"city_development_index\\\"\\n), ranked AS (\\n    SELECT\\n        value_label,\\n        support,\\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n    FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"0.92\", \"support\": 5200, \"support_share\": 0.27142708007098865, \"cumulative_support\": 5200}, {\"value_label\": \"0.624\", \"support\": 2702, \"support_share\": 0.14103768660611754, \"cumulative_support\": 7902}, {\"value_label\": \"0.91\", \"support\": 1533, \"support_share\": 0.08001879110554337, \"cumulative_support\": 9435}, {\"value_label\": \"0.9259999999999999\", \"support\": 1336, \"support_share\": 0.06973588057208477, \"cumulative_support\": 10771}, {\"value_label\": \"0.698\", \"support\": 683, \"support_share\": 0.03565090301701639, \"cumulative_support\": 11454}, {\"value_label\": \"0.897\", \"support\": 586, \"support_share\": 0.030587744023384485, \"cumulative_support\": 12040}, {\"value_label\": \"0.9390000000000001\", \"support\": 497, \"support_share\": 0.02594216515293872, \"cumulative_support\": 12537}, {\"value_label\": \"0.855\", \"support\": 431, \"support_share\": 0.022497129136653096, \"cumulative_support\": 12968}, {\"value_label\": \"0.804\", \"support\": 304, \"support_share\": 0.015868044681073182, \"cumulative_support\": 13272}, {\"value_label\": \"0.924\", \"support\": 301, \"support_share\": 0.01571145213487838, \"cumulative_support\": 13573}, {\"value_label\": \"0.754\", \"support\": 280, \"support_share\": 0.014615304311514771, \"cumulative_support\": 13853}, {\"value_label\": \"0.887\", \"support\": 275, \"support_share\": 0.014354316734523438, \"cumulative_support\": 14128}, {\"value_label\": \"0.884\", \"support\": 266, \"support_share\": 0.013884539095939034, \"cumulative_support\": 14394}, {\"value_label\": \"0.55\", \"support\": 247, \"support_share\": 0.01289278630337196, \"cumulative_support\": 14641}, {\"value_label\": \"0.9129999999999999\", \"support\": 197, \"support_share\": 0.010282910533458608, \"cumulative_support\": 14838}, {\"value_label\": \"0.899\", \"support\": 182, \"support_share\": 0.009499947802484601, \"cumulative_support\": 15020}, {\"value_label\": \"0.802\", \"support\": 175, \"support_share\": 0.009134565194696732, \"cumulative_support\": 15195}, {\"value_label\": \"0.925\", \"support\": 171, \"support_share\": 0.008925775133103664, \"cumulative_support\": 15366}, {\"value_label\": \"0.893\", \"support\": 160, \"support_share\": 0.008351602463722727, \"cumulative_support\": 15526}, {\"value_label\": \"0.878\", \"support\": 151, \"support_share\": 0.007881824825138323, \"cumulative_support\": 15677}, {\"value_label\": \"0.743\", \"support\": 146, \"support_share\": 0.007620837248146988, \"cumulative_support\": 15823}, {\"value_label\": \"0.9229999999999999\", \"support\": 143, \"support_share\": 0.0074642447019521874, \"cumulative_support\": 15966}, {\"value_label\": \"0.8959999999999999\", \"support\": 140, \"support_share\": 0.007307652155757386, \"cumulative_support\": 16106}, {\"value_label\": \"0.8270000000000001\", \"support\": 137, \"support_share\": 0.007151059609562585, \"cumulative_support\": 16243}, {\"value_label\": \"0.579\", \"support\": 135, \"support_share\": 0.007046664578766051, \"cumulative_support\": 16378}, {\"value_label\": \"0.762\", \"support\": 128, \"support_share\": 0.006681281970978181, \"cumulative_support\": 16506}, {\"value_label\": \"0.767\", \"support\": 128, \"support_share\": 0.006681281970978181, \"cumulative_support\": 16634}, {\"value_label\": \"0.836\", \"support\": 120, \"support_share\": 0.006263701847792045, \"cumulative_support\": 16754}, {\"value_label\": \"0.682\", \"support\": 119, \"support_share\": 0.006211504332393778, \"cumulative_support\": 16873}, {\"value_label\": \"0.6659999999999999\", \"support\": 114, \"support_share\": 0.005950516755402443, \"cumulative_support\": 16987}, {\"value_label\": \"0.89\", \"support\": 113, \"support_share\": 0.005898319240004176, \"cumulative_support\": 17100}, {\"value_label\": \"0.866\", \"support\": 103, \"support_share\": 0.005376344086021506, \"cumulative_support\": 17203}, {\"value_label\": \"0.6890000000000001\", \"support\": 102, \"support_share\": 0.005324146570623238, \"cumulative_support\": 17305}, {\"value_label\": \"0.843\", \"support\": 94, \"support_share\": 0.004906566447437102, \"cumulative_support\": 17399}, {\"value_label\": \"0.915\", \"support\": 94, \"support_share\": 0.004906566447437102, \"cumulative_support\": 17493}, {\"value_label\": \"0.794\", \"support\": 93, \"support_share\": 0.0048543689320388345, \"cumulative_support\": 17586}, {\"value_label\": \"0.527\", \"support\": 92, \"support_share\": 0.004802171416640568, \"cumulative_support\": 17678}, {\"value_label\": \"0.895\", \"support\": 86, \"support_share\": 0.004488986324250966, \"cumulative_support\": 17764}, {\"value_label\": \"0.7759999999999999\", \"support\": 82, \"support_share\": 0.004280196262657897, \"cumulative_support\": 17846}, {\"value_label\": \"0.903\", \"support\": 82, \"support_share\": 0.004280196262657897, \"cumulative_support\": 17928}, {\"value_label\": \"0.738\", \"support\": 79, \"support_share\": 0.004123603716463096, \"cumulative_support\": 18007}, {\"value_label\": \"0.9490000000000001\", \"support\": 79, \"support_share\": 0.004123603716463096, \"cumulative_support\": 18086}, {\"value_label\": \"0.5579999999999999\", \"support\": 75, \"support_share\": 0.0039148136548700285, \"cumulative_support\": 18161}, {\"value_label\": \"0.74\", \"support\": 67, \"support_share\": 0.003497233531683892, \"cumulative_support\": 18228}, {\"value_label\": \"0.555\", \"support\": 63, \"support_share\": 0.0032884434700908237, \"cumulative_support\": 18291}, {\"value_label\": \"0.789\", \"support\": 54, \"support_share\": 0.0028186658315064203, \"cumulative_support\": 18345}, {\"value_label\": \"0.727\", \"support\": 53, \"support_share\": 0.0027664683161081533, \"cumulative_support\": 18398}, {\"value_label\": \"0.7659999999999999\", \"support\": 49, \"support_share\": 0.002557678254515085, \"cumulative_support\": 18447}, {\"value_label\": \"0.848\", \"support\": 47, \"support_share\": 0.002453283223718551, \"cumulative_support\": 18494}, {\"value_label\": \"0.691\", \"support\": 45, \"support_share\": 0.002348888192922017, \"cumulative_support\": 18539}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 7.62}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_06384e56ebf03f35/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_06384e56ebf03f35/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..943c6515422dea7c7476835efa4b84df847e5eb3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_06384e56ebf03f35/run_manifest.json
@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.174602+00:00",
+  "ended_at": "2026-05-19T16:08:56.183102+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_06384e56ebf03f35",
+    "problem_id": "v2p_m9_4942fff00c067b39",
+    "dataset_id": "m9",
+    "template_id": "tpl_cardinality_distinct_share_profile",
+    "template_name": "Cardinality Distinct Share Profile",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "support_rank_profile_consistency",
+    "intended_facet_id": "support_concentration",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=city_development_index.",
+    "bindings": {
+      "group_col": "city_development_index"
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;",
+    "notes": [
+      "default_facets=support_concentration,value_imbalance_profile",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=1",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_06384e56ebf03f35.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_06384e56ebf03f35/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_06384e56ebf03f35/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_06384e56ebf03f35/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0759b6e47d5c437d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0759b6e47d5c437d/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0b6b9195b5866f1c383508bbaadc41e89a6cdb5e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0759b6e47d5c437d/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=gender, measure_col=city_development_index.
+Result preview: [{"gender": "Male", "total_measure": 11093.115}, {"gender": "", "total_measure": 3574.709}, {"gender": "Female", "total_measure": 1045.788}, {"gender": "Other", "total_measure": 165.458}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0759b6e47d5c437d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0759b6e47d5c437d/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..b1f7133405444c629a2e5c8d0c745a19f0dcc831
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0759b6e47d5c437d/generated_sql.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_rank_order
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m9_0759b6e47d5c437d
+-- problem_id: v2p_m9_4854c33ad5148518
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "gender", SUM(CAST(NULLIF("city_development_index", '') AS REAL)) AS total_measure
+FROM "m9"
+GROUP BY "gender"
+ORDER BY total_measure DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0759b6e47d5c437d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0759b6e47d5c437d/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..89fd859e3a7d38b83e5a9765b17307e84c29b6a8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0759b6e47d5c437d/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"gender\", SUM(CAST(NULLIF(\"city_development_index\", '') AS REAL)) AS total_measure\nFROM \"m9\"\nGROUP BY \"gender\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"gender\\\", SUM(CAST(NULLIF(\\\"city_development_index\\\", '') AS REAL)) AS total_measure\\nFROM \\\"m9\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"gender\", \"total_measure\"], \"rows\": [{\"gender\": \"Male\", \"total_measure\": 11093.115}, {\"gender\": \"\", \"total_measure\": 3574.709}, {\"gender\": \"Female\", \"total_measure\": 1045.788}, {\"gender\": \"Other\", \"total_measure\": 165.458}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.91}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0759b6e47d5c437d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0759b6e47d5c437d/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..a1e96b99c83334c7c9f8c11b1984b983c9569eca
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0759b6e47d5c437d/run_manifest.json
@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:28:42.801907+00:00",
+  "ended_at": "2026-05-19T15:28:52.247800+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_0759b6e47d5c437d",
+    "problem_id": "v2p_m9_4854c33ad5148518",
+    "dataset_id": "m9",
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "internal_profile_stability",
+    "intended_facet_id": "subgroup_rank_order",
+    "variant_semantic_role": "collapsed_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=gender, measure_col=city_development_index.",
+    "bindings": {
+      "group_col": "gender",
+      "measure_col": "city_development_index",
+      "top_k": 11,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+      "template_selection_mode=rule",
+      "problem_index_within_template=2",
+      "sql_variant_index=1/2",
+      "binding_index=1"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 1,
+    "problem_index_within_template": 2,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0759b6e47d5c437d.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_0759b6e47d5c437d",
+    "api_calls": 0,
+    "input_tokens": 14648,
+    "cached_input_tokens": 12032,
+    "output_tokens": 340,
+    "total_tokens": 14988,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 9428.85,
+    "sql_execution_elapsed_ms_total": 11.91,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0759b6e47d5c437d/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0759b6e47d5c437d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0759b6e47d5c437d/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..6be2e946f03aad68f1e7e270a9021760b4fab1fa
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0759b6e47d5c437d/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:28:52.233775+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9428.85, "started_at": "2026-05-19T15:28:42.804089+00:00", "ended_at": "2026-05-19T15:28:52.232972+00:00", "prompt_metrics": {"chars": 9304, "bytes_utf8": 9304, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 397, "bytes_utf8": 397, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14648, "cached_input_tokens": 12032, "output_tokens": 340, "reasoning_output_tokens": 236}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"gender\\\", SUM(CAST(NULLIF(\\\"city_development_index\\\", '') AS REAL)) AS total_measure\\nFROM \\\"m9\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped-sum template with group_col=\\\"gender\\\" and measure_col=\\\"city_development_index\\\". CAST/NULLIF makes the TEXT measure SQLite-numeric and ignores empty strings.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0759b6e47d5c437d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0759b6e47d5c437d/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..4e8efd67ea37063a06c2c3134ae2267bb8283aef
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0759b6e47d5c437d/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_0759b6e47d5c437d",
+  "api_calls": 0,
+  "input_tokens": 14648,
+  "cached_input_tokens": 12032,
+  "output_tokens": 340,
+  "total_tokens": 14988,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 9428.85,
+  "sql_execution_elapsed_ms_total": 11.91,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0759b6e47d5c437d/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_08a12422b8cd076d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_08a12422b8cd076d/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..29b673a2ed233d0beabfc93392243a25b320404c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_08a12422b8cd076d/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"relevent_experience": "Has relevent experience", "total_rows": 13792, "missing_rows": 0, "missing_rate": 0.0}, {"relevent_experience": "No relevent experience", "total_rows": 5366, "missing_rows": 0, "missing_rate": 0.0}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_08a12422b8cd076d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_08a12422b8cd076d/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..0baf5492e5a6958ac06a56a8aad39cf8042a07f2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_08a12422b8cd076d/generated_sql.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m9_08a12422b8cd076d
+-- problem_id: v2p_m9_4bdeba3c620cf746
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "relevent_experience",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "last_new_job" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "last_new_job" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "relevent_experience"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_08a12422b8cd076d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_08a12422b8cd076d/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..7889fdfef4ea6580c5672d0f6c3042e2211cdf49
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_08a12422b8cd076d/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_m9_08a12422b8cd076d\n-- problem_id: v2p_m9_4bdeba3c620cf746\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"relevent_experience\",\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"last_new_job\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"last_new_job\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m9\"\nGROUP BY \"relevent_experience\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_m9_08a12422b8cd076d\\n-- problem_id: v2p_m9_4bdeba3c620cf746\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"relevent_experience\\\",\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"last_new_job\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"last_new_job\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m9\\\"\\nGROUP BY \\\"relevent_experience\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"relevent_experience\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"relevent_experience\": \"Has relevent experience\", \"total_rows\": 13792, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"relevent_experience\": \"No relevent experience\", \"total_rows\": 5366, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.7}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_08a12422b8cd076d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_08a12422b8cd076d/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..6cc7fc6b9036ea00cd105f457e6fba971c7de28d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_08a12422b8cd076d/run_manifest.json
@@ -0,0 +1,59 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.165730+00:00",
+  "ended_at": "2026-05-19T16:08:56.174144+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_08a12422b8cd076d",
+    "problem_id": "v2p_m9_4bdeba3c620cf746",
+    "dataset_id": "m9",
+    "template_id": "tpl_missing_target_interaction",
+    "template_name": "Missingness-Target Interaction",
+    "family_id": "missingness_structure",
+    "canonical_subitem_id": "co_missingness_pattern_consistency",
+    "intended_facet_id": "missing_target_interaction",
+    "variant_semantic_role": "missing_target_interaction",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": false,
+    "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=relevent_experience, missing_col=last_new_job.",
+    "bindings": {
+      "missing_col": "last_new_job",
+      "target_col": "relevent_experience"
+    },
+    "binding_roles": [
+      "missing_col",
+      "target_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {target_col},\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;",
+    "notes": [
+      "default_facets=missing_rate_by_subgroup,missing_target_interaction",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=12",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 12,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_08a12422b8cd076d.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_08a12422b8cd076d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_08a12422b8cd076d/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_08a12422b8cd076d/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ba201699a862a68/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ba201699a862a68/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..96021e90a41a63af4bcb8a4131add6557df5e4d5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ba201699a862a68/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=major_discipline, condition_col=company_type.
+Result preview: [{"major_discipline": "STEM", "condition_rate": 0.5550648633728954}, {"major_discipline": "Business Degree", "condition_rate": 0.5443425076452599}, {"major_discipline": "No Major", "condition_rate": 0.49327354260089684}, {"major_discipline": "Other", "condition_rate": 0.4776902887139108}, {"major_discipline": "Humanities", "condition_rate": 0.4484304932735426}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ba201699a862a68/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ba201699a862a68/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..a8939baac7c06e1a0ce5cfbe67458dd00532b2c3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ba201699a862a68/generated_sql.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_0ba201699a862a68
+-- problem_id: v2p_m9_e705f120154488ca
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "major_discipline",
+       AVG(CASE WHEN "company_type" = 'Pvt Ltd' THEN 1 ELSE 0 END) AS condition_rate
+FROM "m9"
+GROUP BY "major_discipline"
+ORDER BY condition_rate DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ba201699a862a68/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ba201699a862a68/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..53827168dc35f7d0fd2703daf6847563d301f1fe
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ba201699a862a68/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"major_discipline\",\n       AVG(CASE WHEN \"company_type\" = 'Pvt Ltd' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m9\"\nGROUP BY \"major_discipline\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"major_discipline\\\",\\n       AVG(CASE WHEN \\\"company_type\\\" = 'Pvt Ltd' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m9\\\"\\nGROUP BY \\\"major_discipline\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"major_discipline\", \"condition_rate\"], \"rows\": [{\"major_discipline\": \"STEM\", \"condition_rate\": 0.5550648633728954}, {\"major_discipline\": \"Business Degree\", \"condition_rate\": 0.5443425076452599}, {\"major_discipline\": \"No Major\", \"condition_rate\": 0.49327354260089684}, {\"major_discipline\": \"Other\", \"condition_rate\": 0.4776902887139108}, {\"major_discipline\": \"Humanities\", \"condition_rate\": 0.4484304932735426}, {\"major_discipline\": \"Arts\", \"condition_rate\": 0.4426877470355731}, {\"major_discipline\": \"\", \"condition_rate\": 0.31674369001066477}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.54}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ba201699a862a68/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ba201699a862a68/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..40e4e5d836f67eda1b05878d78c05a6d8cb91f59
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ba201699a862a68/run_manifest.json
@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:01:00.489886+00:00",
+  "ended_at": "2026-05-19T16:01:12.875497+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_0ba201699a862a68",
+    "problem_id": "v2p_m9_e705f120154488ca",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=major_discipline, condition_col=company_type.",
+    "bindings": {
+      "group_col": "major_discipline",
+      "condition_col": "company_type",
+      "condition_value": "Pvt Ltd",
+      "positive_value": "Pvt Ltd",
+      "negative_value": "",
+      "top_k": 11,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 88.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=1/2",
+      "binding_index=101"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0ba201699a862a68.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_0ba201699a862a68",
+    "api_calls": 0,
+    "input_tokens": 14711,
+    "cached_input_tokens": 13696,
+    "output_tokens": 324,
+    "total_tokens": 15035,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 12369.35,
+    "sql_execution_elapsed_ms_total": 11.54,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ba201699a862a68/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ba201699a862a68/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ba201699a862a68/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..df23d8c82770d9a3d474b9367e9d9daa44cb9221
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ba201699a862a68/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:01:12.862083+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12369.35, "started_at": "2026-05-19T16:01:00.491679+00:00", "ended_at": "2026-05-19T16:01:12.861063+00:00", "prompt_metrics": {"chars": 9552, "bytes_utf8": 9552, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 448, "bytes_utf8": 448, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14711, "cached_input_tokens": 13696, "output_tokens": 324, "reasoning_output_tokens": 208}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"major_discipline\\\",\\n       AVG(CASE WHEN \\\"company_type\\\" = 'Pvt Ltd' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m9\\\"\\nGROUP BY \\\"major_discipline\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Grouped Condition Rate template applied with group_col=\\\"major_discipline\\\" and condition_col=\\\"company_type\\\", measuring the share of rows in each discipline where company_type is 'Pvt Ltd'.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ba201699a862a68/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ba201699a862a68/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..87564afbe6adcca898d88627c4e387419171c97d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ba201699a862a68/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_0ba201699a862a68",
+  "api_calls": 0,
+  "input_tokens": 14711,
+  "cached_input_tokens": 13696,
+  "output_tokens": 324,
+  "total_tokens": 15035,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 12369.35,
+  "sql_execution_elapsed_ms_total": 11.54,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ba201699a862a68/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0c4b5053b9c6a406/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0c4b5053b9c6a406/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..9c0f9b43a561c2b409121793d001260f10c1ec46
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0c4b5053b9c6a406/run_manifest.json
@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:04:30.543776+00:00",
+  "ended_at": "2026-05-19T16:04:39.287169+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_0c4b5053b9c6a406",
+    "problem_id": "v2p_m9_362812c453da068c",
+    "dataset_id": "m9",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=gender.",
+    "bindings": {
+      "group_col": "gender",
+      "top_k": 16,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=2",
+      "sql_variant_index=2/2",
+      "binding_index=121"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 2,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0c4b5053b9c6a406/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0c4b5053b9c6a406/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..43432625b5c364a8fa9a70f376316105592db574
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0c4b5053b9c6a406/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:04:34.845397+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 4298.34, "started_at": "2026-05-19T16:04:30.545420+00:00", "ended_at": "2026-05-19T16:04:34.843793+00:00", "prompt_metrics": {"chars": 9268, "bytes_utf8": 9268, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-49c3-7910-b849-2978dc6ab841\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:04:39.287068+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3439.03, "started_at": "2026-05-19T16:04:35.847198+00:00", "ended_at": "2026-05-19T16:04:39.286264+00:00", "prompt_metrics": {"chars": 9268, "bytes_utf8": 9268, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-5ea0-7ae1-8ecf-e196bf3855bb\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0d1d5d0b6b0ef65a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0d1d5d0b6b0ef65a/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..38edcbee457bdeaf829378f221cc87c92fa61cd4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0d1d5d0b6b0ef65a/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=city_development_index, measure_col=enrollee_id.
+Result preview: [{"city_development_index": "0.664", "avg_measure": 32091.0}, {"city_development_index": "0.48700000000000004", "avg_measure": 24357.6}, {"city_development_index": "0.9209999999999999", "avg_measure": 23479.9}, {"city_development_index": "0.479", "avg_measure": 22705.214285714286}, {"city_development_index": "0.516", "avg_measure": 22632.916666666668}] Results were truncated.
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0d1d5d0b6b0ef65a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0d1d5d0b6b0ef65a/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..3471038cf73d8f1f4c233765721dd0761fa3209b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0d1d5d0b6b0ef65a/generated_sql.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_m4_window_partition_avg
+-- query_record_id: v2q_m9_0d1d5d0b6b0ef65a
+-- problem_id: v2p_m9_5e09915348fdb67c
+-- realization_mode: agent
+-- source_kind: agent
+SELECT DISTINCT "city_development_index",
+       AVG(CAST("enrollee_id" AS REAL)) OVER (PARTITION BY "city_development_index") AS avg_measure
+FROM "m9"
+WHERE "city_development_index" IS NOT NULL
+  AND "city_development_index" <> ''
+  AND "enrollee_id" IS NOT NULL
+  AND "enrollee_id" <> ''
+ORDER BY avg_measure DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0d1d5d0b6b0ef65a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0d1d5d0b6b0ef65a/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..80db29aa96afce5b556c250bc3a300bc638ebc6f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0d1d5d0b6b0ef65a/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"city_development_index\",\n       AVG(CAST(\"enrollee_id\" AS REAL)) OVER (PARTITION BY \"city_development_index\") AS avg_measure\nFROM \"m9\"\nWHERE \"city_development_index\" IS NOT NULL\n  AND \"city_development_index\" <> ''\n  AND \"enrollee_id\" IS NOT NULL\n  AND \"enrollee_id\" <> ''\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"city_development_index\\\",\\n       AVG(CAST(\\\"enrollee_id\\\" AS REAL)) OVER (PARTITION BY \\\"city_development_index\\\") AS avg_measure\\nFROM \\\"m9\\\"\\nWHERE \\\"city_development_index\\\" IS NOT NULL\\n  AND \\\"city_development_index\\\" <> ''\\n  AND \\\"enrollee_id\\\" IS NOT NULL\\n  AND \\\"enrollee_id\\\" <> ''\\nORDER BY avg_measure DESC;\", \"columns\": [\"city_development_index\", \"avg_measure\"], \"rows\": [{\"city_development_index\": \"0.664\", \"avg_measure\": 32091.0}, {\"city_development_index\": \"0.48700000000000004\", \"avg_measure\": 24357.6}, {\"city_development_index\": \"0.9209999999999999\", \"avg_measure\": 23479.9}, {\"city_development_index\": \"0.479\", \"avg_measure\": 22705.214285714286}, {\"city_development_index\": \"0.516\", \"avg_measure\": 22632.916666666668}, {\"city_development_index\": \"0.512\", \"avg_measure\": 22218.0}, {\"city_development_index\": \"0.7879999999999999\", \"avg_measure\": 22119.14285714286}, {\"city_development_index\": \"0.701\", \"avg_measure\": 21959.777777777777}, {\"city_development_index\": \"0.775\", \"avg_measure\": 21079.2}, {\"city_development_index\": \"0.649\", \"avg_measure\": 20894.25}, {\"city_development_index\": \"0.563\", \"avg_measure\": 20252.0}, {\"city_development_index\": \"0.555\", \"avg_measure\": 20235.20634920635}, {\"city_development_index\": \"0.725\", \"avg_measure\": 20216.5}, {\"city_development_index\": \"0.518\", \"avg_measure\": 20015.5}, {\"city_development_index\": \"0.493\", \"avg_measure\": 19339.846153846152}, {\"city_development_index\": \"0.64\", \"avg_measure\": 19315.76923076923}, {\"city_development_index\": \"0.6659999999999999\", \"avg_measure\": 19004.973684210527}, {\"city_development_index\": \"0.682\", \"avg_measure\": 18748.991596638654}, {\"city_development_index\": \"0.44799999999999995\", \"avg_measure\": 18723.058823529413}, {\"city_development_index\": \"0.556\", \"avg_measure\": 18377.214285714286}, {\"city_development_index\": \"0.74\", \"avg_measure\": 18325.462686567163}, {\"city_development_index\": \"0.848\", \"avg_measure\": 18110.063829787236}, {\"city_development_index\": \"0.624\", \"avg_measure\": 17957.994448556623}, {\"city_development_index\": \"0.7959999999999999\", \"avg_measure\": 17943.827586206895}, {\"city_development_index\": \"0.6890000000000001\", \"avg_measure\": 17904.196078431374}, {\"city_development_index\": \"0.527\", \"avg_measure\": 17873.510869565216}, {\"city_development_index\": \"0.7659999999999999\", \"avg_measure\": 17863.551020408162}, {\"city_development_index\": \"0.8959999999999999\", \"avg_measure\": 17859.657142857144}, {\"city_development_index\": \"0.691\", \"avg_measure\": 17835.777777777777}, {\"city_development_index\": \"0.897\", \"avg_measure\": 17703.0204778157}, {\"city_development_index\": \"0.647\", \"avg_measure\": 17619.14814814815}, {\"city_development_index\": \"0.579\", \"avg_measure\": 17554.325925925925}, {\"city_development_index\": \"0.856\", \"avg_measure\": 17490.71875}, {\"city_development_index\": \"0.73\", \"avg_measure\": 17337.571428571428}, {\"city_development_index\": \"0.722\", \"avg_measure\": 17264.88888888889}, {\"city_development_index\": \"0.8270000000000001\", \"avg_measure\": 17256.270072992702}, {\"city_development_index\": \"0.764\", \"avg_measure\": 17191.291666666668}, {\"city_development_index\": \"0.762\", \"avg_measure\": 17110.234375}, {\"city_development_index\": \"0.91\", \"avg_measure\": 17052.47553816047}, {\"city_development_index\": \"0.92\", \"avg_measure\": 17028.723653846155}, {\"city_development_index\": \"0.836\", \"avg_measure\": 17027.8}, {\"city_development_index\": \"0.9259999999999999\", \"avg_measure\": 17025.49026946108}, {\"city_development_index\": \"0.55\", \"avg_measure\": 16938.975708502025}, {\"city_development_index\": \"0.843\", \"avg_measure\": 16908.35106382979}, {\"city_development_index\": \"0.727\", \"avg_measure\": 16889.0}, {\"city_development_index\": \"0.735\", \"avg_measure\": 16851.75}, {\"city_development_index\": \"0.884\", \"avg_measure\": 16738.57894736842}, {\"city_development_index\": \"0.789\", \"avg_measure\": 16702.59259259259}, {\"city_development_index\": \"0.903\", \"avg_measure\": 16664.60975609756}, {\"city_development_index\": \"0.9129999999999999\", \"avg_measure\": 16653.319796954314}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 66.76}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0d1d5d0b6b0ef65a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0d1d5d0b6b0ef65a/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..888ef0fb5fd58cb4a3839c09932fe8cdbf93a1ba
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0d1d5d0b6b0ef65a/run_manifest.json
@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:06:31.517245+00:00",
+  "ended_at": "2026-05-19T16:06:44.332033+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_0d1d5d0b6b0ef65a",
+    "problem_id": "v2p_m9_5e09915348fdb67c",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "variant_semantic_role": "filtered_stable_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=city_development_index, measure_col=enrollee_id.",
+    "bindings": {
+      "group_col": "city_development_index",
+      "measure_col": "enrollee_id",
+      "top_k": 12,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 25169.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=1",
+      "sql_variant_index=1/2",
+      "binding_index=132"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0d1d5d0b6b0ef65a.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_0d1d5d0b6b0ef65a",
+    "api_calls": 0,
+    "input_tokens": 14666,
+    "cached_input_tokens": 12032,
+    "output_tokens": 682,
+    "total_tokens": 15348,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 12741.36,
+    "sql_execution_elapsed_ms_total": 66.76,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0d1d5d0b6b0ef65a/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0d1d5d0b6b0ef65a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0d1d5d0b6b0ef65a/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..dab1a773882a6a44d2a55281f4b58526202a48a4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0d1d5d0b6b0ef65a/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:06:44.262459+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12741.36, "started_at": "2026-05-19T16:06:31.519396+00:00", "ended_at": "2026-05-19T16:06:44.260783+00:00", "prompt_metrics": {"chars": 9405, "bytes_utf8": 9405, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 637, "bytes_utf8": 637, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14666, "cached_input_tokens": 12032, "output_tokens": 682, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"city_development_index\\\",\\n       AVG(CAST(\\\"enrollee_id\\\" AS REAL)) OVER (PARTITION BY \\\"city_development_index\\\") AS avg_measure\\nFROM \\\"m9\\\"\\nWHERE \\\"city_development_index\\\" IS NOT NULL\\n  AND \\\"city_development_index\\\" <> ''\\n  AND \\\"enrollee_id\\\" IS NOT NULL\\n  AND \\\"enrollee_id\\\" <> ''\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col \\\"city_development_index\\\" and measure_col \\\"enrollee_id\\\". Cast the text-valued identifier to REAL for SQLite averaging and filtered empty values to keep the view stable.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0d1d5d0b6b0ef65a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0d1d5d0b6b0ef65a/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..74787c0962a172702302935b2ecde495fa676b5c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0d1d5d0b6b0ef65a/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_0d1d5d0b6b0ef65a",
+  "api_calls": 0,
+  "input_tokens": 14666,
+  "cached_input_tokens": 12032,
+  "output_tokens": 682,
+  "total_tokens": 15348,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 12741.36,
+  "sql_execution_elapsed_ms_total": 66.76,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0d1d5d0b6b0ef65a/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ebab9486c912765/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ebab9486c912765/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a709338d8e07c5cd538bbc651107a9c5c465ecc7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ebab9486c912765/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=education_level, measure_col=city_development_index.
+Result preview: [{"education_level": "Graduate", "group_value": 9553.635}, {"education_level": "Masters", "group_value": 3645.564}, {"education_level": "High School", "group_value": 1681.956}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ebab9486c912765/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ebab9486c912765/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..f73f5e629d26ba0364fbbdac0f10c02ff9109202
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ebab9486c912765/generated_sql.sql
@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_0ebab9486c912765
+-- problem_id: v2p_m9_ad230218b4bebff6
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "education_level", SUM(CAST(NULLIF("city_development_index", '') AS REAL)) AS "group_value"
+    FROM "m9"
+    GROUP BY "education_level"
+), total AS (
+    SELECT SUM("group_value") AS "total_value"
+    FROM grouped
+)
+SELECT g."education_level", g."group_value"
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g."group_value" > t."total_value" * 0.1
+ORDER BY g."group_value" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ebab9486c912765/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ebab9486c912765/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..2e913936f990557f014ca547523963aa3891bbe1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ebab9486c912765/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"education_level\", SUM(CAST(NULLIF(\"city_development_index\", '') AS REAL)) AS \"group_value\"\n    FROM \"m9\"\n    GROUP BY \"education_level\"\n), total AS (\n    SELECT SUM(\"group_value\") AS \"total_value\"\n    FROM grouped\n)\nSELECT g.\"education_level\", g.\"group_value\"\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"education_level\\\", SUM(CAST(NULLIF(\\\"city_development_index\\\", '') AS REAL)) AS \\\"group_value\\\"\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"education_level\\\"\\n), total AS (\\n    SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n    FROM grouped\\n)\\nSELECT g.\\\"education_level\\\", g.\\\"group_value\\\"\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"education_level\", \"group_value\"], \"rows\": [{\"education_level\": \"Graduate\", \"group_value\": 9553.635}, {\"education_level\": \"Masters\", \"group_value\": 3645.564}, {\"education_level\": \"High School\", \"group_value\": 1681.956}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 21.2}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ebab9486c912765/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ebab9486c912765/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..830aa2194a6461dd8e942a97336e470f990ea9e1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ebab9486c912765/run_manifest.json
@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:47:57.875651+00:00",
+  "ended_at": "2026-05-19T15:48:09.888614+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_0ebab9486c912765",
+    "problem_id": "v2p_m9_ad230218b4bebff6",
+    "dataset_id": "m9",
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=education_level, measure_col=city_development_index.",
+    "bindings": {
+      "group_col": "education_level",
+      "measure_col": "city_development_index",
+      "top_k": 11,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=1/2",
+      "binding_index=76"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0ebab9486c912765.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_0ebab9486c912765",
+    "api_calls": 0,
+    "input_tokens": 14786,
+    "cached_input_tokens": 13696,
+    "output_tokens": 555,
+    "total_tokens": 15341,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 11983.74,
+    "sql_execution_elapsed_ms_total": 21.2,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ebab9486c912765/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ebab9486c912765/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ebab9486c912765/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..fac04436a36a0a4af75516a0fdbdb1f0a3e295ba
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ebab9486c912765/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:48:09.865153+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11983.74, "started_at": "2026-05-19T15:47:57.879769+00:00", "ended_at": "2026-05-19T15:48:09.863564+00:00", "prompt_metrics": {"chars": 9877, "bytes_utf8": 9877, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 718, "bytes_utf8": 718, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14786, "cached_input_tokens": 13696, "output_tokens": 555, "reasoning_output_tokens": 369}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"education_level\\\", SUM(CAST(NULLIF(\\\"city_development_index\\\", '') AS REAL)) AS \\\"group_value\\\"\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"education_level\\\"\\n), total AS (\\n    SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n    FROM grouped\\n)\\nSELECT g.\\\"education_level\\\", g.\\\"group_value\\\"\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Used the planned template with group_col=\\\"education_level\\\" and measure_col=\\\"city_development_index\\\". Casted the measure from TEXT to REAL and treated empty strings as NULL for SQLite-safe aggregation.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ebab9486c912765/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ebab9486c912765/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..01cbf0a6ea998ededbb3540e074c575a87d49304
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ebab9486c912765/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_0ebab9486c912765",
+  "api_calls": 0,
+  "input_tokens": 14786,
+  "cached_input_tokens": 13696,
+  "output_tokens": 555,
+  "total_tokens": 15341,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 11983.74,
+  "sql_execution_elapsed_ms_total": 21.2,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_0ebab9486c912765/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_102d4ac20150a348/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_102d4ac20150a348/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c18ddc44212cca2977893ec9027f25574cce823e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_102d4ac20150a348/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=education_level, measure_col=city_development_index.
+Result preview: [{"education_level": "High School", "percentile_measure": 0.9259999999999999}, {"education_level": "Masters", "percentile_measure": 0.9259999999999999}, {"education_level": "Phd", "percentile_measure": 0.9259999999999999}, {"education_level": "Primary School", "percentile_measure": 0.924}, {"education_level": "Graduate", "percentile_measure": 0.9209999999999999}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_102d4ac20150a348/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_102d4ac20150a348/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..eb7c45d10eb9668401a9f0d85321d2ff398d9caa
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_102d4ac20150a348/generated_sql.sql
@@ -0,0 +1,69 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_m9_102d4ac20150a348
+-- problem_id: v2p_m9_0fae73351a4f6f22
+-- realization_mode: agent
+-- source_kind: agent
+WITH "base" AS (
+  SELECT
+    "education_level" AS "group_col",
+    CAST("city_development_index" AS REAL) AS "measure_col"
+  FROM "m9"
+  WHERE "education_level" IS NOT NULL
+    AND "education_level" <> ''
+    AND "city_development_index" IS NOT NULL
+    AND "city_development_index" <> ''
+),
+"ranked" AS (
+  SELECT
+    "group_col",
+    "measure_col",
+    ROW_NUMBER() OVER (PARTITION BY "group_col" ORDER BY "measure_col") AS "rn",
+    COUNT(*) OVER (PARTITION BY "group_col") AS "n"
+  FROM "base"
+),
+"params" AS (
+  SELECT DISTINCT
+    "group_col",
+    "n",
+    (1.0 + (0.9 * ("n" - 1))) AS "pos",
+    CAST(1.0 + (0.9 * ("n" - 1)) AS INTEGER) AS "lower_rn",
+    CASE
+      WHEN (1.0 + (0.9 * ("n" - 1))) = CAST(1.0 + (0.9 * ("n" - 1)) AS INTEGER)
+        THEN CAST(1.0 + (0.9 * ("n" - 1)) AS INTEGER)
+      ELSE CAST(1.0 + (0.9 * ("n" - 1)) AS INTEGER) + 1
+    END AS "upper_rn"
+  FROM "ranked"
+),
+"picked" AS (
+  SELECT
+    p."group_col",
+    p."pos",
+    p."lower_rn",
+    p."upper_rn",
+    MAX(CASE WHEN r."rn" = p."lower_rn" THEN r."measure_col" END) AS "lower_val",
+    MAX(CASE WHEN r."rn" = p."upper_rn" THEN r."measure_col" END) AS "upper_val"
+  FROM "params" p
+  JOIN "ranked" r
+    ON r."group_col" = p."group_col"
+  GROUP BY
+    p."group_col",
+    p."pos",
+    p."lower_rn",
+    p."upper_rn"
+)
+SELECT
+  "group_col" AS "education_level",
+  CASE
+    WHEN "lower_rn" = "upper_rn" THEN "lower_val"
+    ELSE "lower_val" + (("pos" - "lower_rn") * ("upper_val" - "lower_val"))
+  END AS "percentile_measure"
+FROM "picked"
+ORDER BY "percentile_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_102d4ac20150a348/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_102d4ac20150a348/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b71f9bc6fda1bae71d651c9c42fdeb384e742564
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_102d4ac20150a348/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n  SELECT\n    \"education_level\" AS \"group_col\",\n    CAST(\"city_development_index\" AS REAL) AS \"measure_col\"\n  FROM \"m9\"\n  WHERE \"education_level\" IS NOT NULL\n    AND \"education_level\" <> ''\n    AND \"city_development_index\" IS NOT NULL\n    AND \"city_development_index\" <> ''\n),\n\"ranked\" AS (\n  SELECT\n    \"group_col\",\n    \"measure_col\",\n    ROW_NUMBER() OVER (PARTITION BY \"group_col\" ORDER BY \"measure_col\") AS \"rn\",\n    COUNT(*) OVER (PARTITION BY \"group_col\") AS \"n\"\n  FROM \"base\"\n),\n\"params\" AS (\n  SELECT DISTINCT\n    \"group_col\",\n    \"n\",\n    (1.0 + (0.9 * (\"n\" - 1))) AS \"pos\",\n    CAST(1.0 + (0.9 * (\"n\" - 1)) AS INTEGER) AS \"lower_rn\",\n    CASE\n      WHEN (1.0 + (0.9 * (\"n\" - 1))) = CAST(1.0 + (0.9 * (\"n\" - 1)) AS INTEGER)\n        THEN CAST(1.0 + (0.9 * (\"n\" - 1)) AS INTEGER)\n      ELSE CAST(1.0 + (0.9 * (\"n\" - 1)) AS INTEGER) + 1\n    END AS \"upper_rn\"\n  FROM \"ranked\"\n),\n\"picked\" AS (\n  SELECT\n    p.\"group_col\",\n    p.\"pos\",\n    p.\"lower_rn\",\n    p.\"upper_rn\",\n    MAX(CASE WHEN r.\"rn\" = p.\"lower_rn\" THEN r.\"measure_col\" END) AS \"lower_val\",\n    MAX(CASE WHEN r.\"rn\" = p.\"upper_rn\" THEN r.\"measure_col\" END) AS \"upper_val\"\n  FROM \"params\" p\n  JOIN \"ranked\" r\n    ON r.\"group_col\" = p.\"group_col\"\n  GROUP BY\n    p.\"group_col\",\n    p.\"pos\",\n    p.\"lower_rn\",\n    p.\"upper_rn\"\n)\nSELECT\n  \"group_col\" AS \"education_level\",\n  CASE\n    WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n    ELSE \"lower_val\" + ((\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\"))\n  END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    \\\"education_level\\\" AS \\\"group_col\\\",\\n    CAST(\\\"city_development_index\\\" AS REAL) AS \\\"measure_col\\\"\\n  FROM \\\"m9\\\"\\n  WHERE \\\"education_level\\\" IS NOT NULL\\n    AND \\\"education_level\\\" <> ''\\n    AND \\\"city_development_index\\\" IS NOT NULL\\n    AND \\\"city_development_index\\\" <> ''\\n),\\n\\\"ranked\\\" AS (\\n  SELECT\\n    \\\"group_col\\\",\\n    \\\"measure_col\\\",\\n    ROW_NUMBER() OVER (PARTITION BY \\\"group_col\\\" ORDER BY \\\"measure_col\\\") AS \\\"rn\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"group_col\\\") AS \\\"n\\\"\\n  FROM \\\"base\\\"\\n),\\n\\\"params\\\" AS (\\n  SELECT DISTINCT\\n    \\\"group_col\\\",\\n    \\\"n\\\",\\n    (1.0 + (0.9 * (\\\"n\\\" - 1))) AS \\\"pos\\\",\\n    CAST(1.0 + (0.9 * (\\\"n\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n    CASE\\n      WHEN (1.0 + (0.9 * (\\\"n\\\" - 1))) = CAST(1.0 + (0.9 * (\\\"n\\\" - 1)) AS INTEGER)\\n        THEN CAST(1.0 + (0.9 * (\\\"n\\\" - 1)) AS INTEGER)\\n      ELSE CAST(1.0 + (0.9 * (\\\"n\\\" - 1)) AS INTEGER) + 1\\n    END AS \\\"upper_rn\\\"\\n  FROM \\\"ranked\\\"\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    p.\\\"group_col\\\",\\n    p.\\\"pos\\\",\\n    p.\\\"lower_rn\\\",\\n    p.\\\"upper_rn\\\",\\n    MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN r.\\\"measure_col\\\" END) AS \\\"lower_val\\\",\\n    MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN r.\\\"measure_col\\\" END) AS \\\"upper_val\\\"\\n  FROM \\\"params\\\" p\\n  JOIN \\\"ranked\\\" r\\n    ON r.\\\"group_col\\\" = p.\\\"group_col\\\"\\n  GROUP BY\\n    p.\\\"group_col\\\",\\n    p.\\\"pos\\\",\\n    p.\\\"lower_rn\\\",\\n    p.\\\"upper_rn\\\"\\n)\\nSELECT\\n  \\\"group_col\\\" AS \\\"education_level\\\",\\n  CASE\\n    WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n    ELSE \\\"lower_val\\\" + ((\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\"))\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"education_level\", \"percentile_measure\"], \"rows\": [{\"education_level\": \"High School\", \"percentile_measure\": 0.9259999999999999}, {\"education_level\": \"Masters\", \"percentile_measure\": 0.9259999999999999}, {\"education_level\": \"Phd\", \"percentile_measure\": 0.9259999999999999}, {\"education_level\": \"Primary School\", \"percentile_measure\": 0.924}, {\"education_level\": \"Graduate\", \"percentile_measure\": 0.9209999999999999}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 72.91}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_102d4ac20150a348/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_102d4ac20150a348/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..6b5f2f46579b2927529e9289776444d9b3fdb069
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_102d4ac20150a348/run_manifest.json
@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:54:57.985583+00:00",
+  "ended_at": "2026-05-19T15:55:16.733711+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_102d4ac20150a348",
+    "problem_id": "v2p_m9_0fae73351a4f6f22",
+    "dataset_id": "m9",
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_concentration_consistency",
+    "intended_facet_id": "rare_target_concentration",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=education_level, measure_col=city_development_index.",
+    "bindings": {
+      "group_col": "education_level",
+      "measure_col": "city_development_index",
+      "top_k": 18,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "notes": [
+      "default_facets=rare_target_concentration",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=2/2",
+      "binding_index=88"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_102d4ac20150a348.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_102d4ac20150a348",
+    "api_calls": 0,
+    "input_tokens": 14688,
+    "cached_input_tokens": 13696,
+    "output_tokens": 1186,
+    "total_tokens": 15874,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 18670.69,
+    "sql_execution_elapsed_ms_total": 72.91,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_102d4ac20150a348/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_102d4ac20150a348/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_102d4ac20150a348/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..566e32c5d76ef95a7159d53b91d3e5e7df38b9b6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_102d4ac20150a348/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:55:16.658872+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 18670.69, "started_at": "2026-05-19T15:54:57.987400+00:00", "ended_at": "2026-05-19T15:55:16.658116+00:00", "prompt_metrics": {"chars": 9502, "bytes_utf8": 9502, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 1990, "bytes_utf8": 1990, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14688, "cached_input_tokens": 13696, "output_tokens": 1186, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    \\\"education_level\\\" AS \\\"group_col\\\",\\n    CAST(\\\"city_development_index\\\" AS REAL) AS \\\"measure_col\\\"\\n  FROM \\\"m9\\\"\\n  WHERE \\\"education_level\\\" IS NOT NULL\\n    AND \\\"education_level\\\" <> ''\\n    AND \\\"city_development_index\\\" IS NOT NULL\\n    AND \\\"city_development_index\\\" <> ''\\n),\\n\\\"ranked\\\" AS (\\n  SELECT\\n    \\\"group_col\\\",\\n    \\\"measure_col\\\",\\n    ROW_NUMBER() OVER (PARTITION BY \\\"group_col\\\" ORDER BY \\\"measure_col\\\") AS \\\"rn\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"group_col\\\") AS \\\"n\\\"\\n  FROM \\\"base\\\"\\n),\\n\\\"params\\\" AS (\\n  SELECT DISTINCT\\n    \\\"group_col\\\",\\n    \\\"n\\\",\\n    (1.0 + (0.9 * (\\\"n\\\" - 1))) AS \\\"pos\\\",\\n    CAST(1.0 + (0.9 * (\\\"n\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n    CASE\\n      WHEN (1.0 + (0.9 * (\\\"n\\\" - 1))) = CAST(1.0 + (0.9 * (\\\"n\\\" - 1)) AS INTEGER)\\n        THEN CAST(1.0 + (0.9 * (\\\"n\\\" - 1)) AS INTEGER)\\n      ELSE CAST(1.0 + (0.9 * (\\\"n\\\" - 1)) AS INTEGER) + 1\\"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_102d4ac20150a348/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_102d4ac20150a348/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..e54f068049ea0888896cbac7b1796a34ceae9bf1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_102d4ac20150a348/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_102d4ac20150a348",
+  "api_calls": 0,
+  "input_tokens": 14688,
+  "cached_input_tokens": 13696,
+  "output_tokens": 1186,
+  "total_tokens": 15874,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 18670.69,
+  "sql_execution_elapsed_ms_total": 72.91,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_102d4ac20150a348/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_14826b2ffd2eecc5/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_14826b2ffd2eecc5/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cf23ea6d7f74c4fc9bfd2ab2afc26f29260aeabc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_14826b2ffd2eecc5/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=enrollee_id.
+Result preview: [{"empirical_cdf_at_threshold": 0.7499739012423009}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_14826b2ffd2eecc5/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_14826b2ffd2eecc5/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..1f7c9badb016f24f0059d3e67acf27340db4c6a6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_14826b2ffd2eecc5/generated_sql.sql
@@ -0,0 +1,15 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_threshold_rarity_cdf
+-- query_record_id: v2q_m9_14826b2ffd2eecc5
+-- problem_id: v2p_m9_64d02d5cbef09ccd
+-- realization_mode: agent
+-- source_kind: agent
+SELECT AVG(CASE WHEN CAST("enrollee_id" AS REAL) <= 25169.75 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold"
+FROM "m9";
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_14826b2ffd2eecc5/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_14826b2ffd2eecc5/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..0d511402d9d12f30ce8175eab0e64bf2f2feb020
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_14826b2ffd2eecc5/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_threshold_rarity_cdf.\nSELECT AVG(CASE WHEN CAST(\"enrollee_id\" AS REAL) <= 25169.75 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m9\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf.\\nSELECT AVG(CASE WHEN CAST(\\\"enrollee_id\\\" AS REAL) <= 25169.75 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m9\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.7499739012423009}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.35}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_14826b2ffd2eecc5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_14826b2ffd2eecc5/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..673e8d43ea52173c1172e18288c1ad88e44b3194
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_14826b2ffd2eecc5/run_manifest.json
@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:03:08.119552+00:00",
+  "ended_at": "2026-05-19T16:03:19.260521+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_14826b2ffd2eecc5",
+    "problem_id": "v2p_m9_64d02d5cbef09ccd",
+    "dataset_id": "m9",
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=enrollee_id.",
+    "bindings": {
+      "measure_col": "enrollee_id",
+      "top_k": 11,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 25169.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=1/1",
+      "binding_index=111"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 10,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_14826b2ffd2eecc5.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_14826b2ffd2eecc5",
+    "api_calls": 0,
+    "input_tokens": 14639,
+    "cached_input_tokens": 12032,
+    "output_tokens": 423,
+    "total_tokens": 15062,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 11129.65,
+    "sql_execution_elapsed_ms_total": 5.35,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_14826b2ffd2eecc5/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_14826b2ffd2eecc5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_14826b2ffd2eecc5/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..a6f552c778029dd0d411640128fadd731bf15514
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_14826b2ffd2eecc5/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:03:19.253725+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11129.65, "started_at": "2026-05-19T16:03:08.123146+00:00", "ended_at": "2026-05-19T16:03:19.252833+00:00", "prompt_metrics": {"chars": 9227, "bytes_utf8": 9227, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 367, "bytes_utf8": 367, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14639, "cached_input_tokens": 12032, "output_tokens": 423, "reasoning_output_tokens": 312}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf.\\nSELECT AVG(CASE WHEN CAST(\\\"enrollee_id\\\" AS REAL) <= 25169.75 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m9\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"enrollee_id\\\" and threshold 25169.75; CAST to REAL is used because the schema stores the column as TEXT.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_14826b2ffd2eecc5/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_14826b2ffd2eecc5/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..eabbd32c8a519f47bc17f5a1d205197e0dae3fd6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_14826b2ffd2eecc5/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_14826b2ffd2eecc5",
+  "api_calls": 0,
+  "input_tokens": 14639,
+  "cached_input_tokens": 12032,
+  "output_tokens": 423,
+  "total_tokens": 15062,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 11129.65,
+  "sql_execution_elapsed_ms_total": 5.35,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_14826b2ffd2eecc5/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15e8ebf8c77ece86/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15e8ebf8c77ece86/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4d42781f6becfc2774fe7aad2d09e01cf497aa6b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15e8ebf8c77ece86/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"city_development_index": "0.92", "support": 5200, "avg_response": 17028.723653846155}, {"city_development_index": "0.624", "support": 2702, "avg_response": 17957.994448556623}, {"city_development_index": "0.91", "support": 1533, "avg_response": 17052.47553816047}, {"city_development_index": "0.9259999999999999", "support": 1336, "avg_response": 17025.49026946108}, {"city_development_index": "0.698", "support": 683, "avg_response": 16166.497803806735}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15e8ebf8c77ece86/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15e8ebf8c77ece86/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..8f0a8e086dbc0c0d49e4aead74663243bd5c9f93
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15e8ebf8c77ece86/generated_sql.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: high_cardinality_response_stability
+-- intended_facet_id: target_cardinality_cross_section
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_cardinality_high_card_response_stability
+-- query_record_id: v2q_m9_15e8ebf8c77ece86
+-- problem_id: v2p_m9_284c5479abb24075
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "city_development_index",
+    COUNT(*) AS support,
+    AVG("enrollee_id") AS avg_response
+FROM "m9"
+GROUP BY "city_development_index"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15e8ebf8c77ece86/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15e8ebf8c77ece86/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..ca5594a3d2f427a7a3dc419443dad02bad605b96
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15e8ebf8c77ece86/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m9_15e8ebf8c77ece86\n-- problem_id: v2p_m9_284c5479abb24075\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"city_development_index\",\n    COUNT(*) AS support,\n    AVG(\"enrollee_id\") AS avg_response\nFROM \"m9\"\nGROUP BY \"city_development_index\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m9_15e8ebf8c77ece86\\n-- problem_id: v2p_m9_284c5479abb24075\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"city_development_index\\\",\\n    COUNT(*) AS support,\\n    AVG(\\\"enrollee_id\\\") AS avg_response\\nFROM \\\"m9\\\"\\nGROUP BY \\\"city_development_index\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"city_development_index\", \"support\", \"avg_response\"], \"rows\": [{\"city_development_index\": \"0.92\", \"support\": 5200, \"avg_response\": 17028.723653846155}, {\"city_development_index\": \"0.624\", \"support\": 2702, \"avg_response\": 17957.994448556623}, {\"city_development_index\": \"0.91\", \"support\": 1533, \"avg_response\": 17052.47553816047}, {\"city_development_index\": \"0.9259999999999999\", \"support\": 1336, \"avg_response\": 17025.49026946108}, {\"city_development_index\": \"0.698\", \"support\": 683, \"avg_response\": 16166.497803806735}, {\"city_development_index\": \"0.897\", \"support\": 586, \"avg_response\": 17703.0204778157}, {\"city_development_index\": \"0.9390000000000001\", \"support\": 497, \"avg_response\": 16229.676056338029}, {\"city_development_index\": \"0.855\", \"support\": 431, \"avg_response\": 13940.241299303945}, {\"city_development_index\": \"0.804\", \"support\": 304, \"avg_response\": 15721.480263157895}, {\"city_development_index\": \"0.924\", \"support\": 301, \"avg_response\": 15683.232558139534}, {\"city_development_index\": \"0.754\", \"support\": 280, \"avg_response\": 16375.171428571428}, {\"city_development_index\": \"0.887\", \"support\": 275, \"avg_response\": 15617.603636363636}, {\"city_development_index\": \"0.884\", \"support\": 266, \"avg_response\": 16738.57894736842}, {\"city_development_index\": \"0.55\", \"support\": 247, \"avg_response\": 16938.975708502025}, {\"city_development_index\": \"0.9129999999999999\", \"support\": 197, \"avg_response\": 16653.319796954314}, {\"city_development_index\": \"0.899\", \"support\": 182, \"avg_response\": 13085.648351648351}, {\"city_development_index\": \"0.802\", \"support\": 175, \"avg_response\": 15679.885714285714}, {\"city_development_index\": \"0.925\", \"support\": 171, \"avg_response\": 16456.16374269006}, {\"city_development_index\": \"0.893\", \"support\": 160, \"avg_response\": 15496.18125}, {\"city_development_index\": \"0.878\", \"support\": 151, \"avg_response\": 16098.476821192053}, {\"city_development_index\": \"0.743\", \"support\": 146, \"avg_response\": 14943.568493150686}, {\"city_development_index\": \"0.9229999999999999\", \"support\": 143, \"avg_response\": 16058.237762237763}, {\"city_development_index\": \"0.8959999999999999\", \"support\": 140, \"avg_response\": 17859.657142857144}, {\"city_development_index\": \"0.8270000000000001\", \"support\": 137, \"avg_response\": 17256.270072992702}, {\"city_development_index\": \"0.579\", \"support\": 135, \"avg_response\": 17554.325925925925}, {\"city_development_index\": \"0.762\", \"support\": 128, \"avg_response\": 17110.234375}, {\"city_development_index\": \"0.767\", \"support\": 128, \"avg_response\": 16197.671875}, {\"city_development_index\": \"0.836\", \"support\": 120, \"avg_response\": 17027.8}, {\"city_development_index\": \"0.682\", \"support\": 119, \"avg_response\": 18748.991596638654}, {\"city_development_index\": \"0.6659999999999999\", \"support\": 114, \"avg_response\": 19004.973684210527}, {\"city_development_index\": \"0.89\", \"support\": 113, \"avg_response\": 13652.566371681416}, {\"city_development_index\": \"0.866\", \"support\": 103, \"avg_response\": 15241.116504854368}, {\"city_development_index\": \"0.6890000000000001\", \"support\": 102, \"avg_response\": 17904.196078431374}, {\"city_development_index\": \"0.843\", \"support\": 94, \"avg_response\": 16908.35106382979}, {\"city_development_index\": \"0.915\", \"support\": 94, \"avg_response\": 16347.808510638299}, {\"city_development_index\": \"0.794\", \"support\": 93, \"avg_response\": 14827.440860215054}, {\"city_development_index\": \"0.527\", \"support\": 92, \"avg_response\": 17873.510869565216}, {\"city_development_index\": \"0.895\", \"support\": 86, \"avg_response\": 15119.941860465116}, {\"city_development_index\": \"0.903\", \"support\": 82, \"avg_response\": 16664.60975609756}, {\"city_development_index\": \"0.7759999999999999\", \"support\": 82, \"avg_response\": 15696.329268292682}, {\"city_development_index\": \"0.9490000000000001\", \"support\": 79, \"avg_response\": 15815.189873417721}, {\"city_development_index\": \"0.738\", \"support\": 79, \"avg_response\": 15586.405063291139}, {\"city_development_index\": \"0.5579999999999999\", \"support\": 75, \"avg_response\": 15548.186666666666}, {\"city_development_index\": \"0.74\", \"support\": 67, \"avg_response\": 18325.462686567163}, {\"city_development_index\": \"0.555\", \"support\": 63, \"avg_response\": 20235.20634920635}, {\"city_development_index\": \"0.789\", \"support\": 54, \"avg_response\": 16702.59259259259}, {\"city_development_index\": \"0.727\", \"support\": 53, \"avg_response\": 16889.0}, {\"city_development_index\": \"0.7659999999999999\", \"support\": 49, \"avg_response\": 17863.551020408162}, {\"city_development_index\": \"0.848\", \"support\": 47, \"avg_response\": 18110.063829787236}, {\"city_development_index\": \"0.691\", \"support\": 45, \"avg_response\": 17835.777777777777}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 9.01}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15e8ebf8c77ece86/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15e8ebf8c77ece86/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..37f4075645d5d6b3afd9ce0c3a55f5e6da44d483
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15e8ebf8c77ece86/run_manifest.json
@@ -0,0 +1,60 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.437432+00:00",
+  "ended_at": "2026-05-19T16:08:56.447300+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_15e8ebf8c77ece86",
+    "problem_id": "v2p_m9_284c5479abb24075",
+    "dataset_id": "m9",
+    "template_id": "tpl_cardinality_high_card_response_stability",
+    "template_name": "High-Cardinality Response Stability",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "high_cardinality_response_stability",
+    "intended_facet_id": "target_cardinality_cross_section",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=enrollee_id, key_col=city_development_index.",
+    "bindings": {
+      "key_col": "city_development_index",
+      "measure_col": "enrollee_id",
+      "min_support": 5
+    },
+    "binding_roles": [
+      "key_col",
+      "target_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {key_col},\n    COUNT(*) AS support,\n    AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;",
+    "notes": [
+      "default_facets=target_cardinality_cross_section",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=6",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_15e8ebf8c77ece86.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15e8ebf8c77ece86/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15e8ebf8c77ece86/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15e8ebf8c77ece86/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15eb58bf509589a4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15eb58bf509589a4/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f2b4745bba5994b7f731affdf24e1705e391bb23
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15eb58bf509589a4/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=city_development_index, measure_col=enrollee_id.
+Result preview: [{"city_development_index": "0.664", "enrollee_id": "32091", "total_measure": 32091.0, "share_within_group": 100.0}, {"city_development_index": "0.7809999999999999", "enrollee_id": "18672", "total_measure": 18672.0, "share_within_group": 40.31001057835539}, {"city_development_index": "0.625", "enrollee_id": "17630", "total_measure": 17630.0, "share_within_group": 40.159453302961275}, {"city_development_index": "0.645", "enrollee_id": "30030", "total_measure": 30030.0, "share_within_group": 40.06778032769387}, {"city_development_index": "0.625", "enrollee_id": "16655", "total_measure": 16655.0, "share_within_group": 37.93849658314351}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15eb58bf509589a4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15eb58bf509589a4/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..365589e155baaaee798b4ac0621a827d0e78424f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15eb58bf509589a4/generated_sql.sql
@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_15eb58bf509589a4
+-- problem_id: v2p_m9_8e4dcb48a8f09d0d
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "city_development_index", "enrollee_id",
+       SUM(CAST("enrollee_id" AS REAL)) AS "total_measure",
+       SUM(CAST("enrollee_id" AS REAL)) * 100.0 / SUM(SUM(CAST("enrollee_id" AS REAL))) OVER (PARTITION BY "city_development_index") AS "share_within_group"
+FROM "m9"
+GROUP BY "city_development_index", "enrollee_id"
+ORDER BY "share_within_group" DESC
+LIMIT 19;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15eb58bf509589a4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15eb58bf509589a4/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..185e834d89848611c7857e2700c6e54ae1ed345e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15eb58bf509589a4/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"city_development_index\", \"enrollee_id\",\n       SUM(CAST(\"enrollee_id\" AS REAL)) AS \"total_measure\",\n       SUM(CAST(\"enrollee_id\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"enrollee_id\" AS REAL))) OVER (PARTITION BY \"city_development_index\") AS \"share_within_group\"\nFROM \"m9\"\nGROUP BY \"city_development_index\", \"enrollee_id\"\nORDER BY \"share_within_group\" DESC\nLIMIT 19;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"city_development_index\\\", \\\"enrollee_id\\\",\\n       SUM(CAST(\\\"enrollee_id\\\" AS REAL)) AS \\\"total_measure\\\",\\n       SUM(CAST(\\\"enrollee_id\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"enrollee_id\\\" AS REAL))) OVER (PARTITION BY \\\"city_development_index\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"city_development_index\\\", \\\"enrollee_id\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 19;\", \"columns\": [\"city_development_index\", \"enrollee_id\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"city_development_index\": \"0.664\", \"enrollee_id\": \"32091\", \"total_measure\": 32091.0, \"share_within_group\": 100.0}, {\"city_development_index\": \"0.7809999999999999\", \"enrollee_id\": \"18672\", \"total_measure\": 18672.0, \"share_within_group\": 40.31001057835539}, {\"city_development_index\": \"0.625\", \"enrollee_id\": \"17630\", \"total_measure\": 17630.0, \"share_within_group\": 40.159453302961275}, {\"city_development_index\": \"0.645\", \"enrollee_id\": \"30030\", \"total_measure\": 30030.0, \"share_within_group\": 40.06778032769387}, {\"city_development_index\": \"0.625\", \"enrollee_id\": \"16655\", \"total_measure\": 16655.0, \"share_within_group\": 37.93849658314351}, {\"city_development_index\": \"0.693\", \"enrollee_id\": \"15060\", \"total_measure\": 15060.0, \"share_within_group\": 37.386425698823295}, {\"city_development_index\": \"0.78\", \"enrollee_id\": \"28600\", \"total_measure\": 28600.0, \"share_within_group\": 36.8532955350815}, {\"city_development_index\": \"0.649\", \"enrollee_id\": \"29251\", \"total_measure\": 29251.0, \"share_within_group\": 34.99886332364167}, {\"city_development_index\": \"0.807\", \"enrollee_id\": \"22169\", \"total_measure\": 22169.0, \"share_within_group\": 34.850890569241166}, {\"city_development_index\": \"0.693\", \"enrollee_id\": \"13253\", \"total_measure\": 13253.0, \"share_within_group\": 32.90055111464178}, {\"city_development_index\": \"0.8240000000000001\", \"enrollee_id\": \"17761\", \"total_measure\": 17761.0, \"share_within_group\": 32.49359678009513}, {\"city_development_index\": \"0.807\", \"enrollee_id\": \"20619\", \"total_measure\": 20619.0, \"share_within_group\": 32.41420509031457}, {\"city_development_index\": \"0.78\", \"enrollee_id\": \"24646\", \"total_measure\": 24646.0, \"share_within_group\": 31.758262998518138}, {\"city_development_index\": \"0.649\", \"enrollee_id\": \"26401\", \"total_measure\": 26401.0, \"share_within_group\": 31.588834248656926}, {\"city_development_index\": \"0.7809999999999999\", \"enrollee_id\": \"13880\", \"total_measure\": 13880.0, \"share_within_group\": 29.964810776969408}, {\"city_development_index\": \"0.7809999999999999\", \"enrollee_id\": \"13769\", \"total_measure\": 13769.0, \"share_within_group\": 29.7251786446752}, {\"city_development_index\": \"0.512\", \"enrollee_id\": \"31443\", \"total_measure\": 31443.0, \"share_within_group\": 28.30407777477721}, {\"city_development_index\": \"0.8240000000000001\", \"enrollee_id\": \"15406\", \"total_measure\": 15406.0, \"share_within_group\": 28.18514452982071}, {\"city_development_index\": \"0.8240000000000001\", \"enrollee_id\": \"15010\", \"total_measure\": 15010.0, \"share_within_group\": 27.460665934870107}], \"row_count_returned\": 19, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 69.98}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15eb58bf509589a4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15eb58bf509589a4/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..df2994e4c2da1571150329698d5049bfb03959d3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15eb58bf509589a4/run_manifest.json
@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:34:09.696545+00:00",
+  "ended_at": "2026-05-19T15:34:33.020564+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_15eb58bf509589a4",
+    "problem_id": "v2p_m9_8e4dcb48a8f09d0d",
+    "dataset_id": "m9",
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=city_development_index, measure_col=enrollee_id.",
+    "bindings": {
+      "group_col": "city_development_index",
+      "measure_col": "enrollee_id",
+      "item_col": "enrollee_id",
+      "top_k": 19,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 22283.62,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=1",
+      "sql_variant_index=2/2",
+      "binding_index=24"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_15eb58bf509589a4.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_15eb58bf509589a4",
+    "api_calls": 0,
+    "input_tokens": 14774,
+    "cached_input_tokens": 12032,
+    "output_tokens": 1232,
+    "total_tokens": 16006,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 23249.69,
+    "sql_execution_elapsed_ms_total": 69.98,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15eb58bf509589a4/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15eb58bf509589a4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15eb58bf509589a4/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..58a4d92c4226608554c50fa871a22cd5eef28ea6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15eb58bf509589a4/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:34:32.949101+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 23249.69, "started_at": "2026-05-19T15:34:09.698449+00:00", "ended_at": "2026-05-19T15:34:32.948158+00:00", "prompt_metrics": {"chars": 9729, "bytes_utf8": 9729, "lines": 266, "estimated_tokens": null}, "response_metrics": {"chars": 682, "bytes_utf8": 682, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14774, "cached_input_tokens": 12032, "output_tokens": 1232, "reasoning_output_tokens": 1034}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"city_development_index\\\", \\\"enrollee_id\\\",\\n       SUM(CAST(\\\"enrollee_id\\\" AS REAL)) AS \\\"total_measure\\\",\\n       SUM(CAST(\\\"enrollee_id\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"enrollee_id\\\" AS REAL))) OVER (PARTITION BY \\\"city_development_index\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"city_development_index\\\", \\\"enrollee_id\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 19;\",\"notes\":\"Used the requested Within-Group Share of Total template with group_col=\\\"city_development_index\\\" and item_col/measure_col=\\\"enrollee_id\\\". CAST(\\\"enrollee_id\\\" AS REAL) is needed because the schema stores it as TEXT.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15eb58bf509589a4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15eb58bf509589a4/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..5a6557d02ffcc663cb08a1c841d28fbcc052ea7b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15eb58bf509589a4/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_15eb58bf509589a4",
+  "api_calls": 0,
+  "input_tokens": 14774,
+  "cached_input_tokens": 12032,
+  "output_tokens": 1232,
+  "total_tokens": 16006,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 23249.69,
+  "sql_execution_elapsed_ms_total": 69.98,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_15eb58bf509589a4/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_18af7d0afaf31093/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_18af7d0afaf31093/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..39b38ed31430cf46ee120dbc78c38e0d17ceeb00
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_18af7d0afaf31093/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=training_hours.
+Result preview: [{"training_hours": "336"}, {"training_hours": "336"}, {"training_hours": "336"}, {"training_hours": "336"}, {"training_hours": "336"}] Results were truncated.
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_18af7d0afaf31093/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_18af7d0afaf31093/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..eba476394cf6f2c30944eda5770e0c575bed3469
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_18af7d0afaf31093/generated_sql.sql
@@ -0,0 +1,23 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_m4_quantile_tail_slice
+-- query_record_id: v2q_m9_18af7d0afaf31093
+-- problem_id: v2p_m9_473fdc4afea0d76c
+-- realization_mode: agent
+-- source_kind: agent
+WITH buckets AS (
+    SELECT "training_hours",
+           NTILE(10) OVER (ORDER BY CAST(NULLIF("training_hours", '') AS REAL) DESC) AS tail_bucket
+    FROM "m9"
+    WHERE NULLIF("training_hours", '') IS NOT NULL
+)
+SELECT "training_hours"
+FROM buckets
+WHERE tail_bucket = 1
+ORDER BY CAST("training_hours" AS REAL) DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_18af7d0afaf31093/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_18af7d0afaf31093/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..1624937a79c60f5289aa63170891f30952cfef5f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_18af7d0afaf31093/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n    SELECT \"training_hours\",\n           NTILE(10) OVER (ORDER BY CAST(NULLIF(\"training_hours\", '') AS REAL) DESC) AS tail_bucket\n    FROM \"m9\"\n    WHERE NULLIF(\"training_hours\", '') IS NOT NULL\n)\nSELECT \"training_hours\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"training_hours\" AS REAL) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n    SELECT \\\"training_hours\\\",\\n           NTILE(10) OVER (ORDER BY CAST(NULLIF(\\\"training_hours\\\", '') AS REAL) DESC) AS tail_bucket\\n    FROM \\\"m9\\\"\\n    WHERE NULLIF(\\\"training_hours\\\", '') IS NOT NULL\\n)\\nSELECT \\\"training_hours\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"training_hours\\\" AS REAL) DESC;\", \"columns\": [\"training_hours\"], \"rows\": [{\"training_hours\": \"336\"}, {\"training_hours\": \"336\"}, {\"training_hours\": \"336\"}, {\"training_hours\": \"336\"}, {\"training_hours\": \"336\"}, {\"training_hours\": \"336\"}, {\"training_hours\": \"336\"}, {\"training_hours\": \"336\"}, {\"training_hours\": \"336\"}, {\"training_hours\": \"336\"}, {\"training_hours\": \"336\"}, {\"training_hours\": \"334\"}, {\"training_hours\": \"334\"}, {\"training_hours\": \"334\"}, {\"training_hours\": \"334\"}, {\"training_hours\": \"334\"}, {\"training_hours\": \"334\"}, {\"training_hours\": \"334\"}, {\"training_hours\": \"334\"}, {\"training_hours\": \"334\"}, {\"training_hours\": \"334\"}, {\"training_hours\": \"334\"}, {\"training_hours\": \"332\"}, {\"training_hours\": \"332\"}, {\"training_hours\": \"332\"}, {\"training_hours\": \"332\"}, {\"training_hours\": \"332\"}, {\"training_hours\": \"332\"}, {\"training_hours\": \"332\"}, {\"training_hours\": \"332\"}, {\"training_hours\": \"332\"}, {\"training_hours\": \"332\"}, {\"training_hours\": \"332\"}, {\"training_hours\": \"332\"}, {\"training_hours\": \"330\"}, {\"training_hours\": \"330\"}, {\"training_hours\": \"330\"}, {\"training_hours\": \"330\"}, {\"training_hours\": \"330\"}, {\"training_hours\": \"330\"}, {\"training_hours\": \"330\"}, {\"training_hours\": \"330\"}, {\"training_hours\": \"330\"}, {\"training_hours\": \"330\"}, {\"training_hours\": \"330\"}, {\"training_hours\": \"328\"}, {\"training_hours\": \"328\"}, {\"training_hours\": \"328\"}, {\"training_hours\": \"328\"}, {\"training_hours\": \"328\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 32.6}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_18af7d0afaf31093/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_18af7d0afaf31093/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..d6f14faa0c2a2695561a8f0c663ead32627c3963
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_18af7d0afaf31093/run_manifest.json
@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:45:08.044752+00:00",
+  "ended_at": "2026-05-19T15:45:19.395280+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_18af7d0afaf31093",
+    "problem_id": "v2p_m9_473fdc4afea0d76c",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=training_hours.",
+    "bindings": {
+      "measure_col": "training_hours",
+      "top_k": 10,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 88.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=1/1",
+      "binding_index=65"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 6,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_18af7d0afaf31093.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_18af7d0afaf31093",
+    "api_calls": 0,
+    "input_tokens": 14699,
+    "cached_input_tokens": 12032,
+    "output_tokens": 464,
+    "total_tokens": 15163,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 11313.69,
+    "sql_execution_elapsed_ms_total": 32.6,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_18af7d0afaf31093/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_18af7d0afaf31093/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_18af7d0afaf31093/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..360fca127ada8e63b91d701c1af3f19bca4acedd
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_18af7d0afaf31093/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:45:19.361022+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11313.69, "started_at": "2026-05-19T15:45:08.046541+00:00", "ended_at": "2026-05-19T15:45:19.360254+00:00", "prompt_metrics": {"chars": 9463, "bytes_utf8": 9463, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 585, "bytes_utf8": 585, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14699, "cached_input_tokens": 12032, "output_tokens": 464, "reasoning_output_tokens": 315}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n    SELECT \\\"training_hours\\\",\\n           NTILE(10) OVER (ORDER BY CAST(NULLIF(\\\"training_hours\\\", '') AS REAL) DESC) AS tail_bucket\\n    FROM \\\"m9\\\"\\n    WHERE NULLIF(\\\"training_hours\\\", '') IS NOT NULL\\n)\\nSELECT \\\"training_hours\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"training_hours\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"training_hours\\\". Casted the TEXT field to REAL for numeric ordering and excluded blank values before bucketing.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_18af7d0afaf31093/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_18af7d0afaf31093/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..a939503e3804d445971e31586558ae1632a26d42
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_18af7d0afaf31093/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_18af7d0afaf31093",
+  "api_calls": 0,
+  "input_tokens": 14699,
+  "cached_input_tokens": 12032,
+  "output_tokens": 464,
+  "total_tokens": 15163,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 11313.69,
+  "sql_execution_elapsed_ms_total": 32.6,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_18af7d0afaf31093/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1a398fef0ebdc7be/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1a398fef0ebdc7be/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e0f0baa95be25ec2b217f67d686683e1fa067fb6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1a398fef0ebdc7be/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=relevent_experience, condition_col=last_new_job.
+Result preview: [{"relevent_experience": "No relevent experience", "condition_ratio": 3.8514285714285714}, {"relevent_experience": "Has relevent experience", "condition_ratio": 2.176491862567812}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1a398fef0ebdc7be/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1a398fef0ebdc7be/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..fced3ea088da7e025b97b4f53125c9a6fbd038fa
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1a398fef0ebdc7be/generated_sql.sql
@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: contrastive_conditional_view
+-- template_id: tpl_m4_group_ratio_two_conditions
+-- query_record_id: v2q_m9_1a398fef0ebdc7be
+-- problem_id: v2p_m9_9af2f2b93ce71f54
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+    SELECT
+        "relevent_experience",
+        SUM(CASE WHEN "last_new_job" = '1' THEN 1 ELSE 0 END) AS "numerator_count",
+        SUM(CASE WHEN "last_new_job" = '>4' THEN 1 ELSE 0 END) AS "denominator_count"
+    FROM "m9"
+    GROUP BY "relevent_experience"
+)
+SELECT
+    "relevent_experience",
+    CAST("numerator_count" AS FLOAT) / NULLIF("denominator_count", 0) AS "condition_ratio"
+FROM "grouped"
+ORDER BY "condition_ratio" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1a398fef0ebdc7be/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1a398fef0ebdc7be/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..dfecb493e0534cfa88e2a8d72489b2f97230bcd2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1a398fef0ebdc7be/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH \"grouped\" AS (\n    SELECT\n        \"relevent_experience\",\n        SUM(CASE WHEN \"last_new_job\" = '1' THEN 1 ELSE 0 END) AS \"numerator_count\",\n        SUM(CASE WHEN \"last_new_job\" = '>4' THEN 1 ELSE 0 END) AS \"denominator_count\"\n    FROM \"m9\"\n    GROUP BY \"relevent_experience\"\n)\nSELECT\n    \"relevent_experience\",\n    CAST(\"numerator_count\" AS FLOAT) / NULLIF(\"denominator_count\", 0) AS \"condition_ratio\"\nFROM \"grouped\"\nORDER BY \"condition_ratio\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH \\\"grouped\\\" AS (\\n    SELECT\\n        \\\"relevent_experience\\\",\\n        SUM(CASE WHEN \\\"last_new_job\\\" = '1' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n        SUM(CASE WHEN \\\"last_new_job\\\" = '>4' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"relevent_experience\\\"\\n)\\nSELECT\\n    \\\"relevent_experience\\\",\\n    CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\", \"columns\": [\"relevent_experience\", \"condition_ratio\"], \"rows\": [{\"relevent_experience\": \"No relevent experience\", \"condition_ratio\": 3.8514285714285714}, {\"relevent_experience\": \"Has relevent experience\", \"condition_ratio\": 2.176491862567812}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 20.7}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1a398fef0ebdc7be/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1a398fef0ebdc7be/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..354175576b867d153b3d111b503a02b88f14689b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1a398fef0ebdc7be/run_manifest.json
@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:40:24.043263+00:00",
+  "ended_at": "2026-05-19T15:40:38.177473+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_1a398fef0ebdc7be",
+    "problem_id": "v2p_m9_9af2f2b93ce71f54",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "contrastive_conditional_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=relevent_experience, condition_col=last_new_job.",
+    "bindings": {
+      "group_col": "relevent_experience",
+      "condition_col": "last_new_job",
+      "condition_value": "1",
+      "positive_value": "1",
+      "negative_value": ">4",
+      "top_k": 13,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 88.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=1/1",
+      "binding_index=38"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 4,
+    "problem_index_within_template": 3,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_1a398fef0ebdc7be.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_1a398fef0ebdc7be",
+    "api_calls": 0,
+    "input_tokens": 14862,
+    "cached_input_tokens": 13696,
+    "output_tokens": 646,
+    "total_tokens": 15508,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 14106.79,
+    "sql_execution_elapsed_ms_total": 20.7,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1a398fef0ebdc7be/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1a398fef0ebdc7be/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1a398fef0ebdc7be/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..44a267d61b5a2beb9264f458146b6005e51615ad
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1a398fef0ebdc7be/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:40:38.153790+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14106.79, "started_at": "2026-05-19T15:40:24.045382+00:00", "ended_at": "2026-05-19T15:40:38.152208+00:00", "prompt_metrics": {"chars": 10118, "bytes_utf8": 10118, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 742, "bytes_utf8": 742, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14862, "cached_input_tokens": 13696, "output_tokens": 646, "reasoning_output_tokens": 422}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH \\\"grouped\\\" AS (\\n    SELECT\\n        \\\"relevent_experience\\\",\\n        SUM(CASE WHEN \\\"last_new_job\\\" = '1' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n        SUM(CASE WHEN \\\"last_new_job\\\" = '>4' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"relevent_experience\\\"\\n)\\nSELECT\\n    \\\"relevent_experience\\\",\\n    CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Computes, for each \\\"relevent_experience\\\" group, the ratio of rows where \\\"last_new_job\\\" = '1' to rows where \\\"last_new_job\\\" = '>4', using NULLIF to avoid division by zero.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1a398fef0ebdc7be/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1a398fef0ebdc7be/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..6901c712cd93b13ff705169c5fe2415e025f87c1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1a398fef0ebdc7be/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_1a398fef0ebdc7be",
+  "api_calls": 0,
+  "input_tokens": 14862,
+  "cached_input_tokens": 13696,
+  "output_tokens": 646,
+  "total_tokens": 15508,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 14106.79,
+  "sql_execution_elapsed_ms_total": 20.7,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1a398fef0ebdc7be/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b3881da9a53e227/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b3881da9a53e227/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..626c4c8bed7a6eb5937ba223d1633806421b941a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b3881da9a53e227/run_manifest.json
@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:03:26.975097+00:00",
+  "ended_at": "2026-05-19T16:03:34.205767+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_1b3881da9a53e227",
+    "problem_id": "v2p_m9_c7dcd8bd9f161f2e",
+    "dataset_id": "m9",
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=training_hours.",
+    "bindings": {
+      "measure_col": "training_hours",
+      "top_k": 13,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 88.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=1/1",
+      "binding_index=113"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 10,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b3881da9a53e227/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b3881da9a53e227/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..58a738f6312729832d605dadd068149923392d14
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b3881da9a53e227/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:03:30.312561+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3333.47, "started_at": "2026-05-19T16:03:26.978326+00:00", "ended_at": "2026-05-19T16:03:30.311831+00:00", "prompt_metrics": {"chars": 9229, "bytes_utf8": 9229, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fa-51a8-7a73-ba77-6c1339838e95\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:03:34.205680+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2890.83, "started_at": "2026-05-19T16:03:31.314097+00:00", "ended_at": "2026-05-19T16:03:34.204977+00:00", "prompt_metrics": {"chars": 9229, "bytes_utf8": 9229, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fa-628b-7b83-850e-411f36a79eb2\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b47d3df01de1317/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b47d3df01de1317/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b28b8c90bad8402b3f610b1cf9c2bfb28bd40e12
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b47d3df01de1317/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=company_size, measure_col=city_development_index.
+Result preview: [{"company_size": "10000+", "city_development_index": "0.92", "total_measure": 703.8000000000001, "share_within_group": 41.19429507594137}, {"company_size": "5000-9999", "city_development_index": "0.92", "total_measure": 174.8, "share_within_group": 36.56727814352029}, {"company_size": "1000-4999", "city_development_index": "0.92", "total_measure": 385.48, "share_within_group": 33.86554636613937}, {"company_size": "100-500", "city_development_index": "0.92", "total_measure": 694.6, "share_within_group": 32.35035631500286}, {"company_size": "500-999", "city_development_index": "0.92", "total_measure": 228.16, "share_within_group": 31.086798057075118}] Results were truncated.
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b47d3df01de1317/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b47d3df01de1317/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..f20e49c496cc1a706034884e33f61630ac46adb9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b47d3df01de1317/generated_sql.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_1b47d3df01de1317
+-- problem_id: v2p_m9_08e0e4ef91f9ed21
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "company_size",
+  "city_development_index",
+  SUM(CAST("city_development_index" AS REAL)) AS total_measure,
+  SUM(CAST("city_development_index" AS REAL)) * 100.0 / SUM(SUM(CAST("city_development_index" AS REAL))) OVER (PARTITION BY "company_size") AS share_within_group
+FROM "m9"
+WHERE "company_size" IS NOT NULL
+  AND "company_size" <> ''
+  AND "city_development_index" IS NOT NULL
+  AND "city_development_index" <> ''
+GROUP BY "company_size", "city_development_index"
+ORDER BY share_within_group DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b47d3df01de1317/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b47d3df01de1317/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..3e79f9c7c9f9e5ddba0018ff6e16baa3371285bb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b47d3df01de1317/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"company_size\",\n  \"city_development_index\",\n  SUM(CAST(\"city_development_index\" AS REAL)) AS total_measure,\n  SUM(CAST(\"city_development_index\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"city_development_index\" AS REAL))) OVER (PARTITION BY \"company_size\") AS share_within_group\nFROM \"m9\"\nWHERE \"company_size\" IS NOT NULL\n  AND \"company_size\" <> ''\n  AND \"city_development_index\" IS NOT NULL\n  AND \"city_development_index\" <> ''\nGROUP BY \"company_size\", \"city_development_index\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"company_size\\\",\\n  \\\"city_development_index\\\",\\n  SUM(CAST(\\\"city_development_index\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"city_development_index\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"city_development_index\\\" AS REAL))) OVER (PARTITION BY \\\"company_size\\\") AS share_within_group\\nFROM \\\"m9\\\"\\nWHERE \\\"company_size\\\" IS NOT NULL\\n  AND \\\"company_size\\\" <> ''\\n  AND \\\"city_development_index\\\" IS NOT NULL\\n  AND \\\"city_development_index\\\" <> ''\\nGROUP BY \\\"company_size\\\", \\\"city_development_index\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"company_size\", \"city_development_index\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"company_size\": \"10000+\", \"city_development_index\": \"0.92\", \"total_measure\": 703.8000000000001, \"share_within_group\": 41.19429507594137}, {\"company_size\": \"5000-9999\", \"city_development_index\": \"0.92\", \"total_measure\": 174.8, \"share_within_group\": 36.56727814352029}, {\"company_size\": \"1000-4999\", \"city_development_index\": \"0.92\", \"total_measure\": 385.48, \"share_within_group\": 33.86554636613937}, {\"company_size\": \"100-500\", \"city_development_index\": \"0.92\", \"total_measure\": 694.6, \"share_within_group\": 32.35035631500286}, {\"company_size\": \"500-999\", \"city_development_index\": \"0.92\", \"total_measure\": 228.16, \"share_within_group\": 31.086798057075118}, {\"company_size\": \"50-99\", \"city_development_index\": \"0.92\", \"total_measure\": 694.6, \"share_within_group\": 27.165665977291287}, {\"company_size\": \"10/49\", \"city_development_index\": \"0.92\", \"total_measure\": 267.72, \"share_within_group\": 22.36055348466993}, {\"company_size\": \"<10\", \"city_development_index\": \"0.92\", \"total_measure\": 210.68, \"share_within_group\": 19.5326189544653}, {\"company_size\": \"10000+\", \"city_development_index\": \"0.624\", \"total_measure\": 221.52, \"share_within_group\": 12.965842917338069}, {\"company_size\": \"10/49\", \"city_development_index\": \"0.624\", \"total_measure\": 147.888, \"share_within_group\": 12.35192564522959}, {\"company_size\": \"50-99\", \"city_development_index\": \"0.624\", \"total_measure\": 276.432, \"share_within_group\": 10.811199794751778}, {\"company_size\": \"500-999\", \"city_development_index\": \"0.624\", \"total_measure\": 78.0, \"share_within_group\": 10.627499335781291}, {\"company_size\": \"10/49\", \"city_development_index\": \"0.9259999999999999\", \"total_measure\": 123.15799999999999, \"share_within_group\": 10.286422553656724}, {\"company_size\": \"5000-9999\", \"city_development_index\": \"0.624\", \"total_measure\": 47.424, \"share_within_group\": 9.920861548502895}, {\"company_size\": \"1000-4999\", \"city_development_index\": \"0.91\", \"total_measure\": 112.84, \"share_within_group\": 9.91332430205242}, {\"company_size\": \"<10\", \"city_development_index\": \"0.624\", \"total_measure\": 104.832, \"share_within_group\": 9.719211649110054}, {\"company_size\": \"100-500\", \"city_development_index\": \"0.624\", \"total_measure\": 205.296, \"share_within_group\": 9.561472430240176}, {\"company_size\": \"50-99\", \"city_development_index\": \"0.91\", \"total_measure\": 242.97, \"share_within_group\": 9.502507720274206}, {\"company_size\": \"10/49\", \"city_development_index\": \"0.91\", \"total_measure\": 113.75, \"share_within_group\": 9.500646043930987}, {\"company_size\": \"50-99\", \"city_development_index\": \"0.9259999999999999\", \"total_measure\": 241.68599999999998, \"share_within_group\": 9.452290739112614}, {\"company_size\": \"10000+\", \"city_development_index\": \"0.91\", \"total_measure\": 159.25, \"share_within_group\": 9.321101862522966}, {\"company_size\": \"500-999\", \"city_development_index\": \"0.9259999999999999\", \"total_measure\": 67.598, \"share_within_group\": 9.210226924360818}, {\"company_size\": \"5000-9999\", \"city_development_index\": \"0.91\", \"total_measure\": 43.68, \"share_within_group\": 9.137635636778983}, {\"company_size\": \"<10\", \"city_development_index\": \"0.91\", \"total_measure\": 98.28, \"share_within_group\": 9.111760921040677}, {\"company_size\": \"500-999\", \"city_development_index\": \"0.91\", \"total_measure\": 64.61, \"share_within_group\": 8.803111949805503}, {\"company_size\": \"<10\", \"city_development_index\": \"0.9259999999999999\", \"total_measure\": 92.6, \"share_within_group\": 8.585155283764415}, {\"company_size\": \"1000-4999\", \"city_development_index\": \"0.9259999999999999\", \"total_measure\": 95.378, \"share_within_group\": 8.379236487780535}, {\"company_size\": \"100-500\", \"city_development_index\": \"0.9259999999999999\", \"total_measure\": 175.94, \"share_within_group\": 8.194243723094734}, {\"company_size\": \"100-500\", \"city_development_index\": \"0.91\", \"total_measure\": 171.99, \"share_within_group\": 8.010276105121426}, {\"company_size\": \"1000-4999\", \"city_development_index\": \"0.624\", \"total_measure\": 86.112, \"share_within_group\": 7.565191264607744}, {\"company_size\": \"5000-9999\", \"city_development_index\": \"0.9259999999999999\", \"total_measure\": 36.114, \"share_within_group\": 7.554866606836908}, {\"company_size\": \"10000+\", \"city_development_index\": \"0.9259999999999999\", \"total_measure\": 124.08399999999999, \"share_within_group\": 7.262791858771113}, {\"company_size\": \"<10\", \"city_development_index\": \"0.897\", \"total_measure\": 51.129, \"share_within_group\": 4.740285145827113}, {\"company_size\": \"5000-9999\", \"city_development_index\": \"0.9390000000000001\", \"total_measure\": 21.597, \"share_within_group\": 4.517983444311257}, {\"company_size\": \"1000-4999\", \"city_development_index\": \"0.9390000000000001\", \"total_measure\": 50.706, \"share_within_group\": 4.454670525167228}, {\"company_size\": \"<10\", \"city_development_index\": \"0.698\", \"total_measure\": 46.068, \"share_within_group\": 4.271068397542755}, {\"company_size\": \"10000+\", \"city_development_index\": \"0.897\", \"total_measure\": 66.378, \"share_within_group\": 3.8851874375544706}, {\"company_size\": \"1000-4999\", \"city_development_index\": \"0.897\", \"total_measure\": 40.365, \"share_within_group\": 3.5461834052848804}, {\"company_size\": \"10000+\", \"city_development_index\": \"0.9390000000000001\", \"total_measure\": 60.096000000000004, \"share_within_group\": 3.517494113219342}, {\"company_size\": \"<10\", \"city_development_index\": \"0.9390000000000001\", \"total_measure\": 37.56, \"share_within_group\": 3.4822724887493672}, {\"company_size\": \"10/49\", \"city_development_index\": \"0.897\", \"total_measure\": 41.262, \"share_within_group\": 3.446291490678509}, {\"company_size\": \"50-99\", \"city_development_index\": \"0.897\", \"total_measure\": 84.318, \"share_within_group\": 3.297659982541386}, {\"company_size\": \"5000-9999\", \"city_development_index\": \"0.897\", \"total_measure\": 15.249, \"share_within_group\": 3.19001386962552}, {\"company_size\": \"500-999\", \"city_development_index\": \"0.9390000000000001\", \"total_measure\": 22.536, \"share_within_group\": 3.0705298080918872}, {\"company_size\": \"10/49\", \"city_development_index\": \"0.9390000000000001\", \"total_measure\": 35.682, \"share_within_group\": 2.9802378210069933}, {\"company_size\": \"10/49\", \"city_development_index\": \"0.698\", \"total_measure\": 35.598, \"share_within_group\": 2.973221959313013}, {\"company_size\": \"500-999\", \"city_development_index\": \"0.897\", \"total_measure\": 21.528, \"share_within_group\": 2.933189816675636}, {\"company_size\": \"50-99\", \"city_development_index\": \"0.9390000000000001\", \"total_measure\": 70.42500000000001, \"share_within_group\": 2.7543075531971484}, {\"company_size\": \"10000+\", \"city_development_index\": \"0.855\", \"total_measure\": 46.17, \"share_within_group\": 2.7023878994831105}, {\"company_size\": \"5000-9999\", \"city_development_index\": \"0.804\", \"total_measure\": 12.864, \"share_within_group\": 2.691083901820624}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 34.85}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b47d3df01de1317/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b47d3df01de1317/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..4d805f2a808b5f952e530ba032a1d222720c8dc5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b47d3df01de1317/run_manifest.json
@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:38:09.514389+00:00",
+  "ended_at": "2026-05-19T15:38:38.383521+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_1b47d3df01de1317",
+    "problem_id": "v2p_m9_08e0e4ef91f9ed21",
+    "dataset_id": "m9",
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "within_group_proportion",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=company_size, measure_col=city_development_index.",
+    "bindings": {
+      "group_col": "company_size",
+      "measure_col": "city_development_index",
+      "item_col": "city_development_index",
+      "top_k": 16,
+      "top_n": 7,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=8",
+      "sql_variant_index=2/2",
+      "binding_index=31"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_1b47d3df01de1317.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_1b47d3df01de1317",
+    "api_calls": 0,
+    "input_tokens": 14771,
+    "cached_input_tokens": 12032,
+    "output_tokens": 1502,
+    "total_tokens": 16273,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 28826.27,
+    "sql_execution_elapsed_ms_total": 34.85,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b47d3df01de1317/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b47d3df01de1317/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b47d3df01de1317/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..a8038d3c380b8f8ac72f31792f3f7e58379cc9ad
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b47d3df01de1317/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:38:38.345356+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 28826.27, "started_at": "2026-05-19T15:38:09.517356+00:00", "ended_at": "2026-05-19T15:38:38.343663+00:00", "prompt_metrics": {"chars": 9743, "bytes_utf8": 9743, "lines": 266, "estimated_tokens": null}, "response_metrics": {"chars": 843, "bytes_utf8": 843, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14771, "cached_input_tokens": 12032, "output_tokens": 1502, "reasoning_output_tokens": 1277}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"company_size\\\",\\n  \\\"city_development_index\\\",\\n  SUM(CAST(\\\"city_development_index\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"city_development_index\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"city_development_index\\\" AS REAL))) OVER (PARTITION BY \\\"company_size\\\") AS share_within_group\\nFROM \\\"m9\\\"\\nWHERE \\\"company_size\\\" IS NOT NULL\\n  AND \\\"company_size\\\" <> ''\\n  AND \\\"city_development_index\\\" IS NOT NULL\\n  AND \\\"city_development_index\\\" <> ''\\nGROUP BY \\\"company_size\\\", \\\"city_development_index\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the planned Within-Group Share of Total template with group_col=\\\"company_size\\\" and item_col/measure_col=\\\"city_development_index\\\". The measure is cast from TEXT to REAL, and blank values are excluded before aggregation.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b47d3df01de1317/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b47d3df01de1317/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..edf1f8496b135d1e14cb1bf4abda45703fa852a7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b47d3df01de1317/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_1b47d3df01de1317",
+  "api_calls": 0,
+  "input_tokens": 14771,
+  "cached_input_tokens": 12032,
+  "output_tokens": 1502,
+  "total_tokens": 16273,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 28826.27,
+  "sql_execution_elapsed_ms_total": 34.85,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1b47d3df01de1317/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1d72320a89b76321/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1d72320a89b76321/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..afd151c852237f7c76fadda7f24374a21e627f06
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1d72320a89b76321/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=education_level, measure_col=city_development_index.
+Result preview: [{"education_level": "Graduate", "total_measure": 9553.635}, {"education_level": "Masters", "total_measure": 3645.564}, {"education_level": "High School", "total_measure": 1681.956}, {"education_level": "", "total_measure": 370.395}, {"education_level": "Phd", "total_measure": 365.591}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1d72320a89b76321/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1d72320a89b76321/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..d4f2d5474e9b12ecb9e79e2ee96f6073d70e9ea2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1d72320a89b76321/generated_sql.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_conditional_contrast
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m9_1d72320a89b76321
+-- problem_id: v2p_m9_361f1c265c8b57d1
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "education_level", SUM(CAST(NULLIF("city_development_index", '') AS REAL)) AS "total_measure"
+FROM "m9"
+GROUP BY "education_level"
+ORDER BY "total_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1d72320a89b76321/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1d72320a89b76321/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..ce9fca67fb225c9eb37d81d403ea46d2de912ced
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1d72320a89b76321/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"education_level\", SUM(CAST(NULLIF(\"city_development_index\", '') AS REAL)) AS \"total_measure\"\nFROM \"m9\"\nGROUP BY \"education_level\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"education_level\\\", SUM(CAST(NULLIF(\\\"city_development_index\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"education_level\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"education_level\", \"total_measure\"], \"rows\": [{\"education_level\": \"Graduate\", \"total_measure\": 9553.635}, {\"education_level\": \"Masters\", \"total_measure\": 3645.564}, {\"education_level\": \"High School\", \"total_measure\": 1681.956}, {\"education_level\": \"\", \"total_measure\": 370.395}, {\"education_level\": \"Phd\", \"total_measure\": 365.591}, {\"education_level\": \"Primary School\", \"total_measure\": 261.92900000000003}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 13.31}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1d72320a89b76321/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1d72320a89b76321/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..29ee456ca169f66e24d300abf641f75dd46851d2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1d72320a89b76321/run_manifest.json
@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:30:03.987282+00:00",
+  "ended_at": "2026-05-19T15:30:32.478854+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_1d72320a89b76321",
+    "problem_id": "v2p_m9_361f1c265c8b57d1",
+    "dataset_id": "m9",
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "internal_profile_stability",
+    "intended_facet_id": "subgroup_conditional_contrast",
+    "variant_semantic_role": "collapsed_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=education_level, measure_col=city_development_index.",
+    "bindings": {
+      "group_col": "education_level",
+      "measure_col": "city_development_index",
+      "top_k": 19,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=2/2",
+      "binding_index=4"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 1,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_1d72320a89b76321.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_1d72320a89b76321",
+    "api_calls": 0,
+    "input_tokens": 14650,
+    "cached_input_tokens": 12032,
+    "output_tokens": 634,
+    "total_tokens": 15284,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 28473.5,
+    "sql_execution_elapsed_ms_total": 13.31,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1d72320a89b76321/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1d72320a89b76321/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1d72320a89b76321/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..bb5d73a526ff28dba3d0231532b8bd88f9a72893
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1d72320a89b76321/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:30:32.464008+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 28473.5, "started_at": "2026-05-19T15:30:03.989384+00:00", "ended_at": "2026-05-19T15:30:32.462911+00:00", "prompt_metrics": {"chars": 9324, "bytes_utf8": 9324, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 475, "bytes_utf8": 475, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14650, "cached_input_tokens": 12032, "output_tokens": 634, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"education_level\\\", SUM(CAST(NULLIF(\\\"city_development_index\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"education_level\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the planned grouped-sum template with \\\"education_level\\\" as the grouping column and casts text-valued \\\"city_development_index\\\" to REAL for SQLite-compatible summation; blank measure values are treated as NULL and ignored by SUM.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1d72320a89b76321/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1d72320a89b76321/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..c58f3517b29738ba17ef211196320680345d5e10
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1d72320a89b76321/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_1d72320a89b76321",
+  "api_calls": 0,
+  "input_tokens": 14650,
+  "cached_input_tokens": 12032,
+  "output_tokens": 634,
+  "total_tokens": 15284,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 28473.5,
+  "sql_execution_elapsed_ms_total": 13.31,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_1d72320a89b76321/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_22971f0ddd0d2767/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_22971f0ddd0d2767/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..312cdb82061426e463fbfcfedbd46ca35768840f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_22971f0ddd0d2767/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=major_discipline.
+Result preview: [{"major_discipline": "STEM", "row_count": 14492}, {"major_discipline": "", "row_count": 2813}, {"major_discipline": "Humanities", "row_count": 669}, {"major_discipline": "Other", "row_count": 381}, {"major_discipline": "Business Degree", "row_count": 327}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_22971f0ddd0d2767/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_22971f0ddd0d2767/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..7351c85a35c81deb0222b28cc849e8ee86fdd56c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_22971f0ddd0d2767/generated_sql.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: subgroup_size_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_clickbench_group_count
+-- query_record_id: v2q_m9_22971f0ddd0d2767
+-- problem_id: v2p_m9_cb168b40f231cc8f
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "major_discipline", COUNT(*) AS row_count
+FROM "m9"
+GROUP BY "major_discipline"
+ORDER BY row_count DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_22971f0ddd0d2767/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_22971f0ddd0d2767/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..635b75bb63a51cc72e60948f177d38bec159b34d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_22971f0ddd0d2767/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_clickbench_group_count\nSELECT \"major_discipline\", COUNT(*) AS row_count\nFROM \"m9\"\nGROUP BY \"major_discipline\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"major_discipline\\\", COUNT(*) AS row_count\\nFROM \\\"m9\\\"\\nGROUP BY \\\"major_discipline\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"major_discipline\", \"row_count\"], \"rows\": [{\"major_discipline\": \"STEM\", \"row_count\": 14492}, {\"major_discipline\": \"\", \"row_count\": 2813}, {\"major_discipline\": \"Humanities\", \"row_count\": 669}, {\"major_discipline\": \"Other\", \"row_count\": 381}, {\"major_discipline\": \"Business Degree\", \"row_count\": 327}, {\"major_discipline\": \"Arts\", \"row_count\": 253}, {\"major_discipline\": \"No Major\", \"row_count\": 223}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.21}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_22971f0ddd0d2767/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_22971f0ddd0d2767/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..121683d470987b044bcc826afe05bf5a8ce37c93
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_22971f0ddd0d2767/run_manifest.json
@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:33:13.458898+00:00",
+  "ended_at": "2026-05-19T15:33:27.511775+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_22971f0ddd0d2767",
+    "problem_id": "v2p_m9_cb168b40f231cc8f",
+    "dataset_id": "m9",
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "subgroup_size_stability",
+    "intended_facet_id": "subgroup_distribution_shift",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=major_discipline.",
+    "bindings": {
+      "group_col": "major_discipline",
+      "top_k": 12,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 88.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=1/1",
+      "binding_index=17"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 2,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_22971f0ddd0d2767.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_22971f0ddd0d2767",
+    "api_calls": 0,
+    "input_tokens": 14621,
+    "cached_input_tokens": 12032,
+    "output_tokens": 338,
+    "total_tokens": 14959,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 14039.73,
+    "sql_execution_elapsed_ms_total": 7.21,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_22971f0ddd0d2767/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_22971f0ddd0d2767/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_22971f0ddd0d2767/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..4877168f338f38abfa2df3a6936a04aa8cfa74f7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_22971f0ddd0d2767/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:33:27.503026+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14039.73, "started_at": "2026-05-19T15:33:13.462433+00:00", "ended_at": "2026-05-19T15:33:27.502199+00:00", "prompt_metrics": {"chars": 9206, "bytes_utf8": 9206, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 291, "bytes_utf8": 291, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14621, "cached_input_tokens": 12032, "output_tokens": 338, "reasoning_output_tokens": 264}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"major_discipline\\\", COUNT(*) AS row_count\\nFROM \\\"m9\\\"\\nGROUP BY \\\"major_discipline\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Grouped count distribution for \\\"major_discipline\\\" using the provided Grouped Count by Category template.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_22971f0ddd0d2767/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_22971f0ddd0d2767/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..3ea1c80a743f5f444f96b3c0511e7e2d8ac2e9e8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_22971f0ddd0d2767/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_22971f0ddd0d2767",
+  "api_calls": 0,
+  "input_tokens": 14621,
+  "cached_input_tokens": 12032,
+  "output_tokens": 338,
+  "total_tokens": 14959,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 14039.73,
+  "sql_execution_elapsed_ms_total": 7.21,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_22971f0ddd0d2767/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_26fd625d21bebadb/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_26fd625d21bebadb/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cc09346812adbfe1af05a1a89ffdb35fd249ef05
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_26fd625d21bebadb/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=city_development_index, condition_col=major_discipline.
+Result preview: [{"city_development_index": "0.647", "condition_ratio": 24.0}, {"city_development_index": "0.725", "condition_ratio": 16.0}, {"city_development_index": "0.84", "condition_ratio": 12.5}, {"city_development_index": "0.789", "condition_ratio": 11.75}, {"city_development_index": "0.727", "condition_ratio": 11.5}] Results were truncated.
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_26fd625d21bebadb/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_26fd625d21bebadb/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..2cc7a4ab046631e738970119810b22dcc13b7f9f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_26fd625d21bebadb/generated_sql.sql
@@ -0,0 +1,24 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: contrastive_conditional_view
+-- template_id: tpl_m4_group_ratio_two_conditions
+-- query_record_id: v2q_m9_26fd625d21bebadb
+-- problem_id: v2p_m9_b59128efdeec0bc8
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "city_development_index",
+           SUM(CASE WHEN "major_discipline" = 'STEM' THEN 1 ELSE 0 END) AS numerator_count,
+           SUM(CASE WHEN "major_discipline" = '' THEN 1 ELSE 0 END) AS denominator_count
+    FROM "m9"
+    GROUP BY "city_development_index"
+)
+SELECT "city_development_index",
+       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio
+FROM grouped
+ORDER BY condition_ratio DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_26fd625d21bebadb/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_26fd625d21bebadb/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..4c88bfdfaeed420c6218caf6901c25d17fe86b27
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_26fd625d21bebadb/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n    SELECT \"city_development_index\",\n           SUM(CASE WHEN \"major_discipline\" = 'STEM' THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN \"major_discipline\" = '' THEN 1 ELSE 0 END) AS denominator_count\n    FROM \"m9\"\n    GROUP BY \"city_development_index\"\n)\nSELECT \"city_development_index\",\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT \\\"city_development_index\\\",\\n           SUM(CASE WHEN \\\"major_discipline\\\" = 'STEM' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"major_discipline\\\" = '' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"city_development_index\\\"\\n)\\nSELECT \\\"city_development_index\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"city_development_index\", \"condition_ratio\"], \"rows\": [{\"city_development_index\": \"0.647\", \"condition_ratio\": 24.0}, {\"city_development_index\": \"0.725\", \"condition_ratio\": 16.0}, {\"city_development_index\": \"0.84\", \"condition_ratio\": 12.5}, {\"city_development_index\": \"0.789\", \"condition_ratio\": 11.75}, {\"city_development_index\": \"0.727\", \"condition_ratio\": 11.5}, {\"city_development_index\": \"0.764\", \"condition_ratio\": 11.0}, {\"city_development_index\": \"0.897\", \"condition_ratio\": 10.956521739130435}, {\"city_development_index\": \"0.884\", \"condition_ratio\": 10.318181818181818}, {\"city_development_index\": \"0.516\", \"condition_ratio\": 10.0}, {\"city_development_index\": \"0.898\", \"condition_ratio\": 10.0}, {\"city_development_index\": \"0.762\", \"condition_ratio\": 9.909090909090908}, {\"city_development_index\": \"0.74\", \"condition_ratio\": 9.5}, {\"city_development_index\": \"0.856\", \"condition_ratio\": 8.666666666666666}, {\"city_development_index\": \"0.769\", \"condition_ratio\": 8.5}, {\"city_development_index\": \"0.7659999999999999\", \"condition_ratio\": 8.4}, {\"city_development_index\": \"0.682\", \"condition_ratio\": 8.083333333333334}, {\"city_development_index\": \"0.745\", \"condition_ratio\": 8.0}, {\"city_development_index\": \"0.55\", \"condition_ratio\": 7.777777777777778}, {\"city_development_index\": \"0.92\", \"condition_ratio\": 7.6232741617357}, {\"city_development_index\": \"0.9229999999999999\", \"condition_ratio\": 7.4}, {\"city_development_index\": \"0.624\", \"condition_ratio\": 7.2834394904458595}, {\"city_development_index\": \"0.738\", \"condition_ratio\": 7.111111111111111}, {\"city_development_index\": \"0.555\", \"condition_ratio\": 7.0}, {\"city_development_index\": \"0.866\", \"condition_ratio\": 6.769230769230769}, {\"city_development_index\": \"0.44799999999999995\", \"condition_ratio\": 6.5}, {\"city_development_index\": \"0.9490000000000001\", \"condition_ratio\": 6.1}, {\"city_development_index\": \"0.73\", \"condition_ratio\": 6.0}, {\"city_development_index\": \"0.7390000000000001\", \"condition_ratio\": 6.0}, {\"city_development_index\": \"0.7879999999999999\", \"condition_ratio\": 6.0}, {\"city_development_index\": \"0.6659999999999999\", \"condition_ratio\": 5.733333333333333}, {\"city_development_index\": \"0.7759999999999999\", \"condition_ratio\": 5.636363636363637}, {\"city_development_index\": \"0.843\", \"condition_ratio\": 5.571428571428571}, {\"city_development_index\": \"0.804\", \"condition_ratio\": 5.348837209302325}, {\"city_development_index\": \"0.925\", \"condition_ratio\": 5.32}, {\"city_development_index\": \"0.743\", \"condition_ratio\": 5.190476190476191}, {\"city_development_index\": \"0.91\", \"condition_ratio\": 5.122727272727273}, {\"city_development_index\": \"0.802\", \"condition_ratio\": 5.037037037037037}, {\"city_development_index\": \"0.493\", \"condition_ratio\": 5.0}, {\"city_development_index\": \"0.5579999999999999\", \"condition_ratio\": 4.833333333333333}, {\"city_development_index\": \"0.9129999999999999\", \"condition_ratio\": 4.78125}, {\"city_development_index\": \"0.915\", \"condition_ratio\": 4.733333333333333}, {\"city_development_index\": \"0.763\", \"condition_ratio\": 4.4}, {\"city_development_index\": \"0.895\", \"condition_ratio\": 4.266666666666667}, {\"city_development_index\": \"0.579\", \"condition_ratio\": 4.260869565217392}, {\"city_development_index\": \"0.691\", \"condition_ratio\": 4.125}, {\"city_development_index\": \"0.512\", \"condition_ratio\": 4.0}, {\"city_development_index\": \"0.78\", \"condition_ratio\": 4.0}, {\"city_development_index\": \"0.848\", \"condition_ratio\": 4.0}, {\"city_development_index\": \"0.767\", \"condition_ratio\": 3.9583333333333335}, {\"city_development_index\": \"0.855\", \"condition_ratio\": 3.819277108433735}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 25.22}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_26fd625d21bebadb/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_26fd625d21bebadb/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..ee5f16b321d77789350e3f726d76778dc11e5729
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_26fd625d21bebadb/run_manifest.json
@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:39:55.678089+00:00",
+  "ended_at": "2026-05-19T15:40:11.629356+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_26fd625d21bebadb",
+    "problem_id": "v2p_m9_b59128efdeec0bc8",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "contrastive_conditional_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=city_development_index, condition_col=major_discipline.",
+    "bindings": {
+      "group_col": "city_development_index",
+      "condition_col": "major_discipline",
+      "condition_value": "STEM",
+      "positive_value": "STEM",
+      "negative_value": "",
+      "top_k": 11,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 25169.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=1",
+      "sql_variant_index=1/1",
+      "binding_index=36"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 4,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_26fd625d21bebadb.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_26fd625d21bebadb",
+    "api_calls": 0,
+    "input_tokens": 14862,
+    "cached_input_tokens": 13696,
+    "output_tokens": 670,
+    "total_tokens": 15532,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 15918.79,
+    "sql_execution_elapsed_ms_total": 25.22,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_26fd625d21bebadb/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_26fd625d21bebadb/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_26fd625d21bebadb/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..0ee2fb5c0c317b806c654793eca711d8d68ae309
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_26fd625d21bebadb/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:40:11.600817+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15918.79, "started_at": "2026-05-19T15:39:55.680483+00:00", "ended_at": "2026-05-19T15:40:11.599304+00:00", "prompt_metrics": {"chars": 10140, "bytes_utf8": 10140, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 716, "bytes_utf8": 716, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14862, "cached_input_tokens": 13696, "output_tokens": 670, "reasoning_output_tokens": 481}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT \\\"city_development_index\\\",\\n           SUM(CASE WHEN \\\"major_discipline\\\" = 'STEM' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"major_discipline\\\" = '' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"city_development_index\\\"\\n)\\nSELECT \\\"city_development_index\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Computes, for each city development index, the ratio of rows with major_discipline = 'STEM' to rows with blank major_discipline, using NULLIF to avoid division by zero.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_26fd625d21bebadb/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_26fd625d21bebadb/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..a2d95257ec77e1d7fdf3e32aa5939aefc70f4b7e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_26fd625d21bebadb/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_26fd625d21bebadb",
+  "api_calls": 0,
+  "input_tokens": 14862,
+  "cached_input_tokens": 13696,
+  "output_tokens": 670,
+  "total_tokens": 15532,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 15918.79,
+  "sql_execution_elapsed_ms_total": 25.22,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_26fd625d21bebadb/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2716dec92da40a34/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2716dec92da40a34/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..07b3a291db10fb49f5d515d3d1525af38191ff39
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2716dec92da40a34/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=education_level, measure_col=city_development_index.
+Result preview: [{"education_level": "Phd", "percentile_measure": 0.9390000000000001}, {"education_level": "Graduate", "percentile_measure": 0.9259999999999999}, {"education_level": "High School", "percentile_measure": 0.9259999999999999}, {"education_level": "Masters", "percentile_measure": 0.9259999999999999}, {"education_level": "Primary School", "percentile_measure": 0.9259999999999999}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2716dec92da40a34/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2716dec92da40a34/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..f3747746396c34d477407fd0e7734d301ca71a83
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2716dec92da40a34/generated_sql.sql
@@ -0,0 +1,66 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_m9_2716dec92da40a34
+-- problem_id: v2p_m9_6c068b3bd3ac8e1c
+-- realization_mode: agent
+-- source_kind: agent
+WITH "base" AS (
+  SELECT
+    "education_level" AS "group_col",
+    CAST("city_development_index" AS REAL) AS "measure_col"
+  FROM "m9"
+  WHERE "education_level" IS NOT NULL
+    AND "education_level" <> ''
+    AND "city_development_index" IS NOT NULL
+    AND "city_development_index" <> ''
+),
+"ranked" AS (
+  SELECT
+    "group_col",
+    "measure_col",
+    ROW_NUMBER() OVER (PARTITION BY "group_col" ORDER BY "measure_col") AS "rn",
+    COUNT(*) OVER (PARTITION BY "group_col") AS "cnt"
+  FROM "base"
+),
+"bounds" AS (
+  SELECT
+    "group_col",
+    "cnt",
+    (0.95 * ("cnt" - 1)) + 1 AS "pos",
+    CAST((0.95 * ("cnt" - 1)) + 1 AS INTEGER) AS "lo_rn",
+    CASE
+      WHEN ((0.95 * ("cnt" - 1)) + 1) = CAST((0.95 * ("cnt" - 1)) + 1 AS INTEGER)
+        THEN CAST((0.95 * ("cnt" - 1)) + 1 AS INTEGER)
+      ELSE CAST((0.95 * ("cnt" - 1)) + 1 AS INTEGER) + 1
+    END AS "hi_rn"
+  FROM "ranked"
+  WHERE "cnt" >= 5
+  GROUP BY "group_col", "cnt"
+),
+"picked" AS (
+  SELECT
+    b."group_col",
+    b."pos",
+    MAX(CASE WHEN r."rn" = b."lo_rn" THEN r."measure_col" END) AS "lo_val",
+    MAX(CASE WHEN r."rn" = b."hi_rn" THEN r."measure_col" END) AS "hi_val"
+  FROM "bounds" AS b
+  JOIN "ranked" AS r
+    ON r."group_col" = b."group_col"
+  GROUP BY b."group_col", b."pos"
+)
+SELECT
+  "group_col" AS "education_level",
+  CASE
+    WHEN "lo_val" IS NULL THEN NULL
+    WHEN "hi_val" IS NULL OR "lo_val" = "hi_val" THEN "lo_val"
+    ELSE "lo_val" + (("pos" - CAST("pos" AS INTEGER)) * ("hi_val" - "lo_val"))
+  END AS "percentile_measure"
+FROM "picked"
+ORDER BY "percentile_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2716dec92da40a34/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2716dec92da40a34/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..3d4aece8a5a0951a596ed368e463cb88ce52cfe2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2716dec92da40a34/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n  SELECT\n    \"education_level\" AS \"group_col\",\n    CAST(\"city_development_index\" AS REAL) AS \"measure_col\"\n  FROM \"m9\"\n  WHERE \"education_level\" IS NOT NULL\n    AND \"education_level\" <> ''\n    AND \"city_development_index\" IS NOT NULL\n    AND \"city_development_index\" <> ''\n),\n\"ranked\" AS (\n  SELECT\n    \"group_col\",\n    \"measure_col\",\n    ROW_NUMBER() OVER (PARTITION BY \"group_col\" ORDER BY \"measure_col\") AS \"rn\",\n    COUNT(*) OVER (PARTITION BY \"group_col\") AS \"cnt\"\n  FROM \"base\"\n),\n\"bounds\" AS (\n  SELECT\n    \"group_col\",\n    \"cnt\",\n    (0.95 * (\"cnt\" - 1)) + 1 AS \"pos\",\n    CAST((0.95 * (\"cnt\" - 1)) + 1 AS INTEGER) AS \"lo_rn\",\n    CASE\n      WHEN ((0.95 * (\"cnt\" - 1)) + 1) = CAST((0.95 * (\"cnt\" - 1)) + 1 AS INTEGER)\n        THEN CAST((0.95 * (\"cnt\" - 1)) + 1 AS INTEGER)\n      ELSE CAST((0.95 * (\"cnt\" - 1)) + 1 AS INTEGER) + 1\n    END AS \"hi_rn\"\n  FROM \"ranked\"\n  WHERE \"cnt\" >= 5\n  GROUP BY \"group_col\", \"cnt\"\n),\n\"picked\" AS (\n  SELECT\n    b.\"group_col\",\n    b.\"pos\",\n    MAX(CASE WHEN r.\"rn\" = b.\"lo_rn\" THEN r.\"measure_col\" END) AS \"lo_val\",\n    MAX(CASE WHEN r.\"rn\" = b.\"hi_rn\" THEN r.\"measure_col\" END) AS \"hi_val\"\n  FROM \"bounds\" AS b\n  JOIN \"ranked\" AS r\n    ON r.\"group_col\" = b.\"group_col\"\n  GROUP BY b.\"group_col\", b.\"pos\"\n)\nSELECT\n  \"group_col\" AS \"education_level\",\n  CASE\n    WHEN \"lo_val\" IS NULL THEN NULL\n    WHEN \"hi_val\" IS NULL OR \"lo_val\" = \"hi_val\" THEN \"lo_val\"\n    ELSE \"lo_val\" + ((\"pos\" - CAST(\"pos\" AS INTEGER)) * (\"hi_val\" - \"lo_val\"))\n  END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    \\\"education_level\\\" AS \\\"group_col\\\",\\n    CAST(\\\"city_development_index\\\" AS REAL) AS \\\"measure_col\\\"\\n  FROM \\\"m9\\\"\\n  WHERE \\\"education_level\\\" IS NOT NULL\\n    AND \\\"education_level\\\" <> ''\\n    AND \\\"city_development_index\\\" IS NOT NULL\\n    AND \\\"city_development_index\\\" <> ''\\n),\\n\\\"ranked\\\" AS (\\n  SELECT\\n    \\\"group_col\\\",\\n    \\\"measure_col\\\",\\n    ROW_NUMBER() OVER (PARTITION BY \\\"group_col\\\" ORDER BY \\\"measure_col\\\") AS \\\"rn\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"group_col\\\") AS \\\"cnt\\\"\\n  FROM \\\"base\\\"\\n),\\n\\\"bounds\\\" AS (\\n  SELECT\\n    \\\"group_col\\\",\\n    \\\"cnt\\\",\\n    (0.95 * (\\\"cnt\\\" - 1)) + 1 AS \\\"pos\\\",\\n    CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER) AS \\\"lo_rn\\\",\\n    CASE\\n      WHEN ((0.95 * (\\\"cnt\\\" - 1)) + 1) = CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER)\\n        THEN CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER)\\n      ELSE CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER) + 1\\n    END AS \\\"hi_rn\\\"\\n  FROM \\\"ranked\\\"\\n  WHERE \\\"cnt\\\" >= 5\\n  GROUP BY \\\"group_col\\\", \\\"cnt\\\"\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    b.\\\"group_col\\\",\\n    b.\\\"pos\\\",\\n    MAX(CASE WHEN r.\\\"rn\\\" = b.\\\"lo_rn\\\" THEN r.\\\"measure_col\\\" END) AS \\\"lo_val\\\",\\n    MAX(CASE WHEN r.\\\"rn\\\" = b.\\\"hi_rn\\\" THEN r.\\\"measure_col\\\" END) AS \\\"hi_val\\\"\\n  FROM \\\"bounds\\\" AS b\\n  JOIN \\\"ranked\\\" AS r\\n    ON r.\\\"group_col\\\" = b.\\\"group_col\\\"\\n  GROUP BY b.\\\"group_col\\\", b.\\\"pos\\\"\\n)\\nSELECT\\n  \\\"group_col\\\" AS \\\"education_level\\\",\\n  CASE\\n    WHEN \\\"lo_val\\\" IS NULL THEN NULL\\n    WHEN \\\"hi_val\\\" IS NULL OR \\\"lo_val\\\" = \\\"hi_val\\\" THEN \\\"lo_val\\\"\\n    ELSE \\\"lo_val\\\" + ((\\\"pos\\\" - CAST(\\\"pos\\\" AS INTEGER)) * (\\\"hi_val\\\" - \\\"lo_val\\\"))\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"education_level\", \"percentile_measure\"], \"rows\": [{\"education_level\": \"Phd\", \"percentile_measure\": 0.9390000000000001}, {\"education_level\": \"Graduate\", \"percentile_measure\": 0.9259999999999999}, {\"education_level\": \"High School\", \"percentile_measure\": 0.9259999999999999}, {\"education_level\": \"Masters\", \"percentile_measure\": 0.9259999999999999}, {\"education_level\": \"Primary School\", \"percentile_measure\": 0.9259999999999999}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 78.15}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2716dec92da40a34/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2716dec92da40a34/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..b172814263a9fdbbce0ce1773ca19d99184559fc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2716dec92da40a34/run_manifest.json
@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:54:14.445902+00:00",
+  "ended_at": "2026-05-19T15:54:57.985014+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_2716dec92da40a34",
+    "problem_id": "v2p_m9_6c068b3bd3ac8e1c",
+    "dataset_id": "m9",
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_concentration_consistency",
+    "intended_facet_id": "rare_target_concentration",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=education_level, measure_col=city_development_index.",
+    "bindings": {
+      "group_col": "education_level",
+      "measure_col": "city_development_index",
+      "top_k": 13,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "notes": [
+      "default_facets=rare_target_concentration",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=1/2",
+      "binding_index=88"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2716dec92da40a34.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_2716dec92da40a34",
+    "api_calls": 0,
+    "input_tokens": 14688,
+    "cached_input_tokens": 12032,
+    "output_tokens": 2498,
+    "total_tokens": 17186,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 42450.48,
+    "sql_execution_elapsed_ms_total": 78.15,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2716dec92da40a34/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2716dec92da40a34/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2716dec92da40a34/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..242bd29479bc923c15e66754c16b63923202ced5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2716dec92da40a34/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T15:54:17.653197+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3204.13, "started_at": "2026-05-19T15:54:14.448088+00:00", "ended_at": "2026-05-19T15:54:17.652248+00:00", "prompt_metrics": {"chars": 9502, "bytes_utf8": 9502, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f1-e355-7140-aa50-e533207b104d\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T15:54:57.902172+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 39246.35, "started_at": "2026-05-19T15:54:18.654847+00:00", "ended_at": "2026-05-19T15:54:57.901252+00:00", "prompt_metrics": {"chars": 9502, "bytes_utf8": 9502, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 2137, "bytes_utf8": 2137, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14688, "cached_input_tokens": 12032, "output_tokens": 2498, "reasoning_output_tokens": 1807}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    \\\"education_level\\\" AS \\\"group_col\\\",\\n    CAST(\\\"city_development_index\\\" AS REAL) AS \\\"measure_col\\\"\\n  FROM \\\"m9\\\"\\n  WHERE \\\"education_level\\\" IS NOT NULL\\n    AND \\\"education_level\\\" <> ''\\n    AND \\\"city_development_index\\\" IS NOT NULL\\n    AND \\\"city_development_index\\\" <> ''\\n),\\n\\\"ranked\\\" AS (\\n  SELECT\\n    \\\"group_col\\\",\\n    \\\"measure_col\\\",\\n    ROW_NUMBER() OVER (PARTITION BY \\\"group_col\\\" ORDER BY \\\"measure_col\\\") AS \\\"rn\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"group_col\\\") AS \\\"cnt\\\"\\n  FROM \\\"base\\\"\\n),\\n\\\"bounds\\\" AS (\\n  SELECT\\n    \\\"group_col\\\",\\n    \\\"cnt\\\",\\n    (0.95 * (\\\"cnt\\\" - 1)) + 1 AS \\\"pos\\\",\\n    CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER) AS \\\"lo_rn\\\",\\n    CASE\\n      WHEN ((0.95 * (\\\"cnt\\\" - 1)) + 1) = CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER)\\n        THEN CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER)\\n      ELSE CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER) + 1\\n   "}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2716dec92da40a34/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2716dec92da40a34/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..19a5d44333f30551ab6278c839ba137ddb3f2214
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2716dec92da40a34/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_2716dec92da40a34",
+  "api_calls": 0,
+  "input_tokens": 14688,
+  "cached_input_tokens": 12032,
+  "output_tokens": 2498,
+  "total_tokens": 17186,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 2,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 42450.48,
+  "sql_execution_elapsed_ms_total": 78.15,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2716dec92da40a34/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2bd920d79f7b2d74/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2bd920d79f7b2d74/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..de1529a0a474063a82e35edab6e3aa87ff351c38
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2bd920d79f7b2d74/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=experience.
+Result preview: [{"experience": "", "support": 65}, {"experience": "20", "support": 148}, {"experience": "18", "support": 280}, {"experience": "19", "support": 304}, {"experience": "17", "support": 342}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2bd920d79f7b2d74/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2bd920d79f7b2d74/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..302fdef6bd53d7a605e47d34fae5d876ce15ce0e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2bd920d79f7b2d74/generated_sql.sql
@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_tail_low_support_group_count_v2
+-- query_record_id: v2q_m9_2bd920d79f7b2d74
+-- problem_id: v2p_m9_67a70875548c6d23
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+    "experience",
+    COUNT(*) AS support
+FROM "m9"
+GROUP BY "experience"
+ORDER BY support ASC, "experience"
+LIMIT 11;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2bd920d79f7b2d74/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2bd920d79f7b2d74/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..83daead192dd649d84b22bce5a553df0ca6b0fbf
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2bd920d79f7b2d74/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n    \"experience\",\n    COUNT(*) AS support\nFROM \"m9\"\nGROUP BY \"experience\"\nORDER BY support ASC, \"experience\"\nLIMIT 11;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"experience\\\",\\n    COUNT(*) AS support\\nFROM \\\"m9\\\"\\nGROUP BY \\\"experience\\\"\\nORDER BY support ASC, \\\"experience\\\"\\nLIMIT 11;\", \"columns\": [\"experience\", \"support\"], \"rows\": [{\"experience\": \"\", \"support\": 65}, {\"experience\": \"20\", \"support\": 148}, {\"experience\": \"18\", \"support\": 280}, {\"experience\": \"19\", \"support\": 304}, {\"experience\": \"17\", \"support\": 342}, {\"experience\": \"13\", \"support\": 399}, {\"experience\": \"12\", \"support\": 494}, {\"experience\": \"16\", \"support\": 508}, {\"experience\": \"<1\", \"support\": 522}, {\"experience\": \"1\", \"support\": 549}, {\"experience\": \"14\", \"support\": 586}], \"row_count_returned\": 11, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.06}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2bd920d79f7b2d74/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2bd920d79f7b2d74/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..79098ddeb6737762fa802a26a9f24c0d62efb1a3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2bd920d79f7b2d74/run_manifest.json
@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:05:56.206096+00:00",
+  "ended_at": "2026-05-19T16:06:09.238707+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_2bd920d79f7b2d74",
+    "problem_id": "v2p_m9_67a70875548c6d23",
+    "dataset_id": "m9",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=experience.",
+    "bindings": {
+      "group_col": "experience",
+      "top_k": 11,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 25169.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/2",
+      "binding_index=126"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2bd920d79f7b2d74.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_2bd920d79f7b2d74",
+    "api_calls": 0,
+    "input_tokens": 14656,
+    "cached_input_tokens": 12032,
+    "output_tokens": 266,
+    "total_tokens": 14922,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 12015.76,
+    "sql_execution_elapsed_ms_total": 9.06,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2bd920d79f7b2d74/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2bd920d79f7b2d74/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2bd920d79f7b2d74/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..4cc93223a2f8e8f777dbc27163c77bc6823866eb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2bd920d79f7b2d74/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:05:59.427037+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3217.58, "started_at": "2026-05-19T16:05:56.208368+00:00", "ended_at": "2026-05-19T16:05:59.425970+00:00", "prompt_metrics": {"chars": 9278, "bytes_utf8": 9278, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-9874-78b2-8359-0d89fac7bbc4\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:06:09.228205+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8798.18, "started_at": "2026-05-19T16:06:00.429207+00:00", "ended_at": "2026-05-19T16:06:09.227438+00:00", "prompt_metrics": {"chars": 9278, "bytes_utf8": 9278, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 316, "bytes_utf8": 316, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14656, "cached_input_tokens": 12032, "output_tokens": 266, "reasoning_output_tokens": 179}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"experience\\\",\\n    COUNT(*) AS support\\nFROM \\\"m9\\\"\\nGROUP BY \\\"experience\\\"\\nORDER BY support ASC, \\\"experience\\\"\\nLIMIT 11;\",\"notes\":\"Uses the provided Low-Support Group Count template with group_col bound to \\\"experience\\\" and top_k=11.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2bd920d79f7b2d74/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2bd920d79f7b2d74/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..b44ed455c91f6f693d7b91fd71ac50f40dcf49b7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2bd920d79f7b2d74/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_2bd920d79f7b2d74",
+  "api_calls": 0,
+  "input_tokens": 14656,
+  "cached_input_tokens": 12032,
+  "output_tokens": 266,
+  "total_tokens": 14922,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 2,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 12015.76,
+  "sql_execution_elapsed_ms_total": 9.06,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2bd920d79f7b2d74/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2c8fa5178b92e059/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2c8fa5178b92e059/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6e3bbc89d6feca309c010147f36cebd498161d95
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2c8fa5178b92e059/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=last_new_job, measure_col=enrollee_id.
+Result preview: [{"last_new_job": "", "training_hours": "46", "total_measure": 179268.0, "share_within_group": 2.8463732034321354}, {"last_new_job": "", "training_hours": "28", "total_measure": 148214.0, "share_within_group": 2.353305430826977}, {"last_new_job": "", "training_hours": "42", "total_measure": 142341.0, "share_within_group": 2.2600553816059397}, {"last_new_job": "", "training_hours": "43", "total_measure": 137044.0, "share_within_group": 2.1759509186868464}, {"last_new_job": "", "training_hours": "18", "total_measure": 134439.0, "share_within_group": 2.1345893695261444}] Results were truncated.
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2c8fa5178b92e059/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2c8fa5178b92e059/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..850324fe5ce8f54f574d7dad548a6675a19d4966
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2c8fa5178b92e059/generated_sql.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_2c8fa5178b92e059
+-- problem_id: v2p_m9_91e84091e1d8de4a
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "last_new_job",
+  "training_hours",
+  SUM(CAST("enrollee_id" AS REAL)) AS total_measure,
+  SUM(CAST("enrollee_id" AS REAL)) * 100.0 / SUM(SUM(CAST("enrollee_id" AS REAL))) OVER (PARTITION BY "last_new_job") AS share_within_group
+FROM "m9"
+GROUP BY "last_new_job", "training_hours"
+ORDER BY share_within_group DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2c8fa5178b92e059/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2c8fa5178b92e059/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..49cab2cc3cf3894a18433e846c302de0c4a97c02
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2c8fa5178b92e059/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"last_new_job\",\n  \"training_hours\",\n  SUM(CAST(\"enrollee_id\" AS REAL)) AS total_measure,\n  SUM(CAST(\"enrollee_id\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"enrollee_id\" AS REAL))) OVER (PARTITION BY \"last_new_job\") AS share_within_group\nFROM \"m9\"\nGROUP BY \"last_new_job\", \"training_hours\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"last_new_job\\\",\\n  \\\"training_hours\\\",\\n  SUM(CAST(\\\"enrollee_id\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"enrollee_id\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"enrollee_id\\\" AS REAL))) OVER (PARTITION BY \\\"last_new_job\\\") AS share_within_group\\nFROM \\\"m9\\\"\\nGROUP BY \\\"last_new_job\\\", \\\"training_hours\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"last_new_job\", \"training_hours\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"last_new_job\": \"\", \"training_hours\": \"46\", \"total_measure\": 179268.0, \"share_within_group\": 2.8463732034321354}, {\"last_new_job\": \"\", \"training_hours\": \"28\", \"total_measure\": 148214.0, \"share_within_group\": 2.353305430826977}, {\"last_new_job\": \"\", \"training_hours\": \"42\", \"total_measure\": 142341.0, \"share_within_group\": 2.2600553816059397}, {\"last_new_job\": \"\", \"training_hours\": \"43\", \"total_measure\": 137044.0, \"share_within_group\": 2.1759509186868464}, {\"last_new_job\": \"\", \"training_hours\": \"18\", \"total_measure\": 134439.0, \"share_within_group\": 2.1345893695261444}, {\"last_new_job\": \"3\", \"training_hours\": \"28\", \"total_measure\": 353092.0, \"share_within_group\": 2.0763516070331756}, {\"last_new_job\": \"4\", \"training_hours\": \"20\", \"total_measure\": 356647.0, \"share_within_group\": 2.0545253079149575}, {\"last_new_job\": \"3\", \"training_hours\": \"34\", \"total_measure\": 349343.0, \"share_within_group\": 2.054305675166219}, {\"last_new_job\": \"\", \"training_hours\": \"12\", \"total_measure\": 128582.0, \"share_within_group\": 2.04159336436905}, {\"last_new_job\": \"4\", \"training_hours\": \"28\", \"total_measure\": 351719.0, \"share_within_group\": 2.0261367312063214}, {\"last_new_job\": \"4\", \"training_hours\": \"4\", \"total_measure\": 340958.0, \"share_within_group\": 1.9641461723667046}, {\"last_new_job\": \"3\", \"training_hours\": \"40\", \"total_measure\": 332913.0, \"share_within_group\": 1.957689334655658}, {\"last_new_job\": \">4\", \"training_hours\": \"24\", \"total_measure\": 1049957.0, \"share_within_group\": 1.954924629821258}, {\"last_new_job\": \"\", \"training_hours\": \"2\", \"total_measure\": 121668.0, \"share_within_group\": 1.931814573237728}, {\"last_new_job\": \"\", \"training_hours\": \"17\", \"total_measure\": 121237.0, \"share_within_group\": 1.9249712612652665}, {\"last_new_job\": \"\", \"training_hours\": \"8\", \"total_measure\": 118474.0, \"share_within_group\": 1.8811010269731285}, {\"last_new_job\": \"4\", \"training_hours\": \"15\", \"total_measure\": 322136.0, \"share_within_group\": 1.855718860919881}, {\"last_new_job\": \"\", \"training_hours\": \"7\", \"total_measure\": 115732.0, \"share_within_group\": 1.8375642255149156}, {\"last_new_job\": \"never\", \"training_hours\": \"17\", \"total_measure\": 743650.0, \"share_within_group\": 1.8062977451992412}, {\"last_new_job\": \"3\", \"training_hours\": \"18\", \"total_measure\": 306290.0, \"share_within_group\": 1.801133227935471}, {\"last_new_job\": \"3\", \"training_hours\": \"6\", \"total_measure\": 304269.0, \"share_within_group\": 1.7892487711995098}, {\"last_new_job\": \"never\", \"training_hours\": \"28\", \"total_measure\": 735126.0, \"share_within_group\": 1.7855932713471894}, {\"last_new_job\": \"\", \"training_hours\": \"21\", \"total_measure\": 112066.0, \"share_within_group\": 1.7793563793640006}, {\"last_new_job\": \"\", \"training_hours\": \"23\", \"total_measure\": 110892.0, \"share_within_group\": 1.7607158961721912}, {\"last_new_job\": \"3\", \"training_hours\": \"10\", \"total_measure\": 296639.0, \"share_within_group\": 1.7443806836708682}, {\"last_new_job\": \"\", \"training_hours\": \"24\", \"total_measure\": 108707.0, \"share_within_group\": 1.72602300368999}, {\"last_new_job\": \"\", \"training_hours\": \"9\", \"total_measure\": 108338.0, \"share_within_group\": 1.720164112465307}, {\"last_new_job\": \">4\", \"training_hours\": \"18\", \"total_measure\": 922245.0, \"share_within_group\": 1.7171364781886365}, {\"last_new_job\": \"2\", \"training_hours\": \"28\", \"total_measure\": 825683.0, \"share_within_group\": 1.7168991119787067}, {\"last_new_job\": \"\", \"training_hours\": \"20\", \"total_measure\": 107753.0, \"share_within_group\": 1.7108756263773952}, {\"last_new_job\": \"never\", \"training_hours\": \"12\", \"total_measure\": 704206.0, \"share_within_group\": 1.7104897599082591}, {\"last_new_job\": \"1\", \"training_hours\": \"28\", \"total_measure\": 2370606.0, \"share_within_group\": 1.697341700124629}, {\"last_new_job\": \"never\", \"training_hours\": \"13\", \"total_measure\": 693355.0, \"share_within_group\": 1.6841330910006318}, {\"last_new_job\": \"\", \"training_hours\": \"48\", \"total_measure\": 106060.0, \"share_within_group\": 1.683994588861438}, {\"last_new_job\": \"2\", \"training_hours\": \"17\", \"total_measure\": 806975.0, \"share_within_group\": 1.6779982885550713}, {\"last_new_job\": \"3\", \"training_hours\": \"23\", \"total_measure\": 283144.0, \"share_within_group\": 1.6650235616264357}, {\"last_new_job\": \"4\", \"training_hours\": \"22\", \"total_measure\": 288841.0, \"share_within_group\": 1.6639173873983637}, {\"last_new_job\": \"never\", \"training_hours\": \"34\", \"total_measure\": 678868.0, \"share_within_group\": 1.6489447155085302}, {\"last_new_job\": \"2\", \"training_hours\": \"12\", \"total_measure\": 788847.0, \"share_within_group\": 1.6403034987847236}, {\"last_new_job\": \"1\", \"training_hours\": \"20\", \"total_measure\": 2268444.0, \"share_within_group\": 1.6241942337096564}, {\"last_new_job\": \"4\", \"training_hours\": \"21\", \"total_measure\": 281518.0, \"share_within_group\": 1.6217320084946825}, {\"last_new_job\": \"\", \"training_hours\": \"10\", \"total_measure\": 101987.0, \"share_within_group\": 1.619324496833976}, {\"last_new_job\": \"never\", \"training_hours\": \"9\", \"total_measure\": 664809.0, \"share_within_group\": 1.6147959358410036}, {\"last_new_job\": \"2\", \"training_hours\": \"21\", \"total_measure\": 774787.0, \"share_within_group\": 1.6110675795343326}, {\"last_new_job\": \"3\", \"training_hours\": \"8\", \"total_measure\": 272495.0, \"share_within_group\": 1.6024022950350199}, {\"last_new_job\": \"2\", \"training_hours\": \"36\", \"total_measure\": 768246.0, \"share_within_group\": 1.5974664310409608}, {\"last_new_job\": \"1\", \"training_hours\": \"50\", \"total_measure\": 2227813.0, \"share_within_group\": 1.5951026467408544}, {\"last_new_job\": \"4\", \"training_hours\": \"18\", \"total_measure\": 273978.0, \"share_within_group\": 1.5782965644234335}, {\"last_new_job\": \"1\", \"training_hours\": \"21\", \"total_measure\": 2197771.0, \"share_within_group\": 1.573592729295634}, {\"last_new_job\": \"2\", \"training_hours\": \"8\", \"total_measure\": 745182.0, \"share_within_group\": 1.5495078790074601}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 31.77}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2c8fa5178b92e059/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2c8fa5178b92e059/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..f5b7798c7fe05c67ce994080924a5e5f4b148dce
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2c8fa5178b92e059/run_manifest.json
@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:39:27.715420+00:00",
+  "ended_at": "2026-05-19T15:39:40.490025+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_2c8fa5178b92e059",
+    "problem_id": "v2p_m9_91e84091e1d8de4a",
+    "dataset_id": "m9",
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=last_new_job, measure_col=enrollee_id.",
+    "bindings": {
+      "group_col": "last_new_job",
+      "measure_col": "enrollee_id",
+      "item_col": "training_hours",
+      "top_k": 13,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 25169.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=10",
+      "sql_variant_index=1/2",
+      "binding_index=33"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 10,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2c8fa5178b92e059.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_2c8fa5178b92e059",
+    "api_calls": 0,
+    "input_tokens": 14770,
+    "cached_input_tokens": 12032,
+    "output_tokens": 704,
+    "total_tokens": 15474,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 12736.93,
+    "sql_execution_elapsed_ms_total": 31.77,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2c8fa5178b92e059/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2c8fa5178b92e059/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2c8fa5178b92e059/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..28e5f827b421e86c6242f12f9eae7ce87968b79f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2c8fa5178b92e059/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:39:40.455896+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12736.93, "started_at": "2026-05-19T15:39:27.718106+00:00", "ended_at": "2026-05-19T15:39:40.455074+00:00", "prompt_metrics": {"chars": 9710, "bytes_utf8": 9710, "lines": 266, "estimated_tokens": null}, "response_metrics": {"chars": 639, "bytes_utf8": 639, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14770, "cached_input_tokens": 12032, "output_tokens": 704, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"last_new_job\\\",\\n  \\\"training_hours\\\",\\n  SUM(CAST(\\\"enrollee_id\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"enrollee_id\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"enrollee_id\\\" AS REAL))) OVER (PARTITION BY \\\"last_new_job\\\") AS share_within_group\\nFROM \\\"m9\\\"\\nGROUP BY \\\"last_new_job\\\", \\\"training_hours\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the required template with group_col=\\\"last_new_job\\\", item_col=\\\"training_hours\\\", and measure_col=\\\"enrollee_id\\\". Because \\\"enrollee_id\\\" is stored as TEXT in SQLite, it is cast to REAL so SUM() is SQLite-compatible.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2c8fa5178b92e059/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2c8fa5178b92e059/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..27705e17192db82d27dcdee8c72872cda82da6b3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2c8fa5178b92e059/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_2c8fa5178b92e059",
+  "api_calls": 0,
+  "input_tokens": 14770,
+  "cached_input_tokens": 12032,
+  "output_tokens": 704,
+  "total_tokens": 15474,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 12736.93,
+  "sql_execution_elapsed_ms_total": 31.77,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2c8fa5178b92e059/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2de055a3833dfc2b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2de055a3833dfc2b/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..c456d3ac227fb1f54ea9d474d7a6c11d279259a3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2de055a3833dfc2b/run_manifest.json
@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:26.235847+00:00",
+  "ended_at": "2026-05-19T16:08:33.107666+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_2de055a3833dfc2b",
+    "problem_id": "v2p_m9_8003b03f94c7c856",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "variant_semantic_role": "filtered_stable_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=experience, measure_col=enrollee_id.",
+    "bindings": {
+      "group_col": "experience",
+      "measure_col": "enrollee_id",
+      "top_k": 13,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 25169.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/2",
+      "binding_index=138"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2de055a3833dfc2b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2de055a3833dfc2b/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..a05e285fe0f6448cfcfa8b5afeafa2528cea1f5f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2de055a3833dfc2b/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:08:29.227625+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2988.78, "started_at": "2026-05-19T16:08:26.238093+00:00", "ended_at": "2026-05-19T16:08:29.226900+00:00", "prompt_metrics": {"chars": 9381, "bytes_utf8": 9381, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-e27b-7503-8a2b-74cf8c9e4cd7\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:08:33.107575+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2878.35, "started_at": "2026-05-19T16:08:30.228453+00:00", "ended_at": "2026-05-19T16:08:33.106840+00:00", "prompt_metrics": {"chars": 9381, "bytes_utf8": 9381, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-f20e-7bd2-b542-b4174731cefb\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2ecccc68819b9d94/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2ecccc68819b9d94/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3c1fbbfc502ce3527f253e3a3e071a2157c198f3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2ecccc68819b9d94/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"total_rows": 19158, "missing_rows": 0, "missing_rate": 0.0}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2ecccc68819b9d94/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2ecccc68819b9d94/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..aa96f89f1506e9464ece39675886cde2c91be83a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2ecccc68819b9d94/generated_sql.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: marginal_missing_rate_consistency
+-- intended_facet_id: missing_indicator_distribution
+-- variant_semantic_role: missing_indicator_view
+-- template_id: tpl_missing_marginal_rate_profile
+-- query_record_id: v2q_m9_2ecccc68819b9d94
+-- problem_id: v2p_m9_d60dd0f8b3b1e51d
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "company_type" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "company_type" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9";
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2ecccc68819b9d94/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2ecccc68819b9d94/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..2c5676a480a0317cfeb13ad3ae6338442756c328
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2ecccc68819b9d94/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: missingness_structure\n-- canonical_subitem_id: marginal_missing_rate_consistency\n-- intended_facet_id: missing_indicator_distribution\n-- variant_semantic_role: missing_indicator_view\n-- template_id: tpl_missing_marginal_rate_profile\n-- query_record_id: v2q_m9_2ecccc68819b9d94\n-- problem_id: v2p_m9_d60dd0f8b3b1e51d\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"company_type\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"company_type\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m9\";", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: marginal_missing_rate_consistency\\n-- intended_facet_id: missing_indicator_distribution\\n-- variant_semantic_role: missing_indicator_view\\n-- template_id: tpl_missing_marginal_rate_profile\\n-- query_record_id: v2q_m9_2ecccc68819b9d94\\n-- problem_id: v2p_m9_d60dd0f8b3b1e51d\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"company_type\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"company_type\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m9\\\";\", \"columns\": [\"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"total_rows\": 19158, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.98}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2ecccc68819b9d94/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2ecccc68819b9d94/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..f9c22b914502a7a3c9e370173bcc87822765017a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2ecccc68819b9d94/run_manifest.json
@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:55.927064+00:00",
+  "ended_at": "2026-05-19T16:08:55.930638+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_2ecccc68819b9d94",
+    "problem_id": "v2p_m9_d60dd0f8b3b1e51d",
+    "dataset_id": "m9",
+    "template_id": "tpl_missing_marginal_rate_profile",
+    "template_name": "Marginal Missing Rate Profile",
+    "family_id": "missingness_structure",
+    "canonical_subitem_id": "marginal_missing_rate_consistency",
+    "intended_facet_id": "missing_indicator_distribution",
+    "variant_semantic_role": "missing_indicator_view",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": false,
+    "question": "Use template Marginal Missing Rate Profile to probe marginal_missing_rate_consistency with semantic role missing_indicator_view. Focus on missing_col=company_type.",
+    "bindings": {
+      "missing_col": "company_type"
+    },
+    "binding_roles": [
+      "missing_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table};",
+    "notes": [
+      "default_facets=missing_indicator_distribution",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2ecccc68819b9d94.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2ecccc68819b9d94/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2ecccc68819b9d94/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2ecccc68819b9d94/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2f71dcc641ef5656/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2f71dcc641ef5656/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..e8c3e74f8c8b2514c6fb0ba2452545e143f4f68f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2f71dcc641ef5656/run_manifest.json
@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:55:53.599566+00:00",
+  "ended_at": "2026-05-19T15:56:01.232248+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_2f71dcc641ef5656",
+    "problem_id": "v2p_m9_1fa8359cf58f2b7c",
+    "dataset_id": "m9",
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_concentration_consistency",
+    "intended_facet_id": "rare_target_concentration",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=major_discipline, measure_col=training_hours.",
+    "bindings": {
+      "group_col": "major_discipline",
+      "measure_col": "training_hours",
+      "top_k": 19,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 70.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "notes": [
+      "default_facets=rare_target_concentration",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=2/2",
+      "binding_index=89"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2f71dcc641ef5656/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2f71dcc641ef5656/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..996150671b53cd440da891dcf4f2666886504350
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_2f71dcc641ef5656/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T15:55:57.018266+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3415.9, "started_at": "2026-05-19T15:55:53.601560+00:00", "ended_at": "2026-05-19T15:55:57.017484+00:00", "prompt_metrics": {"chars": 9490, "bytes_utf8": 9490, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f3-6697-7822-8245-015592da6dfd\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T15:56:01.232159+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3211.58, "started_at": "2026-05-19T15:55:58.019790+00:00", "ended_at": "2026-05-19T15:56:01.231415+00:00", "prompt_metrics": {"chars": 9490, "bytes_utf8": 9490, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f3-77e0-7f23-923d-8135bb4d9b6f\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3268495ff572f220/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3268495ff572f220/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..33e59d17eb2745adc8bd4c9451ca7cf3d3331050
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3268495ff572f220/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "", "support": 5938, "support_share": 0.3099488464349097, "support_rank": 1}, {"value_label": "50-99", "support": 3083, "support_share": 0.16092493997285728, "support_rank": 2}, {"value_label": "100-500", "support": 2571, "support_share": 0.13419981208894458, "support_rank": 3}, {"value_label": "10000+", "support": 2019, "support_share": 0.10538678358910115, "support_rank": 4}, {"value_label": "10/49", "support": 1471, "support_share": 0.07678254515085083, "support_rank": 5}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3268495ff572f220/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3268495ff572f220/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..dd659ae88dba11b1577ed0bdcdc02c0e73544c83
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3268495ff572f220/generated_sql.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_m9_3268495ff572f220
+-- problem_id: v2p_m9_29c7697a70a37956
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "company_size" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "company_size"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3268495ff572f220/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3268495ff572f220/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..440550a017b0e02292901ebcefc4b0a4041cbccb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3268495ff572f220/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m9_3268495ff572f220\n-- problem_id: v2p_m9_29c7697a70a37956\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"company_size\" AS value_label, COUNT(*) AS support\n    FROM \"m9\"\n    GROUP BY \"company_size\"\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m9_3268495ff572f220\\n-- problem_id: v2p_m9_29c7697a70a37956\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"company_size\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"company_size\\\"\\n)\\nSELECT\\n    value_label,\\n    support,\\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"\", \"support\": 5938, \"support_share\": 0.3099488464349097, \"support_rank\": 1}, {\"value_label\": \"50-99\", \"support\": 3083, \"support_share\": 0.16092493997285728, \"support_rank\": 2}, {\"value_label\": \"100-500\", \"support\": 2571, \"support_share\": 0.13419981208894458, \"support_rank\": 3}, {\"value_label\": \"10000+\", \"support\": 2019, \"support_share\": 0.10538678358910115, \"support_rank\": 4}, {\"value_label\": \"10/49\", \"support\": 1471, \"support_share\": 0.07678254515085083, \"support_rank\": 5}, {\"value_label\": \"1000-4999\", \"support\": 1328, \"support_share\": 0.06931830044889863, \"support_rank\": 6}, {\"value_label\": \"<10\", \"support\": 1308, \"support_share\": 0.06827435014093329, \"support_rank\": 7}, {\"value_label\": \"500-999\", \"support\": 877, \"support_share\": 0.045777221004280194, \"support_rank\": 8}, {\"value_label\": \"5000-9999\", \"support\": 563, \"support_share\": 0.029387201169224345, \"support_rank\": 9}], \"row_count_returned\": 9, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.17}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3268495ff572f220/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3268495ff572f220/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5bc2f5bd01288dba9a927ba82a7f23ac9c86799
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3268495ff572f220/run_manifest.json
@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.330489+00:00",
+  "ended_at": "2026-05-19T16:08:56.338414+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_3268495ff572f220",
+    "problem_id": "v2p_m9_29c7697a70a37956",
+    "dataset_id": "m9",
+    "template_id": "tpl_cardinality_support_rank_profile",
+    "template_name": "Cardinality Support Rank Profile",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "support_rank_profile_consistency",
+    "intended_facet_id": "value_imbalance_profile",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=company_size.",
+    "bindings": {
+      "group_col": "company_size"
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;",
+    "notes": [
+      "default_facets=support_concentration,value_imbalance_profile",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=8",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3268495ff572f220.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3268495ff572f220/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3268495ff572f220/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3268495ff572f220/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33af6dde8c46e173/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33af6dde8c46e173/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ffbd4a6bfd7dd193edb934bcf7059e75bc7876f1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33af6dde8c46e173/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"enrolled_university": "no_enrollment", "total_rows": 13817, "missing_rows": 0, "missing_rate": 0.0}, {"enrolled_university": "Full time course", "total_rows": 3757, "missing_rows": 0, "missing_rate": 0.0}, {"enrolled_university": "Part time course", "total_rows": 1198, "missing_rows": 0, "missing_rate": 0.0}, {"enrolled_university": "", "total_rows": 386, "missing_rows": 0, "missing_rate": 0.0}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33af6dde8c46e173/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33af6dde8c46e173/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..8bcfe3250cae49fa033d8c30c242061412caffef
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33af6dde8c46e173/generated_sql.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_rate_by_subgroup
+-- variant_semantic_role: missing_rate_by_subgroup
+-- template_id: tpl_missing_rate_by_subgroup
+-- query_record_id: v2q_m9_33af6dde8c46e173
+-- problem_id: v2p_m9_b8ffe6a386fca068
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "enrolled_university",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "company_size" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "company_size" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "enrolled_university"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33af6dde8c46e173/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33af6dde8c46e173/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..f068a44af1d5859775bd9f8d9e4dd2dbde855dfb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33af6dde8c46e173/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_m9_33af6dde8c46e173\n-- problem_id: v2p_m9_b8ffe6a386fca068\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"enrolled_university\",\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"company_size\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"company_size\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m9\"\nGROUP BY \"enrolled_university\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_m9_33af6dde8c46e173\\n-- problem_id: v2p_m9_b8ffe6a386fca068\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"enrolled_university\\\",\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"company_size\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"company_size\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m9\\\"\\nGROUP BY \\\"enrolled_university\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"enrolled_university\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"enrolled_university\": \"no_enrollment\", \"total_rows\": 13817, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"enrolled_university\": \"Full time course\", \"total_rows\": 3757, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"enrolled_university\": \"Part time course\", \"total_rows\": 1198, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"enrolled_university\": \"\", \"total_rows\": 386, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.77}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33af6dde8c46e173/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33af6dde8c46e173/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..c866d72aedd5f8c4ab7d8b0112315fba09bcad11
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33af6dde8c46e173/run_manifest.json
@@ -0,0 +1,59 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.016702+00:00",
+  "ended_at": "2026-05-19T16:08:56.025150+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_33af6dde8c46e173",
+    "problem_id": "v2p_m9_b8ffe6a386fca068",
+    "dataset_id": "m9",
+    "template_id": "tpl_missing_rate_by_subgroup",
+    "template_name": "Missing Rate by Subgroup",
+    "family_id": "missingness_structure",
+    "canonical_subitem_id": "co_missingness_pattern_consistency",
+    "intended_facet_id": "missing_rate_by_subgroup",
+    "variant_semantic_role": "missing_rate_by_subgroup",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": false,
+    "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=enrolled_university, missing_col=company_size.",
+    "bindings": {
+      "missing_col": "company_size",
+      "group_col": "enrolled_university"
+    },
+    "binding_roles": [
+      "missing_col",
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;",
+    "notes": [
+      "default_facets=missing_rate_by_subgroup,missing_target_interaction",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=9",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 9,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_33af6dde8c46e173.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33af6dde8c46e173/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33af6dde8c46e173/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33af6dde8c46e173/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33cc4a8483978a67/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33cc4a8483978a67/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3c1fbbfc502ce3527f253e3a3e071a2157c198f3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33cc4a8483978a67/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"total_rows": 19158, "missing_rows": 0, "missing_rate": 0.0}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33cc4a8483978a67/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33cc4a8483978a67/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..e51312bc0a4ae13aa2ee149b7f692f6790942d53
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33cc4a8483978a67/generated_sql.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: marginal_missing_rate_consistency
+-- intended_facet_id: missing_indicator_distribution
+-- variant_semantic_role: missing_indicator_view
+-- template_id: tpl_missing_marginal_rate_profile
+-- query_record_id: v2q_m9_33cc4a8483978a67
+-- problem_id: v2p_m9_b3539ef3e45038d1
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "gender" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "gender" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9";
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33cc4a8483978a67/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33cc4a8483978a67/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..adef734fd277536452f3ae80fa71b5345371f679
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33cc4a8483978a67/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: missingness_structure\n-- canonical_subitem_id: marginal_missing_rate_consistency\n-- intended_facet_id: missing_indicator_distribution\n-- variant_semantic_role: missing_indicator_view\n-- template_id: tpl_missing_marginal_rate_profile\n-- query_record_id: v2q_m9_33cc4a8483978a67\n-- problem_id: v2p_m9_b3539ef3e45038d1\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"gender\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"gender\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m9\";", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: marginal_missing_rate_consistency\\n-- intended_facet_id: missing_indicator_distribution\\n-- variant_semantic_role: missing_indicator_view\\n-- template_id: tpl_missing_marginal_rate_profile\\n-- query_record_id: v2q_m9_33cc4a8483978a67\\n-- problem_id: v2p_m9_b3539ef3e45038d1\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"gender\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"gender\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m9\\\";\", \"columns\": [\"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"total_rows\": 19158, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.55}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33cc4a8483978a67/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33cc4a8483978a67/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..afb1f62d35b6ff4fd1b81555bbf3b5f80634f7a6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33cc4a8483978a67/run_manifest.json
@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:55.900307+00:00",
+  "ended_at": "2026-05-19T16:08:55.905882+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_33cc4a8483978a67",
+    "problem_id": "v2p_m9_b3539ef3e45038d1",
+    "dataset_id": "m9",
+    "template_id": "tpl_missing_marginal_rate_profile",
+    "template_name": "Marginal Missing Rate Profile",
+    "family_id": "missingness_structure",
+    "canonical_subitem_id": "marginal_missing_rate_consistency",
+    "intended_facet_id": "missing_indicator_distribution",
+    "variant_semantic_role": "missing_indicator_view",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": false,
+    "question": "Use template Marginal Missing Rate Profile to probe marginal_missing_rate_consistency with semantic role missing_indicator_view. Focus on missing_col=gender.",
+    "bindings": {
+      "missing_col": "gender"
+    },
+    "binding_roles": [
+      "missing_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table};",
+    "notes": [
+      "default_facets=missing_indicator_distribution",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=1",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_33cc4a8483978a67.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33cc4a8483978a67/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33cc4a8483978a67/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_33cc4a8483978a67/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3c214e997dd8d8a5/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3c214e997dd8d8a5/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..25e4b0a8685ae3e22baec665eb354e36ce28ff7e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3c214e997dd8d8a5/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=education_level, measure_col=city_development_index.
+Result preview: [{"education_level": "Graduate", "group_value": 9553.635}, {"education_level": "Masters", "group_value": 3645.564}, {"education_level": "High School", "group_value": 1681.956}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3c214e997dd8d8a5/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3c214e997dd8d8a5/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..ba24a66237f8fc283ebe86b42408549048525f88
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3c214e997dd8d8a5/generated_sql.sql
@@ -0,0 +1,32 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_3c214e997dd8d8a5
+-- problem_id: v2p_m9_86d54045a89ed1d3
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+  SELECT
+    "education_level",
+    SUM(CAST("city_development_index" AS REAL)) AS group_value
+  FROM "m9"
+  WHERE "education_level" IS NOT NULL
+    AND "education_level" <> ''
+    AND "city_development_index" IS NOT NULL
+    AND "city_development_index" <> ''
+  GROUP BY "education_level"
+), total AS (
+  SELECT SUM(group_value) AS total_value
+  FROM grouped
+)
+SELECT g."education_level", g.group_value
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g.group_value > t.total_value * 0.05
+ORDER BY g.group_value DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3c214e997dd8d8a5/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3c214e997dd8d8a5/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..8c7df213bedc462346c8558121e0b037e6c42758
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3c214e997dd8d8a5/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n  SELECT\n    \"education_level\",\n    SUM(CAST(\"city_development_index\" AS REAL)) AS group_value\n  FROM \"m9\"\n  WHERE \"education_level\" IS NOT NULL\n    AND \"education_level\" <> ''\n    AND \"city_development_index\" IS NOT NULL\n    AND \"city_development_index\" <> ''\n  GROUP BY \"education_level\"\n), total AS (\n  SELECT SUM(group_value) AS total_value\n  FROM grouped\n)\nSELECT g.\"education_level\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n  SELECT\\n    \\\"education_level\\\",\\n    SUM(CAST(\\\"city_development_index\\\" AS REAL)) AS group_value\\n  FROM \\\"m9\\\"\\n  WHERE \\\"education_level\\\" IS NOT NULL\\n    AND \\\"education_level\\\" <> ''\\n    AND \\\"city_development_index\\\" IS NOT NULL\\n    AND \\\"city_development_index\\\" <> ''\\n  GROUP BY \\\"education_level\\\"\\n), total AS (\\n  SELECT SUM(group_value) AS total_value\\n  FROM grouped\\n)\\nSELECT g.\\\"education_level\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\", \"columns\": [\"education_level\", \"group_value\"], \"rows\": [{\"education_level\": \"Graduate\", \"group_value\": 9553.635}, {\"education_level\": \"Masters\", \"group_value\": 3645.564}, {\"education_level\": \"High School\", \"group_value\": 1681.956}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 13.14}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3c214e997dd8d8a5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3c214e997dd8d8a5/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..a3391e94cf804c54cb5e230a2d1cf9029d04a812
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3c214e997dd8d8a5/run_manifest.json
@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:48:09.889390+00:00",
+  "ended_at": "2026-05-19T15:48:22.397368+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_3c214e997dd8d8a5",
+    "problem_id": "v2p_m9_86d54045a89ed1d3",
+    "dataset_id": "m9",
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "filtered_stable_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=education_level, measure_col=city_development_index.",
+    "bindings": {
+      "group_col": "education_level",
+      "measure_col": "city_development_index",
+      "top_k": 16,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=2/2",
+      "binding_index=76"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3c214e997dd8d8a5.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_3c214e997dd8d8a5",
+    "api_calls": 0,
+    "input_tokens": 14788,
+    "cached_input_tokens": 13696,
+    "output_tokens": 612,
+    "total_tokens": 15400,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 12489.85,
+    "sql_execution_elapsed_ms_total": 13.14,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3c214e997dd8d8a5/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3c214e997dd8d8a5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3c214e997dd8d8a5/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..585c90e3690bf18554b054c10d28cfecd59deb47
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3c214e997dd8d8a5/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:48:22.382555+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12489.85, "started_at": "2026-05-19T15:48:09.891843+00:00", "ended_at": "2026-05-19T15:48:22.381725+00:00", "prompt_metrics": {"chars": 9880, "bytes_utf8": 9880, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 859, "bytes_utf8": 859, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14788, "cached_input_tokens": 13696, "output_tokens": 612, "reasoning_output_tokens": 394}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n  SELECT\\n    \\\"education_level\\\",\\n    SUM(CAST(\\\"city_development_index\\\" AS REAL)) AS group_value\\n  FROM \\\"m9\\\"\\n  WHERE \\\"education_level\\\" IS NOT NULL\\n    AND \\\"education_level\\\" <> ''\\n    AND \\\"city_development_index\\\" IS NOT NULL\\n    AND \\\"city_development_index\\\" <> ''\\n  GROUP BY \\\"education_level\\\"\\n), total AS (\\n  SELECT SUM(group_value) AS total_value\\n  FROM grouped\\n)\\nSELECT g.\\\"education_level\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the requested template with group_col=\\\"education_level\\\" and measure_col=\\\"city_development_index\\\", casting the text measure to REAL and filtering blank/null group or measure values for a stable grouped view.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3c214e997dd8d8a5/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3c214e997dd8d8a5/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..fa0618816012b3b5698657bc9ce5fe727b6d2c06
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3c214e997dd8d8a5/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_3c214e997dd8d8a5",
+  "api_calls": 0,
+  "input_tokens": 14788,
+  "cached_input_tokens": 13696,
+  "output_tokens": 612,
+  "total_tokens": 15400,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 12489.85,
+  "sql_execution_elapsed_ms_total": 13.14,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3c214e997dd8d8a5/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3ca64cfda21f41bb/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3ca64cfda21f41bb/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b8b740aa20daa9b5defcb7b8c7faa5c4c9814268
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3ca64cfda21f41bb/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=city_development_index, condition_col=gender.
+Result preview: [{"city_development_index": "0.664", "condition_rate": 1.0}, {"city_development_index": "0.479", "condition_rate": 0.75}, {"city_development_index": "0.7809999999999999", "condition_rate": 0.6666666666666666}, {"city_development_index": "0.625", "condition_rate": 0.6666666666666666}, {"city_development_index": "0.44799999999999995", "condition_rate": 0.5882352941176471}] Results were truncated.
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3ca64cfda21f41bb/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3ca64cfda21f41bb/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..0edd6debbaf13512c9f749bafb76f8b038382eed
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3ca64cfda21f41bb/generated_sql.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_3ca64cfda21f41bb
+-- problem_id: v2p_m9_23c9b122f1990192
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "city_development_index",
+       AVG(CASE WHEN "gender" = '' THEN 1 ELSE 0 END) AS condition_rate
+FROM "m9"
+GROUP BY "city_development_index"
+ORDER BY condition_rate DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3ca64cfda21f41bb/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3ca64cfda21f41bb/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..27f5c4ee4f66c11629e9dffb9468ebefb0fe3a1b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3ca64cfda21f41bb/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"city_development_index\",\n       AVG(CASE WHEN \"gender\" = '' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m9\"\nGROUP BY \"city_development_index\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"city_development_index\\\",\\n       AVG(CASE WHEN \\\"gender\\\" = '' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m9\\\"\\nGROUP BY \\\"city_development_index\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"city_development_index\", \"condition_rate\"], \"rows\": [{\"city_development_index\": \"0.664\", \"condition_rate\": 1.0}, {\"city_development_index\": \"0.479\", \"condition_rate\": 0.75}, {\"city_development_index\": \"0.7809999999999999\", \"condition_rate\": 0.6666666666666666}, {\"city_development_index\": \"0.625\", \"condition_rate\": 0.6666666666666666}, {\"city_development_index\": \"0.44799999999999995\", \"condition_rate\": 0.5882352941176471}, {\"city_development_index\": \"0.563\", \"condition_rate\": 0.5384615384615384}, {\"city_development_index\": \"0.7390000000000001\", \"condition_rate\": 0.5}, {\"city_development_index\": \"0.735\", \"condition_rate\": 0.5}, {\"city_development_index\": \"0.518\", \"condition_rate\": 0.5}, {\"city_development_index\": \"0.556\", \"condition_rate\": 0.42857142857142855}, {\"city_development_index\": \"0.516\", \"condition_rate\": 0.4166666666666667}, {\"city_development_index\": \"0.7959999999999999\", \"condition_rate\": 0.41379310344827586}, {\"city_development_index\": \"0.856\", \"condition_rate\": 0.40625}, {\"city_development_index\": \"0.745\", \"condition_rate\": 0.4}, {\"city_development_index\": \"0.645\", \"condition_rate\": 0.4}, {\"city_development_index\": \"0.555\", \"condition_rate\": 0.3968253968253968}, {\"city_development_index\": \"0.493\", \"condition_rate\": 0.38461538461538464}, {\"city_development_index\": \"0.767\", \"condition_rate\": 0.3828125}, {\"city_development_index\": \"0.6890000000000001\", \"condition_rate\": 0.38235294117647056}, {\"city_development_index\": \"0.763\", \"condition_rate\": 0.37037037037037035}, {\"city_development_index\": \"0.903\", \"condition_rate\": 0.36585365853658536}, {\"city_development_index\": \"0.624\", \"condition_rate\": 0.36232420429311624}, {\"city_development_index\": \"0.691\", \"condition_rate\": 0.35555555555555557}, {\"city_development_index\": \"0.579\", \"condition_rate\": 0.35555555555555557}, {\"city_development_index\": \"0.84\", \"condition_rate\": 0.3448275862068966}, {\"city_development_index\": \"0.55\", \"condition_rate\": 0.3441295546558704}, {\"city_development_index\": \"0.764\", \"condition_rate\": 0.3333333333333333}, {\"city_development_index\": \"0.647\", \"condition_rate\": 0.3333333333333333}, {\"city_development_index\": \"0.727\", \"condition_rate\": 0.32075471698113206}, {\"city_development_index\": \"0.682\", \"condition_rate\": 0.31932773109243695}, {\"city_development_index\": \"0.698\", \"condition_rate\": 0.3162518301610542}, {\"city_development_index\": \"0.64\", \"condition_rate\": 0.3076923076923077}, {\"city_development_index\": \"0.7659999999999999\", \"condition_rate\": 0.30612244897959184}, {\"city_development_index\": \"0.527\", \"condition_rate\": 0.30434782608695654}, {\"city_development_index\": \"0.738\", \"condition_rate\": 0.3037974683544304}, {\"city_development_index\": \"0.775\", \"condition_rate\": 0.3}, {\"city_development_index\": \"0.7879999999999999\", \"condition_rate\": 0.2857142857142857}, {\"city_development_index\": \"0.5579999999999999\", \"condition_rate\": 0.28}, {\"city_development_index\": \"0.725\", \"condition_rate\": 0.2777777777777778}, {\"city_development_index\": \"0.769\", \"condition_rate\": 0.2727272727272727}, {\"city_development_index\": \"0.743\", \"condition_rate\": 0.2602739726027397}, {\"city_development_index\": \"0.804\", \"condition_rate\": 0.2532894736842105}, {\"city_development_index\": \"0.897\", \"condition_rate\": 0.2525597269624573}, {\"city_development_index\": \"0.8240000000000001\", \"condition_rate\": 0.25}, {\"city_development_index\": \"0.807\", \"condition_rate\": 0.25}, {\"city_development_index\": \"0.795\", \"condition_rate\": 0.25}, {\"city_development_index\": \"0.649\", \"condition_rate\": 0.25}, {\"city_development_index\": \"0.7759999999999999\", \"condition_rate\": 0.24390243902439024}, {\"city_development_index\": \"0.887\", \"condition_rate\": 0.24363636363636362}, {\"city_development_index\": \"0.789\", \"condition_rate\": 0.24074074074074073}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 13.23}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3ca64cfda21f41bb/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3ca64cfda21f41bb/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..f89314e890744c417685cc82923ecf1648c16ab5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3ca64cfda21f41bb/run_manifest.json
@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:59:21.951683+00:00",
+  "ended_at": "2026-05-19T15:59:35.150068+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_3ca64cfda21f41bb",
+    "problem_id": "v2p_m9_23c9b122f1990192",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=city_development_index, condition_col=gender.",
+    "bindings": {
+      "group_col": "city_development_index",
+      "condition_col": "gender",
+      "condition_value": "",
+      "positive_value": "Male",
+      "negative_value": "",
+      "top_k": 16,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 25169.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=1",
+      "sql_variant_index=2/2",
+      "binding_index=96"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3ca64cfda21f41bb.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_3ca64cfda21f41bb",
+    "api_calls": 0,
+    "input_tokens": 14706,
+    "cached_input_tokens": 12032,
+    "output_tokens": 589,
+    "total_tokens": 15295,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 13179.5,
+    "sql_execution_elapsed_ms_total": 13.23,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3ca64cfda21f41bb/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3ca64cfda21f41bb/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3ca64cfda21f41bb/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..a23577a6523917f073f13c29992a5c92b35855ea
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3ca64cfda21f41bb/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:59:35.135019+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13179.5, "started_at": "2026-05-19T15:59:21.954362+00:00", "ended_at": "2026-05-19T15:59:35.133903+00:00", "prompt_metrics": {"chars": 9557, "bytes_utf8": 9557, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 396, "bytes_utf8": 396, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14706, "cached_input_tokens": 12032, "output_tokens": 589, "reasoning_output_tokens": 486}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"city_development_index\\\",\\n       AVG(CASE WHEN \\\"gender\\\" = '' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m9\\\"\\nGROUP BY \\\"city_development_index\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the provided Grouped Condition Rate template to compute, for each city_development_index group, the rate of rows where gender is blank.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3ca64cfda21f41bb/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3ca64cfda21f41bb/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..89273d2ef8e2e27bb3781c7861a87b9947d13b48
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3ca64cfda21f41bb/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_3ca64cfda21f41bb",
+  "api_calls": 0,
+  "input_tokens": 14706,
+  "cached_input_tokens": 12032,
+  "output_tokens": 589,
+  "total_tokens": 15295,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 13179.5,
+  "sql_execution_elapsed_ms_total": 13.23,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3ca64cfda21f41bb/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3cfe0b4c60404e03/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3cfe0b4c60404e03/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1bb497cdaabf8de807810147f3b4a87bb841a973
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3cfe0b4c60404e03/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "Has relevent experience", "support": 13792, "support_share": 0.7199081323728991, "support_rank": 1}, {"value_label": "No relevent experience", "support": 5366, "support_share": 0.280091867627101, "support_rank": 2}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3cfe0b4c60404e03/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3cfe0b4c60404e03/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..2a7ce3f4f3af3ba9d53315c44738171479462a67
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3cfe0b4c60404e03/generated_sql.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_m9_3cfe0b4c60404e03
+-- problem_id: v2p_m9_042083977b88bef6
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "relevent_experience" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "relevent_experience"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3cfe0b4c60404e03/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3cfe0b4c60404e03/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..e675df2ad5011a9837fe54dfcb80a0db81fa22da
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3cfe0b4c60404e03/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m9_3cfe0b4c60404e03\n-- problem_id: v2p_m9_042083977b88bef6\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"relevent_experience\" AS value_label, COUNT(*) AS support\n    FROM \"m9\"\n    GROUP BY \"relevent_experience\"\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m9_3cfe0b4c60404e03\\n-- problem_id: v2p_m9_042083977b88bef6\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"relevent_experience\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"relevent_experience\\\"\\n)\\nSELECT\\n    value_label,\\n    support,\\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"Has relevent experience\", \"support\": 13792, \"support_share\": 0.7199081323728991, \"support_rank\": 1}, {\"value_label\": \"No relevent experience\", \"support\": 5366, \"support_share\": 0.280091867627101, \"support_rank\": 2}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.65}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3cfe0b4c60404e03/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3cfe0b4c60404e03/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..33f5e03a6ea3b9011ebf92ddb05a28865a835d34
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3cfe0b4c60404e03/run_manifest.json
@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.288234+00:00",
+  "ended_at": "2026-05-19T16:08:56.297904+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_3cfe0b4c60404e03",
+    "problem_id": "v2p_m9_042083977b88bef6",
+    "dataset_id": "m9",
+    "template_id": "tpl_cardinality_support_rank_profile",
+    "template_name": "Cardinality Support Rank Profile",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "support_rank_profile_consistency",
+    "intended_facet_id": "support_concentration",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=relevent_experience.",
+    "bindings": {
+      "group_col": "relevent_experience"
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;",
+    "notes": [
+      "default_facets=support_concentration,value_imbalance_profile",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=3",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 3,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3cfe0b4c60404e03.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3cfe0b4c60404e03/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3cfe0b4c60404e03/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3cfe0b4c60404e03/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3f5d3394bd5c4a6c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3f5d3394bd5c4a6c/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..252047e341934fff592ffee064610feb7e4cc923
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3f5d3394bd5c4a6c/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=enrolled_university, condition_col=education_level.
+Result preview: [{"enrolled_university": "Part time course", "condition_rate": 0.654424040066778}, {"enrolled_university": "no_enrollment", "condition_rate": 0.6104074690598538}, {"enrolled_university": "Full time course", "condition_rate": 0.5879691243013042}, {"enrolled_university": "", "condition_rate": 0.4430051813471503}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3f5d3394bd5c4a6c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3f5d3394bd5c4a6c/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..2bd64757241e89886f604acff77452cab6ef7ae4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3f5d3394bd5c4a6c/generated_sql.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_3f5d3394bd5c4a6c
+-- problem_id: v2p_m9_66356dd07392cd05
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "enrolled_university",
+       AVG(CASE WHEN "education_level" = 'Graduate' THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "m9"
+GROUP BY "enrolled_university"
+ORDER BY "condition_rate" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3f5d3394bd5c4a6c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3f5d3394bd5c4a6c/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..6f1e96bcc4c6fc055277f6a42c039ec170d42565
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3f5d3394bd5c4a6c/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"enrolled_university\",\n       AVG(CASE WHEN \"education_level\" = 'Graduate' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m9\"\nGROUP BY \"enrolled_university\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"enrolled_university\\\",\\n       AVG(CASE WHEN \\\"education_level\\\" = 'Graduate' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"enrolled_university\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"enrolled_university\", \"condition_rate\"], \"rows\": [{\"enrolled_university\": \"Part time course\", \"condition_rate\": 0.654424040066778}, {\"enrolled_university\": \"no_enrollment\", \"condition_rate\": 0.6104074690598538}, {\"enrolled_university\": \"Full time course\", \"condition_rate\": 0.5879691243013042}, {\"enrolled_university\": \"\", \"condition_rate\": 0.4430051813471503}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.34}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3f5d3394bd5c4a6c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3f5d3394bd5c4a6c/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..527cb1c136d84c0ed91d978fb61d4e16f7d0c7fe
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3f5d3394bd5c4a6c/run_manifest.json
@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:00:22.498421+00:00",
+  "ended_at": "2026-05-19T16:00:31.038656+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_3f5d3394bd5c4a6c",
+    "problem_id": "v2p_m9_66356dd07392cd05",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=enrolled_university, condition_col=education_level.",
+    "bindings": {
+      "group_col": "enrolled_university",
+      "condition_col": "education_level",
+      "condition_value": "Graduate",
+      "positive_value": "Graduate",
+      "negative_value": "Masters",
+      "top_k": 14,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 25169.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=1/2",
+      "binding_index=99"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3f5d3394bd5c4a6c.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_3f5d3394bd5c4a6c",
+    "api_calls": 0,
+    "input_tokens": 14711,
+    "cached_input_tokens": 12032,
+    "output_tokens": 348,
+    "total_tokens": 15059,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 8525.97,
+    "sql_execution_elapsed_ms_total": 8.34,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3f5d3394bd5c4a6c/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3f5d3394bd5c4a6c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3f5d3394bd5c4a6c/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..892769a32cc5bcbd75e5952b93b0cfa7ef596316
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3f5d3394bd5c4a6c/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:00:31.028823+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8525.97, "started_at": "2026-05-19T16:00:22.502088+00:00", "ended_at": "2026-05-19T16:00:31.028100+00:00", "prompt_metrics": {"chars": 9577, "bytes_utf8": 9577, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 373, "bytes_utf8": 373, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14711, "cached_input_tokens": 12032, "output_tokens": 348, "reasoning_output_tokens": 246}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"enrolled_university\\\",\\n       AVG(CASE WHEN \\\"education_level\\\" = 'Graduate' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"enrolled_university\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Computes the rate of rows with education_level = 'Graduate' within each enrolled_university group.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3f5d3394bd5c4a6c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3f5d3394bd5c4a6c/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..5a8a2a811103047abf161c1f4e52e4439924cf54
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3f5d3394bd5c4a6c/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_3f5d3394bd5c4a6c",
+  "api_calls": 0,
+  "input_tokens": 14711,
+  "cached_input_tokens": 12032,
+  "output_tokens": 348,
+  "total_tokens": 15059,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 8525.97,
+  "sql_execution_elapsed_ms_total": 8.34,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_3f5d3394bd5c4a6c/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4531ecc9489cfc03/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4531ecc9489cfc03/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f1af1e4b65b7555ea5db5bc269a41aa3ad2ff262
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4531ecc9489cfc03/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=education_level, condition_col=major_discipline.
+Result preview: [{"education_level": "Phd", "condition_rate": 0.9057971014492754}, {"education_level": "Masters", "condition_rate": 0.8880990598486586}, {"education_level": "Graduate", "condition_rate": 0.8832557337471978}, {"education_level": "Primary School", "condition_rate": 0.0}, {"education_level": "High School", "condition_rate": 0.0}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4531ecc9489cfc03/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4531ecc9489cfc03/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..a976145b0ab35f82f8b420b2f8d841b9796e03fb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4531ecc9489cfc03/generated_sql.sql
@@ -0,0 +1,19 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_4531ecc9489cfc03
+-- problem_id: v2p_m9_e4f7b46472318e50
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "education_level",
+  AVG(CASE WHEN "major_discipline" = 'STEM' THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "m9"
+GROUP BY "education_level"
+ORDER BY "condition_rate" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4531ecc9489cfc03/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4531ecc9489cfc03/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..54201cea8368d2bd6c74002a1ac81927fe9909e2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4531ecc9489cfc03/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT\n  \"education_level\",\n  AVG(CASE WHEN \"major_discipline\" = 'STEM' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m9\"\nGROUP BY \"education_level\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n  \\\"education_level\\\",\\n  AVG(CASE WHEN \\\"major_discipline\\\" = 'STEM' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"education_level\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"education_level\", \"condition_rate\"], \"rows\": [{\"education_level\": \"Phd\", \"condition_rate\": 0.9057971014492754}, {\"education_level\": \"Masters\", \"condition_rate\": 0.8880990598486586}, {\"education_level\": \"Graduate\", \"condition_rate\": 0.8832557337471978}, {\"education_level\": \"Primary School\", \"condition_rate\": 0.0}, {\"education_level\": \"High School\", \"condition_rate\": 0.0}, {\"education_level\": \"\", \"condition_rate\": 0.0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.4}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4531ecc9489cfc03/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4531ecc9489cfc03/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..a6f67d2bbfcc39bae4cd2985acfcf510720d8912
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4531ecc9489cfc03/run_manifest.json
@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:00:50.241311+00:00",
+  "ended_at": "2026-05-19T16:01:00.489278+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_4531ecc9489cfc03",
+    "problem_id": "v2p_m9_e4f7b46472318e50",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=education_level, condition_col=major_discipline.",
+    "bindings": {
+      "group_col": "education_level",
+      "condition_col": "major_discipline",
+      "condition_value": "",
+      "positive_value": "STEM",
+      "negative_value": "",
+      "top_k": 15,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=2/2",
+      "binding_index=100"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4531ecc9489cfc03.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_4531ecc9489cfc03",
+    "api_calls": 0,
+    "input_tokens": 14706,
+    "cached_input_tokens": 12032,
+    "output_tokens": 417,
+    "total_tokens": 15123,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 10234.38,
+    "sql_execution_elapsed_ms_total": 9.4,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4531ecc9489cfc03/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4531ecc9489cfc03/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4531ecc9489cfc03/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..dcaa6720bfc117392cae63d3cc814c9514599dbe
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4531ecc9489cfc03/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:01:00.478270+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10234.38, "started_at": "2026-05-19T16:00:50.243010+00:00", "ended_at": "2026-05-19T16:01:00.477416+00:00", "prompt_metrics": {"chars": 9559, "bytes_utf8": 9559, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 483, "bytes_utf8": 483, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14706, "cached_input_tokens": 12032, "output_tokens": 417, "reasoning_output_tokens": 291}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n  \\\"education_level\\\",\\n  AVG(CASE WHEN \\\"major_discipline\\\" = 'STEM' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"education_level\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applied the Grouped Condition Rate template with group_col=\\\"education_level\\\" and condition_col=\\\"major_discipline\\\". Since condition_value was blank, used the bound positive_value 'STEM' as the condition being measured.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4531ecc9489cfc03/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4531ecc9489cfc03/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..77d1a1705b238b430673de41012003976ec2dfae
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4531ecc9489cfc03/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_4531ecc9489cfc03",
+  "api_calls": 0,
+  "input_tokens": 14706,
+  "cached_input_tokens": 12032,
+  "output_tokens": 417,
+  "total_tokens": 15123,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 10234.38,
+  "sql_execution_elapsed_ms_total": 9.4,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4531ecc9489cfc03/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4648f676e11eb886/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4648f676e11eb886/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6fd51d11a58f94bcd082bd8eace43c78631ca540
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4648f676e11eb886/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=city_development_index.
+Result preview: [{"city_development_index": "0.9490000000000001"}, {"city_development_index": "0.9490000000000001"}, {"city_development_index": "0.9490000000000001"}, {"city_development_index": "0.9490000000000001"}, {"city_development_index": "0.9490000000000001"}] Results were truncated.
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4648f676e11eb886/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4648f676e11eb886/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..4cb7aa66e67ca57d08324cfe7319ad9256b49de6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4648f676e11eb886/generated_sql.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_m4_quantile_tail_slice
+-- query_record_id: v2q_m9_4648f676e11eb886
+-- problem_id: v2p_m9_92dea60cbda1093d
+-- realization_mode: agent
+-- source_kind: agent
+WITH "buckets" AS (
+  SELECT
+    "city_development_index",
+    NTILE(10) OVER (ORDER BY CAST("city_development_index" AS REAL) DESC) AS "tail_bucket"
+  FROM "m9"
+  WHERE "city_development_index" IS NOT NULL
+    AND "city_development_index" <> ''
+)
+SELECT "city_development_index"
+FROM "buckets"
+WHERE "tail_bucket" = 1
+ORDER BY CAST("city_development_index" AS REAL) DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4648f676e11eb886/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4648f676e11eb886/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..c15ecee7bf5e354d617ec388e2a7103cd8a54f4a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4648f676e11eb886/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n  SELECT\n    \"city_development_index\",\n    NTILE(10) OVER (ORDER BY CAST(\"city_development_index\" AS REAL) DESC) AS \"tail_bucket\"\n  FROM \"m9\"\n  WHERE \"city_development_index\" IS NOT NULL\n    AND \"city_development_index\" <> ''\n)\nSELECT \"city_development_index\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"city_development_index\" AS REAL) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n  SELECT\\n    \\\"city_development_index\\\",\\n    NTILE(10) OVER (ORDER BY CAST(\\\"city_development_index\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n  FROM \\\"m9\\\"\\n  WHERE \\\"city_development_index\\\" IS NOT NULL\\n    AND \\\"city_development_index\\\" <> ''\\n)\\nSELECT \\\"city_development_index\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"city_development_index\\\" AS REAL) DESC;\", \"columns\": [\"city_development_index\"], \"rows\": [{\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}, {\"city_development_index\": \"0.9490000000000001\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 34.71}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4648f676e11eb886/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4648f676e11eb886/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..81dd785f1ed8f6037402330460a538be91d4b472
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4648f676e11eb886/run_manifest.json
@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:45:35.407818+00:00",
+  "ended_at": "2026-05-19T15:45:49.426519+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_4648f676e11eb886",
+    "problem_id": "v2p_m9_92dea60cbda1093d",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=city_development_index.",
+    "bindings": {
+      "measure_col": "city_development_index",
+      "top_k": 12,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=8",
+      "sql_variant_index=1/1",
+      "binding_index=67"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 6,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4648f676e11eb886.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_4648f676e11eb886",
+    "api_calls": 0,
+    "input_tokens": 14703,
+    "cached_input_tokens": 12032,
+    "output_tokens": 505,
+    "total_tokens": 15208,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 13979.34,
+    "sql_execution_elapsed_ms_total": 34.71,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4648f676e11eb886/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4648f676e11eb886/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4648f676e11eb886/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..50cb7467fc7316f0bcbb7c3aab136a9a9b6ed147
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4648f676e11eb886/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:45:49.389682+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13979.34, "started_at": "2026-05-19T15:45:35.409500+00:00", "ended_at": "2026-05-19T15:45:49.388860+00:00", "prompt_metrics": {"chars": 9479, "bytes_utf8": 9479, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 744, "bytes_utf8": 744, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14703, "cached_input_tokens": 12032, "output_tokens": 505, "reasoning_output_tokens": 312}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n  SELECT\\n    \\\"city_development_index\\\",\\n    NTILE(10) OVER (ORDER BY CAST(\\\"city_development_index\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n  FROM \\\"m9\\\"\\n  WHERE \\\"city_development_index\\\" IS NOT NULL\\n    AND \\\"city_development_index\\\" <> ''\\n)\\nSELECT \\\"city_development_index\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"city_development_index\\\" AS REAL) DESC;\",\"notes\":\"Used the requested Quantile Tail Slice template with measure_col bound to city_development_index and num_tiles=10. Cast city_development_index to REAL for correct numeric ordering because the SQLite column is stored as TEXT, and excluded blank values from bucket assignment.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4648f676e11eb886/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4648f676e11eb886/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..9f67277f4a52f66c7820e1a8751dd1acc56b83b6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4648f676e11eb886/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_4648f676e11eb886",
+  "api_calls": 0,
+  "input_tokens": 14703,
+  "cached_input_tokens": 12032,
+  "output_tokens": 505,
+  "total_tokens": 15208,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 13979.34,
+  "sql_execution_elapsed_ms_total": 34.71,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4648f676e11eb886/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4e81ee75bd0cd154/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4e81ee75bd0cd154/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..689393fa02278569976dc87ba13d5703eee028d7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4e81ee75bd0cd154/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "STEM", "support": 14492, "support_share": 0.7564463931516859, "support_rank": 1}, {"value_label": "", "support": 2813, "support_share": 0.1468316108153252, "support_rank": 2}, {"value_label": "Humanities", "support": 669, "support_share": 0.034920137801440654, "support_rank": 3}, {"value_label": "Other", "support": 381, "support_share": 0.019887253366739743, "support_rank": 4}, {"value_label": "Business Degree", "support": 327, "support_share": 0.017068587535233323, "support_rank": 5}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4e81ee75bd0cd154/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4e81ee75bd0cd154/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..97a2f87c33209ed504950d7ae53c5c6a1405e516
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4e81ee75bd0cd154/generated_sql.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_m9_4e81ee75bd0cd154
+-- problem_id: v2p_m9_6eb32934bd94abd4
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "major_discipline" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "major_discipline"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4e81ee75bd0cd154/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4e81ee75bd0cd154/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..240bcb6a4829ffbc71ac9e947e3e31545846f928
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4e81ee75bd0cd154/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m9_4e81ee75bd0cd154\n-- problem_id: v2p_m9_6eb32934bd94abd4\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"major_discipline\" AS value_label, COUNT(*) AS support\n    FROM \"m9\"\n    GROUP BY \"major_discipline\"\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m9_4e81ee75bd0cd154\\n-- problem_id: v2p_m9_6eb32934bd94abd4\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"major_discipline\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"major_discipline\\\"\\n)\\nSELECT\\n    value_label,\\n    support,\\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"STEM\", \"support\": 14492, \"support_share\": 0.7564463931516859, \"support_rank\": 1}, {\"value_label\": \"\", \"support\": 2813, \"support_share\": 0.1468316108153252, \"support_rank\": 2}, {\"value_label\": \"Humanities\", \"support\": 669, \"support_share\": 0.034920137801440654, \"support_rank\": 3}, {\"value_label\": \"Other\", \"support\": 381, \"support_share\": 0.019887253366739743, \"support_rank\": 4}, {\"value_label\": \"Business Degree\", \"support\": 327, \"support_share\": 0.017068587535233323, \"support_rank\": 5}, {\"value_label\": \"Arts\", \"support\": 253, \"support_share\": 0.013205971395761561, \"support_rank\": 6}, {\"value_label\": \"No Major\", \"support\": 223, \"support_share\": 0.01164004593381355, \"support_rank\": 7}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.32}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4e81ee75bd0cd154/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4e81ee75bd0cd154/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..cb67e890b40f1f16edfd68574dff38a5b52c87f5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4e81ee75bd0cd154/run_manifest.json
@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.313478+00:00",
+  "ended_at": "2026-05-19T16:08:56.319525+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_4e81ee75bd0cd154",
+    "problem_id": "v2p_m9_6eb32934bd94abd4",
+    "dataset_id": "m9",
+    "template_id": "tpl_cardinality_support_rank_profile",
+    "template_name": "Cardinality Support Rank Profile",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "support_rank_profile_consistency",
+    "intended_facet_id": "value_imbalance_profile",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=major_discipline.",
+    "bindings": {
+      "group_col": "major_discipline"
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;",
+    "notes": [
+      "default_facets=support_concentration,value_imbalance_profile",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=6",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4e81ee75bd0cd154.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4e81ee75bd0cd154/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4e81ee75bd0cd154/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_4e81ee75bd0cd154/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5157bef19897be56/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5157bef19897be56/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..4914329da3984f9817ee1e4dd524b1eb7abb3442
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5157bef19897be56/run_manifest.json
@@ -0,0 +1,60 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.501948+00:00",
+  "ended_at": "2026-05-19T16:08:56.514584+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_5157bef19897be56",
+    "problem_id": "v2p_m9_18318667be0a1a13",
+    "dataset_id": "m9",
+    "template_id": "tpl_cardinality_high_card_response_stability",
+    "template_name": "High-Cardinality Response Stability",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "high_cardinality_response_stability",
+    "intended_facet_id": "target_cardinality_cross_section",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=city_development_index, key_col=training_hours.",
+    "bindings": {
+      "key_col": "training_hours",
+      "measure_col": "city_development_index",
+      "min_support": 5
+    },
+    "binding_roles": [
+      "key_col",
+      "target_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {key_col},\n    COUNT(*) AS support,\n    AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;",
+    "notes": [
+      "default_facets=target_cardinality_cross_section",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=12",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 12,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_5157bef19897be56.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5157bef19897be56/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5157bef19897be56/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5157bef19897be56/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_557d0de19d5251a0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_557d0de19d5251a0/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f2ba989d594e3e018f7b09356d3f95807d594004
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_557d0de19d5251a0/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=company_size, measure_col=city_development_index.
+Result preview: [{"company_size": "10000+", "city_development_index": "0.92", "total_measure": 703.8000000000001, "share_within_group": 41.19429507594137}, {"company_size": "5000-9999", "city_development_index": "0.92", "total_measure": 174.8, "share_within_group": 36.56727814352029}, {"company_size": "1000-4999", "city_development_index": "0.92", "total_measure": 385.48, "share_within_group": 33.86554636613937}, {"company_size": "100-500", "city_development_index": "0.92", "total_measure": 694.6, "share_within_group": 32.35035631500286}, {"company_size": "500-999", "city_development_index": "0.92", "total_measure": 228.16, "share_within_group": 31.086798057075118}] Results were truncated.
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_557d0de19d5251a0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_557d0de19d5251a0/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..3878ac6e770c766d9b03dd9794dd9f0c400b374c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_557d0de19d5251a0/generated_sql.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_557d0de19d5251a0
+-- problem_id: v2p_m9_c949dabb3b97f4b3
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "company_size",
+  "city_development_index",
+  SUM(CAST("city_development_index" AS REAL)) AS total_measure,
+  SUM(CAST("city_development_index" AS REAL)) * 100.0 / SUM(SUM(CAST("city_development_index" AS REAL))) OVER (PARTITION BY "company_size") AS share_within_group
+FROM "m9"
+WHERE "company_size" IS NOT NULL
+  AND "company_size" <> ''
+  AND "city_development_index" IS NOT NULL
+  AND "city_development_index" <> ''
+GROUP BY "company_size", "city_development_index"
+ORDER BY share_within_group DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_557d0de19d5251a0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_557d0de19d5251a0/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b418ec20cab829a7dc5cdf9ffd485ad1e42b340d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_557d0de19d5251a0/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"company_size\",\n  \"city_development_index\",\n  SUM(CAST(\"city_development_index\" AS REAL)) AS total_measure,\n  SUM(CAST(\"city_development_index\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"city_development_index\" AS REAL))) OVER (PARTITION BY \"company_size\") AS share_within_group\nFROM \"m9\"\nWHERE \"company_size\" IS NOT NULL\n  AND \"company_size\" <> ''\n  AND \"city_development_index\" IS NOT NULL\n  AND \"city_development_index\" <> ''\nGROUP BY \"company_size\", \"city_development_index\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"company_size\\\",\\n  \\\"city_development_index\\\",\\n  SUM(CAST(\\\"city_development_index\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"city_development_index\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"city_development_index\\\" AS REAL))) OVER (PARTITION BY \\\"company_size\\\") AS share_within_group\\nFROM \\\"m9\\\"\\nWHERE \\\"company_size\\\" IS NOT NULL\\n  AND \\\"company_size\\\" <> ''\\n  AND \\\"city_development_index\\\" IS NOT NULL\\n  AND \\\"city_development_index\\\" <> ''\\nGROUP BY \\\"company_size\\\", \\\"city_development_index\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"company_size\", \"city_development_index\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"company_size\": \"10000+\", \"city_development_index\": \"0.92\", \"total_measure\": 703.8000000000001, \"share_within_group\": 41.19429507594137}, {\"company_size\": \"5000-9999\", \"city_development_index\": \"0.92\", \"total_measure\": 174.8, \"share_within_group\": 36.56727814352029}, {\"company_size\": \"1000-4999\", \"city_development_index\": \"0.92\", \"total_measure\": 385.48, \"share_within_group\": 33.86554636613937}, {\"company_size\": \"100-500\", \"city_development_index\": \"0.92\", \"total_measure\": 694.6, \"share_within_group\": 32.35035631500286}, {\"company_size\": \"500-999\", \"city_development_index\": \"0.92\", \"total_measure\": 228.16, \"share_within_group\": 31.086798057075118}, {\"company_size\": \"50-99\", \"city_development_index\": \"0.92\", \"total_measure\": 694.6, \"share_within_group\": 27.165665977291287}, {\"company_size\": \"10/49\", \"city_development_index\": \"0.92\", \"total_measure\": 267.72, \"share_within_group\": 22.36055348466993}, {\"company_size\": \"<10\", \"city_development_index\": \"0.92\", \"total_measure\": 210.68, \"share_within_group\": 19.5326189544653}, {\"company_size\": \"10000+\", \"city_development_index\": \"0.624\", \"total_measure\": 221.52, \"share_within_group\": 12.965842917338069}, {\"company_size\": \"10/49\", \"city_development_index\": \"0.624\", \"total_measure\": 147.888, \"share_within_group\": 12.35192564522959}, {\"company_size\": \"50-99\", \"city_development_index\": \"0.624\", \"total_measure\": 276.432, \"share_within_group\": 10.811199794751778}, {\"company_size\": \"500-999\", \"city_development_index\": \"0.624\", \"total_measure\": 78.0, \"share_within_group\": 10.627499335781291}, {\"company_size\": \"10/49\", \"city_development_index\": \"0.9259999999999999\", \"total_measure\": 123.15799999999999, \"share_within_group\": 10.286422553656724}, {\"company_size\": \"5000-9999\", \"city_development_index\": \"0.624\", \"total_measure\": 47.424, \"share_within_group\": 9.920861548502895}, {\"company_size\": \"1000-4999\", \"city_development_index\": \"0.91\", \"total_measure\": 112.84, \"share_within_group\": 9.91332430205242}, {\"company_size\": \"<10\", \"city_development_index\": \"0.624\", \"total_measure\": 104.832, \"share_within_group\": 9.719211649110054}, {\"company_size\": \"100-500\", \"city_development_index\": \"0.624\", \"total_measure\": 205.296, \"share_within_group\": 9.561472430240176}, {\"company_size\": \"50-99\", \"city_development_index\": \"0.91\", \"total_measure\": 242.97, \"share_within_group\": 9.502507720274206}, {\"company_size\": \"10/49\", \"city_development_index\": \"0.91\", \"total_measure\": 113.75, \"share_within_group\": 9.500646043930987}, {\"company_size\": \"50-99\", \"city_development_index\": \"0.9259999999999999\", \"total_measure\": 241.68599999999998, \"share_within_group\": 9.452290739112614}, {\"company_size\": \"10000+\", \"city_development_index\": \"0.91\", \"total_measure\": 159.25, \"share_within_group\": 9.321101862522966}, {\"company_size\": \"500-999\", \"city_development_index\": \"0.9259999999999999\", \"total_measure\": 67.598, \"share_within_group\": 9.210226924360818}, {\"company_size\": \"5000-9999\", \"city_development_index\": \"0.91\", \"total_measure\": 43.68, \"share_within_group\": 9.137635636778983}, {\"company_size\": \"<10\", \"city_development_index\": \"0.91\", \"total_measure\": 98.28, \"share_within_group\": 9.111760921040677}, {\"company_size\": \"500-999\", \"city_development_index\": \"0.91\", \"total_measure\": 64.61, \"share_within_group\": 8.803111949805503}, {\"company_size\": \"<10\", \"city_development_index\": \"0.9259999999999999\", \"total_measure\": 92.6, \"share_within_group\": 8.585155283764415}, {\"company_size\": \"1000-4999\", \"city_development_index\": \"0.9259999999999999\", \"total_measure\": 95.378, \"share_within_group\": 8.379236487780535}, {\"company_size\": \"100-500\", \"city_development_index\": \"0.9259999999999999\", \"total_measure\": 175.94, \"share_within_group\": 8.194243723094734}, {\"company_size\": \"100-500\", \"city_development_index\": \"0.91\", \"total_measure\": 171.99, \"share_within_group\": 8.010276105121426}, {\"company_size\": \"1000-4999\", \"city_development_index\": \"0.624\", \"total_measure\": 86.112, \"share_within_group\": 7.565191264607744}, {\"company_size\": \"5000-9999\", \"city_development_index\": \"0.9259999999999999\", \"total_measure\": 36.114, \"share_within_group\": 7.554866606836908}, {\"company_size\": \"10000+\", \"city_development_index\": \"0.9259999999999999\", \"total_measure\": 124.08399999999999, \"share_within_group\": 7.262791858771113}, {\"company_size\": \"<10\", \"city_development_index\": \"0.897\", \"total_measure\": 51.129, \"share_within_group\": 4.740285145827113}, {\"company_size\": \"5000-9999\", \"city_development_index\": \"0.9390000000000001\", \"total_measure\": 21.597, \"share_within_group\": 4.517983444311257}, {\"company_size\": \"1000-4999\", \"city_development_index\": \"0.9390000000000001\", \"total_measure\": 50.706, \"share_within_group\": 4.454670525167228}, {\"company_size\": \"<10\", \"city_development_index\": \"0.698\", \"total_measure\": 46.068, \"share_within_group\": 4.271068397542755}, {\"company_size\": \"10000+\", \"city_development_index\": \"0.897\", \"total_measure\": 66.378, \"share_within_group\": 3.8851874375544706}, {\"company_size\": \"1000-4999\", \"city_development_index\": \"0.897\", \"total_measure\": 40.365, \"share_within_group\": 3.5461834052848804}, {\"company_size\": \"10000+\", \"city_development_index\": \"0.9390000000000001\", \"total_measure\": 60.096000000000004, \"share_within_group\": 3.517494113219342}, {\"company_size\": \"<10\", \"city_development_index\": \"0.9390000000000001\", \"total_measure\": 37.56, \"share_within_group\": 3.4822724887493672}, {\"company_size\": \"10/49\", \"city_development_index\": \"0.897\", \"total_measure\": 41.262, \"share_within_group\": 3.446291490678509}, {\"company_size\": \"50-99\", \"city_development_index\": \"0.897\", \"total_measure\": 84.318, \"share_within_group\": 3.297659982541386}, {\"company_size\": \"5000-9999\", \"city_development_index\": \"0.897\", \"total_measure\": 15.249, \"share_within_group\": 3.19001386962552}, {\"company_size\": \"500-999\", \"city_development_index\": \"0.9390000000000001\", \"total_measure\": 22.536, \"share_within_group\": 3.0705298080918872}, {\"company_size\": \"10/49\", \"city_development_index\": \"0.9390000000000001\", \"total_measure\": 35.682, \"share_within_group\": 2.9802378210069933}, {\"company_size\": \"10/49\", \"city_development_index\": \"0.698\", \"total_measure\": 35.598, \"share_within_group\": 2.973221959313013}, {\"company_size\": \"500-999\", \"city_development_index\": \"0.897\", \"total_measure\": 21.528, \"share_within_group\": 2.933189816675636}, {\"company_size\": \"50-99\", \"city_development_index\": \"0.9390000000000001\", \"total_measure\": 70.42500000000001, \"share_within_group\": 2.7543075531971484}, {\"company_size\": \"10000+\", \"city_development_index\": \"0.855\", \"total_measure\": 46.17, \"share_within_group\": 2.7023878994831105}, {\"company_size\": \"5000-9999\", \"city_development_index\": \"0.804\", \"total_measure\": 12.864, \"share_within_group\": 2.691083901820624}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 35.07}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_557d0de19d5251a0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_557d0de19d5251a0/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..2d534f1012639c449c4da68c2886ae038c7828e2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_557d0de19d5251a0/run_manifest.json
@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:37:54.882689+00:00",
+  "ended_at": "2026-05-19T15:38:09.513303+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_557d0de19d5251a0",
+    "problem_id": "v2p_m9_c949dabb3b97f4b3",
+    "dataset_id": "m9",
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=company_size, measure_col=city_development_index.",
+    "bindings": {
+      "group_col": "company_size",
+      "measure_col": "city_development_index",
+      "item_col": "city_development_index",
+      "top_k": 11,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=8",
+      "sql_variant_index=1/2",
+      "binding_index=31"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_557d0de19d5251a0.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_557d0de19d5251a0",
+    "api_calls": 0,
+    "input_tokens": 14770,
+    "cached_input_tokens": 12032,
+    "output_tokens": 754,
+    "total_tokens": 15524,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 14588.23,
+    "sql_execution_elapsed_ms_total": 35.07,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_557d0de19d5251a0/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_557d0de19d5251a0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_557d0de19d5251a0/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..9ae1375bd2417a7e79073aaa794ffc4f9f66c7d9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_557d0de19d5251a0/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:38:09.474895+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14588.23, "started_at": "2026-05-19T15:37:54.885071+00:00", "ended_at": "2026-05-19T15:38:09.473335+00:00", "prompt_metrics": {"chars": 9736, "bytes_utf8": 9736, "lines": 266, "estimated_tokens": null}, "response_metrics": {"chars": 942, "bytes_utf8": 942, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14770, "cached_input_tokens": 12032, "output_tokens": 754, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"company_size\\\",\\n  \\\"city_development_index\\\",\\n  SUM(CAST(\\\"city_development_index\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"city_development_index\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"city_development_index\\\" AS REAL))) OVER (PARTITION BY \\\"company_size\\\") AS share_within_group\\nFROM \\\"m9\\\"\\nWHERE \\\"company_size\\\" IS NOT NULL\\n  AND \\\"company_size\\\" <> ''\\n  AND \\\"city_development_index\\\" IS NOT NULL\\n  AND \\\"city_development_index\\\" <> ''\\nGROUP BY \\\"company_size\\\", \\\"city_development_index\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"company_size\\\", item_col=\\\"city_development_index\\\", and measure_col=\\\"city_development_index\\\". Cast the measure from TEXT to REAL for SQLite numeric aggregation and filtered empty/null group and measure values to avoid invalid numeric contributions.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_557d0de19d5251a0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_557d0de19d5251a0/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..aa47104f2c8737fafd9dcb5dc1780a6539e6c6f3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_557d0de19d5251a0/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_557d0de19d5251a0",
+  "api_calls": 0,
+  "input_tokens": 14770,
+  "cached_input_tokens": 12032,
+  "output_tokens": 754,
+  "total_tokens": 15524,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 14588.23,
+  "sql_execution_elapsed_ms_total": 35.07,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_557d0de19d5251a0/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_559d61ebf9e1508e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_559d61ebf9e1508e/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6bfc389c91d68b4ec60024a904bfc25e0f215b81
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_559d61ebf9e1508e/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=experience, group_col_2=company_type.
+Result preview: [{"experience": ">20", "company_type": "Public Sector", "row_count": 185}, {"experience": "5", "company_type": "Public Sector", "row_count": 71}, {"experience": "6", "company_type": "Public Sector", "row_count": 69}, {"experience": "4", "company_type": "Public Sector", "row_count": 64}, {"experience": "10", "company_type": "Public Sector", "row_count": 58}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_559d61ebf9e1508e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_559d61ebf9e1508e/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..f00ccd7e506202d9d3dfa296334f288ca2eec3fe
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_559d61ebf9e1508e/generated_sql.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_m9_559d61ebf9e1508e
+-- problem_id: v2p_m9_77179262aeb5aab2
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "experience", "company_type", COUNT(*) AS row_count
+FROM "m9"
+WHERE "company_type" = 'Public Sector'
+GROUP BY "experience", "company_type"
+ORDER BY row_count DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_559d61ebf9e1508e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_559d61ebf9e1508e/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..cca84239d6fbdc1b0342584018afd251b0c9d4f0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_559d61ebf9e1508e/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"experience\", \"company_type\", COUNT(*) AS row_count\nFROM \"m9\"\nWHERE \"company_type\" = 'Public Sector'\nGROUP BY \"experience\", \"company_type\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"experience\\\", \\\"company_type\\\", COUNT(*) AS row_count\\nFROM \\\"m9\\\"\\nWHERE \\\"company_type\\\" = 'Public Sector'\\nGROUP BY \\\"experience\\\", \\\"company_type\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"experience\", \"company_type\", \"row_count\"], \"rows\": [{\"experience\": \">20\", \"company_type\": \"Public Sector\", \"row_count\": 185}, {\"experience\": \"5\", \"company_type\": \"Public Sector\", \"row_count\": 71}, {\"experience\": \"6\", \"company_type\": \"Public Sector\", \"row_count\": 69}, {\"experience\": \"4\", \"company_type\": \"Public Sector\", \"row_count\": 64}, {\"experience\": \"10\", \"company_type\": \"Public Sector\", \"row_count\": 58}, {\"experience\": \"3\", \"company_type\": \"Public Sector\", \"row_count\": 58}, {\"experience\": \"7\", \"company_type\": \"Public Sector\", \"row_count\": 54}, {\"experience\": \"8\", \"company_type\": \"Public Sector\", \"row_count\": 48}, {\"experience\": \"2\", \"company_type\": \"Public Sector\", \"row_count\": 45}, {\"experience\": \"14\", \"company_type\": \"Public Sector\", \"row_count\": 42}, {\"experience\": \"9\", \"company_type\": \"Public Sector\", \"row_count\": 42}, {\"experience\": \"13\", \"company_type\": \"Public Sector\", \"row_count\": 32}, {\"experience\": \"16\", \"company_type\": \"Public Sector\", \"row_count\": 26}, {\"experience\": \"11\", \"company_type\": \"Public Sector\", \"row_count\": 25}, {\"experience\": \"15\", \"company_type\": \"Public Sector\", \"row_count\": 25}, {\"experience\": \"1\", \"company_type\": \"Public Sector\", \"row_count\": 24}, {\"experience\": \"12\", \"company_type\": \"Public Sector\", \"row_count\": 24}, {\"experience\": \"19\", \"company_type\": \"Public Sector\", \"row_count\": 18}, {\"experience\": \"<1\", \"company_type\": \"Public Sector\", \"row_count\": 14}, {\"experience\": \"18\", \"company_type\": \"Public Sector\", \"row_count\": 13}, {\"experience\": \"17\", \"company_type\": \"Public Sector\", \"row_count\": 10}, {\"experience\": \"20\", \"company_type\": \"Public Sector\", \"row_count\": 6}, {\"experience\": \"\", \"company_type\": \"Public Sector\", \"row_count\": 2}], \"row_count_returned\": 23, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.25}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_559d61ebf9e1508e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_559d61ebf9e1508e/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..dcdc97e69e2d40548c455b2a076ecd2253f9048e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_559d61ebf9e1508e/run_manifest.json
@@ -0,0 +1,93 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:42:48.476772+00:00",
+  "ended_at": "2026-05-19T15:43:07.128146+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_559d61ebf9e1508e",
+    "problem_id": "v2p_m9_77179262aeb5aab2",
+    "dataset_id": "m9",
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=experience, group_col_2=company_type.",
+    "bindings": {
+      "group_col": "experience",
+      "group_col_2": "company_type",
+      "predicate_col": "company_type",
+      "predicate_op": "=",
+      "predicate_value": "Public Sector",
+      "top_k": 12,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=1/1",
+      "binding_index=52"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 5,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_559d61ebf9e1508e.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_559d61ebf9e1508e",
+    "api_calls": 0,
+    "input_tokens": 14737,
+    "cached_input_tokens": 12032,
+    "output_tokens": 331,
+    "total_tokens": 15068,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 18644.09,
+    "sql_execution_elapsed_ms_total": 3.25,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_559d61ebf9e1508e/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_559d61ebf9e1508e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_559d61ebf9e1508e/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..6d6252ddd9ff07b11db3ddcca5cad06f0e126bae
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_559d61ebf9e1508e/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:43:07.123520+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 18644.09, "started_at": "2026-05-19T15:42:48.478529+00:00", "ended_at": "2026-05-19T15:43:07.122646+00:00", "prompt_metrics": {"chars": 9618, "bytes_utf8": 9618, "lines": 268, "estimated_tokens": null}, "response_metrics": {"chars": 395, "bytes_utf8": 395, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14737, "cached_input_tokens": 12032, "output_tokens": 331, "reasoning_output_tokens": 228}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"experience\\\", \\\"company_type\\\", COUNT(*) AS row_count\\nFROM \\\"m9\\\"\\nWHERE \\\"company_type\\\" = 'Public Sector'\\nGROUP BY \\\"experience\\\", \\\"company_type\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned template exactly with group_col=\\\"experience\\\", group_col_2=\\\"company_type\\\", and predicate company_type = 'Public Sector'.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_559d61ebf9e1508e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_559d61ebf9e1508e/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5c4d185b878bdfa15b0d54b8f429f3484cd7c4e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_559d61ebf9e1508e/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_559d61ebf9e1508e",
+  "api_calls": 0,
+  "input_tokens": 14737,
+  "cached_input_tokens": 12032,
+  "output_tokens": 331,
+  "total_tokens": 15068,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 18644.09,
+  "sql_execution_elapsed_ms_total": 3.25,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_559d61ebf9e1508e/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_597b6d9c0b646dbe/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_597b6d9c0b646dbe/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..649e09f0e9bdf24601630a4cba83fa171fae3203
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_597b6d9c0b646dbe/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"city_development_index": "0.92", "total_rows": 5200, "missing_rows": 0, "missing_rate": 0.0}, {"city_development_index": "0.624", "total_rows": 2702, "missing_rows": 0, "missing_rate": 0.0}, {"city_development_index": "0.91", "total_rows": 1533, "missing_rows": 0, "missing_rate": 0.0}, {"city_development_index": "0.9259999999999999", "total_rows": 1336, "missing_rows": 0, "missing_rate": 0.0}, {"city_development_index": "0.698", "total_rows": 683, "missing_rows": 0, "missing_rate": 0.0}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_597b6d9c0b646dbe/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_597b6d9c0b646dbe/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..57d003fd869815a560fe0bbf4eca955d1d832b93
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_597b6d9c0b646dbe/generated_sql.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_rate_by_subgroup
+-- variant_semantic_role: missing_rate_by_subgroup
+-- template_id: tpl_missing_rate_by_subgroup
+-- query_record_id: v2q_m9_597b6d9c0b646dbe
+-- problem_id: v2p_m9_a1e12e39ff4e77d1
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "city_development_index",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "gender" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "gender" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "city_development_index"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_597b6d9c0b646dbe/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_597b6d9c0b646dbe/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..966a736d2bb0a79881193977bf10f29cd9482abf
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_597b6d9c0b646dbe/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_m9_597b6d9c0b646dbe\n-- problem_id: v2p_m9_a1e12e39ff4e77d1\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"city_development_index\",\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"gender\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"gender\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m9\"\nGROUP BY \"city_development_index\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_m9_597b6d9c0b646dbe\\n-- problem_id: v2p_m9_a1e12e39ff4e77d1\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"city_development_index\\\",\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"gender\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"gender\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m9\\\"\\nGROUP BY \\\"city_development_index\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"city_development_index\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"city_development_index\": \"0.92\", \"total_rows\": 5200, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.624\", \"total_rows\": 2702, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.91\", \"total_rows\": 1533, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.9259999999999999\", \"total_rows\": 1336, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.698\", \"total_rows\": 683, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.897\", \"total_rows\": 586, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.9390000000000001\", \"total_rows\": 497, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.855\", \"total_rows\": 431, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.804\", \"total_rows\": 304, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.924\", \"total_rows\": 301, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.754\", \"total_rows\": 280, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.887\", \"total_rows\": 275, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.884\", \"total_rows\": 266, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.55\", \"total_rows\": 247, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.9129999999999999\", \"total_rows\": 197, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.899\", \"total_rows\": 182, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.802\", \"total_rows\": 175, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.925\", \"total_rows\": 171, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.893\", \"total_rows\": 160, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.878\", \"total_rows\": 151, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.743\", \"total_rows\": 146, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.9229999999999999\", \"total_rows\": 143, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.8959999999999999\", \"total_rows\": 140, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.8270000000000001\", \"total_rows\": 137, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.579\", \"total_rows\": 135, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.762\", \"total_rows\": 128, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.767\", \"total_rows\": 128, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.836\", \"total_rows\": 120, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.682\", \"total_rows\": 119, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.6659999999999999\", \"total_rows\": 114, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.89\", \"total_rows\": 113, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.866\", \"total_rows\": 103, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.6890000000000001\", \"total_rows\": 102, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.843\", \"total_rows\": 94, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.915\", \"total_rows\": 94, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.794\", \"total_rows\": 93, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.527\", \"total_rows\": 92, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.895\", \"total_rows\": 86, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.7759999999999999\", \"total_rows\": 82, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.903\", \"total_rows\": 82, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.738\", \"total_rows\": 79, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.9490000000000001\", \"total_rows\": 79, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.5579999999999999\", \"total_rows\": 75, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.74\", \"total_rows\": 67, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.555\", \"total_rows\": 63, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.789\", \"total_rows\": 54, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.727\", \"total_rows\": 53, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.7659999999999999\", \"total_rows\": 49, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.848\", \"total_rows\": 47, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.691\", \"total_rows\": 45, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 9.46}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_597b6d9c0b646dbe/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_597b6d9c0b646dbe/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..aa753a09f5fb999438384f6fa503d38b2e4c42a1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_597b6d9c0b646dbe/run_manifest.json
@@ -0,0 +1,59 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:55.935078+00:00",
+  "ended_at": "2026-05-19T16:08:55.945367+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_597b6d9c0b646dbe",
+    "problem_id": "v2p_m9_a1e12e39ff4e77d1",
+    "dataset_id": "m9",
+    "template_id": "tpl_missing_rate_by_subgroup",
+    "template_name": "Missing Rate by Subgroup",
+    "family_id": "missingness_structure",
+    "canonical_subitem_id": "co_missingness_pattern_consistency",
+    "intended_facet_id": "missing_rate_by_subgroup",
+    "variant_semantic_role": "missing_rate_by_subgroup",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": false,
+    "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=city_development_index, missing_col=gender.",
+    "bindings": {
+      "missing_col": "gender",
+      "group_col": "city_development_index"
+    },
+    "binding_roles": [
+      "missing_col",
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;",
+    "notes": [
+      "default_facets=missing_rate_by_subgroup,missing_target_interaction",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=1",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_597b6d9c0b646dbe.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_597b6d9c0b646dbe/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_597b6d9c0b646dbe/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_597b6d9c0b646dbe/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_59ffdbe430c482fa/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_59ffdbe430c482fa/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a686845942bf8cf8c11b55071b87fc1266d98012
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_59ffdbe430c482fa/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=enrolled_university.
+Result preview: [{"enrolled_university": "", "support": 386}, {"enrolled_university": "Part time course", "support": 1198}, {"enrolled_university": "Full time course", "support": 3757}, {"enrolled_university": "no_enrollment", "support": 13817}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_59ffdbe430c482fa/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_59ffdbe430c482fa/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..ebf81b4de0ebf90aad8196dac410bfcadea8e1bd
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_59ffdbe430c482fa/generated_sql.sql
@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tail_low_support_group_count_v2
+-- query_record_id: v2q_m9_59ffdbe430c482fa
+-- problem_id: v2p_m9_0dda3783c49c7eac
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "enrolled_university",
+  COUNT(*) AS "support"
+FROM "m9"
+GROUP BY "enrolled_university"
+ORDER BY "support" ASC, "enrolled_university"
+LIMIT 13;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_59ffdbe430c482fa/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_59ffdbe430c482fa/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..fb1a3fa530f8aadc4132df0284e27c69687b86fc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_59ffdbe430c482fa/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n  \"enrolled_university\",\n  COUNT(*) AS \"support\"\nFROM \"m9\"\nGROUP BY \"enrolled_university\"\nORDER BY \"support\" ASC, \"enrolled_university\"\nLIMIT 13;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n  \\\"enrolled_university\\\",\\n  COUNT(*) AS \\\"support\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"enrolled_university\\\"\\nORDER BY \\\"support\\\" ASC, \\\"enrolled_university\\\"\\nLIMIT 13;\", \"columns\": [\"enrolled_university\", \"support\"], \"rows\": [{\"enrolled_university\": \"\", \"support\": 386}, {\"enrolled_university\": \"Part time course\", \"support\": 1198}, {\"enrolled_university\": \"Full time course\", \"support\": 3757}, {\"enrolled_university\": \"no_enrollment\", \"support\": 13817}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.37}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_59ffdbe430c482fa/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_59ffdbe430c482fa/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..630abaf99cacc29a29d66d26528f290fcd11fb4d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_59ffdbe430c482fa/run_manifest.json
@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:04:55.934825+00:00",
+  "ended_at": "2026-05-19T16:05:12.147458+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_59ffdbe430c482fa",
+    "problem_id": "v2p_m9_0dda3783c49c7eac",
+    "dataset_id": "m9",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=enrolled_university.",
+    "bindings": {
+      "group_col": "enrolled_university",
+      "top_k": 13,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 25169.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=1/2",
+      "binding_index=123"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_59ffdbe430c482fa.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_59ffdbe430c482fa",
+    "api_calls": 0,
+    "input_tokens": 14658,
+    "cached_input_tokens": 13696,
+    "output_tokens": 604,
+    "total_tokens": 15262,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 15199.53,
+    "sql_execution_elapsed_ms_total": 6.37,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_59ffdbe430c482fa/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_59ffdbe430c482fa/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_59ffdbe430c482fa/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..7ae913d8d84ea4ff41b7c4828c9610eeb561c3cd
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_59ffdbe430c482fa/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:04:58.772841+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2835.23, "started_at": "2026-05-19T16:04:55.936727+00:00", "ended_at": "2026-05-19T16:04:58.771983+00:00", "prompt_metrics": {"chars": 9296, "bytes_utf8": 9296, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-ad07-76d2-a3e7-24a8b9d62f21\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:05:12.139393+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12364.3, "started_at": "2026-05-19T16:04:59.774297+00:00", "ended_at": "2026-05-19T16:05:12.138640+00:00", "prompt_metrics": {"chars": 9296, "bytes_utf8": 9296, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 354, "bytes_utf8": 354, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14658, "cached_input_tokens": 13696, "output_tokens": 604, "reasoning_output_tokens": 500}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n  \\\"enrolled_university\\\",\\n  COUNT(*) AS \\\"support\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"enrolled_university\\\"\\nORDER BY \\\"support\\\" ASC, \\\"enrolled_university\\\"\\nLIMIT 13;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to \\\"enrolled_university\\\" and top_k set to 13.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_59ffdbe430c482fa/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_59ffdbe430c482fa/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..e231c218dd21de14845aade24b965c6ac3efc903
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_59ffdbe430c482fa/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_59ffdbe430c482fa",
+  "api_calls": 0,
+  "input_tokens": 14658,
+  "cached_input_tokens": 13696,
+  "output_tokens": 604,
+  "total_tokens": 15262,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 2,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 15199.53,
+  "sql_execution_elapsed_ms_total": 6.37,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_59ffdbe430c482fa/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5a6c150bef37dcbf/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5a6c150bef37dcbf/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..af20acb9ee948085efa54d81974ed962320573a3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5a6c150bef37dcbf/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=major_discipline, condition_col=company_type.
+Result preview: [{"major_discipline": "", "condition_rate": 0.5862068965517241}, {"major_discipline": "No Major", "condition_rate": 0.3542600896860987}, {"major_discipline": "Other", "condition_rate": 0.35170603674540685}, {"major_discipline": "Arts", "condition_rate": 0.3359683794466403}, {"major_discipline": "Business Degree", "condition_rate": 0.3333333333333333}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5a6c150bef37dcbf/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5a6c150bef37dcbf/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..e8a28408ae90370e0d9d3aaeafc64d9b376d9d8f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5a6c150bef37dcbf/generated_sql.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_5a6c150bef37dcbf
+-- problem_id: v2p_m9_84eae77fd7321a03
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "major_discipline",
+       AVG(CASE WHEN "company_type" = '' THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "m9"
+GROUP BY "major_discipline"
+ORDER BY "condition_rate" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5a6c150bef37dcbf/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5a6c150bef37dcbf/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b97c28bade5b3d88facfdc7afe99f8f53fb70df9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5a6c150bef37dcbf/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"major_discipline\",\n       AVG(CASE WHEN \"company_type\" = '' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m9\"\nGROUP BY \"major_discipline\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"major_discipline\\\",\\n       AVG(CASE WHEN \\\"company_type\\\" = '' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"major_discipline\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"major_discipline\", \"condition_rate\"], \"rows\": [{\"major_discipline\": \"\", \"condition_rate\": 0.5862068965517241}, {\"major_discipline\": \"No Major\", \"condition_rate\": 0.3542600896860987}, {\"major_discipline\": \"Other\", \"condition_rate\": 0.35170603674540685}, {\"major_discipline\": \"Arts\", \"condition_rate\": 0.3359683794466403}, {\"major_discipline\": \"Business Degree\", \"condition_rate\": 0.3333333333333333}, {\"major_discipline\": \"Humanities\", \"condition_rate\": 0.30493273542600896}, {\"major_discipline\": \"STEM\", \"condition_rate\": 0.26773392216395253}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.45}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5a6c150bef37dcbf/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5a6c150bef37dcbf/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..2b5a8c0b7636631850e7f6999c2b167db1673095
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5a6c150bef37dcbf/run_manifest.json
@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:01:12.876256+00:00",
+  "ended_at": "2026-05-19T16:01:30.040652+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_5a6c150bef37dcbf",
+    "problem_id": "v2p_m9_84eae77fd7321a03",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "within_group_proportion",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=major_discipline, condition_col=company_type.",
+    "bindings": {
+      "group_col": "major_discipline",
+      "condition_col": "company_type",
+      "condition_value": "",
+      "positive_value": "Pvt Ltd",
+      "negative_value": "",
+      "top_k": 16,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 88.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=2/2",
+      "binding_index=101"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_5a6c150bef37dcbf.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_5a6c150bef37dcbf",
+    "api_calls": 0,
+    "input_tokens": 14708,
+    "cached_input_tokens": 12032,
+    "output_tokens": 535,
+    "total_tokens": 15243,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 16149.01,
+    "sql_execution_elapsed_ms_total": 8.45,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5a6c150bef37dcbf/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5a6c150bef37dcbf/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5a6c150bef37dcbf/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..eb8f4613215623acdcf4076fc7b084d153d0ca8c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5a6c150bef37dcbf/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:01:15.982646+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3103.24, "started_at": "2026-05-19T16:01:12.878670+00:00", "ended_at": "2026-05-19T16:01:15.981941+00:00", "prompt_metrics": {"chars": 9552, "bytes_utf8": 9552, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f8-45bc-7040-bd9e-6e205018aa95\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:01:30.030728+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13045.77, "started_at": "2026-05-19T16:01:16.984099+00:00", "ended_at": "2026-05-19T16:01:30.029918+00:00", "prompt_metrics": {"chars": 9552, "bytes_utf8": 9552, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 414, "bytes_utf8": 414, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14708, "cached_input_tokens": 12032, "output_tokens": 535, "reasoning_output_tokens": 427}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"major_discipline\\\",\\n       AVG(CASE WHEN \\\"company_type\\\" = '' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"major_discipline\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Computes the within-group proportion of rows with empty \\\"company_type\\\" for each \\\"major_discipline\\\", following the bound Grouped Condition Rate template.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5a6c150bef37dcbf/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5a6c150bef37dcbf/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..4ad46496c9a9eb1e0a7cc538d1eecd5ff38b33c9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5a6c150bef37dcbf/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_5a6c150bef37dcbf",
+  "api_calls": 0,
+  "input_tokens": 14708,
+  "cached_input_tokens": 12032,
+  "output_tokens": 535,
+  "total_tokens": 15243,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 2,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 16149.01,
+  "sql_execution_elapsed_ms_total": 8.45,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5a6c150bef37dcbf/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5d63791d94b36e53/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5d63791d94b36e53/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..28409d75f910d677503a25b59d9b69ac0322e6cf
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5d63791d94b36e53/run_manifest.json
@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:05:48.118286+00:00",
+  "ended_at": "2026-05-19T16:05:56.205711+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_5d63791d94b36e53",
+    "problem_id": "v2p_m9_ae94fc3a507ad725",
+    "dataset_id": "m9",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=major_discipline.",
+    "bindings": {
+      "group_col": "major_discipline",
+      "top_k": 15,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 88.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=2/2",
+      "binding_index=125"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5d63791d94b36e53/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5d63791d94b36e53/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..694573f3cde6be3acd269ad62e377ef44e322187
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_5d63791d94b36e53/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:05:51.451093+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3329.79, "started_at": "2026-05-19T16:05:48.120487+00:00", "ended_at": "2026-05-19T16:05:51.450306+00:00", "prompt_metrics": {"chars": 9288, "bytes_utf8": 9288, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-78d0-76d0-911e-09c951f523a7\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:05:56.205617+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3752.17, "started_at": "2026-05-19T16:05:52.452527+00:00", "ended_at": "2026-05-19T16:05:56.204737+00:00", "prompt_metrics": {"chars": 9288, "bytes_utf8": 9288, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-89da-7a11-948b-aa43bf431262\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_614c360713973227/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_614c360713973227/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..5e01290cce0d83a001bd525e8979d15c49db38f8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_614c360713973227/run_manifest.json
@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:41.538833+00:00",
+  "ended_at": "2026-05-19T16:08:48.593302+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_614c360713973227",
+    "problem_id": "v2p_m9_af39a29babc2b85b",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=company_size, measure_col=city_development_index.",
+    "bindings": {
+      "group_col": "company_size",
+      "measure_col": "city_development_index",
+      "top_k": 14,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=8",
+      "sql_variant_index=1/2",
+      "binding_index=139"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_614c360713973227/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_614c360713973227/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..af7cedb2e2cbe9ffb2851ecd2d6b07fb73bd1672
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_614c360713973227/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:08:44.351512+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2809.74, "started_at": "2026-05-19T16:08:41.541005+00:00", "ended_at": "2026-05-19T16:08:44.350768+00:00", "prompt_metrics": {"chars": 9398, "bytes_utf8": 9398, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-1e63-7a93-9249-c181aa301799\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:08:48.593204+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3239.37, "started_at": "2026-05-19T16:08:45.353004+00:00", "ended_at": "2026-05-19T16:08:48.592425+00:00", "prompt_metrics": {"chars": 9398, "bytes_utf8": 9398, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-2d32-7832-b964-a5eb2f3bd851\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_632ae20f9a8d55ae/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_632ae20f9a8d55ae/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ce7115964d4a0cca51a92c048b03420a03596a9d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_632ae20f9a8d55ae/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=enrolled_university, condition_col=education_level.
+Result preview: [{"enrolled_university": "no_enrollment", "condition_rate": 0.2567127451689947}, {"enrolled_university": "Part time course", "condition_rate": 0.17028380634390652}, {"enrolled_university": "Full time course", "condition_rate": 0.1482565877029545}, {"enrolled_university": "", "condition_rate": 0.13730569948186527}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_632ae20f9a8d55ae/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_632ae20f9a8d55ae/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..ffd5dab3a8ec1f6a80e30c7eb41c7834e2a72e6e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_632ae20f9a8d55ae/generated_sql.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_632ae20f9a8d55ae
+-- problem_id: v2p_m9_723a00dfb1991273
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "enrolled_university",
+       AVG(CASE WHEN "education_level" = 'Masters' THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "m9"
+GROUP BY "enrolled_university"
+ORDER BY "condition_rate" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_632ae20f9a8d55ae/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_632ae20f9a8d55ae/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..1e242e1b46c40ad81dd1c312616b8ceec82089a4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_632ae20f9a8d55ae/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"enrolled_university\",\n       AVG(CASE WHEN \"education_level\" = 'Masters' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m9\"\nGROUP BY \"enrolled_university\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"enrolled_university\\\",\\n       AVG(CASE WHEN \\\"education_level\\\" = 'Masters' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"enrolled_university\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"enrolled_university\", \"condition_rate\"], \"rows\": [{\"enrolled_university\": \"no_enrollment\", \"condition_rate\": 0.2567127451689947}, {\"enrolled_university\": \"Part time course\", \"condition_rate\": 0.17028380634390652}, {\"enrolled_university\": \"Full time course\", \"condition_rate\": 0.1482565877029545}, {\"enrolled_university\": \"\", \"condition_rate\": 0.13730569948186527}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 19.5}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_632ae20f9a8d55ae/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_632ae20f9a8d55ae/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..21d249824215b03cc115930602ddb8029c42f012
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_632ae20f9a8d55ae/run_manifest.json
@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:00:31.039213+00:00",
+  "ended_at": "2026-05-19T16:00:41.405900+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_632ae20f9a8d55ae",
+    "problem_id": "v2p_m9_723a00dfb1991273",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "within_group_proportion",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=enrolled_university, condition_col=education_level.",
+    "bindings": {
+      "group_col": "enrolled_university",
+      "condition_col": "education_level",
+      "condition_value": "Masters",
+      "positive_value": "Graduate",
+      "negative_value": "Masters",
+      "top_k": 19,
+      "top_n": 7,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 25169.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=2/2",
+      "binding_index=99"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_632ae20f9a8d55ae.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_632ae20f9a8d55ae",
+    "api_calls": 0,
+    "input_tokens": 14712,
+    "cached_input_tokens": 12032,
+    "output_tokens": 404,
+    "total_tokens": 15116,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 10340.89,
+    "sql_execution_elapsed_ms_total": 19.5,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_632ae20f9a8d55ae/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_632ae20f9a8d55ae/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_632ae20f9a8d55ae/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..82874b608ba9f45a03b87432e212047d98344862
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_632ae20f9a8d55ae/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:00:41.383433+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10340.89, "started_at": "2026-05-19T16:00:31.040908+00:00", "ended_at": "2026-05-19T16:00:41.381837+00:00", "prompt_metrics": {"chars": 9583, "bytes_utf8": 9583, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 438, "bytes_utf8": 438, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14712, "cached_input_tokens": 12032, "output_tokens": 404, "reasoning_output_tokens": 292}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"enrolled_university\\\",\\n       AVG(CASE WHEN \\\"education_level\\\" = 'Masters' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"enrolled_university\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the grouped condition rate template exactly as planned: for each enrolled_university group, computes the proportion of rows where education_level is 'Masters'.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_632ae20f9a8d55ae/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_632ae20f9a8d55ae/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..52578411dd7e985dbdf26101b7ba8f06ac25efc7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_632ae20f9a8d55ae/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_632ae20f9a8d55ae",
+  "api_calls": 0,
+  "input_tokens": 14712,
+  "cached_input_tokens": 12032,
+  "output_tokens": 404,
+  "total_tokens": 15116,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 10340.89,
+  "sql_execution_elapsed_ms_total": 19.5,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_632ae20f9a8d55ae/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_63df68013b6c9c7e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_63df68013b6c9c7e/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..9eb8c401c7ce34d502585d7610914b18d6462a90
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_63df68013b6c9c7e/run_manifest.json
@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:06:58.274604+00:00",
+  "ended_at": "2026-05-19T16:07:05.980422+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_63df68013b6c9c7e",
+    "problem_id": "v2p_m9_4150398b472efe4b",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "filtered_stable_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=gender, measure_col=city_development_index.",
+    "bindings": {
+      "group_col": "gender",
+      "measure_col": "city_development_index",
+      "top_k": 18,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=2",
+      "sql_variant_index=2/2",
+      "binding_index=133"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "problem_index_within_template": 2,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_63df68013b6c9c7e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_63df68013b6c9c7e/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..8f802cfe6e8325a57d6521a6a4a5807f9c7349c8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_63df68013b6c9c7e/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:07:01.631982+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3354.48, "started_at": "2026-05-19T16:06:58.276760+00:00", "ended_at": "2026-05-19T16:07:01.631261+00:00", "prompt_metrics": {"chars": 9391, "bytes_utf8": 9391, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-8ad0-7531-9b95-ae6d008a4ce4\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:07:05.980298+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3346.41, "started_at": "2026-05-19T16:07:02.632849+00:00", "ended_at": "2026-05-19T16:07:05.979293+00:00", "prompt_metrics": {"chars": 9391, "bytes_utf8": 9391, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-9c00-72d0-822d-06bb5788a8e6\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6909d77828375a90/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6909d77828375a90/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..570fdc77c4bed737ff574eae5d24a6ac87f29e89
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6909d77828375a90/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "0.0", "support": 14381, "support_share": 0.7506524689424784, "cumulative_support": 14381}, {"value_label": "1.0", "support": 4777, "support_share": 0.24934753105752167, "cumulative_support": 19158}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6909d77828375a90/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6909d77828375a90/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..972ded21b2e582fb19c95cc413eb8b671dd70064
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6909d77828375a90/generated_sql.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_cardinality_distinct_share_profile
+-- query_record_id: v2q_m9_6909d77828375a90
+-- problem_id: v2p_m9_1b2de87f603040cf
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "target" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "target"
+), ranked AS (
+    SELECT
+        value_label,
+        support,
+        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
+    FROM grouped
+)
+SELECT *
+FROM ranked
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6909d77828375a90/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6909d77828375a90/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..f074ea0c3cf0546f20748502efebf9f03a0e31e5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6909d77828375a90/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m9_6909d77828375a90\n-- problem_id: v2p_m9_1b2de87f603040cf\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"target\" AS value_label, COUNT(*) AS support\n    FROM \"m9\"\n    GROUP BY \"target\"\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m9_6909d77828375a90\\n-- problem_id: v2p_m9_1b2de87f603040cf\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"target\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"target\\\"\\n), ranked AS (\\n    SELECT\\n        value_label,\\n        support,\\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n    FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"0.0\", \"support\": 14381, \"support_share\": 0.7506524689424784, \"cumulative_support\": 14381}, {\"value_label\": \"1.0\", \"support\": 4777, \"support_share\": 0.24934753105752167, \"cumulative_support\": 19158}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.7}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6909d77828375a90/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6909d77828375a90/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..47bb3a8bd7a4ec28af01e4dae06082d42c5ce997
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6909d77828375a90/run_manifest.json
@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.264030+00:00",
+  "ended_at": "2026-05-19T16:08:56.270462+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_6909d77828375a90",
+    "problem_id": "v2p_m9_1b2de87f603040cf",
+    "dataset_id": "m9",
+    "template_id": "tpl_cardinality_distinct_share_profile",
+    "template_name": "Cardinality Distinct Share Profile",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "support_rank_profile_consistency",
+    "intended_facet_id": "value_imbalance_profile",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=target.",
+    "bindings": {
+      "group_col": "target"
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;",
+    "notes": [
+      "default_facets=support_concentration,value_imbalance_profile",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=12",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 12,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_6909d77828375a90.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6909d77828375a90/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6909d77828375a90/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6909d77828375a90/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6c2ddb39431f1a3e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6c2ddb39431f1a3e/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8e364037ca742b78e972d8c473ce30837f8caad3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6c2ddb39431f1a3e/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"major_discipline": "STEM", "total_rows": 14492, "missing_rows": 0, "missing_rate": 0.0}, {"major_discipline": "", "total_rows": 2813, "missing_rows": 0, "missing_rate": 0.0}, {"major_discipline": "Humanities", "total_rows": 669, "missing_rows": 0, "missing_rate": 0.0}, {"major_discipline": "Other", "total_rows": 381, "missing_rows": 0, "missing_rate": 0.0}, {"major_discipline": "Business Degree", "total_rows": 327, "missing_rows": 0, "missing_rate": 0.0}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6c2ddb39431f1a3e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6c2ddb39431f1a3e/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..f125dd4c760b239380ac801bd45d21fecd531f3f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6c2ddb39431f1a3e/generated_sql.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m9_6c2ddb39431f1a3e
+-- problem_id: v2p_m9_9df64801abc33a62
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "major_discipline",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "experience" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "experience" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "major_discipline"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6c2ddb39431f1a3e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6c2ddb39431f1a3e/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..fd9db03fb543fd1dd85278aa818bf4ea17a0b600
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6c2ddb39431f1a3e/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_m9_6c2ddb39431f1a3e\n-- problem_id: v2p_m9_9df64801abc33a62\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"major_discipline\",\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"experience\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"experience\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m9\"\nGROUP BY \"major_discipline\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_m9_6c2ddb39431f1a3e\\n-- problem_id: v2p_m9_9df64801abc33a62\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"major_discipline\\\",\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"experience\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"experience\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m9\\\"\\nGROUP BY \\\"major_discipline\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"major_discipline\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"major_discipline\": \"STEM\", \"total_rows\": 14492, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"major_discipline\": \"\", \"total_rows\": 2813, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"major_discipline\": \"Humanities\", \"total_rows\": 669, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"major_discipline\": \"Other\", \"total_rows\": 381, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"major_discipline\": \"Business Degree\", \"total_rows\": 327, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"major_discipline\": \"Arts\", \"total_rows\": 253, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"major_discipline\": \"No Major\", \"total_rows\": 223, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.88}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6c2ddb39431f1a3e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6c2ddb39431f1a3e/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..3f201e0ea2e32edbfed09a346281ece431faab67
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6c2ddb39431f1a3e/run_manifest.json
@@ -0,0 +1,59 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.126506+00:00",
+  "ended_at": "2026-05-19T16:08:56.135172+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_6c2ddb39431f1a3e",
+    "problem_id": "v2p_m9_9df64801abc33a62",
+    "dataset_id": "m9",
+    "template_id": "tpl_missing_target_interaction",
+    "template_name": "Missingness-Target Interaction",
+    "family_id": "missingness_structure",
+    "canonical_subitem_id": "co_missingness_pattern_consistency",
+    "intended_facet_id": "missing_target_interaction",
+    "variant_semantic_role": "missing_target_interaction",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": false,
+    "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=major_discipline, missing_col=experience.",
+    "bindings": {
+      "missing_col": "experience",
+      "target_col": "major_discipline"
+    },
+    "binding_roles": [
+      "missing_col",
+      "target_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {target_col},\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;",
+    "notes": [
+      "default_facets=missing_rate_by_subgroup,missing_target_interaction",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=8",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_6c2ddb39431f1a3e.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6c2ddb39431f1a3e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6c2ddb39431f1a3e/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6c2ddb39431f1a3e/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6cf5e89b29502c24/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6cf5e89b29502c24/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b7ebc7f5f83951675bbec03cd557ff3319c9245
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6cf5e89b29502c24/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=relevent_experience, condition_col=enrolled_university.
+Result preview: [{"relevent_experience": "No relevent experience", "condition_rate": 0.43104733507267984}, {"relevent_experience": "Has relevent experience", "condition_rate": 0.10469837587006961}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6cf5e89b29502c24/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6cf5e89b29502c24/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..f7e192b9cef5deb4ffa1cd18ae694bd39ab7b187
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6cf5e89b29502c24/generated_sql.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_6cf5e89b29502c24
+-- problem_id: v2p_m9_64a9d9cdae909d9a
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "relevent_experience",
+       AVG(CASE WHEN "enrolled_university" = 'Full time course' THEN 1 ELSE 0 END) AS condition_rate
+FROM "m9"
+GROUP BY "relevent_experience"
+ORDER BY condition_rate DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6cf5e89b29502c24/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6cf5e89b29502c24/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..3588d4ee2046ff7bdf94ee782d991f4f8dfce3f9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6cf5e89b29502c24/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"relevent_experience\",\n       AVG(CASE WHEN \"enrolled_university\" = 'Full time course' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m9\"\nGROUP BY \"relevent_experience\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"relevent_experience\\\",\\n       AVG(CASE WHEN \\\"enrolled_university\\\" = 'Full time course' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m9\\\"\\nGROUP BY \\\"relevent_experience\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"relevent_experience\", \"condition_rate\"], \"rows\": [{\"relevent_experience\": \"No relevent experience\", \"condition_rate\": 0.43104733507267984}, {\"relevent_experience\": \"Has relevent experience\", \"condition_rate\": 0.10469837587006961}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 17.9}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6cf5e89b29502c24/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6cf5e89b29502c24/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..d371f52ddc96e46ca234e7e2a837cf720d7510b8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6cf5e89b29502c24/run_manifest.json
@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:00:09.149862+00:00",
+  "ended_at": "2026-05-19T16:00:22.496956+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_6cf5e89b29502c24",
+    "problem_id": "v2p_m9_64a9d9cdae909d9a",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=relevent_experience, condition_col=enrolled_university.",
+    "bindings": {
+      "group_col": "relevent_experience",
+      "condition_col": "enrolled_university",
+      "condition_value": "Full time course",
+      "positive_value": "no_enrollment",
+      "negative_value": "Full time course",
+      "top_k": 18,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 88.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=2/2",
+      "binding_index=98"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 3,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_6cf5e89b29502c24.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_6cf5e89b29502c24",
+    "api_calls": 0,
+    "input_tokens": 14721,
+    "cached_input_tokens": 12032,
+    "output_tokens": 213,
+    "total_tokens": 14934,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 12320.0,
+    "sql_execution_elapsed_ms_total": 17.9,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6cf5e89b29502c24/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6cf5e89b29502c24/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6cf5e89b29502c24/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..60f50192c9f0299288789dc525a982dcf13a63ef
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6cf5e89b29502c24/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:00:13.539209+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 4386.63, "started_at": "2026-05-19T16:00:09.151756+00:00", "ended_at": "2026-05-19T16:00:13.538414+00:00", "prompt_metrics": {"chars": 9614, "bytes_utf8": 9614, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f7-4cc6-7df0-bcf8-ca4534d4c862\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:00:22.475323+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7933.37, "started_at": "2026-05-19T16:00:14.540291+00:00", "ended_at": "2026-05-19T16:00:22.473699+00:00", "prompt_metrics": {"chars": 9614, "bytes_utf8": 9614, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 524, "bytes_utf8": 524, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14721, "cached_input_tokens": 12032, "output_tokens": 213, "reasoning_output_tokens": 79}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"relevent_experience\\\",\\n       AVG(CASE WHEN \\\"enrolled_university\\\" = 'Full time course' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m9\\\"\\nGROUP BY \\\"relevent_experience\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the planned Grouped Condition Rate template with group_col=\\\"relevent_experience\\\" and condition_col=\\\"enrolled_university\\\", measuring the share of rows where enrolled_university is 'Full time course' within each relevent_experience group.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6cf5e89b29502c24/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6cf5e89b29502c24/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..17a5db807c76ae85150bf8682b2f2bcfba42d15f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6cf5e89b29502c24/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_6cf5e89b29502c24",
+  "api_calls": 0,
+  "input_tokens": 14721,
+  "cached_input_tokens": 12032,
+  "output_tokens": 213,
+  "total_tokens": 14934,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 2,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 12320.0,
+  "sql_execution_elapsed_ms_total": 17.9,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6cf5e89b29502c24/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6d398c56a4001f93/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6d398c56a4001f93/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..36da9bb82fdc18b8491654adff8c865568c8ca16
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6d398c56a4001f93/run_manifest.json
@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:05:19.859052+00:00",
+  "ended_at": "2026-05-19T16:05:27.823271+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_6d398c56a4001f93",
+    "problem_id": "v2p_m9_61e09926c4288821",
+    "dataset_id": "m9",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=education_level.",
+    "bindings": {
+      "group_col": "education_level",
+      "top_k": 14,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=1/2",
+      "binding_index=124"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6d398c56a4001f93/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6d398c56a4001f93/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..6a44edea2d05673988f7b17a23a91ca064e01438
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_6d398c56a4001f93/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:05:23.605889+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3743.66, "started_at": "2026-05-19T16:05:19.861400+00:00", "ended_at": "2026-05-19T16:05:23.605088+00:00", "prompt_metrics": {"chars": 9284, "bytes_utf8": 9284, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-0a92-7ad0-b62c-9d734a68d272\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:05:27.823185+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3215.7, "started_at": "2026-05-19T16:05:24.606722+00:00", "ended_at": "2026-05-19T16:05:27.822454+00:00", "prompt_metrics": {"chars": 9284, "bytes_utf8": 9284, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-1d0d-7ca2-8dc8-fcb36f881db6\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_723cc72387b35247/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_723cc72387b35247/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b88dba1bc1f9621b04ebfc4f122966983673634e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_723cc72387b35247/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=city_development_index, measure_col=enrollee_id.
+Result preview: [{"city_development_index": "0.92", "group_value": 5200}, {"city_development_index": "0.624", "group_value": 2702}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_723cc72387b35247/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_723cc72387b35247/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..5ad741201c50971ed6f69566e9e3b611bc87f592
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_723cc72387b35247/generated_sql.sql
@@ -0,0 +1,31 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_723cc72387b35247
+-- problem_id: v2p_m9_fa6df41823470de6
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+    SELECT
+        "city_development_index",
+        COUNT("enrollee_id") AS "group_value"
+    FROM "m9"
+    GROUP BY "city_development_index"
+),
+"total" AS (
+    SELECT SUM("group_value") AS "total_value"
+    FROM "grouped"
+)
+SELECT
+    g."city_development_index",
+    g."group_value"
+FROM "grouped" AS g
+CROSS JOIN "total" AS t
+WHERE g."group_value" > t."total_value" * 0.1
+ORDER BY g."group_value" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_723cc72387b35247/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_723cc72387b35247/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b208c8016c39f69018216e1239d15ee3b2bb8936
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_723cc72387b35247/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n    SELECT\n        \"city_development_index\",\n        COUNT(\"enrollee_id\") AS \"group_value\"\n    FROM \"m9\"\n    GROUP BY \"city_development_index\"\n),\n\"total\" AS (\n    SELECT SUM(\"group_value\") AS \"total_value\"\n    FROM \"grouped\"\n)\nSELECT\n    g.\"city_development_index\",\n    g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n    SELECT\\n        \\\"city_development_index\\\",\\n        COUNT(\\\"enrollee_id\\\") AS \\\"group_value\\\"\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"city_development_index\\\"\\n),\\n\\\"total\\\" AS (\\n    SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n    FROM \\\"grouped\\\"\\n)\\nSELECT\\n    g.\\\"city_development_index\\\",\\n    g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"city_development_index\", \"group_value\"], \"rows\": [{\"city_development_index\": \"0.92\", \"group_value\": 5200}, {\"city_development_index\": \"0.624\", \"group_value\": 2702}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 15.49}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_723cc72387b35247/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_723cc72387b35247/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..b198b41b6b79be9fe68b0fef55c46b1be6035314
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_723cc72387b35247/run_manifest.json
@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:45:49.427237+00:00",
+  "ended_at": "2026-05-19T15:46:04.159192+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_723cc72387b35247",
+    "problem_id": "v2p_m9_fa6df41823470de6",
+    "dataset_id": "m9",
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=city_development_index, measure_col=enrollee_id.",
+    "bindings": {
+      "group_col": "city_development_index",
+      "measure_col": "enrollee_id",
+      "top_k": 12,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 25169.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=1",
+      "sql_variant_index=1/2",
+      "binding_index=72"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_723cc72387b35247.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_723cc72387b35247",
+    "api_calls": 0,
+    "input_tokens": 14790,
+    "cached_input_tokens": 13696,
+    "output_tokens": 746,
+    "total_tokens": 15536,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 14710.05,
+    "sql_execution_elapsed_ms_total": 15.49,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_723cc72387b35247/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_723cc72387b35247/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_723cc72387b35247/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..6cf7aa704925f9a84f80d1deed7ca3fe7ca5ceb4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_723cc72387b35247/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:46:04.141270+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14710.05, "started_at": "2026-05-19T15:45:49.429857+00:00", "ended_at": "2026-05-19T15:46:04.139947+00:00", "prompt_metrics": {"chars": 9873, "bytes_utf8": 9873, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 849, "bytes_utf8": 849, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14790, "cached_input_tokens": 13696, "output_tokens": 746, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n    SELECT\\n        \\\"city_development_index\\\",\\n        COUNT(\\\"enrollee_id\\\") AS \\\"group_value\\\"\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"city_development_index\\\"\\n),\\n\\\"total\\\" AS (\\n    SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n    FROM \\\"grouped\\\"\\n)\\nSELECT\\n    g.\\\"city_development_index\\\",\\n    g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the requested Relative-to-Total Extreme Threshold template with group_col=\\\"city_development_index\\\". Because the semantic role is count_distribution and \\\"enrollee_id\\\" is an identifier-like text column, the measure was implemented as COUNT(\\\"enrollee_id\\\") rather than SUM(\\\"enrollee_id\\\").\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_723cc72387b35247/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_723cc72387b35247/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..ea7037f715bac40e5db4883ffdb0250780035285
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_723cc72387b35247/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_723cc72387b35247",
+  "api_calls": 0,
+  "input_tokens": 14790,
+  "cached_input_tokens": 13696,
+  "output_tokens": 746,
+  "total_tokens": 15536,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 14710.05,
+  "sql_execution_elapsed_ms_total": 15.49,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_723cc72387b35247/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_743cc92f9aa7631e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_743cc92f9aa7631e/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b13469284d135a9a0400de8aea0e7ba716e0a523
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_743cc92f9aa7631e/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=relevent_experience, measure_col=training_hours.
+Result preview: [{"relevent_experience": "Has relevent experience", "total_measure": 907516.0}, {"relevent_experience": "No relevent experience", "total_measure": 344783.0}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_743cc92f9aa7631e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_743cc92f9aa7631e/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..656fcb6bfdbddaaf717562a9b109ed793f15969d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_743cc92f9aa7631e/generated_sql.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_conditional_contrast
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m9_743cc92f9aa7631e
+-- problem_id: v2p_m9_5c387c17c43a68fe
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "relevent_experience", SUM(CAST(NULLIF("training_hours", '') AS REAL)) AS "total_measure"
+FROM "m9"
+GROUP BY "relevent_experience"
+ORDER BY "total_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_743cc92f9aa7631e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_743cc92f9aa7631e/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..7c7eae36073b988fe94f65664be83cac34368646
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_743cc92f9aa7631e/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"relevent_experience\", SUM(CAST(NULLIF(\"training_hours\", '') AS REAL)) AS \"total_measure\"\nFROM \"m9\"\nGROUP BY \"relevent_experience\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"relevent_experience\\\", SUM(CAST(NULLIF(\\\"training_hours\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"relevent_experience\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"relevent_experience\", \"total_measure\"], \"rows\": [{\"relevent_experience\": \"Has relevent experience\", \"total_measure\": 907516.0}, {\"relevent_experience\": \"No relevent experience\", \"total_measure\": 344783.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 12.1}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_743cc92f9aa7631e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_743cc92f9aa7631e/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..750cad49484dccf79cadf2af6edf34e3819868cf
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_743cc92f9aa7631e/run_manifest.json
@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:29:06.289467+00:00",
+  "ended_at": "2026-05-19T15:29:16.557380+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_743cc92f9aa7631e",
+    "problem_id": "v2p_m9_5c387c17c43a68fe",
+    "dataset_id": "m9",
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "internal_profile_stability",
+    "intended_facet_id": "subgroup_conditional_contrast",
+    "variant_semantic_role": "collapsed_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=relevent_experience, measure_col=training_hours.",
+    "bindings": {
+      "group_col": "relevent_experience",
+      "measure_col": "training_hours",
+      "top_k": 12,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 88.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=1/2",
+      "binding_index=2"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 1,
+    "problem_index_within_template": 3,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_743cc92f9aa7631e.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_743cc92f9aa7631e",
+    "api_calls": 0,
+    "input_tokens": 14651,
+    "cached_input_tokens": 12032,
+    "output_tokens": 434,
+    "total_tokens": 15085,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 10250.5,
+    "sql_execution_elapsed_ms_total": 12.1,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_743cc92f9aa7631e/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_743cc92f9aa7631e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_743cc92f9aa7631e/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..94e2504c08a11ff23a4d442b9f594ab3eeaa96a3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_743cc92f9aa7631e/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:29:16.543347+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10250.5, "started_at": "2026-05-19T15:29:06.291813+00:00", "ended_at": "2026-05-19T15:29:16.542345+00:00", "prompt_metrics": {"chars": 9315, "bytes_utf8": 9315, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 438, "bytes_utf8": 438, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14651, "cached_input_tokens": 12032, "output_tokens": 434, "reasoning_output_tokens": 311}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"relevent_experience\\\", SUM(CAST(NULLIF(\\\"training_hours\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"relevent_experience\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied tpl_h2o_group_sum with \\\"relevent_experience\\\" as the grouping column. \\\"training_hours\\\" is stored as TEXT, so it is cast to REAL for SQLite summation, and empty strings are treated as NULL.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_743cc92f9aa7631e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_743cc92f9aa7631e/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..953afd05131e645900c8f63aeba934716f5ed6d5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_743cc92f9aa7631e/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_743cc92f9aa7631e",
+  "api_calls": 0,
+  "input_tokens": 14651,
+  "cached_input_tokens": 12032,
+  "output_tokens": 434,
+  "total_tokens": 15085,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 10250.5,
+  "sql_execution_elapsed_ms_total": 12.1,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_743cc92f9aa7631e/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_75532169ae8284db/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_75532169ae8284db/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..d45789de98e661e83ed5994a15fd5f11539a3421
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_75532169ae8284db/run_manifest.json
@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:06:24.441392+00:00",
+  "ended_at": "2026-05-19T16:06:31.516860+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_75532169ae8284db",
+    "problem_id": "v2p_m9_64bb4e435d933c50",
+    "dataset_id": "m9",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=company_size.",
+    "bindings": {
+      "group_col": "company_size",
+      "top_k": 17,
+      "top_n": 7,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=8",
+      "sql_variant_index=2/2",
+      "binding_index=127"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_75532169ae8284db/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_75532169ae8284db/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..869b4e64334bab74d00cb728707b771350ad8bf2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_75532169ae8284db/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:06:27.448129+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3003.71, "started_at": "2026-05-19T16:06:24.443629+00:00", "ended_at": "2026-05-19T16:06:27.447372+00:00", "prompt_metrics": {"chars": 9280, "bytes_utf8": 9280, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-06ad-7c62-8bfb-fd34d4cf0cf3\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:06:31.516768+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3066.33, "started_at": "2026-05-19T16:06:28.449593+00:00", "ended_at": "2026-05-19T16:06:31.515963+00:00", "prompt_metrics": {"chars": 9280, "bytes_utf8": 9280, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-1660-7401-912c-019d6953ebd2\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_79a68ff2ed0f5dab/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_79a68ff2ed0f5dab/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..320368896bb51de2e2709f9774b442fc8aaa44fd
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_79a68ff2ed0f5dab/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=company_size, measure_col=city_development_index.
+Result preview: [{"company_size": "", "group_value": 4840.433}, {"company_size": "50-99", "group_value": 2556.904}, {"company_size": "100-500", "group_value": 2147.117}, {"company_size": "10000+", "group_value": 1708.489}, {"company_size": "10/49", "group_value": 1197.287}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_79a68ff2ed0f5dab/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_79a68ff2ed0f5dab/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..d6bcea7220e0bcf3fe3a34d50643e24f790e309c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_79a68ff2ed0f5dab/generated_sql.sql
@@ -0,0 +1,31 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_79a68ff2ed0f5dab
+-- problem_id: v2p_m9_4f31cb710e439d9f
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+  SELECT
+    "company_size",
+    SUM(CAST(NULLIF("city_development_index", '') AS REAL)) AS "group_value"
+  FROM "m9"
+  GROUP BY "company_size"
+),
+"total" AS (
+  SELECT SUM("group_value") AS "total_value"
+  FROM "grouped"
+)
+SELECT
+  g."company_size",
+  g."group_value"
+FROM "grouped" AS g
+CROSS JOIN "total" AS t
+WHERE g."group_value" > t."total_value" * 0.05
+ORDER BY g."group_value" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_79a68ff2ed0f5dab/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_79a68ff2ed0f5dab/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..3f19052dbfee11c519e481be8b9d033c6d5d5906
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_79a68ff2ed0f5dab/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n  SELECT\n    \"company_size\",\n    SUM(CAST(NULLIF(\"city_development_index\", '') AS REAL)) AS \"group_value\"\n  FROM \"m9\"\n  GROUP BY \"company_size\"\n),\n\"total\" AS (\n  SELECT SUM(\"group_value\") AS \"total_value\"\n  FROM \"grouped\"\n)\nSELECT\n  g.\"company_size\",\n  g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n  SELECT\\n    \\\"company_size\\\",\\n    SUM(CAST(NULLIF(\\\"city_development_index\\\", '') AS REAL)) AS \\\"group_value\\\"\\n  FROM \\\"m9\\\"\\n  GROUP BY \\\"company_size\\\"\\n),\\n\\\"total\\\" AS (\\n  SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n  FROM \\\"grouped\\\"\\n)\\nSELECT\\n  g.\\\"company_size\\\",\\n  g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"company_size\", \"group_value\"], \"rows\": [{\"company_size\": \"\", \"group_value\": 4840.433}, {\"company_size\": \"50-99\", \"group_value\": 2556.904}, {\"company_size\": \"100-500\", \"group_value\": 2147.117}, {\"company_size\": \"10000+\", \"group_value\": 1708.489}, {\"company_size\": \"10/49\", \"group_value\": 1197.287}, {\"company_size\": \"1000-4999\", \"group_value\": 1138.266}, {\"company_size\": \"<10\", \"group_value\": 1078.606}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 20.77}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_79a68ff2ed0f5dab/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_79a68ff2ed0f5dab/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..e31802b1490646adb85694ea1efe6a0ff1a8793d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_79a68ff2ed0f5dab/run_manifest.json
@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:49:38.010554+00:00",
+  "ended_at": "2026-05-19T15:49:53.488911+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_79a68ff2ed0f5dab",
+    "problem_id": "v2p_m9_4f31cb710e439d9f",
+    "dataset_id": "m9",
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=company_size, measure_col=city_development_index.",
+    "bindings": {
+      "group_col": "company_size",
+      "measure_col": "city_development_index",
+      "top_k": 19,
+      "top_n": 7,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=8",
+      "sql_variant_index=2/2",
+      "binding_index=79"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_79a68ff2ed0f5dab.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_79a68ff2ed0f5dab",
+    "api_calls": 0,
+    "input_tokens": 14786,
+    "cached_input_tokens": 13696,
+    "output_tokens": 738,
+    "total_tokens": 15524,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 15451.48,
+    "sql_execution_elapsed_ms_total": 20.77,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_79a68ff2ed0f5dab/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_79a68ff2ed0f5dab/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_79a68ff2ed0f5dab/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..5ac393806d136a646422fe834131dce555298067
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_79a68ff2ed0f5dab/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:49:53.465643+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15451.48, "started_at": "2026-05-19T15:49:38.012539+00:00", "ended_at": "2026-05-19T15:49:53.464048+00:00", "prompt_metrics": {"chars": 9873, "bytes_utf8": 9873, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 785, "bytes_utf8": 785, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14786, "cached_input_tokens": 13696, "output_tokens": 738, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n  SELECT\\n    \\\"company_size\\\",\\n    SUM(CAST(NULLIF(\\\"city_development_index\\\", '') AS REAL)) AS \\\"group_value\\\"\\n  FROM \\\"m9\\\"\\n  GROUP BY \\\"company_size\\\"\\n),\\n\\\"total\\\" AS (\\n  SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n  FROM \\\"grouped\\\"\\n)\\nSELECT\\n  g.\\\"company_size\\\",\\n  g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the requested Relative-to-Total Extreme Threshold template with group_col=\\\"company_size\\\", measure_col=\\\"city_development_index\\\", and fraction_threshold=0.05. CAST/NULLIF is used because \\\"city_development_index\\\" is stored as TEXT in SQLite.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_79a68ff2ed0f5dab/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_79a68ff2ed0f5dab/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..88f38e65afb9d771e34f80499f199ff18dea397a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_79a68ff2ed0f5dab/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_79a68ff2ed0f5dab",
+  "api_calls": 0,
+  "input_tokens": 14786,
+  "cached_input_tokens": 13696,
+  "output_tokens": 738,
+  "total_tokens": 15524,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 15451.48,
+  "sql_execution_elapsed_ms_total": 20.77,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_79a68ff2ed0f5dab/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_81beacc59d5e11f6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_81beacc59d5e11f6/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ffbd4a6bfd7dd193edb934bcf7059e75bc7876f1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_81beacc59d5e11f6/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"enrolled_university": "no_enrollment", "total_rows": 13817, "missing_rows": 0, "missing_rate": 0.0}, {"enrolled_university": "Full time course", "total_rows": 3757, "missing_rows": 0, "missing_rate": 0.0}, {"enrolled_university": "Part time course", "total_rows": 1198, "missing_rows": 0, "missing_rate": 0.0}, {"enrolled_university": "", "total_rows": 386, "missing_rows": 0, "missing_rate": 0.0}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_81beacc59d5e11f6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_81beacc59d5e11f6/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..9f29e2043f99b81b6a70c270dff3cce5bceaf260
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_81beacc59d5e11f6/generated_sql.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m9_81beacc59d5e11f6
+-- problem_id: v2p_m9_9c5bbf3c84f98fcd
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "enrolled_university",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "major_discipline" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "major_discipline" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "enrolled_university"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_81beacc59d5e11f6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_81beacc59d5e11f6/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..7af2d4fcfb9b984f2baf64c56be1571a60ef13e0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_81beacc59d5e11f6/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_m9_81beacc59d5e11f6\n-- problem_id: v2p_m9_9c5bbf3c84f98fcd\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"enrolled_university\",\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"major_discipline\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"major_discipline\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m9\"\nGROUP BY \"enrolled_university\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_m9_81beacc59d5e11f6\\n-- problem_id: v2p_m9_9c5bbf3c84f98fcd\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"enrolled_university\\\",\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"major_discipline\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"major_discipline\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m9\\\"\\nGROUP BY \\\"enrolled_university\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"enrolled_university\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"enrolled_university\": \"no_enrollment\", \"total_rows\": 13817, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"enrolled_university\": \"Full time course\", \"total_rows\": 3757, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"enrolled_university\": \"Part time course\", \"total_rows\": 1198, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"enrolled_university\": \"\", \"total_rows\": 386, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.67}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_81beacc59d5e11f6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_81beacc59d5e11f6/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..131b681e4f1737c2cf2d0824fc22b674fbf368e5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_81beacc59d5e11f6/run_manifest.json
@@ -0,0 +1,59 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.107877+00:00",
+  "ended_at": "2026-05-19T16:08:56.116286+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_81beacc59d5e11f6",
+    "problem_id": "v2p_m9_9c5bbf3c84f98fcd",
+    "dataset_id": "m9",
+    "template_id": "tpl_missing_target_interaction",
+    "template_name": "Missingness-Target Interaction",
+    "family_id": "missingness_structure",
+    "canonical_subitem_id": "co_missingness_pattern_consistency",
+    "intended_facet_id": "missing_target_interaction",
+    "variant_semantic_role": "missing_target_interaction",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": false,
+    "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=enrolled_university, missing_col=major_discipline.",
+    "bindings": {
+      "missing_col": "major_discipline",
+      "target_col": "enrolled_university"
+    },
+    "binding_roles": [
+      "missing_col",
+      "target_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {target_col},\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;",
+    "notes": [
+      "default_facets=missing_rate_by_subgroup,missing_target_interaction",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=6",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_81beacc59d5e11f6.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_81beacc59d5e11f6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_81beacc59d5e11f6/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_81beacc59d5e11f6/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8465cbaf7645cb24/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8465cbaf7645cb24/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..aa9eee2b4070c0d49eceae7e6f3a91f9ac5ae9f9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8465cbaf7645cb24/run_manifest.json
@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:48.593666+00:00",
+  "ended_at": "2026-05-19T16:08:55.899906+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_8465cbaf7645cb24",
+    "problem_id": "v2p_m9_e415446836768b7c",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "filtered_stable_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=company_size, measure_col=city_development_index.",
+    "bindings": {
+      "group_col": "company_size",
+      "measure_col": "city_development_index",
+      "top_k": 19,
+      "top_n": 7,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=8",
+      "sql_variant_index=2/2",
+      "binding_index=139"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8465cbaf7645cb24/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8465cbaf7645cb24/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..25f47181e9d05c83f6ae2e936328b4db168be442
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8465cbaf7645cb24/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:08:51.580556+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2983.86, "started_at": "2026-05-19T16:08:48.595878+00:00", "ended_at": "2026-05-19T16:08:51.579760+00:00", "prompt_metrics": {"chars": 9403, "bytes_utf8": 9403, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-39c8-78f0-acd3-af438ee3c3b9\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:08:55.899815+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3317.55, "started_at": "2026-05-19T16:08:52.581473+00:00", "ended_at": "2026-05-19T16:08:55.899056+00:00", "prompt_metrics": {"chars": 9403, "bytes_utf8": 9403, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-4952-7612-8bb6-5885290bca98\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8724da76d607f6f3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8724da76d607f6f3/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5d677be4712b372ec33de67701d6e3ee959d89f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8724da76d607f6f3/run_manifest.json
@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:06:51.713102+00:00",
+  "ended_at": "2026-05-19T16:06:58.274241+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_8724da76d607f6f3",
+    "problem_id": "v2p_m9_f403f590f3461bdf",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=gender, measure_col=city_development_index.",
+    "bindings": {
+      "group_col": "gender",
+      "measure_col": "city_development_index",
+      "top_k": 13,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=2",
+      "sql_variant_index=1/2",
+      "binding_index=133"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "problem_index_within_template": 2,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8724da76d607f6f3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8724da76d607f6f3/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..72180de1723a582686be8c9a8d81b4603986b22d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8724da76d607f6f3/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:06:54.418585+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2701.95, "started_at": "2026-05-19T16:06:51.715855+00:00", "ended_at": "2026-05-19T16:06:54.417836+00:00", "prompt_metrics": {"chars": 9386, "bytes_utf8": 9386, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-713b-7b40-9539-fbff04487dd2\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:06:58.274150+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2853.28, "started_at": "2026-05-19T16:06:55.419850+00:00", "ended_at": "2026-05-19T16:06:58.273166+00:00", "prompt_metrics": {"chars": 9386, "bytes_utf8": 9386, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-7fb8-7ca3-88b8-30f5b91bf526\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_87c5d58615f920e6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_87c5d58615f920e6/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c0aa100a2b7c777ce3043e18b1be9708d0da0953
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_87c5d58615f920e6/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=company_size, measure_col=city_development_index.
+Result preview: [{"company_size": "50-99", "group_value": 2556.904}, {"company_size": "100-500", "group_value": 2147.117}, {"company_size": "10000+", "group_value": 1708.489}, {"company_size": "10/49", "group_value": 1197.287}, {"company_size": "1000-4999", "group_value": 1138.266}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_87c5d58615f920e6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_87c5d58615f920e6/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..2f774c481c440645fa62176560b353aeb088b58a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_87c5d58615f920e6/generated_sql.sql
@@ -0,0 +1,30 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_87c5d58615f920e6
+-- problem_id: v2p_m9_b742ed125d6eeedf
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "company_size", SUM(CAST("city_development_index" AS REAL)) AS "group_value"
+    FROM "m9"
+    WHERE "company_size" IS NOT NULL
+      AND "company_size" <> ''
+      AND "city_development_index" IS NOT NULL
+      AND "city_development_index" <> ''
+    GROUP BY "company_size"
+), total AS (
+    SELECT SUM("group_value") AS "total_value"
+    FROM grouped
+)
+SELECT g."company_size", g."group_value"
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g."group_value" > t."total_value" * 0.1
+ORDER BY g."group_value" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_87c5d58615f920e6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_87c5d58615f920e6/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..f9f12eb56888b78aa92b6a8f2b29c2f2c9ad2c2d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_87c5d58615f920e6/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"company_size\", SUM(CAST(\"city_development_index\" AS REAL)) AS \"group_value\"\n    FROM \"m9\"\n    WHERE \"company_size\" IS NOT NULL\n      AND \"company_size\" <> ''\n      AND \"city_development_index\" IS NOT NULL\n      AND \"city_development_index\" <> ''\n    GROUP BY \"company_size\"\n), total AS (\n    SELECT SUM(\"group_value\") AS \"total_value\"\n    FROM grouped\n)\nSELECT g.\"company_size\", g.\"group_value\"\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"company_size\\\", SUM(CAST(\\\"city_development_index\\\" AS REAL)) AS \\\"group_value\\\"\\n    FROM \\\"m9\\\"\\n    WHERE \\\"company_size\\\" IS NOT NULL\\n      AND \\\"company_size\\\" <> ''\\n      AND \\\"city_development_index\\\" IS NOT NULL\\n      AND \\\"city_development_index\\\" <> ''\\n    GROUP BY \\\"company_size\\\"\\n), total AS (\\n    SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n    FROM grouped\\n)\\nSELECT g.\\\"company_size\\\", g.\\\"group_value\\\"\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"company_size\", \"group_value\"], \"rows\": [{\"company_size\": \"50-99\", \"group_value\": 2556.904}, {\"company_size\": \"100-500\", \"group_value\": 2147.117}, {\"company_size\": \"10000+\", \"group_value\": 1708.489}, {\"company_size\": \"10/49\", \"group_value\": 1197.287}, {\"company_size\": \"1000-4999\", \"group_value\": 1138.266}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.47}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_87c5d58615f920e6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_87c5d58615f920e6/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..99a24897fde13bb9ea28aa05449491a3e103091f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_87c5d58615f920e6/run_manifest.json
@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:49:24.730253+00:00",
+  "ended_at": "2026-05-19T15:49:38.010024+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_87c5d58615f920e6",
+    "problem_id": "v2p_m9_b742ed125d6eeedf",
+    "dataset_id": "m9",
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "filtered_stable_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=company_size, measure_col=city_development_index.",
+    "bindings": {
+      "group_col": "company_size",
+      "measure_col": "city_development_index",
+      "top_k": 14,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=8",
+      "sql_variant_index=1/2",
+      "binding_index=79"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_87c5d58615f920e6.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_87c5d58615f920e6",
+    "api_calls": 0,
+    "input_tokens": 14788,
+    "cached_input_tokens": 13696,
+    "output_tokens": 616,
+    "total_tokens": 15404,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 13265.63,
+    "sql_execution_elapsed_ms_total": 9.47,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_87c5d58615f920e6/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_87c5d58615f920e6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_87c5d58615f920e6/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..0900ef92f0145e4ad278b49cbe6e2bbeced6813c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_87c5d58615f920e6/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:49:37.999042+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13265.63, "started_at": "2026-05-19T15:49:24.732561+00:00", "ended_at": "2026-05-19T15:49:37.998217+00:00", "prompt_metrics": {"chars": 9872, "bytes_utf8": 9872, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 898, "bytes_utf8": 898, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14788, "cached_input_tokens": 13696, "output_tokens": 616, "reasoning_output_tokens": 385}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"company_size\\\", SUM(CAST(\\\"city_development_index\\\" AS REAL)) AS \\\"group_value\\\"\\n    FROM \\\"m9\\\"\\n    WHERE \\\"company_size\\\" IS NOT NULL\\n      AND \\\"company_size\\\" <> ''\\n      AND \\\"city_development_index\\\" IS NOT NULL\\n      AND \\\"city_development_index\\\" <> ''\\n    GROUP BY \\\"company_size\\\"\\n), total AS (\\n    SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n    FROM grouped\\n)\\nSELECT g.\\\"company_size\\\", g.\\\"group_value\\\"\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Uses the requested template with group_col=\\\"company_size\\\" and measure_col=\\\"city_development_index\\\", casting the TEXT measure to REAL for SQLite aggregation and filtering out blank group/measure values to keep the grouped view stable.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_87c5d58615f920e6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_87c5d58615f920e6/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..a518c12f9e6a3910f52d6f66c05ecf4f563b61d3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_87c5d58615f920e6/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_87c5d58615f920e6",
+  "api_calls": 0,
+  "input_tokens": 14788,
+  "cached_input_tokens": 13696,
+  "output_tokens": 616,
+  "total_tokens": 15404,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 13265.63,
+  "sql_execution_elapsed_ms_total": 9.47,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_87c5d58615f920e6/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_893dba06558177eb/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_893dba06558177eb/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..70e259bba3bfbdacba19d13f32fbc9240edb8fe9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_893dba06558177eb/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=enrolled_university, measure_col=enrollee_id.
+Result preview: [{"enrolled_university": "no_enrollment", "group_value": 13817}, {"enrolled_university": "Full time course", "group_value": 3757}, {"enrolled_university": "Part time course", "group_value": 1198}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_893dba06558177eb/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_893dba06558177eb/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..6f6cf6754a3d8bdac57338e9c777c09edc25647d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_893dba06558177eb/generated_sql.sql
@@ -0,0 +1,30 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_893dba06558177eb
+-- problem_id: v2p_m9_3042be475e96dc6d
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+    SELECT
+        "enrolled_university",
+        COUNT("enrollee_id") AS "group_value"
+    FROM "m9"
+    GROUP BY "enrolled_university"
+), "total" AS (
+    SELECT SUM("group_value") AS "total_value"
+    FROM "grouped"
+)
+SELECT
+    g."enrolled_university",
+    g."group_value"
+FROM "grouped" AS g
+CROSS JOIN "total" AS t
+WHERE g."group_value" > t."total_value" * 0.05
+ORDER BY g."group_value" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_893dba06558177eb/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_893dba06558177eb/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b905f86b7de8ba89175c77b05bdc05144149eef5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_893dba06558177eb/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n    SELECT\n        \"enrolled_university\",\n        COUNT(\"enrollee_id\") AS \"group_value\"\n    FROM \"m9\"\n    GROUP BY \"enrolled_university\"\n), \"total\" AS (\n    SELECT SUM(\"group_value\") AS \"total_value\"\n    FROM \"grouped\"\n)\nSELECT\n    g.\"enrolled_university\",\n    g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n    SELECT\\n        \\\"enrolled_university\\\",\\n        COUNT(\\\"enrollee_id\\\") AS \\\"group_value\\\"\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"enrolled_university\\\"\\n), \\\"total\\\" AS (\\n    SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n    FROM \\\"grouped\\\"\\n)\\nSELECT\\n    g.\\\"enrolled_university\\\",\\n    g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"enrolled_university\", \"group_value\"], \"rows\": [{\"enrolled_university\": \"no_enrollment\", \"group_value\": 13817}, {\"enrolled_university\": \"Full time course\", \"group_value\": 3757}, {\"enrolled_university\": \"Part time course\", \"group_value\": 1198}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 17.36}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_893dba06558177eb/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_893dba06558177eb/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..98f328b1f64d1825ffd7b52640006d169fb78837
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_893dba06558177eb/run_manifest.json
@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:47:35.307895+00:00",
+  "ended_at": "2026-05-19T15:47:57.874338+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_893dba06558177eb",
+    "problem_id": "v2p_m9_3042be475e96dc6d",
+    "dataset_id": "m9",
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=enrolled_university, measure_col=enrollee_id.",
+    "bindings": {
+      "group_col": "enrolled_university",
+      "measure_col": "enrollee_id",
+      "top_k": 15,
+      "top_n": 7,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 22283.62,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=2/2",
+      "binding_index=75"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_893dba06558177eb.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_893dba06558177eb",
+    "api_calls": 0,
+    "input_tokens": 14789,
+    "cached_input_tokens": 13696,
+    "output_tokens": 740,
+    "total_tokens": 15529,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 22540.83,
+    "sql_execution_elapsed_ms_total": 17.36,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_893dba06558177eb/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_893dba06558177eb/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_893dba06558177eb/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..734a6c4c57acd8bdf5772eb17001836508d534e6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_893dba06558177eb/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:47:57.853346+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 22540.83, "started_at": "2026-05-19T15:47:35.310513+00:00", "ended_at": "2026-05-19T15:47:57.851395+00:00", "prompt_metrics": {"chars": 9869, "bytes_utf8": 9869, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 817, "bytes_utf8": 817, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14789, "cached_input_tokens": 13696, "output_tokens": 740, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n    SELECT\\n        \\\"enrolled_university\\\",\\n        COUNT(\\\"enrollee_id\\\") AS \\\"group_value\\\"\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"enrolled_university\\\"\\n), \\\"total\\\" AS (\\n    SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n    FROM \\\"grouped\\\"\\n)\\nSELECT\\n    g.\\\"enrolled_university\\\",\\n    g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the requested template structure with group_col=\\\"enrolled_university\\\" and a 0.05 relative-to-total threshold. Used COUNT(\\\"enrollee_id\\\") instead of SUM(\\\"enrollee_id\\\") because the prompt specifies count_distribution and enrollee_id is an identifier-like TEXT field.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_893dba06558177eb/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_893dba06558177eb/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..60d62c947d9ab760032cf9e6b775608623a1723a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_893dba06558177eb/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_893dba06558177eb",
+  "api_calls": 0,
+  "input_tokens": 14789,
+  "cached_input_tokens": 13696,
+  "output_tokens": 740,
+  "total_tokens": 15529,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 22540.83,
+  "sql_execution_elapsed_ms_total": 17.36,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_893dba06558177eb/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d27057783abd9d0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d27057783abd9d0/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c7ff402e848e7a9b535debbe245bf192d646ebea
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d27057783abd9d0/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=major_discipline, group_col_2=target.
+Result preview: [{"major_discipline": "STEM", "target": "0.0", "row_count": 601}, {"major_discipline": "STEM", "target": "1.0", "row_count": 355}, {"major_discipline": "", "target": "0.0", "row_count": 249}, {"major_discipline": "", "target": "1.0", "row_count": 63}, {"major_discipline": "Humanities", "target": "0.0", "row_count": 36}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d27057783abd9d0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d27057783abd9d0/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..d7982eb81fcd1f7ccf1ff5580d04b8b7700a297b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d27057783abd9d0/generated_sql.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_m9_8d27057783abd9d0
+-- problem_id: v2p_m9_14de420900f68ad2
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "major_discipline", "target", COUNT(*) AS row_count
+FROM "m9"
+WHERE "experience" = '4'
+GROUP BY "major_discipline", "target"
+ORDER BY row_count DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d27057783abd9d0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d27057783abd9d0/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..fd4f76253bf2e66dac992f38e346daf1e89eb25d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d27057783abd9d0/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"major_discipline\", \"target\", COUNT(*) AS row_count\nFROM \"m9\"\nWHERE \"experience\" = '4'\nGROUP BY \"major_discipline\", \"target\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"major_discipline\\\", \\\"target\\\", COUNT(*) AS row_count\\nFROM \\\"m9\\\"\\nWHERE \\\"experience\\\" = '4'\\nGROUP BY \\\"major_discipline\\\", \\\"target\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"major_discipline\", \"target\", \"row_count\"], \"rows\": [{\"major_discipline\": \"STEM\", \"target\": \"0.0\", \"row_count\": 601}, {\"major_discipline\": \"STEM\", \"target\": \"1.0\", \"row_count\": 355}, {\"major_discipline\": \"\", \"target\": \"0.0\", \"row_count\": 249}, {\"major_discipline\": \"\", \"target\": \"1.0\", \"row_count\": 63}, {\"major_discipline\": \"Humanities\", \"target\": \"0.0\", \"row_count\": 36}, {\"major_discipline\": \"Business Degree\", \"target\": \"0.0\", \"row_count\": 19}, {\"major_discipline\": \"Arts\", \"target\": \"0.0\", \"row_count\": 16}, {\"major_discipline\": \"Humanities\", \"target\": \"1.0\", \"row_count\": 14}, {\"major_discipline\": \"Other\", \"target\": \"0.0\", \"row_count\": 14}, {\"major_discipline\": \"No Major\", \"target\": \"0.0\", \"row_count\": 11}, {\"major_discipline\": \"Arts\", \"target\": \"1.0\", \"row_count\": 9}, {\"major_discipline\": \"Other\", \"target\": \"1.0\", \"row_count\": 7}, {\"major_discipline\": \"Business Degree\", \"target\": \"1.0\", \"row_count\": 5}, {\"major_discipline\": \"No Major\", \"target\": \"1.0\", \"row_count\": 4}], \"row_count_returned\": 14, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.85}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d27057783abd9d0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d27057783abd9d0/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..4bbb842f34d63f3a8993c651760507f0e31acd87
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d27057783abd9d0/run_manifest.json
@@ -0,0 +1,93 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:42:31.323761+00:00",
+  "ended_at": "2026-05-19T15:42:40.651275+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_8d27057783abd9d0",
+    "problem_id": "v2p_m9_14de420900f68ad2",
+    "dataset_id": "m9",
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=major_discipline, group_col_2=target.",
+    "bindings": {
+      "group_col": "major_discipline",
+      "group_col_2": "target",
+      "predicate_col": "experience",
+      "predicate_op": "=",
+      "predicate_value": "4",
+      "top_k": 10,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 88.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=1/1",
+      "binding_index=50"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 5,
+    "problem_index_within_template": 3,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_8d27057783abd9d0.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_8d27057783abd9d0",
+    "api_calls": 0,
+    "input_tokens": 14737,
+    "cached_input_tokens": 13696,
+    "output_tokens": 377,
+    "total_tokens": 15114,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 9317.83,
+    "sql_execution_elapsed_ms_total": 4.85,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d27057783abd9d0/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d27057783abd9d0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d27057783abd9d0/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..7fda8141f83d09956241b4388cade907d01bb002
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d27057783abd9d0/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:42:40.644491+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9317.83, "started_at": "2026-05-19T15:42:31.325829+00:00", "ended_at": "2026-05-19T15:42:40.643690+00:00", "prompt_metrics": {"chars": 9604, "bytes_utf8": 9604, "lines": 268, "estimated_tokens": null}, "response_metrics": {"chars": 392, "bytes_utf8": 392, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14737, "cached_input_tokens": 13696, "output_tokens": 377, "reasoning_output_tokens": 271}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"major_discipline\\\", \\\"target\\\", COUNT(*) AS row_count\\nFROM \\\"m9\\\"\\nWHERE \\\"experience\\\" = '4'\\nGROUP BY \\\"major_discipline\\\", \\\"target\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided Filtered Two-Dimensional Group Count template with \\\"major_discipline\\\" and \\\"target\\\", filtering rows where \\\"experience\\\" = '4'.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d27057783abd9d0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d27057783abd9d0/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..7472379066240c8259946807757683b15d62a447
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d27057783abd9d0/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_8d27057783abd9d0",
+  "api_calls": 0,
+  "input_tokens": 14737,
+  "cached_input_tokens": 13696,
+  "output_tokens": 377,
+  "total_tokens": 15114,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 9317.83,
+  "sql_execution_elapsed_ms_total": 4.85,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d27057783abd9d0/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d50de70e555be2d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d50de70e555be2d/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7c5416013c1a365c2b957538b27740baa74a08f9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d50de70e555be2d/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=experience, measure_col=enrollee_id.
+Result preview: [{"experience": "<1", "city": "city_21", "total_measure": 196, "share_within_group": 37.547892720306514}, {"experience": ">20", "city": "city_103", "total_measure": 1179, "share_within_group": 35.87948874010956}, {"experience": "20", "city": "city_103", "total_measure": 52, "share_within_group": 35.13513513513514}, {"experience": "18", "city": "city_103", "total_measure": 79, "share_within_group": 28.214285714285715}, {"experience": "1", "city": "city_21", "total_measure": 154, "share_within_group": 28.051001821493625}] Results were truncated.
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d50de70e555be2d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d50de70e555be2d/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..42603798cfec88c6eeb77f77814ebcfc4a8fb356
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d50de70e555be2d/generated_sql.sql
@@ -0,0 +1,19 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_8d50de70e555be2d
+-- problem_id: v2p_m9_aba65c8f3e941eb9
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "experience", "city",
+       COUNT("enrollee_id") AS total_measure,
+       COUNT("enrollee_id") * 100.0 / SUM(COUNT("enrollee_id")) OVER (PARTITION BY "experience") AS share_within_group
+FROM "m9"
+GROUP BY "experience", "city"
+ORDER BY share_within_group DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d50de70e555be2d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d50de70e555be2d/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..5aeef5d6ffe174dee8e73581875d4482d4648e0d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d50de70e555be2d/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"experience\", \"city\",\n       COUNT(\"enrollee_id\") AS total_measure,\n       COUNT(\"enrollee_id\") * 100.0 / SUM(COUNT(\"enrollee_id\")) OVER (PARTITION BY \"experience\") AS share_within_group\nFROM \"m9\"\nGROUP BY \"experience\", \"city\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"experience\\\", \\\"city\\\",\\n       COUNT(\\\"enrollee_id\\\") AS total_measure,\\n       COUNT(\\\"enrollee_id\\\") * 100.0 / SUM(COUNT(\\\"enrollee_id\\\")) OVER (PARTITION BY \\\"experience\\\") AS share_within_group\\nFROM \\\"m9\\\"\\nGROUP BY \\\"experience\\\", \\\"city\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"experience\", \"city\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"experience\": \"<1\", \"city\": \"city_21\", \"total_measure\": 196, \"share_within_group\": 37.547892720306514}, {\"experience\": \">20\", \"city\": \"city_103\", \"total_measure\": 1179, \"share_within_group\": 35.87948874010956}, {\"experience\": \"20\", \"city\": \"city_103\", \"total_measure\": 52, \"share_within_group\": 35.13513513513514}, {\"experience\": \"18\", \"city\": \"city_103\", \"total_measure\": 79, \"share_within_group\": 28.214285714285715}, {\"experience\": \"1\", \"city\": \"city_21\", \"total_measure\": 154, \"share_within_group\": 28.051001821493625}, {\"experience\": \"19\", \"city\": \"city_103\", \"total_measure\": 85, \"share_within_group\": 27.960526315789473}, {\"experience\": \"\", \"city\": \"city_103\", \"total_measure\": 18, \"share_within_group\": 27.692307692307693}, {\"experience\": \"15\", \"city\": \"city_103\", \"total_measure\": 180, \"share_within_group\": 26.239067055393587}, {\"experience\": \"16\", \"city\": \"city_103\", \"total_measure\": 133, \"share_within_group\": 26.181102362204726}, {\"experience\": \"\", \"city\": \"city_21\", \"total_measure\": 17, \"share_within_group\": 26.153846153846153}, {\"experience\": \"3\", \"city\": \"city_21\", \"total_measure\": 346, \"share_within_group\": 25.553914327917283}, {\"experience\": \"17\", \"city\": \"city_103\", \"total_measure\": 86, \"share_within_group\": 25.146198830409357}, {\"experience\": \"13\", \"city\": \"city_103\", \"total_measure\": 100, \"share_within_group\": 25.06265664160401}, {\"experience\": \"2\", \"city\": \"city_21\", \"total_measure\": 272, \"share_within_group\": 24.134871339840284}, {\"experience\": \"10\", \"city\": \"city_103\", \"total_measure\": 211, \"share_within_group\": 21.421319796954315}, {\"experience\": \"14\", \"city\": \"city_103\", \"total_measure\": 125, \"share_within_group\": 21.331058020477816}, {\"experience\": \"4\", \"city\": \"city_21\", \"total_measure\": 290, \"share_within_group\": 20.669992872416252}, {\"experience\": \"5\", \"city\": \"city_21\", \"total_measure\": 294, \"share_within_group\": 20.55944055944056}, {\"experience\": \"11\", \"city\": \"city_103\", \"total_measure\": 133, \"share_within_group\": 20.03012048192771}, {\"experience\": \"6\", \"city\": \"city_103\", \"total_measure\": 242, \"share_within_group\": 19.901315789473685}, {\"experience\": \"5\", \"city\": \"city_103\", \"total_measure\": 282, \"share_within_group\": 19.72027972027972}, {\"experience\": \"12\", \"city\": \"city_103\", \"total_measure\": 97, \"share_within_group\": 19.635627530364374}, {\"experience\": \"9\", \"city\": \"city_103\", \"total_measure\": 188, \"share_within_group\": 19.183673469387756}, {\"experience\": \"4\", \"city\": \"city_103\", \"total_measure\": 269, \"share_within_group\": 19.17320028510335}, {\"experience\": \"7\", \"city\": \"city_21\", \"total_measure\": 195, \"share_within_group\": 18.96887159533074}, {\"experience\": \"6\", \"city\": \"city_21\", \"total_measure\": 224, \"share_within_group\": 18.42105263157895}, {\"experience\": \"7\", \"city\": \"city_103\", \"total_measure\": 188, \"share_within_group\": 18.28793774319066}, {\"experience\": \"8\", \"city\": \"city_103\", \"total_measure\": 144, \"share_within_group\": 17.955112219451372}, {\"experience\": \"3\", \"city\": \"city_103\", \"total_measure\": 230, \"share_within_group\": 16.986706056129986}, {\"experience\": \"8\", \"city\": \"city_21\", \"total_measure\": 131, \"share_within_group\": 16.33416458852868}, {\"experience\": \"2\", \"city\": \"city_103\", \"total_measure\": 183, \"share_within_group\": 16.237799467613133}, {\"experience\": \"1\", \"city\": \"city_103\", \"total_measure\": 79, \"share_within_group\": 14.389799635701275}, {\"experience\": \"<1\", \"city\": \"city_103\", \"total_measure\": 72, \"share_within_group\": 13.793103448275861}, {\"experience\": \"9\", \"city\": \"city_21\", \"total_measure\": 125, \"share_within_group\": 12.755102040816327}, {\"experience\": \">20\", \"city\": \"city_16\", \"total_measure\": 385, \"share_within_group\": 11.716372489348752}, {\"experience\": \"10\", \"city\": \"city_21\", \"total_measure\": 110, \"share_within_group\": 11.16751269035533}, {\"experience\": \"19\", \"city\": \"city_114\", \"total_measure\": 33, \"share_within_group\": 10.855263157894736}, {\"experience\": \"18\", \"city\": \"city_114\", \"total_measure\": 29, \"share_within_group\": 10.357142857142858}, {\"experience\": \"12\", \"city\": \"city_21\", \"total_measure\": 51, \"share_within_group\": 10.323886639676113}, {\"experience\": \"11\", \"city\": \"city_114\", \"total_measure\": 68, \"share_within_group\": 10.240963855421686}, {\"experience\": \"20\", \"city\": \"city_16\", \"total_measure\": 15, \"share_within_group\": 10.135135135135135}, {\"experience\": \"14\", \"city\": \"city_114\", \"total_measure\": 59, \"share_within_group\": 10.06825938566553}, {\"experience\": \"15\", \"city\": \"city_114\", \"total_measure\": 68, \"share_within_group\": 9.912536443148689}, {\"experience\": \"14\", \"city\": \"city_16\", \"total_measure\": 58, \"share_within_group\": 9.897610921501707}, {\"experience\": \"15\", \"city\": \"city_16\", \"total_measure\": 64, \"share_within_group\": 9.329446064139942}, {\"experience\": \"16\", \"city\": \"city_16\", \"total_measure\": 47, \"share_within_group\": 9.251968503937007}, {\"experience\": \"17\", \"city\": \"city_114\", \"total_measure\": 31, \"share_within_group\": 9.064327485380117}, {\"experience\": \"17\", \"city\": \"city_16\", \"total_measure\": 31, \"share_within_group\": 9.064327485380117}, {\"experience\": \"16\", \"city\": \"city_114\", \"total_measure\": 46, \"share_within_group\": 9.05511811023622}, {\"experience\": \"11\", \"city\": \"city_21\", \"total_measure\": 60, \"share_within_group\": 9.036144578313253}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 42.63}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d50de70e555be2d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d50de70e555be2d/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..ae1993500c2aabe4810630443f8eb4acf50dec30
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d50de70e555be2d/run_manifest.json
@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:37:17.702079+00:00",
+  "ended_at": "2026-05-19T15:37:43.490518+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_8d50de70e555be2d",
+    "problem_id": "v2p_m9_aba65c8f3e941eb9",
+    "dataset_id": "m9",
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "within_group_proportion",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=experience, measure_col=enrollee_id.",
+    "bindings": {
+      "group_col": "experience",
+      "measure_col": "enrollee_id",
+      "item_col": "city",
+      "top_k": 10,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 25169.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/2",
+      "binding_index=30"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_8d50de70e555be2d.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_8d50de70e555be2d",
+    "api_calls": 0,
+    "input_tokens": 14766,
+    "cached_input_tokens": 13696,
+    "output_tokens": 690,
+    "total_tokens": 15456,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 25739.75,
+    "sql_execution_elapsed_ms_total": 42.63,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d50de70e555be2d/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d50de70e555be2d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d50de70e555be2d/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..4d426b0386c4646506929dd432078e227c7a5b91
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d50de70e555be2d/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:37:43.445324+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 25739.75, "started_at": "2026-05-19T15:37:17.704028+00:00", "ended_at": "2026-05-19T15:37:43.443809+00:00", "prompt_metrics": {"chars": 9701, "bytes_utf8": 9701, "lines": 266, "estimated_tokens": null}, "response_metrics": {"chars": 654, "bytes_utf8": 654, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14766, "cached_input_tokens": 13696, "output_tokens": 690, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"experience\\\", \\\"city\\\",\\n       COUNT(\\\"enrollee_id\\\") AS total_measure,\\n       COUNT(\\\"enrollee_id\\\") * 100.0 / SUM(COUNT(\\\"enrollee_id\\\")) OVER (PARTITION BY \\\"experience\\\") AS share_within_group\\nFROM \\\"m9\\\"\\nGROUP BY \\\"experience\\\", \\\"city\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the planned within-group share template with group_col=\\\"experience\\\" and item_col=\\\"city\\\". Because \\\"enrollee_id\\\" is an identifier stored as TEXT, COUNT(\\\"enrollee_id\\\") is used as the group measure instead of SUM(\\\"enrollee_id\\\") to produce a meaningful within-group proportion in SQLite.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d50de70e555be2d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d50de70e555be2d/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..355b6951c7accf112eaf088e34e3301e39d94d68
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d50de70e555be2d/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_8d50de70e555be2d",
+  "api_calls": 0,
+  "input_tokens": 14766,
+  "cached_input_tokens": 13696,
+  "output_tokens": 690,
+  "total_tokens": 15456,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 25739.75,
+  "sql_execution_elapsed_ms_total": 42.63,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_8d50de70e555be2d/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_929285095c6e54d3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_929285095c6e54d3/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c649aaf0dbb5f70f1a8bd5c63864afac775303ed
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_929285095c6e54d3/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=gender, measure_col=city_development_index.
+Result preview: [{"gender": "Female", "city": "city_103", "total_measure": 386.40000000000003, "share_within_group": 36.948215125819}, {"gender": "Other", "city": "city_103", "total_measure": 55.2, "share_within_group": 33.36194079464275}, {"gender": "Male", "city": "city_103", "total_measure": 2851.08, "share_within_group": 25.70134718697138}, {"gender": "Male", "city": "city_16", "total_measure": 1042.8600000000001, "share_within_group": 9.400966275027349}, {"gender": "Female", "city": "city_21", "total_measure": 95.472, "share_within_group": 9.129192532329688}] Results were truncated.
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_929285095c6e54d3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_929285095c6e54d3/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..53112c80ee6f039426bdb8b81b89e606ce9fcb12
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_929285095c6e54d3/generated_sql.sql
@@ -0,0 +1,24 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_929285095c6e54d3
+-- problem_id: v2p_m9_47e216889c15f0bb
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "gender",
+  "city",
+  SUM(CAST("city_development_index" AS REAL)) AS total_measure,
+  SUM(CAST("city_development_index" AS REAL)) * 100.0 / SUM(SUM(CAST("city_development_index" AS REAL))) OVER (PARTITION BY "gender") AS share_within_group
+FROM "m9"
+WHERE "gender" <> ''
+  AND "city" <> ''
+  AND "city_development_index" <> ''
+GROUP BY "gender", "city"
+ORDER BY share_within_group DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_929285095c6e54d3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_929285095c6e54d3/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..de767df728b96cc78f724706829e4414ccee7802
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_929285095c6e54d3/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"gender\",\n  \"city\",\n  SUM(CAST(\"city_development_index\" AS REAL)) AS total_measure,\n  SUM(CAST(\"city_development_index\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"city_development_index\" AS REAL))) OVER (PARTITION BY \"gender\") AS share_within_group\nFROM \"m9\"\nWHERE \"gender\" <> ''\n  AND \"city\" <> ''\n  AND \"city_development_index\" <> ''\nGROUP BY \"gender\", \"city\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"gender\\\",\\n  \\\"city\\\",\\n  SUM(CAST(\\\"city_development_index\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"city_development_index\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"city_development_index\\\" AS REAL))) OVER (PARTITION BY \\\"gender\\\") AS share_within_group\\nFROM \\\"m9\\\"\\nWHERE \\\"gender\\\" <> ''\\n  AND \\\"city\\\" <> ''\\n  AND \\\"city_development_index\\\" <> ''\\nGROUP BY \\\"gender\\\", \\\"city\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"gender\", \"city\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"gender\": \"Female\", \"city\": \"city_103\", \"total_measure\": 386.40000000000003, \"share_within_group\": 36.948215125819}, {\"gender\": \"Other\", \"city\": \"city_103\", \"total_measure\": 55.2, \"share_within_group\": 33.36194079464275}, {\"gender\": \"Male\", \"city\": \"city_103\", \"total_measure\": 2851.08, \"share_within_group\": 25.70134718697138}, {\"gender\": \"Male\", \"city\": \"city_16\", \"total_measure\": 1042.8600000000001, \"share_within_group\": 9.400966275027349}, {\"gender\": \"Female\", \"city\": \"city_21\", \"total_measure\": 95.472, \"share_within_group\": 9.129192532329688}, {\"gender\": \"Other\", \"city\": \"city_16\", \"total_measure\": 14.56, \"share_within_group\": 8.799816267572435}, {\"gender\": \"Male\", \"city\": \"city_21\", \"total_measure\": 974.688, \"share_within_group\": 8.78642292989841}, {\"gender\": \"Female\", \"city\": \"city_16\", \"total_measure\": 87.36, \"share_within_group\": 8.353509506706905}, {\"gender\": \"Male\", \"city\": \"city_114\", \"total_measure\": 918.592, \"share_within_group\": 8.28073990037965}, {\"gender\": \"Other\", \"city\": \"city_114\", \"total_measure\": 12.037999999999998, \"share_within_group\": 7.275562378367924}, {\"gender\": \"Female\", \"city\": \"city_160\", \"total_measure\": 69.92, \"share_within_group\": 6.685867498957724}, {\"gender\": \"Female\", \"city\": \"city_114\", \"total_measure\": 55.559999999999995, \"share_within_group\": 5.312740249457824}, {\"gender\": \"Other\", \"city\": \"city_67\", \"total_measure\": 8.55, \"share_within_group\": 5.167474525257166}, {\"gender\": \"Male\", \"city\": \"city_160\", \"total_measure\": 560.28, \"share_within_group\": 5.050700366849167}, {\"gender\": \"Female\", \"city\": \"city_67\", \"total_measure\": 40.185, \"share_within_group\": 3.842557000080322}, {\"gender\": \"Other\", \"city\": \"city_28\", \"total_measure\": 5.634, \"share_within_group\": 3.4050937398010377}, {\"gender\": \"Other\", \"city\": \"city_160\", \"total_measure\": 5.5200000000000005, \"share_within_group\": 3.336194079464275}, {\"gender\": \"Male\", \"city\": \"city_136\", \"total_measure\": 365.079, \"share_within_group\": 3.2910413350983925}, {\"gender\": \"Other\", \"city\": \"city_21\", \"total_measure\": 4.992, \"share_within_group\": 3.0170798631676923}, {\"gender\": \"Other\", \"city\": \"city_10\", \"total_measure\": 4.475, \"share_within_group\": 2.704613859710621}, {\"gender\": \"Female\", \"city\": \"city_136\", \"total_measure\": 26.013, \"share_within_group\": 2.4874066254346006}, {\"gender\": \"Male\", \"city\": \"city_67\", \"total_measure\": 253.07999999999998, \"share_within_group\": 2.2814150939569275}, {\"gender\": \"Other\", \"city\": \"city_75\", \"total_measure\": 3.7560000000000002, \"share_within_group\": 2.2700624932006916}, {\"gender\": \"Other\", \"city\": \"city_104\", \"total_measure\": 3.696, \"share_within_group\": 2.23379951407608}, {\"gender\": \"Other\", \"city\": \"city_83\", \"total_measure\": 3.6919999999999997, \"share_within_group\": 2.231381982134439}, {\"gender\": \"Female\", \"city\": \"city_75\", \"total_measure\": 22.536, \"share_within_group\": 2.1549300623070837}, {\"gender\": \"Other\", \"city\": \"city_71\", \"total_measure\": 3.536, \"share_within_group\": 2.137098236410449}, {\"gender\": \"Male\", \"city\": \"city_75\", \"total_measure\": 215.97000000000003, \"share_within_group\": 1.9468832694874256}, {\"gender\": \"Male\", \"city\": \"city_104\", \"total_measure\": 213.44400000000002, \"share_within_group\": 1.9241123886302451}, {\"gender\": \"Other\", \"city\": \"city_98\", \"total_measure\": 2.8470000000000004, \"share_within_group\": 1.7206783594628248}, {\"gender\": \"Other\", \"city\": \"city_150\", \"total_measure\": 2.792, \"share_within_group\": 1.6874372952652636}, {\"gender\": \"Male\", \"city\": \"city_100\", \"total_measure\": 178.287, \"share_within_group\": 1.6071860789327435}, {\"gender\": \"Other\", \"city\": \"city_57\", \"total_measure\": 2.598, \"share_within_group\": 1.570186996095686}, {\"gender\": \"Male\", \"city\": \"city_102\", \"total_measure\": 168.036, \"share_within_group\": 1.5147774092308606}, {\"gender\": \"Male\", \"city\": \"city_71\", \"total_measure\": 164.424, \"share_within_group\": 1.4822166722331827}, {\"gender\": \"Female\", \"city\": \"city_23\", \"total_measure\": 14.384, \"share_within_group\": 1.375422169694049}, {\"gender\": \"Male\", \"city\": \"city_73\", \"total_measure\": 151.554, \"share_within_group\": 1.3661987638278337}, {\"gender\": \"Other\", \"city\": \"city_134\", \"total_measure\": 2.094, \"share_within_group\": 1.2655779714489477}, {\"gender\": \"Male\", \"city\": \"city_61\", \"total_measure\": 138.77599999999998, \"share_within_group\": 1.251010198668273}, {\"gender\": \"Male\", \"city\": \"city_28\", \"total_measure\": 137.094, \"share_within_group\": 1.2358476406311483}, {\"gender\": \"Female\", \"city\": \"city_102\", \"total_measure\": 12.864, \"share_within_group\": 1.2300772240645332}, {\"gender\": \"Other\", \"city\": \"city_64\", \"total_measure\": 1.9979999999999998, \"share_within_group\": 1.207557204849569}, {\"gender\": \"Female\", \"city\": \"city_83\", \"total_measure\": 11.998999999999999, \"share_within_group\": 1.1473644754003678}, {\"gender\": \"Other\", \"city\": \"city_61\", \"total_measure\": 1.8259999999999998, \"share_within_group\": 1.1036033313590154}, {\"gender\": \"Other\", \"city\": \"city_136\", \"total_measure\": 1.794, \"share_within_group\": 1.0842630758258893}, {\"gender\": \"Other\", \"city\": \"city_100\", \"total_measure\": 1.774, \"share_within_group\": 1.0721754161176855}, {\"gender\": \"Male\", \"city\": \"city_23\", \"total_measure\": 114.173, \"share_within_group\": 1.029223982623456}, {\"gender\": \"Female\", \"city\": \"city_71\", \"total_measure\": 10.608, \"share_within_group\": 1.0143547258144097}, {\"gender\": \"Male\", \"city\": \"city_36\", \"total_measure\": 109.839, \"share_within_group\": 0.9901547040664412}, {\"gender\": \"Other\", \"city\": \"city_102\", \"total_measure\": 1.608, \"share_within_group\": 0.9718478405395932}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 19.59}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_929285095c6e54d3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_929285095c6e54d3/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..b742484857517b22df1456838c67b4d16aa55956
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_929285095c6e54d3/run_manifest.json
@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:34:33.021093+00:00",
+  "ended_at": "2026-05-19T15:34:51.690460+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_929285095c6e54d3",
+    "problem_id": "v2p_m9_47e216889c15f0bb",
+    "dataset_id": "m9",
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=gender, measure_col=city_development_index.",
+    "bindings": {
+      "group_col": "gender",
+      "measure_col": "city_development_index",
+      "item_col": "city",
+      "top_k": 10,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=2",
+      "sql_variant_index=1/2",
+      "binding_index=25"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 2,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_929285095c6e54d3.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_929285095c6e54d3",
+    "api_calls": 0,
+    "input_tokens": 14765,
+    "cached_input_tokens": 12032,
+    "output_tokens": 915,
+    "total_tokens": 15680,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 18644.51,
+    "sql_execution_elapsed_ms_total": 19.59,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_929285095c6e54d3/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_929285095c6e54d3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_929285095c6e54d3/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..64734ac671b6a2e0db5354b1329b85ae5b3c66c0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_929285095c6e54d3/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:34:51.668329+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 18644.51, "started_at": "2026-05-19T15:34:33.023034+00:00", "ended_at": "2026-05-19T15:34:51.667573+00:00", "prompt_metrics": {"chars": 9706, "bytes_utf8": 9706, "lines": 266, "estimated_tokens": null}, "response_metrics": {"chars": 774, "bytes_utf8": 774, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14765, "cached_input_tokens": 12032, "output_tokens": 915, "reasoning_output_tokens": 703}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"gender\\\",\\n  \\\"city\\\",\\n  SUM(CAST(\\\"city_development_index\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"city_development_index\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"city_development_index\\\" AS REAL))) OVER (PARTITION BY \\\"gender\\\") AS share_within_group\\nFROM \\\"m9\\\"\\nWHERE \\\"gender\\\" <> ''\\n  AND \\\"city\\\" <> ''\\n  AND \\\"city_development_index\\\" <> ''\\nGROUP BY \\\"gender\\\", \\\"city\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Instantiated the Within-Group Share of Total template with group_col=\\\"gender\\\", item_col=\\\"city\\\", and measure_col=\\\"city_development_index\\\". Cast the measure to REAL because it is stored as TEXT in SQLite, and filtered out empty-string values for cleaner within-group shares.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_929285095c6e54d3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_929285095c6e54d3/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..b20e258eb5ecf6f8a493ff4411a6658479057e56
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_929285095c6e54d3/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_929285095c6e54d3",
+  "api_calls": 0,
+  "input_tokens": 14765,
+  "cached_input_tokens": 12032,
+  "output_tokens": 915,
+  "total_tokens": 15680,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 18644.51,
+  "sql_execution_elapsed_ms_total": 19.59,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_929285095c6e54d3/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_953875ed74da25ce/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_953875ed74da25ce/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..c19db5eb5a39acec6be52985f50e38d23238fd36
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_953875ed74da25ce/run_manifest.json
@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:06:16.837141+00:00",
+  "ended_at": "2026-05-19T16:06:24.441020+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_953875ed74da25ce",
+    "problem_id": "v2p_m9_5e17709eea6116b2",
+    "dataset_id": "m9",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=company_size.",
+    "bindings": {
+      "group_col": "company_size",
+      "top_k": 12,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=8",
+      "sql_variant_index=1/2",
+      "binding_index=127"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_953875ed74da25ce/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_953875ed74da25ce/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..35da4ab82687b7647de73b546656c0afce9b0bd8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_953875ed74da25ce/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:06:20.111604+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3271.44, "started_at": "2026-05-19T16:06:16.839403+00:00", "ended_at": "2026-05-19T16:06:20.110867+00:00", "prompt_metrics": {"chars": 9278, "bytes_utf8": 9278, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-e901-7571-bfae-a501223487ad\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:06:24.440920+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3327.01, "started_at": "2026-05-19T16:06:21.113123+00:00", "ended_at": "2026-05-19T16:06:24.440169+00:00", "prompt_metrics": {"chars": 9278, "bytes_utf8": 9278, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-f9b1-76c2-8c91-db04f28fd0e7\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_96674019d933c5a1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_96674019d933c5a1/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0fda7a59716b70223b42cf1505b7aeaec9838872
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_96674019d933c5a1/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=experience, group_col_2=company_size.
+Result preview: [{"experience": ">20", "company_size": "10000+", "row_count": 430}, {"experience": "6", "company_size": "10000+", "row_count": 150}, {"experience": "5", "company_size": "10000+", "row_count": 137}, {"experience": "10", "company_size": "10000+", "row_count": 130}, {"experience": "9", "company_size": "10000+", "row_count": 111}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_96674019d933c5a1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_96674019d933c5a1/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..1beda98ab394e087baa7c2df9c1186d32b80923b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_96674019d933c5a1/generated_sql.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_m9_96674019d933c5a1
+-- problem_id: v2p_m9_92ab6314c940654b
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "experience", "company_size", COUNT(*) AS row_count
+FROM "m9"
+WHERE "company_size" = '10000+'
+GROUP BY "experience", "company_size"
+ORDER BY row_count DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_96674019d933c5a1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_96674019d933c5a1/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b22a77f837f40c1ae9be26de711a88b2b974af79
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_96674019d933c5a1/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"experience\", \"company_size\", COUNT(*) AS row_count\nFROM \"m9\"\nWHERE \"company_size\" = '10000+'\nGROUP BY \"experience\", \"company_size\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"experience\\\", \\\"company_size\\\", COUNT(*) AS row_count\\nFROM \\\"m9\\\"\\nWHERE \\\"company_size\\\" = '10000+'\\nGROUP BY \\\"experience\\\", \\\"company_size\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"experience\", \"company_size\", \"row_count\"], \"rows\": [{\"experience\": \">20\", \"company_size\": \"10000+\", \"row_count\": 430}, {\"experience\": \"6\", \"company_size\": \"10000+\", \"row_count\": 150}, {\"experience\": \"5\", \"company_size\": \"10000+\", \"row_count\": 137}, {\"experience\": \"10\", \"company_size\": \"10000+\", \"row_count\": 130}, {\"experience\": \"9\", \"company_size\": \"10000+\", \"row_count\": 111}, {\"experience\": \"7\", \"company_size\": \"10000+\", \"row_count\": 109}, {\"experience\": \"4\", \"company_size\": \"10000+\", \"row_count\": 106}, {\"experience\": \"3\", \"company_size\": \"10000+\", \"row_count\": 96}, {\"experience\": \"8\", \"company_size\": \"10000+\", \"row_count\": 86}, {\"experience\": \"15\", \"company_size\": \"10000+\", \"row_count\": 83}, {\"experience\": \"11\", \"company_size\": \"10000+\", \"row_count\": 77}, {\"experience\": \"14\", \"company_size\": \"10000+\", \"row_count\": 65}, {\"experience\": \"16\", \"company_size\": \"10000+\", \"row_count\": 63}, {\"experience\": \"2\", \"company_size\": \"10000+\", \"row_count\": 61}, {\"experience\": \"13\", \"company_size\": \"10000+\", \"row_count\": 52}, {\"experience\": \"12\", \"company_size\": \"10000+\", \"row_count\": 49}, {\"experience\": \"17\", \"company_size\": \"10000+\", \"row_count\": 46}, {\"experience\": \"19\", \"company_size\": \"10000+\", \"row_count\": 41}, {\"experience\": \"18\", \"company_size\": \"10000+\", \"row_count\": 37}, {\"experience\": \"1\", \"company_size\": \"10000+\", \"row_count\": 32}, {\"experience\": \"<1\", \"company_size\": \"10000+\", \"row_count\": 28}, {\"experience\": \"20\", \"company_size\": \"10000+\", \"row_count\": 22}, {\"experience\": \"\", \"company_size\": \"10000+\", \"row_count\": 8}], \"row_count_returned\": 23, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.21}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_96674019d933c5a1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_96674019d933c5a1/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..188ae47dcfe8abec8ed4a76b850fc0ce6dd44322
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_96674019d933c5a1/run_manifest.json
@@ -0,0 +1,93 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:42:40.652349+00:00",
+  "ended_at": "2026-05-19T15:42:48.476109+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_96674019d933c5a1",
+    "problem_id": "v2p_m9_92ab6314c940654b",
+    "dataset_id": "m9",
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=experience, group_col_2=company_size.",
+    "bindings": {
+      "group_col": "experience",
+      "group_col_2": "company_size",
+      "predicate_col": "company_size",
+      "predicate_op": "=",
+      "predicate_value": "10000+",
+      "top_k": 11,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 25169.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=1/1",
+      "binding_index=51"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 5,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_96674019d933c5a1.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_96674019d933c5a1",
+    "api_calls": 0,
+    "input_tokens": 14739,
+    "cached_input_tokens": 12032,
+    "output_tokens": 250,
+    "total_tokens": 14989,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 7812.69,
+    "sql_execution_elapsed_ms_total": 5.21,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_96674019d933c5a1/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_96674019d933c5a1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_96674019d933c5a1/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..2a4a137487545fbda61a3d55fda37e1dd60e1982
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_96674019d933c5a1/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:42:48.469043+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7812.69, "started_at": "2026-05-19T15:42:40.654832+00:00", "ended_at": "2026-05-19T15:42:48.467555+00:00", "prompt_metrics": {"chars": 9614, "bytes_utf8": 9614, "lines": 268, "estimated_tokens": null}, "response_metrics": {"chars": 467, "bytes_utf8": 467, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14739, "cached_input_tokens": 12032, "output_tokens": 250, "reasoning_output_tokens": 132}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"experience\\\", \\\"company_size\\\", COUNT(*) AS row_count\\nFROM \\\"m9\\\"\\nWHERE \\\"company_size\\\" = '10000+'\\nGROUP BY \\\"experience\\\", \\\"company_size\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the required template and fixed bindings exactly as provided. Because the filter is on \\\"company_size\\\" = '10000+' while also grouping by \\\"company_size\\\", the second grouping column will be constant in the result.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_96674019d933c5a1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_96674019d933c5a1/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..c48c69b72b5841dfea8d038c132b39fc8dceb9a7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_96674019d933c5a1/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_96674019d933c5a1",
+  "api_calls": 0,
+  "input_tokens": 14739,
+  "cached_input_tokens": 12032,
+  "output_tokens": 250,
+  "total_tokens": 14989,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 7812.69,
+  "sql_execution_elapsed_ms_total": 5.21,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_96674019d933c5a1/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9971366f73dfa4e0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9971366f73dfa4e0/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a68b7ed2672684fa7f978cd7e62da735e51903d3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9971366f73dfa4e0/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=city_development_index.
+Result preview: [{"city_development_index": 0.9490000000000001}, {"city_development_index": 0.9490000000000001}, {"city_development_index": 0.9490000000000001}, {"city_development_index": 0.9490000000000001}, {"city_development_index": 0.9490000000000001}] Results were truncated.
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9971366f73dfa4e0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9971366f73dfa4e0/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..9544bd893f7a8ed3b04eaf8680b63aa9247408a9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9971366f73dfa4e0/generated_sql.sql
@@ -0,0 +1,24 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_m4_quantile_tail_slice
+-- query_record_id: v2q_m9_9971366f73dfa4e0
+-- problem_id: v2p_m9_184e016c4268d053
+-- realization_mode: agent
+-- source_kind: agent
+WITH buckets AS (
+    SELECT CAST("city_development_index" AS REAL) AS "city_development_index",
+           NTILE(10) OVER (ORDER BY CAST("city_development_index" AS REAL) DESC) AS "tail_bucket"
+    FROM "m9"
+    WHERE "city_development_index" IS NOT NULL
+      AND "city_development_index" <> ''
+)
+SELECT "city_development_index"
+FROM buckets
+WHERE "tail_bucket" = 1
+ORDER BY "city_development_index" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9971366f73dfa4e0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9971366f73dfa4e0/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..e522891410ee9dd38cb7218932bbf65adc0d6ce3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9971366f73dfa4e0/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n    SELECT CAST(\"city_development_index\" AS REAL) AS \"city_development_index\",\n           NTILE(10) OVER (ORDER BY CAST(\"city_development_index\" AS REAL) DESC) AS \"tail_bucket\"\n    FROM \"m9\"\n    WHERE \"city_development_index\" IS NOT NULL\n      AND \"city_development_index\" <> ''\n)\nSELECT \"city_development_index\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"city_development_index\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n    SELECT CAST(\\\"city_development_index\\\" AS REAL) AS \\\"city_development_index\\\",\\n           NTILE(10) OVER (ORDER BY CAST(\\\"city_development_index\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n    FROM \\\"m9\\\"\\n    WHERE \\\"city_development_index\\\" IS NOT NULL\\n      AND \\\"city_development_index\\\" <> ''\\n)\\nSELECT \\\"city_development_index\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"city_development_index\\\" DESC;\", \"columns\": [\"city_development_index\"], \"rows\": [{\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}, {\"city_development_index\": 0.9490000000000001}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 48.21}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9971366f73dfa4e0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9971366f73dfa4e0/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..866751de7b18593ba3ee40f51f80b371af57c795
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9971366f73dfa4e0/run_manifest.json
@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:44:55.360361+00:00",
+  "ended_at": "2026-05-19T15:45:08.044240+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_9971366f73dfa4e0",
+    "problem_id": "v2p_m9_184e016c4268d053",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=city_development_index.",
+    "bindings": {
+      "measure_col": "city_development_index",
+      "top_k": 14,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=1/1",
+      "binding_index=64"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 6,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9971366f73dfa4e0.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_9971366f73dfa4e0",
+    "api_calls": 0,
+    "input_tokens": 14703,
+    "cached_input_tokens": 12032,
+    "output_tokens": 473,
+    "total_tokens": 15176,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 12630.45,
+    "sql_execution_elapsed_ms_total": 48.21,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9971366f73dfa4e0/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9971366f73dfa4e0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9971366f73dfa4e0/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..f8d5cf0b279dd6c6f2cc4c220b421e030094e435
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9971366f73dfa4e0/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:45:07.994357+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12630.45, "started_at": "2026-05-19T15:44:55.362423+00:00", "ended_at": "2026-05-19T15:45:07.992910+00:00", "prompt_metrics": {"chars": 9480, "bytes_utf8": 9480, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 737, "bytes_utf8": 737, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14703, "cached_input_tokens": 12032, "output_tokens": 473, "reasoning_output_tokens": 287}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n    SELECT CAST(\\\"city_development_index\\\" AS REAL) AS \\\"city_development_index\\\",\\n           NTILE(10) OVER (ORDER BY CAST(\\\"city_development_index\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n    FROM \\\"m9\\\"\\n    WHERE \\\"city_development_index\\\" IS NOT NULL\\n      AND \\\"city_development_index\\\" <> ''\\n)\\nSELECT \\\"city_development_index\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"city_development_index\\\" DESC;\",\"notes\":\"Applied the requested Quantile Tail Slice template with measure_col bound to city_development_index. Cast to REAL because the column is stored as TEXT in SQLite, and excluded empty values so the top decile reflects numeric tail values.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9971366f73dfa4e0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9971366f73dfa4e0/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..f0c0bab894e0a6641db80ef67a2284ef2a7eded8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9971366f73dfa4e0/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_9971366f73dfa4e0",
+  "api_calls": 0,
+  "input_tokens": 14703,
+  "cached_input_tokens": 12032,
+  "output_tokens": 473,
+  "total_tokens": 15176,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 12630.45,
+  "sql_execution_elapsed_ms_total": 48.21,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9971366f73dfa4e0/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9d8239258a6175aa/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9d8239258a6175aa/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2298383fffed0e0217fd1723abb6b4e8f5ae2cf5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9d8239258a6175aa/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=education_level.
+Result preview: [{"education_level": "Graduate", "row_count": 11598}, {"education_level": "Masters", "row_count": 4361}, {"education_level": "High School", "row_count": 2017}, {"education_level": "", "row_count": 460}, {"education_level": "Phd", "row_count": 414}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9d8239258a6175aa/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9d8239258a6175aa/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..e4df6d3df6c749e46c86e52d1be05b2a7ed4cb35
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9d8239258a6175aa/generated_sql.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: subgroup_size_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_clickbench_group_count
+-- query_record_id: v2q_m9_9d8239258a6175aa
+-- problem_id: v2p_m9_355755c337a84209
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "education_level", COUNT(*) AS row_count
+FROM "m9"
+GROUP BY "education_level"
+ORDER BY row_count DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9d8239258a6175aa/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9d8239258a6175aa/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..026a3a101cc81cf4d8aec4a614058e1c7c1a0a7f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9d8239258a6175aa/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_clickbench_group_count\nSELECT \"education_level\", COUNT(*) AS row_count\nFROM \"m9\"\nGROUP BY \"education_level\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"education_level\\\", COUNT(*) AS row_count\\nFROM \\\"m9\\\"\\nGROUP BY \\\"education_level\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"education_level\", \"row_count\"], \"rows\": [{\"education_level\": \"Graduate\", \"row_count\": 11598}, {\"education_level\": \"Masters\", \"row_count\": 4361}, {\"education_level\": \"High School\", \"row_count\": 2017}, {\"education_level\": \"\", \"row_count\": 460}, {\"education_level\": \"Phd\", \"row_count\": 414}, {\"education_level\": \"Primary School\", \"row_count\": 308}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 16.75}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9d8239258a6175aa/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9d8239258a6175aa/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..19fc6300a1ae38c6cb7a94478b33177739e1d74a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9d8239258a6175aa/run_manifest.json
@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:33:05.596167+00:00",
+  "ended_at": "2026-05-19T15:33:13.457638+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_9d8239258a6175aa",
+    "problem_id": "v2p_m9_355755c337a84209",
+    "dataset_id": "m9",
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "subgroup_size_stability",
+    "intended_facet_id": "subgroup_distribution_shift",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=education_level.",
+    "bindings": {
+      "group_col": "education_level",
+      "top_k": 11,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=1/1",
+      "binding_index=16"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 2,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9d8239258a6175aa.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_9d8239258a6175aa",
+    "api_calls": 0,
+    "input_tokens": 14619,
+    "cached_input_tokens": 12032,
+    "output_tokens": 250,
+    "total_tokens": 14869,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 7837.88,
+    "sql_execution_elapsed_ms_total": 16.75,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9d8239258a6175aa/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9d8239258a6175aa/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9d8239258a6175aa/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..46e538d18b3e0d223ec4af9c806b0556bd243206
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9d8239258a6175aa/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:33:13.437821+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7837.88, "started_at": "2026-05-19T15:33:05.598427+00:00", "ended_at": "2026-05-19T15:33:13.436344+00:00", "prompt_metrics": {"chars": 9205, "bytes_utf8": 9205, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 294, "bytes_utf8": 294, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14619, "cached_input_tokens": 12032, "output_tokens": 250, "reasoning_output_tokens": 173}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"education_level\\\", COUNT(*) AS row_count\\nFROM \\\"m9\\\"\\nGROUP BY \\\"education_level\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned grouped-count template with group_col bound to \\\"education_level\\\" on the single table \\\"m9\\\".\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9d8239258a6175aa/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9d8239258a6175aa/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..a475d9db0d68c5d47f647f21d8004fc7c1544e8c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9d8239258a6175aa/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_9d8239258a6175aa",
+  "api_calls": 0,
+  "input_tokens": 14619,
+  "cached_input_tokens": 12032,
+  "output_tokens": 250,
+  "total_tokens": 14869,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 7837.88,
+  "sql_execution_elapsed_ms_total": 16.75,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9d8239258a6175aa/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9ddee0dec6f3f8f8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9ddee0dec6f3f8f8/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..dc50aafd94581f1d6edf0892b34dbf8dedce5fad
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9ddee0dec6f3f8f8/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": ">20", "support": 3286, "support_share": 0.1715210355987055, "cumulative_support": 3286}, {"value_label": "5", "support": 1430, "support_share": 0.07464244701952187, "cumulative_support": 4716}, {"value_label": "4", "support": 1403, "support_share": 0.07323311410376866, "cumulative_support": 6119}, {"value_label": "3", "support": 1354, "support_share": 0.07067543584925358, "cumulative_support": 7473}, {"value_label": "6", "support": 1216, "support_share": 0.06347217872429273, "cumulative_support": 8689}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9ddee0dec6f3f8f8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9ddee0dec6f3f8f8/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..ba6c921f96b792d95a295c89937a261fe132ddfb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9ddee0dec6f3f8f8/generated_sql.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_cardinality_distinct_share_profile
+-- query_record_id: v2q_m9_9ddee0dec6f3f8f8
+-- problem_id: v2p_m9_82be6ad2ef8fb62d
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "experience" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "experience"
+), ranked AS (
+    SELECT
+        value_label,
+        support,
+        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
+    FROM grouped
+)
+SELECT *
+FROM ranked
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9ddee0dec6f3f8f8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9ddee0dec6f3f8f8/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..f73bd0fec3bf7aacd41cb3b54dee96af457a0c89
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9ddee0dec6f3f8f8/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m9_9ddee0dec6f3f8f8\n-- problem_id: v2p_m9_82be6ad2ef8fb62d\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"experience\" AS value_label, COUNT(*) AS support\n    FROM \"m9\"\n    GROUP BY \"experience\"\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m9_9ddee0dec6f3f8f8\\n-- problem_id: v2p_m9_82be6ad2ef8fb62d\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"experience\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"experience\\\"\\n), ranked AS (\\n    SELECT\\n        value_label,\\n        support,\\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n    FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \">20\", \"support\": 3286, \"support_share\": 0.1715210355987055, \"cumulative_support\": 3286}, {\"value_label\": \"5\", \"support\": 1430, \"support_share\": 0.07464244701952187, \"cumulative_support\": 4716}, {\"value_label\": \"4\", \"support\": 1403, \"support_share\": 0.07323311410376866, \"cumulative_support\": 6119}, {\"value_label\": \"3\", \"support\": 1354, \"support_share\": 0.07067543584925358, \"cumulative_support\": 7473}, {\"value_label\": \"6\", \"support\": 1216, \"support_share\": 0.06347217872429273, \"cumulative_support\": 8689}, {\"value_label\": \"2\", \"support\": 1127, \"support_share\": 0.05882659985384696, \"cumulative_support\": 9816}, {\"value_label\": \"7\", \"support\": 1028, \"support_share\": 0.05365904582941852, \"cumulative_support\": 10844}, {\"value_label\": \"10\", \"support\": 985, \"support_share\": 0.051414552667293036, \"cumulative_support\": 11829}, {\"value_label\": \"9\", \"support\": 980, \"support_share\": 0.0511535650903017, \"cumulative_support\": 12809}, {\"value_label\": \"8\", \"support\": 802, \"support_share\": 0.041862407349410165, \"cumulative_support\": 13611}, {\"value_label\": \"15\", \"support\": 686, \"support_share\": 0.03580749556321119, \"cumulative_support\": 14297}, {\"value_label\": \"11\", \"support\": 664, \"support_share\": 0.03465915022444931, \"cumulative_support\": 14961}, {\"value_label\": \"14\", \"support\": 586, \"support_share\": 0.030587744023384485, \"cumulative_support\": 15547}, {\"value_label\": \"1\", \"support\": 549, \"support_share\": 0.028656435953648605, \"cumulative_support\": 16096}, {\"value_label\": \"<1\", \"support\": 522, \"support_share\": 0.027247103037895397, \"cumulative_support\": 16618}, {\"value_label\": \"16\", \"support\": 508, \"support_share\": 0.026516337822319658, \"cumulative_support\": 17126}, {\"value_label\": \"12\", \"support\": 494, \"support_share\": 0.02578557260674392, \"cumulative_support\": 17620}, {\"value_label\": \"13\", \"support\": 399, \"support_share\": 0.02082680864390855, \"cumulative_support\": 18019}, {\"value_label\": \"17\", \"support\": 342, \"support_share\": 0.017851550266207328, \"cumulative_support\": 18361}, {\"value_label\": \"19\", \"support\": 304, \"support_share\": 0.015868044681073182, \"cumulative_support\": 18665}, {\"value_label\": \"18\", \"support\": 280, \"support_share\": 0.014615304311514771, \"cumulative_support\": 18945}, {\"value_label\": \"20\", \"support\": 148, \"support_share\": 0.007725232278943522, \"cumulative_support\": 19093}, {\"value_label\": \"\", \"support\": 65, \"support_share\": 0.0033928385008873576, \"cumulative_support\": 19158}], \"row_count_returned\": 23, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.34}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9ddee0dec6f3f8f8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9ddee0dec6f3f8f8/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..fb514ace06040b5db3c0d0eb30a25ca0bd108ec3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9ddee0dec6f3f8f8/run_manifest.json
@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.218917+00:00",
+  "ended_at": "2026-05-19T16:08:56.227029+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_9ddee0dec6f3f8f8",
+    "problem_id": "v2p_m9_82be6ad2ef8fb62d",
+    "dataset_id": "m9",
+    "template_id": "tpl_cardinality_distinct_share_profile",
+    "template_name": "Cardinality Distinct Share Profile",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "support_rank_profile_consistency",
+    "intended_facet_id": "support_concentration",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=experience.",
+    "bindings": {
+      "group_col": "experience"
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;",
+    "notes": [
+      "default_facets=support_concentration,value_imbalance_profile",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9ddee0dec6f3f8f8.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9ddee0dec6f3f8f8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9ddee0dec6f3f8f8/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9ddee0dec6f3f8f8/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9dfbc1f67913d660/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9dfbc1f67913d660/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ffbd4a6bfd7dd193edb934bcf7059e75bc7876f1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9dfbc1f67913d660/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"enrolled_university": "no_enrollment", "total_rows": 13817, "missing_rows": 0, "missing_rate": 0.0}, {"enrolled_university": "Full time course", "total_rows": 3757, "missing_rows": 0, "missing_rate": 0.0}, {"enrolled_university": "Part time course", "total_rows": 1198, "missing_rows": 0, "missing_rate": 0.0}, {"enrolled_university": "", "total_rows": 386, "missing_rows": 0, "missing_rate": 0.0}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9dfbc1f67913d660/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9dfbc1f67913d660/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..6e6c8952e4480df2a0c2af8a4d084a64e91563ea
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9dfbc1f67913d660/generated_sql.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_rate_by_subgroup
+-- variant_semantic_role: missing_rate_by_subgroup
+-- template_id: tpl_missing_rate_by_subgroup
+-- query_record_id: v2q_m9_9dfbc1f67913d660
+-- problem_id: v2p_m9_b70fb503bc5d22e3
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "enrolled_university",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "last_new_job" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "last_new_job" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "enrolled_university"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9dfbc1f67913d660/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9dfbc1f67913d660/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..658bddae1768c53fb6c0b694ae0db51972c661ca
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9dfbc1f67913d660/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_m9_9dfbc1f67913d660\n-- problem_id: v2p_m9_b70fb503bc5d22e3\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"enrolled_university\",\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"last_new_job\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"last_new_job\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m9\"\nGROUP BY \"enrolled_university\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_m9_9dfbc1f67913d660\\n-- problem_id: v2p_m9_b70fb503bc5d22e3\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"enrolled_university\\\",\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"last_new_job\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"last_new_job\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m9\\\"\\nGROUP BY \\\"enrolled_university\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"enrolled_university\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"enrolled_university\": \"no_enrollment\", \"total_rows\": 13817, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"enrolled_university\": \"Full time course\", \"total_rows\": 3757, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"enrolled_university\": \"Part time course\", \"total_rows\": 1198, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"enrolled_university\": \"\", \"total_rows\": 386, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.71}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9dfbc1f67913d660/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9dfbc1f67913d660/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..3198e6fd4cf100d10afc0dfbd04ffef943e53d2d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9dfbc1f67913d660/run_manifest.json
@@ -0,0 +1,59 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.047627+00:00",
+  "ended_at": "2026-05-19T16:08:56.056049+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_9dfbc1f67913d660",
+    "problem_id": "v2p_m9_b70fb503bc5d22e3",
+    "dataset_id": "m9",
+    "template_id": "tpl_missing_rate_by_subgroup",
+    "template_name": "Missing Rate by Subgroup",
+    "family_id": "missingness_structure",
+    "canonical_subitem_id": "co_missingness_pattern_consistency",
+    "intended_facet_id": "missing_rate_by_subgroup",
+    "variant_semantic_role": "missing_rate_by_subgroup",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": false,
+    "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=enrolled_university, missing_col=last_new_job.",
+    "bindings": {
+      "missing_col": "last_new_job",
+      "group_col": "enrolled_university"
+    },
+    "binding_roles": [
+      "missing_col",
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;",
+    "notes": [
+      "default_facets=missing_rate_by_subgroup,missing_target_interaction",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=12",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 12,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9dfbc1f67913d660.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9dfbc1f67913d660/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9dfbc1f67913d660/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9dfbc1f67913d660/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9e8ac55f8903ed27/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9e8ac55f8903ed27/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..bd90ecee1b7cdac3115fa1eb06675575eb51e16e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9e8ac55f8903ed27/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=gender, measure_col=city_development_index.
+Result preview: [{"gender": "Male", "percentile_measure": 0.925}, {"gender": "Female", "percentile_measure": 0.9229999999999999}, {"gender": "Other", "percentile_measure": 0.92165}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9e8ac55f8903ed27/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9e8ac55f8903ed27/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..bbed14319a567cc07fe8dad9857465b878868250
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9e8ac55f8903ed27/generated_sql.sql
@@ -0,0 +1,66 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_m9_9e8ac55f8903ed27
+-- problem_id: v2p_m9_da8d66ff21bd779b
+-- realization_mode: agent
+-- source_kind: agent
+WITH "base" AS (
+  SELECT
+    "gender",
+    CAST("city_development_index" AS REAL) AS "measure"
+  FROM "m9"
+  WHERE "target" = '1.0'
+    AND "gender" <> ''
+    AND "city_development_index" <> ''
+),
+"ordered" AS (
+  SELECT
+    "gender",
+    "measure",
+    ROW_NUMBER() OVER (PARTITION BY "gender" ORDER BY "measure") AS "rn",
+    COUNT(*) OVER (PARTITION BY "gender") AS "cnt"
+  FROM "base"
+),
+"positions" AS (
+  SELECT DISTINCT
+    "gender",
+    "cnt",
+    (1.0 + ("cnt" - 1) * 0.95) AS "pos",
+    CAST((1.0 + ("cnt" - 1) * 0.95) AS INTEGER) AS "lower_rn",
+    CAST((1.0 + ("cnt" - 1) * 0.95) AS INTEGER) +
+      CASE
+        WHEN (1.0 + ("cnt" - 1) * 0.95) > CAST((1.0 + ("cnt" - 1) * 0.95) AS INTEGER) THEN 1
+        ELSE 0
+      END AS "upper_rn"
+  FROM "ordered"
+  WHERE "cnt" >= 5
+),
+"bounds" AS (
+  SELECT
+    p."gender",
+    p."cnt",
+    p."pos",
+    p."lower_rn",
+    p."upper_rn",
+    MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."measure" END) AS "lower_value",
+    MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."measure" END) AS "upper_value"
+  FROM "positions" AS p
+  JOIN "ordered" AS o
+    ON o."gender" = p."gender"
+  GROUP BY p."gender", p."cnt", p."pos", p."lower_rn", p."upper_rn"
+)
+SELECT
+  b."gender",
+  CASE
+    WHEN b."lower_rn" = b."upper_rn" THEN b."lower_value"
+    ELSE b."lower_value" + (b."pos" - b."lower_rn") * (b."upper_value" - b."lower_value")
+  END AS "percentile_measure"
+FROM "bounds" AS b
+ORDER BY "percentile_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9e8ac55f8903ed27/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9e8ac55f8903ed27/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..71966d0847cabf2ab0642f22272bb02f8800944d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9e8ac55f8903ed27/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n  SELECT\n    \"gender\",\n    CAST(\"city_development_index\" AS REAL) AS \"measure\"\n  FROM \"m9\"\n  WHERE \"target\" = '1.0'\n    AND \"gender\" <> ''\n    AND \"city_development_index\" <> ''\n),\n\"ordered\" AS (\n  SELECT\n    \"gender\",\n    \"measure\",\n    ROW_NUMBER() OVER (PARTITION BY \"gender\" ORDER BY \"measure\") AS \"rn\",\n    COUNT(*) OVER (PARTITION BY \"gender\") AS \"cnt\"\n  FROM \"base\"\n),\n\"positions\" AS (\n  SELECT DISTINCT\n    \"gender\",\n    \"cnt\",\n    (1.0 + (\"cnt\" - 1) * 0.95) AS \"pos\",\n    CAST((1.0 + (\"cnt\" - 1) * 0.95) AS INTEGER) AS \"lower_rn\",\n    CAST((1.0 + (\"cnt\" - 1) * 0.95) AS INTEGER) +\n      CASE\n        WHEN (1.0 + (\"cnt\" - 1) * 0.95) > CAST((1.0 + (\"cnt\" - 1) * 0.95) AS INTEGER) THEN 1\n        ELSE 0\n      END AS \"upper_rn\"\n  FROM \"ordered\"\n  WHERE \"cnt\" >= 5\n),\n\"bounds\" AS (\n  SELECT\n    p.\"gender\",\n    p.\"cnt\",\n    p.\"pos\",\n    p.\"lower_rn\",\n    p.\"upper_rn\",\n    MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure\" END) AS \"lower_value\",\n    MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"measure\" END) AS \"upper_value\"\n  FROM \"positions\" AS p\n  JOIN \"ordered\" AS o\n    ON o.\"gender\" = p.\"gender\"\n  GROUP BY p.\"gender\", p.\"cnt\", p.\"pos\", p.\"lower_rn\", p.\"upper_rn\"\n)\nSELECT\n  b.\"gender\",\n  CASE\n    WHEN b.\"lower_rn\" = b.\"upper_rn\" THEN b.\"lower_value\"\n    ELSE b.\"lower_value\" + (b.\"pos\" - b.\"lower_rn\") * (b.\"upper_value\" - b.\"lower_value\")\n  END AS \"percentile_measure\"\nFROM \"bounds\" AS b\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    \\\"gender\\\",\\n    CAST(\\\"city_development_index\\\" AS REAL) AS \\\"measure\\\"\\n  FROM \\\"m9\\\"\\n  WHERE \\\"target\\\" = '1.0'\\n    AND \\\"gender\\\" <> ''\\n    AND \\\"city_development_index\\\" <> ''\\n),\\n\\\"ordered\\\" AS (\\n  SELECT\\n    \\\"gender\\\",\\n    \\\"measure\\\",\\n    ROW_NUMBER() OVER (PARTITION BY \\\"gender\\\" ORDER BY \\\"measure\\\") AS \\\"rn\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"gender\\\") AS \\\"cnt\\\"\\n  FROM \\\"base\\\"\\n),\\n\\\"positions\\\" AS (\\n  SELECT DISTINCT\\n    \\\"gender\\\",\\n    \\\"cnt\\\",\\n    (1.0 + (\\\"cnt\\\" - 1) * 0.95) AS \\\"pos\\\",\\n    CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER) AS \\\"lower_rn\\\",\\n    CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER) +\\n      CASE\\n        WHEN (1.0 + (\\\"cnt\\\" - 1) * 0.95) > CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER) THEN 1\\n        ELSE 0\\n      END AS \\\"upper_rn\\\"\\n  FROM \\\"ordered\\\"\\n  WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"bounds\\\" AS (\\n  SELECT\\n    p.\\\"gender\\\",\\n    p.\\\"cnt\\\",\\n    p.\\\"pos\\\",\\n    p.\\\"lower_rn\\\",\\n    p.\\\"upper_rn\\\",\\n    MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure\\\" END) AS \\\"lower_value\\\",\\n    MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"measure\\\" END) AS \\\"upper_value\\\"\\n  FROM \\\"positions\\\" AS p\\n  JOIN \\\"ordered\\\" AS o\\n    ON o.\\\"gender\\\" = p.\\\"gender\\\"\\n  GROUP BY p.\\\"gender\\\", p.\\\"cnt\\\", p.\\\"pos\\\", p.\\\"lower_rn\\\", p.\\\"upper_rn\\\"\\n)\\nSELECT\\n  b.\\\"gender\\\",\\n  CASE\\n    WHEN b.\\\"lower_rn\\\" = b.\\\"upper_rn\\\" THEN b.\\\"lower_value\\\"\\n    ELSE b.\\\"lower_value\\\" + (b.\\\"pos\\\" - b.\\\"lower_rn\\\") * (b.\\\"upper_value\\\" - b.\\\"lower_value\\\")\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\" AS b\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"gender\", \"percentile_measure\"], \"rows\": [{\"gender\": \"Male\", \"percentile_measure\": 0.925}, {\"gender\": \"Female\", \"percentile_measure\": 0.9229999999999999}, {\"gender\": \"Other\", \"percentile_measure\": 0.92165}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 16.1}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9e8ac55f8903ed27/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9e8ac55f8903ed27/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..780c0d5e2e539b8dec8f51f4d4ce371e47bc2c36
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9e8ac55f8903ed27/run_manifest.json
@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:52:00.399969+00:00",
+  "ended_at": "2026-05-19T15:53:00.332368+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_9e8ac55f8903ed27",
+    "problem_id": "v2p_m9_da8d66ff21bd779b",
+    "dataset_id": "m9",
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_concentration_consistency",
+    "intended_facet_id": "rare_target_concentration",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=gender, measure_col=city_development_index.",
+    "bindings": {
+      "group_col": "gender",
+      "measure_col": "city_development_index",
+      "top_k": 15,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "notes": [
+      "default_facets=rare_target_concentration",
+      "template_selection_mode=rule",
+      "problem_index_within_template=2",
+      "sql_variant_index=2/2",
+      "binding_index=85"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 2,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9e8ac55f8903ed27.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_9e8ac55f8903ed27",
+    "api_calls": 0,
+    "input_tokens": 14686,
+    "cached_input_tokens": 13696,
+    "output_tokens": 3630,
+    "total_tokens": 18316,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 59911.59,
+    "sql_execution_elapsed_ms_total": 16.1,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9e8ac55f8903ed27/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9e8ac55f8903ed27/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9e8ac55f8903ed27/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..9d8d74eba18f38f65dd4d3e63741387af277d3f0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9e8ac55f8903ed27/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:53:00.314705+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 59911.59, "started_at": "2026-05-19T15:52:00.402272+00:00", "ended_at": "2026-05-19T15:53:00.313891+00:00", "prompt_metrics": {"chars": 9486, "bytes_utf8": 9486, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 2131, "bytes_utf8": 2131, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14686, "cached_input_tokens": 13696, "output_tokens": 3630, "reasoning_output_tokens": 2935}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    \\\"gender\\\",\\n    CAST(\\\"city_development_index\\\" AS REAL) AS \\\"measure\\\"\\n  FROM \\\"m9\\\"\\n  WHERE \\\"target\\\" = '1.0'\\n    AND \\\"gender\\\" <> ''\\n    AND \\\"city_development_index\\\" <> ''\\n),\\n\\\"ordered\\\" AS (\\n  SELECT\\n    \\\"gender\\\",\\n    \\\"measure\\\",\\n    ROW_NUMBER() OVER (PARTITION BY \\\"gender\\\" ORDER BY \\\"measure\\\") AS \\\"rn\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"gender\\\") AS \\\"cnt\\\"\\n  FROM \\\"base\\\"\\n),\\n\\\"positions\\\" AS (\\n  SELECT DISTINCT\\n    \\\"gender\\\",\\n    \\\"cnt\\\",\\n    (1.0 + (\\\"cnt\\\" - 1) * 0.95) AS \\\"pos\\\",\\n    CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER) AS \\\"lower_rn\\\",\\n    CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER) +\\n      CASE\\n        WHEN (1.0 + (\\\"cnt\\\" - 1) * 0.95) > CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER) THEN 1\\n        ELSE 0\\n      END AS \\\"upper_rn\\\"\\n  FROM \\\"ordered\\\"\\n  WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"bounds\\\" AS (\\n  SELECT\\n    p.\\\"gender\\\",\\n    p.\\\"cnt\\\",\\n    "}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9e8ac55f8903ed27/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9e8ac55f8903ed27/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..2d9e30e3dd19458b2f6d28b7999bf8415addb652
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9e8ac55f8903ed27/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_9e8ac55f8903ed27",
+  "api_calls": 0,
+  "input_tokens": 14686,
+  "cached_input_tokens": 13696,
+  "output_tokens": 3630,
+  "total_tokens": 18316,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 59911.59,
+  "sql_execution_elapsed_ms_total": 16.1,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_9e8ac55f8903ed27/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a1b2831d70a04b8d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a1b2831d70a04b8d/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f0c8bb7332f5b3f57a43593f4d28de44fb09f215
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a1b2831d70a04b8d/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": ">20", "support": 3286, "support_share": 0.1715210355987055, "support_rank": 1}, {"value_label": "5", "support": 1430, "support_share": 0.07464244701952187, "support_rank": 2}, {"value_label": "4", "support": 1403, "support_share": 0.07323311410376866, "support_rank": 3}, {"value_label": "3", "support": 1354, "support_share": 0.07067543584925358, "support_rank": 4}, {"value_label": "6", "support": 1216, "support_share": 0.06347217872429273, "support_rank": 5}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a1b2831d70a04b8d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a1b2831d70a04b8d/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..fc2ff998e50a42704e2dd20e98767803b35fde47
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a1b2831d70a04b8d/generated_sql.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_m9_a1b2831d70a04b8d
+-- problem_id: v2p_m9_1468c735de432927
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "experience" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "experience"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a1b2831d70a04b8d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a1b2831d70a04b8d/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..5e0ec738e57dc59fc8b3c79a694993680aa9d510
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a1b2831d70a04b8d/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m9_a1b2831d70a04b8d\n-- problem_id: v2p_m9_1468c735de432927\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"experience\" AS value_label, COUNT(*) AS support\n    FROM \"m9\"\n    GROUP BY \"experience\"\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m9_a1b2831d70a04b8d\\n-- problem_id: v2p_m9_1468c735de432927\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"experience\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"experience\\\"\\n)\\nSELECT\\n    value_label,\\n    support,\\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \">20\", \"support\": 3286, \"support_share\": 0.1715210355987055, \"support_rank\": 1}, {\"value_label\": \"5\", \"support\": 1430, \"support_share\": 0.07464244701952187, \"support_rank\": 2}, {\"value_label\": \"4\", \"support\": 1403, \"support_share\": 0.07323311410376866, \"support_rank\": 3}, {\"value_label\": \"3\", \"support\": 1354, \"support_share\": 0.07067543584925358, \"support_rank\": 4}, {\"value_label\": \"6\", \"support\": 1216, \"support_share\": 0.06347217872429273, \"support_rank\": 5}, {\"value_label\": \"2\", \"support\": 1127, \"support_share\": 0.05882659985384696, \"support_rank\": 6}, {\"value_label\": \"7\", \"support\": 1028, \"support_share\": 0.05365904582941852, \"support_rank\": 7}, {\"value_label\": \"10\", \"support\": 985, \"support_share\": 0.051414552667293036, \"support_rank\": 8}, {\"value_label\": \"9\", \"support\": 980, \"support_share\": 0.0511535650903017, \"support_rank\": 9}, {\"value_label\": \"8\", \"support\": 802, \"support_share\": 0.041862407349410165, \"support_rank\": 10}, {\"value_label\": \"15\", \"support\": 686, \"support_share\": 0.03580749556321119, \"support_rank\": 11}, {\"value_label\": \"11\", \"support\": 664, \"support_share\": 0.03465915022444931, \"support_rank\": 12}, {\"value_label\": \"14\", \"support\": 586, \"support_share\": 0.030587744023384485, \"support_rank\": 13}, {\"value_label\": \"1\", \"support\": 549, \"support_share\": 0.028656435953648605, \"support_rank\": 14}, {\"value_label\": \"<1\", \"support\": 522, \"support_share\": 0.027247103037895397, \"support_rank\": 15}, {\"value_label\": \"16\", \"support\": 508, \"support_share\": 0.026516337822319658, \"support_rank\": 16}, {\"value_label\": \"12\", \"support\": 494, \"support_share\": 0.02578557260674392, \"support_rank\": 17}, {\"value_label\": \"13\", \"support\": 399, \"support_share\": 0.02082680864390855, \"support_rank\": 18}, {\"value_label\": \"17\", \"support\": 342, \"support_share\": 0.017851550266207328, \"support_rank\": 19}, {\"value_label\": \"19\", \"support\": 304, \"support_share\": 0.015868044681073182, \"support_rank\": 20}, {\"value_label\": \"18\", \"support\": 280, \"support_share\": 0.014615304311514771, \"support_rank\": 21}, {\"value_label\": \"20\", \"support\": 148, \"support_share\": 0.007725232278943522, \"support_rank\": 22}, {\"value_label\": \"\", \"support\": 65, \"support_share\": 0.0033928385008873576, \"support_rank\": 23}], \"row_count_returned\": 23, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.86}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a1b2831d70a04b8d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a1b2831d70a04b8d/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..d409b14dc4a2e3a619782ae7e6d8c0087c768535
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a1b2831d70a04b8d/run_manifest.json
@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.320331+00:00",
+  "ended_at": "2026-05-19T16:08:56.330005+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_a1b2831d70a04b8d",
+    "problem_id": "v2p_m9_1468c735de432927",
+    "dataset_id": "m9",
+    "template_id": "tpl_cardinality_support_rank_profile",
+    "template_name": "Cardinality Support Rank Profile",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "support_rank_profile_consistency",
+    "intended_facet_id": "support_concentration",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=experience.",
+    "bindings": {
+      "group_col": "experience"
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;",
+    "notes": [
+      "default_facets=support_concentration,value_imbalance_profile",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a1b2831d70a04b8d.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a1b2831d70a04b8d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a1b2831d70a04b8d/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a1b2831d70a04b8d/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a2d687442580ddb8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a2d687442580ddb8/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8c1c50187e5389e5a2f5d4bc4c113d5352b3054d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a2d687442580ddb8/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=education_level, condition_col=gender.
+Result preview: [{"education_level": "Phd", "condition_ratio": 3.3734939759036147}, {"education_level": "Graduate", "condition_ratio": 3.1701050992604127}, {"education_level": "Masters", "condition_ratio": 2.848747591522158}, {"education_level": "High School", "condition_ratio": 2.6724137931034484}, {"education_level": "Primary School", "condition_ratio": 2.136842105263158}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a2d687442580ddb8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a2d687442580ddb8/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..5ba298d52e29e97315d4f11747867010263618d6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a2d687442580ddb8/generated_sql.sql
@@ -0,0 +1,24 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: contrastive_conditional_view
+-- template_id: tpl_m4_group_ratio_two_conditions
+-- query_record_id: v2q_m9_a2d687442580ddb8
+-- problem_id: v2p_m9_805b805d42f07077
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "education_level",
+           SUM(CASE WHEN "gender" = 'Male' THEN 1 ELSE 0 END) AS numerator_count,
+           SUM(CASE WHEN "gender" = '' THEN 1 ELSE 0 END) AS denominator_count
+    FROM "m9"
+    GROUP BY "education_level"
+)
+SELECT "education_level",
+       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio
+FROM grouped
+ORDER BY condition_ratio DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a2d687442580ddb8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a2d687442580ddb8/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..84ac1f9334ab766a239759e112255e2c3d037a20
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a2d687442580ddb8/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n    SELECT \"education_level\",\n           SUM(CASE WHEN \"gender\" = 'Male' THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN \"gender\" = '' THEN 1 ELSE 0 END) AS denominator_count\n    FROM \"m9\"\n    GROUP BY \"education_level\"\n)\nSELECT \"education_level\",\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT \\\"education_level\\\",\\n           SUM(CASE WHEN \\\"gender\\\" = 'Male' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"gender\\\" = '' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"education_level\\\"\\n)\\nSELECT \\\"education_level\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"education_level\", \"condition_ratio\"], \"rows\": [{\"education_level\": \"Phd\", \"condition_ratio\": 3.3734939759036147}, {\"education_level\": \"Graduate\", \"condition_ratio\": 3.1701050992604127}, {\"education_level\": \"Masters\", \"condition_ratio\": 2.848747591522158}, {\"education_level\": \"High School\", \"condition_ratio\": 2.6724137931034484}, {\"education_level\": \"Primary School\", \"condition_ratio\": 2.136842105263158}, {\"education_level\": \"\", \"condition_ratio\": 1.2039800995024876}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.41}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a2d687442580ddb8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a2d687442580ddb8/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..d8bcec5eec6946ddff994bccc545cc8f2466250a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a2d687442580ddb8/run_manifest.json
@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:40:52.576130+00:00",
+  "ended_at": "2026-05-19T15:41:12.527495+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_a2d687442580ddb8",
+    "problem_id": "v2p_m9_805b805d42f07077",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "contrastive_conditional_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=education_level, condition_col=gender.",
+    "bindings": {
+      "group_col": "education_level",
+      "condition_col": "gender",
+      "condition_value": "Male",
+      "positive_value": "Male",
+      "negative_value": "",
+      "top_k": 10,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=1/1",
+      "binding_index=40"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 4,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a2d687442580ddb8.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_a2d687442580ddb8",
+    "api_calls": 0,
+    "input_tokens": 14851,
+    "cached_input_tokens": 12032,
+    "output_tokens": 490,
+    "total_tokens": 15341,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 19936.68,
+    "sql_execution_elapsed_ms_total": 10.41,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a2d687442580ddb8/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a2d687442580ddb8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a2d687442580ddb8/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..f184f199cca57b36cf5746be65a31c469b7003a5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a2d687442580ddb8/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:41:12.515447+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 19936.68, "started_at": "2026-05-19T15:40:52.577856+00:00", "ended_at": "2026-05-19T15:41:12.514562+00:00", "prompt_metrics": {"chars": 10102, "bytes_utf8": 10102, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 750, "bytes_utf8": 750, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14851, "cached_input_tokens": 12032, "output_tokens": 490, "reasoning_output_tokens": 303}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT \\\"education_level\\\",\\n           SUM(CASE WHEN \\\"gender\\\" = 'Male' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"gender\\\" = '' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"education_level\\\"\\n)\\nSELECT \\\"education_level\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the planned grouped-ratio template with group_col=\\\"education_level\\\" and condition_col=\\\"gender\\\", computing the ratio of 'Male' rows to rows where gender is the empty string within each education level. NULLIF prevents division-by-zero.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a2d687442580ddb8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a2d687442580ddb8/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..8ffe9884b59831bff43991bf540bbd634bdb6714
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a2d687442580ddb8/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_a2d687442580ddb8",
+  "api_calls": 0,
+  "input_tokens": 14851,
+  "cached_input_tokens": 12032,
+  "output_tokens": 490,
+  "total_tokens": 15341,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 19936.68,
+  "sql_execution_elapsed_ms_total": 10.41,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a2d687442580ddb8/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a355308c25614b0f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a355308c25614b0f/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3cd8ee8ea4a01532e22ee88450621908e2bc6a8b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a355308c25614b0f/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"city": "city_103", "support": 4355, "avg_response": 0.92}, {"city": "city_21", "support": 2702, "avg_response": 0.624}, {"city": "city_16", "support": 1533, "avg_response": 0.91}, {"city": "city_114", "support": 1336, "avg_response": 0.9259999999999999}, {"city": "city_160", "support": 845, "avg_response": 0.9199999999999999}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a355308c25614b0f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a355308c25614b0f/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..8e4a17a15906a783b93f4331573134e185850c90
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a355308c25614b0f/generated_sql.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: high_cardinality_response_stability
+-- intended_facet_id: target_cardinality_cross_section
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_cardinality_high_card_response_stability
+-- query_record_id: v2q_m9_a355308c25614b0f
+-- problem_id: v2p_m9_e4be192fa22722bd
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "city",
+    COUNT(*) AS support,
+    AVG("city_development_index") AS avg_response
+FROM "m9"
+GROUP BY "city"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a355308c25614b0f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a355308c25614b0f/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..4872f102bca3e2332c46ab5430b0f563a242a3ee
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a355308c25614b0f/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m9_a355308c25614b0f\n-- problem_id: v2p_m9_e4be192fa22722bd\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"city\",\n    COUNT(*) AS support,\n    AVG(\"city_development_index\") AS avg_response\nFROM \"m9\"\nGROUP BY \"city\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m9_a355308c25614b0f\\n-- problem_id: v2p_m9_e4be192fa22722bd\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"city\\\",\\n    COUNT(*) AS support,\\n    AVG(\\\"city_development_index\\\") AS avg_response\\nFROM \\\"m9\\\"\\nGROUP BY \\\"city\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"city\", \"support\", \"avg_response\"], \"rows\": [{\"city\": \"city_103\", \"support\": 4355, \"avg_response\": 0.92}, {\"city\": \"city_21\", \"support\": 2702, \"avg_response\": 0.624}, {\"city\": \"city_16\", \"support\": 1533, \"avg_response\": 0.91}, {\"city\": \"city_114\", \"support\": 1336, \"avg_response\": 0.9259999999999999}, {\"city\": \"city_160\", \"support\": 845, \"avg_response\": 0.9199999999999999}, {\"city\": \"city_136\", \"support\": 586, \"avg_response\": 0.8970000000000001}, {\"city\": \"city_67\", \"support\": 431, \"avg_response\": 0.855}, {\"city\": \"city_75\", \"support\": 305, \"avg_response\": 0.9390000000000002}, {\"city\": \"city_102\", \"support\": 304, \"avg_response\": 0.804}, {\"city\": \"city_104\", \"support\": 301, \"avg_response\": 0.924}, {\"city\": \"city_73\", \"support\": 280, \"avg_response\": 0.754}, {\"city\": \"city_100\", \"support\": 275, \"avg_response\": 0.887}, {\"city\": \"city_71\", \"support\": 266, \"avg_response\": 0.884}, {\"city\": \"city_11\", \"support\": 247, \"avg_response\": 0.55}, {\"city\": \"city_61\", \"support\": 197, \"avg_response\": 0.9129999999999999}, {\"city\": \"city_90\", \"support\": 197, \"avg_response\": 0.698}, {\"city\": \"city_28\", \"support\": 192, \"avg_response\": 0.9390000000000001}, {\"city\": \"city_23\", \"support\": 182, \"avg_response\": 0.899}, {\"city\": \"city_65\", \"support\": 175, \"avg_response\": 0.8019999999999999}, {\"city\": \"city_36\", \"support\": 160, \"avg_response\": 0.893}, {\"city\": \"city_173\", \"support\": 151, \"avg_response\": 0.878}, {\"city\": \"city_83\", \"support\": 143, \"avg_response\": 0.923}, {\"city\": \"city_50\", \"support\": 140, \"avg_response\": 0.8959999999999999}, {\"city\": \"city_162\", \"support\": 128, \"avg_response\": 0.767}, {\"city\": \"city_46\", \"support\": 128, \"avg_response\": 0.762}, {\"city\": \"city_116\", \"support\": 128, \"avg_response\": 0.743}, {\"city\": \"city_138\", \"support\": 120, \"avg_response\": 0.836}, {\"city\": \"city_19\", \"support\": 119, \"avg_response\": 0.682}, {\"city\": \"city_64\", \"support\": 114, \"avg_response\": 0.6659999999999999}, {\"city\": \"city_45\", \"support\": 113, \"avg_response\": 0.89}, {\"city\": \"city_97\", \"support\": 104, \"avg_response\": 0.925}, {\"city\": \"city_74\", \"support\": 104, \"avg_response\": 0.579}, {\"city\": \"city_57\", \"support\": 103, \"avg_response\": 0.8659999999999999}, {\"city\": \"city_149\", \"support\": 102, \"avg_response\": 0.6890000000000001}, {\"city\": \"city_99\", \"support\": 94, \"avg_response\": 0.915}, {\"city\": \"city_159\", \"support\": 94, \"avg_response\": 0.8429999999999999}, {\"city\": \"city_128\", \"support\": 92, \"avg_response\": 0.527}, {\"city\": \"city_41\", \"support\": 89, \"avg_response\": 0.8270000000000001}, {\"city\": \"city_10\", \"support\": 86, \"avg_response\": 0.895}, {\"city\": \"city_165\", \"support\": 82, \"avg_response\": 0.903}, {\"city\": \"city_98\", \"support\": 79, \"avg_response\": 0.9490000000000001}, {\"city\": \"city_105\", \"support\": 79, \"avg_response\": 0.794}, {\"city\": \"city_123\", \"support\": 79, \"avg_response\": 0.738}, {\"city\": \"city_101\", \"support\": 75, \"avg_response\": 0.5579999999999999}, {\"city\": \"city_40\", \"support\": 68, \"avg_response\": 0.7759999999999999}, {\"city\": \"city_89\", \"support\": 67, \"avg_response\": 0.925}, {\"city\": \"city_150\", \"support\": 65, \"avg_response\": 0.698}, {\"city\": \"city_145\", \"support\": 63, \"avg_response\": 0.555}, {\"city\": \"city_24\", \"support\": 62, \"avg_response\": 0.698}, {\"city\": \"city_115\", \"support\": 54, \"avg_response\": 0.789}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 10.88}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a355308c25614b0f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a355308c25614b0f/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..1434085eb13e549af5de14bb154e278b14163873
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a355308c25614b0f/run_manifest.json
@@ -0,0 +1,60 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.414137+00:00",
+  "ended_at": "2026-05-19T16:08:56.425824+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_a355308c25614b0f",
+    "problem_id": "v2p_m9_e4be192fa22722bd",
+    "dataset_id": "m9",
+    "template_id": "tpl_cardinality_high_card_response_stability",
+    "template_name": "High-Cardinality Response Stability",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "high_cardinality_response_stability",
+    "intended_facet_id": "target_cardinality_cross_section",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=city_development_index, key_col=city.",
+    "bindings": {
+      "key_col": "city",
+      "measure_col": "city_development_index",
+      "min_support": 5
+    },
+    "binding_roles": [
+      "key_col",
+      "target_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {key_col},\n    COUNT(*) AS support,\n    AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;",
+    "notes": [
+      "default_facets=target_cardinality_cross_section",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=4",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a355308c25614b0f.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a355308c25614b0f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a355308c25614b0f/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a355308c25614b0f/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5488c171fd419b7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5488c171fd419b7/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..277b236d32b4f73ceda9eb28828635f880bc5c0f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5488c171fd419b7/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "1", "support": 8040, "support_share": 0.419668023802067, "support_rank": 1}, {"value_label": ">4", "support": 3290, "support_share": 0.17172982566029857, "support_rank": 2}, {"value_label": "2", "support": 2900, "support_share": 0.1513727946549744, "support_rank": 3}, {"value_label": "never", "support": 2452, "support_share": 0.1279883077565508, "support_rank": 4}, {"value_label": "4", "support": 1029, "support_share": 0.053711243344816785, "support_rank": 5}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5488c171fd419b7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5488c171fd419b7/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..7af23ce5e4584e911c63e325c0ab42a95c5f3903
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5488c171fd419b7/generated_sql.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_m9_a5488c171fd419b7
+-- problem_id: v2p_m9_b2657bb9381fba1a
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "last_new_job" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "last_new_job"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5488c171fd419b7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5488c171fd419b7/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..2aefbf75674f7ce6b71d697e5cc33dbe4369c318
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5488c171fd419b7/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m9_a5488c171fd419b7\n-- problem_id: v2p_m9_b2657bb9381fba1a\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"last_new_job\" AS value_label, COUNT(*) AS support\n    FROM \"m9\"\n    GROUP BY \"last_new_job\"\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m9_a5488c171fd419b7\\n-- problem_id: v2p_m9_b2657bb9381fba1a\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"last_new_job\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"last_new_job\\\"\\n)\\nSELECT\\n    value_label,\\n    support,\\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"1\", \"support\": 8040, \"support_share\": 0.419668023802067, \"support_rank\": 1}, {\"value_label\": \">4\", \"support\": 3290, \"support_share\": 0.17172982566029857, \"support_rank\": 2}, {\"value_label\": \"2\", \"support\": 2900, \"support_share\": 0.1513727946549744, \"support_rank\": 3}, {\"value_label\": \"never\", \"support\": 2452, \"support_share\": 0.1279883077565508, \"support_rank\": 4}, {\"value_label\": \"4\", \"support\": 1029, \"support_share\": 0.053711243344816785, \"support_rank\": 5}, {\"value_label\": \"3\", \"support\": 1024, \"support_share\": 0.05345025576782545, \"support_rank\": 6}, {\"value_label\": \"\", \"support\": 423, \"support_share\": 0.02207954901346696, \"support_rank\": 7}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.46}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5488c171fd419b7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5488c171fd419b7/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..3c54a4049285191fc225e1145bf349e9a423265b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5488c171fd419b7/run_manifest.json
@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.346307+00:00",
+  "ended_at": "2026-05-19T16:08:56.354635+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_a5488c171fd419b7",
+    "problem_id": "v2p_m9_b2657bb9381fba1a",
+    "dataset_id": "m9",
+    "template_id": "tpl_cardinality_support_rank_profile",
+    "template_name": "Cardinality Support Rank Profile",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "support_rank_profile_consistency",
+    "intended_facet_id": "value_imbalance_profile",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=last_new_job.",
+    "bindings": {
+      "group_col": "last_new_job"
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;",
+    "notes": [
+      "default_facets=support_concentration,value_imbalance_profile",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=10",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 10,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a5488c171fd419b7.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5488c171fd419b7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5488c171fd419b7/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5488c171fd419b7/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5cc86f444066e39/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5cc86f444066e39/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..afc2a7d70e3874a6d71cd97d0a2fb24511e7f5fc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5cc86f444066e39/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"city_development_index\", SUM(\"enrollee_id\") AS total_measure\nFROM \"m9\"\nGROUP BY \"city_development_index\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"city_development_index\\\", SUM(\\\"enrollee_id\\\") AS total_measure\\nFROM \\\"m9\\\"\\nGROUP BY \\\"city_development_index\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"city_development_index\", \"total_measure\"], \"rows\": [{\"city_development_index\": \"0.92\", \"total_measure\": 88549363}, {\"city_development_index\": \"0.624\", \"total_measure\": 48522501}, {\"city_development_index\": \"0.91\", \"total_measure\": 26141445}, {\"city_development_index\": \"0.9259999999999999\", \"total_measure\": 22746055}, {\"city_development_index\": \"0.698\", \"total_measure\": 11041718}, {\"city_development_index\": \"0.897\", \"total_measure\": 10373970}, {\"city_development_index\": \"0.9390000000000001\", \"total_measure\": 8066149}, {\"city_development_index\": \"0.855\", \"total_measure\": 6008244}, {\"city_development_index\": \"0.804\", \"total_measure\": 4779330}, {\"city_development_index\": \"0.924\", \"total_measure\": 4720653}, {\"city_development_index\": \"0.754\", \"total_measure\": 4585048}, {\"city_development_index\": \"0.884\", \"total_measure\": 4452462}, {\"city_development_index\": \"0.887\", \"total_measure\": 4294841}, {\"city_development_index\": \"0.55\", \"total_measure\": 4183927}, {\"city_development_index\": \"0.9129999999999999\", \"total_measure\": 3280704}, {\"city_development_index\": \"0.925\", \"total_measure\": 2814004}, {\"city_development_index\": \"0.802\", \"total_measure\": 2743980}, {\"city_development_index\": \"0.8959999999999999\", \"total_measure\": 2500352}, {\"city_development_index\": \"0.893\", \"total_measure\": 2479389}, {\"city_development_index\": \"0.878\", \"total_measure\": 2430870}, {\"city_development_index\": \"0.899\", \"total_measure\": 2381588}, {\"city_development_index\": \"0.579\", \"total_measure\": 2369834}, {\"city_development_index\": \"0.8270000000000001\", \"total_measure\": 2364109}, {\"city_development_index\": \"0.9229999999999999\", \"total_measure\": 2296328}, {\"city_development_index\": \"0.682\", \"total_measure\": 2231130}, {\"city_development_index\": \"0.762\", \"total_measure\": 2190110}, {\"city_development_index\": \"0.743\", \"total_measure\": 2181761}, {\"city_development_index\": \"0.6659999999999999\", \"total_measure\": 2166567}, {\"city_development_index\": \"0.767\", \"total_measure\": 2073302}, {\"city_development_index\": \"0.836\", \"total_measure\": 2043336}, {\"city_development_index\": \"0.6890000000000001\", \"total_measure\": 1826228}, {\"city_development_index\": \"0.527\", \"total_measure\": 1644363}, {\"city_development_index\": \"0.843\", \"total_measure\": 1589385}, {\"city_development_index\": \"0.866\", \"total_measure\": 1569835}, {\"city_development_index\": \"0.89\", \"total_measure\": 1542740}, {\"city_development_index\": \"0.915\", \"total_measure\": 1536694}, {\"city_development_index\": \"0.794\", \"total_measure\": 1378952}, {\"city_development_index\": \"0.903\", \"total_measure\": 1366498}, {\"city_development_index\": \"0.895\", \"total_measure\": 1300315}, {\"city_development_index\": \"0.7759999999999999\", \"total_measure\": 1287099}, {\"city_development_index\": \"0.555\", \"total_measure\": 1274818}, {\"city_development_index\": \"0.9490000000000001\", \"total_measure\": 1249400}, {\"city_development_index\": \"0.738\", \"total_measure\": 1231326}, {\"city_development_index\": \"0.74\", \"total_measure\": 1227806}, {\"city_development_index\": \"0.5579999999999999\", \"total_measure\": 1166114}, {\"city_development_index\": \"0.789\", \"total_measure\": 901940}, {\"city_development_index\": \"0.727\", \"total_measure\": 895117}, {\"city_development_index\": \"0.7659999999999999\", \"total_measure\": 875314}, {\"city_development_index\": \"0.848\", \"total_measure\": 851173}, {\"city_development_index\": \"0.691\", \"total_measure\": 802610}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 13.16}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5cc86f444066e39/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5cc86f444066e39/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..47f5c1088508db7420dde2054e75f432fc62b17d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5cc86f444066e39/run_manifest.json
@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:28:32.287802+00:00",
+  "ended_at": "2026-05-19T15:28:42.801172+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_a5cc86f444066e39",
+    "problem_id": "v2p_m9_cbdf9c3865cd4e42",
+    "dataset_id": "m9",
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "internal_profile_stability",
+    "intended_facet_id": "subgroup_rank_order",
+    "variant_semantic_role": "collapsed_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=city_development_index, measure_col=enrollee_id.",
+    "bindings": {
+      "group_col": "city_development_index",
+      "measure_col": "enrollee_id",
+      "top_k": 15,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 22283.62,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+      "template_selection_mode=rule",
+      "problem_index_within_template=1",
+      "sql_variant_index=2/2",
+      "binding_index=0"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 1,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a5cc86f444066e39.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_a5cc86f444066e39",
+    "api_calls": 0,
+    "input_tokens": 14654,
+    "cached_input_tokens": 0,
+    "output_tokens": 402,
+    "total_tokens": 15056,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 10495.27,
+    "sql_execution_elapsed_ms_total": 13.16,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5cc86f444066e39/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5cc86f444066e39/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5cc86f444066e39/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..f023c8fb22e48e5fc05cc3aec41b67f0b91cd8e7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5cc86f444066e39/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:28:42.786052+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10495.27, "started_at": "2026-05-19T15:28:32.289796+00:00", "ended_at": "2026-05-19T15:28:42.785102+00:00", "prompt_metrics": {"chars": 9320, "bytes_utf8": 9320, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 356, "bytes_utf8": 356, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14654, "cached_input_tokens": 0, "output_tokens": 402, "reasoning_output_tokens": 305}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"city_development_index\\\", SUM(\\\"enrollee_id\\\") AS total_measure\\nFROM \\\"m9\\\"\\nGROUP BY \\\"city_development_index\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required grouped numeric sum template with group_col=\\\"city_development_index\\\" and measure_col=\\\"enrollee_id\\\" on the single table \\\"m9\\\".\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5cc86f444066e39/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5cc86f444066e39/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..6aa62ad74535992f82f504d127e2e106aa61fd42
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5cc86f444066e39/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_a5cc86f444066e39",
+  "api_calls": 0,
+  "input_tokens": 14654,
+  "cached_input_tokens": 0,
+  "output_tokens": 402,
+  "total_tokens": 15056,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 10495.27,
+  "sql_execution_elapsed_ms_total": 13.16,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_a5cc86f444066e39/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_aaf6461496396e2e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_aaf6461496396e2e/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..808f7a1f53a9291cdddc6bf5a9ed3f93ce5b7e97
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_aaf6461496396e2e/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=company_size, condition_col=target.
+Result preview: [{"company_size": "", "condition_rate": 0.4058605591108117}, {"company_size": "10/49", "condition_rate": 0.23385452073419444}, {"company_size": "10000+", "condition_rate": 0.1906884596334819}, {"company_size": "5000-9999", "condition_rate": 0.1811722912966252}, {"company_size": "50-99", "condition_rate": 0.1767758676613688}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_aaf6461496396e2e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_aaf6461496396e2e/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..0937723a58966d00290f553f3996176beea55e2c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_aaf6461496396e2e/generated_sql.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_aaf6461496396e2e
+-- problem_id: v2p_m9_49bad5766e39714b
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "company_size",
+       AVG(CASE WHEN "target" = '1.0' THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "m9"
+GROUP BY "company_size"
+ORDER BY "condition_rate" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_aaf6461496396e2e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_aaf6461496396e2e/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..d104c72870b7f0c092d2bcb05a82bea657ea001b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_aaf6461496396e2e/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"company_size\",\n       AVG(CASE WHEN \"target\" = '1.0' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m9\"\nGROUP BY \"company_size\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"company_size\\\",\\n       AVG(CASE WHEN \\\"target\\\" = '1.0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"company_size\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"company_size\", \"condition_rate\"], \"rows\": [{\"company_size\": \"\", \"condition_rate\": 0.4058605591108117}, {\"company_size\": \"10/49\", \"condition_rate\": 0.23385452073419444}, {\"company_size\": \"10000+\", \"condition_rate\": 0.1906884596334819}, {\"company_size\": \"5000-9999\", \"condition_rate\": 0.1811722912966252}, {\"company_size\": \"50-99\", \"condition_rate\": 0.1767758676613688}, {\"company_size\": \"500-999\", \"condition_rate\": 0.1733181299885975}, {\"company_size\": \"<10\", \"condition_rate\": 0.1712538226299694}, {\"company_size\": \"100-500\", \"condition_rate\": 0.161415791520809}, {\"company_size\": \"1000-4999\", \"condition_rate\": 0.15060240963855423}], \"row_count_returned\": 9, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.69}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_aaf6461496396e2e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_aaf6461496396e2e/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..bb247546e2ee5f1b0a24a781d1bc9e14fe2e93f5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_aaf6461496396e2e/run_manifest.json
@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:01:55.079949+00:00",
+  "ended_at": "2026-05-19T16:02:10.622423+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_aaf6461496396e2e",
+    "problem_id": "v2p_m9_49bad5766e39714b",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "within_group_proportion",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=company_size, condition_col=target.",
+    "bindings": {
+      "group_col": "company_size",
+      "condition_col": "target",
+      "condition_value": "1.0",
+      "positive_value": "0.0",
+      "negative_value": "1.0",
+      "top_k": 18,
+      "top_n": 7,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=8",
+      "sql_variant_index=2/2",
+      "binding_index=103"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_aaf6461496396e2e.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_aaf6461496396e2e",
+    "api_calls": 0,
+    "input_tokens": 14712,
+    "cached_input_tokens": 12032,
+    "output_tokens": 417,
+    "total_tokens": 15129,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 14525.11,
+    "sql_execution_elapsed_ms_total": 9.69,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_aaf6461496396e2e/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_aaf6461496396e2e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_aaf6461496396e2e/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..8327ea6a83502a4b70f00b9d704aa383986b0bb9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_aaf6461496396e2e/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:01:58.339112+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3256.12, "started_at": "2026-05-19T16:01:55.082016+00:00", "ended_at": "2026-05-19T16:01:58.338163+00:00", "prompt_metrics": {"chars": 9534, "bytes_utf8": 9534, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f8-ea81-7ec0-9dce-e0c4450042c0\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:02:10.610740+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11268.99, "started_at": "2026-05-19T16:01:59.340779+00:00", "ended_at": "2026-05-19T16:02:10.609820+00:00", "prompt_metrics": {"chars": 9534, "bytes_utf8": 9534, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 415, "bytes_utf8": 415, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14712, "cached_input_tokens": 12032, "output_tokens": 417, "reasoning_output_tokens": 304}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"company_size\\\",\\n       AVG(CASE WHEN \\\"target\\\" = '1.0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"company_size\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the planned Grouped Condition Rate template with group_col=\\\"company_size\\\" and condition_col=\\\"target\\\", measuring the within-group proportion where target='1.0'.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_aaf6461496396e2e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_aaf6461496396e2e/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..2d51401d0d85bf5f875000eb02302553570be137
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_aaf6461496396e2e/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_aaf6461496396e2e",
+  "api_calls": 0,
+  "input_tokens": 14712,
+  "cached_input_tokens": 12032,
+  "output_tokens": 417,
+  "total_tokens": 15129,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 2,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 14525.11,
+  "sql_execution_elapsed_ms_total": 9.69,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_aaf6461496396e2e/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_abdb029f7f0b96af/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_abdb029f7f0b96af/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..bb1a902def912455dff5fcc568362886f5b2155b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_abdb029f7f0b96af/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=company_type, measure_col=training_hours.
+Result preview: [{"company_type": "Other", "experience": ">20", "total_measure": 1703.0, "share_within_group": 25.21842144232193}, {"company_type": "Pvt Ltd", "experience": ">20", "total_measure": 120022.0, "share_within_group": 18.776144900238727}, {"company_type": "Public Sector", "experience": ">20", "total_measure": 10879.0, "share_within_group": 18.40435790292839}, {"company_type": "NGO", "experience": ">20", "total_measure": 6412.0, "share_within_group": 18.22160334195345}, {"company_type": "Funded Startup", "experience": ">20", "total_measure": 9526.0, "share_within_group": 14.262187088274045}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_abdb029f7f0b96af/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_abdb029f7f0b96af/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..d8836875ce004267b4763efec226e02940d65410
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_abdb029f7f0b96af/generated_sql.sql
@@ -0,0 +1,47 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_abdb029f7f0b96af
+-- problem_id: v2p_m9_fdf38ba3d2c4d24c
+-- realization_mode: agent
+-- source_kind: agent
+WITH "base" AS (
+  SELECT
+    "company_type",
+    "experience",
+    CAST(TRIM("training_hours") AS REAL) AS "training_hours_value"
+  FROM "m9"
+  WHERE NULLIF(TRIM("company_type"), '') IS NOT NULL
+    AND NULLIF(TRIM("experience"), '') IS NOT NULL
+    AND NULLIF(TRIM("training_hours"), '') IS NOT NULL
+),
+"grouped" AS (
+  SELECT
+    "company_type",
+    "experience",
+    SUM("training_hours_value") AS "total_measure",
+    COUNT(*) AS "support"
+  FROM "base"
+  WHERE "company_type" IN (
+    SELECT "company_type"
+    FROM "base"
+    GROUP BY "company_type"
+    HAVING COUNT(*) >= 5
+  )
+  GROUP BY "company_type", "experience"
+  HAVING COUNT(*) >= 5
+)
+SELECT
+  "company_type",
+  "experience",
+  "total_measure",
+  "total_measure" * 100.0 / SUM("total_measure") OVER (PARTITION BY "company_type") AS "share_within_group"
+FROM "grouped"
+ORDER BY "share_within_group" DESC
+LIMIT 12;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_abdb029f7f0b96af/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_abdb029f7f0b96af/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..c39156e1aeab6227ea7dcbf333d1ec8288206092
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_abdb029f7f0b96af/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nWITH \"base\" AS (\n  SELECT\n    \"company_type\",\n    \"experience\",\n    CAST(TRIM(\"training_hours\") AS REAL) AS \"training_hours_value\"\n  FROM \"m9\"\n  WHERE NULLIF(TRIM(\"company_type\"), '') IS NOT NULL\n    AND NULLIF(TRIM(\"experience\"), '') IS NOT NULL\n    AND NULLIF(TRIM(\"training_hours\"), '') IS NOT NULL\n),\n\"grouped\" AS (\n  SELECT\n    \"company_type\",\n    \"experience\",\n    SUM(\"training_hours_value\") AS \"total_measure\",\n    COUNT(*) AS \"support\"\n  FROM \"base\"\n  WHERE \"company_type\" IN (\n    SELECT \"company_type\"\n    FROM \"base\"\n    GROUP BY \"company_type\"\n    HAVING COUNT(*) >= 5\n  )\n  GROUP BY \"company_type\", \"experience\"\n  HAVING COUNT(*) >= 5\n)\nSELECT\n  \"company_type\",\n  \"experience\",\n  \"total_measure\",\n  \"total_measure\" * 100.0 / SUM(\"total_measure\") OVER (PARTITION BY \"company_type\") AS \"share_within_group\"\nFROM \"grouped\"\nORDER BY \"share_within_group\" DESC\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    \\\"company_type\\\",\\n    \\\"experience\\\",\\n    CAST(TRIM(\\\"training_hours\\\") AS REAL) AS \\\"training_hours_value\\\"\\n  FROM \\\"m9\\\"\\n  WHERE NULLIF(TRIM(\\\"company_type\\\"), '') IS NOT NULL\\n    AND NULLIF(TRIM(\\\"experience\\\"), '') IS NOT NULL\\n    AND NULLIF(TRIM(\\\"training_hours\\\"), '') IS NOT NULL\\n),\\n\\\"grouped\\\" AS (\\n  SELECT\\n    \\\"company_type\\\",\\n    \\\"experience\\\",\\n    SUM(\\\"training_hours_value\\\") AS \\\"total_measure\\\",\\n    COUNT(*) AS \\\"support\\\"\\n  FROM \\\"base\\\"\\n  WHERE \\\"company_type\\\" IN (\\n    SELECT \\\"company_type\\\"\\n    FROM \\\"base\\\"\\n    GROUP BY \\\"company_type\\\"\\n    HAVING COUNT(*) >= 5\\n  )\\n  GROUP BY \\\"company_type\\\", \\\"experience\\\"\\n  HAVING COUNT(*) >= 5\\n)\\nSELECT\\n  \\\"company_type\\\",\\n  \\\"experience\\\",\\n  \\\"total_measure\\\",\\n  \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"company_type\\\") AS \\\"share_within_group\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 12;\", \"columns\": [\"company_type\", \"experience\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"company_type\": \"Other\", \"experience\": \">20\", \"total_measure\": 1703.0, \"share_within_group\": 25.21842144232193}, {\"company_type\": \"Pvt Ltd\", \"experience\": \">20\", \"total_measure\": 120022.0, \"share_within_group\": 18.776144900238727}, {\"company_type\": \"Public Sector\", \"experience\": \">20\", \"total_measure\": 10879.0, \"share_within_group\": 18.40435790292839}, {\"company_type\": \"NGO\", \"experience\": \">20\", \"total_measure\": 6412.0, \"share_within_group\": 18.22160334195345}, {\"company_type\": \"Funded Startup\", \"experience\": \">20\", \"total_measure\": 9526.0, \"share_within_group\": 14.262187088274045}, {\"company_type\": \"Other\", \"experience\": \"6\", \"total_measure\": 851.0, \"share_within_group\": 12.601806604472086}, {\"company_type\": \"Other\", \"experience\": \"2\", \"total_measure\": 830.0, \"share_within_group\": 12.290833703539167}, {\"company_type\": \"Early Stage Startup\", \"experience\": \"5\", \"total_measure\": 4566.0, \"share_within_group\": 10.9401955146636}, {\"company_type\": \"Early Stage Startup\", \"experience\": \"3\", \"total_measure\": 4107.0, \"share_within_group\": 9.840425531914894}, {\"company_type\": \"Other\", \"experience\": \"3\", \"total_measure\": 647.0, \"share_within_group\": 9.580926995409447}, {\"company_type\": \"Other\", \"experience\": \"5\", \"total_measure\": 640.0, \"share_within_group\": 9.477269361765142}, {\"company_type\": \"Early Stage Startup\", \"experience\": \"4\", \"total_measure\": 3573.0, \"share_within_group\": 8.56095457159287}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 55.15}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_abdb029f7f0b96af/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_abdb029f7f0b96af/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..fca1e591afffc202a7f5522f4ad79a5702ad8cfc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_abdb029f7f0b96af/run_manifest.json
@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:38:38.384595+00:00",
+  "ended_at": "2026-05-19T15:39:10.065662+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_abdb029f7f0b96af",
+    "problem_id": "v2p_m9_fdf38ba3d2c4d24c",
+    "dataset_id": "m9",
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "within_group_proportion",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=company_type, measure_col=training_hours.",
+    "bindings": {
+      "group_col": "company_type",
+      "measure_col": "training_hours",
+      "item_col": "experience",
+      "top_k": 12,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 88.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=9",
+      "sql_variant_index=1/2",
+      "binding_index=32"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 9,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_abdb029f7f0b96af.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_abdb029f7f0b96af",
+    "api_calls": 0,
+    "input_tokens": 14764,
+    "cached_input_tokens": 12032,
+    "output_tokens": 2238,
+    "total_tokens": 17002,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 31618.03,
+    "sql_execution_elapsed_ms_total": 55.15,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_abdb029f7f0b96af/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_abdb029f7f0b96af/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_abdb029f7f0b96af/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..86c9f6870e8a051b2d2311bfdb0d27908755829c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_abdb029f7f0b96af/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:39:10.007386+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 31618.03, "started_at": "2026-05-19T15:38:38.387713+00:00", "ended_at": "2026-05-19T15:39:10.005781+00:00", "prompt_metrics": {"chars": 9713, "bytes_utf8": 9713, "lines": 266, "estimated_tokens": null}, "response_metrics": {"chars": 1383, "bytes_utf8": 1383, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14764, "cached_input_tokens": 12032, "output_tokens": 2238, "reasoning_output_tokens": 1857}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    \\\"company_type\\\",\\n    \\\"experience\\\",\\n    CAST(TRIM(\\\"training_hours\\\") AS REAL) AS \\\"training_hours_value\\\"\\n  FROM \\\"m9\\\"\\n  WHERE NULLIF(TRIM(\\\"company_type\\\"), '') IS NOT NULL\\n    AND NULLIF(TRIM(\\\"experience\\\"), '') IS NOT NULL\\n    AND NULLIF(TRIM(\\\"training_hours\\\"), '') IS NOT NULL\\n),\\n\\\"grouped\\\" AS (\\n  SELECT\\n    \\\"company_type\\\",\\n    \\\"experience\\\",\\n    SUM(\\\"training_hours_value\\\") AS \\\"total_measure\\\",\\n    COUNT(*) AS \\\"support\\\"\\n  FROM \\\"base\\\"\\n  WHERE \\\"company_type\\\" IN (\\n    SELECT \\\"company_type\\\"\\n    FROM \\\"base\\\"\\n    GROUP BY \\\"company_type\\\"\\n    HAVING COUNT(*) >= 5\\n  )\\n  GROUP BY \\\"company_type\\\", \\\"experience\\\"\\n  HAVING COUNT(*) >= 5\\n)\\nSELECT\\n  \\\"company_type\\\",\\n  \\\"experience\\\",\\n  \\\"total_measure\\\",\\n  \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"company_type\\\") AS \\\"share_within_group\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"share_wit"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_abdb029f7f0b96af/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_abdb029f7f0b96af/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..fc46974d0ff236996df9354d1396bfddd3f71f21
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_abdb029f7f0b96af/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_abdb029f7f0b96af",
+  "api_calls": 0,
+  "input_tokens": 14764,
+  "cached_input_tokens": 12032,
+  "output_tokens": 2238,
+  "total_tokens": 17002,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 31618.03,
+  "sql_execution_elapsed_ms_total": 55.15,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_abdb029f7f0b96af/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_acf10704f127ded3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_acf10704f127ded3/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8e364037ca742b78e972d8c473ce30837f8caad3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_acf10704f127ded3/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"major_discipline": "STEM", "total_rows": 14492, "missing_rows": 0, "missing_rate": 0.0}, {"major_discipline": "", "total_rows": 2813, "missing_rows": 0, "missing_rate": 0.0}, {"major_discipline": "Humanities", "total_rows": 669, "missing_rows": 0, "missing_rate": 0.0}, {"major_discipline": "Other", "total_rows": 381, "missing_rows": 0, "missing_rate": 0.0}, {"major_discipline": "Business Degree", "total_rows": 327, "missing_rows": 0, "missing_rate": 0.0}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_acf10704f127ded3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_acf10704f127ded3/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..b730451e89b3d7cf5a60858909116e77571c7a6d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_acf10704f127ded3/generated_sql.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m9_acf10704f127ded3
+-- problem_id: v2p_m9_3aa412614ff214c1
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "major_discipline",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "gender" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "gender" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "major_discipline"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_acf10704f127ded3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_acf10704f127ded3/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b23d3efbc79c2f939ec40322bb2f36ed8167c1ce
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_acf10704f127ded3/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_m9_acf10704f127ded3\n-- problem_id: v2p_m9_3aa412614ff214c1\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"major_discipline\",\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"gender\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"gender\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m9\"\nGROUP BY \"major_discipline\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_m9_acf10704f127ded3\\n-- problem_id: v2p_m9_3aa412614ff214c1\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"major_discipline\\\",\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"gender\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"gender\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m9\\\"\\nGROUP BY \\\"major_discipline\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"major_discipline\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"major_discipline\": \"STEM\", \"total_rows\": 14492, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"major_discipline\": \"\", \"total_rows\": 2813, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"major_discipline\": \"Humanities\", \"total_rows\": 669, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"major_discipline\": \"Other\", \"total_rows\": 381, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"major_discipline\": \"Business Degree\", \"total_rows\": 327, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"major_discipline\": \"Arts\", \"total_rows\": 253, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"major_discipline\": \"No Major\", \"total_rows\": 223, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.01}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_acf10704f127ded3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_acf10704f127ded3/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..ee86dabcef13bc2ec8a5ca438cb42e1231339406
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_acf10704f127ded3/run_manifest.json
@@ -0,0 +1,59 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.065372+00:00",
+  "ended_at": "2026-05-19T16:08:56.077235+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_acf10704f127ded3",
+    "problem_id": "v2p_m9_3aa412614ff214c1",
+    "dataset_id": "m9",
+    "template_id": "tpl_missing_target_interaction",
+    "template_name": "Missingness-Target Interaction",
+    "family_id": "missingness_structure",
+    "canonical_subitem_id": "co_missingness_pattern_consistency",
+    "intended_facet_id": "missing_target_interaction",
+    "variant_semantic_role": "missing_target_interaction",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": false,
+    "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=major_discipline, missing_col=gender.",
+    "bindings": {
+      "missing_col": "gender",
+      "target_col": "major_discipline"
+    },
+    "binding_roles": [
+      "missing_col",
+      "target_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {target_col},\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;",
+    "notes": [
+      "default_facets=missing_rate_by_subgroup,missing_target_interaction",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=2",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 2,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_acf10704f127ded3.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_acf10704f127ded3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_acf10704f127ded3/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_acf10704f127ded3/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b0338cff30b74497/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b0338cff30b74497/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..90f0cf49f4fecef14e1b87420a132fc3b1f84a6a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b0338cff30b74497/run_manifest.json
@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:05:27.823620+00:00",
+  "ended_at": "2026-05-19T16:05:35.430781+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_b0338cff30b74497",
+    "problem_id": "v2p_m9_0176908f7d90613b",
+    "dataset_id": "m9",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=education_level.",
+    "bindings": {
+      "group_col": "education_level",
+      "top_k": 19,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=2/2",
+      "binding_index=124"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b0338cff30b74497/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b0338cff30b74497/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..1288feba20050c1fc24c6f0c5712f408d3bf299e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b0338cff30b74497/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:05:30.950323+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3123.72, "started_at": "2026-05-19T16:05:27.825831+00:00", "ended_at": "2026-05-19T16:05:30.949580+00:00", "prompt_metrics": {"chars": 9286, "bytes_utf8": 9286, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-2982-76b2-a6b2-04dbb2a97cb9\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:05:35.430674+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3478.5, "started_at": "2026-05-19T16:05:31.951252+00:00", "ended_at": "2026-05-19T16:05:35.429786+00:00", "prompt_metrics": {"chars": 9286, "bytes_utf8": 9286, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-39bb-7f33-9094-57ea7e4fde6d\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b2ff6a427ef6c731/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b2ff6a427ef6c731/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0f224b04fd4d4d5b041aff26fd34dac627928902
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b2ff6a427ef6c731/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=city_development_index.
+Result preview: [{"city_development_index": "0.664", "support": 1}, {"city_development_index": "0.625", "support": 3}, {"city_development_index": "0.7809999999999999", "support": 3}, {"city_development_index": "0.649", "support": 4}, {"city_development_index": "0.693", "support": 4}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b2ff6a427ef6c731/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b2ff6a427ef6c731/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..e29e553a0ccb3d7546d99a30d58b08b65deae193
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b2ff6a427ef6c731/generated_sql.sql
@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_tail_low_support_group_count_v2
+-- query_record_id: v2q_m9_b2ff6a427ef6c731
+-- problem_id: v2p_m9_811f2694897a4cab
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "city_development_index",
+  COUNT(*) AS support
+FROM "m9"
+GROUP BY "city_development_index"
+ORDER BY support ASC, "city_development_index"
+LIMIT 10;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b2ff6a427ef6c731/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b2ff6a427ef6c731/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..eadc4e14ac224628451c2192559d61434cf1a4c1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b2ff6a427ef6c731/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n  \"city_development_index\",\n  COUNT(*) AS support\nFROM \"m9\"\nGROUP BY \"city_development_index\"\nORDER BY support ASC, \"city_development_index\"\nLIMIT 10;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n  \\\"city_development_index\\\",\\n  COUNT(*) AS support\\nFROM \\\"m9\\\"\\nGROUP BY \\\"city_development_index\\\"\\nORDER BY support ASC, \\\"city_development_index\\\"\\nLIMIT 10;\", \"columns\": [\"city_development_index\", \"support\"], \"rows\": [{\"city_development_index\": \"0.664\", \"support\": 1}, {\"city_development_index\": \"0.625\", \"support\": 3}, {\"city_development_index\": \"0.7809999999999999\", \"support\": 3}, {\"city_development_index\": \"0.649\", \"support\": 4}, {\"city_development_index\": \"0.693\", \"support\": 4}, {\"city_development_index\": \"0.807\", \"support\": 4}, {\"city_development_index\": \"0.8240000000000001\", \"support\": 4}, {\"city_development_index\": \"0.48700000000000004\", \"support\": 5}, {\"city_development_index\": \"0.512\", \"support\": 5}, {\"city_development_index\": \"0.645\", \"support\": 5}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.12}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b2ff6a427ef6c731/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b2ff6a427ef6c731/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..23bf92673adc25f9fb3c9c30adb2ee67bf596dae
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b2ff6a427ef6c731/run_manifest.json
@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:04:01.854109+00:00",
+  "ended_at": "2026-05-19T16:04:15.317040+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_b2ff6a427ef6c731",
+    "problem_id": "v2p_m9_811f2694897a4cab",
+    "dataset_id": "m9",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=city_development_index.",
+    "bindings": {
+      "group_col": "city_development_index",
+      "top_k": 10,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 25169.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=1",
+      "sql_variant_index=1/2",
+      "binding_index=120"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_b2ff6a427ef6c731.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_b2ff6a427ef6c731",
+    "api_calls": 0,
+    "input_tokens": 14662,
+    "cached_input_tokens": 13696,
+    "output_tokens": 325,
+    "total_tokens": 14987,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 12446.25,
+    "sql_execution_elapsed_ms_total": 8.12,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b2ff6a427ef6c731/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b2ff6a427ef6c731/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b2ff6a427ef6c731/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..692dff589c1a3c3a1313c46b75dbe6f202f70d82
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b2ff6a427ef6c731/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:04:05.251896+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3392.81, "started_at": "2026-05-19T16:04:01.857473+00:00", "ended_at": "2026-05-19T16:04:05.250330+00:00", "prompt_metrics": {"chars": 9302, "bytes_utf8": 9302, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fa-d9d1-7f33-9686-10160cc650ed\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:04:15.307458+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9053.44, "started_at": "2026-05-19T16:04:06.253071+00:00", "ended_at": "2026-05-19T16:04:15.306538+00:00", "prompt_metrics": {"chars": 9302, "bytes_utf8": 9302, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 359, "bytes_utf8": 359, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14662, "cached_input_tokens": 13696, "output_tokens": 325, "reasoning_output_tokens": 226}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n  \\\"city_development_index\\\",\\n  COUNT(*) AS support\\nFROM \\\"m9\\\"\\nGROUP BY \\\"city_development_index\\\"\\nORDER BY support ASC, \\\"city_development_index\\\"\\nLIMIT 10;\",\"notes\":\"Uses the planned Low-Support Group Count template with group_col bound to \\\"city_development_index\\\" and top_k=10.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b2ff6a427ef6c731/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b2ff6a427ef6c731/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..52cb07f991704e15fdc73878859fbac249e383db
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b2ff6a427ef6c731/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_b2ff6a427ef6c731",
+  "api_calls": 0,
+  "input_tokens": 14662,
+  "cached_input_tokens": 13696,
+  "output_tokens": 325,
+  "total_tokens": 14987,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 2,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 12446.25,
+  "sql_execution_elapsed_ms_total": 8.12,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b2ff6a427ef6c731/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b59b92a651b283f7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b59b92a651b283f7/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..adeb4465eb95c615c91ea4a1a7386d465d009811
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b59b92a651b283f7/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "", "support": 5938, "support_share": 0.3099488464349097, "cumulative_support": 5938}, {"value_label": "50-99", "support": 3083, "support_share": 0.16092493997285728, "cumulative_support": 9021}, {"value_label": "100-500", "support": 2571, "support_share": 0.13419981208894458, "cumulative_support": 11592}, {"value_label": "10000+", "support": 2019, "support_share": 0.10538678358910115, "cumulative_support": 13611}, {"value_label": "10/49", "support": 1471, "support_share": 0.07678254515085083, "cumulative_support": 15082}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b59b92a651b283f7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b59b92a651b283f7/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..3996bbf18318f4547e0220d9edd26fea942eb43e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b59b92a651b283f7/generated_sql.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_cardinality_distinct_share_profile
+-- query_record_id: v2q_m9_b59b92a651b283f7
+-- problem_id: v2p_m9_879919df3ee66cab
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "company_size" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "company_size"
+), ranked AS (
+    SELECT
+        value_label,
+        support,
+        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
+    FROM grouped
+)
+SELECT *
+FROM ranked
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b59b92a651b283f7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b59b92a651b283f7/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..f4df189396ed39d21e01fe9a12df2348a216c110
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b59b92a651b283f7/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m9_b59b92a651b283f7\n-- problem_id: v2p_m9_879919df3ee66cab\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"company_size\" AS value_label, COUNT(*) AS support\n    FROM \"m9\"\n    GROUP BY \"company_size\"\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m9_b59b92a651b283f7\\n-- problem_id: v2p_m9_879919df3ee66cab\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"company_size\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"company_size\\\"\\n), ranked AS (\\n    SELECT\\n        value_label,\\n        support,\\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n    FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"\", \"support\": 5938, \"support_share\": 0.3099488464349097, \"cumulative_support\": 5938}, {\"value_label\": \"50-99\", \"support\": 3083, \"support_share\": 0.16092493997285728, \"cumulative_support\": 9021}, {\"value_label\": \"100-500\", \"support\": 2571, \"support_share\": 0.13419981208894458, \"cumulative_support\": 11592}, {\"value_label\": \"10000+\", \"support\": 2019, \"support_share\": 0.10538678358910115, \"cumulative_support\": 13611}, {\"value_label\": \"10/49\", \"support\": 1471, \"support_share\": 0.07678254515085083, \"cumulative_support\": 15082}, {\"value_label\": \"1000-4999\", \"support\": 1328, \"support_share\": 0.06931830044889863, \"cumulative_support\": 16410}, {\"value_label\": \"<10\", \"support\": 1308, \"support_share\": 0.06827435014093329, \"cumulative_support\": 17718}, {\"value_label\": \"500-999\", \"support\": 877, \"support_share\": 0.045777221004280194, \"cumulative_support\": 18595}, {\"value_label\": \"5000-9999\", \"support\": 563, \"support_share\": 0.029387201169224345, \"cumulative_support\": 19158}], \"row_count_returned\": 9, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.22}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b59b92a651b283f7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b59b92a651b283f7/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..f69524d07d620c434a6adeb9372020011d344f32
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b59b92a651b283f7/run_manifest.json
@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.227493+00:00",
+  "ended_at": "2026-05-19T16:08:56.235469+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_b59b92a651b283f7",
+    "problem_id": "v2p_m9_879919df3ee66cab",
+    "dataset_id": "m9",
+    "template_id": "tpl_cardinality_distinct_share_profile",
+    "template_name": "Cardinality Distinct Share Profile",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "support_rank_profile_consistency",
+    "intended_facet_id": "value_imbalance_profile",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=company_size.",
+    "bindings": {
+      "group_col": "company_size"
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;",
+    "notes": [
+      "default_facets=support_concentration,value_imbalance_profile",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=8",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_b59b92a651b283f7.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b59b92a651b283f7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b59b92a651b283f7/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b59b92a651b283f7/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b9a42ff63b25a38b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b9a42ff63b25a38b/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7438e07c8b0757bf1ad24f3ccb1698295e5ddcca
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b9a42ff63b25a38b/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=gender, measure_col=city_development_index.
+Result preview: [{"gender": "Male", "group_value": 11093.115}, {"gender": "", "group_value": 3574.709}, {"gender": "Female", "group_value": 1045.788}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b9a42ff63b25a38b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b9a42ff63b25a38b/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..5e664b42ad0b6bd59ede578ba6d97624471f9e86
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b9a42ff63b25a38b/generated_sql.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_b9a42ff63b25a38b
+-- problem_id: v2p_m9_76c322a797c35274
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT
+        "gender",
+        SUM(CAST("city_development_index" AS REAL)) AS group_value
+    FROM "m9"
+    GROUP BY "gender"
+), total AS (
+    SELECT SUM(group_value) AS total_value
+    FROM grouped
+)
+SELECT g."gender", g.group_value
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g.group_value > t.total_value * 0.05
+ORDER BY g.group_value DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b9a42ff63b25a38b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b9a42ff63b25a38b/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..1a0a968e9d57f28d27f6537226aaecb613eb0407
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b9a42ff63b25a38b/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT\n        \"gender\",\n        SUM(CAST(\"city_development_index\" AS REAL)) AS group_value\n    FROM \"m9\"\n    GROUP BY \"gender\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"gender\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT\\n        \\\"gender\\\",\\n        SUM(CAST(\\\"city_development_index\\\" AS REAL)) AS group_value\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"gender\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"gender\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\", \"columns\": [\"gender\", \"group_value\"], \"rows\": [{\"gender\": \"Male\", \"group_value\": 11093.115}, {\"gender\": \"\", \"group_value\": 3574.709}, {\"gender\": \"Female\", \"group_value\": 1045.788}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.74}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b9a42ff63b25a38b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b9a42ff63b25a38b/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..d4b3c095549c8aa4405cb456ca5ba7a3f90adce3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b9a42ff63b25a38b/run_manifest.json
@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:46:31.999517+00:00",
+  "ended_at": "2026-05-19T15:46:42.801792+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_b9a42ff63b25a38b",
+    "problem_id": "v2p_m9_76c322a797c35274",
+    "dataset_id": "m9",
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=gender, measure_col=city_development_index.",
+    "bindings": {
+      "group_col": "gender",
+      "measure_col": "city_development_index",
+      "top_k": 18,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=2",
+      "sql_variant_index=2/2",
+      "binding_index=73"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "problem_index_within_template": 2,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_b9a42ff63b25a38b.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_b9a42ff63b25a38b",
+    "api_calls": 0,
+    "input_tokens": 14784,
+    "cached_input_tokens": 13696,
+    "output_tokens": 487,
+    "total_tokens": 15271,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 10785.6,
+    "sql_execution_elapsed_ms_total": 11.74,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b9a42ff63b25a38b/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b9a42ff63b25a38b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b9a42ff63b25a38b/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..988e8d8cb06622dd7d38d7658c2bcf5c529713fe
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b9a42ff63b25a38b/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:46:42.788116+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10785.6, "started_at": "2026-05-19T15:46:32.001494+00:00", "ended_at": "2026-05-19T15:46:42.787135+00:00", "prompt_metrics": {"chars": 9861, "bytes_utf8": 9861, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 697, "bytes_utf8": 697, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14784, "cached_input_tokens": 13696, "output_tokens": 487, "reasoning_output_tokens": 307}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT\\n        \\\"gender\\\",\\n        SUM(CAST(\\\"city_development_index\\\" AS REAL)) AS group_value\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"gender\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"gender\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the required Relative-to-Total Extreme Threshold template with group_col=\\\"gender\\\" and measure_col=\\\"city_development_index\\\". Since \\\"city_development_index\\\" is stored as TEXT in SQLite, it is cast to REAL before summation.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b9a42ff63b25a38b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b9a42ff63b25a38b/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..878eabfebac39947b331e0f47804bb118119ad86
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b9a42ff63b25a38b/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_b9a42ff63b25a38b",
+  "api_calls": 0,
+  "input_tokens": 14784,
+  "cached_input_tokens": 13696,
+  "output_tokens": 487,
+  "total_tokens": 15271,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 10785.6,
+  "sql_execution_elapsed_ms_total": 11.74,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_b9a42ff63b25a38b/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c19136031c562dc3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c19136031c562dc3/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..82b2595503ad9340fedc0a6f49fbfbc6903df8f3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c19136031c562dc3/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"experience": ">20", "support": 3286, "avg_response": 16572.157029823495}, {"experience": "5", "support": 1430, "avg_response": 17176.090909090908}, {"experience": "4", "support": 1403, "avg_response": 17058.07127583749}, {"experience": "3", "support": 1354, "avg_response": 17480.977104874448}, {"experience": "6", "support": 1216, "avg_response": 17007.901315789473}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c19136031c562dc3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c19136031c562dc3/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..dd2e8ddd1e22288f00b7e82288ddbeca91ada5d8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c19136031c562dc3/generated_sql.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: high_cardinality_response_stability
+-- intended_facet_id: target_cardinality_cross_section
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_cardinality_high_card_response_stability
+-- query_record_id: v2q_m9_c19136031c562dc3
+-- problem_id: v2p_m9_c0f0cf6728a38b5f
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "experience",
+    COUNT(*) AS support,
+    AVG("enrollee_id") AS avg_response
+FROM "m9"
+GROUP BY "experience"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c19136031c562dc3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c19136031c562dc3/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..7fba518883ceeba3c32b8744abd161c0f892fab0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c19136031c562dc3/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m9_c19136031c562dc3\n-- problem_id: v2p_m9_c0f0cf6728a38b5f\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"experience\",\n    COUNT(*) AS support,\n    AVG(\"enrollee_id\") AS avg_response\nFROM \"m9\"\nGROUP BY \"experience\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m9_c19136031c562dc3\\n-- problem_id: v2p_m9_c0f0cf6728a38b5f\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"experience\\\",\\n    COUNT(*) AS support,\\n    AVG(\\\"enrollee_id\\\") AS avg_response\\nFROM \\\"m9\\\"\\nGROUP BY \\\"experience\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"experience\", \"support\", \"avg_response\"], \"rows\": [{\"experience\": \">20\", \"support\": 3286, \"avg_response\": 16572.157029823495}, {\"experience\": \"5\", \"support\": 1430, \"avg_response\": 17176.090909090908}, {\"experience\": \"4\", \"support\": 1403, \"avg_response\": 17058.07127583749}, {\"experience\": \"3\", \"support\": 1354, \"avg_response\": 17480.977104874448}, {\"experience\": \"6\", \"support\": 1216, \"avg_response\": 17007.901315789473}, {\"experience\": \"2\", \"support\": 1127, \"avg_response\": 17625.831410825198}, {\"experience\": \"7\", \"support\": 1028, \"avg_response\": 16865.820038910504}, {\"experience\": \"10\", \"support\": 985, \"avg_response\": 16590.42233502538}, {\"experience\": \"9\", \"support\": 980, \"avg_response\": 16793.230612244897}, {\"experience\": \"8\", \"support\": 802, \"avg_response\": 16212.034912718205}, {\"experience\": \"15\", \"support\": 686, \"avg_response\": 15911.322157434402}, {\"experience\": \"11\", \"support\": 664, \"avg_response\": 16635.213855421687}, {\"experience\": \"14\", \"support\": 586, \"avg_response\": 15869.032423208191}, {\"experience\": \"1\", \"support\": 549, \"avg_response\": 18137.92349726776}, {\"experience\": \"<1\", \"support\": 522, \"avg_response\": 17797.287356321838}, {\"experience\": \"16\", \"support\": 508, \"avg_response\": 17638.716535433072}, {\"experience\": \"12\", \"support\": 494, \"avg_response\": 16102.467611336033}, {\"experience\": \"13\", \"support\": 399, \"avg_response\": 16720.471177944863}, {\"experience\": \"17\", \"support\": 342, \"avg_response\": 16564.698830409357}, {\"experience\": \"19\", \"support\": 304, \"avg_response\": 16733.092105263157}, {\"experience\": \"18\", \"support\": 280, \"avg_response\": 16880.589285714286}, {\"experience\": \"20\", \"support\": 148, \"avg_response\": 16232.743243243243}, {\"experience\": \"\", \"support\": 65, \"avg_response\": 15659.246153846154}], \"row_count_returned\": 23, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.96}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c19136031c562dc3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c19136031c562dc3/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..7fb94941b807216bd5bc7972d015c85d2fa62ba5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c19136031c562dc3/run_manifest.json
@@ -0,0 +1,60 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.458359+00:00",
+  "ended_at": "2026-05-19T16:08:56.468100+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_c19136031c562dc3",
+    "problem_id": "v2p_m9_c0f0cf6728a38b5f",
+    "dataset_id": "m9",
+    "template_id": "tpl_cardinality_high_card_response_stability",
+    "template_name": "High-Cardinality Response Stability",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "high_cardinality_response_stability",
+    "intended_facet_id": "target_cardinality_cross_section",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=enrollee_id, key_col=experience.",
+    "bindings": {
+      "key_col": "experience",
+      "measure_col": "enrollee_id",
+      "min_support": 5
+    },
+    "binding_roles": [
+      "key_col",
+      "target_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {key_col},\n    COUNT(*) AS support,\n    AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;",
+    "notes": [
+      "default_facets=target_cardinality_cross_section",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=8",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c19136031c562dc3.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c19136031c562dc3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c19136031c562dc3/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c19136031c562dc3/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c32f5fd069b9d3b5/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c32f5fd069b9d3b5/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c2c1e73da3830a23e7bbd21878daedd21af5f027
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c32f5fd069b9d3b5/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=relevent_experience.
+Result preview: [{"relevent_experience": "Has relevent experience", "row_count": 13792}, {"relevent_experience": "No relevent experience", "row_count": 5366}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c32f5fd069b9d3b5/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c32f5fd069b9d3b5/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..e44a0f9d5632cdfe793f5dd8092ab2e54626d1fb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c32f5fd069b9d3b5/generated_sql.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: subgroup_size_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_clickbench_group_count
+-- query_record_id: v2q_m9_c32f5fd069b9d3b5
+-- problem_id: v2p_m9_1933934355bb6094
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "relevent_experience", COUNT(*) AS "row_count"
+FROM "m9"
+GROUP BY "relevent_experience"
+ORDER BY "row_count" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c32f5fd069b9d3b5/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c32f5fd069b9d3b5/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..f3d258337da7445091fe6d000c68774d02e831ab
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c32f5fd069b9d3b5/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_clickbench_group_count\nSELECT \"relevent_experience\", COUNT(*) AS \"row_count\"\nFROM \"m9\"\nGROUP BY \"relevent_experience\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"relevent_experience\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"relevent_experience\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"relevent_experience\", \"row_count\"], \"rows\": [{\"relevent_experience\": \"Has relevent experience\", \"row_count\": 13792}, {\"relevent_experience\": \"No relevent experience\", \"row_count\": 5366}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.67}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c32f5fd069b9d3b5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c32f5fd069b9d3b5/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..5342bc3eaa3b7eba9984e3f993ba8a4c2e5d8560
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c32f5fd069b9d3b5/run_manifest.json
@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:32:31.152890+00:00",
+  "ended_at": "2026-05-19T15:32:50.069771+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_c32f5fd069b9d3b5",
+    "problem_id": "v2p_m9_1933934355bb6094",
+    "dataset_id": "m9",
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "subgroup_size_stability",
+    "intended_facet_id": "subgroup_distribution_shift",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=relevent_experience.",
+    "bindings": {
+      "group_col": "relevent_experience",
+      "top_k": 14,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 88.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=1/1",
+      "binding_index=14"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 2,
+    "problem_index_within_template": 3,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c32f5fd069b9d3b5.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_c32f5fd069b9d3b5",
+    "api_calls": 0,
+    "input_tokens": 14624,
+    "cached_input_tokens": 12032,
+    "output_tokens": 406,
+    "total_tokens": 15030,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 18904.54,
+    "sql_execution_elapsed_ms_total": 7.67,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c32f5fd069b9d3b5/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c32f5fd069b9d3b5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c32f5fd069b9d3b5/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b1a5f4b112289214f30039219533f6a2257b5c6d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c32f5fd069b9d3b5/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:32:50.060138+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 18904.54, "started_at": "2026-05-19T15:32:31.154705+00:00", "ended_at": "2026-05-19T15:32:50.059274+00:00", "prompt_metrics": {"chars": 9213, "bytes_utf8": 9213, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 293, "bytes_utf8": 293, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14624, "cached_input_tokens": 12032, "output_tokens": 406, "reasoning_output_tokens": 320}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"relevent_experience\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"relevent_experience\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the grouped count template with \\\"relevent_experience\\\" as the grouping column on \\\"m9\\\".\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c32f5fd069b9d3b5/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c32f5fd069b9d3b5/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..46302aefc2010d6c259408db478398e8f918a005
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c32f5fd069b9d3b5/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_c32f5fd069b9d3b5",
+  "api_calls": 0,
+  "input_tokens": 14624,
+  "cached_input_tokens": 12032,
+  "output_tokens": 406,
+  "total_tokens": 15030,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 18904.54,
+  "sql_execution_elapsed_ms_total": 7.67,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c32f5fd069b9d3b5/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c3fb18c7d4efbfdd/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c3fb18c7d4efbfdd/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..30c5c032da48148bcc8934a8450fae4c9841f50b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c3fb18c7d4efbfdd/run_manifest.json
@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:03:34.206138+00:00",
+  "ended_at": "2026-05-19T16:03:42.943275+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_c3fb18c7d4efbfdd",
+    "problem_id": "v2p_m9_34de888e8bc1e5c0",
+    "dataset_id": "m9",
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=enrollee_id.",
+    "bindings": {
+      "measure_col": "enrollee_id",
+      "top_k": 14,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 25169.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/1",
+      "binding_index=114"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 10,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c3fb18c7d4efbfdd/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c3fb18c7d4efbfdd/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..5602e8eb30e3f8055b3bd52693dc7a04382db9ba
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_c3fb18c7d4efbfdd/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:03:37.283455+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3074.2, "started_at": "2026-05-19T16:03:34.208479+00:00", "ended_at": "2026-05-19T16:03:37.282698+00:00", "prompt_metrics": {"chars": 9228, "bytes_utf8": 9228, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fa-6dea-7470-b016-340d421ed37c\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:03:42.942982+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 4657.34, "started_at": "2026-05-19T16:03:38.284223+00:00", "ended_at": "2026-05-19T16:03:42.941602+00:00", "prompt_metrics": {"chars": 9228, "bytes_utf8": 9228, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fa-7d95-74d3-be5b-e83d50a49bc8\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cac5916e1e379119/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cac5916e1e379119/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b5627f14740b99d2edbc76e034381bb428c6ae22
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cac5916e1e379119/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=enrolled_university, measure_col=enrollee_id.
+Result preview: [{"enrolled_university": "no_enrollment", "experience": ">20", "total_measure": 51028374.0, "share_within_group": 22.188326682007784}, {"enrolled_university": "Full time course", "experience": "3", "total_measure": 8634558.0, "share_within_group": 13.218084919099955}, {"enrolled_university": "", "experience": "2", "total_measure": 902064.0, "share_within_group": 13.116401696345145}, {"enrolled_university": "Full time course", "experience": "4", "total_measure": 8139132.0, "share_within_group": 12.459669382470285}, {"enrolled_university": "Full time course", "experience": "2", "total_measure": 7907783.0, "share_within_group": 12.105512200603087}] Results were truncated.
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cac5916e1e379119/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cac5916e1e379119/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..84a155f8eed60b9d019956b6adb329872d5387cb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cac5916e1e379119/generated_sql.sql
@@ -0,0 +1,22 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_cac5916e1e379119
+-- problem_id: v2p_m9_304afe02fc46df1e
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "enrolled_university",
+  "experience",
+  SUM(CAST("enrollee_id" AS REAL)) AS total_measure,
+  SUM(CAST("enrollee_id" AS REAL)) * 100.0 /
+    SUM(SUM(CAST("enrollee_id" AS REAL))) OVER (PARTITION BY "enrolled_university") AS share_within_group
+FROM "m9"
+GROUP BY "enrolled_university", "experience"
+ORDER BY share_within_group DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cac5916e1e379119/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cac5916e1e379119/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..27a900384ab7ace1afa61a0edaf759295ea73454
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cac5916e1e379119/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"enrolled_university\",\n  \"experience\",\n  SUM(CAST(\"enrollee_id\" AS REAL)) AS total_measure,\n  SUM(CAST(\"enrollee_id\" AS REAL)) * 100.0 /\n    SUM(SUM(CAST(\"enrollee_id\" AS REAL))) OVER (PARTITION BY \"enrolled_university\") AS share_within_group\nFROM \"m9\"\nGROUP BY \"enrolled_university\", \"experience\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"enrolled_university\\\",\\n  \\\"experience\\\",\\n  SUM(CAST(\\\"enrollee_id\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"enrollee_id\\\" AS REAL)) * 100.0 /\\n    SUM(SUM(CAST(\\\"enrollee_id\\\" AS REAL))) OVER (PARTITION BY \\\"enrolled_university\\\") AS share_within_group\\nFROM \\\"m9\\\"\\nGROUP BY \\\"enrolled_university\\\", \\\"experience\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"enrolled_university\", \"experience\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"enrolled_university\": \"no_enrollment\", \"experience\": \">20\", \"total_measure\": 51028374.0, \"share_within_group\": 22.188326682007784}, {\"enrolled_university\": \"Full time course\", \"experience\": \"3\", \"total_measure\": 8634558.0, \"share_within_group\": 13.218084919099955}, {\"enrolled_university\": \"\", \"experience\": \"2\", \"total_measure\": 902064.0, \"share_within_group\": 13.116401696345145}, {\"enrolled_university\": \"Full time course\", \"experience\": \"4\", \"total_measure\": 8139132.0, \"share_within_group\": 12.459669382470285}, {\"enrolled_university\": \"Full time course\", \"experience\": \"2\", \"total_measure\": 7907783.0, \"share_within_group\": 12.105512200603087}, {\"enrolled_university\": \"\", \"experience\": \"3\", \"total_measure\": 794923.0, \"share_within_group\": 11.558525099841887}, {\"enrolled_university\": \"Full time course\", \"experience\": \"5\", \"total_measure\": 7179044.0, \"share_within_group\": 10.989932921865256}, {\"enrolled_university\": \"Part time course\", \"experience\": \"3\", \"total_measure\": 2268940.0, \"share_within_group\": 10.743876124615023}, {\"enrolled_university\": \"Part time course\", \"experience\": \"5\", \"total_measure\": 2086963.0, \"share_within_group\": 9.882179321028737}, {\"enrolled_university\": \"\", \"experience\": \"4\", \"total_measure\": 620446.0, \"share_within_group\": 9.021553866344917}, {\"enrolled_university\": \"Part time course\", \"experience\": \"4\", \"total_measure\": 1866327.0, \"share_within_group\": 8.837424566548425}, {\"enrolled_university\": \"\", \"experience\": \"6\", \"total_measure\": 601014.0, \"share_within_group\": 8.73900416059967}, {\"enrolled_university\": \"Part time course\", \"experience\": \"6\", \"total_measure\": 1828668.0, \"share_within_group\": 8.65910181188022}, {\"enrolled_university\": \"Full time course\", \"experience\": \"6\", \"total_measure\": 5569551.0, \"share_within_group\": 8.52606445856963}, {\"enrolled_university\": \"\", \"experience\": \">20\", \"total_measure\": 559783.0, \"share_within_group\": 8.13948754277432}, {\"enrolled_university\": \"Part time course\", \"experience\": \"7\", \"total_measure\": 1624570.0, \"share_within_group\": 7.692657732582539}, {\"enrolled_university\": \"Part time course\", \"experience\": \"2\", \"total_measure\": 1592386.0, \"share_within_group\": 7.5402601772507065}, {\"enrolled_university\": \"Full time course\", \"experience\": \"7\", \"total_measure\": 4516309.0, \"share_within_group\": 6.913724580099571}, {\"enrolled_university\": \"\", \"experience\": \"5\", \"total_measure\": 453501.0, \"share_within_group\": 6.594101178734791}, {\"enrolled_university\": \"no_enrollment\", \"experience\": \"5\", \"total_measure\": 14842302.0, \"share_within_group\": 6.453778940497251}, {\"enrolled_university\": \"Part time course\", \"experience\": \">20\", \"total_measure\": 1354500.0, \"share_within_group\": 6.413823287874976}, {\"enrolled_university\": \"Full time course\", \"experience\": \"1\", \"total_measure\": 3863125.0, \"share_within_group\": 5.913807551364878}, {\"enrolled_university\": \"no_enrollment\", \"experience\": \"4\", \"total_measure\": 13306569.0, \"share_within_group\": 5.786006428280031}, {\"enrolled_university\": \"\", \"experience\": \"<1\", \"total_measure\": 382931.0, \"share_within_group\": 5.567982779473677}, {\"enrolled_university\": \"no_enrollment\", \"experience\": \"6\", \"total_measure\": 12682375.0, \"share_within_group\": 5.514592324727581}, {\"enrolled_university\": \"no_enrollment\", \"experience\": \"10\", \"total_measure\": 12280841.0, \"share_within_group\": 5.339995980232393}, {\"enrolled_university\": \"Part time course\", \"experience\": \"10\", \"total_measure\": 1107897.0, \"share_within_group\": 5.246109692998761}, {\"enrolled_university\": \"no_enrollment\", \"experience\": \"3\", \"total_measure\": 11970822.0, \"share_within_group\": 5.205192491302306}, {\"enrolled_university\": \"no_enrollment\", \"experience\": \"9\", \"total_measure\": 11734447.0, \"share_within_group\": 5.102411130495873}, {\"enrolled_university\": \"\", \"experience\": \"9\", \"total_measure\": 350823.0, \"share_within_group\": 5.101118537395233}, {\"enrolled_university\": \"Full time course\", \"experience\": \"9\", \"total_measure\": 3305934.0, \"share_within_group\": 5.060839981495264}, {\"enrolled_university\": \"Part time course\", \"experience\": \"9\", \"total_measure\": 1066162.0, \"share_within_group\": 5.048486278514108}, {\"enrolled_university\": \"\", \"experience\": \"1\", \"total_measure\": 341275.0, \"share_within_group\": 4.96228647736767}, {\"enrolled_university\": \"Full time course\", \"experience\": \"<1\", \"total_measure\": 3223299.0, \"share_within_group\": 4.934339418607179}, {\"enrolled_university\": \"no_enrollment\", \"experience\": \"7\", \"total_measure\": 10926650.0, \"share_within_group\": 4.7511621620543965}, {\"enrolled_university\": \"\", \"experience\": \"8\", \"total_measure\": 297788.0, \"share_within_group\": 4.329966641337231}, {\"enrolled_university\": \"Part time course\", \"experience\": \"8\", \"total_measure\": 910399.0, \"share_within_group\": 4.310917908791502}, {\"enrolled_university\": \"Full time course\", \"experience\": \"8\", \"total_measure\": 2764807.0, \"share_within_group\": 4.232463747527318}, {\"enrolled_university\": \"\", \"experience\": \"10\", \"total_measure\": 289132.0, \"share_within_group\": 4.2041046480822475}, {\"enrolled_university\": \"Part time course\", \"experience\": \"11\", \"total_measure\": 869141.0, \"share_within_group\": 4.115553182906567}, {\"enrolled_university\": \"no_enrollment\", \"experience\": \"2\", \"total_measure\": 9462079.0, \"share_within_group\": 4.114332546495907}, {\"enrolled_university\": \"no_enrollment\", \"experience\": \"15\", \"total_measure\": 9391128.0, \"share_within_group\": 4.083481397556395}, {\"enrolled_university\": \"Full time course\", \"experience\": \"10\", \"total_measure\": 2663696.0, \"share_within_group\": 4.077679474347948}, {\"enrolled_university\": \"\", \"experience\": \"7\", \"total_measure\": 270534.0, \"share_within_group\": 3.933681663960692}, {\"enrolled_university\": \"no_enrollment\", \"experience\": \"8\", \"total_measure\": 9029058.0, \"share_within_group\": 3.926044920318171}, {\"enrolled_university\": \"Part time course\", \"experience\": \"1\", \"total_measure\": 820374.0, \"share_within_group\": 3.8846318685619385}, {\"enrolled_university\": \"no_enrollment\", \"experience\": \"11\", \"total_measure\": 8890611.0, \"share_within_group\": 3.8658449369884273}, {\"enrolled_university\": \"no_enrollment\", \"experience\": \"16\", \"total_measure\": 7916648.0, \"share_within_group\": 3.4423431177811694}, {\"enrolled_university\": \"Part time course\", \"experience\": \"<1\", \"total_measure\": 719403.0, \"share_within_group\": 3.406514370444534}, {\"enrolled_university\": \"no_enrollment\", \"experience\": \"14\", \"total_measure\": 7743994.0, \"share_within_group\": 3.3672691333552622}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 21.58}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cac5916e1e379119/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cac5916e1e379119/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..d016c8ddb56ff48eb187d16ee40f508516734c57
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cac5916e1e379119/run_manifest.json
@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:35:57.403722+00:00",
+  "ended_at": "2026-05-19T15:36:11.537492+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_cac5916e1e379119",
+    "problem_id": "v2p_m9_304afe02fc46df1e",
+    "dataset_id": "m9",
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "within_group_proportion",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=enrolled_university, measure_col=enrollee_id.",
+    "bindings": {
+      "group_col": "enrolled_university",
+      "measure_col": "enrollee_id",
+      "item_col": "experience",
+      "top_k": 17,
+      "top_n": 7,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 22283.62,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=2/2",
+      "binding_index=27"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_cac5916e1e379119.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_cac5916e1e379119",
+    "api_calls": 0,
+    "input_tokens": 14771,
+    "cached_input_tokens": 12032,
+    "output_tokens": 707,
+    "total_tokens": 15478,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 14105.38,
+    "sql_execution_elapsed_ms_total": 21.58,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cac5916e1e379119/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cac5916e1e379119/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cac5916e1e379119/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..1aef39cc574aabe7320591f036221643b9c66491
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cac5916e1e379119/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:36:11.512880+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14105.38, "started_at": "2026-05-19T15:35:57.406111+00:00", "ended_at": "2026-05-19T15:36:11.511522+00:00", "prompt_metrics": {"chars": 9727, "bytes_utf8": 9727, "lines": 266, "estimated_tokens": null}, "response_metrics": {"chars": 666, "bytes_utf8": 666, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14771, "cached_input_tokens": 12032, "output_tokens": 707, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"enrolled_university\\\",\\n  \\\"experience\\\",\\n  SUM(CAST(\\\"enrollee_id\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"enrollee_id\\\" AS REAL)) * 100.0 /\\n    SUM(SUM(CAST(\\\"enrollee_id\\\" AS REAL))) OVER (PARTITION BY \\\"enrolled_university\\\") AS share_within_group\\nFROM \\\"m9\\\"\\nGROUP BY \\\"enrolled_university\\\", \\\"experience\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided template with group_col=\\\"enrolled_university\\\", item_col=\\\"experience\\\", and measure_col=\\\"enrollee_id\\\". Since \\\"enrollee_id\\\" is stored as TEXT in SQLite, it is cast to REAL so SUM(...) remains SQLite-compatible.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cac5916e1e379119/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cac5916e1e379119/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..30b4dde7b2f4d2a04da6f2c7ae1291ad8ad3c658
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cac5916e1e379119/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_cac5916e1e379119",
+  "api_calls": 0,
+  "input_tokens": 14771,
+  "cached_input_tokens": 12032,
+  "output_tokens": 707,
+  "total_tokens": 15478,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 14105.38,
+  "sql_execution_elapsed_ms_total": 21.58,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cac5916e1e379119/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cad7b4c010a357ce/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cad7b4c010a357ce/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..74084dfdc77c78f292d1b575ab44b131d515a7a2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cad7b4c010a357ce/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=relevent_experience, measure_col=training_hours.
+Result preview: [{"relevent_experience": "Has relevent experience", "avg_measure": 65.80017401392111}, {"relevent_experience": "No relevent experience", "avg_measure": 64.2532612746925}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cad7b4c010a357ce/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cad7b4c010a357ce/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..7b334f56cef8193b6e0442fea819eead2c859c26
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cad7b4c010a357ce/generated_sql.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_m4_window_partition_avg
+-- query_record_id: v2q_m9_cad7b4c010a357ce
+-- problem_id: v2p_m9_7c0cb99794bbe9ba
+-- realization_mode: agent
+-- source_kind: agent
+SELECT DISTINCT
+  "relevent_experience",
+  AVG(CAST("training_hours" AS REAL)) OVER (PARTITION BY "relevent_experience") AS avg_measure
+FROM "m9"
+ORDER BY avg_measure DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cad7b4c010a357ce/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cad7b4c010a357ce/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..f5cec81247f9870255f5a082c7decaf0b11fa005
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cad7b4c010a357ce/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n  \"relevent_experience\",\n  AVG(CAST(\"training_hours\" AS REAL)) OVER (PARTITION BY \"relevent_experience\") AS avg_measure\nFROM \"m9\"\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n  \\\"relevent_experience\\\",\\n  AVG(CAST(\\\"training_hours\\\" AS REAL)) OVER (PARTITION BY \\\"relevent_experience\\\") AS avg_measure\\nFROM \\\"m9\\\"\\nORDER BY avg_measure DESC;\", \"columns\": [\"relevent_experience\", \"avg_measure\"], \"rows\": [{\"relevent_experience\": \"Has relevent experience\", \"avg_measure\": 65.80017401392111}, {\"relevent_experience\": \"No relevent experience\", \"avg_measure\": 64.2532612746925}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 38.96}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cad7b4c010a357ce/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cad7b4c010a357ce/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..8b30f9ea0d8878d494f521ce4559100f7db8efb3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cad7b4c010a357ce/run_manifest.json
@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:07:12.663880+00:00",
+  "ended_at": "2026-05-19T16:07:26.364081+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_cad7b4c010a357ce",
+    "problem_id": "v2p_m9_7c0cb99794bbe9ba",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=relevent_experience, measure_col=training_hours.",
+    "bindings": {
+      "group_col": "relevent_experience",
+      "measure_col": "training_hours",
+      "top_k": 19,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 70.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=2/2",
+      "binding_index=134"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "problem_index_within_template": 3,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_cad7b4c010a357ce.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_cad7b4c010a357ce",
+    "api_calls": 0,
+    "input_tokens": 14662,
+    "cached_input_tokens": 13696,
+    "output_tokens": 367,
+    "total_tokens": 15029,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 12652.0,
+    "sql_execution_elapsed_ms_total": 38.96,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cad7b4c010a357ce/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cad7b4c010a357ce/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cad7b4c010a357ce/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..f294ef03fa7994b907e752f28489f716255404ba
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cad7b4c010a357ce/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:07:15.911170+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3241.89, "started_at": "2026-05-19T16:07:12.667687+00:00", "ended_at": "2026-05-19T16:07:15.909623+00:00", "prompt_metrics": {"chars": 9400, "bytes_utf8": 9400, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-c32e-7420-aaff-ad61c67f0cca\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:07:26.323042+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9410.11, "started_at": "2026-05-19T16:07:16.912107+00:00", "ended_at": "2026-05-19T16:07:26.322252+00:00", "prompt_metrics": {"chars": 9400, "bytes_utf8": 9400, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 445, "bytes_utf8": 445, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14662, "cached_input_tokens": 13696, "output_tokens": 367, "reasoning_output_tokens": 252}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n  \\\"relevent_experience\\\",\\n  AVG(CAST(\\\"training_hours\\\" AS REAL)) OVER (PARTITION BY \\\"relevent_experience\\\") AS avg_measure\\nFROM \\\"m9\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"relevent_experience\\\" and measure_col=\\\"training_hours\\\". CAST to REAL is used because the schema stores \\\"training_hours\\\" as TEXT.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cad7b4c010a357ce/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cad7b4c010a357ce/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..f2a1044e27a0b2bdfe10c30cec10ab8a80aac6b5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cad7b4c010a357ce/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_cad7b4c010a357ce",
+  "api_calls": 0,
+  "input_tokens": 14662,
+  "cached_input_tokens": 13696,
+  "output_tokens": 367,
+  "total_tokens": 15029,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 2,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 12652.0,
+  "sql_execution_elapsed_ms_total": 38.96,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cad7b4c010a357ce/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cf8beba493454b99/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cf8beba493454b99/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..04e030754be9a7a46bec62babfeb17fba2eb175f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cf8beba493454b99/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=experience, condition_col=enrolled_university.
+Result preview: [{"experience": "20", "condition_ratio": 46.666666666666664}, {"experience": ">20", "condition_ratio": 37.25301204819277}, {"experience": "17", "condition_ratio": 23.846153846153847}, {"experience": "16", "condition_ratio": 15.620689655172415}, {"experience": "19", "condition_ratio": 15.588235294117647}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cf8beba493454b99/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cf8beba493454b99/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..c5dd3191c362a8779bbbfc2b6b7879216bd16595
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cf8beba493454b99/generated_sql.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: contrastive_conditional_view
+-- template_id: tpl_m4_group_ratio_two_conditions
+-- query_record_id: v2q_m9_cf8beba493454b99
+-- problem_id: v2p_m9_65f3a34dbbc89516
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+    SELECT
+        "experience",
+        SUM(CASE WHEN "enrolled_university" = 'no_enrollment' THEN 1 ELSE 0 END) AS "numerator_count",
+        SUM(CASE WHEN "enrolled_university" = 'Full time course' THEN 1 ELSE 0 END) AS "denominator_count"
+    FROM "m9"
+    GROUP BY "experience"
+)
+SELECT
+    "experience",
+    CAST("numerator_count" AS FLOAT) / NULLIF("denominator_count", 0) AS "condition_ratio"
+FROM "grouped"
+WHERE ("numerator_count" + "denominator_count") >= 5
+ORDER BY "condition_ratio" DESC
+LIMIT 12;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cf8beba493454b99/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cf8beba493454b99/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..1c30a5d80dfd1988d7f5d81f427408a941541386
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cf8beba493454b99/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions.\nWITH \"grouped\" AS (\n    SELECT\n        \"experience\",\n        SUM(CASE WHEN \"enrolled_university\" = 'no_enrollment' THEN 1 ELSE 0 END) AS \"numerator_count\",\n        SUM(CASE WHEN \"enrolled_university\" = 'Full time course' THEN 1 ELSE 0 END) AS \"denominator_count\"\n    FROM \"m9\"\n    GROUP BY \"experience\"\n)\nSELECT\n    \"experience\",\n    CAST(\"numerator_count\" AS FLOAT) / NULLIF(\"denominator_count\", 0) AS \"condition_ratio\"\nFROM \"grouped\"\nWHERE (\"numerator_count\" + \"denominator_count\") >= 5\nORDER BY \"condition_ratio\" DESC\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions.\\nWITH \\\"grouped\\\" AS (\\n    SELECT\\n        \\\"experience\\\",\\n        SUM(CASE WHEN \\\"enrolled_university\\\" = 'no_enrollment' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n        SUM(CASE WHEN \\\"enrolled_university\\\" = 'Full time course' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"experience\\\"\\n)\\nSELECT\\n    \\\"experience\\\",\\n    CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nWHERE (\\\"numerator_count\\\" + \\\"denominator_count\\\") >= 5\\nORDER BY \\\"condition_ratio\\\" DESC\\nLIMIT 12;\", \"columns\": [\"experience\", \"condition_ratio\"], \"rows\": [{\"experience\": \"20\", \"condition_ratio\": 46.666666666666664}, {\"experience\": \">20\", \"condition_ratio\": 37.25301204819277}, {\"experience\": \"17\", \"condition_ratio\": 23.846153846153847}, {\"experience\": \"16\", \"condition_ratio\": 15.620689655172415}, {\"experience\": \"19\", \"condition_ratio\": 15.588235294117647}, {\"experience\": \"18\", \"condition_ratio\": 15.4375}, {\"experience\": \"15\", \"condition_ratio\": 10.517857142857142}, {\"experience\": \"12\", \"condition_ratio\": 10.5}, {\"experience\": \"14\", \"condition_ratio\": 8.116666666666667}, {\"experience\": \"13\", \"condition_ratio\": 8.0}, {\"experience\": \"11\", \"condition_ratio\": 6.833333333333333}, {\"experience\": \"10\", \"condition_ratio\": 4.806451612903226}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.81}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cf8beba493454b99/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cf8beba493454b99/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..17c819248c37edc88e4be83b46a9727310d6539c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cf8beba493454b99/run_manifest.json
@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:41:26.719152+00:00",
+  "ended_at": "2026-05-19T15:41:41.671122+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_cf8beba493454b99",
+    "problem_id": "v2p_m9_65f3a34dbbc89516",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "contrastive_conditional_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=experience, condition_col=enrolled_university.",
+    "bindings": {
+      "group_col": "experience",
+      "condition_col": "enrolled_university",
+      "condition_value": "no_enrollment",
+      "positive_value": "no_enrollment",
+      "negative_value": "Full time course",
+      "top_k": 12,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 25169.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/1",
+      "binding_index=42"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 4,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_cf8beba493454b99.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_cf8beba493454b99",
+    "api_calls": 0,
+    "input_tokens": 14863,
+    "cached_input_tokens": 13696,
+    "output_tokens": 759,
+    "total_tokens": 15622,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 14937.15,
+    "sql_execution_elapsed_ms_total": 10.81,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cf8beba493454b99/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cf8beba493454b99/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cf8beba493454b99/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..2c44d16079b58cc0d7abf8c57b3e4ca5e4794c65
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cf8beba493454b99/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:41:41.658837+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14937.15, "started_at": "2026-05-19T15:41:26.720924+00:00", "ended_at": "2026-05-19T15:41:41.658097+00:00", "prompt_metrics": {"chars": 10156, "bytes_utf8": 10156, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 881, "bytes_utf8": 881, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14863, "cached_input_tokens": 13696, "output_tokens": 759, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions.\\nWITH \\\"grouped\\\" AS (\\n    SELECT\\n        \\\"experience\\\",\\n        SUM(CASE WHEN \\\"enrolled_university\\\" = 'no_enrollment' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n        SUM(CASE WHEN \\\"enrolled_university\\\" = 'Full time course' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"experience\\\"\\n)\\nSELECT\\n    \\\"experience\\\",\\n    CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nWHERE (\\\"numerator_count\\\" + \\\"denominator_count\\\") >= 5\\nORDER BY \\\"condition_ratio\\\" DESC\\nLIMIT 12;\",\"notes\":\"Computes, for each experience group, the ratio of rows with enrolled_university = 'no_enrollment' to rows with enrolled_university = 'Full time course'. Applies a minimum combined support of 5 and returns the top 12 groups by ratio.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cf8beba493454b99/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cf8beba493454b99/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..1cf6db074e6179f9a8359275678e360bca5eb84f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cf8beba493454b99/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_cf8beba493454b99",
+  "api_calls": 0,
+  "input_tokens": 14863,
+  "cached_input_tokens": 13696,
+  "output_tokens": 759,
+  "total_tokens": 15622,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 14937.15,
+  "sql_execution_elapsed_ms_total": 10.81,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_cf8beba493454b99/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d0e648e47097b9a5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d0e648e47097b9a5/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..393b4b5e9b02187f22291188cdc62811110e5542
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d0e648e47097b9a5/run_manifest.json
@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:06:09.239265+00:00",
+  "ended_at": "2026-05-19T16:06:16.836728+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_d0e648e47097b9a5",
+    "problem_id": "v2p_m9_51ae4e7849e1b28e",
+    "dataset_id": "m9",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=experience.",
+    "bindings": {
+      "group_col": "experience",
+      "top_k": 16,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 25169.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=2/2",
+      "binding_index=126"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d0e648e47097b9a5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d0e648e47097b9a5/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..7be5826e17ff391838d92ce61cfa8c692fa26da2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d0e648e47097b9a5/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:06:12.698805+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3456.98, "started_at": "2026-05-19T16:06:09.241107+00:00", "ended_at": "2026-05-19T16:06:12.698116+00:00", "prompt_metrics": {"chars": 9280, "bytes_utf8": 9280, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-cb4f-7f11-a901-463568de7594\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:06:16.836642+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3136.23, "started_at": "2026-05-19T16:06:13.699636+00:00", "ended_at": "2026-05-19T16:06:16.835895+00:00", "prompt_metrics": {"chars": 9280, "bytes_utf8": 9280, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-dcc7-7d41-b6b2-3747e1063193\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d3e278414d888256/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d3e278414d888256/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..fff5061b4de2ea57aa5a2d8268c45cff3978ed49
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d3e278414d888256/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=company_type, measure_col=training_hours.
+Result preview: [{"company_type": "Other", "experience": ">20", "total_measure": 1703.0, "share_within_group": 20.39765241346269}, {"company_type": "Pvt Ltd", "experience": ">20", "total_measure": 120022.0, "share_within_group": 18.729235815594535}, {"company_type": "Public Sector", "experience": ">20", "total_measure": 10879.0, "share_within_group": 18.358702622430727}, {"company_type": "NGO", "experience": ">20", "total_measure": 6412.0, "share_within_group": 18.137074647130373}, {"company_type": "", "experience": ">20", "total_measure": 60634.0, "share_within_group": 15.175724447247626}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d3e278414d888256/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d3e278414d888256/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..d25263ca1fba1d8aff8072e93972a6ee80817691
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d3e278414d888256/generated_sql.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_d3e278414d888256
+-- problem_id: v2p_m9_20a79412b029fc7f
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "company_type", "experience",
+       SUM(CAST(NULLIF("training_hours", '') AS REAL)) AS total_measure,
+       SUM(CAST(NULLIF("training_hours", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("training_hours", '') AS REAL))) OVER (PARTITION BY "company_type") AS share_within_group
+FROM "m9"
+WHERE NULLIF("training_hours", '') IS NOT NULL
+GROUP BY "company_type", "experience"
+ORDER BY share_within_group DESC
+LIMIT 17;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d3e278414d888256/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d3e278414d888256/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..33765eec03325f9d8623b1d58daca1988aed941c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d3e278414d888256/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"company_type\", \"experience\",\n       SUM(CAST(NULLIF(\"training_hours\", '') AS REAL)) AS total_measure,\n       SUM(CAST(NULLIF(\"training_hours\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"training_hours\", '') AS REAL))) OVER (PARTITION BY \"company_type\") AS share_within_group\nFROM \"m9\"\nWHERE NULLIF(\"training_hours\", '') IS NOT NULL\nGROUP BY \"company_type\", \"experience\"\nORDER BY share_within_group DESC\nLIMIT 17;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"company_type\\\", \\\"experience\\\",\\n       SUM(CAST(NULLIF(\\\"training_hours\\\", '') AS REAL)) AS total_measure,\\n       SUM(CAST(NULLIF(\\\"training_hours\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"training_hours\\\", '') AS REAL))) OVER (PARTITION BY \\\"company_type\\\") AS share_within_group\\nFROM \\\"m9\\\"\\nWHERE NULLIF(\\\"training_hours\\\", '') IS NOT NULL\\nGROUP BY \\\"company_type\\\", \\\"experience\\\"\\nORDER BY share_within_group DESC\\nLIMIT 17;\", \"columns\": [\"company_type\", \"experience\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"company_type\": \"Other\", \"experience\": \">20\", \"total_measure\": 1703.0, \"share_within_group\": 20.39765241346269}, {\"company_type\": \"Pvt Ltd\", \"experience\": \">20\", \"total_measure\": 120022.0, \"share_within_group\": 18.729235815594535}, {\"company_type\": \"Public Sector\", \"experience\": \">20\", \"total_measure\": 10879.0, \"share_within_group\": 18.358702622430727}, {\"company_type\": \"NGO\", \"experience\": \">20\", \"total_measure\": 6412.0, \"share_within_group\": 18.137074647130373}, {\"company_type\": \"\", \"experience\": \">20\", \"total_measure\": 60634.0, \"share_within_group\": 15.175724447247626}, {\"company_type\": \"Funded Startup\", \"experience\": \">20\", \"total_measure\": 9526.0, \"share_within_group\": 14.204342120959083}, {\"company_type\": \"Early Stage Startup\", \"experience\": \"5\", \"total_measure\": 4566.0, \"share_within_group\": 10.89685456541454}, {\"company_type\": \"Other\", \"experience\": \"6\", \"total_measure\": 851.0, \"share_within_group\": 10.192837465564738}, {\"company_type\": \"Other\", \"experience\": \"2\", \"total_measure\": 830.0, \"share_within_group\": 9.941310336567254}, {\"company_type\": \"\", \"experience\": \"3\", \"total_measure\": 39550.0, \"share_within_group\": 9.898735064297979}, {\"company_type\": \"Early Stage Startup\", \"experience\": \"3\", \"total_measure\": 4107.0, \"share_within_group\": 9.801441458641593}, {\"company_type\": \"\", \"experience\": \"4\", \"total_measure\": 37447.0, \"share_within_group\": 9.372387659994093}, {\"company_type\": \"Early Stage Startup\", \"experience\": \"4\", \"total_measure\": 3573.0, \"share_within_group\": 8.527039282134504}, {\"company_type\": \"\", \"experience\": \"2\", \"total_measure\": 34024.0, \"share_within_group\": 8.515665280092906}, {\"company_type\": \"Public Sector\", \"experience\": \"5\", \"total_measure\": 4941.0, \"share_within_group\": 8.338114684937056}, {\"company_type\": \"NGO\", \"experience\": \"4\", \"total_measure\": 2898.0, \"share_within_group\": 8.197324130908267}, {\"company_type\": \"\", \"experience\": \"5\", \"total_measure\": 32006.0, \"share_within_group\": 8.010592021944907}], \"row_count_returned\": 17, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 30.28}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d3e278414d888256/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d3e278414d888256/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..cadc0a3525e58a44836fa33ee6c51a57d2db717b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d3e278414d888256/run_manifest.json
@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:39:10.066350+00:00",
+  "ended_at": "2026-05-19T15:39:27.714528+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_d3e278414d888256",
+    "problem_id": "v2p_m9_20a79412b029fc7f",
+    "dataset_id": "m9",
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=company_type, measure_col=training_hours.",
+    "bindings": {
+      "group_col": "company_type",
+      "measure_col": "training_hours",
+      "item_col": "experience",
+      "top_k": 17,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 70.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=9",
+      "sql_variant_index=2/2",
+      "binding_index=32"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 9,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_d3e278414d888256.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_d3e278414d888256",
+    "api_calls": 0,
+    "input_tokens": 14763,
+    "cached_input_tokens": 13696,
+    "output_tokens": 710,
+    "total_tokens": 15473,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 17612.17,
+    "sql_execution_elapsed_ms_total": 30.28,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d3e278414d888256/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d3e278414d888256/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d3e278414d888256/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..973a8b04249bae479c52d839a3ce1b8ae1a70526
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d3e278414d888256/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:39:27.681888+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17612.17, "started_at": "2026-05-19T15:39:10.068528+00:00", "ended_at": "2026-05-19T15:39:27.680728+00:00", "prompt_metrics": {"chars": 9710, "bytes_utf8": 9710, "lines": 266, "estimated_tokens": null}, "response_metrics": {"chars": 753, "bytes_utf8": 753, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14763, "cached_input_tokens": 13696, "output_tokens": 710, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"company_type\\\", \\\"experience\\\",\\n       SUM(CAST(NULLIF(\\\"training_hours\\\", '') AS REAL)) AS total_measure,\\n       SUM(CAST(NULLIF(\\\"training_hours\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"training_hours\\\", '') AS REAL))) OVER (PARTITION BY \\\"company_type\\\") AS share_within_group\\nFROM \\\"m9\\\"\\nWHERE NULLIF(\\\"training_hours\\\", '') IS NOT NULL\\nGROUP BY \\\"company_type\\\", \\\"experience\\\"\\nORDER BY share_within_group DESC\\nLIMIT 17;\",\"notes\":\"Uses the requested template with group_col=\\\"company_type\\\", item_col=\\\"experience\\\", and measure_col=\\\"training_hours\\\". \\\"training_hours\\\" is stored as TEXT in SQLite, so it is cast to REAL; empty strings are excluded from the measure.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d3e278414d888256/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d3e278414d888256/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..ba0e0bf1e42fd57891cf8137babc358d5779581e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d3e278414d888256/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_d3e278414d888256",
+  "api_calls": 0,
+  "input_tokens": 14763,
+  "cached_input_tokens": 13696,
+  "output_tokens": 710,
+  "total_tokens": 15473,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 17612.17,
+  "sql_execution_elapsed_ms_total": 30.28,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d3e278414d888256/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d4358642b47fe90b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d4358642b47fe90b/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..40b2d2835070ad13a7af805f11acf1252ea19f01
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d4358642b47fe90b/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=relevent_experience.
+Result preview: [{"relevent_experience": "No relevent experience", "support": 5366}, {"relevent_experience": "Has relevent experience", "support": 13792}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d4358642b47fe90b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d4358642b47fe90b/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..090e6cc44e947d40f20aaa9e2eaf913500b9ecf0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d4358642b47fe90b/generated_sql.sql
@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tail_low_support_group_count_v2
+-- query_record_id: v2q_m9_d4358642b47fe90b
+-- problem_id: v2p_m9_1c3428de60d20643
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+    "relevent_experience",
+    COUNT(*) AS "support"
+FROM "m9"
+GROUP BY "relevent_experience"
+ORDER BY "support" ASC, "relevent_experience"
+LIMIT 17;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d4358642b47fe90b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d4358642b47fe90b/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..05d70deb0576514e441c4f703ee76538dc1c3185
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d4358642b47fe90b/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n    \"relevent_experience\",\n    COUNT(*) AS \"support\"\nFROM \"m9\"\nGROUP BY \"relevent_experience\"\nORDER BY \"support\" ASC, \"relevent_experience\"\nLIMIT 17;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"relevent_experience\\\",\\n    COUNT(*) AS \\\"support\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"relevent_experience\\\"\\nORDER BY \\\"support\\\" ASC, \\\"relevent_experience\\\"\\nLIMIT 17;\", \"columns\": [\"relevent_experience\", \"support\"], \"rows\": [{\"relevent_experience\": \"No relevent experience\", \"support\": 5366}, {\"relevent_experience\": \"Has relevent experience\", \"support\": 13792}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.49}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d4358642b47fe90b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d4358642b47fe90b/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..738ea0202d3beec1d7f1706131d2a1cbf02f9aa8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d4358642b47fe90b/run_manifest.json
@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:04:47.831881+00:00",
+  "ended_at": "2026-05-19T16:04:55.934282+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_d4358642b47fe90b",
+    "problem_id": "v2p_m9_1c3428de60d20643",
+    "dataset_id": "m9",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=relevent_experience.",
+    "bindings": {
+      "group_col": "relevent_experience",
+      "top_k": 17,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 88.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=2/2",
+      "binding_index=122"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 3,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_d4358642b47fe90b.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_d4358642b47fe90b",
+    "api_calls": 0,
+    "input_tokens": 14660,
+    "cached_input_tokens": 13696,
+    "output_tokens": 278,
+    "total_tokens": 14938,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 8087.15,
+    "sql_execution_elapsed_ms_total": 9.49,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d4358642b47fe90b/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d4358642b47fe90b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d4358642b47fe90b/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b45ecc75d337fe2024ee7ea129088c0aad3372df
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d4358642b47fe90b/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:04:55.923401+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8087.15, "started_at": "2026-05-19T16:04:47.835317+00:00", "ended_at": "2026-05-19T16:04:55.922499+00:00", "prompt_metrics": {"chars": 9294, "bytes_utf8": 9294, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 358, "bytes_utf8": 358, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14660, "cached_input_tokens": 13696, "output_tokens": 278, "reasoning_output_tokens": 170}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"relevent_experience\\\",\\n    COUNT(*) AS \\\"support\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"relevent_experience\\\"\\nORDER BY \\\"support\\\" ASC, \\\"relevent_experience\\\"\\nLIMIT 17;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to \\\"relevent_experience\\\" and top_k set to 17.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d4358642b47fe90b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d4358642b47fe90b/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..d05e573a10ff8f98a419d00406e1c3e623883e08
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d4358642b47fe90b/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_d4358642b47fe90b",
+  "api_calls": 0,
+  "input_tokens": 14660,
+  "cached_input_tokens": 13696,
+  "output_tokens": 278,
+  "total_tokens": 14938,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 8087.15,
+  "sql_execution_elapsed_ms_total": 9.49,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d4358642b47fe90b/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d45f5b268fce1627/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d45f5b268fce1627/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..649e09f0e9bdf24601630a4cba83fa171fae3203
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d45f5b268fce1627/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"city_development_index": "0.92", "total_rows": 5200, "missing_rows": 0, "missing_rate": 0.0}, {"city_development_index": "0.624", "total_rows": 2702, "missing_rows": 0, "missing_rate": 0.0}, {"city_development_index": "0.91", "total_rows": 1533, "missing_rows": 0, "missing_rate": 0.0}, {"city_development_index": "0.9259999999999999", "total_rows": 1336, "missing_rows": 0, "missing_rate": 0.0}, {"city_development_index": "0.698", "total_rows": 683, "missing_rows": 0, "missing_rate": 0.0}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d45f5b268fce1627/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d45f5b268fce1627/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..0e5ecaae0780791b858bb1262e75637572f9c519
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d45f5b268fce1627/generated_sql.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_rate_by_subgroup
+-- variant_semantic_role: missing_rate_by_subgroup
+-- template_id: tpl_missing_rate_by_subgroup
+-- query_record_id: v2q_m9_d45f5b268fce1627
+-- problem_id: v2p_m9_60a4530fac361bb4
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "city_development_index",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "education_level" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "education_level" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "city_development_index"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d45f5b268fce1627/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d45f5b268fce1627/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..6984c8c0b7e02cfa9469898093db3aea6180eba9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d45f5b268fce1627/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_m9_d45f5b268fce1627\n-- problem_id: v2p_m9_60a4530fac361bb4\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"city_development_index\",\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"education_level\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"education_level\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m9\"\nGROUP BY \"city_development_index\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_m9_d45f5b268fce1627\\n-- problem_id: v2p_m9_60a4530fac361bb4\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"city_development_index\\\",\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"education_level\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"education_level\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m9\\\"\\nGROUP BY \\\"city_development_index\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"city_development_index\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"city_development_index\": \"0.92\", \"total_rows\": 5200, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.624\", \"total_rows\": 2702, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.91\", \"total_rows\": 1533, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.9259999999999999\", \"total_rows\": 1336, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.698\", \"total_rows\": 683, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.897\", \"total_rows\": 586, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.9390000000000001\", \"total_rows\": 497, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.855\", \"total_rows\": 431, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.804\", \"total_rows\": 304, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.924\", \"total_rows\": 301, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.754\", \"total_rows\": 280, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.887\", \"total_rows\": 275, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.884\", \"total_rows\": 266, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.55\", \"total_rows\": 247, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.9129999999999999\", \"total_rows\": 197, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.899\", \"total_rows\": 182, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.802\", \"total_rows\": 175, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.925\", \"total_rows\": 171, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.893\", \"total_rows\": 160, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.878\", \"total_rows\": 151, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.743\", \"total_rows\": 146, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.9229999999999999\", \"total_rows\": 143, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.8959999999999999\", \"total_rows\": 140, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.8270000000000001\", \"total_rows\": 137, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.579\", \"total_rows\": 135, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.762\", \"total_rows\": 128, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.767\", \"total_rows\": 128, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.836\", \"total_rows\": 120, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.682\", \"total_rows\": 119, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.6659999999999999\", \"total_rows\": 114, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.89\", \"total_rows\": 113, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.866\", \"total_rows\": 103, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.6890000000000001\", \"total_rows\": 102, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.843\", \"total_rows\": 94, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.915\", \"total_rows\": 94, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.794\", \"total_rows\": 93, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.527\", \"total_rows\": 92, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.895\", \"total_rows\": 86, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.7759999999999999\", \"total_rows\": 82, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.903\", \"total_rows\": 82, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.738\", \"total_rows\": 79, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.9490000000000001\", \"total_rows\": 79, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.5579999999999999\", \"total_rows\": 75, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.74\", \"total_rows\": 67, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.555\", \"total_rows\": 63, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.789\", \"total_rows\": 54, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.727\", \"total_rows\": 53, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.7659999999999999\", \"total_rows\": 49, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.848\", \"total_rows\": 47, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"city_development_index\": \"0.691\", \"total_rows\": 45, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 9.73}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d45f5b268fce1627/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d45f5b268fce1627/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..21e9e59dbf6b51d1b96efd47126e065c73c7e9ea
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d45f5b268fce1627/run_manifest.json
@@ -0,0 +1,59 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:55.965481+00:00",
+  "ended_at": "2026-05-19T16:08:55.976033+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_d45f5b268fce1627",
+    "problem_id": "v2p_m9_60a4530fac361bb4",
+    "dataset_id": "m9",
+    "template_id": "tpl_missing_rate_by_subgroup",
+    "template_name": "Missing Rate by Subgroup",
+    "family_id": "missingness_structure",
+    "canonical_subitem_id": "co_missingness_pattern_consistency",
+    "intended_facet_id": "missing_rate_by_subgroup",
+    "variant_semantic_role": "missing_rate_by_subgroup",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": false,
+    "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=city_development_index, missing_col=education_level.",
+    "bindings": {
+      "missing_col": "education_level",
+      "group_col": "city_development_index"
+    },
+    "binding_roles": [
+      "missing_col",
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;",
+    "notes": [
+      "default_facets=missing_rate_by_subgroup,missing_target_interaction",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=4",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_d45f5b268fce1627.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d45f5b268fce1627/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d45f5b268fce1627/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_d45f5b268fce1627/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_db1f0e8a93edfcc7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_db1f0e8a93edfcc7/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1d64f502eb507da47d59b6b1fc4ca67c9574938a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_db1f0e8a93edfcc7/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"education_level": "Graduate", "total_rows": 11598, "missing_rows": 0, "missing_rate": 0.0}, {"education_level": "Masters", "total_rows": 4361, "missing_rows": 0, "missing_rate": 0.0}, {"education_level": "High School", "total_rows": 2017, "missing_rows": 0, "missing_rate": 0.0}, {"education_level": "", "total_rows": 460, "missing_rows": 0, "missing_rate": 0.0}, {"education_level": "Phd", "total_rows": 414, "missing_rows": 0, "missing_rate": 0.0}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_db1f0e8a93edfcc7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_db1f0e8a93edfcc7/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..61e7125c462e1c7551dd87ba082216ec6b8dc322
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_db1f0e8a93edfcc7/generated_sql.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m9_db1f0e8a93edfcc7
+-- problem_id: v2p_m9_e162bfe36994756d
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "education_level",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "company_type" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "company_type" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "education_level"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_db1f0e8a93edfcc7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_db1f0e8a93edfcc7/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..3718235769b4adb09894fe19e72cec4136296b2b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_db1f0e8a93edfcc7/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_m9_db1f0e8a93edfcc7\n-- problem_id: v2p_m9_e162bfe36994756d\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"education_level\",\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"company_type\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"company_type\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m9\"\nGROUP BY \"education_level\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_m9_db1f0e8a93edfcc7\\n-- problem_id: v2p_m9_e162bfe36994756d\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"education_level\\\",\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"company_type\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"company_type\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m9\\\"\\nGROUP BY \\\"education_level\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"education_level\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"education_level\": \"Graduate\", \"total_rows\": 11598, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"education_level\": \"Masters\", \"total_rows\": 4361, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"education_level\": \"High School\", \"total_rows\": 2017, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"education_level\": \"\", \"total_rows\": 460, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"education_level\": \"Phd\", \"total_rows\": 414, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"education_level\": \"Primary School\", \"total_rows\": 308, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.17}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_db1f0e8a93edfcc7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_db1f0e8a93edfcc7/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..134bcd149d4069d5c67b843adbd44fd508c60367
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_db1f0e8a93edfcc7/run_manifest.json
@@ -0,0 +1,59 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.155288+00:00",
+  "ended_at": "2026-05-19T16:08:56.165245+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_db1f0e8a93edfcc7",
+    "problem_id": "v2p_m9_e162bfe36994756d",
+    "dataset_id": "m9",
+    "template_id": "tpl_missing_target_interaction",
+    "template_name": "Missingness-Target Interaction",
+    "family_id": "missingness_structure",
+    "canonical_subitem_id": "co_missingness_pattern_consistency",
+    "intended_facet_id": "missing_target_interaction",
+    "variant_semantic_role": "missing_target_interaction",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": false,
+    "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=education_level, missing_col=company_type.",
+    "bindings": {
+      "missing_col": "company_type",
+      "target_col": "education_level"
+    },
+    "binding_roles": [
+      "missing_col",
+      "target_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {target_col},\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;",
+    "notes": [
+      "default_facets=missing_rate_by_subgroup,missing_target_interaction",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=11",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 11,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_db1f0e8a93edfcc7.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_db1f0e8a93edfcc7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_db1f0e8a93edfcc7/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_db1f0e8a93edfcc7/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_dd2c943b4f284c51/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_dd2c943b4f284c51/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6bcdc1ee3c8d197042d8a165f4d0cd108cdacd2e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_dd2c943b4f284c51/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=relevent_experience, condition_col=enrolled_university.
+Result preview: [{"relevent_experience": "Has relevent experience", "condition_rate": 0.8219257540603249}, {"relevent_experience": "No relevent experience", "condition_rate": 0.46235557212076034}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_dd2c943b4f284c51/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_dd2c943b4f284c51/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..2f1110d8b99203acc0c2f5aede4e1b183a314998
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_dd2c943b4f284c51/generated_sql.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_dd2c943b4f284c51
+-- problem_id: v2p_m9_7f700eac02983acc
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "relevent_experience",
+       AVG(CASE WHEN "enrolled_university" = 'no_enrollment' THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "m9"
+GROUP BY "relevent_experience"
+ORDER BY "condition_rate" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_dd2c943b4f284c51/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_dd2c943b4f284c51/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..05c995fb44a750ec703b144d576d067d413808fd
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_dd2c943b4f284c51/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"relevent_experience\",\n       AVG(CASE WHEN \"enrolled_university\" = 'no_enrollment' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m9\"\nGROUP BY \"relevent_experience\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"relevent_experience\\\",\\n       AVG(CASE WHEN \\\"enrolled_university\\\" = 'no_enrollment' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"relevent_experience\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"relevent_experience\", \"condition_rate\"], \"rows\": [{\"relevent_experience\": \"Has relevent experience\", \"condition_rate\": 0.8219257540603249}, {\"relevent_experience\": \"No relevent experience\", \"condition_rate\": 0.46235557212076034}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.0}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_dd2c943b4f284c51/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_dd2c943b4f284c51/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..904c8c36e6713f076871974b48478e5f911c654b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_dd2c943b4f284c51/run_manifest.json
@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:59:56.087272+00:00",
+  "ended_at": "2026-05-19T16:00:09.149297+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_dd2c943b4f284c51",
+    "problem_id": "v2p_m9_7f700eac02983acc",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "within_group_proportion",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=relevent_experience, condition_col=enrolled_university.",
+    "bindings": {
+      "group_col": "relevent_experience",
+      "condition_col": "enrolled_university",
+      "condition_value": "no_enrollment",
+      "positive_value": "no_enrollment",
+      "negative_value": "Full time course",
+      "top_k": 13,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 88.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=1/2",
+      "binding_index=98"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 3,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_dd2c943b4f284c51.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_dd2c943b4f284c51",
+    "api_calls": 0,
+    "input_tokens": 14722,
+    "cached_input_tokens": 12032,
+    "output_tokens": 288,
+    "total_tokens": 15010,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 12044.06,
+    "sql_execution_elapsed_ms_total": 9.0,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_dd2c943b4f284c51/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_dd2c943b4f284c51/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_dd2c943b4f284c51/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..46c1496b10bc8d0a4abe3884f33d054ae3424aa3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_dd2c943b4f284c51/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T15:59:59.023151+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2930.98, "started_at": "2026-05-19T15:59:56.091106+00:00", "ended_at": "2026-05-19T15:59:59.022125+00:00", "prompt_metrics": {"chars": 9614, "bytes_utf8": 9614, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f7-19df-7900-a575-f1d326cd866e\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:00:09.138703+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9113.08, "started_at": "2026-05-19T16:00:00.024720+00:00", "ended_at": "2026-05-19T16:00:09.137842+00:00", "prompt_metrics": {"chars": 9614, "bytes_utf8": 9614, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 470, "bytes_utf8": 470, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14722, "cached_input_tokens": 12032, "output_tokens": 288, "reasoning_output_tokens": 164}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"relevent_experience\\\",\\n       AVG(CASE WHEN \\\"enrolled_university\\\" = 'no_enrollment' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"relevent_experience\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applies the Grouped Condition Rate template as specified: groups by relevent_experience and computes the within-group proportion of rows where enrolled_university equals 'no_enrollment'.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_dd2c943b4f284c51/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_dd2c943b4f284c51/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..c7044e9cd331bfab4f3fcb7f65cfb40f36ca422e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_dd2c943b4f284c51/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_dd2c943b4f284c51",
+  "api_calls": 0,
+  "input_tokens": 14722,
+  "cached_input_tokens": 12032,
+  "output_tokens": 288,
+  "total_tokens": 15010,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 2,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 12044.06,
+  "sql_execution_elapsed_ms_total": 9.0,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_dd2c943b4f284c51/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_de1a3d0bc776d971/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_de1a3d0bc776d971/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..53208d8c116bc2e79a936bcee5f0ed41a90d8f12
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_de1a3d0bc776d971/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=experience, measure_col=enrollee_id.
+Result preview: [{"experience": ">20", "total_measure": 54456108.0}, {"experience": "5", "total_measure": 24561810.0}, {"experience": "4", "total_measure": 23932474.0}, {"experience": "3", "total_measure": 23669243.0}, {"experience": "6", "total_measure": 20681608.0}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_de1a3d0bc776d971/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_de1a3d0bc776d971/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..529f3c06058140fa3bce6b1f9855b4090b30cb72
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_de1a3d0bc776d971/generated_sql.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_rank_order
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m9_de1a3d0bc776d971
+-- problem_id: v2p_m9_bee4518214bef276
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "experience", SUM(CAST("enrollee_id" AS REAL)) AS total_measure
+FROM "m9"
+GROUP BY "experience"
+ORDER BY total_measure DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_de1a3d0bc776d971/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_de1a3d0bc776d971/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..5c3099b3897c67d4b360ccae59048a89a1a8dea2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_de1a3d0bc776d971/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"experience\", SUM(CAST(\"enrollee_id\" AS REAL)) AS total_measure\nFROM \"m9\"\nGROUP BY \"experience\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"experience\\\", SUM(CAST(\\\"enrollee_id\\\" AS REAL)) AS total_measure\\nFROM \\\"m9\\\"\\nGROUP BY \\\"experience\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"experience\", \"total_measure\"], \"rows\": [{\"experience\": \">20\", \"total_measure\": 54456108.0}, {\"experience\": \"5\", \"total_measure\": 24561810.0}, {\"experience\": \"4\", \"total_measure\": 23932474.0}, {\"experience\": \"3\", \"total_measure\": 23669243.0}, {\"experience\": \"6\", \"total_measure\": 20681608.0}, {\"experience\": \"2\", \"total_measure\": 19864312.0}, {\"experience\": \"7\", \"total_measure\": 17338063.0}, {\"experience\": \"9\", \"total_measure\": 16457366.0}, {\"experience\": \"10\", \"total_measure\": 16341566.0}, {\"experience\": \"8\", \"total_measure\": 13002052.0}, {\"experience\": \"11\", \"total_measure\": 11045782.0}, {\"experience\": \"15\", \"total_measure\": 10915167.0}, {\"experience\": \"1\", \"total_measure\": 9957720.0}, {\"experience\": \"14\", \"total_measure\": 9299253.0}, {\"experience\": \"<1\", \"total_measure\": 9290184.0}, {\"experience\": \"16\", \"total_measure\": 8960468.0}, {\"experience\": \"12\", \"total_measure\": 7954619.0}, {\"experience\": \"13\", \"total_measure\": 6671468.0}, {\"experience\": \"17\", \"total_measure\": 5665127.0}, {\"experience\": \"19\", \"total_measure\": 5086860.0}, {\"experience\": \"18\", \"total_measure\": 4726565.0}, {\"experience\": \"20\", \"total_measure\": 2402446.0}, {\"experience\": \"\", \"total_measure\": 1017851.0}], \"row_count_returned\": 23, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.24}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_de1a3d0bc776d971/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_de1a3d0bc776d971/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..52c01972775a0d9faa194dcb38cdf5bf4ec299ea
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_de1a3d0bc776d971/run_manifest.json
@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:31:30.904242+00:00",
+  "ended_at": "2026-05-19T15:31:42.229379+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_de1a3d0bc776d971",
+    "problem_id": "v2p_m9_bee4518214bef276",
+    "dataset_id": "m9",
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "internal_profile_stability",
+    "intended_facet_id": "subgroup_rank_order",
+    "variant_semantic_role": "collapsed_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=experience, measure_col=enrollee_id.",
+    "bindings": {
+      "group_col": "experience",
+      "measure_col": "enrollee_id",
+      "top_k": 16,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 22283.62,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=2/2",
+      "binding_index=6"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 1,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_de1a3d0bc776d971.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_de1a3d0bc776d971",
+    "api_calls": 0,
+    "input_tokens": 14648,
+    "cached_input_tokens": 12032,
+    "output_tokens": 508,
+    "total_tokens": 15156,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 11309.93,
+    "sql_execution_elapsed_ms_total": 10.24,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_de1a3d0bc776d971/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_de1a3d0bc776d971/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_de1a3d0bc776d971/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..ab08828f8fdb3eba645e09accc824e3944f930b1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_de1a3d0bc776d971/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:31:42.217611+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11309.93, "started_at": "2026-05-19T15:31:30.906877+00:00", "ended_at": "2026-05-19T15:31:42.216843+00:00", "prompt_metrics": {"chars": 9296, "bytes_utf8": 9296, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 378, "bytes_utf8": 378, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14648, "cached_input_tokens": 12032, "output_tokens": 508, "reasoning_output_tokens": 404}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"experience\\\", SUM(CAST(\\\"enrollee_id\\\" AS REAL)) AS total_measure\\nFROM \\\"m9\\\"\\nGROUP BY \\\"experience\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped-sum template with group_col=\\\"experience\\\" and measure_col=\\\"enrollee_id\\\"; CAST is applied because \\\"enrollee_id\\\" is stored as TEXT in the SQLite schema.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_de1a3d0bc776d971/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_de1a3d0bc776d971/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..2b5cd47f21ff70c4b685f87a27a53a75349eecf7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_de1a3d0bc776d971/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_de1a3d0bc776d971",
+  "api_calls": 0,
+  "input_tokens": 14648,
+  "cached_input_tokens": 12032,
+  "output_tokens": 508,
+  "total_tokens": 15156,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 11309.93,
+  "sql_execution_elapsed_ms_total": 10.24,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_de1a3d0bc776d971/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e06fef05dd74555d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e06fef05dd74555d/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..29b673a2ed233d0beabfc93392243a25b320404c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e06fef05dd74555d/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"relevent_experience": "Has relevent experience", "total_rows": 13792, "missing_rows": 0, "missing_rate": 0.0}, {"relevent_experience": "No relevent experience", "total_rows": 5366, "missing_rows": 0, "missing_rate": 0.0}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e06fef05dd74555d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e06fef05dd74555d/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..4af61a6ecec8b5acc85074106025c0bb4ca271c8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e06fef05dd74555d/generated_sql.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m9_e06fef05dd74555d
+-- problem_id: v2p_m9_9f96e78be2eaf5e6
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "relevent_experience",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "company_size" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "company_size" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "relevent_experience"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e06fef05dd74555d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e06fef05dd74555d/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b80739fdbf84e08a054c52c0e57a5d16a253c03e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e06fef05dd74555d/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_m9_e06fef05dd74555d\n-- problem_id: v2p_m9_9f96e78be2eaf5e6\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"relevent_experience\",\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"company_size\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"company_size\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m9\"\nGROUP BY \"relevent_experience\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_m9_e06fef05dd74555d\\n-- problem_id: v2p_m9_9f96e78be2eaf5e6\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"relevent_experience\\\",\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"company_size\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"company_size\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m9\\\"\\nGROUP BY \\\"relevent_experience\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"relevent_experience\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"relevent_experience\": \"Has relevent experience\", \"total_rows\": 13792, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"relevent_experience\": \"No relevent experience\", \"total_rows\": 5366, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.12}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e06fef05dd74555d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e06fef05dd74555d/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..fa6fb40b0f1236d42011c224790751f51ae07664
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e06fef05dd74555d/run_manifest.json
@@ -0,0 +1,59 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.135688+00:00",
+  "ended_at": "2026-05-19T16:08:56.144525+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_e06fef05dd74555d",
+    "problem_id": "v2p_m9_9f96e78be2eaf5e6",
+    "dataset_id": "m9",
+    "template_id": "tpl_missing_target_interaction",
+    "template_name": "Missingness-Target Interaction",
+    "family_id": "missingness_structure",
+    "canonical_subitem_id": "co_missingness_pattern_consistency",
+    "intended_facet_id": "missing_target_interaction",
+    "variant_semantic_role": "missing_target_interaction",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": false,
+    "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=relevent_experience, missing_col=company_size.",
+    "bindings": {
+      "missing_col": "company_size",
+      "target_col": "relevent_experience"
+    },
+    "binding_roles": [
+      "missing_col",
+      "target_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {target_col},\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;",
+    "notes": [
+      "default_facets=missing_rate_by_subgroup,missing_target_interaction",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=9",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 9,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e06fef05dd74555d.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e06fef05dd74555d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e06fef05dd74555d/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e06fef05dd74555d/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e184c88223563dd8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e184c88223563dd8/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5319bb9c4077a9bc562f3d8788e8b6a1fbee687e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e184c88223563dd8/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=gender, condition_col=relevent_experience.
+Result preview: [{"gender": "Male", "condition_rate": 0.7529687618183193}, {"gender": "Female", "condition_rate": 0.7035541195476576}, {"gender": "", "condition_rate": 0.6342058562555457}, {"gender": "Other", "condition_rate": 0.5602094240837696}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e184c88223563dd8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e184c88223563dd8/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..d6974906703f0b6eecc831b3d3e28f860508eacf
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e184c88223563dd8/generated_sql.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_e184c88223563dd8
+-- problem_id: v2p_m9_6eec9a19a5ae94c1
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "gender",
+       AVG(CASE WHEN "relevent_experience" = 'Has relevent experience' THEN 1 ELSE 0 END) AS condition_rate
+FROM "m9"
+GROUP BY "gender"
+ORDER BY condition_rate DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e184c88223563dd8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e184c88223563dd8/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..85413a6373cb13223b12838ee8480d5ff1340809
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e184c88223563dd8/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"gender\",\n       AVG(CASE WHEN \"relevent_experience\" = 'Has relevent experience' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m9\"\nGROUP BY \"gender\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"gender\\\",\\n       AVG(CASE WHEN \\\"relevent_experience\\\" = 'Has relevent experience' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m9\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"gender\", \"condition_rate\"], \"rows\": [{\"gender\": \"Male\", \"condition_rate\": 0.7529687618183193}, {\"gender\": \"Female\", \"condition_rate\": 0.7035541195476576}, {\"gender\": \"\", \"condition_rate\": 0.6342058562555457}, {\"gender\": \"Other\", \"condition_rate\": 0.5602094240837696}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 21.19}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e184c88223563dd8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e184c88223563dd8/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..6b838e58b6b2708a5e6547df9292a0320e80bba3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e184c88223563dd8/run_manifest.json
@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:59:35.150662+00:00",
+  "ended_at": "2026-05-19T15:59:45.750176+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_e184c88223563dd8",
+    "problem_id": "v2p_m9_6eec9a19a5ae94c1",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=gender, condition_col=relevent_experience.",
+    "bindings": {
+      "group_col": "gender",
+      "condition_col": "relevent_experience",
+      "condition_value": "Has relevent experience",
+      "positive_value": "Has relevent experience",
+      "negative_value": "No relevent experience",
+      "top_k": 12,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=2",
+      "sql_variant_index=1/2",
+      "binding_index=97"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 2,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e184c88223563dd8.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_e184c88223563dd8",
+    "api_calls": 0,
+    "input_tokens": 14719,
+    "cached_input_tokens": 13696,
+    "output_tokens": 376,
+    "total_tokens": 15095,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 10570.82,
+    "sql_execution_elapsed_ms_total": 21.19,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e184c88223563dd8/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e184c88223563dd8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e184c88223563dd8/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..49e3e82481d29b360331bba178657d6f37b7ade6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e184c88223563dd8/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:59:45.725613+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10570.82, "started_at": "2026-05-19T15:59:35.152841+00:00", "ended_at": "2026-05-19T15:59:45.723696+00:00", "prompt_metrics": {"chars": 9600, "bytes_utf8": 9600, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 554, "bytes_utf8": 554, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14719, "cached_input_tokens": 13696, "output_tokens": 376, "reasoning_output_tokens": 238}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"gender\\\",\\n       AVG(CASE WHEN \\\"relevent_experience\\\" = 'Has relevent experience' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m9\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Instantiated the Grouped Condition Rate template with group_col=\\\"gender\\\" and condition_col=\\\"relevent_experience\\\", measuring the share of rows in each gender group where relevent_experience is 'Has relevent experience'. Empty-string gender values, if present, will appear as their own group.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e184c88223563dd8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e184c88223563dd8/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..af412a8217a001e945827de223dd0349df42596c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e184c88223563dd8/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_e184c88223563dd8",
+  "api_calls": 0,
+  "input_tokens": 14719,
+  "cached_input_tokens": 13696,
+  "output_tokens": 376,
+  "total_tokens": 15095,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 10570.82,
+  "sql_execution_elapsed_ms_total": 21.19,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e184c88223563dd8/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1a797e538210d87/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1a797e538210d87/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..162f64e954bd106d64d2042b99eb19d88259859f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1a797e538210d87/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=relevent_experience.
+Result preview: [{"relevent_experience": "No relevent experience", "support": 5366}, {"relevent_experience": "Has relevent experience", "support": 13792}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1a797e538210d87/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1a797e538210d87/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..37dd7087b06603efc567ee9b7abb0b23ec12a012
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1a797e538210d87/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:04:47.812825+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8521.06, "started_at": "2026-05-19T16:04:39.290023+00:00", "ended_at": "2026-05-19T16:04:47.811119+00:00", "prompt_metrics": {"chars": 9292, "bytes_utf8": 9292, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 380, "bytes_utf8": 380, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14662, "cached_input_tokens": 13696, "output_tokens": 354, "reasoning_output_tokens": 243}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n  \\\"relevent_experience\\\",\\n  COUNT(*) AS \\\"support\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"relevent_experience\\\"\\nORDER BY \\\"support\\\" ASC, \\\"relevent_experience\\\"\\nLIMIT 12;\",\"notes\":\"Implements the planned Low-Support Group Count template using \\\"relevent_experience\\\" as the grouping column on the single table \\\"m9\\\".\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1aa0a1f67ea735c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1aa0a1f67ea735c/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d133248ef176f089aa0008d45ee0dc96eede1161
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1aa0a1f67ea735c/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=city_development_index, measure_col=enrollee_id.
+Result preview: [{"city_development_index": "0.64", "percentile_measure": 33332.0}, {"city_development_index": "0.725", "percentile_measure": 33312.0}, {"city_development_index": "0.48700000000000004", "percentile_measure": 33174.0}, {"city_development_index": "0.516", "percentile_measure": 33157.0}, {"city_development_index": "0.493", "percentile_measure": 33072.0}] Results were truncated.
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1aa0a1f67ea735c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1aa0a1f67ea735c/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..68cfc9c1f789748ccd8d72927749a1a1b730cac6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1aa0a1f67ea735c/generated_sql.sql
@@ -0,0 +1,38 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_m9_e1aa0a1f67ea735c
+-- problem_id: v2p_m9_609d86c13e11fae0
+-- realization_mode: agent
+-- source_kind: agent
+WITH "__ranked" AS (
+  SELECT
+    "city_development_index",
+    CAST("enrollee_id" AS REAL) AS "__measure",
+    ROW_NUMBER() OVER (
+      PARTITION BY "city_development_index"
+      ORDER BY CAST("enrollee_id" AS REAL)
+    ) AS "__rn",
+    COUNT(*) OVER (
+      PARTITION BY "city_development_index"
+    ) AS "__cnt"
+  FROM "m9"
+  WHERE "city_development_index" IS NOT NULL
+    AND TRIM("city_development_index") <> ''
+    AND "enrollee_id" IS NOT NULL
+    AND TRIM("enrollee_id") <> ''
+    AND "enrollee_id" NOT GLOB '*[^0-9]*'
+)
+SELECT
+  "city_development_index",
+  MIN("__measure") AS "percentile_measure"
+FROM "__ranked"
+WHERE "__rn" >= ((95 * "__cnt" + 99) / 100)
+GROUP BY "city_development_index"
+ORDER BY "percentile_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1aa0a1f67ea735c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1aa0a1f67ea735c/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..a7af642db25581c6e3a56423c2bde1453bb828b4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1aa0a1f67ea735c/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"__ranked\" AS (\n  SELECT\n    \"city_development_index\",\n    CAST(\"enrollee_id\" AS REAL) AS \"__measure\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"city_development_index\"\n      ORDER BY CAST(\"enrollee_id\" AS REAL)\n    ) AS \"__rn\",\n    COUNT(*) OVER (\n      PARTITION BY \"city_development_index\"\n    ) AS \"__cnt\"\n  FROM \"m9\"\n  WHERE \"city_development_index\" IS NOT NULL\n    AND TRIM(\"city_development_index\") <> ''\n    AND \"enrollee_id\" IS NOT NULL\n    AND TRIM(\"enrollee_id\") <> ''\n    AND \"enrollee_id\" NOT GLOB '*[^0-9]*'\n)\nSELECT\n  \"city_development_index\",\n  MIN(\"__measure\") AS \"percentile_measure\"\nFROM \"__ranked\"\nWHERE \"__rn\" >= ((95 * \"__cnt\" + 99) / 100)\nGROUP BY \"city_development_index\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"__ranked\\\" AS (\\n  SELECT\\n    \\\"city_development_index\\\",\\n    CAST(\\\"enrollee_id\\\" AS REAL) AS \\\"__measure\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"city_development_index\\\"\\n      ORDER BY CAST(\\\"enrollee_id\\\" AS REAL)\\n    ) AS \\\"__rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"city_development_index\\\"\\n    ) AS \\\"__cnt\\\"\\n  FROM \\\"m9\\\"\\n  WHERE \\\"city_development_index\\\" IS NOT NULL\\n    AND TRIM(\\\"city_development_index\\\") <> ''\\n    AND \\\"enrollee_id\\\" IS NOT NULL\\n    AND TRIM(\\\"enrollee_id\\\") <> ''\\n    AND \\\"enrollee_id\\\" NOT GLOB '*[^0-9]*'\\n)\\nSELECT\\n  \\\"city_development_index\\\",\\n  MIN(\\\"__measure\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"__ranked\\\"\\nWHERE \\\"__rn\\\" >= ((95 * \\\"__cnt\\\" + 99) / 100)\\nGROUP BY \\\"city_development_index\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"city_development_index\", \"percentile_measure\"], \"rows\": [{\"city_development_index\": \"0.64\", \"percentile_measure\": 33332.0}, {\"city_development_index\": \"0.725\", \"percentile_measure\": 33312.0}, {\"city_development_index\": \"0.48700000000000004\", \"percentile_measure\": 33174.0}, {\"city_development_index\": \"0.516\", \"percentile_measure\": 33157.0}, {\"city_development_index\": \"0.493\", \"percentile_measure\": 33072.0}, {\"city_development_index\": \"0.7879999999999999\", \"percentile_measure\": 33032.0}, {\"city_development_index\": \"0.764\", \"percentile_measure\": 32952.0}, {\"city_development_index\": \"0.555\", \"percentile_measure\": 32939.0}, {\"city_development_index\": \"0.682\", \"percentile_measure\": 32884.0}, {\"city_development_index\": \"0.479\", \"percentile_measure\": 32849.0}, {\"city_development_index\": \"0.563\", \"percentile_measure\": 32687.0}, {\"city_development_index\": \"0.6890000000000001\", \"percentile_measure\": 32443.0}, {\"city_development_index\": \"0.84\", \"percentile_measure\": 32412.0}, {\"city_development_index\": \"0.518\", \"percentile_measure\": 32400.0}, {\"city_development_index\": \"0.74\", \"percentile_measure\": 32328.0}, {\"city_development_index\": \"0.843\", \"percentile_measure\": 32275.0}, {\"city_development_index\": \"0.6659999999999999\", \"percentile_measure\": 32208.0}, {\"city_development_index\": \"0.856\", \"percentile_measure\": 32178.0}, {\"city_development_index\": \"0.691\", \"percentile_measure\": 32161.0}, {\"city_development_index\": \"0.664\", \"percentile_measure\": 32091.0}, {\"city_development_index\": \"0.9209999999999999\", \"percentile_measure\": 32064.0}, {\"city_development_index\": \"0.804\", \"percentile_measure\": 32061.0}, {\"city_development_index\": \"0.8270000000000001\", \"percentile_measure\": 32035.0}, {\"city_development_index\": \"0.92\", \"percentile_measure\": 31974.0}, {\"city_development_index\": \"0.727\", \"percentile_measure\": 31956.0}, {\"city_development_index\": \"0.743\", \"percentile_measure\": 31949.0}, {\"city_development_index\": \"0.884\", \"percentile_measure\": 31943.0}, {\"city_development_index\": \"0.9129999999999999\", \"percentile_measure\": 31936.0}, {\"city_development_index\": \"0.9229999999999999\", \"percentile_measure\": 31932.0}, {\"city_development_index\": \"0.915\", \"percentile_measure\": 31917.0}, {\"city_development_index\": \"0.624\", \"percentile_measure\": 31915.0}, {\"city_development_index\": \"0.754\", \"percentile_measure\": 31865.0}, {\"city_development_index\": \"0.83\", \"percentile_measure\": 31811.0}, {\"city_development_index\": \"0.579\", \"percentile_measure\": 31784.0}, {\"city_development_index\": \"0.893\", \"percentile_measure\": 31769.0}, {\"city_development_index\": \"0.647\", \"percentile_measure\": 31763.0}, {\"city_development_index\": \"0.91\", \"percentile_measure\": 31755.0}, {\"city_development_index\": \"0.735\", \"percentile_measure\": 31747.0}, {\"city_development_index\": \"0.903\", \"percentile_measure\": 31745.0}, {\"city_development_index\": \"0.865\", \"percentile_measure\": 31727.0}, {\"city_development_index\": \"0.887\", \"percentile_measure\": 31664.0}, {\"city_development_index\": \"0.855\", \"percentile_measure\": 31659.0}, {\"city_development_index\": \"0.527\", \"percentile_measure\": 31657.0}, {\"city_development_index\": \"0.878\", \"percentile_measure\": 31653.0}, {\"city_development_index\": \"0.895\", \"percentile_measure\": 31567.0}, {\"city_development_index\": \"0.9490000000000001\", \"percentile_measure\": 31539.0}, {\"city_development_index\": \"0.924\", \"percentile_measure\": 31510.0}, {\"city_development_index\": \"0.745\", \"percentile_measure\": 31474.0}, {\"city_development_index\": \"0.848\", \"percentile_measure\": 31454.0}, {\"city_development_index\": \"0.512\", \"percentile_measure\": 31443.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 58.97}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1aa0a1f67ea735c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1aa0a1f67ea735c/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..d454acab88935856e3c3e5b49796f038b2405200
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1aa0a1f67ea735c/run_manifest.json
@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:50:33.234688+00:00",
+  "ended_at": "2026-05-19T15:51:10.965629+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_e1aa0a1f67ea735c",
+    "problem_id": "v2p_m9_609d86c13e11fae0",
+    "dataset_id": "m9",
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_concentration_consistency",
+    "intended_facet_id": "rare_target_concentration",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=city_development_index, measure_col=enrollee_id.",
+    "bindings": {
+      "group_col": "city_development_index",
+      "measure_col": "enrollee_id",
+      "top_k": 14,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 25169.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "notes": [
+      "default_facets=rare_target_concentration",
+      "template_selection_mode=rule",
+      "problem_index_within_template=1",
+      "sql_variant_index=1/2",
+      "binding_index=84"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e1aa0a1f67ea735c.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_e1aa0a1f67ea735c",
+    "api_calls": 0,
+    "input_tokens": 14692,
+    "cached_input_tokens": 13696,
+    "output_tokens": 2392,
+    "total_tokens": 17084,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 37666.79,
+    "sql_execution_elapsed_ms_total": 58.97,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1aa0a1f67ea735c/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1aa0a1f67ea735c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1aa0a1f67ea735c/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..7b3b3abf86f5427c1e8b807683da13ba50ae671b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1aa0a1f67ea735c/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:51:10.904975+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 37666.79, "started_at": "2026-05-19T15:50:33.237086+00:00", "ended_at": "2026-05-19T15:51:10.903912+00:00", "prompt_metrics": {"chars": 9498, "bytes_utf8": 9498, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 1083, "bytes_utf8": 1083, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14692, "cached_input_tokens": 13696, "output_tokens": 2392, "reasoning_output_tokens": 2070}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"__ranked\\\" AS (\\n  SELECT\\n    \\\"city_development_index\\\",\\n    CAST(\\\"enrollee_id\\\" AS REAL) AS \\\"__measure\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"city_development_index\\\"\\n      ORDER BY CAST(\\\"enrollee_id\\\" AS REAL)\\n    ) AS \\\"__rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"city_development_index\\\"\\n    ) AS \\\"__cnt\\\"\\n  FROM \\\"m9\\\"\\n  WHERE \\\"city_development_index\\\" IS NOT NULL\\n    AND TRIM(\\\"city_development_index\\\") <> ''\\n    AND \\\"enrollee_id\\\" IS NOT NULL\\n    AND TRIM(\\\"enrollee_id\\\") <> ''\\n    AND \\\"enrollee_id\\\" NOT GLOB '*[^0-9]*'\\n)\\nSELECT\\n  \\\"city_development_index\\\",\\n  MIN(\\\"__measure\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"__ranked\\\"\\nWHERE \\\"__rn\\\" >= ((95 * \\\"__cnt\\\" + 99) / 100)\\nGROUP BY \\\"city_development_index\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile approximation with window functions. It ca"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1aa0a1f67ea735c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1aa0a1f67ea735c/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..2d4250f28160886607a21f8a2d4941d694c46c69
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1aa0a1f67ea735c/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_e1aa0a1f67ea735c",
+  "api_calls": 0,
+  "input_tokens": 14692,
+  "cached_input_tokens": 13696,
+  "output_tokens": 2392,
+  "total_tokens": 17084,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 37666.79,
+  "sql_execution_elapsed_ms_total": 58.97,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e1aa0a1f67ea735c/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e39abd54e4efa193/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e39abd54e4efa193/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..5c6a9ee172326d59e7edb26dd238f18a549ad801
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e39abd54e4efa193/run_manifest.json
@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:53:59.874798+00:00",
+  "ended_at": "2026-05-19T15:54:07.089393+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_e39abd54e4efa193",
+    "problem_id": "v2p_m9_31e898009c047f15",
+    "dataset_id": "m9",
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_concentration_consistency",
+    "intended_facet_id": "rare_target_concentration",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=enrolled_university, measure_col=enrollee_id.",
+    "bindings": {
+      "group_col": "enrolled_university",
+      "measure_col": "enrollee_id",
+      "top_k": 12,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 25169.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "notes": [
+      "default_facets=rare_target_concentration",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=1/2",
+      "binding_index=87"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e39abd54e4efa193/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e39abd54e4efa193/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..36cf8d4ec0a38d0091535655b34ec28880da1649
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e39abd54e4efa193/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T15:54:02.786106+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2907.79, "started_at": "2026-05-19T15:53:59.877514+00:00", "ended_at": "2026-05-19T15:54:02.785330+00:00", "prompt_metrics": {"chars": 9490, "bytes_utf8": 9490, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f1-aa32-7200-97bb-cf2c04cca01c\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T15:54:07.089300+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3300.93, "started_at": "2026-05-19T15:54:03.787575+00:00", "ended_at": "2026-05-19T15:54:07.088549+00:00", "prompt_metrics": {"chars": 9490, "bytes_utf8": 9490, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f1-b9ce-7273-9cf3-3ac46477b2db\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e5cb4e921e768ea7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e5cb4e921e768ea7/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..15fd0aba00cda122a819fd1b4fcee725fcd2e270
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e5cb4e921e768ea7/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"gender": "Male", "total_rows": 13221, "missing_rows": 0, "missing_rate": 0.0}, {"gender": "", "total_rows": 4508, "missing_rows": 0, "missing_rate": 0.0}, {"gender": "Female", "total_rows": 1238, "missing_rows": 0, "missing_rate": 0.0}, {"gender": "Other", "total_rows": 191, "missing_rows": 0, "missing_rate": 0.0}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e5cb4e921e768ea7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e5cb4e921e768ea7/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..d28b559e50366882bd9e6271708a0ccc3aca39b6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e5cb4e921e768ea7/generated_sql.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m9_e5cb4e921e768ea7
+-- problem_id: v2p_m9_f10f9688fd500c00
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "gender",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "experience" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "experience" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "gender"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e5cb4e921e768ea7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e5cb4e921e768ea7/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..9c9029bd0cb4b7d08f34a6efa69bc71d131d3d37
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e5cb4e921e768ea7/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_m9_e5cb4e921e768ea7\n-- problem_id: v2p_m9_f10f9688fd500c00\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"gender\",\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"experience\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"experience\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m9\"\nGROUP BY \"gender\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_m9_e5cb4e921e768ea7\\n-- problem_id: v2p_m9_f10f9688fd500c00\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"gender\\\",\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"experience\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"experience\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m9\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"gender\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"gender\": \"Male\", \"total_rows\": 13221, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"gender\": \"\", \"total_rows\": 4508, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"gender\": \"Female\", \"total_rows\": 1238, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"gender\": \"Other\", \"total_rows\": 191, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.23}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e5cb4e921e768ea7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e5cb4e921e768ea7/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..297d08075b5ffdff3f4dc79c979629fd8c264ec8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e5cb4e921e768ea7/run_manifest.json
@@ -0,0 +1,59 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.116955+00:00",
+  "ended_at": "2026-05-19T16:08:56.125986+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_e5cb4e921e768ea7",
+    "problem_id": "v2p_m9_f10f9688fd500c00",
+    "dataset_id": "m9",
+    "template_id": "tpl_missing_target_interaction",
+    "template_name": "Missingness-Target Interaction",
+    "family_id": "missingness_structure",
+    "canonical_subitem_id": "co_missingness_pattern_consistency",
+    "intended_facet_id": "missing_target_interaction",
+    "variant_semantic_role": "missing_target_interaction",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": false,
+    "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=gender, missing_col=experience.",
+    "bindings": {
+      "missing_col": "experience",
+      "target_col": "gender"
+    },
+    "binding_roles": [
+      "missing_col",
+      "target_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {target_col},\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;",
+    "notes": [
+      "default_facets=missing_rate_by_subgroup,missing_target_interaction",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e5cb4e921e768ea7.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e5cb4e921e768ea7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e5cb4e921e768ea7/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_e5cb4e921e768ea7/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f41dcfcfe45dbbb2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f41dcfcfe45dbbb2/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9fd79baef56856978ebfc4a5849097d1b5ba0c20
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f41dcfcfe45dbbb2/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=gender.
+Result preview: [{"gender": "Male", "row_count": 13221}, {"gender": "", "row_count": 4508}, {"gender": "Female", "row_count": 1238}, {"gender": "Other", "row_count": 191}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f41dcfcfe45dbbb2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f41dcfcfe45dbbb2/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..837199ef89a677b56adedaeebb2e0b5a4ea0409f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f41dcfcfe45dbbb2/generated_sql.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: subgroup_size_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_clickbench_group_count
+-- query_record_id: v2q_m9_f41dcfcfe45dbbb2
+-- problem_id: v2p_m9_badf8ca3b5d3a8c0
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "gender", COUNT(*) AS "row_count"
+FROM "m9"
+GROUP BY "gender"
+ORDER BY "row_count" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f41dcfcfe45dbbb2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f41dcfcfe45dbbb2/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..f2ee45d9db694b6b11b4081fb0e2f4230526fee3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f41dcfcfe45dbbb2/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_clickbench_group_count\nSELECT \"gender\", COUNT(*) AS \"row_count\"\nFROM \"m9\"\nGROUP BY \"gender\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"gender\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"gender\", \"row_count\"], \"rows\": [{\"gender\": \"Male\", \"row_count\": 13221}, {\"gender\": \"\", \"row_count\": 4508}, {\"gender\": \"Female\", \"row_count\": 1238}, {\"gender\": \"Other\", \"row_count\": 191}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.39}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f41dcfcfe45dbbb2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f41dcfcfe45dbbb2/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..fcf11643deae9bb052c13ce9691fba3749478353
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f41dcfcfe45dbbb2/run_manifest.json
@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:32:19.342668+00:00",
+  "ended_at": "2026-05-19T15:32:31.152391+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_f41dcfcfe45dbbb2",
+    "problem_id": "v2p_m9_badf8ca3b5d3a8c0",
+    "dataset_id": "m9",
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "subgroup_size_stability",
+    "intended_facet_id": "subgroup_distribution_shift",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=gender.",
+    "bindings": {
+      "group_col": "gender",
+      "top_k": 13,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=2",
+      "sql_variant_index=1/1",
+      "binding_index=13"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 2,
+    "problem_index_within_template": 2,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f41dcfcfe45dbbb2.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_f41dcfcfe45dbbb2",
+    "api_calls": 0,
+    "input_tokens": 14617,
+    "cached_input_tokens": 12032,
+    "output_tokens": 331,
+    "total_tokens": 14948,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 11799.33,
+    "sql_execution_elapsed_ms_total": 6.39,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f41dcfcfe45dbbb2/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f41dcfcfe45dbbb2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f41dcfcfe45dbbb2/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..675d7a96cdf19478f5853390ba545b90b14da88d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f41dcfcfe45dbbb2/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:32:31.144685+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11799.33, "started_at": "2026-05-19T15:32:19.344548+00:00", "ended_at": "2026-05-19T15:32:31.143908+00:00", "prompt_metrics": {"chars": 9186, "bytes_utf8": 9186, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 303, "bytes_utf8": 303, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14617, "cached_input_tokens": 12032, "output_tokens": 331, "reasoning_output_tokens": 251}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"gender\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m9\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the grouped count template with \\\"gender\\\" as the grouping column; counts all rows, including blank gender values if present.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f41dcfcfe45dbbb2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f41dcfcfe45dbbb2/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..e52465b43a8a88b62aa1002a004c0745e028b3ff
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f41dcfcfe45dbbb2/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_f41dcfcfe45dbbb2",
+  "api_calls": 0,
+  "input_tokens": 14617,
+  "cached_input_tokens": 12032,
+  "output_tokens": 331,
+  "total_tokens": 14948,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 11799.33,
+  "sql_execution_elapsed_ms_total": 6.39,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f41dcfcfe45dbbb2/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f52f18b17c4cc8cc/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f52f18b17c4cc8cc/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..043ed33aee81a16f155694b8afd1c6a56764191e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f52f18b17c4cc8cc/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "Has relevent experience", "support": 13792, "support_share": 0.7199081323728991, "cumulative_support": 13792}, {"value_label": "No relevent experience", "support": 5366, "support_share": 0.280091867627101, "cumulative_support": 19158}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f52f18b17c4cc8cc/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f52f18b17c4cc8cc/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..865a7c8eb57d73b1ef8085d3273c2163f1cabdc7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f52f18b17c4cc8cc/generated_sql.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_cardinality_distinct_share_profile
+-- query_record_id: v2q_m9_f52f18b17c4cc8cc
+-- problem_id: v2p_m9_d7a4c4e9f08a179d
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "relevent_experience" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "relevent_experience"
+), ranked AS (
+    SELECT
+        value_label,
+        support,
+        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
+    FROM grouped
+)
+SELECT *
+FROM ranked
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f52f18b17c4cc8cc/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f52f18b17c4cc8cc/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..1cc49f32e43c5b5f5c84dc9c62ba6db3f7e866ee
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f52f18b17c4cc8cc/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m9_f52f18b17c4cc8cc\n-- problem_id: v2p_m9_d7a4c4e9f08a179d\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"relevent_experience\" AS value_label, COUNT(*) AS support\n    FROM \"m9\"\n    GROUP BY \"relevent_experience\"\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m9_f52f18b17c4cc8cc\\n-- problem_id: v2p_m9_d7a4c4e9f08a179d\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"relevent_experience\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"m9\\\"\\n    GROUP BY \\\"relevent_experience\\\"\\n), ranked AS (\\n    SELECT\\n        value_label,\\n        support,\\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n    FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"Has relevent experience\", \"support\": 13792, \"support_share\": 0.7199081323728991, \"cumulative_support\": 13792}, {\"value_label\": \"No relevent experience\", \"support\": 5366, \"support_share\": 0.280091867627101, \"cumulative_support\": 19158}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.59}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f52f18b17c4cc8cc/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f52f18b17c4cc8cc/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..947c745cdf679762f2a4526b678508b4cc2ca7db
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f52f18b17c4cc8cc/run_manifest.json
@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.190727+00:00",
+  "ended_at": "2026-05-19T16:08:56.197058+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_f52f18b17c4cc8cc",
+    "problem_id": "v2p_m9_d7a4c4e9f08a179d",
+    "dataset_id": "m9",
+    "template_id": "tpl_cardinality_distinct_share_profile",
+    "template_name": "Cardinality Distinct Share Profile",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "support_rank_profile_consistency",
+    "intended_facet_id": "support_concentration",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=relevent_experience.",
+    "bindings": {
+      "group_col": "relevent_experience"
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;",
+    "notes": [
+      "default_facets=support_concentration,value_imbalance_profile",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=3",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 3,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f52f18b17c4cc8cc.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f52f18b17c4cc8cc/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f52f18b17c4cc8cc/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f52f18b17c4cc8cc/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f5f63b1e437747fd/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f5f63b1e437747fd/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8f42cb25ca7204a155a7532bcaadddea5480da0f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f5f63b1e437747fd/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=gender.
+Result preview: [{"gender": "Other", "support": 191}, {"gender": "Female", "support": 1238}, {"gender": "", "support": 4508}, {"gender": "Male", "support": 13221}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f5f63b1e437747fd/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f5f63b1e437747fd/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..50d78143dcca97d4e78ecf17272bfaf6cf546da5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f5f63b1e437747fd/generated_sql.sql
@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tail_low_support_group_count_v2
+-- query_record_id: v2q_m9_f5f63b1e437747fd
+-- problem_id: v2p_m9_466af191db835cec
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+    "gender",
+    COUNT(*) AS support
+FROM "m9"
+GROUP BY "gender"
+ORDER BY support ASC, "gender"
+LIMIT 11;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f5f63b1e437747fd/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f5f63b1e437747fd/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..37bb825f72d78ad055798d077ae75699f6ae7017
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f5f63b1e437747fd/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n    \"gender\",\n    COUNT(*) AS support\nFROM \"m9\"\nGROUP BY \"gender\"\nORDER BY support ASC, \"gender\"\nLIMIT 11;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"gender\\\",\\n    COUNT(*) AS support\\nFROM \\\"m9\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY support ASC, \\\"gender\\\"\\nLIMIT 11;\", \"columns\": [\"gender\", \"support\"], \"rows\": [{\"gender\": \"Other\", \"support\": 191}, {\"gender\": \"Female\", \"support\": 1238}, {\"gender\": \"\", \"support\": 4508}, {\"gender\": \"Male\", \"support\": 13221}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.65}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f5f63b1e437747fd/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f5f63b1e437747fd/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..0869b5444d69fbed0d63de8b70e9feb09d0ec1fd
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f5f63b1e437747fd/run_manifest.json
@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:04:22.412978+00:00",
+  "ended_at": "2026-05-19T16:04:30.543266+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_f5f63b1e437747fd",
+    "problem_id": "v2p_m9_466af191db835cec",
+    "dataset_id": "m9",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=gender.",
+    "bindings": {
+      "group_col": "gender",
+      "top_k": 11,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.92,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=2",
+      "sql_variant_index=1/2",
+      "binding_index=121"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 2,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f5f63b1e437747fd.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_f5f63b1e437747fd",
+    "api_calls": 0,
+    "input_tokens": 14652,
+    "cached_input_tokens": 12032,
+    "output_tokens": 246,
+    "total_tokens": 14898,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 8118.79,
+    "sql_execution_elapsed_ms_total": 6.65,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f5f63b1e437747fd/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f5f63b1e437747fd/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f5f63b1e437747fd/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..a3b6228970f0a5be0387b748a6a571d24de6b5be
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f5f63b1e437747fd/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:04:30.535213+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8118.79, "started_at": "2026-05-19T16:04:22.415615+00:00", "ended_at": "2026-05-19T16:04:30.534426+00:00", "prompt_metrics": {"chars": 9266, "bytes_utf8": 9266, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 360, "bytes_utf8": 360, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14652, "cached_input_tokens": 12032, "output_tokens": 246, "reasoning_output_tokens": 148}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"gender\\\",\\n    COUNT(*) AS support\\nFROM \\\"m9\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY support ASC, \\\"gender\\\"\\nLIMIT 11;\",\"notes\":\"Uses the provided Low-Support Group Count template with group_col bound to \\\"gender\\\" and top_k=11; includes blank gender values as their own group if present.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f5f63b1e437747fd/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f5f63b1e437747fd/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..4d308ab2bf8115ca0f7ede6c3d9581189430ffac
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f5f63b1e437747fd/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_f5f63b1e437747fd",
+  "api_calls": 0,
+  "input_tokens": 14652,
+  "cached_input_tokens": 12032,
+  "output_tokens": 246,
+  "total_tokens": 14898,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 8118.79,
+  "sql_execution_elapsed_ms_total": 6.65,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f5f63b1e437747fd/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f6ffdb2ef7205915/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f6ffdb2ef7205915/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..95384b3b6ffe858de8dc3931a52f0eaf6a8222b0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f6ffdb2ef7205915/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"company_size": "", "total_rows": 5938, "missing_rows": 0, "missing_rate": 0.0}, {"company_size": "50-99", "total_rows": 3083, "missing_rows": 0, "missing_rate": 0.0}, {"company_size": "100-500", "total_rows": 2571, "missing_rows": 0, "missing_rate": 0.0}, {"company_size": "10000+", "total_rows": 2019, "missing_rows": 0, "missing_rate": 0.0}, {"company_size": "10/49", "total_rows": 1471, "missing_rows": 0, "missing_rate": 0.0}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f6ffdb2ef7205915/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f6ffdb2ef7205915/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..3cbe833ef2c513cf7ae1b418870d6bf7a2af8b68
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f6ffdb2ef7205915/generated_sql.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_rate_by_subgroup
+-- variant_semantic_role: missing_rate_by_subgroup
+-- template_id: tpl_missing_rate_by_subgroup
+-- query_record_id: v2q_m9_f6ffdb2ef7205915
+-- problem_id: v2p_m9_5a7e13e69e0196c1
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "company_size",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "experience" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "experience" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "company_size"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f6ffdb2ef7205915/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f6ffdb2ef7205915/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b6a78f3ab58b7a41bb38e74e33f63e803b001c27
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f6ffdb2ef7205915/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_m9_f6ffdb2ef7205915\n-- problem_id: v2p_m9_5a7e13e69e0196c1\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"company_size\",\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"experience\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"experience\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m9\"\nGROUP BY \"company_size\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_m9_f6ffdb2ef7205915\\n-- problem_id: v2p_m9_5a7e13e69e0196c1\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"company_size\\\",\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"experience\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"experience\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m9\\\"\\nGROUP BY \\\"company_size\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"company_size\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"company_size\": \"\", \"total_rows\": 5938, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"company_size\": \"50-99\", \"total_rows\": 3083, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"company_size\": \"100-500\", \"total_rows\": 2571, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"company_size\": \"10000+\", \"total_rows\": 2019, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"company_size\": \"10/49\", \"total_rows\": 1471, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"company_size\": \"1000-4999\", \"total_rows\": 1328, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"company_size\": \"<10\", \"total_rows\": 1308, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"company_size\": \"500-999\", \"total_rows\": 877, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"company_size\": \"5000-9999\", \"total_rows\": 563, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 9, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.02}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f6ffdb2ef7205915/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f6ffdb2ef7205915/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..d8cb0b0cb74cc23b6394cf19954ca9e20c78c1db
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f6ffdb2ef7205915/run_manifest.json
@@ -0,0 +1,59 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.006524+00:00",
+  "ended_at": "2026-05-19T16:08:56.016252+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_f6ffdb2ef7205915",
+    "problem_id": "v2p_m9_5a7e13e69e0196c1",
+    "dataset_id": "m9",
+    "template_id": "tpl_missing_rate_by_subgroup",
+    "template_name": "Missing Rate by Subgroup",
+    "family_id": "missingness_structure",
+    "canonical_subitem_id": "co_missingness_pattern_consistency",
+    "intended_facet_id": "missing_rate_by_subgroup",
+    "variant_semantic_role": "missing_rate_by_subgroup",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": false,
+    "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=company_size, missing_col=experience.",
+    "bindings": {
+      "missing_col": "experience",
+      "group_col": "company_size"
+    },
+    "binding_roles": [
+      "missing_col",
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;",
+    "notes": [
+      "default_facets=missing_rate_by_subgroup,missing_target_interaction",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=8",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f6ffdb2ef7205915.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f6ffdb2ef7205915/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f6ffdb2ef7205915/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f6ffdb2ef7205915/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f78aaa1f5f51d498/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f78aaa1f5f51d498/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..720d8737f15fb80eafe1ce7c89251dbe91455314
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f78aaa1f5f51d498/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=company_type, measure_col=training_hours.
+Result preview: [{"company_type": "NGO", "percentile_measure": 206.0}, {"company_type": "Early Stage Startup", "percentile_measure": 197.8}, {"company_type": "Funded Startup", "percentile_measure": 192.0}, {"company_type": "Pvt Ltd", "percentile_measure": 192.0}, {"company_type": "Other", "percentile_measure": 174.0}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f78aaa1f5f51d498/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f78aaa1f5f51d498/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..ab329b4f57125162d11c6045254f816a2fda9bcb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f78aaa1f5f51d498/generated_sql.sql
@@ -0,0 +1,73 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_m9_f78aaa1f5f51d498
+-- problem_id: v2p_m9_a674330b26ae662f
+-- realization_mode: agent
+-- source_kind: agent
+WITH "base" AS (
+  SELECT
+    "company_type",
+    CAST("training_hours" AS REAL) AS "training_hours_num"
+  FROM "m9"
+  WHERE "company_type" IS NOT NULL
+    AND "company_type" <> ''
+    AND "training_hours" IS NOT NULL
+    AND "training_hours" <> ''
+),
+"ranked" AS (
+  SELECT
+    "company_type",
+    "training_hours_num",
+    ROW_NUMBER() OVER (
+      PARTITION BY "company_type"
+      ORDER BY "training_hours_num"
+    ) AS "rn",
+    COUNT(*) OVER (
+      PARTITION BY "company_type"
+    ) AS "cnt"
+  FROM "base"
+),
+"positioned" AS (
+  SELECT
+    "company_type",
+    "training_hours_num",
+    "rn",
+    "cnt",
+    CAST((95 * "cnt" + 5) / 100 AS INTEGER) AS "lower_idx",
+    CAST((95 * "cnt" + 5) / 100 AS INTEGER) + CASE WHEN ((95 * "cnt" + 5) % 100) > 0 THEN 1 ELSE 0 END AS "upper_idx",
+    ((95 * "cnt" + 5) % 100) AS "frac_num"
+  FROM "ranked"
+),
+"interpolated" AS (
+  SELECT
+    "company_type",
+    "cnt",
+    "lower_idx",
+    "upper_idx",
+    "frac_num",
+    MAX(CASE WHEN "rn" = "lower_idx" THEN "training_hours_num" END) AS "lower_val",
+    MAX(CASE WHEN "rn" = "upper_idx" THEN "training_hours_num" END) AS "upper_val"
+  FROM "positioned"
+  GROUP BY
+    "company_type",
+    "cnt",
+    "lower_idx",
+    "upper_idx",
+    "frac_num"
+)
+SELECT
+  "company_type",
+  CASE
+    WHEN "frac_num" = 0 THEN "lower_val"
+    ELSE "lower_val" + ("frac_num" / 100.0) * ("upper_val" - "lower_val")
+  END AS "percentile_measure"
+FROM "interpolated"
+WHERE "cnt" >= 5
+ORDER BY "percentile_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f78aaa1f5f51d498/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f78aaa1f5f51d498/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..7da1e28c013476821b36f0458e131b0ab247aee9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f78aaa1f5f51d498/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n  SELECT\n    \"company_type\",\n    CAST(\"training_hours\" AS REAL) AS \"training_hours_num\"\n  FROM \"m9\"\n  WHERE \"company_type\" IS NOT NULL\n    AND \"company_type\" <> ''\n    AND \"training_hours\" IS NOT NULL\n    AND \"training_hours\" <> ''\n),\n\"ranked\" AS (\n  SELECT\n    \"company_type\",\n    \"training_hours_num\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"company_type\"\n      ORDER BY \"training_hours_num\"\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY \"company_type\"\n    ) AS \"cnt\"\n  FROM \"base\"\n),\n\"positioned\" AS (\n  SELECT\n    \"company_type\",\n    \"training_hours_num\",\n    \"rn\",\n    \"cnt\",\n    CAST((95 * \"cnt\" + 5) / 100 AS INTEGER) AS \"lower_idx\",\n    CAST((95 * \"cnt\" + 5) / 100 AS INTEGER) + CASE WHEN ((95 * \"cnt\" + 5) % 100) > 0 THEN 1 ELSE 0 END AS \"upper_idx\",\n    ((95 * \"cnt\" + 5) % 100) AS \"frac_num\"\n  FROM \"ranked\"\n),\n\"interpolated\" AS (\n  SELECT\n    \"company_type\",\n    \"cnt\",\n    \"lower_idx\",\n    \"upper_idx\",\n    \"frac_num\",\n    MAX(CASE WHEN \"rn\" = \"lower_idx\" THEN \"training_hours_num\" END) AS \"lower_val\",\n    MAX(CASE WHEN \"rn\" = \"upper_idx\" THEN \"training_hours_num\" END) AS \"upper_val\"\n  FROM \"positioned\"\n  GROUP BY\n    \"company_type\",\n    \"cnt\",\n    \"lower_idx\",\n    \"upper_idx\",\n    \"frac_num\"\n)\nSELECT\n  \"company_type\",\n  CASE\n    WHEN \"frac_num\" = 0 THEN \"lower_val\"\n    ELSE \"lower_val\" + (\"frac_num\" / 100.0) * (\"upper_val\" - \"lower_val\")\n  END AS \"percentile_measure\"\nFROM \"interpolated\"\nWHERE \"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    \\\"company_type\\\",\\n    CAST(\\\"training_hours\\\" AS REAL) AS \\\"training_hours_num\\\"\\n  FROM \\\"m9\\\"\\n  WHERE \\\"company_type\\\" IS NOT NULL\\n    AND \\\"company_type\\\" <> ''\\n    AND \\\"training_hours\\\" IS NOT NULL\\n    AND \\\"training_hours\\\" <> ''\\n),\\n\\\"ranked\\\" AS (\\n  SELECT\\n    \\\"company_type\\\",\\n    \\\"training_hours_num\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"company_type\\\"\\n      ORDER BY \\\"training_hours_num\\\"\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"company_type\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"base\\\"\\n),\\n\\\"positioned\\\" AS (\\n  SELECT\\n    \\\"company_type\\\",\\n    \\\"training_hours_num\\\",\\n    \\\"rn\\\",\\n    \\\"cnt\\\",\\n    CAST((95 * \\\"cnt\\\" + 5) / 100 AS INTEGER) AS \\\"lower_idx\\\",\\n    CAST((95 * \\\"cnt\\\" + 5) / 100 AS INTEGER) + CASE WHEN ((95 * \\\"cnt\\\" + 5) % 100) > 0 THEN 1 ELSE 0 END AS \\\"upper_idx\\\",\\n    ((95 * \\\"cnt\\\" + 5) % 100) AS \\\"frac_num\\\"\\n  FROM \\\"ranked\\\"\\n),\\n\\\"interpolated\\\" AS (\\n  SELECT\\n    \\\"company_type\\\",\\n    \\\"cnt\\\",\\n    \\\"lower_idx\\\",\\n    \\\"upper_idx\\\",\\n    \\\"frac_num\\\",\\n    MAX(CASE WHEN \\\"rn\\\" = \\\"lower_idx\\\" THEN \\\"training_hours_num\\\" END) AS \\\"lower_val\\\",\\n    MAX(CASE WHEN \\\"rn\\\" = \\\"upper_idx\\\" THEN \\\"training_hours_num\\\" END) AS \\\"upper_val\\\"\\n  FROM \\\"positioned\\\"\\n  GROUP BY\\n    \\\"company_type\\\",\\n    \\\"cnt\\\",\\n    \\\"lower_idx\\\",\\n    \\\"upper_idx\\\",\\n    \\\"frac_num\\\"\\n)\\nSELECT\\n  \\\"company_type\\\",\\n  CASE\\n    WHEN \\\"frac_num\\\" = 0 THEN \\\"lower_val\\\"\\n    ELSE \\\"lower_val\\\" + (\\\"frac_num\\\" / 100.0) * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"interpolated\\\"\\nWHERE \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"company_type\", \"percentile_measure\"], \"rows\": [{\"company_type\": \"NGO\", \"percentile_measure\": 206.0}, {\"company_type\": \"Early Stage Startup\", \"percentile_measure\": 197.8}, {\"company_type\": \"Funded Startup\", \"percentile_measure\": 192.0}, {\"company_type\": \"Pvt Ltd\", \"percentile_measure\": 192.0}, {\"company_type\": \"Other\", \"percentile_measure\": 174.0}, {\"company_type\": \"Public Sector\", \"percentile_measure\": 168.0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 73.83}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f78aaa1f5f51d498/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f78aaa1f5f51d498/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..1cc42615283f20e21c9379abe1d3bba6c1522cde
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f78aaa1f5f51d498/run_manifest.json
@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:57:35.520184+00:00",
+  "ended_at": "2026-05-19T15:58:34.341088+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_f78aaa1f5f51d498",
+    "problem_id": "v2p_m9_a674330b26ae662f",
+    "dataset_id": "m9",
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_concentration_consistency",
+    "intended_facet_id": "rare_target_concentration",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=company_type, measure_col=training_hours.",
+    "bindings": {
+      "group_col": "company_type",
+      "measure_col": "training_hours",
+      "top_k": 12,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 88.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "notes": [
+      "default_facets=rare_target_concentration",
+      "template_selection_mode=rule",
+      "problem_index_within_template=9",
+      "sql_variant_index=1/2",
+      "binding_index=92"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 9,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f78aaa1f5f51d498.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_f78aaa1f5f51d498",
+    "api_calls": 0,
+    "input_tokens": 14684,
+    "cached_input_tokens": 13696,
+    "output_tokens": 3923,
+    "total_tokens": 18607,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 58741.04,
+    "sql_execution_elapsed_ms_total": 73.83,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f78aaa1f5f51d498/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f78aaa1f5f51d498/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f78aaa1f5f51d498/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..9d7f7f5369180eac1d94e2bc8988a345404d48af
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f78aaa1f5f51d498/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:58:34.265218+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 58741.04, "started_at": "2026-05-19T15:57:35.522399+00:00", "ended_at": "2026-05-19T15:58:34.263477+00:00", "prompt_metrics": {"chars": 9480, "bytes_utf8": 9480, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 2003, "bytes_utf8": 2003, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14684, "cached_input_tokens": 13696, "output_tokens": 3923, "reasoning_output_tokens": 3311}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    \\\"company_type\\\",\\n    CAST(\\\"training_hours\\\" AS REAL) AS \\\"training_hours_num\\\"\\n  FROM \\\"m9\\\"\\n  WHERE \\\"company_type\\\" IS NOT NULL\\n    AND \\\"company_type\\\" <> ''\\n    AND \\\"training_hours\\\" IS NOT NULL\\n    AND \\\"training_hours\\\" <> ''\\n),\\n\\\"ranked\\\" AS (\\n  SELECT\\n    \\\"company_type\\\",\\n    \\\"training_hours_num\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"company_type\\\"\\n      ORDER BY \\\"training_hours_num\\\"\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"company_type\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"base\\\"\\n),\\n\\\"positioned\\\" AS (\\n  SELECT\\n    \\\"company_type\\\",\\n    \\\"training_hours_num\\\",\\n    \\\"rn\\\",\\n    \\\"cnt\\\",\\n    CAST((95 * \\\"cnt\\\" + 5) / 100 AS INTEGER) AS \\\"lower_idx\\\",\\n    CAST((95 * \\\"cnt\\\" + 5) / 100 AS INTEGER) + CASE WHEN ((95 * \\\"cnt\\\" + 5) % 100) > 0 THEN 1 ELSE 0 END AS \\\"upper_idx\\\",\\n    ((95 * \\\"cnt\\\" + 5) % 100) AS \\\"frac_num\\\"\\n  FROM \\\"ranked\\\"\\n),\\"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f78aaa1f5f51d498/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f78aaa1f5f51d498/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..d8ef00c77e733c65bd6b960ac01691b06d8a749e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f78aaa1f5f51d498/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_f78aaa1f5f51d498",
+  "api_calls": 0,
+  "input_tokens": 14684,
+  "cached_input_tokens": 13696,
+  "output_tokens": 3923,
+  "total_tokens": 18607,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 58741.04,
+  "sql_execution_elapsed_ms_total": 73.83,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f78aaa1f5f51d498/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f7eb7b64880fb985/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f7eb7b64880fb985/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..05303ab87632b14db3b0125998eb48b388b19cb7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f7eb7b64880fb985/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=relevent_experience, measure_col=training_hours.
+Result preview: [{"relevent_experience": "Has relevent experience", "city_development_index": "0.92", "total_measure": 261008.0, "share_within_group": 28.760705045420686}, {"relevent_experience": "No relevent experience", "city_development_index": "0.92", "total_measure": 82511.0, "share_within_group": 23.931284315061937}, {"relevent_experience": "No relevent experience", "city_development_index": "0.624", "total_measure": 54166.0, "share_within_group": 15.710171325152341}, {"relevent_experience": "Has relevent experience", "city_development_index": "0.624", "total_measure": 123456.0, "share_within_group": 13.603727096822535}, {"relevent_experience": "Has relevent experience", "city_development_index": "0.91", "total_measure": 78947.0, "share_within_group": 8.699240564353687}] Results were truncated.
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f7eb7b64880fb985/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f7eb7b64880fb985/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..84b565cacd403b25ea17f4222f159af310e065bb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f7eb7b64880fb985/generated_sql.sql
@@ -0,0 +1,27 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_f7eb7b64880fb985
+-- problem_id: v2p_m9_17a94695de83b6a9
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "relevent_experience",
+  "city_development_index",
+  SUM(CAST("training_hours" AS REAL)) AS "total_measure",
+  SUM(CAST("training_hours" AS REAL)) * 100.0 / SUM(SUM(CAST("training_hours" AS REAL))) OVER (PARTITION BY "relevent_experience") AS "share_within_group"
+FROM "m9"
+WHERE "relevent_experience" IS NOT NULL
+  AND "relevent_experience" <> ''
+  AND "city_development_index" IS NOT NULL
+  AND "city_development_index" <> ''
+  AND "training_hours" IS NOT NULL
+  AND "training_hours" <> ''
+GROUP BY "relevent_experience", "city_development_index"
+ORDER BY "share_within_group" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f7eb7b64880fb985/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f7eb7b64880fb985/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..2b511ad18abe566ee34a1e37f67860c11befdd63
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f7eb7b64880fb985/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"relevent_experience\",\n  \"city_development_index\",\n  SUM(CAST(\"training_hours\" AS REAL)) AS \"total_measure\",\n  SUM(CAST(\"training_hours\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"training_hours\" AS REAL))) OVER (PARTITION BY \"relevent_experience\") AS \"share_within_group\"\nFROM \"m9\"\nWHERE \"relevent_experience\" IS NOT NULL\n  AND \"relevent_experience\" <> ''\n  AND \"city_development_index\" IS NOT NULL\n  AND \"city_development_index\" <> ''\n  AND \"training_hours\" IS NOT NULL\n  AND \"training_hours\" <> ''\nGROUP BY \"relevent_experience\", \"city_development_index\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"relevent_experience\\\",\\n  \\\"city_development_index\\\",\\n  SUM(CAST(\\\"training_hours\\\" AS REAL)) AS \\\"total_measure\\\",\\n  SUM(CAST(\\\"training_hours\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"training_hours\\\" AS REAL))) OVER (PARTITION BY \\\"relevent_experience\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m9\\\"\\nWHERE \\\"relevent_experience\\\" IS NOT NULL\\n  AND \\\"relevent_experience\\\" <> ''\\n  AND \\\"city_development_index\\\" IS NOT NULL\\n  AND \\\"city_development_index\\\" <> ''\\n  AND \\\"training_hours\\\" IS NOT NULL\\n  AND \\\"training_hours\\\" <> ''\\nGROUP BY \\\"relevent_experience\\\", \\\"city_development_index\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"relevent_experience\", \"city_development_index\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.92\", \"total_measure\": 261008.0, \"share_within_group\": 28.760705045420686}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.92\", \"total_measure\": 82511.0, \"share_within_group\": 23.931284315061937}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.624\", \"total_measure\": 54166.0, \"share_within_group\": 15.710171325152341}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.624\", \"total_measure\": 123456.0, \"share_within_group\": 13.603727096822535}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.91\", \"total_measure\": 78947.0, \"share_within_group\": 8.699240564353687}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.9259999999999999\", \"total_measure\": 25249.0, \"share_within_group\": 7.323156884185125}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.91\", \"total_measure\": 23096.0, \"share_within_group\": 6.698706142704252}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.9259999999999999\", \"total_measure\": 56512.0, \"share_within_group\": 6.22710784162483}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.698\", \"total_measure\": 17580.0, \"share_within_group\": 5.098859282505228}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.897\", \"total_measure\": 27205.0, \"share_within_group\": 2.9977432904764214}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.897\", \"total_measure\": 10091.0, \"share_within_group\": 2.9267684311581488}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.9390000000000001\", \"total_measure\": 24067.0, \"share_within_group\": 2.6519642628890288}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.698\", \"total_measure\": 23799.0, \"share_within_group\": 2.622433103107824}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.855\", \"total_measure\": 21811.0, \"share_within_group\": 2.4033736044323186}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.9390000000000001\", \"total_measure\": 8112.0, \"share_within_group\": 2.3527842149989993}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.855\", \"total_measure\": 6851.0, \"share_within_group\": 1.987046925167424}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.804\", \"total_measure\": 6059.0, \"share_within_group\": 1.7573372237030247}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.804\", \"total_measure\": 15123.0, \"share_within_group\": 1.6664169006386664}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.887\", \"total_measure\": 5681.0, \"share_within_group\": 1.6477030480041068}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.924\", \"total_measure\": 5636.0, \"share_within_group\": 1.6346513604209025}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.884\", \"total_measure\": 14528.0, \"share_within_group\": 1.600853318288603}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.924\", \"total_measure\": 13992.0, \"share_within_group\": 1.5417909987261933}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.754\", \"total_measure\": 13372.0, \"share_within_group\": 1.4734726440084802}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.887\", \"total_measure\": 12514.0, \"share_within_group\": 1.378928856350742}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.55\", \"total_measure\": 12058.0, \"share_within_group\": 1.328681808364811}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.754\", \"total_measure\": 4493.0, \"share_within_group\": 1.3031384958075078}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.55\", \"total_measure\": 3903.0, \"share_within_group\": 1.1320163697166044}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.682\", \"total_measure\": 3814.0, \"share_within_group\": 1.1062030320520444}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.884\", \"total_measure\": 3756.0, \"share_within_group\": 1.089380856944803}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.579\", \"total_measure\": 3650.0, \"share_within_group\": 1.05863688174881}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.925\", \"total_measure\": 3642.0, \"share_within_group\": 1.056316581734018}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.925\", \"total_measure\": 9186.0, \"share_within_group\": 1.0122135587692118}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.9129999999999999\", \"total_measure\": 9022.0, \"share_within_group\": 0.9941422520374297}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.899\", \"total_measure\": 8989.0, \"share_within_group\": 0.990505952512132}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.802\", \"total_measure\": 8869.0, \"share_within_group\": 0.9772830451474134}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.9229999999999999\", \"total_measure\": 8376.0, \"share_within_group\": 0.922958934057361}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.802\", \"total_measure\": 2916.0, \"share_within_group\": 0.8457493553916522}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.743\", \"total_measure\": 7546.0, \"share_within_group\": 0.8315004914513904}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.5579999999999999\", \"total_measure\": 2850.0, \"share_within_group\": 0.8266068802696188}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.893\", \"total_measure\": 7479.0, \"share_within_group\": 0.8241177015060891}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.878\", \"total_measure\": 2823.0, \"share_within_group\": 0.8187758677196961}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.9129999999999999\", \"total_measure\": 2809.0, \"share_within_group\": 0.8147153426938103}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.8959999999999999\", \"total_measure\": 2792.0, \"share_within_group\": 0.8097847051623775}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.8959999999999999\", \"total_measure\": 7342.0, \"share_within_group\": 0.8090215489313687}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.6659999999999999\", \"total_measure\": 7173.0, \"share_within_group\": 0.7903992877260566}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.527\", \"total_measure\": 2528.0, \"share_within_group\": 0.7332148046742444}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.8270000000000001\", \"total_measure\": 6538.0, \"share_within_group\": 0.7204280695877538}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.9229999999999999\", \"total_measure\": 2469.0, \"share_within_group\": 0.716102592065154}, {\"relevent_experience\": \"Has relevent experience\", \"city_development_index\": \"0.878\", \"total_measure\": 6380.0, \"share_within_group\": 0.7030179082242076}, {\"relevent_experience\": \"No relevent experience\", \"city_development_index\": \"0.893\", \"total_measure\": 2408.0, \"share_within_group\": 0.6984103044523657}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 45.56}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f7eb7b64880fb985/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f7eb7b64880fb985/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..fff69cdbb9cb4822b6d4b6f10e069b2aa3e1e562
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f7eb7b64880fb985/run_manifest.json
@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:35:27.453307+00:00",
+  "ended_at": "2026-05-19T15:35:41.738570+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_f7eb7b64880fb985",
+    "problem_id": "v2p_m9_17a94695de83b6a9",
+    "dataset_id": "m9",
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=relevent_experience, measure_col=training_hours.",
+    "bindings": {
+      "group_col": "relevent_experience",
+      "measure_col": "training_hours",
+      "item_col": "city_development_index",
+      "top_k": 16,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 70.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=2/2",
+      "binding_index=26"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 3,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f7eb7b64880fb985.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_f7eb7b64880fb985",
+    "api_calls": 0,
+    "input_tokens": 14771,
+    "cached_input_tokens": 12032,
+    "output_tokens": 777,
+    "total_tokens": 15548,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 14232.09,
+    "sql_execution_elapsed_ms_total": 45.56,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f7eb7b64880fb985/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f7eb7b64880fb985/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f7eb7b64880fb985/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..65c6adb88549284ccaececfce65931bfcfdc052d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f7eb7b64880fb985/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:35:41.689838+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14232.09, "started_at": "2026-05-19T15:35:27.456089+00:00", "ended_at": "2026-05-19T15:35:41.688220+00:00", "prompt_metrics": {"chars": 9736, "bytes_utf8": 9736, "lines": 266, "estimated_tokens": null}, "response_metrics": {"chars": 940, "bytes_utf8": 940, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14771, "cached_input_tokens": 12032, "output_tokens": 777, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"relevent_experience\\\",\\n  \\\"city_development_index\\\",\\n  SUM(CAST(\\\"training_hours\\\" AS REAL)) AS \\\"total_measure\\\",\\n  SUM(CAST(\\\"training_hours\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"training_hours\\\" AS REAL))) OVER (PARTITION BY \\\"relevent_experience\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m9\\\"\\nWHERE \\\"relevent_experience\\\" IS NOT NULL\\n  AND \\\"relevent_experience\\\" <> ''\\n  AND \\\"city_development_index\\\" IS NOT NULL\\n  AND \\\"city_development_index\\\" <> ''\\n  AND \\\"training_hours\\\" IS NOT NULL\\n  AND \\\"training_hours\\\" <> ''\\nGROUP BY \\\"relevent_experience\\\", \\\"city_development_index\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Uses the planned template with group_col=\\\"relevent_experience\\\", item_col=\\\"city_development_index\\\", and measure_col=\\\"training_hours\\\". CAST to REAL is applied because \\\"training_hours\\\" is stored as TEXT in the schema snapshot.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f7eb7b64880fb985/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f7eb7b64880fb985/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..f00e8eca56388023afe75a5d22568512f941c097
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f7eb7b64880fb985/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_f7eb7b64880fb985",
+  "api_calls": 0,
+  "input_tokens": 14771,
+  "cached_input_tokens": 12032,
+  "output_tokens": 777,
+  "total_tokens": 15548,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 14232.09,
+  "sql_execution_elapsed_ms_total": 45.56,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_f7eb7b64880fb985/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fa2616e910ab28ff/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fa2616e910ab28ff/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..3adf842c2dc92fdf9a088ed4f318f1596497147c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fa2616e910ab28ff/run_manifest.json
@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:04:15.317600+00:00",
+  "ended_at": "2026-05-19T16:04:22.412533+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_fa2616e910ab28ff",
+    "problem_id": "v2p_m9_1eb89f3bc7560ead",
+    "dataset_id": "m9",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=city_development_index.",
+    "bindings": {
+      "group_col": "city_development_index",
+      "top_k": 15,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 25169.75,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=1",
+      "sql_variant_index=2/2",
+      "binding_index=120"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fa2616e910ab28ff/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fa2616e910ab28ff/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..565450ddab4badcbc550da74bb45dcfd3ccbf0c0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fa2616e910ab28ff/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:04:18.344287+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3024.01, "started_at": "2026-05-19T16:04:15.319476+00:00", "ended_at": "2026-05-19T16:04:18.343513+00:00", "prompt_metrics": {"chars": 9304, "bytes_utf8": 9304, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-0e65-7732-9450-fa6a7e6bfa08\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:04:22.412425+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3065.6, "started_at": "2026-05-19T16:04:19.345915+00:00", "ended_at": "2026-05-19T16:04:22.411559+00:00", "prompt_metrics": {"chars": 9304, "bytes_utf8": 9304, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-1e12-7050-8abd-25170a4decf2\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fb014c25cfedca8c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fb014c25cfedca8c/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a341bb9dafb377db9ee52701beb2597d5223c2d4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fb014c25cfedca8c/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"company_type": "Pvt Ltd", "total_rows": 9817, "missing_rows": 0, "missing_rate": 0.0}, {"company_type": "", "total_rows": 6140, "missing_rows": 0, "missing_rate": 0.0}, {"company_type": "Funded Startup", "total_rows": 1001, "missing_rows": 0, "missing_rate": 0.0}, {"company_type": "Public Sector", "total_rows": 955, "missing_rows": 0, "missing_rate": 0.0}, {"company_type": "Early Stage Startup", "total_rows": 603, "missing_rows": 0, "missing_rate": 0.0}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fb014c25cfedca8c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fb014c25cfedca8c/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..455e6e00e96f66490948836364eb7736a17c5f87
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fb014c25cfedca8c/generated_sql.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m9_fb014c25cfedca8c
+-- problem_id: v2p_m9_b804212207282a72
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "company_type",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "education_level" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "education_level" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "company_type"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fb014c25cfedca8c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fb014c25cfedca8c/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..89a5c3e72f6fb8d9404552f79e975c9512a3c3a4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fb014c25cfedca8c/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_m9_fb014c25cfedca8c\n-- problem_id: v2p_m9_b804212207282a72\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"company_type\",\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"education_level\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"education_level\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m9\"\nGROUP BY \"company_type\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_m9_fb014c25cfedca8c\\n-- problem_id: v2p_m9_b804212207282a72\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"company_type\\\",\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"education_level\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"education_level\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m9\\\"\\nGROUP BY \\\"company_type\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"company_type\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"company_type\": \"Pvt Ltd\", \"total_rows\": 9817, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"company_type\": \"\", \"total_rows\": 6140, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"company_type\": \"Funded Startup\", \"total_rows\": 1001, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"company_type\": \"Public Sector\", \"total_rows\": 955, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"company_type\": \"Early Stage Startup\", \"total_rows\": 603, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"company_type\": \"NGO\", \"total_rows\": 521, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"company_type\": \"Other\", \"total_rows\": 121, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.49}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fb014c25cfedca8c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fb014c25cfedca8c/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..95cab2230485b662c6cf35319ead46a90690d6ee
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fb014c25cfedca8c/run_manifest.json
@@ -0,0 +1,59 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.098156+00:00",
+  "ended_at": "2026-05-19T16:08:56.107401+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_fb014c25cfedca8c",
+    "problem_id": "v2p_m9_b804212207282a72",
+    "dataset_id": "m9",
+    "template_id": "tpl_missing_target_interaction",
+    "template_name": "Missingness-Target Interaction",
+    "family_id": "missingness_structure",
+    "canonical_subitem_id": "co_missingness_pattern_consistency",
+    "intended_facet_id": "missing_target_interaction",
+    "variant_semantic_role": "missing_target_interaction",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": false,
+    "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=company_type, missing_col=education_level.",
+    "bindings": {
+      "missing_col": "education_level",
+      "target_col": "company_type"
+    },
+    "binding_roles": [
+      "missing_col",
+      "target_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {target_col},\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;",
+    "notes": [
+      "default_facets=missing_rate_by_subgroup,missing_target_interaction",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=5",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_fb014c25cfedca8c.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fb014c25cfedca8c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fb014c25cfedca8c/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fb014c25cfedca8c/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fcedd4a7dad4f5a9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fcedd4a7dad4f5a9/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cb49f2046310bd9de2b8d848358dda4b9be801a5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fcedd4a7dad4f5a9/final_answer.txt
@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"city": "city_103", "support": 4355, "avg_response": 65.89804822043628}, {"city": "city_21", "support": 2702, "avg_response": 65.73723168023686}, {"city": "city_16", "support": 1533, "avg_response": 66.56425309849968}, {"city": "city_114", "support": 1336, "avg_response": 61.19835329341317}, {"city": "city_160", "support": 845, "avg_response": 66.90295857988166}]}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fcedd4a7dad4f5a9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fcedd4a7dad4f5a9/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..9eb7ec3b41d2cc4ec21b5e305f0aa690c4c95720
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fcedd4a7dad4f5a9/generated_sql.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: high_cardinality_response_stability
+-- intended_facet_id: target_cardinality_cross_section
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_cardinality_high_card_response_stability
+-- query_record_id: v2q_m9_fcedd4a7dad4f5a9
+-- problem_id: v2p_m9_35e860b115500b6f
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "city",
+    COUNT(*) AS support,
+    AVG("training_hours") AS avg_response
+FROM "m9"
+GROUP BY "city"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fcedd4a7dad4f5a9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fcedd4a7dad4f5a9/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..61457546055aabd636a3a1b13d1fe98103a64a80
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fcedd4a7dad4f5a9/query_results.jsonl
@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: m9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m9_fcedd4a7dad4f5a9\n-- problem_id: v2p_m9_35e860b115500b6f\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"city\",\n    COUNT(*) AS support,\n    AVG(\"training_hours\") AS avg_response\nFROM \"m9\"\nGROUP BY \"city\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m9_fcedd4a7dad4f5a9\\n-- problem_id: v2p_m9_35e860b115500b6f\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"city\\\",\\n    COUNT(*) AS support,\\n    AVG(\\\"training_hours\\\") AS avg_response\\nFROM \\\"m9\\\"\\nGROUP BY \\\"city\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"city\", \"support\", \"avg_response\"], \"rows\": [{\"city\": \"city_103\", \"support\": 4355, \"avg_response\": 65.89804822043628}, {\"city\": \"city_21\", \"support\": 2702, \"avg_response\": 65.73723168023686}, {\"city\": \"city_16\", \"support\": 1533, \"avg_response\": 66.56425309849968}, {\"city\": \"city_114\", \"support\": 1336, \"avg_response\": 61.19835329341317}, {\"city\": \"city_160\", \"support\": 845, \"avg_response\": 66.90295857988166}, {\"city\": \"city_136\", \"support\": 586, \"avg_response\": 63.64505119453925}, {\"city\": \"city_67\", \"support\": 431, \"avg_response\": 66.50116009280742}, {\"city\": \"city_75\", \"support\": 305, \"avg_response\": 65.97049180327869}, {\"city\": \"city_102\", \"support\": 304, \"avg_response\": 69.67763157894737}, {\"city\": \"city_104\", \"support\": 301, \"avg_response\": 65.20930232558139}, {\"city\": \"city_73\", \"support\": 280, \"avg_response\": 63.80357142857143}, {\"city\": \"city_100\", \"support\": 275, \"avg_response\": 66.16363636363636}, {\"city\": \"city_71\", \"support\": 266, \"avg_response\": 68.73684210526316}, {\"city\": \"city_11\", \"support\": 247, \"avg_response\": 64.61943319838056}, {\"city\": \"city_90\", \"support\": 197, \"avg_response\": 68.3502538071066}, {\"city\": \"city_61\", \"support\": 197, \"avg_response\": 60.055837563451774}, {\"city\": \"city_28\", \"support\": 192, \"avg_response\": 62.802083333333336}, {\"city\": \"city_23\", \"support\": 182, \"avg_response\": 60.42857142857143}, {\"city\": \"city_65\", \"support\": 175, \"avg_response\": 67.34285714285714}, {\"city\": \"city_36\", \"support\": 160, \"avg_response\": 61.79375}, {\"city\": \"city_173\", \"support\": 151, \"avg_response\": 60.94701986754967}, {\"city\": \"city_83\", \"support\": 143, \"avg_response\": 75.83916083916084}, {\"city\": \"city_50\", \"support\": 140, \"avg_response\": 72.38571428571429}, {\"city\": \"city_116\", \"support\": 128, \"avg_response\": 61.8671875}, {\"city\": \"city_46\", \"support\": 128, \"avg_response\": 58.828125}, {\"city\": \"city_162\", \"support\": 128, \"avg_response\": 57.3828125}, {\"city\": \"city_138\", \"support\": 120, \"avg_response\": 56.24166666666667}, {\"city\": \"city_19\", \"support\": 119, \"avg_response\": 70.56302521008404}, {\"city\": \"city_64\", \"support\": 114, \"avg_response\": 73.05263157894737}, {\"city\": \"city_45\", \"support\": 113, \"avg_response\": 58.63716814159292}, {\"city\": \"city_97\", \"support\": 104, \"avg_response\": 72.1826923076923}, {\"city\": \"city_74\", \"support\": 104, \"avg_response\": 65.23076923076923}, {\"city\": \"city_57\", \"support\": 103, \"avg_response\": 70.0}, {\"city\": \"city_149\", \"support\": 102, \"avg_response\": 65.75490196078431}, {\"city\": \"city_159\", \"support\": 94, \"avg_response\": 67.88297872340425}, {\"city\": \"city_99\", \"support\": 94, \"avg_response\": 61.734042553191486}, {\"city\": \"city_128\", \"support\": 92, \"avg_response\": 68.82608695652173}, {\"city\": \"city_41\", \"support\": 89, \"avg_response\": 66.08988764044943}, {\"city\": \"city_10\", \"support\": 86, \"avg_response\": 63.41860465116279}, {\"city\": \"city_165\", \"support\": 82, \"avg_response\": 67.2439024390244}, {\"city\": \"city_98\", \"support\": 79, \"avg_response\": 72.12658227848101}, {\"city\": \"city_105\", \"support\": 79, \"avg_response\": 60.29113924050633}, {\"city\": \"city_123\", \"support\": 79, \"avg_response\": 53.69620253164557}, {\"city\": \"city_101\", \"support\": 75, \"avg_response\": 88.49333333333334}, {\"city\": \"city_40\", \"support\": 68, \"avg_response\": 64.57352941176471}, {\"city\": \"city_89\", \"support\": 67, \"avg_response\": 79.41791044776119}, {\"city\": \"city_150\", \"support\": 65, \"avg_response\": 58.8}, {\"city\": \"city_145\", \"support\": 63, \"avg_response\": 55.03174603174603}, {\"city\": \"city_24\", \"support\": 62, \"avg_response\": 40.08064516129032}, {\"city\": \"city_115\", \"support\": 54, \"avg_response\": 64.88888888888889}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 9.47}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fcedd4a7dad4f5a9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fcedd4a7dad4f5a9/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..b910f02d9d4ff46376a7f43fa03810780109ca98
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fcedd4a7dad4f5a9/run_manifest.json
@@ -0,0 +1,60 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:08:56.426301+00:00",
+  "ended_at": "2026-05-19T16:08:56.436623+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_fcedd4a7dad4f5a9",
+    "problem_id": "v2p_m9_35e860b115500b6f",
+    "dataset_id": "m9",
+    "template_id": "tpl_cardinality_high_card_response_stability",
+    "template_name": "High-Cardinality Response Stability",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "high_cardinality_response_stability",
+    "intended_facet_id": "target_cardinality_cross_section",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=training_hours, key_col=city.",
+    "bindings": {
+      "key_col": "city",
+      "measure_col": "training_hours",
+      "min_support": 5
+    },
+    "binding_roles": [
+      "key_col",
+      "target_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {key_col},\n    COUNT(*) AS support,\n    AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;",
+    "notes": [
+      "default_facets=target_cardinality_cross_section",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=5",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_fcedd4a7dad4f5a9.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fcedd4a7dad4f5a9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fcedd4a7dad4f5a9/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_fcedd4a7dad4f5a9/usage_summary.json
@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff38c86f32a8a957/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff38c86f32a8a957/final_answer.txt
new file mode 100644
index 0000000000000000000000000000000000000000..79ce9090cdfc0d88aac2bdea55dc30c8169dd641
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff38c86f32a8a957/final_answer.txt
@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=major_discipline, measure_col=training_hours.
+Result preview: [{"major_discipline": "STEM", "group_value": 944971.0}]
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff38c86f32a8a957/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff38c86f32a8a957/generated_sql.sql
new file mode 100644
index 0000000000000000000000000000000000000000..8b6f7e9e7c03af330dc60110665cf5ee44d40dae
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff38c86f32a8a957/generated_sql.sql
@@ -0,0 +1,35 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_ff38c86f32a8a957
+-- problem_id: v2p_m9_74a56e24ee6e1623
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+  SELECT
+    "major_discipline",
+    SUM(CAST("training_hours" AS REAL)) AS "group_value"
+  FROM "m9"
+  WHERE "major_discipline" IS NOT NULL
+    AND "major_discipline" <> ''
+    AND "training_hours" IS NOT NULL
+    AND "training_hours" <> ''
+  GROUP BY "major_discipline"
+),
+"total" AS (
+  SELECT SUM("group_value") AS "total_value"
+  FROM "grouped"
+)
+SELECT
+  g."major_discipline",
+  g."group_value"
+FROM "grouped" AS g
+CROSS JOIN "total" AS t
+WHERE g."group_value" > t."total_value" * 0.05
+ORDER BY g."group_value" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff38c86f32a8a957/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff38c86f32a8a957/query_results.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..064a4bcca8cc0ee5a59c9f9f1044dbd2d8c0db9a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff38c86f32a8a957/query_results.jsonl
@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n  SELECT\n    \"major_discipline\",\n    SUM(CAST(\"training_hours\" AS REAL)) AS \"group_value\"\n  FROM \"m9\"\n  WHERE \"major_discipline\" IS NOT NULL\n    AND \"major_discipline\" <> ''\n    AND \"training_hours\" IS NOT NULL\n    AND \"training_hours\" <> ''\n  GROUP BY \"major_discipline\"\n),\n\"total\" AS (\n  SELECT SUM(\"group_value\") AS \"total_value\"\n  FROM \"grouped\"\n)\nSELECT\n  g.\"major_discipline\",\n  g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n  SELECT\\n    \\\"major_discipline\\\",\\n    SUM(CAST(\\\"training_hours\\\" AS REAL)) AS \\\"group_value\\\"\\n  FROM \\\"m9\\\"\\n  WHERE \\\"major_discipline\\\" IS NOT NULL\\n    AND \\\"major_discipline\\\" <> ''\\n    AND \\\"training_hours\\\" IS NOT NULL\\n    AND \\\"training_hours\\\" <> ''\\n  GROUP BY \\\"major_discipline\\\"\\n),\\n\\\"total\\\" AS (\\n  SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n  FROM \\\"grouped\\\"\\n)\\nSELECT\\n  g.\\\"major_discipline\\\",\\n  g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"major_discipline\", \"group_value\"], \"rows\": [{\"major_discipline\": \"STEM\", \"group_value\": 944971.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 18.64}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff38c86f32a8a957/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff38c86f32a8a957/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..a69a5898f039d69260c13211cee9c156ab2eff59
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff38c86f32a8a957/run_manifest.json
@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T15:48:38.157352+00:00",
+  "ended_at": "2026-05-19T15:48:54.224942+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_ff38c86f32a8a957",
+    "problem_id": "v2p_m9_74a56e24ee6e1623",
+    "dataset_id": "m9",
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=major_discipline, measure_col=training_hours.",
+    "bindings": {
+      "group_col": "major_discipline",
+      "measure_col": "training_hours",
+      "top_k": 17,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 70.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=2/2",
+      "binding_index=77"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_ff38c86f32a8a957.sql",
+  "usage_summary": {
+    "dataset_id": "m9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m9_ff38c86f32a8a957",
+    "api_calls": 0,
+    "input_tokens": 14784,
+    "cached_input_tokens": 13696,
+    "output_tokens": 960,
+    "total_tokens": 15744,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 16041.86,
+    "sql_execution_elapsed_ms_total": 18.64,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff38c86f32a8a957/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff38c86f32a8a957/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff38c86f32a8a957/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..ce0b1394a76e49898ea45202087cd0db2f19267d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff38c86f32a8a957/trace.jsonl
@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:48:54.203387+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16041.86, "started_at": "2026-05-19T15:48:38.159786+00:00", "ended_at": "2026-05-19T15:48:54.201686+00:00", "prompt_metrics": {"chars": 9865, "bytes_utf8": 9865, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 963, "bytes_utf8": 963, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14784, "cached_input_tokens": 13696, "output_tokens": 960, "reasoning_output_tokens": 694}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n  SELECT\\n    \\\"major_discipline\\\",\\n    SUM(CAST(\\\"training_hours\\\" AS REAL)) AS \\\"group_value\\\"\\n  FROM \\\"m9\\\"\\n  WHERE \\\"major_discipline\\\" IS NOT NULL\\n    AND \\\"major_discipline\\\" <> ''\\n    AND \\\"training_hours\\\" IS NOT NULL\\n    AND \\\"training_hours\\\" <> ''\\n  GROUP BY \\\"major_discipline\\\"\\n),\\n\\\"total\\\" AS (\\n  SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n  FROM \\\"grouped\\\"\\n)\\nSELECT\\n  g.\\\"major_discipline\\\",\\n  g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Uses the requested Relative-to-Total Extreme Threshold template with group_col=\\\"major_discipline\\\" and measure_col=\\\"training_hours\\\". CAST(\\\"training_hours\\\" AS REAL) is used because the schema stores it as TEXT, and blank values are filtered out for both grouped and measured fields.\"}"}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff38c86f32a8a957/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff38c86f32a8a957/usage_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..975886bc5d34517b22e933c054ff5557fbafab5f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff38c86f32a8a957/usage_summary.json
@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m9_ff38c86f32a8a957",
+  "api_calls": 0,
+  "input_tokens": 14784,
+  "cached_input_tokens": 13696,
+  "output_tokens": 960,
+  "total_tokens": 15744,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 16041.86,
+  "sql_execution_elapsed_ms_total": 18.64,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff38c86f32a8a957/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff4b3eaa47b51f0a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff4b3eaa47b51f0a/run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..bf33876cbc83d976af5a87f73a3a8630a6a98c14
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff4b3eaa47b51f0a/run_manifest.json
@@ -0,0 +1,72 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "m9",
+  "started_at": "2026-05-19T16:02:24.353706+00:00",
+  "ended_at": "2026-05-19T16:02:31.902705+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m9_ff4b3eaa47b51f0a",
+    "problem_id": "v2p_m9_459d4b4e3f8d47c7",
+    "dataset_id": "m9",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=company_type, condition_col=gender.",
+    "bindings": {
+      "group_col": "company_type",
+      "condition_col": "gender",
+      "condition_value": "",
+      "positive_value": "Male",
+      "negative_value": "",
+      "top_k": 19,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 88.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=9",
+      "sql_variant_index=2/2",
+      "binding_index=104"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 9,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff4b3eaa47b51f0a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff4b3eaa47b51f0a/trace.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..20a693911e9a771c96ea76471d8511ced4281d82
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/artifacts/v2q_m9_ff4b3eaa47b51f0a/trace.jsonl
@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:02:27.602236+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3245.74, "started_at": "2026-05-19T16:02:24.355708+00:00", "ended_at": "2026-05-19T16:02:27.601475+00:00", "prompt_metrics": {"chars": 9533, "bytes_utf8": 9533, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f9-5d07-77b3-a47e-1bcfcbf0ff9b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:02:31.902613+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3298.6, "started_at": "2026-05-19T16:02:28.603164+00:00", "ended_at": "2026-05-19T16:02:31.901814+00:00", "prompt_metrics": {"chars": 9533, "bytes_utf8": 9533, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f9-6d8a-7d03-87ed-8e2846352ebe\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0022744f06488758.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0022744f06488758.sql
new file mode 100644
index 0000000000000000000000000000000000000000..6a821640af7181783232bb8df16f17e67758eed2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0022744f06488758.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_rate_by_subgroup
+-- variant_semantic_role: missing_rate_by_subgroup
+-- template_id: tpl_missing_rate_by_subgroup
+-- query_record_id: v2q_m9_0022744f06488758
+-- problem_id: v2p_m9_db5978a95a78fdcd
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "education_level",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "enrolled_university" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "enrolled_university" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "education_level"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0143799233bedfc5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0143799233bedfc5.sql
new file mode 100644
index 0000000000000000000000000000000000000000..719b0c44d65956d026b508ab3dae6faea7d02cb9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0143799233bedfc5.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_m9_0143799233bedfc5
+-- problem_id: v2p_m9_892a5278cf8db423
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "experience", "last_new_job", COUNT(*) AS "row_count"
+FROM "m9"
+WHERE "last_new_job" = '4'
+GROUP BY "experience", "last_new_job"
+ORDER BY "row_count" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_03be4dfac16fff45.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_03be4dfac16fff45.sql
new file mode 100644
index 0000000000000000000000000000000000000000..6e51246dfe41170df095428d417e3cb83922a799
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_03be4dfac16fff45.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: marginal_missing_rate_consistency
+-- intended_facet_id: missing_indicator_distribution
+-- variant_semantic_role: missing_indicator_view
+-- template_id: tpl_missing_marginal_rate_profile
+-- query_record_id: v2q_m9_03be4dfac16fff45
+-- problem_id: v2p_m9_a19ccf07f79d1f5d
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "major_discipline" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "major_discipline" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9";
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_03d55ad136bfea10.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_03d55ad136bfea10.sql
new file mode 100644
index 0000000000000000000000000000000000000000..76dc83981456a7aec3b1e59ec487b8b9c3c3f76c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_03d55ad136bfea10.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_m4_window_partition_avg
+-- query_record_id: v2q_m9_03d55ad136bfea10
+-- problem_id: v2p_m9_f4ae55ba1e5d9a37
+-- realization_mode: agent
+-- source_kind: agent
+SELECT DISTINCT
+  "experience",
+  AVG(CAST("enrollee_id" AS REAL)) OVER (PARTITION BY "experience") AS avg_measure
+FROM "m9"
+ORDER BY avg_measure DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_06384e56ebf03f35.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_06384e56ebf03f35.sql
new file mode 100644
index 0000000000000000000000000000000000000000..8a533db9ae2d93e02e0e2b69ce3cd391549a7dc0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_06384e56ebf03f35.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_cardinality_distinct_share_profile
+-- query_record_id: v2q_m9_06384e56ebf03f35
+-- problem_id: v2p_m9_4942fff00c067b39
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "city_development_index" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "city_development_index"
+), ranked AS (
+    SELECT
+        value_label,
+        support,
+        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
+    FROM grouped
+)
+SELECT *
+FROM ranked
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0759b6e47d5c437d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0759b6e47d5c437d.sql
new file mode 100644
index 0000000000000000000000000000000000000000..b1f7133405444c629a2e5c8d0c745a19f0dcc831
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0759b6e47d5c437d.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_rank_order
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m9_0759b6e47d5c437d
+-- problem_id: v2p_m9_4854c33ad5148518
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "gender", SUM(CAST(NULLIF("city_development_index", '') AS REAL)) AS total_measure
+FROM "m9"
+GROUP BY "gender"
+ORDER BY total_measure DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_07c06a61109b6393.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_07c06a61109b6393.sql
new file mode 100644
index 0000000000000000000000000000000000000000..938b53687fd29eed4dcf826668e6ddb6d586e262
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_07c06a61109b6393.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: high_cardinality_response_stability
+-- intended_facet_id: target_cardinality_cross_section
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_cardinality_high_card_response_stability
+-- query_record_id: v2q_m9_07c06a61109b6393
+-- problem_id: v2p_m9_b6c283cdec13a42d
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "training_hours",
+    COUNT(*) AS support,
+    AVG("enrollee_id") AS avg_response
+FROM "m9"
+GROUP BY "training_hours"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_088d3b25ce027e81.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_088d3b25ce027e81.sql
new file mode 100644
index 0000000000000000000000000000000000000000..4b8f92018e7c7334d3fbada62646fa7ebed512ca
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_088d3b25ce027e81.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: high_cardinality_response_stability
+-- intended_facet_id: target_cardinality_cross_section
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_cardinality_high_card_response_stability
+-- query_record_id: v2q_m9_088d3b25ce027e81
+-- problem_id: v2p_m9_7159a87ac8e5dca0
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "city_development_index",
+    COUNT(*) AS support,
+    AVG("training_hours") AS avg_response
+FROM "m9"
+GROUP BY "city_development_index"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_08a12422b8cd076d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_08a12422b8cd076d.sql
new file mode 100644
index 0000000000000000000000000000000000000000..0baf5492e5a6958ac06a56a8aad39cf8042a07f2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_08a12422b8cd076d.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m9_08a12422b8cd076d
+-- problem_id: v2p_m9_4bdeba3c620cf746
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "relevent_experience",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "last_new_job" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "last_new_job" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "relevent_experience"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0b646637c9fd1427.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0b646637c9fd1427.sql
new file mode 100644
index 0000000000000000000000000000000000000000..5fbd9ce63adabf1f7ee6b217eae69e251129e8d6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0b646637c9fd1427.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_m9_0b646637c9fd1427
+-- problem_id: v2p_m9_98456a4def4bddfe
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "experience", "training_hours", COUNT(*) AS "row_count"
+FROM "m9"
+WHERE CAST("training_hours" AS REAL) >= 88.0
+GROUP BY "experience", "training_hours"
+ORDER BY "row_count" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0ba201699a862a68.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0ba201699a862a68.sql
new file mode 100644
index 0000000000000000000000000000000000000000..a8939baac7c06e1a0ce5cfbe67458dd00532b2c3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0ba201699a862a68.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_0ba201699a862a68
+-- problem_id: v2p_m9_e705f120154488ca
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "major_discipline",
+       AVG(CASE WHEN "company_type" = 'Pvt Ltd' THEN 1 ELSE 0 END) AS condition_rate
+FROM "m9"
+GROUP BY "major_discipline"
+ORDER BY condition_rate DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0d1d5d0b6b0ef65a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0d1d5d0b6b0ef65a.sql
new file mode 100644
index 0000000000000000000000000000000000000000..3471038cf73d8f1f4c233765721dd0761fa3209b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0d1d5d0b6b0ef65a.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_m4_window_partition_avg
+-- query_record_id: v2q_m9_0d1d5d0b6b0ef65a
+-- problem_id: v2p_m9_5e09915348fdb67c
+-- realization_mode: agent
+-- source_kind: agent
+SELECT DISTINCT "city_development_index",
+       AVG(CAST("enrollee_id" AS REAL)) OVER (PARTITION BY "city_development_index") AS avg_measure
+FROM "m9"
+WHERE "city_development_index" IS NOT NULL
+  AND "city_development_index" <> ''
+  AND "enrollee_id" IS NOT NULL
+  AND "enrollee_id" <> ''
+ORDER BY avg_measure DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0ebab9486c912765.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0ebab9486c912765.sql
new file mode 100644
index 0000000000000000000000000000000000000000..f73f5e629d26ba0364fbbdac0f10c02ff9109202
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_0ebab9486c912765.sql
@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_0ebab9486c912765
+-- problem_id: v2p_m9_ad230218b4bebff6
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "education_level", SUM(CAST(NULLIF("city_development_index", '') AS REAL)) AS "group_value"
+    FROM "m9"
+    GROUP BY "education_level"
+), total AS (
+    SELECT SUM("group_value") AS "total_value"
+    FROM grouped
+)
+SELECT g."education_level", g."group_value"
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g."group_value" > t."total_value" * 0.1
+ORDER BY g."group_value" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_102d4ac20150a348.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_102d4ac20150a348.sql
new file mode 100644
index 0000000000000000000000000000000000000000..eb7c45d10eb9668401a9f0d85321d2ff398d9caa
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_102d4ac20150a348.sql
@@ -0,0 +1,69 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_m9_102d4ac20150a348
+-- problem_id: v2p_m9_0fae73351a4f6f22
+-- realization_mode: agent
+-- source_kind: agent
+WITH "base" AS (
+  SELECT
+    "education_level" AS "group_col",
+    CAST("city_development_index" AS REAL) AS "measure_col"
+  FROM "m9"
+  WHERE "education_level" IS NOT NULL
+    AND "education_level" <> ''
+    AND "city_development_index" IS NOT NULL
+    AND "city_development_index" <> ''
+),
+"ranked" AS (
+  SELECT
+    "group_col",
+    "measure_col",
+    ROW_NUMBER() OVER (PARTITION BY "group_col" ORDER BY "measure_col") AS "rn",
+    COUNT(*) OVER (PARTITION BY "group_col") AS "n"
+  FROM "base"
+),
+"params" AS (
+  SELECT DISTINCT
+    "group_col",
+    "n",
+    (1.0 + (0.9 * ("n" - 1))) AS "pos",
+    CAST(1.0 + (0.9 * ("n" - 1)) AS INTEGER) AS "lower_rn",
+    CASE
+      WHEN (1.0 + (0.9 * ("n" - 1))) = CAST(1.0 + (0.9 * ("n" - 1)) AS INTEGER)
+        THEN CAST(1.0 + (0.9 * ("n" - 1)) AS INTEGER)
+      ELSE CAST(1.0 + (0.9 * ("n" - 1)) AS INTEGER) + 1
+    END AS "upper_rn"
+  FROM "ranked"
+),
+"picked" AS (
+  SELECT
+    p."group_col",
+    p."pos",
+    p."lower_rn",
+    p."upper_rn",
+    MAX(CASE WHEN r."rn" = p."lower_rn" THEN r."measure_col" END) AS "lower_val",
+    MAX(CASE WHEN r."rn" = p."upper_rn" THEN r."measure_col" END) AS "upper_val"
+  FROM "params" p
+  JOIN "ranked" r
+    ON r."group_col" = p."group_col"
+  GROUP BY
+    p."group_col",
+    p."pos",
+    p."lower_rn",
+    p."upper_rn"
+)
+SELECT
+  "group_col" AS "education_level",
+  CASE
+    WHEN "lower_rn" = "upper_rn" THEN "lower_val"
+    ELSE "lower_val" + (("pos" - "lower_rn") * ("upper_val" - "lower_val"))
+  END AS "percentile_measure"
+FROM "picked"
+ORDER BY "percentile_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_1053c1164ffe9ea3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_1053c1164ffe9ea3.sql
new file mode 100644
index 0000000000000000000000000000000000000000..58ffdd39fabae7fbafc79f5dc485c5158ae76a37
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_1053c1164ffe9ea3.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_m9_1053c1164ffe9ea3
+-- problem_id: v2p_m9_7ba68fd30abaa0b8
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "target" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "target"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_126d5fc6d858efd2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_126d5fc6d858efd2.sql
new file mode 100644
index 0000000000000000000000000000000000000000..83eacce3219c201d67dafa75575c021c280f817c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_126d5fc6d858efd2.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: subgroup_size_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_clickbench_group_count
+-- query_record_id: v2q_m9_126d5fc6d858efd2
+-- problem_id: v2p_m9_ab2ed1ee47ce1e48
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "city_development_index", COUNT(*) AS "row_count"
+FROM "m9"
+GROUP BY "city_development_index"
+ORDER BY "row_count" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_12c34fb540176763.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_12c34fb540176763.sql
new file mode 100644
index 0000000000000000000000000000000000000000..f7e844ae0c6dfb4d7ace7f807f72bbe309e795a0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_12c34fb540176763.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_cardinality_distinct_share_profile
+-- query_record_id: v2q_m9_12c34fb540176763
+-- problem_id: v2p_m9_b3e4b532fb753d3c
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "enrolled_university" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "enrolled_university"
+), ranked AS (
+    SELECT
+        value_label,
+        support,
+        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
+    FROM grouped
+)
+SELECT *
+FROM ranked
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_13f9249ee76c113c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_13f9249ee76c113c.sql
new file mode 100644
index 0000000000000000000000000000000000000000..922a8b1340b383c7464591b3a91dcb9cd82151bb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_13f9249ee76c113c.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_rate_by_subgroup
+-- variant_semantic_role: missing_rate_by_subgroup
+-- template_id: tpl_missing_rate_by_subgroup
+-- query_record_id: v2q_m9_13f9249ee76c113c
+-- problem_id: v2p_m9_2a94b7b211736467
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "company_size",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "gender" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "gender" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "company_size"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_14826b2ffd2eecc5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_14826b2ffd2eecc5.sql
new file mode 100644
index 0000000000000000000000000000000000000000..1f7c9badb016f24f0059d3e67acf27340db4c6a6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_14826b2ffd2eecc5.sql
@@ -0,0 +1,15 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_threshold_rarity_cdf
+-- query_record_id: v2q_m9_14826b2ffd2eecc5
+-- problem_id: v2p_m9_64d02d5cbef09ccd
+-- realization_mode: agent
+-- source_kind: agent
+SELECT AVG(CASE WHEN CAST("enrollee_id" AS REAL) <= 25169.75 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold"
+FROM "m9";
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_15e8ebf8c77ece86.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_15e8ebf8c77ece86.sql
new file mode 100644
index 0000000000000000000000000000000000000000..8f0a8e086dbc0c0d49e4aead74663243bd5c9f93
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_15e8ebf8c77ece86.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: high_cardinality_response_stability
+-- intended_facet_id: target_cardinality_cross_section
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_cardinality_high_card_response_stability
+-- query_record_id: v2q_m9_15e8ebf8c77ece86
+-- problem_id: v2p_m9_284c5479abb24075
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "city_development_index",
+    COUNT(*) AS support,
+    AVG("enrollee_id") AS avg_response
+FROM "m9"
+GROUP BY "city_development_index"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_15eb58bf509589a4.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_15eb58bf509589a4.sql
new file mode 100644
index 0000000000000000000000000000000000000000..365589e155baaaee798b4ac0621a827d0e78424f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_15eb58bf509589a4.sql
@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_15eb58bf509589a4
+-- problem_id: v2p_m9_8e4dcb48a8f09d0d
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "city_development_index", "enrollee_id",
+       SUM(CAST("enrollee_id" AS REAL)) AS "total_measure",
+       SUM(CAST("enrollee_id" AS REAL)) * 100.0 / SUM(SUM(CAST("enrollee_id" AS REAL))) OVER (PARTITION BY "city_development_index") AS "share_within_group"
+FROM "m9"
+GROUP BY "city_development_index", "enrollee_id"
+ORDER BY "share_within_group" DESC
+LIMIT 19;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_18af7d0afaf31093.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_18af7d0afaf31093.sql
new file mode 100644
index 0000000000000000000000000000000000000000..eba476394cf6f2c30944eda5770e0c575bed3469
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_18af7d0afaf31093.sql
@@ -0,0 +1,23 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_m4_quantile_tail_slice
+-- query_record_id: v2q_m9_18af7d0afaf31093
+-- problem_id: v2p_m9_473fdc4afea0d76c
+-- realization_mode: agent
+-- source_kind: agent
+WITH buckets AS (
+    SELECT "training_hours",
+           NTILE(10) OVER (ORDER BY CAST(NULLIF("training_hours", '') AS REAL) DESC) AS tail_bucket
+    FROM "m9"
+    WHERE NULLIF("training_hours", '') IS NOT NULL
+)
+SELECT "training_hours"
+FROM buckets
+WHERE tail_bucket = 1
+ORDER BY CAST("training_hours" AS REAL) DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_199100e1219f2d05.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_199100e1219f2d05.sql
new file mode 100644
index 0000000000000000000000000000000000000000..bdbc2e618290871401580cefb5cf741d5aa407ad
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_199100e1219f2d05.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: high_cardinality_response_stability
+-- intended_facet_id: target_cardinality_cross_section
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_cardinality_high_card_response_stability
+-- query_record_id: v2q_m9_199100e1219f2d05
+-- problem_id: v2p_m9_a4c632a454eca2b0
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "enrollee_id",
+    COUNT(*) AS support,
+    AVG("city_development_index") AS avg_response
+FROM "m9"
+GROUP BY "enrollee_id"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_19a7dbe29f1919bc.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_19a7dbe29f1919bc.sql
new file mode 100644
index 0000000000000000000000000000000000000000..32fa06ead9872f6e9cf9d00134641b339e0453d8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_19a7dbe29f1919bc.sql
@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: contrastive_conditional_view
+-- template_id: tpl_m4_group_ratio_two_conditions
+-- query_record_id: v2q_m9_19a7dbe29f1919bc
+-- problem_id: v2p_m9_9410883061fea888
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT
+        "company_size",
+        SUM(CASE WHEN "education_level" = 'Graduate' THEN 1 ELSE 0 END) AS numerator_count,
+        SUM(CASE WHEN "education_level" = 'Masters' THEN 1 ELSE 0 END) AS denominator_count
+    FROM "m9"
+    GROUP BY "company_size"
+)
+SELECT
+    "company_size",
+    CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio
+FROM grouped
+ORDER BY condition_ratio DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_1a398fef0ebdc7be.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_1a398fef0ebdc7be.sql
new file mode 100644
index 0000000000000000000000000000000000000000..fced3ea088da7e025b97b4f53125c9a6fbd038fa
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_1a398fef0ebdc7be.sql
@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: contrastive_conditional_view
+-- template_id: tpl_m4_group_ratio_two_conditions
+-- query_record_id: v2q_m9_1a398fef0ebdc7be
+-- problem_id: v2p_m9_9af2f2b93ce71f54
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+    SELECT
+        "relevent_experience",
+        SUM(CASE WHEN "last_new_job" = '1' THEN 1 ELSE 0 END) AS "numerator_count",
+        SUM(CASE WHEN "last_new_job" = '>4' THEN 1 ELSE 0 END) AS "denominator_count"
+    FROM "m9"
+    GROUP BY "relevent_experience"
+)
+SELECT
+    "relevent_experience",
+    CAST("numerator_count" AS FLOAT) / NULLIF("denominator_count", 0) AS "condition_ratio"
+FROM "grouped"
+ORDER BY "condition_ratio" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_1aaf6b7ff4c9d23d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_1aaf6b7ff4c9d23d.sql
new file mode 100644
index 0000000000000000000000000000000000000000..a84c620b3376ece1e67a7f4676216ef71c5a495a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_1aaf6b7ff4c9d23d.sql
@@ -0,0 +1,56 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_m9_1aaf6b7ff4c9d23d
+-- problem_id: v2p_m9_a55194f956b65d09
+-- realization_mode: agent
+-- source_kind: agent
+WITH "ordered" AS (
+  SELECT
+    "experience",
+    CAST("enrollee_id" AS REAL) AS "measure_value",
+    ROW_NUMBER() OVER (
+      PARTITION BY "experience"
+      ORDER BY CAST("enrollee_id" AS REAL)
+    ) AS "rn",
+    COUNT(*) OVER (PARTITION BY "experience") AS "cnt"
+  FROM "m9"
+  WHERE "experience" IS NOT NULL
+    AND "experience" <> ''
+    AND "enrollee_id" IS NOT NULL
+    AND "enrollee_id" <> ''
+),
+"bounds" AS (
+  SELECT
+    "experience",
+    "measure_value",
+    "rn",
+    "cnt",
+    1 + (("cnt" - 1) * 0.9) AS "pos"
+  FROM "ordered"
+),
+"picked" AS (
+  SELECT
+    "experience",
+    "cnt",
+    MAX(CASE WHEN "rn" = CAST("pos" AS INTEGER) THEN "measure_value" END) AS "lower_value",
+    MAX(CASE WHEN "rn" = CAST("pos" AS INTEGER) + 1 THEN "measure_value" END) AS "upper_value",
+    MAX("pos") AS "pos"
+  FROM "bounds"
+  GROUP BY "experience", "cnt"
+)
+SELECT
+  "experience",
+  CASE
+    WHEN "cnt" = 1 THEN "lower_value"
+    WHEN CAST("pos" AS INTEGER) = "pos" THEN "lower_value"
+    ELSE "lower_value" + ("pos" - CAST("pos" AS INTEGER)) * ("upper_value" - "lower_value")
+  END AS "percentile_measure"
+FROM "picked"
+ORDER BY "percentile_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_1b47d3df01de1317.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_1b47d3df01de1317.sql
new file mode 100644
index 0000000000000000000000000000000000000000..f20e49c496cc1a706034884e33f61630ac46adb9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_1b47d3df01de1317.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_1b47d3df01de1317
+-- problem_id: v2p_m9_08e0e4ef91f9ed21
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "company_size",
+  "city_development_index",
+  SUM(CAST("city_development_index" AS REAL)) AS total_measure,
+  SUM(CAST("city_development_index" AS REAL)) * 100.0 / SUM(SUM(CAST("city_development_index" AS REAL))) OVER (PARTITION BY "company_size") AS share_within_group
+FROM "m9"
+WHERE "company_size" IS NOT NULL
+  AND "company_size" <> ''
+  AND "city_development_index" IS NOT NULL
+  AND "city_development_index" <> ''
+GROUP BY "company_size", "city_development_index"
+ORDER BY share_within_group DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_1d72320a89b76321.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_1d72320a89b76321.sql
new file mode 100644
index 0000000000000000000000000000000000000000..d4f2d5474e9b12ecb9e79e2ee96f6073d70e9ea2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_1d72320a89b76321.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_conditional_contrast
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m9_1d72320a89b76321
+-- problem_id: v2p_m9_361f1c265c8b57d1
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "education_level", SUM(CAST(NULLIF("city_development_index", '') AS REAL)) AS "total_measure"
+FROM "m9"
+GROUP BY "education_level"
+ORDER BY "total_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_1fcfeb0362f1c7eb.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_1fcfeb0362f1c7eb.sql
new file mode 100644
index 0000000000000000000000000000000000000000..bf2863f2fb8176ea5faeb5615d347a4964def7d3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_1fcfeb0362f1c7eb.sql
@@ -0,0 +1,19 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_1fcfeb0362f1c7eb
+-- problem_id: v2p_m9_d2a6390306a85493
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "enrolled_university", "experience",
+       SUM(CAST("enrollee_id" AS NUMERIC)) AS total_measure,
+       SUM(CAST("enrollee_id" AS NUMERIC)) * 100.0 / SUM(SUM(CAST("enrollee_id" AS NUMERIC))) OVER (PARTITION BY "enrolled_university") AS share_within_group
+FROM "m9"
+GROUP BY "enrolled_university", "experience"
+ORDER BY share_within_group DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_22971f0ddd0d2767.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_22971f0ddd0d2767.sql
new file mode 100644
index 0000000000000000000000000000000000000000..7351c85a35c81deb0222b28cc849e8ee86fdd56c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_22971f0ddd0d2767.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: subgroup_size_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_clickbench_group_count
+-- query_record_id: v2q_m9_22971f0ddd0d2767
+-- problem_id: v2p_m9_cb168b40f231cc8f
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "major_discipline", COUNT(*) AS row_count
+FROM "m9"
+GROUP BY "major_discipline"
+ORDER BY row_count DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_23398cbc8b31c740.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_23398cbc8b31c740.sql
new file mode 100644
index 0000000000000000000000000000000000000000..8ce3fc615a5f1b719019c46fb4542d758452b600
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_23398cbc8b31c740.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: marginal_missing_rate_consistency
+-- intended_facet_id: missing_indicator_distribution
+-- variant_semantic_role: missing_indicator_view
+-- template_id: tpl_missing_marginal_rate_profile
+-- query_record_id: v2q_m9_23398cbc8b31c740
+-- problem_id: v2p_m9_e4446598547fd0b2
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "company_size" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "company_size" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9";
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_24d22f21f606121d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_24d22f21f606121d.sql
new file mode 100644
index 0000000000000000000000000000000000000000..5bc23d2a01ec8d5a564b61ed7f8ce5bc0b96623e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_24d22f21f606121d.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_rate_by_subgroup
+-- variant_semantic_role: missing_rate_by_subgroup
+-- template_id: tpl_missing_rate_by_subgroup
+-- query_record_id: v2q_m9_24d22f21f606121d
+-- problem_id: v2p_m9_7f6a9aeb8ec62d34
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "experience",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "company_type" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "company_type" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "experience"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_24e382894c464291.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_24e382894c464291.sql
new file mode 100644
index 0000000000000000000000000000000000000000..a8e9250467074bbeb307168cc33bcc8153bb4cd9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_24e382894c464291.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: high_cardinality_response_stability
+-- intended_facet_id: target_cardinality_cross_section
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_cardinality_high_card_response_stability
+-- query_record_id: v2q_m9_24e382894c464291
+-- problem_id: v2p_m9_a60c27c2d70b4ada
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "city",
+    COUNT(*) AS support,
+    AVG("enrollee_id") AS avg_response
+FROM "m9"
+GROUP BY "city"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_26eb494b4e647dfb.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_26eb494b4e647dfb.sql
new file mode 100644
index 0000000000000000000000000000000000000000..bf2fa58c986cfaeb81827e5676e007767a833e0a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_26eb494b4e647dfb.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_rate_by_subgroup
+-- variant_semantic_role: missing_rate_by_subgroup
+-- template_id: tpl_missing_rate_by_subgroup
+-- query_record_id: v2q_m9_26eb494b4e647dfb
+-- problem_id: v2p_m9_1c8b20a6a08de913
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "city_development_index",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "experience" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "experience" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "city_development_index"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_26fd625d21bebadb.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_26fd625d21bebadb.sql
new file mode 100644
index 0000000000000000000000000000000000000000..2cc7a4ab046631e738970119810b22dcc13b7f9f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_26fd625d21bebadb.sql
@@ -0,0 +1,24 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: contrastive_conditional_view
+-- template_id: tpl_m4_group_ratio_two_conditions
+-- query_record_id: v2q_m9_26fd625d21bebadb
+-- problem_id: v2p_m9_b59128efdeec0bc8
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "city_development_index",
+           SUM(CASE WHEN "major_discipline" = 'STEM' THEN 1 ELSE 0 END) AS numerator_count,
+           SUM(CASE WHEN "major_discipline" = '' THEN 1 ELSE 0 END) AS denominator_count
+    FROM "m9"
+    GROUP BY "city_development_index"
+)
+SELECT "city_development_index",
+       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio
+FROM grouped
+ORDER BY condition_ratio DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2716dec92da40a34.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2716dec92da40a34.sql
new file mode 100644
index 0000000000000000000000000000000000000000..f3747746396c34d477407fd0e7734d301ca71a83
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2716dec92da40a34.sql
@@ -0,0 +1,66 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_m9_2716dec92da40a34
+-- problem_id: v2p_m9_6c068b3bd3ac8e1c
+-- realization_mode: agent
+-- source_kind: agent
+WITH "base" AS (
+  SELECT
+    "education_level" AS "group_col",
+    CAST("city_development_index" AS REAL) AS "measure_col"
+  FROM "m9"
+  WHERE "education_level" IS NOT NULL
+    AND "education_level" <> ''
+    AND "city_development_index" IS NOT NULL
+    AND "city_development_index" <> ''
+),
+"ranked" AS (
+  SELECT
+    "group_col",
+    "measure_col",
+    ROW_NUMBER() OVER (PARTITION BY "group_col" ORDER BY "measure_col") AS "rn",
+    COUNT(*) OVER (PARTITION BY "group_col") AS "cnt"
+  FROM "base"
+),
+"bounds" AS (
+  SELECT
+    "group_col",
+    "cnt",
+    (0.95 * ("cnt" - 1)) + 1 AS "pos",
+    CAST((0.95 * ("cnt" - 1)) + 1 AS INTEGER) AS "lo_rn",
+    CASE
+      WHEN ((0.95 * ("cnt" - 1)) + 1) = CAST((0.95 * ("cnt" - 1)) + 1 AS INTEGER)
+        THEN CAST((0.95 * ("cnt" - 1)) + 1 AS INTEGER)
+      ELSE CAST((0.95 * ("cnt" - 1)) + 1 AS INTEGER) + 1
+    END AS "hi_rn"
+  FROM "ranked"
+  WHERE "cnt" >= 5
+  GROUP BY "group_col", "cnt"
+),
+"picked" AS (
+  SELECT
+    b."group_col",
+    b."pos",
+    MAX(CASE WHEN r."rn" = b."lo_rn" THEN r."measure_col" END) AS "lo_val",
+    MAX(CASE WHEN r."rn" = b."hi_rn" THEN r."measure_col" END) AS "hi_val"
+  FROM "bounds" AS b
+  JOIN "ranked" AS r
+    ON r."group_col" = b."group_col"
+  GROUP BY b."group_col", b."pos"
+)
+SELECT
+  "group_col" AS "education_level",
+  CASE
+    WHEN "lo_val" IS NULL THEN NULL
+    WHEN "hi_val" IS NULL OR "lo_val" = "hi_val" THEN "lo_val"
+    ELSE "lo_val" + (("pos" - CAST("pos" AS INTEGER)) * ("hi_val" - "lo_val"))
+  END AS "percentile_measure"
+FROM "picked"
+ORDER BY "percentile_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2744f3972a46e249.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2744f3972a46e249.sql
new file mode 100644
index 0000000000000000000000000000000000000000..a353280644bf095a618090a6c58128ca731399f9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2744f3972a46e249.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: marginal_missing_rate_consistency
+-- intended_facet_id: missing_indicator_distribution
+-- variant_semantic_role: missing_indicator_view
+-- template_id: tpl_missing_marginal_rate_profile
+-- query_record_id: v2q_m9_2744f3972a46e249
+-- problem_id: v2p_m9_477f164940d8835b
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "education_level" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "education_level" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9";
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2bd920d79f7b2d74.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2bd920d79f7b2d74.sql
new file mode 100644
index 0000000000000000000000000000000000000000..302fdef6bd53d7a605e47d34fae5d876ce15ce0e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2bd920d79f7b2d74.sql
@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_tail_low_support_group_count_v2
+-- query_record_id: v2q_m9_2bd920d79f7b2d74
+-- problem_id: v2p_m9_67a70875548c6d23
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+    "experience",
+    COUNT(*) AS support
+FROM "m9"
+GROUP BY "experience"
+ORDER BY support ASC, "experience"
+LIMIT 11;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2c8fa5178b92e059.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2c8fa5178b92e059.sql
new file mode 100644
index 0000000000000000000000000000000000000000..850324fe5ce8f54f574d7dad548a6675a19d4966
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2c8fa5178b92e059.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_2c8fa5178b92e059
+-- problem_id: v2p_m9_91e84091e1d8de4a
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "last_new_job",
+  "training_hours",
+  SUM(CAST("enrollee_id" AS REAL)) AS total_measure,
+  SUM(CAST("enrollee_id" AS REAL)) * 100.0 / SUM(SUM(CAST("enrollee_id" AS REAL))) OVER (PARTITION BY "last_new_job") AS share_within_group
+FROM "m9"
+GROUP BY "last_new_job", "training_hours"
+ORDER BY share_within_group DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2ecccc68819b9d94.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2ecccc68819b9d94.sql
new file mode 100644
index 0000000000000000000000000000000000000000..aa96f89f1506e9464ece39675886cde2c91be83a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2ecccc68819b9d94.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: marginal_missing_rate_consistency
+-- intended_facet_id: missing_indicator_distribution
+-- variant_semantic_role: missing_indicator_view
+-- template_id: tpl_missing_marginal_rate_profile
+-- query_record_id: v2q_m9_2ecccc68819b9d94
+-- problem_id: v2p_m9_d60dd0f8b3b1e51d
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "company_type" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "company_type" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9";
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2fb04cf42eeead01.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2fb04cf42eeead01.sql
new file mode 100644
index 0000000000000000000000000000000000000000..d474dda0016e6ded4aefe16b11815d868e69e3a9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_2fb04cf42eeead01.sql
@@ -0,0 +1,27 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_2fb04cf42eeead01
+-- problem_id: v2p_m9_98e1fc7850db9798
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+  SELECT "company_type", SUM(CAST("training_hours" AS REAL)) AS "group_value"
+  FROM "m9"
+  GROUP BY "company_type"
+),
+"total" AS (
+  SELECT SUM("group_value") AS "total_value"
+  FROM "grouped"
+)
+SELECT g."company_type", g."group_value"
+FROM "grouped" AS g
+CROSS JOIN "total" AS t
+WHERE g."group_value" > t."total_value" * 0.1
+ORDER BY g."group_value" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3268495ff572f220.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3268495ff572f220.sql
new file mode 100644
index 0000000000000000000000000000000000000000..dd659ae88dba11b1577ed0bdcdc02c0e73544c83
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3268495ff572f220.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_m9_3268495ff572f220
+-- problem_id: v2p_m9_29c7697a70a37956
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "company_size" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "company_size"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_335ae5b066dd48bd.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_335ae5b066dd48bd.sql
new file mode 100644
index 0000000000000000000000000000000000000000..6281b9063c924740c8467502b2eeac6a0c9df1b4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_335ae5b066dd48bd.sql
@@ -0,0 +1,31 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_335ae5b066dd48bd
+-- problem_id: v2p_m9_d5a95e17176a84f8
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+  SELECT
+    "experience",
+    COUNT("enrollee_id") AS "group_value"
+  FROM "m9"
+  GROUP BY "experience"
+),
+"total" AS (
+  SELECT SUM("group_value") AS "total_value"
+  FROM "grouped"
+)
+SELECT
+  g."experience",
+  g."group_value"
+FROM "grouped" AS g
+CROSS JOIN "total" AS t
+WHERE g."group_value" > t."total_value" * 0.1
+ORDER BY g."group_value" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_33af6dde8c46e173.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_33af6dde8c46e173.sql
new file mode 100644
index 0000000000000000000000000000000000000000..8bcfe3250cae49fa033d8c30c242061412caffef
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_33af6dde8c46e173.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_rate_by_subgroup
+-- variant_semantic_role: missing_rate_by_subgroup
+-- template_id: tpl_missing_rate_by_subgroup
+-- query_record_id: v2q_m9_33af6dde8c46e173
+-- problem_id: v2p_m9_b8ffe6a386fca068
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "enrolled_university",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "company_size" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "company_size" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "enrolled_university"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_33cc4a8483978a67.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_33cc4a8483978a67.sql
new file mode 100644
index 0000000000000000000000000000000000000000..e51312bc0a4ae13aa2ee149b7f692f6790942d53
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_33cc4a8483978a67.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: marginal_missing_rate_consistency
+-- intended_facet_id: missing_indicator_distribution
+-- variant_semantic_role: missing_indicator_view
+-- template_id: tpl_missing_marginal_rate_profile
+-- query_record_id: v2q_m9_33cc4a8483978a67
+-- problem_id: v2p_m9_b3539ef3e45038d1
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "gender" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "gender" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9";
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_38a7d957278baec1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_38a7d957278baec1.sql
new file mode 100644
index 0000000000000000000000000000000000000000..4666625bc808791f2b235b4cb1f1227218960659
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_38a7d957278baec1.sql
@@ -0,0 +1,24 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_m4_quantile_tail_slice
+-- query_record_id: v2q_m9_38a7d957278baec1
+-- problem_id: v2p_m9_e87cc71c342d5ff0
+-- realization_mode: agent
+-- source_kind: agent
+WITH buckets AS (
+    SELECT
+        "enrollee_id",
+        NTILE(10) OVER (ORDER BY CAST("enrollee_id" AS INTEGER) DESC) AS tail_bucket
+    FROM "m9"
+    WHERE "enrollee_id" IS NOT NULL AND "enrollee_id" <> ''
+)
+SELECT "enrollee_id"
+FROM buckets
+WHERE tail_bucket = 1
+ORDER BY CAST("enrollee_id" AS INTEGER) DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3c214e997dd8d8a5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3c214e997dd8d8a5.sql
new file mode 100644
index 0000000000000000000000000000000000000000..ba24a66237f8fc283ebe86b42408549048525f88
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3c214e997dd8d8a5.sql
@@ -0,0 +1,32 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_3c214e997dd8d8a5
+-- problem_id: v2p_m9_86d54045a89ed1d3
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+  SELECT
+    "education_level",
+    SUM(CAST("city_development_index" AS REAL)) AS group_value
+  FROM "m9"
+  WHERE "education_level" IS NOT NULL
+    AND "education_level" <> ''
+    AND "city_development_index" IS NOT NULL
+    AND "city_development_index" <> ''
+  GROUP BY "education_level"
+), total AS (
+  SELECT SUM(group_value) AS total_value
+  FROM grouped
+)
+SELECT g."education_level", g.group_value
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g.group_value > t.total_value * 0.05
+ORDER BY g.group_value DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3ca64cfda21f41bb.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3ca64cfda21f41bb.sql
new file mode 100644
index 0000000000000000000000000000000000000000..0edd6debbaf13512c9f749bafb76f8b038382eed
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3ca64cfda21f41bb.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_3ca64cfda21f41bb
+-- problem_id: v2p_m9_23c9b122f1990192
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "city_development_index",
+       AVG(CASE WHEN "gender" = '' THEN 1 ELSE 0 END) AS condition_rate
+FROM "m9"
+GROUP BY "city_development_index"
+ORDER BY condition_rate DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3cc6043271b19bf1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3cc6043271b19bf1.sql
new file mode 100644
index 0000000000000000000000000000000000000000..f58cf14af92744e6d59b7a1d889e0edb390b09ae
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3cc6043271b19bf1.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_3cc6043271b19bf1
+-- problem_id: v2p_m9_a6c9915dc5e73511
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "company_type",
+       AVG(CASE WHEN "gender" = 'Male' THEN 1 ELSE 0 END) AS condition_rate
+FROM "m9"
+GROUP BY "company_type"
+ORDER BY condition_rate DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3cf01897659feb3f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3cf01897659feb3f.sql
new file mode 100644
index 0000000000000000000000000000000000000000..d7d157196fbda6278353823aaa01f2f10df76834
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3cf01897659feb3f.sql
@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: contrastive_conditional_view
+-- template_id: tpl_m4_group_ratio_two_conditions
+-- query_record_id: v2q_m9_3cf01897659feb3f
+-- problem_id: v2p_m9_674086dc5ded99f3
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+    SELECT
+        "enrolled_university",
+        SUM(CASE WHEN "target" = '0.0' THEN 1 ELSE 0 END) AS "numerator_count",
+        SUM(CASE WHEN "target" = '1.0' THEN 1 ELSE 0 END) AS "denominator_count"
+    FROM "m9"
+    GROUP BY "enrolled_university"
+)
+SELECT
+    "enrolled_university",
+    CAST("numerator_count" AS FLOAT) / NULLIF("denominator_count", 0) AS "condition_ratio"
+FROM "grouped"
+ORDER BY "condition_ratio" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3cfe0b4c60404e03.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3cfe0b4c60404e03.sql
new file mode 100644
index 0000000000000000000000000000000000000000..2a7ce3f4f3af3ba9d53315c44738171479462a67
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3cfe0b4c60404e03.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_m9_3cfe0b4c60404e03
+-- problem_id: v2p_m9_042083977b88bef6
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "relevent_experience" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "relevent_experience"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3da77e5212fcafa1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3da77e5212fcafa1.sql
new file mode 100644
index 0000000000000000000000000000000000000000..40c515f0f99895ff49f0019522332bfa8a0faeac
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3da77e5212fcafa1.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: marginal_missing_rate_consistency
+-- intended_facet_id: missing_indicator_distribution
+-- variant_semantic_role: missing_indicator_view
+-- template_id: tpl_missing_marginal_rate_profile
+-- query_record_id: v2q_m9_3da77e5212fcafa1
+-- problem_id: v2p_m9_78efb5e51c91f33a
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "enrolled_university" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "enrolled_university" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9";
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3e511195791e8d5f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3e511195791e8d5f.sql
new file mode 100644
index 0000000000000000000000000000000000000000..ee94e54e858d032303898ff8f0a0bec8419cbbde
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3e511195791e8d5f.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_cardinality_distinct_share_profile
+-- query_record_id: v2q_m9_3e511195791e8d5f
+-- problem_id: v2p_m9_c3f69d0e41bc1c82
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "company_type" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "company_type"
+), ranked AS (
+    SELECT
+        value_label,
+        support,
+        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
+    FROM grouped
+)
+SELECT *
+FROM ranked
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3f5d3394bd5c4a6c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3f5d3394bd5c4a6c.sql
new file mode 100644
index 0000000000000000000000000000000000000000..2bd64757241e89886f604acff77452cab6ef7ae4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_3f5d3394bd5c4a6c.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_3f5d3394bd5c4a6c
+-- problem_id: v2p_m9_66356dd07392cd05
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "enrolled_university",
+       AVG(CASE WHEN "education_level" = 'Graduate' THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "m9"
+GROUP BY "enrolled_university"
+ORDER BY "condition_rate" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4088565feebc9016.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4088565feebc9016.sql
new file mode 100644
index 0000000000000000000000000000000000000000..6a5fcd225f0110aa00d89821301be54877dfa2fd
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4088565feebc9016.sql
@@ -0,0 +1,19 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_conditional_contrast
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m9_4088565feebc9016
+-- problem_id: v2p_m9_93ab0d62b0d41c6e
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "company_size",
+  SUM(CAST(NULLIF("city_development_index", '') AS REAL)) AS "total_measure"
+FROM "m9"
+GROUP BY "company_size"
+ORDER BY "total_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_41247a499a22dd8c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_41247a499a22dd8c.sql
new file mode 100644
index 0000000000000000000000000000000000000000..2cd2cc4011f9ee11f1145dbb232aabbebbf3b049
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_41247a499a22dd8c.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: high_cardinality_response_stability
+-- intended_facet_id: target_cardinality_cross_section
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_cardinality_high_card_response_stability
+-- query_record_id: v2q_m9_41247a499a22dd8c
+-- problem_id: v2p_m9_90110f8d84570d1d
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "enrollee_id",
+    COUNT(*) AS support,
+    AVG("training_hours") AS avg_response
+FROM "m9"
+GROUP BY "enrollee_id"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_41350f98b5babc7a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_41350f98b5babc7a.sql
new file mode 100644
index 0000000000000000000000000000000000000000..ee5e2a4438e28a8fcb0ed7f1185f93fb523e94a2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_41350f98b5babc7a.sql
@@ -0,0 +1,22 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_m4_quantile_tail_slice
+-- query_record_id: v2q_m9_41350f98b5babc7a
+-- problem_id: v2p_m9_2648fb534f046b0e
+-- realization_mode: agent
+-- source_kind: agent
+WITH buckets AS (
+    SELECT "enrollee_id",
+           NTILE(10) OVER (ORDER BY CAST("enrollee_id" AS INTEGER) DESC) AS tail_bucket
+    FROM "m9"
+)
+SELECT "enrollee_id"
+FROM buckets
+WHERE tail_bucket = 1
+ORDER BY CAST("enrollee_id" AS INTEGER) DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_44ce333f71e09544.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_44ce333f71e09544.sql
new file mode 100644
index 0000000000000000000000000000000000000000..d11898fce90eaf6359fe27b087bf7b751c634e8d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_44ce333f71e09544.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_rate_by_subgroup
+-- variant_semantic_role: missing_rate_by_subgroup
+-- template_id: tpl_missing_rate_by_subgroup
+-- query_record_id: v2q_m9_44ce333f71e09544
+-- problem_id: v2p_m9_6ff4bb8832d09dc9
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "company_size",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "education_level" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "education_level" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "company_size"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4531ca1fc3c328c5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4531ca1fc3c328c5.sql
new file mode 100644
index 0000000000000000000000000000000000000000..abfb5d076ae92bc19622061bbcc66d58e63b2b25
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4531ca1fc3c328c5.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: high_cardinality_response_stability
+-- intended_facet_id: target_cardinality_cross_section
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_cardinality_high_card_response_stability
+-- query_record_id: v2q_m9_4531ca1fc3c328c5
+-- problem_id: v2p_m9_d79a90bcdb8733e6
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "experience",
+    COUNT(*) AS support,
+    AVG("training_hours") AS avg_response
+FROM "m9"
+GROUP BY "experience"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4531ecc9489cfc03.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4531ecc9489cfc03.sql
new file mode 100644
index 0000000000000000000000000000000000000000..a976145b0ab35f82f8b420b2f8d841b9796e03fb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4531ecc9489cfc03.sql
@@ -0,0 +1,19 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_4531ecc9489cfc03
+-- problem_id: v2p_m9_e4f7b46472318e50
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "education_level",
+  AVG(CASE WHEN "major_discipline" = 'STEM' THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "m9"
+GROUP BY "education_level"
+ORDER BY "condition_rate" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4648f676e11eb886.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4648f676e11eb886.sql
new file mode 100644
index 0000000000000000000000000000000000000000..4cb7aa66e67ca57d08324cfe7319ad9256b49de6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4648f676e11eb886.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_m4_quantile_tail_slice
+-- query_record_id: v2q_m9_4648f676e11eb886
+-- problem_id: v2p_m9_92dea60cbda1093d
+-- realization_mode: agent
+-- source_kind: agent
+WITH "buckets" AS (
+  SELECT
+    "city_development_index",
+    NTILE(10) OVER (ORDER BY CAST("city_development_index" AS REAL) DESC) AS "tail_bucket"
+  FROM "m9"
+  WHERE "city_development_index" IS NOT NULL
+    AND "city_development_index" <> ''
+)
+SELECT "city_development_index"
+FROM "buckets"
+WHERE "tail_bucket" = 1
+ORDER BY CAST("city_development_index" AS REAL) DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4706c75934b09268.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4706c75934b09268.sql
new file mode 100644
index 0000000000000000000000000000000000000000..06248691b44f130bd4f788a8ad62893d976cbdee
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4706c75934b09268.sql
@@ -0,0 +1,34 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_4706c75934b09268
+-- problem_id: v2p_m9_c05e8639eebd70bf
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+  SELECT
+    "major_discipline",
+    SUM(CAST("training_hours" AS REAL)) AS "group_value"
+  FROM "m9"
+  WHERE "major_discipline" IS NOT NULL
+    AND "major_discipline" <> ''
+    AND "training_hours" IS NOT NULL
+    AND "training_hours" <> ''
+  GROUP BY "major_discipline"
+), total AS (
+  SELECT SUM("group_value") AS "total_value"
+  FROM grouped
+)
+SELECT
+  g."major_discipline",
+  g."group_value"
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g."group_value" > t."total_value" * 0.1
+ORDER BY g."group_value" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4c8980cb676340ca.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4c8980cb676340ca.sql
new file mode 100644
index 0000000000000000000000000000000000000000..efbd3f2eeb102293505b0e78155fae755bc8510d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4c8980cb676340ca.sql
@@ -0,0 +1,66 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_m9_4c8980cb676340ca
+-- problem_id: v2p_m9_2cb0394c0800c8dd
+-- realization_mode: agent
+-- source_kind: agent
+WITH "ranked" AS (
+  SELECT
+    "experience",
+    CAST("enrollee_id" AS REAL) AS "measure_value",
+    ROW_NUMBER() OVER (
+      PARTITION BY "experience"
+      ORDER BY CAST("enrollee_id" AS REAL)
+    ) AS "rn",
+    COUNT(*) OVER (
+      PARTITION BY "experience"
+    ) AS "cnt"
+  FROM "m9"
+  WHERE "experience" IS NOT NULL
+    AND "experience" <> ''
+    AND "enrollee_id" IS NOT NULL
+    AND "enrollee_id" <> ''
+),
+"bounds" AS (
+  SELECT DISTINCT
+    "experience",
+    (1.0 + (0.95 * ("cnt" - 1))) AS "rank_pos",
+    CAST((1.0 + (0.95 * ("cnt" - 1))) AS INTEGER) AS "lower_rn",
+    CASE
+      WHEN (1.0 + (0.95 * ("cnt" - 1))) = CAST((1.0 + (0.95 * ("cnt" - 1))) AS INTEGER)
+        THEN CAST((1.0 + (0.95 * ("cnt" - 1))) AS INTEGER)
+      ELSE CAST((1.0 + (0.95 * ("cnt" - 1))) AS INTEGER) + 1
+    END AS "upper_rn"
+  FROM "ranked"
+),
+"points" AS (
+  SELECT
+    "b"."experience",
+    "b"."lower_rn",
+    "b"."upper_rn",
+    ("b"."rank_pos" - "b"."lower_rn") AS "frac",
+    "lr"."measure_value" AS "lower_value",
+    "ur"."measure_value" AS "upper_value"
+  FROM "bounds" AS "b"
+  JOIN "ranked" AS "lr"
+    ON "lr"."experience" = "b"."experience"
+   AND "lr"."rn" = "b"."lower_rn"
+  JOIN "ranked" AS "ur"
+    ON "ur"."experience" = "b"."experience"
+   AND "ur"."rn" = "b"."upper_rn"
+)
+SELECT
+  "experience",
+  CASE
+    WHEN "lower_rn" = "upper_rn" THEN "lower_value"
+    ELSE "lower_value" + "frac" * ("upper_value" - "lower_value")
+  END AS "percentile_measure"
+FROM "points"
+ORDER BY "percentile_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4e6a7a50e53f1c56.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4e6a7a50e53f1c56.sql
new file mode 100644
index 0000000000000000000000000000000000000000..2fe043b9b92a891a1a78f1434a6430c025330146
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4e6a7a50e53f1c56.sql
@@ -0,0 +1,27 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_4e6a7a50e53f1c56
+-- problem_id: v2p_m9_b049b4a2b0cafb1f
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "major_discipline",
+  "enrollee_id",
+  SUM(CAST("training_hours" AS REAL)) AS "total_measure",
+  SUM(CAST("training_hours" AS REAL)) * 100.0 / SUM(SUM(CAST("training_hours" AS REAL))) OVER (PARTITION BY "major_discipline") AS "share_within_group"
+FROM "m9"
+WHERE "major_discipline" IS NOT NULL
+  AND "major_discipline" <> ''
+  AND "enrollee_id" IS NOT NULL
+  AND "enrollee_id" <> ''
+  AND "training_hours" IS NOT NULL
+  AND "training_hours" <> ''
+GROUP BY "major_discipline", "enrollee_id"
+ORDER BY "share_within_group" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4e81ee75bd0cd154.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4e81ee75bd0cd154.sql
new file mode 100644
index 0000000000000000000000000000000000000000..97a2f87c33209ed504950d7ae53c5c6a1405e516
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4e81ee75bd0cd154.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_m9_4e81ee75bd0cd154
+-- problem_id: v2p_m9_6eb32934bd94abd4
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "major_discipline" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "major_discipline"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4fe32b6b75ad6eae.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4fe32b6b75ad6eae.sql
new file mode 100644
index 0000000000000000000000000000000000000000..4ba03adb38facf1b1831f301d2ed681b519c64fa
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_4fe32b6b75ad6eae.sql
@@ -0,0 +1,35 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_m9_4fe32b6b75ad6eae
+-- problem_id: v2p_m9_0e03de9ffb92066e
+-- realization_mode: agent
+-- source_kind: agent
+WITH ranked AS (
+  SELECT
+    "gender",
+    CAST("city_development_index" AS REAL) AS "measure_value",
+    ROW_NUMBER() OVER (
+      PARTITION BY "gender"
+      ORDER BY CAST("city_development_index" AS REAL)
+    ) AS "rn",
+    COUNT(*) OVER (PARTITION BY "gender") AS "cnt"
+  FROM "m9"
+  WHERE "gender" IS NOT NULL
+    AND "gender" <> ''
+    AND "city_development_index" IS NOT NULL
+    AND "city_development_index" <> ''
+)
+SELECT
+  "gender",
+  MIN("measure_value") AS "percentile_measure"
+FROM ranked
+WHERE CAST("rn" AS REAL) / "cnt" >= 0.9
+GROUP BY "gender"
+ORDER BY "percentile_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_504cec37ca19abaa.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_504cec37ca19abaa.sql
new file mode 100644
index 0000000000000000000000000000000000000000..dc37870cf32db1f99d53da9a6025c81eb2ea7c5c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_504cec37ca19abaa.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_504cec37ca19abaa
+-- problem_id: v2p_m9_c74c92ba50a00068
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "major_discipline",
+  "enrollee_id",
+  SUM(CAST(NULLIF("training_hours", '') AS REAL)) AS total_measure,
+  SUM(CAST(NULLIF("training_hours", '') AS REAL)) * 100.0
+    / SUM(SUM(CAST(NULLIF("training_hours", '') AS REAL))) OVER (PARTITION BY "major_discipline") AS share_within_group
+FROM "m9"
+WHERE NULLIF("major_discipline", '') IS NOT NULL
+  AND NULLIF("enrollee_id", '') IS NOT NULL
+  AND NULLIF("training_hours", '') IS NOT NULL
+GROUP BY "major_discipline", "enrollee_id"
+ORDER BY share_within_group DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_5157bef19897be56.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_5157bef19897be56.sql
new file mode 100644
index 0000000000000000000000000000000000000000..ded0b3ba26706e11458333f4728b8bbd13b9cfd7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_5157bef19897be56.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: high_cardinality_response_stability
+-- intended_facet_id: target_cardinality_cross_section
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_cardinality_high_card_response_stability
+-- query_record_id: v2q_m9_5157bef19897be56
+-- problem_id: v2p_m9_18318667be0a1a13
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "training_hours",
+    COUNT(*) AS support,
+    AVG("city_development_index") AS avg_response
+FROM "m9"
+GROUP BY "training_hours"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_52930b19a0530d19.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_52930b19a0530d19.sql
new file mode 100644
index 0000000000000000000000000000000000000000..e98afffe260764ad2a5a7abed32658b3c3e602e8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_52930b19a0530d19.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: subgroup_size_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_clickbench_group_count
+-- query_record_id: v2q_m9_52930b19a0530d19
+-- problem_id: v2p_m9_4956e6a19843522d
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "experience", COUNT(*) AS row_count
+FROM "m9"
+GROUP BY "experience"
+ORDER BY row_count DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_54e2ae1c7a2dc453.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_54e2ae1c7a2dc453.sql
new file mode 100644
index 0000000000000000000000000000000000000000..345c723f87bcd0d6d804e76fc28f9cfc4cd04e87
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_54e2ae1c7a2dc453.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: subgroup_size_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_clickbench_group_count
+-- query_record_id: v2q_m9_54e2ae1c7a2dc453
+-- problem_id: v2p_m9_e4ea32b3149c89ce
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "enrolled_university", COUNT(*) AS row_count
+FROM "m9"
+GROUP BY "enrolled_university"
+ORDER BY row_count DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_557d0de19d5251a0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_557d0de19d5251a0.sql
new file mode 100644
index 0000000000000000000000000000000000000000..3878ac6e770c766d9b03dd9794dd9f0c400b374c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_557d0de19d5251a0.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_557d0de19d5251a0
+-- problem_id: v2p_m9_c949dabb3b97f4b3
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "company_size",
+  "city_development_index",
+  SUM(CAST("city_development_index" AS REAL)) AS total_measure,
+  SUM(CAST("city_development_index" AS REAL)) * 100.0 / SUM(SUM(CAST("city_development_index" AS REAL))) OVER (PARTITION BY "company_size") AS share_within_group
+FROM "m9"
+WHERE "company_size" IS NOT NULL
+  AND "company_size" <> ''
+  AND "city_development_index" IS NOT NULL
+  AND "city_development_index" <> ''
+GROUP BY "company_size", "city_development_index"
+ORDER BY share_within_group DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_559d61ebf9e1508e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_559d61ebf9e1508e.sql
new file mode 100644
index 0000000000000000000000000000000000000000..f00ccd7e506202d9d3dfa296334f288ca2eec3fe
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_559d61ebf9e1508e.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_m9_559d61ebf9e1508e
+-- problem_id: v2p_m9_77179262aeb5aab2
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "experience", "company_type", COUNT(*) AS row_count
+FROM "m9"
+WHERE "company_type" = 'Public Sector'
+GROUP BY "experience", "company_type"
+ORDER BY row_count DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_5657ae760fe9fa94.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_5657ae760fe9fa94.sql
new file mode 100644
index 0000000000000000000000000000000000000000..c57a3a99ac630d98add2bef00fb28e291d5994f0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_5657ae760fe9fa94.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m9_5657ae760fe9fa94
+-- problem_id: v2p_m9_5db7699c8717ec6a
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "target",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "gender" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "gender" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "target"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_57d4ee48d966d7de.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_57d4ee48d966d7de.sql
new file mode 100644
index 0000000000000000000000000000000000000000..ea43cf50fec818f2510781d501e96bce42aeb30b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_57d4ee48d966d7de.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_cardinality_distinct_share_profile
+-- query_record_id: v2q_m9_57d4ee48d966d7de
+-- problem_id: v2p_m9_dbd40defc53572b7
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "gender" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "gender"
+), ranked AS (
+    SELECT
+        value_label,
+        support,
+        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
+    FROM grouped
+)
+SELECT *
+FROM ranked
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_597b6d9c0b646dbe.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_597b6d9c0b646dbe.sql
new file mode 100644
index 0000000000000000000000000000000000000000..57d003fd869815a560fe0bbf4eca955d1d832b93
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_597b6d9c0b646dbe.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_rate_by_subgroup
+-- variant_semantic_role: missing_rate_by_subgroup
+-- template_id: tpl_missing_rate_by_subgroup
+-- query_record_id: v2q_m9_597b6d9c0b646dbe
+-- problem_id: v2p_m9_a1e12e39ff4e77d1
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "city_development_index",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "gender" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "gender" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "city_development_index"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_59ffdbe430c482fa.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_59ffdbe430c482fa.sql
new file mode 100644
index 0000000000000000000000000000000000000000..ebf81b4de0ebf90aad8196dac410bfcadea8e1bd
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_59ffdbe430c482fa.sql
@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tail_low_support_group_count_v2
+-- query_record_id: v2q_m9_59ffdbe430c482fa
+-- problem_id: v2p_m9_0dda3783c49c7eac
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "enrolled_university",
+  COUNT(*) AS "support"
+FROM "m9"
+GROUP BY "enrolled_university"
+ORDER BY "support" ASC, "enrolled_university"
+LIMIT 13;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_5a6c150bef37dcbf.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_5a6c150bef37dcbf.sql
new file mode 100644
index 0000000000000000000000000000000000000000..e8a28408ae90370e0d9d3aaeafc64d9b376d9d8f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_5a6c150bef37dcbf.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_5a6c150bef37dcbf
+-- problem_id: v2p_m9_84eae77fd7321a03
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "major_discipline",
+       AVG(CASE WHEN "company_type" = '' THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "m9"
+GROUP BY "major_discipline"
+ORDER BY "condition_rate" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_5b13630789372daa.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_5b13630789372daa.sql
new file mode 100644
index 0000000000000000000000000000000000000000..287c506c8b2f0c78851dd8ac979332b80151556a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_5b13630789372daa.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_conditional_contrast
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m9_5b13630789372daa
+-- problem_id: v2p_m9_b9dfed4189077979
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "major_discipline", SUM(CAST("training_hours" AS REAL)) AS "total_measure"
+FROM "m9"
+GROUP BY "major_discipline"
+ORDER BY "total_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_5f37dad254f68ca7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_5f37dad254f68ca7.sql
new file mode 100644
index 0000000000000000000000000000000000000000..944ca29f3302dfc4df1c233adb7e158898937b8b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_5f37dad254f68ca7.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_m9_5f37dad254f68ca7
+-- problem_id: v2p_m9_d28478077355b130
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "city_development_index" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "city_development_index"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_621bdf69106a1056.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_621bdf69106a1056.sql
new file mode 100644
index 0000000000000000000000000000000000000000..364c61576168b5482378203a605ff2a044bb1ca0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_621bdf69106a1056.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_rate_by_subgroup
+-- variant_semantic_role: missing_rate_by_subgroup
+-- template_id: tpl_missing_rate_by_subgroup
+-- query_record_id: v2q_m9_621bdf69106a1056
+-- problem_id: v2p_m9_9c35cd9d5b2564f9
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "enrolled_university",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "major_discipline" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "major_discipline" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "enrolled_university"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_632ae20f9a8d55ae.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_632ae20f9a8d55ae.sql
new file mode 100644
index 0000000000000000000000000000000000000000..ffd5dab3a8ec1f6a80e30c7eb41c7834e2a72e6e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_632ae20f9a8d55ae.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_632ae20f9a8d55ae
+-- problem_id: v2p_m9_723a00dfb1991273
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "enrolled_university",
+       AVG(CASE WHEN "education_level" = 'Masters' THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "m9"
+GROUP BY "enrolled_university"
+ORDER BY "condition_rate" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_67062e771bd03332.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_67062e771bd03332.sql
new file mode 100644
index 0000000000000000000000000000000000000000..3cc35072f8ef5e65e45f6937b11dd9df830e854a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_67062e771bd03332.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_m9_67062e771bd03332
+-- problem_id: v2p_m9_b1b110ea230102d9
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "gender" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "gender"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_6909d77828375a90.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_6909d77828375a90.sql
new file mode 100644
index 0000000000000000000000000000000000000000..972ded21b2e582fb19c95cc413eb8b671dd70064
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_6909d77828375a90.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_cardinality_distinct_share_profile
+-- query_record_id: v2q_m9_6909d77828375a90
+-- problem_id: v2p_m9_1b2de87f603040cf
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "target" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "target"
+), ranked AS (
+    SELECT
+        value_label,
+        support,
+        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
+    FROM grouped
+)
+SELECT *
+FROM ranked
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_6c2ddb39431f1a3e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_6c2ddb39431f1a3e.sql
new file mode 100644
index 0000000000000000000000000000000000000000..f125dd4c760b239380ac801bd45d21fecd531f3f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_6c2ddb39431f1a3e.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m9_6c2ddb39431f1a3e
+-- problem_id: v2p_m9_9df64801abc33a62
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "major_discipline",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "experience" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "experience" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "major_discipline"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_6cf5e89b29502c24.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_6cf5e89b29502c24.sql
new file mode 100644
index 0000000000000000000000000000000000000000..f7e192b9cef5deb4ffa1cd18ae694bd39ab7b187
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_6cf5e89b29502c24.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_6cf5e89b29502c24
+-- problem_id: v2p_m9_64a9d9cdae909d9a
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "relevent_experience",
+       AVG(CASE WHEN "enrolled_university" = 'Full time course' THEN 1 ELSE 0 END) AS condition_rate
+FROM "m9"
+GROUP BY "relevent_experience"
+ORDER BY condition_rate DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_6e7e6c4413c14105.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_6e7e6c4413c14105.sql
new file mode 100644
index 0000000000000000000000000000000000000000..13245c8c1d7b12340219c2cf6f8e6cf64a2d7c56
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_6e7e6c4413c14105.sql
@@ -0,0 +1,15 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_threshold_rarity_cdf
+-- query_record_id: v2q_m9_6e7e6c4413c14105
+-- problem_id: v2p_m9_b68635792aa075da
+-- realization_mode: agent
+-- source_kind: agent
+SELECT AVG(CASE WHEN CAST("enrollee_id" AS REAL) <= 25169.75 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold
+FROM "m9";
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_6e80fcf66868f9be.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_6e80fcf66868f9be.sql
new file mode 100644
index 0000000000000000000000000000000000000000..33baf2ddb854e1ba165d7d739ce85eabbba21052
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_6e80fcf66868f9be.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_m9_6e80fcf66868f9be
+-- problem_id: v2p_m9_f330c76855cfd712
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "experience", "target", COUNT(*) AS row_count
+FROM "m9"
+WHERE "target" = '1.0'
+GROUP BY "experience", "target"
+ORDER BY row_count DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_723cc72387b35247.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_723cc72387b35247.sql
new file mode 100644
index 0000000000000000000000000000000000000000..5ad741201c50971ed6f69566e9e3b611bc87f592
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_723cc72387b35247.sql
@@ -0,0 +1,31 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_723cc72387b35247
+-- problem_id: v2p_m9_fa6df41823470de6
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+    SELECT
+        "city_development_index",
+        COUNT("enrollee_id") AS "group_value"
+    FROM "m9"
+    GROUP BY "city_development_index"
+),
+"total" AS (
+    SELECT SUM("group_value") AS "total_value"
+    FROM "grouped"
+)
+SELECT
+    g."city_development_index",
+    g."group_value"
+FROM "grouped" AS g
+CROSS JOIN "total" AS t
+WHERE g."group_value" > t."total_value" * 0.1
+ORDER BY g."group_value" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_7294117e92cfa6f4.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_7294117e92cfa6f4.sql
new file mode 100644
index 0000000000000000000000000000000000000000..9636d0324236c2aefd450556549ee529e2df5235
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_7294117e92cfa6f4.sql
@@ -0,0 +1,19 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_7294117e92cfa6f4
+-- problem_id: v2p_m9_353502513aed335c
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "last_new_job", "training_hours",
+       SUM(CAST("enrollee_id" AS REAL)) AS total_measure,
+       SUM(CAST("enrollee_id" AS REAL)) * 100.0 / SUM(SUM(CAST("enrollee_id" AS REAL))) OVER (PARTITION BY "last_new_job") AS share_within_group
+FROM "m9"
+GROUP BY "last_new_job", "training_hours"
+ORDER BY share_within_group DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_72b6191fdbae7aa9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_72b6191fdbae7aa9.sql
new file mode 100644
index 0000000000000000000000000000000000000000..d84f489bdb5b522d32c56a2d1557cd6b514cd34e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_72b6191fdbae7aa9.sql
@@ -0,0 +1,65 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_m9_72b6191fdbae7aa9
+-- problem_id: v2p_m9_d1c73c1ca7ccb610
+-- realization_mode: agent
+-- source_kind: agent
+WITH "ordered" AS (
+  SELECT
+    "major_discipline",
+    CAST("training_hours" AS REAL) AS "training_hours_num",
+    ROW_NUMBER() OVER (
+      PARTITION BY "major_discipline"
+      ORDER BY CAST("training_hours" AS REAL)
+    ) AS "rn",
+    COUNT(*) OVER (
+      PARTITION BY "major_discipline"
+    ) AS "cnt"
+  FROM "m9"
+  WHERE "major_discipline" <> ''
+    AND "training_hours" <> ''
+),
+"bounds" AS (
+  SELECT DISTINCT
+    "major_discipline",
+    (1.0 + 0.9 * ("cnt" - 1)) AS "pos",
+    CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) AS "lower_rn",
+    CASE
+      WHEN (1.0 + 0.9 * ("cnt" - 1)) = CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER)
+        THEN CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER)
+      ELSE CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + 1
+    END AS "upper_rn"
+  FROM "ordered"
+),
+"picked" AS (
+  SELECT
+    b."major_discipline",
+    b."pos",
+    b."lower_rn",
+    b."upper_rn",
+    MAX(CASE WHEN o."rn" = b."lower_rn" THEN o."training_hours_num" END) AS "lower_val",
+    MAX(CASE WHEN o."rn" = b."upper_rn" THEN o."training_hours_num" END) AS "upper_val"
+  FROM "bounds" AS b
+  JOIN "ordered" AS o
+    ON o."major_discipline" = b."major_discipline"
+  GROUP BY
+    b."major_discipline",
+    b."pos",
+    b."lower_rn",
+    b."upper_rn"
+)
+SELECT
+  "major_discipline",
+  CASE
+    WHEN "lower_rn" = "upper_rn" THEN "lower_val"
+    ELSE "lower_val" + ("pos" - "lower_rn") * ("upper_val" - "lower_val")
+  END AS "percentile_measure"
+FROM "picked"
+ORDER BY "percentile_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_73725bcdc4e67730.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_73725bcdc4e67730.sql
new file mode 100644
index 0000000000000000000000000000000000000000..f1f885a26188b3d06db5d82abe9e7f152fb30340
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_73725bcdc4e67730.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m9_73725bcdc4e67730
+-- problem_id: v2p_m9_c4149a698c5ae9a8
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "city_development_index", SUM(CAST("enrollee_id" AS REAL)) AS total_measure
+FROM "m9"
+GROUP BY "city_development_index"
+ORDER BY total_measure DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_73740aaf7c2ea120.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_73740aaf7c2ea120.sql
new file mode 100644
index 0000000000000000000000000000000000000000..a71a31a82d78d79baa3b306edaf35b24dee338cb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_73740aaf7c2ea120.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_73740aaf7c2ea120
+-- problem_id: v2p_m9_c92d2255af37c253
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "experience",
+       AVG(CASE WHEN "last_new_job" = '>4' THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "m9"
+GROUP BY "experience"
+ORDER BY "condition_rate" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_743cc92f9aa7631e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_743cc92f9aa7631e.sql
new file mode 100644
index 0000000000000000000000000000000000000000..656fcb6bfdbddaaf717562a9b109ed793f15969d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_743cc92f9aa7631e.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_conditional_contrast
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m9_743cc92f9aa7631e
+-- problem_id: v2p_m9_5c387c17c43a68fe
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "relevent_experience", SUM(CAST(NULLIF("training_hours", '') AS REAL)) AS "total_measure"
+FROM "m9"
+GROUP BY "relevent_experience"
+ORDER BY "total_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_74b807ac0a624b86.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_74b807ac0a624b86.sql
new file mode 100644
index 0000000000000000000000000000000000000000..308b08f0c6126a190911958a3fc8049cd5d385b2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_74b807ac0a624b86.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_m9_74b807ac0a624b86
+-- problem_id: v2p_m9_a7b43d248887fd3a
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "education_level" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "education_level"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_77b490249310f127.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_77b490249310f127.sql
new file mode 100644
index 0000000000000000000000000000000000000000..b86e8d153d6197088f639074f34e2db293525004
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_77b490249310f127.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: marginal_missing_rate_consistency
+-- intended_facet_id: missing_indicator_distribution
+-- variant_semantic_role: missing_indicator_view
+-- template_id: tpl_missing_marginal_rate_profile
+-- query_record_id: v2q_m9_77b490249310f127
+-- problem_id: v2p_m9_4fe58742644c2da1
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "last_new_job" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "last_new_job" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9";
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_7917a66b4fa7b3ce.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_7917a66b4fa7b3ce.sql
new file mode 100644
index 0000000000000000000000000000000000000000..15ead9cef61a100df698600b08ab012cda05d338
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_7917a66b4fa7b3ce.sql
@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_7917a66b4fa7b3ce
+-- problem_id: v2p_m9_5f15db5e3a3eb851
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "education_level",
+  "training_hours",
+  SUM(CAST("city_development_index" AS REAL)) AS total_measure,
+  SUM(CAST("city_development_index" AS REAL)) * 100.0 /
+    SUM(SUM(CAST("city_development_index" AS REAL))) OVER (PARTITION BY "education_level") AS share_within_group
+FROM "m9"
+WHERE "education_level" <> ''
+  AND "training_hours" <> ''
+  AND "city_development_index" <> ''
+GROUP BY "education_level", "training_hours"
+ORDER BY share_within_group DESC
+LIMIT 13;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_79a68ff2ed0f5dab.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_79a68ff2ed0f5dab.sql
new file mode 100644
index 0000000000000000000000000000000000000000..d6bcea7220e0bcf3fe3a34d50643e24f790e309c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_79a68ff2ed0f5dab.sql
@@ -0,0 +1,31 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_79a68ff2ed0f5dab
+-- problem_id: v2p_m9_4f31cb710e439d9f
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+  SELECT
+    "company_size",
+    SUM(CAST(NULLIF("city_development_index", '') AS REAL)) AS "group_value"
+  FROM "m9"
+  GROUP BY "company_size"
+),
+"total" AS (
+  SELECT SUM("group_value") AS "total_value"
+  FROM "grouped"
+)
+SELECT
+  g."company_size",
+  g."group_value"
+FROM "grouped" AS g
+CROSS JOIN "total" AS t
+WHERE g."group_value" > t."total_value" * 0.05
+ORDER BY g."group_value" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_7f9287843a434536.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_7f9287843a434536.sql
new file mode 100644
index 0000000000000000000000000000000000000000..73915d7f1f6b4de265e02020dd8146236d9a6adb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_7f9287843a434536.sql
@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_m4_quantile_tail_slice
+-- query_record_id: v2q_m9_7f9287843a434536
+-- problem_id: v2p_m9_6f46d4d36e4dbb19
+-- realization_mode: agent
+-- source_kind: agent
+WITH "buckets" AS (
+  SELECT
+    "city_development_index",
+    NTILE(10) OVER (
+      ORDER BY CAST(NULLIF("city_development_index", '') AS REAL) DESC
+    ) AS "tail_bucket"
+  FROM "m9"
+  WHERE NULLIF("city_development_index", '') IS NOT NULL
+)
+SELECT "city_development_index"
+FROM "buckets"
+WHERE "tail_bucket" = 1
+ORDER BY CAST("city_development_index" AS REAL) DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_81beacc59d5e11f6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_81beacc59d5e11f6.sql
new file mode 100644
index 0000000000000000000000000000000000000000..9f29e2043f99b81b6a70c270dff3cce5bceaf260
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_81beacc59d5e11f6.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m9_81beacc59d5e11f6
+-- problem_id: v2p_m9_9c5bbf3c84f98fcd
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "enrolled_university",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "major_discipline" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "major_discipline" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "enrolled_university"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_82ef950d3fba8a15.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_82ef950d3fba8a15.sql
new file mode 100644
index 0000000000000000000000000000000000000000..5f0468a8aed43e1931b3b7bfc0c8211236a00e3b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_82ef950d3fba8a15.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_rank_order
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m9_82ef950d3fba8a15
+-- problem_id: v2p_m9_00b524d8e6e4c3d5
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "company_size", SUM(CAST("city_development_index" AS REAL)) AS total_measure
+FROM "m9"
+GROUP BY "company_size"
+ORDER BY total_measure DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_830dffe61f3471d1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_830dffe61f3471d1.sql
new file mode 100644
index 0000000000000000000000000000000000000000..2fc68325284c1fbcce2ff3b13c0e5135869b8b38
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_830dffe61f3471d1.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_830dffe61f3471d1
+-- problem_id: v2p_m9_5c4afe90ed8f0a01
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "experience",
+       AVG(CASE WHEN "last_new_job" = '1' THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "m9"
+GROUP BY "experience"
+ORDER BY "condition_rate" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_84a228608f5fb357.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_84a228608f5fb357.sql
new file mode 100644
index 0000000000000000000000000000000000000000..77362ee351630fb7f0cebc18d08b87a4b5dfe075
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_84a228608f5fb357.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_m9_84a228608f5fb357
+-- problem_id: v2p_m9_0facee1738c58fa6
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "training_hours" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "training_hours"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_87b197a7201ecee2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_87b197a7201ecee2.sql
new file mode 100644
index 0000000000000000000000000000000000000000..6662897c588bbdbe518e99e99e75e1093d2081da
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_87b197a7201ecee2.sql
@@ -0,0 +1,15 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_threshold_rarity_cdf
+-- query_record_id: v2q_m9_87b197a7201ecee2
+-- problem_id: v2p_m9_3fb04db5d5566b3a
+-- realization_mode: agent
+-- source_kind: agent
+SELECT AVG(CASE WHEN CAST(NULLIF("city_development_index", '') AS REAL) <= 0.92 THEN 1.0 WHEN NULLIF("city_development_index", '') IS NOT NULL THEN 0.0 END) AS "empirical_cdf_at_threshold"
+FROM "m9";
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_87c5d58615f920e6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_87c5d58615f920e6.sql
new file mode 100644
index 0000000000000000000000000000000000000000..2f774c481c440645fa62176560b353aeb088b58a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_87c5d58615f920e6.sql
@@ -0,0 +1,30 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_87c5d58615f920e6
+-- problem_id: v2p_m9_b742ed125d6eeedf
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "company_size", SUM(CAST("city_development_index" AS REAL)) AS "group_value"
+    FROM "m9"
+    WHERE "company_size" IS NOT NULL
+      AND "company_size" <> ''
+      AND "city_development_index" IS NOT NULL
+      AND "city_development_index" <> ''
+    GROUP BY "company_size"
+), total AS (
+    SELECT SUM("group_value") AS "total_value"
+    FROM grouped
+)
+SELECT g."company_size", g."group_value"
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g."group_value" > t."total_value" * 0.1
+ORDER BY g."group_value" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_893dba06558177eb.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_893dba06558177eb.sql
new file mode 100644
index 0000000000000000000000000000000000000000..6f6cf6754a3d8bdac57338e9c777c09edc25647d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_893dba06558177eb.sql
@@ -0,0 +1,30 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_893dba06558177eb
+-- problem_id: v2p_m9_3042be475e96dc6d
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+    SELECT
+        "enrolled_university",
+        COUNT("enrollee_id") AS "group_value"
+    FROM "m9"
+    GROUP BY "enrolled_university"
+), "total" AS (
+    SELECT SUM("group_value") AS "total_value"
+    FROM "grouped"
+)
+SELECT
+    g."enrolled_university",
+    g."group_value"
+FROM "grouped" AS g
+CROSS JOIN "total" AS t
+WHERE g."group_value" > t."total_value" * 0.05
+ORDER BY g."group_value" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_89ee3c52650d6acc.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_89ee3c52650d6acc.sql
new file mode 100644
index 0000000000000000000000000000000000000000..3bfd0e0ef24755fbf022b3a7872bdbc8d8c5b8ea
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_89ee3c52650d6acc.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: high_cardinality_response_stability
+-- intended_facet_id: target_cardinality_cross_section
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_cardinality_high_card_response_stability
+-- query_record_id: v2q_m9_89ee3c52650d6acc
+-- problem_id: v2p_m9_ec460733570c96eb
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "experience",
+    COUNT(*) AS support,
+    AVG("city_development_index") AS avg_response
+FROM "m9"
+GROUP BY "experience"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_8d27057783abd9d0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_8d27057783abd9d0.sql
new file mode 100644
index 0000000000000000000000000000000000000000..d7982eb81fcd1f7ccf1ff5580d04b8b7700a297b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_8d27057783abd9d0.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_m9_8d27057783abd9d0
+-- problem_id: v2p_m9_14de420900f68ad2
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "major_discipline", "target", COUNT(*) AS row_count
+FROM "m9"
+WHERE "experience" = '4'
+GROUP BY "major_discipline", "target"
+ORDER BY row_count DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_8d50de70e555be2d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_8d50de70e555be2d.sql
new file mode 100644
index 0000000000000000000000000000000000000000..42603798cfec88c6eeb77f77814ebcfc4a8fb356
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_8d50de70e555be2d.sql
@@ -0,0 +1,19 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_8d50de70e555be2d
+-- problem_id: v2p_m9_aba65c8f3e941eb9
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "experience", "city",
+       COUNT("enrollee_id") AS total_measure,
+       COUNT("enrollee_id") * 100.0 / SUM(COUNT("enrollee_id")) OVER (PARTITION BY "experience") AS share_within_group
+FROM "m9"
+GROUP BY "experience", "city"
+ORDER BY share_within_group DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_8daba880f1fffdde.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_8daba880f1fffdde.sql
new file mode 100644
index 0000000000000000000000000000000000000000..212298ada4ec776fc4ad42fb5c4deef436dbb5b1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_8daba880f1fffdde.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_8daba880f1fffdde
+-- problem_id: v2p_m9_9552c166356fa58e
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "city_development_index",
+       AVG(CASE WHEN "gender" = 'Male' THEN 1 ELSE 0 END) AS condition_rate
+FROM "m9"
+GROUP BY "city_development_index"
+ORDER BY condition_rate DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_8f0dbc1969c2a7aa.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_8f0dbc1969c2a7aa.sql
new file mode 100644
index 0000000000000000000000000000000000000000..29c50e00cdb7ffd654f59d9044e87bc6a36b7c9f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_8f0dbc1969c2a7aa.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m9_8f0dbc1969c2a7aa
+-- problem_id: v2p_m9_257d6e3076babd19
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "last_new_job",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "company_size" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "company_size" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "last_new_job"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_929285095c6e54d3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_929285095c6e54d3.sql
new file mode 100644
index 0000000000000000000000000000000000000000..53112c80ee6f039426bdb8b81b89e606ce9fcb12
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_929285095c6e54d3.sql
@@ -0,0 +1,24 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_929285095c6e54d3
+-- problem_id: v2p_m9_47e216889c15f0bb
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "gender",
+  "city",
+  SUM(CAST("city_development_index" AS REAL)) AS total_measure,
+  SUM(CAST("city_development_index" AS REAL)) * 100.0 / SUM(SUM(CAST("city_development_index" AS REAL))) OVER (PARTITION BY "gender") AS share_within_group
+FROM "m9"
+WHERE "gender" <> ''
+  AND "city" <> ''
+  AND "city_development_index" <> ''
+GROUP BY "gender", "city"
+ORDER BY share_within_group DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_95a13eb726323bed.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_95a13eb726323bed.sql
new file mode 100644
index 0000000000000000000000000000000000000000..5e9974964f9c41ffaa9a5883164b80b01f86166e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_95a13eb726323bed.sql
@@ -0,0 +1,35 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_95a13eb726323bed
+-- problem_id: v2p_m9_9cf23e4558adc1d5
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+  SELECT
+    "gender",
+    SUM(CAST("city_development_index" AS REAL)) AS "group_value"
+  FROM "m9"
+  WHERE "gender" IS NOT NULL
+    AND "gender" <> ''
+    AND "city_development_index" IS NOT NULL
+    AND "city_development_index" <> ''
+  GROUP BY "gender"
+),
+"total" AS (
+  SELECT SUM("group_value") AS "total_value"
+  FROM "grouped"
+)
+SELECT
+  g."gender",
+  g."group_value"
+FROM "grouped" AS g
+CROSS JOIN "total" AS t
+WHERE g."group_value" > t."total_value" * 0.1
+ORDER BY g."group_value" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_96674019d933c5a1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_96674019d933c5a1.sql
new file mode 100644
index 0000000000000000000000000000000000000000..1beda98ab394e087baa7c2df9c1186d32b80923b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_96674019d933c5a1.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_m9_96674019d933c5a1
+-- problem_id: v2p_m9_92ab6314c940654b
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "experience", "company_size", COUNT(*) AS row_count
+FROM "m9"
+WHERE "company_size" = '10000+'
+GROUP BY "experience", "company_size"
+ORDER BY row_count DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_96766205f49fc86e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_96766205f49fc86e.sql
new file mode 100644
index 0000000000000000000000000000000000000000..1c508c53d281b387543c10877de71a287b233220
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_96766205f49fc86e.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m9_96766205f49fc86e
+-- problem_id: v2p_m9_2edbebef2f7d323b
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "relevent_experience", SUM(CAST(NULLIF("training_hours", '') AS REAL)) AS total_measure
+FROM "m9"
+GROUP BY "relevent_experience"
+ORDER BY total_measure DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_96bd9dabe9b751c0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_96bd9dabe9b751c0.sql
new file mode 100644
index 0000000000000000000000000000000000000000..4982b952b38c2299d37f35ab9b69f64e80dd63aa
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_96bd9dabe9b751c0.sql
@@ -0,0 +1,30 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_96bd9dabe9b751c0
+-- problem_id: v2p_m9_51677d8fa7b9dbab
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "relevent_experience", SUM(CAST("training_hours" AS REAL)) AS group_value
+    FROM "m9"
+    WHERE "relevent_experience" IS NOT NULL
+      AND TRIM("relevent_experience") <> ''
+      AND "training_hours" IS NOT NULL
+      AND TRIM("training_hours") <> ''
+    GROUP BY "relevent_experience"
+), total AS (
+    SELECT SUM(group_value) AS total_value
+    FROM grouped
+)
+SELECT g."relevent_experience", g.group_value
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g.group_value > t.total_value * 0.05
+ORDER BY g.group_value DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_97769e99c5051056.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_97769e99c5051056.sql
new file mode 100644
index 0000000000000000000000000000000000000000..18a4a5ed41ce5cca1c63c7da0c133ef748d362ef
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_97769e99c5051056.sql
@@ -0,0 +1,19 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_m9_97769e99c5051056
+-- problem_id: v2p_m9_c0d3b471062c277c
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "major_discipline", "last_new_job", COUNT(*) AS "row_count"
+FROM "m9"
+WHERE "education_level" = 'Graduate'
+GROUP BY "major_discipline", "last_new_job"
+ORDER BY "row_count" DESC
+LIMIT 13;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_97d9e1b7f3691dce.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_97d9e1b7f3691dce.sql
new file mode 100644
index 0000000000000000000000000000000000000000..49831e5c07d4cd01d6d4bd94733c1e2f69272e76
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_97d9e1b7f3691dce.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m9_97d9e1b7f3691dce
+-- problem_id: v2p_m9_bdf23f7f790c6bc1
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "experience", SUM(CAST("enrollee_id" AS NUMERIC)) AS total_measure
+FROM "m9"
+GROUP BY "experience"
+ORDER BY total_measure DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9971366f73dfa4e0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9971366f73dfa4e0.sql
new file mode 100644
index 0000000000000000000000000000000000000000..9544bd893f7a8ed3b04eaf8680b63aa9247408a9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9971366f73dfa4e0.sql
@@ -0,0 +1,24 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_m4_quantile_tail_slice
+-- query_record_id: v2q_m9_9971366f73dfa4e0
+-- problem_id: v2p_m9_184e016c4268d053
+-- realization_mode: agent
+-- source_kind: agent
+WITH buckets AS (
+    SELECT CAST("city_development_index" AS REAL) AS "city_development_index",
+           NTILE(10) OVER (ORDER BY CAST("city_development_index" AS REAL) DESC) AS "tail_bucket"
+    FROM "m9"
+    WHERE "city_development_index" IS NOT NULL
+      AND "city_development_index" <> ''
+)
+SELECT "city_development_index"
+FROM buckets
+WHERE "tail_bucket" = 1
+ORDER BY "city_development_index" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9b7e8c4cff94b0a1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9b7e8c4cff94b0a1.sql
new file mode 100644
index 0000000000000000000000000000000000000000..da17de272eb21820a4898d21068d8ec000e8b59d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9b7e8c4cff94b0a1.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_9b7e8c4cff94b0a1
+-- problem_id: v2p_m9_edfde1818c947604
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "gender",
+       AVG(CASE WHEN "relevent_experience" = 'No relevent experience' THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "m9"
+GROUP BY "gender"
+ORDER BY "condition_rate" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9be8234aca961fde.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9be8234aca961fde.sql
new file mode 100644
index 0000000000000000000000000000000000000000..5c48ed8d742fc754adeed44bca1251432dc2eb71
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9be8234aca961fde.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_conditional_contrast
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m9_9be8234aca961fde
+-- problem_id: v2p_m9_39fd41c86fa5d183
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "gender", SUM(CAST("city_development_index" AS REAL)) AS "total_measure"
+FROM "m9"
+GROUP BY "gender"
+ORDER BY "total_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9c716372c8e53d66.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9c716372c8e53d66.sql
new file mode 100644
index 0000000000000000000000000000000000000000..76f818f1613a994b277d8751e6a6357eb514d7c6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9c716372c8e53d66.sql
@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: contrastive_conditional_view
+-- template_id: tpl_m4_group_ratio_two_conditions
+-- query_record_id: v2q_m9_9c716372c8e53d66
+-- problem_id: v2p_m9_12773869fbbe36b2
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+    SELECT
+        "major_discipline",
+        SUM(CASE WHEN "relevent_experience" = 'Has relevent experience' THEN 1 ELSE 0 END) AS "numerator_count",
+        SUM(CASE WHEN "relevent_experience" = 'No relevent experience' THEN 1 ELSE 0 END) AS "denominator_count"
+    FROM "m9"
+    GROUP BY "major_discipline"
+)
+SELECT
+    "major_discipline",
+    CAST("numerator_count" AS FLOAT) / NULLIF("denominator_count", 0) AS "condition_ratio"
+FROM "grouped"
+ORDER BY "condition_ratio" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9d6bb29cc5632186.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9d6bb29cc5632186.sql
new file mode 100644
index 0000000000000000000000000000000000000000..21c44b3323d9fe54483857d9703f38e83db44bc8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9d6bb29cc5632186.sql
@@ -0,0 +1,35 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_9d6bb29cc5632186
+-- problem_id: v2p_m9_57bddf78ca6eea19
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+  SELECT
+    "city_development_index",
+    SUM(CAST("enrollee_id" AS REAL)) AS "group_value"
+  FROM "m9"
+  WHERE "city_development_index" IS NOT NULL
+    AND "city_development_index" <> ''
+    AND "enrollee_id" IS NOT NULL
+    AND "enrollee_id" <> ''
+  GROUP BY "city_development_index"
+),
+"total" AS (
+  SELECT SUM("group_value") AS "total_value"
+  FROM "grouped"
+)
+SELECT
+  g."city_development_index",
+  g."group_value"
+FROM "grouped" AS g
+CROSS JOIN "total" AS t
+WHERE g."group_value" > t."total_value" * 0.05
+ORDER BY g."group_value" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9d8239258a6175aa.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9d8239258a6175aa.sql
new file mode 100644
index 0000000000000000000000000000000000000000..e4df6d3df6c749e46c86e52d1be05b2a7ed4cb35
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9d8239258a6175aa.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: subgroup_size_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_clickbench_group_count
+-- query_record_id: v2q_m9_9d8239258a6175aa
+-- problem_id: v2p_m9_355755c337a84209
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "education_level", COUNT(*) AS row_count
+FROM "m9"
+GROUP BY "education_level"
+ORDER BY row_count DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9ddee0dec6f3f8f8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9ddee0dec6f3f8f8.sql
new file mode 100644
index 0000000000000000000000000000000000000000..ba6c921f96b792d95a295c89937a261fe132ddfb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9ddee0dec6f3f8f8.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_cardinality_distinct_share_profile
+-- query_record_id: v2q_m9_9ddee0dec6f3f8f8
+-- problem_id: v2p_m9_82be6ad2ef8fb62d
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "experience" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "experience"
+), ranked AS (
+    SELECT
+        value_label,
+        support,
+        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
+    FROM grouped
+)
+SELECT *
+FROM ranked
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9dfbc1f67913d660.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9dfbc1f67913d660.sql
new file mode 100644
index 0000000000000000000000000000000000000000..6e6c8952e4480df2a0c2af8a4d084a64e91563ea
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9dfbc1f67913d660.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_rate_by_subgroup
+-- variant_semantic_role: missing_rate_by_subgroup
+-- template_id: tpl_missing_rate_by_subgroup
+-- query_record_id: v2q_m9_9dfbc1f67913d660
+-- problem_id: v2p_m9_b70fb503bc5d22e3
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "enrolled_university",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "last_new_job" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "last_new_job" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "enrolled_university"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9e8ac55f8903ed27.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9e8ac55f8903ed27.sql
new file mode 100644
index 0000000000000000000000000000000000000000..bbed14319a567cc07fe8dad9857465b878868250
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_9e8ac55f8903ed27.sql
@@ -0,0 +1,66 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_m9_9e8ac55f8903ed27
+-- problem_id: v2p_m9_da8d66ff21bd779b
+-- realization_mode: agent
+-- source_kind: agent
+WITH "base" AS (
+  SELECT
+    "gender",
+    CAST("city_development_index" AS REAL) AS "measure"
+  FROM "m9"
+  WHERE "target" = '1.0'
+    AND "gender" <> ''
+    AND "city_development_index" <> ''
+),
+"ordered" AS (
+  SELECT
+    "gender",
+    "measure",
+    ROW_NUMBER() OVER (PARTITION BY "gender" ORDER BY "measure") AS "rn",
+    COUNT(*) OVER (PARTITION BY "gender") AS "cnt"
+  FROM "base"
+),
+"positions" AS (
+  SELECT DISTINCT
+    "gender",
+    "cnt",
+    (1.0 + ("cnt" - 1) * 0.95) AS "pos",
+    CAST((1.0 + ("cnt" - 1) * 0.95) AS INTEGER) AS "lower_rn",
+    CAST((1.0 + ("cnt" - 1) * 0.95) AS INTEGER) +
+      CASE
+        WHEN (1.0 + ("cnt" - 1) * 0.95) > CAST((1.0 + ("cnt" - 1) * 0.95) AS INTEGER) THEN 1
+        ELSE 0
+      END AS "upper_rn"
+  FROM "ordered"
+  WHERE "cnt" >= 5
+),
+"bounds" AS (
+  SELECT
+    p."gender",
+    p."cnt",
+    p."pos",
+    p."lower_rn",
+    p."upper_rn",
+    MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."measure" END) AS "lower_value",
+    MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."measure" END) AS "upper_value"
+  FROM "positions" AS p
+  JOIN "ordered" AS o
+    ON o."gender" = p."gender"
+  GROUP BY p."gender", p."cnt", p."pos", p."lower_rn", p."upper_rn"
+)
+SELECT
+  b."gender",
+  CASE
+    WHEN b."lower_rn" = b."upper_rn" THEN b."lower_value"
+    ELSE b."lower_value" + (b."pos" - b."lower_rn") * (b."upper_value" - b."lower_value")
+  END AS "percentile_measure"
+FROM "bounds" AS b
+ORDER BY "percentile_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a146e3f95ebe57d9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a146e3f95ebe57d9.sql
new file mode 100644
index 0000000000000000000000000000000000000000..6c7c126964a87b2d75766451844491964cb950b1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a146e3f95ebe57d9.sql
@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tail_low_support_group_count_v2
+-- query_record_id: v2q_m9_a146e3f95ebe57d9
+-- problem_id: v2p_m9_45cae1b64b0db0fe
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+    "major_discipline",
+    COUNT(*) AS "support"
+FROM "m9"
+GROUP BY "major_discipline"
+ORDER BY "support" ASC, "major_discipline"
+LIMIT 10;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a1b2831d70a04b8d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a1b2831d70a04b8d.sql
new file mode 100644
index 0000000000000000000000000000000000000000..fc2ff998e50a42704e2dd20e98767803b35fde47
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a1b2831d70a04b8d.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_m9_a1b2831d70a04b8d
+-- problem_id: v2p_m9_1468c735de432927
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "experience" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "experience"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a20d7d5089630fd8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a20d7d5089630fd8.sql
new file mode 100644
index 0000000000000000000000000000000000000000..63f794987a38affdcdec0590916d984e74ee7048
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a20d7d5089630fd8.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_m9_a20d7d5089630fd8
+-- problem_id: v2p_m9_450169c249142504
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "major_discipline", "training_hours", COUNT(*) AS row_count
+FROM "m9"
+WHERE "major_discipline" = 'STEM'
+GROUP BY "major_discipline", "training_hours"
+ORDER BY row_count DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a2d687442580ddb8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a2d687442580ddb8.sql
new file mode 100644
index 0000000000000000000000000000000000000000..5ba298d52e29e97315d4f11747867010263618d6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a2d687442580ddb8.sql
@@ -0,0 +1,24 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: contrastive_conditional_view
+-- template_id: tpl_m4_group_ratio_two_conditions
+-- query_record_id: v2q_m9_a2d687442580ddb8
+-- problem_id: v2p_m9_805b805d42f07077
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "education_level",
+           SUM(CASE WHEN "gender" = 'Male' THEN 1 ELSE 0 END) AS numerator_count,
+           SUM(CASE WHEN "gender" = '' THEN 1 ELSE 0 END) AS denominator_count
+    FROM "m9"
+    GROUP BY "education_level"
+)
+SELECT "education_level",
+       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio
+FROM grouped
+ORDER BY condition_ratio DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a324887aa577ef52.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a324887aa577ef52.sql
new file mode 100644
index 0000000000000000000000000000000000000000..5b9faa76a834496d3f544737832a7704f6e8348c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a324887aa577ef52.sql
@@ -0,0 +1,33 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_a324887aa577ef52
+-- problem_id: v2p_m9_85349abb956d915a
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+    SELECT
+        "company_type",
+        SUM(CAST("training_hours" AS REAL)) AS "group_value"
+    FROM "m9"
+    WHERE TRIM(COALESCE("company_type", '')) <> ''
+      AND TRIM(COALESCE("training_hours", '')) <> ''
+    GROUP BY "company_type"
+),
+"total" AS (
+    SELECT SUM("group_value") AS "total_value"
+    FROM "grouped"
+)
+SELECT
+    "g"."company_type",
+    "g"."group_value"
+FROM "grouped" AS "g"
+CROSS JOIN "total" AS "t"
+WHERE "g"."group_value" > "t"."total_value" * 0.05
+ORDER BY "g"."group_value" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a355308c25614b0f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a355308c25614b0f.sql
new file mode 100644
index 0000000000000000000000000000000000000000..8e4a17a15906a783b93f4331573134e185850c90
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a355308c25614b0f.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: high_cardinality_response_stability
+-- intended_facet_id: target_cardinality_cross_section
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_cardinality_high_card_response_stability
+-- query_record_id: v2q_m9_a355308c25614b0f
+-- problem_id: v2p_m9_e4be192fa22722bd
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "city",
+    COUNT(*) AS support,
+    AVG("city_development_index") AS avg_response
+FROM "m9"
+GROUP BY "city"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a5488c171fd419b7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a5488c171fd419b7.sql
new file mode 100644
index 0000000000000000000000000000000000000000..7af23ce5e4584e911c63e325c0ab42a95c5f3903
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a5488c171fd419b7.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_m9_a5488c171fd419b7
+-- problem_id: v2p_m9_b2657bb9381fba1a
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "last_new_job" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "last_new_job"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a5700007f628b14b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a5700007f628b14b.sql
new file mode 100644
index 0000000000000000000000000000000000000000..d6a39e2850c3e3df3feb7adbc80c18e6c05703ad
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a5700007f628b14b.sql
@@ -0,0 +1,19 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_rank_order
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m9_a5700007f628b14b
+-- problem_id: v2p_m9_6f6bfceaa978dedf
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "education_level",
+  SUM(CAST("city_development_index" AS REAL)) AS "total_measure"
+FROM "m9"
+GROUP BY "education_level"
+ORDER BY "total_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a5a15f9cee441912.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a5a15f9cee441912.sql
new file mode 100644
index 0000000000000000000000000000000000000000..ea57b9752aa9196b325eac9bbe59798a8dfc5a55
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a5a15f9cee441912.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m9_a5a15f9cee441912
+-- problem_id: v2p_m9_b618eeec34d03f6b
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "target",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "education_level" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "education_level" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "target"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a5cc86f444066e39.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a5cc86f444066e39.sql
new file mode 100644
index 0000000000000000000000000000000000000000..991c54f2a9c82389e0827f70816a0146d96e2f88
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a5cc86f444066e39.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_rank_order
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m9_a5cc86f444066e39
+-- problem_id: v2p_m9_cbdf9c3865cd4e42
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "city_development_index", SUM("enrollee_id") AS total_measure
+FROM "m9"
+GROUP BY "city_development_index"
+ORDER BY total_measure DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a6b27a42e81166a1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a6b27a42e81166a1.sql
new file mode 100644
index 0000000000000000000000000000000000000000..38c18ed73412a4802e94a7dfcf3ecffdd710b9ca
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_a6b27a42e81166a1.sql
@@ -0,0 +1,19 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_a6b27a42e81166a1
+-- problem_id: v2p_m9_e03c971eecbdb225
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "experience", "city",
+       SUM(CAST("enrollee_id" AS REAL)) AS total_measure,
+       SUM(CAST("enrollee_id" AS REAL)) * 100.0 / SUM(SUM(CAST("enrollee_id" AS REAL))) OVER (PARTITION BY "experience") AS share_within_group
+FROM "m9"
+GROUP BY "experience", "city"
+ORDER BY share_within_group DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_aaf6461496396e2e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_aaf6461496396e2e.sql
new file mode 100644
index 0000000000000000000000000000000000000000..0937723a58966d00290f553f3996176beea55e2c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_aaf6461496396e2e.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_aaf6461496396e2e
+-- problem_id: v2p_m9_49bad5766e39714b
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "company_size",
+       AVG(CASE WHEN "target" = '1.0' THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "m9"
+GROUP BY "company_size"
+ORDER BY "condition_rate" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_abb6bb384108ddce.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_abb6bb384108ddce.sql
new file mode 100644
index 0000000000000000000000000000000000000000..59ce427d82158d82b847a876e037d15bcf7230b2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_abb6bb384108ddce.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_cardinality_distinct_share_profile
+-- query_record_id: v2q_m9_abb6bb384108ddce
+-- problem_id: v2p_m9_fe1a73af9cfa172e
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "education_level" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "education_level"
+), ranked AS (
+    SELECT
+        value_label,
+        support,
+        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
+    FROM grouped
+)
+SELECT *
+FROM ranked
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_abdb029f7f0b96af.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_abdb029f7f0b96af.sql
new file mode 100644
index 0000000000000000000000000000000000000000..d8836875ce004267b4763efec226e02940d65410
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_abdb029f7f0b96af.sql
@@ -0,0 +1,47 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_abdb029f7f0b96af
+-- problem_id: v2p_m9_fdf38ba3d2c4d24c
+-- realization_mode: agent
+-- source_kind: agent
+WITH "base" AS (
+  SELECT
+    "company_type",
+    "experience",
+    CAST(TRIM("training_hours") AS REAL) AS "training_hours_value"
+  FROM "m9"
+  WHERE NULLIF(TRIM("company_type"), '') IS NOT NULL
+    AND NULLIF(TRIM("experience"), '') IS NOT NULL
+    AND NULLIF(TRIM("training_hours"), '') IS NOT NULL
+),
+"grouped" AS (
+  SELECT
+    "company_type",
+    "experience",
+    SUM("training_hours_value") AS "total_measure",
+    COUNT(*) AS "support"
+  FROM "base"
+  WHERE "company_type" IN (
+    SELECT "company_type"
+    FROM "base"
+    GROUP BY "company_type"
+    HAVING COUNT(*) >= 5
+  )
+  GROUP BY "company_type", "experience"
+  HAVING COUNT(*) >= 5
+)
+SELECT
+  "company_type",
+  "experience",
+  "total_measure",
+  "total_measure" * 100.0 / SUM("total_measure") OVER (PARTITION BY "company_type") AS "share_within_group"
+FROM "grouped"
+ORDER BY "share_within_group" DESC
+LIMIT 12;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_acf10704f127ded3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_acf10704f127ded3.sql
new file mode 100644
index 0000000000000000000000000000000000000000..b730451e89b3d7cf5a60858909116e77571c7a6d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_acf10704f127ded3.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m9_acf10704f127ded3
+-- problem_id: v2p_m9_3aa412614ff214c1
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "major_discipline",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "gender" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "gender" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "major_discipline"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_ad39db2dee95ced1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_ad39db2dee95ced1.sql
new file mode 100644
index 0000000000000000000000000000000000000000..89c9ff82edd8ac50cc119a71f7f514f38dd81c1a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_ad39db2dee95ced1.sql
@@ -0,0 +1,23 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_m4_quantile_tail_slice
+-- query_record_id: v2q_m9_ad39db2dee95ced1
+-- problem_id: v2p_m9_a6d3205e059802fe
+-- realization_mode: agent
+-- source_kind: agent
+WITH "buckets" AS (
+    SELECT
+        "enrollee_id",
+        NTILE(10) OVER (ORDER BY CAST("enrollee_id" AS INTEGER) DESC) AS "tail_bucket"
+    FROM "m9"
+)
+SELECT "enrollee_id"
+FROM "buckets"
+WHERE "tail_bucket" = 1
+ORDER BY CAST("enrollee_id" AS INTEGER) DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_ae2b1f0db34ea4db.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_ae2b1f0db34ea4db.sql
new file mode 100644
index 0000000000000000000000000000000000000000..2ad2c3ce36eda7c0c757d92725004becdfe2723a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_ae2b1f0db34ea4db.sql
@@ -0,0 +1,15 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_threshold_rarity_cdf
+-- query_record_id: v2q_m9_ae2b1f0db34ea4db
+-- problem_id: v2p_m9_49935188335e0f2e
+-- realization_mode: agent
+-- source_kind: agent
+SELECT AVG(CASE WHEN CAST(NULLIF("training_hours", '') AS REAL) <= 88.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold"
+FROM "m9";
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_af17ec05ff744d92.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_af17ec05ff744d92.sql
new file mode 100644
index 0000000000000000000000000000000000000000..a4b4cbc1d9e247cd9b48fc8b815d661ebd0826d9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_af17ec05ff744d92.sql
@@ -0,0 +1,15 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_threshold_rarity_cdf
+-- query_record_id: v2q_m9_af17ec05ff744d92
+-- problem_id: v2p_m9_43798335092d0231
+-- realization_mode: agent
+-- source_kind: agent
+SELECT AVG(CASE WHEN CAST("city_development_index" AS REAL) <= 0.92 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold"
+FROM "m9";
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_b2ff6a427ef6c731.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_b2ff6a427ef6c731.sql
new file mode 100644
index 0000000000000000000000000000000000000000..e29e553a0ccb3d7546d99a30d58b08b65deae193
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_b2ff6a427ef6c731.sql
@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_tail_low_support_group_count_v2
+-- query_record_id: v2q_m9_b2ff6a427ef6c731
+-- problem_id: v2p_m9_811f2694897a4cab
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "city_development_index",
+  COUNT(*) AS support
+FROM "m9"
+GROUP BY "city_development_index"
+ORDER BY support ASC, "city_development_index"
+LIMIT 10;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_b3deab2abab90e4e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_b3deab2abab90e4e.sql
new file mode 100644
index 0000000000000000000000000000000000000000..ef3d2394258dbe3e9a621673caacb458638f843f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_b3deab2abab90e4e.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_b3deab2abab90e4e
+-- problem_id: v2p_m9_fc25cf5b12ba0df0
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "company_size",
+       AVG(CASE WHEN "target" = '0.0' THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "m9"
+GROUP BY "company_size"
+ORDER BY "condition_rate" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_b59b92a651b283f7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_b59b92a651b283f7.sql
new file mode 100644
index 0000000000000000000000000000000000000000..3996bbf18318f4547e0220d9edd26fea942eb43e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_b59b92a651b283f7.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_cardinality_distinct_share_profile
+-- query_record_id: v2q_m9_b59b92a651b283f7
+-- problem_id: v2p_m9_879919df3ee66cab
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "company_size" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "company_size"
+), ranked AS (
+    SELECT
+        value_label,
+        support,
+        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
+    FROM grouped
+)
+SELECT *
+FROM ranked
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_b6eb7b4b29101b35.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_b6eb7b4b29101b35.sql
new file mode 100644
index 0000000000000000000000000000000000000000..1a75d55676eeb3c1caf4df56f1dacf9910d43154
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_b6eb7b4b29101b35.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_cardinality_distinct_share_profile
+-- query_record_id: v2q_m9_b6eb7b4b29101b35
+-- problem_id: v2p_m9_7715b0e8a406c01d
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "last_new_job" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "last_new_job"
+), ranked AS (
+    SELECT
+        value_label,
+        support,
+        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
+    FROM grouped
+)
+SELECT *
+FROM ranked
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_b79b3e19f722a052.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_b79b3e19f722a052.sql
new file mode 100644
index 0000000000000000000000000000000000000000..fee605fc26842c1daa5e5380b5ff2a2108f516db
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_b79b3e19f722a052.sql
@@ -0,0 +1,30 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_b79b3e19f722a052
+-- problem_id: v2p_m9_5baf34898230ead5
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "enrolled_university", SUM(CAST("enrollee_id" AS REAL)) AS "group_value"
+    FROM "m9"
+    WHERE "enrolled_university" IS NOT NULL
+      AND "enrolled_university" <> ''
+      AND "enrollee_id" IS NOT NULL
+      AND "enrollee_id" <> ''
+    GROUP BY "enrolled_university"
+), total AS (
+    SELECT SUM("group_value") AS "total_value"
+    FROM grouped
+)
+SELECT g."enrolled_university", g."group_value"
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g."group_value" > t."total_value" * 0.1
+ORDER BY g."group_value" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_b9a42ff63b25a38b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_b9a42ff63b25a38b.sql
new file mode 100644
index 0000000000000000000000000000000000000000..5e664b42ad0b6bd59ede578ba6d97624471f9e86
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_b9a42ff63b25a38b.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_b9a42ff63b25a38b
+-- problem_id: v2p_m9_76c322a797c35274
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT
+        "gender",
+        SUM(CAST("city_development_index" AS REAL)) AS group_value
+    FROM "m9"
+    GROUP BY "gender"
+), total AS (
+    SELECT SUM(group_value) AS total_value
+    FROM grouped
+)
+SELECT g."gender", g.group_value
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g.group_value > t.total_value * 0.05
+ORDER BY g.group_value DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_bc5870e8544dc5e3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_bc5870e8544dc5e3.sql
new file mode 100644
index 0000000000000000000000000000000000000000..2a590d6889c52de893de7aec6d37b191a9852ebc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_bc5870e8544dc5e3.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_m4_window_partition_avg
+-- query_record_id: v2q_m9_bc5870e8544dc5e3
+-- problem_id: v2p_m9_682d2c4f87acc3d6
+-- realization_mode: agent
+-- source_kind: agent
+SELECT DISTINCT "education_level",
+       AVG(CAST("city_development_index" AS REAL)) OVER (PARTITION BY "education_level") AS avg_measure
+FROM "m9"
+WHERE "education_level" IS NOT NULL
+  AND "education_level" <> ''
+  AND "city_development_index" IS NOT NULL
+  AND "city_development_index" <> ''
+ORDER BY avg_measure DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_bcf7ab78929086c6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_bcf7ab78929086c6.sql
new file mode 100644
index 0000000000000000000000000000000000000000..fa01d913e9c9f121898595e157f7968ea623c731
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_bcf7ab78929086c6.sql
@@ -0,0 +1,24 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: contrastive_conditional_view
+-- template_id: tpl_m4_group_ratio_two_conditions
+-- query_record_id: v2q_m9_bcf7ab78929086c6
+-- problem_id: v2p_m9_7866485700d585d0
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "company_type",
+           SUM(CASE WHEN "major_discipline" = 'STEM' THEN 1 ELSE 0 END) AS numerator_count,
+           SUM(CASE WHEN "major_discipline" = '' THEN 1 ELSE 0 END) AS denominator_count
+    FROM "m9"
+    GROUP BY "company_type"
+)
+SELECT "company_type",
+       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio
+FROM grouped
+ORDER BY condition_ratio DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_bd3f35e44639dce9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_bd3f35e44639dce9.sql
new file mode 100644
index 0000000000000000000000000000000000000000..d8321040801a69c013971a15b1a8076213f5bb31
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_bd3f35e44639dce9.sql
@@ -0,0 +1,73 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_m9_bd3f35e44639dce9
+-- problem_id: v2p_m9_dfc16293b2639c9e
+-- realization_mode: agent
+-- source_kind: agent
+WITH "base" AS (
+  SELECT
+    "relevent_experience" AS "group_col",
+    CAST("training_hours" AS REAL) AS "measure"
+  FROM "m9"
+  WHERE "training_hours" IS NOT NULL
+    AND TRIM("training_hours") <> ''
+    AND "relevent_experience" IS NOT NULL
+    AND TRIM("relevent_experience") <> ''
+),
+"ordered" AS (
+  SELECT
+    "group_col",
+    "measure",
+    ROW_NUMBER() OVER (
+      PARTITION BY "group_col"
+      ORDER BY "measure"
+    ) AS "rn",
+    COUNT(*) OVER (
+      PARTITION BY "group_col"
+    ) AS "cnt"
+  FROM "base"
+),
+"pos" AS (
+  SELECT DISTINCT
+    "group_col",
+    1.0 + ("cnt" - 1) * 0.95 AS "pos",
+    CAST(1.0 + ("cnt" - 1) * 0.95 AS INTEGER) AS "lower_rn",
+    CASE
+      WHEN 1.0 + ("cnt" - 1) * 0.95 = CAST(1.0 + ("cnt" - 1) * 0.95 AS INTEGER)
+        THEN CAST(1.0 + ("cnt" - 1) * 0.95 AS INTEGER)
+      ELSE CAST(1.0 + ("cnt" - 1) * 0.95 AS INTEGER) + 1
+    END AS "upper_rn"
+  FROM "ordered"
+),
+"bounds" AS (
+  SELECT
+    "pos"."group_col",
+    "pos"."pos",
+    "pos"."lower_rn",
+    "pos"."upper_rn",
+    MAX(CASE WHEN "ordered"."rn" = "pos"."lower_rn" THEN "ordered"."measure" END) AS "lower_val",
+    MAX(CASE WHEN "ordered"."rn" = "pos"."upper_rn" THEN "ordered"."measure" END) AS "upper_val"
+  FROM "pos"
+  JOIN "ordered"
+    ON "ordered"."group_col" = "pos"."group_col"
+  GROUP BY
+    "pos"."group_col",
+    "pos"."pos",
+    "pos"."lower_rn",
+    "pos"."upper_rn"
+)
+SELECT
+  "group_col" AS "relevent_experience",
+  CASE
+    WHEN "lower_rn" = "upper_rn" THEN "lower_val"
+    ELSE "lower_val" + ("pos" - "lower_rn") * ("upper_val" - "lower_val")
+  END AS "percentile_measure"
+FROM "bounds"
+ORDER BY "percentile_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_bd949a989eb0fbf6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_bd949a989eb0fbf6.sql
new file mode 100644
index 0000000000000000000000000000000000000000..51969246069ab669f65f15ac69c0a9ea8ff6c00a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_bd949a989eb0fbf6.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: subgroup_size_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_clickbench_group_count
+-- query_record_id: v2q_m9_bd949a989eb0fbf6
+-- problem_id: v2p_m9_906eaba230eb1ed8
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "company_size", COUNT(*) AS "row_count"
+FROM "m9"
+GROUP BY "company_size"
+ORDER BY "row_count" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_bf64a03d304de7f8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_bf64a03d304de7f8.sql
new file mode 100644
index 0000000000000000000000000000000000000000..db58a19996743edd2ac96701f5154911a8f57e65
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_bf64a03d304de7f8.sql
@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_bf64a03d304de7f8
+-- problem_id: v2p_m9_f5c2d17c0a2d3d8b
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "relevent_experience", SUM(CAST(NULLIF("training_hours", '') AS REAL)) AS group_value
+    FROM "m9"
+    GROUP BY "relevent_experience"
+), total AS (
+    SELECT SUM(group_value) AS total_value
+    FROM grouped
+)
+SELECT g."relevent_experience", g.group_value
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g.group_value > t.total_value * 0.1
+ORDER BY g.group_value DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c19136031c562dc3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c19136031c562dc3.sql
new file mode 100644
index 0000000000000000000000000000000000000000..dd2e8ddd1e22288f00b7e82288ddbeca91ada5d8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c19136031c562dc3.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: high_cardinality_response_stability
+-- intended_facet_id: target_cardinality_cross_section
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_cardinality_high_card_response_stability
+-- query_record_id: v2q_m9_c19136031c562dc3
+-- problem_id: v2p_m9_c0f0cf6728a38b5f
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "experience",
+    COUNT(*) AS support,
+    AVG("enrollee_id") AS avg_response
+FROM "m9"
+GROUP BY "experience"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c32f5fd069b9d3b5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c32f5fd069b9d3b5.sql
new file mode 100644
index 0000000000000000000000000000000000000000..e44a0f9d5632cdfe793f5dd8092ab2e54626d1fb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c32f5fd069b9d3b5.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: subgroup_size_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_clickbench_group_count
+-- query_record_id: v2q_m9_c32f5fd069b9d3b5
+-- problem_id: v2p_m9_1933934355bb6094
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "relevent_experience", COUNT(*) AS "row_count"
+FROM "m9"
+GROUP BY "relevent_experience"
+ORDER BY "row_count" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c3a90fe24a3ab805.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c3a90fe24a3ab805.sql
new file mode 100644
index 0000000000000000000000000000000000000000..e29ab1abc642a5a58fbaf897de8e4568d8042806
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c3a90fe24a3ab805.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m9_c3a90fe24a3ab805
+-- problem_id: v2p_m9_1572e0bb99d6ab88
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "major_discipline", SUM(CAST(NULLIF("training_hours", '') AS REAL)) AS "total_measure"
+FROM "m9"
+GROUP BY "major_discipline"
+ORDER BY "total_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c5034e2016642ca3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c5034e2016642ca3.sql
new file mode 100644
index 0000000000000000000000000000000000000000..339c8a68b612668b89627df068ed6b5f14c1914a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c5034e2016642ca3.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m9_c5034e2016642ca3
+-- problem_id: v2p_m9_eaa6cd9e9f04273d
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "relevent_experience",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "enrolled_university" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "enrolled_university" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "relevent_experience"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c51df929d8943233.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c51df929d8943233.sql
new file mode 100644
index 0000000000000000000000000000000000000000..8c09db4524ad36d9651f178c2d7cb4488f9ed570
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c51df929d8943233.sql
@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_m4_quantile_tail_slice
+-- query_record_id: v2q_m9_c51df929d8943233
+-- problem_id: v2p_m9_2fabf2b06ac3ecb7
+-- realization_mode: agent
+-- source_kind: agent
+WITH "buckets" AS (
+    SELECT
+        CAST(NULLIF("training_hours", '') AS REAL) AS "training_hours",
+        NTILE(10) OVER (
+            ORDER BY CAST(NULLIF("training_hours", '') AS REAL) DESC
+        ) AS "tail_bucket"
+    FROM "m9"
+    WHERE NULLIF("training_hours", '') IS NOT NULL
+)
+SELECT "training_hours"
+FROM "buckets"
+WHERE "tail_bucket" = 1
+ORDER BY "training_hours" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c52c6918cfe60eff.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c52c6918cfe60eff.sql
new file mode 100644
index 0000000000000000000000000000000000000000..54df8ec6737eded44d160ad0b414c451b1eac854
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c52c6918cfe60eff.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_rank_order
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m9_c52c6918cfe60eff
+-- problem_id: v2p_m9_1b890c7aacbfc9c4
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "enrolled_university", SUM(CAST("enrollee_id" AS NUMERIC)) AS "total_measure"
+FROM "m9"
+GROUP BY "enrolled_university"
+ORDER BY "total_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c5aa48b9b5e80dff.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c5aa48b9b5e80dff.sql
new file mode 100644
index 0000000000000000000000000000000000000000..f9ac84eb27fd35b91e168f31e3f48cab4b8b58e5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_c5aa48b9b5e80dff.sql
@@ -0,0 +1,24 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: contrastive_conditional_view
+-- template_id: tpl_m4_group_ratio_two_conditions
+-- query_record_id: v2q_m9_c5aa48b9b5e80dff
+-- problem_id: v2p_m9_b84517ef473a997d
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "gender",
+           SUM(CASE WHEN "company_type" = 'Pvt Ltd' THEN 1 ELSE 0 END) AS numerator_count,
+           SUM(CASE WHEN "company_type" = '' THEN 1 ELSE 0 END) AS denominator_count
+    FROM "m9"
+    GROUP BY "gender"
+)
+SELECT "gender",
+       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio
+FROM grouped
+ORDER BY condition_ratio DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_cac5916e1e379119.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_cac5916e1e379119.sql
new file mode 100644
index 0000000000000000000000000000000000000000..84a155f8eed60b9d019956b6adb329872d5387cb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_cac5916e1e379119.sql
@@ -0,0 +1,22 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_cac5916e1e379119
+-- problem_id: v2p_m9_304afe02fc46df1e
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "enrolled_university",
+  "experience",
+  SUM(CAST("enrollee_id" AS REAL)) AS total_measure,
+  SUM(CAST("enrollee_id" AS REAL)) * 100.0 /
+    SUM(SUM(CAST("enrollee_id" AS REAL))) OVER (PARTITION BY "enrolled_university") AS share_within_group
+FROM "m9"
+GROUP BY "enrolled_university", "experience"
+ORDER BY share_within_group DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_cad7b4c010a357ce.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_cad7b4c010a357ce.sql
new file mode 100644
index 0000000000000000000000000000000000000000..7b334f56cef8193b6e0442fea819eead2c859c26
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_cad7b4c010a357ce.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_m4_window_partition_avg
+-- query_record_id: v2q_m9_cad7b4c010a357ce
+-- problem_id: v2p_m9_7c0cb99794bbe9ba
+-- realization_mode: agent
+-- source_kind: agent
+SELECT DISTINCT
+  "relevent_experience",
+  AVG(CAST("training_hours" AS REAL)) OVER (PARTITION BY "relevent_experience") AS avg_measure
+FROM "m9"
+ORDER BY avg_measure DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_cc00937eeb3aecfd.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_cc00937eeb3aecfd.sql
new file mode 100644
index 0000000000000000000000000000000000000000..ad64be987b02e1cb9ce681b30cd405945e5efedc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_cc00937eeb3aecfd.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_m9_cc00937eeb3aecfd
+-- problem_id: v2p_m9_c8d95c8646006585
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "enrolled_university" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "enrolled_university"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_cf8beba493454b99.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_cf8beba493454b99.sql
new file mode 100644
index 0000000000000000000000000000000000000000..c5dd3191c362a8779bbbfc2b6b7879216bd16595
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_cf8beba493454b99.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: contrastive_conditional_view
+-- template_id: tpl_m4_group_ratio_two_conditions
+-- query_record_id: v2q_m9_cf8beba493454b99
+-- problem_id: v2p_m9_65f3a34dbbc89516
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+    SELECT
+        "experience",
+        SUM(CASE WHEN "enrolled_university" = 'no_enrollment' THEN 1 ELSE 0 END) AS "numerator_count",
+        SUM(CASE WHEN "enrolled_university" = 'Full time course' THEN 1 ELSE 0 END) AS "denominator_count"
+    FROM "m9"
+    GROUP BY "experience"
+)
+SELECT
+    "experience",
+    CAST("numerator_count" AS FLOAT) / NULLIF("denominator_count", 0) AS "condition_ratio"
+FROM "grouped"
+WHERE ("numerator_count" + "denominator_count") >= 5
+ORDER BY "condition_ratio" DESC
+LIMIT 12;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_d3e278414d888256.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_d3e278414d888256.sql
new file mode 100644
index 0000000000000000000000000000000000000000..d25263ca1fba1d8aff8072e93972a6ee80817691
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_d3e278414d888256.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_d3e278414d888256
+-- problem_id: v2p_m9_20a79412b029fc7f
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "company_type", "experience",
+       SUM(CAST(NULLIF("training_hours", '') AS REAL)) AS total_measure,
+       SUM(CAST(NULLIF("training_hours", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("training_hours", '') AS REAL))) OVER (PARTITION BY "company_type") AS share_within_group
+FROM "m9"
+WHERE NULLIF("training_hours", '') IS NOT NULL
+GROUP BY "company_type", "experience"
+ORDER BY share_within_group DESC
+LIMIT 17;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_d42363a79139d199.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_d42363a79139d199.sql
new file mode 100644
index 0000000000000000000000000000000000000000..b03f8bf71c34ed7f77158f197383a83b92db3681
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_d42363a79139d199.sql
@@ -0,0 +1,41 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_m9_d42363a79139d199
+-- problem_id: v2p_m9_c8a02f22ec4ab88c
+-- realization_mode: agent
+-- source_kind: agent
+WITH "base" AS (
+  SELECT
+    "company_type",
+    CAST("training_hours" AS REAL) AS "training_hours_num"
+  FROM "m9"
+  WHERE NULLIF("company_type", '') IS NOT NULL
+    AND NULLIF("training_hours", '') IS NOT NULL
+),
+"ranked" AS (
+  SELECT
+    "company_type",
+    "training_hours_num",
+    ROW_NUMBER() OVER (
+      PARTITION BY "company_type"
+      ORDER BY "training_hours_num"
+    ) AS "rn",
+    COUNT(*) OVER (
+      PARTITION BY "company_type"
+    ) AS "cnt"
+  FROM "base"
+)
+SELECT
+  "company_type",
+  "training_hours_num" AS "percentile_measure"
+FROM "ranked"
+WHERE "cnt" >= 5
+  AND "rn" = CAST((9 * "cnt" + 9) / 10 AS INTEGER)
+ORDER BY "percentile_measure" DESC, "company_type";
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_d4358642b47fe90b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_d4358642b47fe90b.sql
new file mode 100644
index 0000000000000000000000000000000000000000..090e6cc44e947d40f20aaa9e2eaf913500b9ecf0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_d4358642b47fe90b.sql
@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tail_low_support_group_count_v2
+-- query_record_id: v2q_m9_d4358642b47fe90b
+-- problem_id: v2p_m9_1c3428de60d20643
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+    "relevent_experience",
+    COUNT(*) AS "support"
+FROM "m9"
+GROUP BY "relevent_experience"
+ORDER BY "support" ASC, "relevent_experience"
+LIMIT 17;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_d45f5b268fce1627.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_d45f5b268fce1627.sql
new file mode 100644
index 0000000000000000000000000000000000000000..0e5ecaae0780791b858bb1262e75637572f9c519
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_d45f5b268fce1627.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_rate_by_subgroup
+-- variant_semantic_role: missing_rate_by_subgroup
+-- template_id: tpl_missing_rate_by_subgroup
+-- query_record_id: v2q_m9_d45f5b268fce1627
+-- problem_id: v2p_m9_60a4530fac361bb4
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "city_development_index",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "education_level" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "education_level" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "city_development_index"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_d91e1b55d49f5e6b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_d91e1b55d49f5e6b.sql
new file mode 100644
index 0000000000000000000000000000000000000000..3398fa4ffe3fa4ae19f8375e27d4af95655ab6c3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_d91e1b55d49f5e6b.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_m4_window_partition_avg
+-- query_record_id: v2q_m9_d91e1b55d49f5e6b
+-- problem_id: v2p_m9_eaf36c86aa88822b
+-- realization_mode: agent
+-- source_kind: agent
+SELECT DISTINCT "enrolled_university",
+       AVG(CAST("enrollee_id" AS REAL)) OVER (PARTITION BY "enrolled_university") AS avg_measure
+FROM "m9"
+ORDER BY avg_measure DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_db1f0e8a93edfcc7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_db1f0e8a93edfcc7.sql
new file mode 100644
index 0000000000000000000000000000000000000000..61e7125c462e1c7551dd87ba082216ec6b8dc322
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_db1f0e8a93edfcc7.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m9_db1f0e8a93edfcc7
+-- problem_id: v2p_m9_e162bfe36994756d
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "education_level",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "company_type" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "company_type" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "education_level"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_dd2c943b4f284c51.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_dd2c943b4f284c51.sql
new file mode 100644
index 0000000000000000000000000000000000000000..2f1110d8b99203acc0c2f5aede4e1b183a314998
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_dd2c943b4f284c51.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_dd2c943b4f284c51
+-- problem_id: v2p_m9_7f700eac02983acc
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "relevent_experience",
+       AVG(CASE WHEN "enrolled_university" = 'no_enrollment' THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "m9"
+GROUP BY "relevent_experience"
+ORDER BY "condition_rate" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_de0d50470026f862.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_de0d50470026f862.sql
new file mode 100644
index 0000000000000000000000000000000000000000..10ec4e2d6dd83dbffc095d4679cd4480f24e0825
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_de0d50470026f862.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_m9_de0d50470026f862
+-- problem_id: v2p_m9_7b16f6a2d125b502
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "company_type" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "company_type"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_de1a3d0bc776d971.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_de1a3d0bc776d971.sql
new file mode 100644
index 0000000000000000000000000000000000000000..529f3c06058140fa3bce6b1f9855b4090b30cb72
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_de1a3d0bc776d971.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_rank_order
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m9_de1a3d0bc776d971
+-- problem_id: v2p_m9_bee4518214bef276
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "experience", SUM(CAST("enrollee_id" AS REAL)) AS total_measure
+FROM "m9"
+GROUP BY "experience"
+ORDER BY total_measure DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_dfc60077c1267844.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_dfc60077c1267844.sql
new file mode 100644
index 0000000000000000000000000000000000000000..1721e95f998bf1ea692b3fa24b02fe1f6ce9acd2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_dfc60077c1267844.sql
@@ -0,0 +1,22 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_dfc60077c1267844
+-- problem_id: v2p_m9_2ccf330920828aad
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "city_development_index",
+  "enrollee_id",
+  SUM(CAST("enrollee_id" AS REAL)) AS total_measure,
+  SUM(CAST("enrollee_id" AS REAL)) * 100.0 / SUM(SUM(CAST("enrollee_id" AS REAL))) OVER (PARTITION BY "city_development_index") AS share_within_group
+FROM "m9"
+GROUP BY "city_development_index", "enrollee_id"
+ORDER BY share_within_group DESC
+LIMIT 14;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e05a029cf72ca8ce.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e05a029cf72ca8ce.sql
new file mode 100644
index 0000000000000000000000000000000000000000..e202a6cfd504998cc3fe279797d63e0f8a23a58f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e05a029cf72ca8ce.sql
@@ -0,0 +1,29 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_e05a029cf72ca8ce
+-- problem_id: v2p_m9_695f10b97b3e86a5
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "relevent_experience",
+  "city_development_index",
+  SUM(CAST("training_hours" AS REAL)) AS total_measure,
+  SUM(CAST("training_hours" AS REAL)) * 100.0
+    / SUM(SUM(CAST("training_hours" AS REAL))) OVER (PARTITION BY "relevent_experience") AS share_within_group
+FROM "m9"
+WHERE "relevent_experience" IS NOT NULL
+  AND "relevent_experience" <> ''
+  AND "city_development_index" IS NOT NULL
+  AND "city_development_index" <> ''
+  AND "training_hours" IS NOT NULL
+  AND "training_hours" <> ''
+GROUP BY "relevent_experience", "city_development_index"
+ORDER BY share_within_group DESC
+LIMIT 11;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e06fef05dd74555d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e06fef05dd74555d.sql
new file mode 100644
index 0000000000000000000000000000000000000000..4af61a6ecec8b5acc85074106025c0bb4ca271c8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e06fef05dd74555d.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m9_e06fef05dd74555d
+-- problem_id: v2p_m9_9f96e78be2eaf5e6
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "relevent_experience",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "company_size" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "company_size" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "relevent_experience"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e184c88223563dd8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e184c88223563dd8.sql
new file mode 100644
index 0000000000000000000000000000000000000000..d6974906703f0b6eecc831b3d3e28f860508eacf
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e184c88223563dd8.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_e184c88223563dd8
+-- problem_id: v2p_m9_6eec9a19a5ae94c1
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "gender",
+       AVG(CASE WHEN "relevent_experience" = 'Has relevent experience' THEN 1 ELSE 0 END) AS condition_rate
+FROM "m9"
+GROUP BY "gender"
+ORDER BY condition_rate DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e1a797e538210d87.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e1a797e538210d87.sql
new file mode 100644
index 0000000000000000000000000000000000000000..4ac6b3afd9ebff6fbcc7810282e69c7ae89e79e2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e1a797e538210d87.sql
@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_tail_low_support_group_count_v2
+-- query_record_id: v2q_m9_e1a797e538210d87
+-- problem_id: v2p_m9_7f643487079c2470
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "relevent_experience",
+  COUNT(*) AS "support"
+FROM "m9"
+GROUP BY "relevent_experience"
+ORDER BY "support" ASC, "relevent_experience"
+LIMIT 12;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e1aa0a1f67ea735c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e1aa0a1f67ea735c.sql
new file mode 100644
index 0000000000000000000000000000000000000000..68cfc9c1f789748ccd8d72927749a1a1b730cac6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e1aa0a1f67ea735c.sql
@@ -0,0 +1,38 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_m9_e1aa0a1f67ea735c
+-- problem_id: v2p_m9_609d86c13e11fae0
+-- realization_mode: agent
+-- source_kind: agent
+WITH "__ranked" AS (
+  SELECT
+    "city_development_index",
+    CAST("enrollee_id" AS REAL) AS "__measure",
+    ROW_NUMBER() OVER (
+      PARTITION BY "city_development_index"
+      ORDER BY CAST("enrollee_id" AS REAL)
+    ) AS "__rn",
+    COUNT(*) OVER (
+      PARTITION BY "city_development_index"
+    ) AS "__cnt"
+  FROM "m9"
+  WHERE "city_development_index" IS NOT NULL
+    AND TRIM("city_development_index") <> ''
+    AND "enrollee_id" IS NOT NULL
+    AND TRIM("enrollee_id") <> ''
+    AND "enrollee_id" NOT GLOB '*[^0-9]*'
+)
+SELECT
+  "city_development_index",
+  MIN("__measure") AS "percentile_measure"
+FROM "__ranked"
+WHERE "__rn" >= ((95 * "__cnt" + 99) / 100)
+GROUP BY "city_development_index"
+ORDER BY "percentile_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e598956285297f9b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e598956285297f9b.sql
new file mode 100644
index 0000000000000000000000000000000000000000..0fbbd9d204fa28dfdbbea612b816af3a37e005e6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e598956285297f9b.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: marginal_missing_rate_consistency
+-- intended_facet_id: missing_indicator_distribution
+-- variant_semantic_role: missing_indicator_view
+-- template_id: tpl_missing_marginal_rate_profile
+-- query_record_id: v2q_m9_e598956285297f9b
+-- problem_id: v2p_m9_a82b7afbc7d3cbc3
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "experience" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "experience" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9";
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e5cb4e921e768ea7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e5cb4e921e768ea7.sql
new file mode 100644
index 0000000000000000000000000000000000000000..d28b559e50366882bd9e6271708a0ccc3aca39b6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e5cb4e921e768ea7.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m9_e5cb4e921e768ea7
+-- problem_id: v2p_m9_f10f9688fd500c00
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "gender",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "experience" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "experience" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "gender"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e78405547a3b2e49.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e78405547a3b2e49.sql
new file mode 100644
index 0000000000000000000000000000000000000000..35bb21f0094823a1fa2bc6564e5bab59f6d40169
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e78405547a3b2e49.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m9_e78405547a3b2e49
+-- problem_id: v2p_m9_b48ec2ff4338e146
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "enrolled_university", SUM(CAST("enrollee_id" AS NUMERIC)) AS "total_measure"
+FROM "m9"
+GROUP BY "enrolled_university"
+ORDER BY "total_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e84efb012fbfa8e2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e84efb012fbfa8e2.sql
new file mode 100644
index 0000000000000000000000000000000000000000..49d4333effa58548562807d01fdbfb3b47438129
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_e84efb012fbfa8e2.sql
@@ -0,0 +1,37 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_m9_e84efb012fbfa8e2
+-- problem_id: v2p_m9_2a6decb54fabdafe
+-- realization_mode: agent
+-- source_kind: agent
+WITH "ranked" AS (
+  SELECT
+    "city_development_index",
+    CAST("enrollee_id" AS REAL) AS "measure_value",
+    ROW_NUMBER() OVER (
+      PARTITION BY "city_development_index"
+      ORDER BY CAST("enrollee_id" AS REAL)
+    ) AS "rn",
+    COUNT(*) OVER (
+      PARTITION BY "city_development_index"
+    ) AS "cnt"
+  FROM "m9"
+  WHERE "city_development_index" IS NOT NULL
+    AND "city_development_index" <> ''
+    AND "enrollee_id" IS NOT NULL
+    AND "enrollee_id" <> ''
+)
+SELECT
+  "city_development_index",
+  MIN(CASE WHEN "rn" >= 0.9 * "cnt" THEN "measure_value" END) AS "percentile_measure"
+FROM "ranked"
+WHERE "cnt" >= 5
+GROUP BY "city_development_index"
+ORDER BY "percentile_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f05afdd3be04aa2c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f05afdd3be04aa2c.sql
new file mode 100644
index 0000000000000000000000000000000000000000..9ea2c0bb8cf174eb856386570e0dcdd5e05793d3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f05afdd3be04aa2c.sql
@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_f05afdd3be04aa2c
+-- problem_id: v2p_m9_a8470a5bc880393d
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "gender", "city",
+       SUM(CAST("city_development_index" AS REAL)) AS "total_measure",
+       SUM(CAST("city_development_index" AS REAL)) * 100.0 / SUM(SUM(CAST("city_development_index" AS REAL))) OVER (PARTITION BY "gender") AS "share_within_group"
+FROM "m9"
+GROUP BY "gender", "city"
+ORDER BY "share_within_group" DESC
+LIMIT 15;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f0d28c375aa5e7d8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f0d28c375aa5e7d8.sql
new file mode 100644
index 0000000000000000000000000000000000000000..0ddb78e68196e92c13c88e5d0d8b787065cc2366
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f0d28c375aa5e7d8.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_m4_window_partition_avg
+-- query_record_id: v2q_m9_f0d28c375aa5e7d8
+-- problem_id: v2p_m9_c2e5712935a5387b
+-- realization_mode: agent
+-- source_kind: agent
+SELECT DISTINCT "enrolled_university",
+       AVG(CAST("enrollee_id" AS REAL)) OVER (PARTITION BY "enrolled_university") AS avg_measure
+FROM "m9"
+WHERE "enrolled_university" IS NOT NULL
+  AND "enrolled_university" <> ''
+  AND "enrollee_id" IS NOT NULL
+  AND "enrollee_id" <> ''
+ORDER BY avg_measure DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f416f21fe5fff340.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f416f21fe5fff340.sql
new file mode 100644
index 0000000000000000000000000000000000000000..fe856fa3bfae1f2d0cc17b58e2cb806c0bea60d6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f416f21fe5fff340.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_m9_f416f21fe5fff340
+-- problem_id: v2p_m9_5bcff65af4a112ae
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "company_size", "company_type", COUNT(*) AS "row_count"
+FROM "m9"
+WHERE CAST("enrollee_id" AS REAL) >= 25169.75
+GROUP BY "company_size", "company_type"
+ORDER BY "row_count" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f41dcfcfe45dbbb2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f41dcfcfe45dbbb2.sql
new file mode 100644
index 0000000000000000000000000000000000000000..837199ef89a677b56adedaeebb2e0b5a4ea0409f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f41dcfcfe45dbbb2.sql
@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: subgroup_size_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_clickbench_group_count
+-- query_record_id: v2q_m9_f41dcfcfe45dbbb2
+-- problem_id: v2p_m9_badf8ca3b5d3a8c0
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "gender", COUNT(*) AS "row_count"
+FROM "m9"
+GROUP BY "gender"
+ORDER BY "row_count" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f52f18b17c4cc8cc.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f52f18b17c4cc8cc.sql
new file mode 100644
index 0000000000000000000000000000000000000000..865a7c8eb57d73b1ef8085d3273c2163f1cabdc7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f52f18b17c4cc8cc.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_cardinality_distinct_share_profile
+-- query_record_id: v2q_m9_f52f18b17c4cc8cc
+-- problem_id: v2p_m9_d7a4c4e9f08a179d
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "relevent_experience" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "relevent_experience"
+), ranked AS (
+    SELECT
+        value_label,
+        support,
+        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
+    FROM grouped
+)
+SELECT *
+FROM ranked
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f5f63b1e437747fd.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f5f63b1e437747fd.sql
new file mode 100644
index 0000000000000000000000000000000000000000..50d78143dcca97d4e78ecf17272bfaf6cf546da5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f5f63b1e437747fd.sql
@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tail_low_support_group_count_v2
+-- query_record_id: v2q_m9_f5f63b1e437747fd
+-- problem_id: v2p_m9_466af191db835cec
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+    "gender",
+    COUNT(*) AS support
+FROM "m9"
+GROUP BY "gender"
+ORDER BY support ASC, "gender"
+LIMIT 11;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f6d95d112f27cb53.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f6d95d112f27cb53.sql
new file mode 100644
index 0000000000000000000000000000000000000000..51304643d59a0fd506677707f572d85d3194657f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f6d95d112f27cb53.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_f6d95d112f27cb53
+-- problem_id: v2p_m9_c3e57052ebe95741
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "education_level",
+  "training_hours",
+  SUM(CAST("city_development_index" AS REAL)) AS total_measure,
+  SUM(CAST("city_development_index" AS REAL)) * 100.0 / SUM(SUM(CAST("city_development_index" AS REAL))) OVER (PARTITION BY "education_level") AS share_within_group
+FROM "m9"
+WHERE "education_level" <> ''
+  AND "training_hours" <> ''
+  AND "city_development_index" <> ''
+GROUP BY "education_level", "training_hours"
+ORDER BY share_within_group DESC
+LIMIT 18;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f6ffdb2ef7205915.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f6ffdb2ef7205915.sql
new file mode 100644
index 0000000000000000000000000000000000000000..3cbe833ef2c513cf7ae1b418870d6bf7a2af8b68
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f6ffdb2ef7205915.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_rate_by_subgroup
+-- variant_semantic_role: missing_rate_by_subgroup
+-- template_id: tpl_missing_rate_by_subgroup
+-- query_record_id: v2q_m9_f6ffdb2ef7205915
+-- problem_id: v2p_m9_5a7e13e69e0196c1
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "company_size",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "experience" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "experience" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "company_size"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f703aea01bbab1a4.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f703aea01bbab1a4.sql
new file mode 100644
index 0000000000000000000000000000000000000000..5283c23dbf6c84c2f03bb057d2a4f973276691ab
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f703aea01bbab1a4.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_rate_by_subgroup
+-- variant_semantic_role: missing_rate_by_subgroup
+-- template_id: tpl_missing_rate_by_subgroup
+-- query_record_id: v2q_m9_f703aea01bbab1a4
+-- problem_id: v2p_m9_e3e2476298b71947
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "city_development_index",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "company_type" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "company_type" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "city_development_index"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f78aaa1f5f51d498.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f78aaa1f5f51d498.sql
new file mode 100644
index 0000000000000000000000000000000000000000..ab329b4f57125162d11c6045254f816a2fda9bcb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f78aaa1f5f51d498.sql
@@ -0,0 +1,73 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_m9_f78aaa1f5f51d498
+-- problem_id: v2p_m9_a674330b26ae662f
+-- realization_mode: agent
+-- source_kind: agent
+WITH "base" AS (
+  SELECT
+    "company_type",
+    CAST("training_hours" AS REAL) AS "training_hours_num"
+  FROM "m9"
+  WHERE "company_type" IS NOT NULL
+    AND "company_type" <> ''
+    AND "training_hours" IS NOT NULL
+    AND "training_hours" <> ''
+),
+"ranked" AS (
+  SELECT
+    "company_type",
+    "training_hours_num",
+    ROW_NUMBER() OVER (
+      PARTITION BY "company_type"
+      ORDER BY "training_hours_num"
+    ) AS "rn",
+    COUNT(*) OVER (
+      PARTITION BY "company_type"
+    ) AS "cnt"
+  FROM "base"
+),
+"positioned" AS (
+  SELECT
+    "company_type",
+    "training_hours_num",
+    "rn",
+    "cnt",
+    CAST((95 * "cnt" + 5) / 100 AS INTEGER) AS "lower_idx",
+    CAST((95 * "cnt" + 5) / 100 AS INTEGER) + CASE WHEN ((95 * "cnt" + 5) % 100) > 0 THEN 1 ELSE 0 END AS "upper_idx",
+    ((95 * "cnt" + 5) % 100) AS "frac_num"
+  FROM "ranked"
+),
+"interpolated" AS (
+  SELECT
+    "company_type",
+    "cnt",
+    "lower_idx",
+    "upper_idx",
+    "frac_num",
+    MAX(CASE WHEN "rn" = "lower_idx" THEN "training_hours_num" END) AS "lower_val",
+    MAX(CASE WHEN "rn" = "upper_idx" THEN "training_hours_num" END) AS "upper_val"
+  FROM "positioned"
+  GROUP BY
+    "company_type",
+    "cnt",
+    "lower_idx",
+    "upper_idx",
+    "frac_num"
+)
+SELECT
+  "company_type",
+  CASE
+    WHEN "frac_num" = 0 THEN "lower_val"
+    ELSE "lower_val" + ("frac_num" / 100.0) * ("upper_val" - "lower_val")
+  END AS "percentile_measure"
+FROM "interpolated"
+WHERE "cnt" >= 5
+ORDER BY "percentile_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f7eb7b64880fb985.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f7eb7b64880fb985.sql
new file mode 100644
index 0000000000000000000000000000000000000000..84b565cacd403b25ea17f4222f159af310e065bb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f7eb7b64880fb985.sql
@@ -0,0 +1,27 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m9_f7eb7b64880fb985
+-- problem_id: v2p_m9_17a94695de83b6a9
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "relevent_experience",
+  "city_development_index",
+  SUM(CAST("training_hours" AS REAL)) AS "total_measure",
+  SUM(CAST("training_hours" AS REAL)) * 100.0 / SUM(SUM(CAST("training_hours" AS REAL))) OVER (PARTITION BY "relevent_experience") AS "share_within_group"
+FROM "m9"
+WHERE "relevent_experience" IS NOT NULL
+  AND "relevent_experience" <> ''
+  AND "city_development_index" IS NOT NULL
+  AND "city_development_index" <> ''
+  AND "training_hours" IS NOT NULL
+  AND "training_hours" <> ''
+GROUP BY "relevent_experience", "city_development_index"
+ORDER BY "share_within_group" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f8506904d051199f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f8506904d051199f.sql
new file mode 100644
index 0000000000000000000000000000000000000000..f3b11fa30ccf7fb2137b2a4753914628c352d72c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_f8506904d051199f.sql
@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m9_f8506904d051199f
+-- problem_id: v2p_m9_ebcf5390faf97291
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "education_level",
+       AVG(CASE WHEN "major_discipline" = 'STEM' THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "m9"
+GROUP BY "education_level"
+ORDER BY "condition_rate" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_fb014c25cfedca8c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_fb014c25cfedca8c.sql
new file mode 100644
index 0000000000000000000000000000000000000000..455e6e00e96f66490948836364eb7736a17c5f87
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_fb014c25cfedca8c.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m9_fb014c25cfedca8c
+-- problem_id: v2p_m9_b804212207282a72
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "company_type",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "education_level" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "education_level" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m9"
+GROUP BY "company_type"
+ORDER BY missing_rate DESC, total_rows DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_fb7710d4a5cd450f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_fb7710d4a5cd450f.sql
new file mode 100644
index 0000000000000000000000000000000000000000..acae0dcf25132a1113cb5b976a13fefb13f8801a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_fb7710d4a5cd450f.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_cardinality_distinct_share_profile
+-- query_record_id: v2q_m9_fb7710d4a5cd450f
+-- problem_id: v2p_m9_e25a3a8587d72586
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "major_discipline" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "major_discipline"
+), ranked AS (
+    SELECT
+        value_label,
+        support,
+        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
+    FROM grouped
+)
+SELECT *
+FROM ranked
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_fcedd4a7dad4f5a9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_fcedd4a7dad4f5a9.sql
new file mode 100644
index 0000000000000000000000000000000000000000..9eb7ec3b41d2cc4ec21b5e305f0aa690c4c95720
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_fcedd4a7dad4f5a9.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: high_cardinality_response_stability
+-- intended_facet_id: target_cardinality_cross_section
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_cardinality_high_card_response_stability
+-- query_record_id: v2q_m9_fcedd4a7dad4f5a9
+-- problem_id: v2p_m9_35e860b115500b6f
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "city",
+    COUNT(*) AS support,
+    AVG("training_hours") AS avg_response
+FROM "m9"
+GROUP BY "city"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_fe78892a2f55fc1c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_fe78892a2f55fc1c.sql
new file mode 100644
index 0000000000000000000000000000000000000000..e5dfd1bd6f5f338769ee784510bafd1fd4298911
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_fe78892a2f55fc1c.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_cardinality_distinct_share_profile
+-- query_record_id: v2q_m9_fe78892a2f55fc1c
+-- problem_id: v2p_m9_69466bf5e57f70b2
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "training_hours" AS value_label, COUNT(*) AS support
+    FROM "m9"
+    GROUP BY "training_hours"
+), ranked AS (
+    SELECT
+        value_label,
+        support,
+        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
+    FROM grouped
+)
+SELECT *
+FROM ranked
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_fef72908b4f36fae.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_fef72908b4f36fae.sql
new file mode 100644
index 0000000000000000000000000000000000000000..c0c6d8d52b07c4d072c6839da71a1e82de1d0d94
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_fef72908b4f36fae.sql
@@ -0,0 +1,32 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_fef72908b4f36fae
+-- problem_id: v2p_m9_6dafced33d353f4d
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT
+        "experience",
+        SUM(CAST("enrollee_id" AS REAL)) AS group_value
+    FROM "m9"
+    WHERE COALESCE("experience", '') <> ''
+      AND COALESCE("enrollee_id", '') <> ''
+    GROUP BY "experience"
+), total AS (
+    SELECT SUM(group_value) AS total_value
+    FROM grouped
+)
+SELECT
+    g."experience",
+    g.group_value
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g.group_value > t.total_value * 0.05
+ORDER BY g.group_value DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_ff38c86f32a8a957.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_ff38c86f32a8a957.sql
new file mode 100644
index 0000000000000000000000000000000000000000..8b6f7e9e7c03af330dc60110665cf5ee44d40dae
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m9/sql/v2q_m9_ff38c86f32a8a957.sql
@@ -0,0 +1,35 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m9_ff38c86f32a8a957
+-- problem_id: v2p_m9_74a56e24ee6e1623
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+  SELECT
+    "major_discipline",
+    SUM(CAST("training_hours" AS REAL)) AS "group_value"
+  FROM "m9"
+  WHERE "major_discipline" IS NOT NULL
+    AND "major_discipline" <> ''
+    AND "training_hours" IS NOT NULL
+    AND "training_hours" <> ''
+  GROUP BY "major_discipline"
+),
+"total" AS (
+  SELECT SUM("group_value") AS "total_value"
+  FROM "grouped"
+)
+SELECT
+  g."major_discipline",
+  g."group_value"
+FROM "grouped" AS g
+CROSS JOIN "total" AS t
+WHERE g."group_value" > t."total_value" * 0.05
+ORDER BY g."group_value" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..ce6178668bc4f1c3069ef15eda690539ed0ebfa8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9390, "bytes_utf8": 9390, "lines": 300, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 386, "bytes_utf8": 386, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 352, "reasoning_output_tokens": 249}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..5116146fda84aba428c9d4a1dc44c672db4128be
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_052b0129b719c736",
+    "api_calls": 0,
+    "input_tokens": 14940,
+    "cached_input_tokens": 12032,
+    "output_tokens": 352,
+    "total_tokens": 15292,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 9424.52,
+    "sql_execution_elapsed_ms_total": 8.09,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..e44d3fc0cb6887a6165bf2c8d4654da4a3dd7d5e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:30:55.464740+00:00",
+  "ended_at": "2026-05-19T15:31:04.889298+00:00",
+  "elapsed_ms": 9424.52,
+  "prompt_metrics": {
+    "chars": 9390,
+    "bytes_utf8": 9390,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 736,
+    "bytes_utf8": 736,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 386,
+      "bytes_utf8": 386,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14940,
+      "cached_input_tokens": 12032,
+      "output_tokens": 352,
+      "reasoning_output_tokens": 249
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..bcae5d2aba07c3af7bcb15d09e5095baa120582e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_7, measure_col=feature_7.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "feature_7",
+    "measure_col": "feature_7",
+    "top_k": 16,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 67.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..834a64a169f56e6890324baf15f275a5a848896b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40dc-8a75-7440-bdb8-1b3db947fc60"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_7\\\", SUM(CAST(\\\"feature_7\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_7\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the grouped numeric sum template with \\\"feature_7\\\" as both the grouping column and measure column. CAST is used because the feature columns are stored as TEXT in the SQLite schema.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14940,"cached_input_tokens":12032,"output_tokens":352,"reasoning_output_tokens":249}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..53935782c0800009d413d4616fb33f0357124a51
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_7\", SUM(CAST(\"feature_7\" AS NUMERIC)) AS total_measure\nFROM \"n9\"\nGROUP BY \"feature_7\"\nORDER BY total_measure DESC;","notes":"Applied the grouped numeric sum template with \"feature_7\" as both the grouping column and measure column. CAST is used because the feature columns are stored as TEXT in the SQLite schema."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..ba08f4f4b46f6505417df2aec993de07f499cada
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9799, "bytes_utf8": 9799, "lines": 302, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 617, "bytes_utf8": 617, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15059, "cached_input_tokens": 13696, "output_tokens": 605, "reasoning_output_tokens": 427}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..bcab844c959b9cc14d1dcc6e04d3aebfb0e6078e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_116f8ea312eb3030",
+    "api_calls": 0,
+    "input_tokens": 15059,
+    "cached_input_tokens": 13696,
+    "output_tokens": 605,
+    "total_tokens": 15664,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 11349.27,
+    "sql_execution_elapsed_ms_total": 18.4,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..668a3d9af148fa3a9c13ad3a6d5b284cf0542c46
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:37:48.608929+00:00",
+  "ended_at": "2026-05-19T15:37:59.958231+00:00",
+  "elapsed_ms": 11349.27,
+  "prompt_metrics": {
+    "chars": 9799,
+    "bytes_utf8": 9799,
+    "lines": 302,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 997,
+    "bytes_utf8": 997,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 617,
+      "bytes_utf8": 617,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15059,
+      "cached_input_tokens": 13696,
+      "output_tokens": 605,
+      "reasoning_output_tokens": 427
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b4295d1c9f04d2b20474cb0cce2490115a368df2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,302 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_15, measure_col=feature_16.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "feature_15",
+    "measure_col": "feature_16",
+    "item_col": "feature_1",
+    "top_k": 11,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 51.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..fc28d22c29f52245650b5692c13ee7d494259f94
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e2-d843-7b52-8428-f8a92aef1904"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_15\\\", \\\"feature_1\\\",\\n       SUM(CAST(\\\"feature_16\\\" AS REAL)) AS total_measure,\\n       SUM(CAST(\\\"feature_16\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_16\\\" AS REAL))) OVER (PARTITION BY \\\"feature_15\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_15\\\", \\\"feature_1\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"feature_15\\\", item_col=\\\"feature_1\\\", and measure_col=\\\"feature_16\\\". CAST is used because the feature columns are stored as TEXT in the SQLite schema.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15059,"cached_input_tokens":13696,"output_tokens":605,"reasoning_output_tokens":427}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..498bced9cf5200d18eab6fcd5c4415a37d4c76ac
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"feature_15\", \"feature_1\",\n       SUM(CAST(\"feature_16\" AS REAL)) AS total_measure,\n       SUM(CAST(\"feature_16\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_16\" AS REAL))) OVER (PARTITION BY \"feature_15\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_15\", \"feature_1\"\nORDER BY share_within_group DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"feature_15\", item_col=\"feature_1\", and measure_col=\"feature_16\". CAST is used because the feature columns are stored as TEXT in the SQLite schema."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..98ae40205e62695144b1871028e1c471f0f4bb1d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9389, "bytes_utf8": 9389, "lines": 300, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 377, "bytes_utf8": 377, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 302, "reasoning_output_tokens": 198}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..7963faf921185b2a8ac46debf747e603ba3133ac
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_11aceec600252d5a",
+    "api_calls": 0,
+    "input_tokens": 14940,
+    "cached_input_tokens": 12032,
+    "output_tokens": 302,
+    "total_tokens": 15242,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 9691.67,
+    "sql_execution_elapsed_ms_total": 5.45,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..cbc8766649df8cd61da2504fd148ddbccee3f95c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:28:39.691278+00:00",
+  "ended_at": "2026-05-19T15:28:49.382986+00:00",
+  "elapsed_ms": 9691.67,
+  "prompt_metrics": {
+    "chars": 9389,
+    "bytes_utf8": 9389,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 731,
+    "bytes_utf8": 731,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 377,
+      "bytes_utf8": 377,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14940,
+      "cached_input_tokens": 12032,
+      "output_tokens": 302,
+      "reasoning_output_tokens": 198
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..86bf06a7d30571976374b683a985a714b2aff351
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_2, measure_col=feature_2.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "feature_2",
+    "measure_col": "feature_2",
+    "top_k": 11,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 100.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d94e22cd9abbbf041e0dfe47500191a90014fb8e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40da-7819-7b90-b65b-48702ce799b4"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_2\\\", SUM(CAST(\\\"feature_2\\\" AS REAL)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_2\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the Grouped Numeric Sum template with group_col=\\\"feature_2\\\" and measure_col=\\\"feature_2\\\". Used CAST to REAL because the SQLite schema stores numeric-looking fields as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14940,"cached_input_tokens":12032,"output_tokens":302,"reasoning_output_tokens":198}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4debe1720ab58d54556146d3a60d576db2acfd55
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_2\", SUM(CAST(\"feature_2\" AS REAL)) AS total_measure\nFROM \"n9\"\nGROUP BY \"feature_2\"\nORDER BY total_measure DESC;","notes":"Applied the Grouped Numeric Sum template with group_col=\"feature_2\" and measure_col=\"feature_2\". Used CAST to REAL because the SQLite schema stores numeric-looking fields as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..1ed84429aaa10558bbc8ec8a0a8a5d3c110954aa
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9389, "bytes_utf8": 9389, "lines": 300, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 376, "bytes_utf8": 376, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 452, "reasoning_output_tokens": 345}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..7ee7a5048a589ca22aa49df503cd410b73cc7564
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_12f479947839f0dd",
+    "api_calls": 0,
+    "input_tokens": 14940,
+    "cached_input_tokens": 12032,
+    "output_tokens": 452,
+    "total_tokens": 15392,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 10516.94,
+    "sql_execution_elapsed_ms_total": 6.4,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..bae264c46ae2df3ba708ef6be1afdc23039fb867
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:29:42.313273+00:00",
+  "ended_at": "2026-05-19T15:29:52.830251+00:00",
+  "elapsed_ms": 10516.94,
+  "prompt_metrics": {
+    "chars": 9389,
+    "bytes_utf8": 9389,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 738,
+    "bytes_utf8": 738,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 376,
+      "bytes_utf8": 376,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14940,
+      "cached_input_tokens": 12032,
+      "output_tokens": 452,
+      "reasoning_output_tokens": 345
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..29bebad68668d0c1d29ee62ff66dd2e79d2a8125
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_5, measure_col=feature_5.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "feature_5",
+    "measure_col": "feature_5",
+    "top_k": 14,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 78.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c0896b327f8bdcbcc18ff125579b4c2d69ff2afe
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40db-6cc4-7652-abb0-adc90be87e97"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_5\\\", SUM(CAST(\\\"feature_5\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_5\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the planned Grouped Numeric Sum template with group_col=\\\"feature_5\\\" and measure_col=\\\"feature_5\\\". CAST was added because the schema stores feature columns as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14940,"cached_input_tokens":12032,"output_tokens":452,"reasoning_output_tokens":345}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..acb3460bd5920c208015065d6676f71afd25abb4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_5\", SUM(CAST(\"feature_5\" AS NUMERIC)) AS \"total_measure\"\nFROM \"n9\"\nGROUP BY \"feature_5\"\nORDER BY \"total_measure\" DESC;","notes":"Used the planned Grouped Numeric Sum template with group_col=\"feature_5\" and measure_col=\"feature_5\". CAST was added because the schema stores feature columns as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..572f5acde2d9362eecc57480bd3966e8975e9e0a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9389, "bytes_utf8": 9389, "lines": 300, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 369, "bytes_utf8": 369, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 0, "output_tokens": 339, "reasoning_output_tokens": 239}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..20dca87bd66a734185f5559df13bab8a863f6f40
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_2727e77385815a8a",
+    "api_calls": 0,
+    "input_tokens": 14940,
+    "cached_input_tokens": 0,
+    "output_tokens": 339,
+    "total_tokens": 15279,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 10858.73,
+    "sql_execution_elapsed_ms_total": 4.99,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..91c34b330eceb30cdfcdbdfd38426c6ce7b5c211
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:28:18.231058+00:00",
+  "ended_at": "2026-05-19T15:28:29.089825+00:00",
+  "elapsed_ms": 10858.73,
+  "prompt_metrics": {
+    "chars": 9389,
+    "bytes_utf8": 9389,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 715,
+    "bytes_utf8": 715,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 369,
+      "bytes_utf8": 369,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14940,
+      "cached_input_tokens": 0,
+      "output_tokens": 339,
+      "reasoning_output_tokens": 239
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3d5a65cf4095f34319b709135ff5034ede9aca8d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_1, measure_col=feature_1.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_1",
+    "top_k": 10,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 65.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d0b031632fcec9834428c7e4f4f778a5909661db
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40da-24ef-7bb1-9182-d9762a434e62"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_1\\\", SUM(CAST(\\\"feature_1\\\" AS REAL)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the requested Grouped Numeric Sum template with group_col and measure_col both bound to \\\"feature_1\\\". CAST is included because the schema stores feature columns as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14940,"cached_input_tokens":0,"output_tokens":339,"reasoning_output_tokens":239}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ecce4400f8d3af4890e07ca15b3c063bdfa502c5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_1\", SUM(CAST(\"feature_1\" AS REAL)) AS total_measure\nFROM \"n9\"\nGROUP BY \"feature_1\"\nORDER BY total_measure DESC;","notes":"Used the requested Grouped Numeric Sum template with group_col and measure_col both bound to \"feature_1\". CAST is included because the schema stores feature columns as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..4867c9ba819a8d51bb367081e65511308a84fa32
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_3686b40feb657bbe",
+    "api_calls": 0,
+    "input_tokens": 15060,
+    "cached_input_tokens": 12032,
+    "output_tokens": 710,
+    "total_tokens": 15770,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 14696.89,
+    "sql_execution_elapsed_ms_total": 43.22,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..aead2e2c51a7cb65af50c7e5a495e1fc9d90d8bf
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:36:11.574975+00:00",
+  "ended_at": "2026-05-19T15:36:26.271895+00:00",
+  "elapsed_ms": 14696.89,
+  "prompt_metrics": {
+    "chars": 9807,
+    "bytes_utf8": 9807,
+    "lines": 302,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1035,
+    "bytes_utf8": 1035,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 653,
+      "bytes_utf8": 653,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15060,
+      "cached_input_tokens": 12032,
+      "output_tokens": 710,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0c8d6e1d2080e61a02dfc639529a7bd7537dbd75
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,302 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_11, measure_col=feature_12.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "feature_11",
+    "measure_col": "feature_12",
+    "item_col": "feature_13",
+    "top_k": 17,
+    "top_n": 7,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 48.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3faa7c09075480e6d10096723e4b09e86c6b8c07
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e1-5d45-7050-a17e-5225d6b53ff7"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"feature_11\\\",\\n  \\\"feature_13\\\",\\n  SUM(CAST(\\\"feature_12\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"feature_12\\\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\\\"feature_12\\\" AS REAL))) OVER (PARTITION BY \\\"feature_11\\\"), 0) AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_11\\\", \\\"feature_13\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided Within-Group Share of Total template with group_col=\\\"feature_11\\\", item_col=\\\"feature_13\\\", and measure_col=\\\"feature_12\\\". Cast the measure from TEXT to REAL for numeric aggregation and used NULLIF to avoid division-by-zero.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15060,"cached_input_tokens":12032,"output_tokens":710,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..6e48a07a57f538c44ff6e79425c2ebc31db7bd21
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:09:10.185432+00:00",
+  "ended_at": "2026-05-19T16:09:13.535320+00:00",
+  "elapsed_ms": 3349.86,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 9474,
+    "bytes_utf8": 9474,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..cdaa16669471164f1478358c80f07140faa05d29
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:09:14.537089+00:00",
+  "ended_at": "2026-05-19T16:09:18.017276+00:00",
+  "elapsed_ms": 3480.16,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 9474,
+    "bytes_utf8": 9474,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6e5a6f74dd17219a805bedc37975d2cfbbfac066
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=feature_1, measure_col=feature_9.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_9",
+    "top_k": 16,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 80.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6e5a6f74dd17219a805bedc37975d2cfbbfac066
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=feature_1, measure_col=feature_9.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_9",
+    "top_k": 16,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 80.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e0fba690a812a5e92db3f9f2905806753bb7d81a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ff-8e44-7582-bf66-b49e656d3851"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b76df4c9fb7a29b31fb452c7b5085fa5783e95ac
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ff-8e44-7582-bf66-b49e656d3851"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e1a47da3846b70f7261628ac4b8831fb1d390b32
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ff-9f0f-7ad1-9e27-08c00542ae15"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a1214a8a48a755e4e8ee183bd297e5bbd2c674db
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_response_attempt_2.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ff-9f0f-7ad1-9e27-08c00542ae15"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..643ab234c67ef3e5d8326b4ed450ef03a48d3b05
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9570, "bytes_utf8": 9570, "lines": 300, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1110, "bytes_utf8": 1110, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 12032, "output_tokens": 1253, "reasoning_output_tokens": 906}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..c56ba3dea98a7e567d7c85a927dca3adf1158227
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_3c78db7d546d3bfe",
+    "api_calls": 0,
+    "input_tokens": 14978,
+    "cached_input_tokens": 12032,
+    "output_tokens": 1253,
+    "total_tokens": 16231,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 21194.37,
+    "sql_execution_elapsed_ms_total": 26.25,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..aff53b4dffe945ce5eebe7025dc0efc9f1fd63f9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:55:51.836258+00:00",
+  "ended_at": "2026-05-19T15:56:13.030654+00:00",
+  "elapsed_ms": 21194.37,
+  "prompt_metrics": {
+    "chars": 9570,
+    "bytes_utf8": 9570,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1599,
+    "bytes_utf8": 1599,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 1110,
+      "bytes_utf8": 1110,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14978,
+      "cached_input_tokens": 12032,
+      "output_tokens": 1253,
+      "reasoning_output_tokens": 906
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f190c4f84c5bee599f7d8905ca20afd5313d73de
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_6, measure_col=feature_11.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "feature_6",
+    "measure_col": "feature_11",
+    "top_k": 10,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 97.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b0ac7f9ad580ed6c2e1e84b469ffdebf9874fee7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-5faa-78f1-876a-e31dc0ad0320"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n  SELECT\\n    \\\"feature_6\\\",\\n    CAST(\\\"feature_11\\\" AS REAL) AS \\\"measure_value\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"feature_6\\\"\\n      ORDER BY CAST(\\\"feature_11\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"feature_6\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"n9\\\"\\n  WHERE \\\"feature_6\\\" IS NOT NULL\\n    AND \\\"feature_11\\\" IS NOT NULL\\n),\\n\\\"target_rows\\\" AS (\\n  SELECT\\n    \\\"feature_6\\\",\\n    \\\"measure_value\\\",\\n    \\\"rn\\\",\\n    \\\"cnt\\\",\\n    CAST((0.95 * \\\"cnt\\\") AS INTEGER) +\\n      CASE\\n        WHEN (0.95 * \\\"cnt\\\") > CAST((0.95 * \\\"cnt\\\") AS INTEGER) THEN 1\\n        ELSE 0\\n      END AS \\\"target_rn\\\"\\n  FROM \\\"ranked\\\"\\n)\\nSELECT\\n  \\\"feature_6\\\",\\n  \\\"measure_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"target_rows\\\"\\nWHERE \\\"rn\\\" = \\\"target_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"feature_6\\\";\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses the nearest-rank 95th percentile for each \\\"feature_6\\\" group after casting the TEXT measure column \\\"feature_11\\\" to REAL.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14978,"cached_input_tokens":12032,"output_tokens":1253,"reasoning_output_tokens":906}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1be0a592286d8099eb09071b79298e8b5a779da9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n  SELECT\n    \"feature_6\",\n    CAST(\"feature_11\" AS REAL) AS \"measure_value\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"feature_6\"\n      ORDER BY CAST(\"feature_11\" AS REAL)\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY \"feature_6\"\n    ) AS \"cnt\"\n  FROM \"n9\"\n  WHERE \"feature_6\" IS NOT NULL\n    AND \"feature_11\" IS NOT NULL\n),\n\"target_rows\" AS (\n  SELECT\n    \"feature_6\",\n    \"measure_value\",\n    \"rn\",\n    \"cnt\",\n    CAST((0.95 * \"cnt\") AS INTEGER) +\n      CASE\n        WHEN (0.95 * \"cnt\") > CAST((0.95 * \"cnt\") AS INTEGER) THEN 1\n        ELSE 0\n      END AS \"target_rn\"\n  FROM \"ranked\"\n)\nSELECT\n  \"feature_6\",\n  \"measure_value\" AS \"percentile_measure\"\nFROM \"target_rows\"\nWHERE \"rn\" = \"target_rn\"\nORDER BY \"percentile_measure\" DESC, \"feature_6\";","notes":"SQLite does not support PERCENTILE_CONT, so this uses the nearest-rank 95th percentile for each \"feature_6\" group after casting the TEXT measure column \"feature_11\" to REAL."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..93bd2133023f44aefa5b582d5671492557a8c5ec
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10187, "bytes_utf8": 10187, "lines": 303, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 639, "bytes_utf8": 639, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15145, "cached_input_tokens": 13696, "output_tokens": 380, "reasoning_output_tokens": 201}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..27f275493bd0a4b069a82221110636df9eaa621c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_43313e963e22625a",
+    "api_calls": 0,
+    "input_tokens": 15145,
+    "cached_input_tokens": 13696,
+    "output_tokens": 380,
+    "total_tokens": 15525,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 9882.9,
+    "sql_execution_elapsed_ms_total": 6.18,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..ee66b74ade781b846362152a0dc7827c2e5e8888
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:39:40.638602+00:00",
+  "ended_at": "2026-05-19T15:39:50.521523+00:00",
+  "elapsed_ms": 9882.9,
+  "prompt_metrics": {
+    "chars": 10187,
+    "bytes_utf8": 10187,
+    "lines": 303,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1008,
+    "bytes_utf8": 1008,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 639,
+      "bytes_utf8": 639,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15145,
+      "cached_input_tokens": 13696,
+      "output_tokens": 380,
+      "reasoning_output_tokens": 201
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7fc3c470c7aa864bb039a02aa1d2e72199d990cc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,303 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_3, condition_col=class.",
+  "planned_template_id": "tpl_m4_group_ratio_two_conditions",
+  "bindings": {
+    "group_col": "feature_3",
+    "condition_col": "class",
+    "condition_value": "2",
+    "positive_value": "2",
+    "negative_value": "4",
+    "top_k": 11,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 78.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a15d98feab7ed0ddf82aeace9ebd433aea44b46d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e4-8dd1-79d3-ba10-1e223b561dc8"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT \\\"feature_3\\\",\\n           SUM(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"n9\\\"\\n    GROUP BY \\\"feature_3\\\"\\n)\\nSELECT \\\"feature_3\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Used the planned grouped ratio template with group_col bound to \\\"feature_3\\\" and condition_col bound to \\\"class\\\", comparing class '2' against class '4'.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15145,"cached_input_tokens":13696,"output_tokens":380,"reasoning_output_tokens":201}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..fcde3736c6a068fffc36ba5fea4a5af27fe93c25
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n    SELECT \"feature_3\",\n           SUM(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS denominator_count\n    FROM \"n9\"\n    GROUP BY \"feature_3\"\n)\nSELECT \"feature_3\",\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Used the planned grouped ratio template with group_col bound to \"feature_3\" and condition_col bound to \"class\", comparing class '2' against class '4'."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..ce8afd400c5cb08faece6a360d8588c0f669fea1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9570, "bytes_utf8": 9570, "lines": 300, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1795, "bytes_utf8": 1795, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 12032, "output_tokens": 1134, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..ea11ea951af20dcb062ec1f3d18d38a30a61c0e1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_4ffbe007bffba04b",
+    "api_calls": 0,
+    "input_tokens": 14978,
+    "cached_input_tokens": 12032,
+    "output_tokens": 1134,
+    "total_tokens": 16112,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 24272.05,
+    "sql_execution_elapsed_ms_total": 41.41,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f0fc53653f60d666ee5ddfdd45d87418c52b658
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:53:23.949833+00:00",
+  "ended_at": "2026-05-19T15:53:48.221901+00:00",
+  "elapsed_ms": 24272.05,
+  "prompt_metrics": {
+    "chars": 9570,
+    "bytes_utf8": 9570,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 2385,
+    "bytes_utf8": 2385,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 1795,
+      "bytes_utf8": 1795,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14978,
+      "cached_input_tokens": 12032,
+      "output_tokens": 1134,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0201aec0888f88adb8c087af2b4e77020a5e955d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_3, measure_col=feature_8.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_8",
+    "top_k": 17,
+    "top_n": 7,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 57.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7bdee0fa38bb76db1032af5e9844d0bad2be61c6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f1-1de2-7942-bc4c-fb757ec7baee"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n  SELECT\\n    \\\"feature_3\\\" AS \\\"group_col\\\",\\n    CAST(\\\"feature_8\\\" AS REAL) AS \\\"measure_val\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"feature_3\\\"\\n      ORDER BY CAST(\\\"feature_8\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"feature_3\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"n9\\\"\\n  WHERE \\\"feature_3\\\" IS NOT NULL\\n    AND \\\"feature_8\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n  SELECT DISTINCT\\n    \\\"group_col\\\",\\n    (1.0 + (\\\"cnt\\\" - 1) * 0.95) AS \\\"pos\\\",\\n    CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER) AS \\\"lower_rn\\\",\\n    CASE\\n      WHEN (1.0 + (\\\"cnt\\\" - 1) * 0.95) = CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER)\\n        THEN CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER)\\n      ELSE CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER) + 1\\n    END AS \\\"upper_rn\\\"\\n  FROM \\\"ordered\\\"\\n)\\nSELECT\\n  p.\\\"group_col\\\" AS \\\"feature_3\\\",\\n  CASE\\n    WHEN p.\\\"lower_rn\\\" = p.\\\"upper_rn\\\" THEN MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure_val\\\" END)\\n    ELSE\\n      MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure_val\\\" END) +\\n      (p.\\\"pos\\\" - p.\\\"lower_rn\\\") * (\\n        MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"measure_val\\\" END) -\\n        MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure_val\\\" END)\\n      )\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"positions\\\" AS p\\nJOIN \\\"ordered\\\" AS o\\n  ON o.\\\"group_col\\\" = p.\\\"group_col\\\"\\nGROUP BY p.\\\"group_col\\\", p.\\\"pos\\\", p.\\\"lower_rn\\\", p.\\\"upper_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite-compatible rewrite of the grouped percentile template, using window functions and linear interpolation to emulate PERCENTILE_CONT(0.95) for \\\"feature_8\\\" within each \\\"feature_3\\\" group.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14978,"cached_input_tokens":12032,"output_tokens":1134,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..08f214444f449a1aa3c73fd3cab3548fd6541d23
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n  SELECT\n    \"feature_3\" AS \"group_col\",\n    CAST(\"feature_8\" AS REAL) AS \"measure_val\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"feature_3\"\n      ORDER BY CAST(\"feature_8\" AS REAL)\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY \"feature_3\"\n    ) AS \"cnt\"\n  FROM \"n9\"\n  WHERE \"feature_3\" IS NOT NULL\n    AND \"feature_8\" IS NOT NULL\n),\n\"positions\" AS (\n  SELECT DISTINCT\n    \"group_col\",\n    (1.0 + (\"cnt\" - 1) * 0.95) AS \"pos\",\n    CAST((1.0 + (\"cnt\" - 1) * 0.95) AS INTEGER) AS \"lower_rn\",\n    CASE\n      WHEN (1.0 + (\"cnt\" - 1) * 0.95) = CAST((1.0 + (\"cnt\" - 1) * 0.95) AS INTEGER)\n        THEN CAST((1.0 + (\"cnt\" - 1) * 0.95) AS INTEGER)\n      ELSE CAST((1.0 + (\"cnt\" - 1) * 0.95) AS INTEGER) + 1\n    END AS \"upper_rn\"\n  FROM \"ordered\"\n)\nSELECT\n  p.\"group_col\" AS \"feature_3\",\n  CASE\n    WHEN p.\"lower_rn\" = p.\"upper_rn\" THEN MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure_val\" END)\n    ELSE\n      MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure_val\" END) +\n      (p.\"pos\" - p.\"lower_rn\") * (\n        MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"measure_val\" END) -\n        MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure_val\" END)\n      )\n  END AS \"percentile_measure\"\nFROM \"positions\" AS p\nJOIN \"ordered\" AS o\n  ON o.\"group_col\" = p.\"group_col\"\nGROUP BY p.\"group_col\", p.\"pos\", p.\"lower_rn\", p.\"upper_rn\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite-compatible rewrite of the grouped percentile template, using window functions and linear interpolation to emulate PERCENTILE_CONT(0.95) for \"feature_8\" within each \"feature_3\" group."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..5b7ac3ddba48649200a12bc2edc6e8cc73d51368
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9798, "bytes_utf8": 9798, "lines": 302, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 789, "bytes_utf8": 789, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15059, "cached_input_tokens": 13696, "output_tokens": 1185, "reasoning_output_tokens": 952}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..964e569ab41e47440de888c11ca914c3cac44364
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_5439ef3aaead0361",
+    "api_calls": 0,
+    "input_tokens": 15059,
+    "cached_input_tokens": 13696,
+    "output_tokens": 1185,
+    "total_tokens": 16244,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 23572.46,
+    "sql_execution_elapsed_ms_total": 27.28,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..7cceff2047561c6301d85ff7592749140bb3f758
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:34:26.623709+00:00",
+  "ended_at": "2026-05-19T15:34:50.196208+00:00",
+  "elapsed_ms": 23572.46,
+  "prompt_metrics": {
+    "chars": 9798,
+    "bytes_utf8": 9798,
+    "lines": 302,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1212,
+    "bytes_utf8": 1212,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 789,
+      "bytes_utf8": 789,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15059,
+      "cached_input_tokens": 13696,
+      "output_tokens": 1185,
+      "reasoning_output_tokens": 952
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..38d8c4e0129b11eea350e607e596ea87e3ddb348
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,302 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_8, measure_col=feature_9.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "feature_8",
+    "measure_col": "feature_9",
+    "item_col": "feature_10",
+    "top_k": 19,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 80.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6b911f0a86f56cd74021522c8462813aac6494c5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40df-c336-7f10-8066-841e4c8145f2"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nWITH \\\"grouped\\\" AS (\\n  SELECT\\n    \\\"feature_8\\\",\\n    \\\"feature_10\\\",\\n    SUM(CAST(\\\"feature_9\\\" AS REAL)) AS \\\"total_measure\\\"\\n  FROM \\\"n9\\\"\\n  GROUP BY \\\"feature_8\\\", \\\"feature_10\\\"\\n)\\nSELECT\\n  \\\"feature_8\\\",\\n  \\\"feature_10\\\",\\n  \\\"total_measure\\\",\\n  \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"feature_8\\\") AS \\\"share_within_group\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 19;\",\"notes\":\"Applied the Within-Group Share of Total template with \\\"feature_8\\\" as the group column, \\\"feature_10\\\" as the item column, and \\\"feature_9\\\" as the measure column. CAST to REAL is used because the schema stores numeric features as TEXT. LIMIT 19 reflects the provided top_k binding.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15059,"cached_input_tokens":13696,"output_tokens":1185,"reasoning_output_tokens":952}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..35ab25c7a7182bbca075d0d518a041746945335c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nWITH \"grouped\" AS (\n  SELECT\n    \"feature_8\",\n    \"feature_10\",\n    SUM(CAST(\"feature_9\" AS REAL)) AS \"total_measure\"\n  FROM \"n9\"\n  GROUP BY \"feature_8\", \"feature_10\"\n)\nSELECT\n  \"feature_8\",\n  \"feature_10\",\n  \"total_measure\",\n  \"total_measure\" * 100.0 / SUM(\"total_measure\") OVER (PARTITION BY \"feature_8\") AS \"share_within_group\"\nFROM \"grouped\"\nORDER BY \"share_within_group\" DESC\nLIMIT 19;","notes":"Applied the Within-Group Share of Total template with \"feature_8\" as the group column, \"feature_10\" as the item column, and \"feature_9\" as the measure column. CAST to REAL is used because the schema stores numeric features as TEXT. LIMIT 19 reflects the provided top_k binding."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..63756ba2333a794c1929f0f781c65a9c98b35b65
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9558, "bytes_utf8": 9558, "lines": 298, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 508, "bytes_utf8": 508, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14991, "cached_input_tokens": 12032, "output_tokens": 395, "reasoning_output_tokens": 249}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..bb9c45a07057ae3e6eae5eb0544b8a406106163c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_55f4f921dbe66dcd",
+    "api_calls": 0,
+    "input_tokens": 14991,
+    "cached_input_tokens": 12032,
+    "output_tokens": 395,
+    "total_tokens": 15386,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 30336.01,
+    "sql_execution_elapsed_ms_total": 16.17,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..194eeeba6292d3be5b4fd7041820a284f75ccab5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:44:39.683960+00:00",
+  "ended_at": "2026-05-19T15:45:10.020026+00:00",
+  "elapsed_ms": 30336.01,
+  "prompt_metrics": {
+    "chars": 9558,
+    "bytes_utf8": 9558,
+    "lines": 298,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1297,
+    "bytes_utf8": 1297,
+    "lines": 6,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 508,
+      "bytes_utf8": 508,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14991,
+      "cached_input_tokens": 12032,
+      "output_tokens": 395,
+      "reasoning_output_tokens": 249
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c33fc798a8a52026a4497af22416b738179bb259
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,298 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_1.",
+  "planned_template_id": "tpl_m4_quantile_tail_slice",
+  "bindings": {
+    "measure_col": "feature_1",
+    "top_k": 14,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 65.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8d5464cfd8c523a571226f48906566bc93a55b5f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,6 @@
+{"type":"thread.started","thread_id":"019e40e9-1dff-7762-853a-5c263cec2817"}
+{"type":"turn.started"}
+{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15626. Please try again in 468ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"error","message":"Reconnecting... 3/5 (timeout waiting for child process to exit)"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n    SELECT \\\"feature_1\\\",\\n           NTILE(10) OVER (ORDER BY CAST(\\\"feature_1\\\" AS REAL) DESC) AS tail_bucket\\n    FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_1\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"feature_1\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"feature_1\\\" and num_tiles=10. Cast \\\"feature_1\\\" to REAL for numeric tail bucketing because the schema stores it as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14991,"cached_input_tokens":12032,"output_tokens":395,"reasoning_output_tokens":249}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..00a417a69cec5169eaad91cb948ccd55b654df6f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n    SELECT \"feature_1\",\n           NTILE(10) OVER (ORDER BY CAST(\"feature_1\" AS REAL) DESC) AS tail_bucket\n    FROM \"n9\"\n)\nSELECT \"feature_1\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"feature_1\" AS REAL) DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to \"feature_1\" and num_tiles=10. Cast \"feature_1\" to REAL for numeric tail bucketing because the schema stores it as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..35881c4477ca1288ede9194103b0253ae04da154
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9558, "bytes_utf8": 9558, "lines": 298, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 548, "bytes_utf8": 548, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14991, "cached_input_tokens": 13696, "output_tokens": 421, "reasoning_output_tokens": 270}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..1f11aa7460a344be5e14afae312aca15194fdb14
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_7d2fbbac0e070940",
+    "api_calls": 0,
+    "input_tokens": 14991,
+    "cached_input_tokens": 13696,
+    "output_tokens": 421,
+    "total_tokens": 15412,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 9906.86,
+    "sql_execution_elapsed_ms_total": 17.02,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..1dca2173c6d076ea5b64330a36b62edaf3a2d0e4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:45:10.040350+00:00",
+  "ended_at": "2026-05-19T15:45:19.947241+00:00",
+  "elapsed_ms": 9906.86,
+  "prompt_metrics": {
+    "chars": 9558,
+    "bytes_utf8": 9558,
+    "lines": 298,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 908,
+    "bytes_utf8": 908,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 548,
+      "bytes_utf8": 548,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14991,
+      "cached_input_tokens": 13696,
+      "output_tokens": 421,
+      "reasoning_output_tokens": 270
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..631d1818ae76fd357df97149536550b32a745095
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,298 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_2.",
+  "planned_template_id": "tpl_m4_quantile_tail_slice",
+  "bindings": {
+    "measure_col": "feature_2",
+    "top_k": 10,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 100.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..886e0638cd5c8101d57a67924fca3d23bf99cecc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e9-94c0-7ce1-9b2d-af70685a26c7"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n    SELECT\\n        \\\"feature_2\\\",\\n        NTILE(10) OVER (ORDER BY CAST(\\\"feature_2\\\" AS REAL) DESC) AS tail_bucket\\n    FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_2\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"feature_2\\\" AS REAL) DESC;\",\"notes\":\"Used the requested Quantile Tail Slice template with measure_col bound to \\\"feature_2\\\" and num_tiles=10. CAST to REAL is applied because the schema stores features as TEXT, and numeric ordering is needed for the tail slice.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14991,"cached_input_tokens":13696,"output_tokens":421,"reasoning_output_tokens":270}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f42ef0408605ba569d6505d38bc80e8c3888b769
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n    SELECT\n        \"feature_2\",\n        NTILE(10) OVER (ORDER BY CAST(\"feature_2\" AS REAL) DESC) AS tail_bucket\n    FROM \"n9\"\n)\nSELECT \"feature_2\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"feature_2\" AS REAL) DESC;","notes":"Used the requested Quantile Tail Slice template with measure_col bound to \"feature_2\" and num_tiles=10. CAST to REAL is applied because the schema stores features as TEXT, and numeric ordering is needed for the tail slice."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..790727b414e94490032d1d672cf7200c1eee930d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9697, "bytes_utf8": 9697, "lines": 304, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 380, "bytes_utf8": 380, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15031, "cached_input_tokens": 12032, "output_tokens": 412, "reasoning_output_tokens": 299}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..e796057fb9f4c8c2f92808606a2e1b98310a5d77
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_8055a54c784a3fc2",
+    "api_calls": 0,
+    "input_tokens": 15031,
+    "cached_input_tokens": 12032,
+    "output_tokens": 412,
+    "total_tokens": 15443,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 12372.9,
+    "sql_execution_elapsed_ms_total": 2.28,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..d4d6ecfc8d9663a3bf51c89bad1588bef89d9c47
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:41:44.513587+00:00",
+  "ended_at": "2026-05-19T15:41:56.886522+00:00",
+  "elapsed_ms": 12372.9,
+  "prompt_metrics": {
+    "chars": 9697,
+    "bytes_utf8": 9697,
+    "lines": 304,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 747,
+    "bytes_utf8": 747,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 380,
+      "bytes_utf8": 380,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15031,
+      "cached_input_tokens": 12032,
+      "output_tokens": 412,
+      "reasoning_output_tokens": 299
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f67f0a373b300b1c000417b62da214b860412db1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,304 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=feature_4, group_col_2=feature_10.",
+  "planned_template_id": "tpl_c2_filtered_group_count_2d",
+  "bindings": {
+    "group_col": "feature_4",
+    "group_col_2": "feature_10",
+    "predicate_col": "class",
+    "predicate_op": "=",
+    "predicate_value": "0",
+    "top_k": 10,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 58.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6eb3a8a19a66bbbe6e1751e38a68053ff6548d08
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e6-71bf-7c02-9822-862afca7c52d"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_10\\\", COUNT(*) AS row_count\\nFROM \\\"n9\\\"\\nWHERE \\\"class\\\" = '0'\\nGROUP BY \\\"feature_4\\\", \\\"feature_10\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned filtered two-dimensional group count template, filtering rows where \\\"class\\\" = '0' and grouping by \\\"feature_4\\\" and \\\"feature_10\\\".\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15031,"cached_input_tokens":12032,"output_tokens":412,"reasoning_output_tokens":299}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0e2b58e25815465e8b02cbcf4e88aed540e6cb49
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"feature_4\", \"feature_10\", COUNT(*) AS row_count\nFROM \"n9\"\nWHERE \"class\" = '0'\nGROUP BY \"feature_4\", \"feature_10\"\nORDER BY row_count DESC;","notes":"Uses the planned filtered two-dimensional group count template, filtering rows where \"class\" = '0' and grouping by \"feature_4\" and \"feature_10\"."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..72e370b011de92de2e4651a1de3b8dfeb305328f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9704, "bytes_utf8": 9704, "lines": 304, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 497, "bytes_utf8": 497, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15036, "cached_input_tokens": 12032, "output_tokens": 659, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..be3f2f44df0ad4ed93cecafdf7cd0a2940f9c193
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_8e1d994c189ea724",
+    "api_calls": 0,
+    "input_tokens": 15036,
+    "cached_input_tokens": 12032,
+    "output_tokens": 659,
+    "total_tokens": 15695,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 15188.48,
+    "sql_execution_elapsed_ms_total": 6.31,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..09b25a81a647e11d137288e4b845767311704e1d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:42:44.839603+00:00",
+  "ended_at": "2026-05-19T15:43:00.028116+00:00",
+  "elapsed_ms": 15188.48,
+  "prompt_metrics": {
+    "chars": 9704,
+    "bytes_utf8": 9704,
+    "lines": 304,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 872,
+    "bytes_utf8": 872,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 497,
+      "bytes_utf8": 497,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15036,
+      "cached_input_tokens": 12032,
+      "output_tokens": 659,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..385cf736ebbf903fd17b74168daf3375824a32ad
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,304 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=feature_4, group_col_2=feature_14.",
+  "planned_template_id": "tpl_c2_filtered_group_count_2d",
+  "bindings": {
+    "group_col": "feature_4",
+    "group_col_2": "feature_14",
+    "predicate_col": "feature_4",
+    "predicate_op": ">=",
+    "predicate_value": 100.0,
+    "top_k": 14,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 74.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ec809be604d75cf8a6e20ac0523a66231e2cf9a8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e7-5d77-77f2-8c64-cb015389d6f5"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_14\\\", COUNT(*) AS row_count\\nFROM \\\"n9\\\"\\nWHERE CAST(\\\"feature_4\\\" AS REAL) >= 100.0\\nGROUP BY \\\"feature_4\\\", \\\"feature_14\\\"\\nORDER BY row_count DESC, \\\"feature_4\\\", \\\"feature_14\\\";\",\"notes\":\"Used the planned Filtered Two-Dimensional Group Count template with \\\"feature_4\\\" and \\\"feature_14\\\" as the grouping columns. The filter casts \\\"feature_4\\\" to REAL because the schema stores feature columns as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15036,"cached_input_tokens":12032,"output_tokens":659,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..889adf1a043fd7dcc19c67ecd1997600c68b5e7d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"feature_4\", \"feature_14\", COUNT(*) AS row_count\nFROM \"n9\"\nWHERE CAST(\"feature_4\" AS REAL) >= 100.0\nGROUP BY \"feature_4\", \"feature_14\"\nORDER BY row_count DESC, \"feature_4\", \"feature_14\";","notes":"Used the planned Filtered Two-Dimensional Group Count template with \"feature_4\" and \"feature_14\" as the grouping columns. The filter casts \"feature_4\" to REAL because the schema stores feature columns as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..0344bcdbc4ac945e516712bdf9fbd6f4f970e8d8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9801, "bytes_utf8": 9801, "lines": 302, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 661, "bytes_utf8": 661, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15060, "cached_input_tokens": 13696, "output_tokens": 607, "reasoning_output_tokens": 409}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..dbbb0d1804ce57497272bb0321597e58799b6716
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_8e2ef544a2699965",
+    "api_calls": 0,
+    "input_tokens": 15060,
+    "cached_input_tokens": 13696,
+    "output_tokens": 607,
+    "total_tokens": 15667,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 11249.02,
+    "sql_execution_elapsed_ms_total": 35.61,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..d0074022e2cd9e9c0913fb905c991d97c4d1e6d4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:34:15.331388+00:00",
+  "ended_at": "2026-05-19T15:34:26.580459+00:00",
+  "elapsed_ms": 11249.02,
+  "prompt_metrics": {
+    "chars": 9801,
+    "bytes_utf8": 9801,
+    "lines": 302,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1048,
+    "bytes_utf8": 1048,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 661,
+      "bytes_utf8": 661,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15060,
+      "cached_input_tokens": 13696,
+      "output_tokens": 607,
+      "reasoning_output_tokens": 409
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..bc48e3e2607061be0ef0a9b8dcc5a41ab0ad79b0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,302 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_8, measure_col=feature_9.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "feature_8",
+    "measure_col": "feature_9",
+    "item_col": "feature_10",
+    "top_k": 14,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 89.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4e924c3cf84910c280ef5455f1ae225d43964252
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40df-9719-7e71-86e2-9ca308f1f8aa"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"feature_8\\\",\\n  \\\"feature_10\\\",\\n  SUM(CAST(\\\"feature_9\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"feature_9\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_9\\\" AS REAL))) OVER (PARTITION BY \\\"feature_8\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_8\\\", \\\"feature_10\\\"\\nORDER BY share_within_group DESC\\nLIMIT 14;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"feature_8\\\", item_col=\\\"feature_10\\\", and measure_col=\\\"feature_9\\\". Cast \\\"feature_9\\\" from TEXT to REAL for SQLite-safe numeric aggregation, and used LIMIT 14 from the provided top_k binding.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15060,"cached_input_tokens":13696,"output_tokens":607,"reasoning_output_tokens":409}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a18dcfeee74e81eb80a62a8f6ec5f08c6c242d79
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"feature_8\",\n  \"feature_10\",\n  SUM(CAST(\"feature_9\" AS REAL)) AS total_measure,\n  SUM(CAST(\"feature_9\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_9\" AS REAL))) OVER (PARTITION BY \"feature_8\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_8\", \"feature_10\"\nORDER BY share_within_group DESC\nLIMIT 14;","notes":"Applied the Within-Group Share of Total template with group_col=\"feature_8\", item_col=\"feature_10\", and measure_col=\"feature_9\". Cast \"feature_9\" from TEXT to REAL for SQLite-safe numeric aggregation, and used LIMIT 14 from the provided top_k binding."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..cbd2e8212ddf63a775ce0462dcb4993a1c3222ef
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9616, "bytes_utf8": 9616, "lines": 303, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 509, "bytes_utf8": 509, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14994, "cached_input_tokens": 13696, "output_tokens": 292, "reasoning_output_tokens": 158}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..44f1afe5cf058d3c56e0ac1c7aa848383dd032ea
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_9173874fab20c730",
+    "api_calls": 0,
+    "input_tokens": 14994,
+    "cached_input_tokens": 13696,
+    "output_tokens": 292,
+    "total_tokens": 15286,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 8447.33,
+    "sql_execution_elapsed_ms_total": 7.6,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..a7ba7ea3da7bba0140d4aaa55c5c39f78061f528
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:02:57.065748+00:00",
+  "ended_at": "2026-05-19T16:03:05.513107+00:00",
+  "elapsed_ms": 8447.33,
+  "prompt_metrics": {
+    "chars": 9616,
+    "bytes_utf8": 9616,
+    "lines": 303,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 864,
+    "bytes_utf8": 864,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 509,
+      "bytes_utf8": 509,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14994,
+      "cached_input_tokens": 13696,
+      "output_tokens": 292,
+      "reasoning_output_tokens": 158
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..885a4ec7fbcf274b65af31b4778f323cfc9fde01
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,303 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=class, condition_col=class.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "class",
+    "condition_col": "class",
+    "condition_value": "4",
+    "positive_value": "2",
+    "negative_value": "4",
+    "top_k": 16,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 86.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a8e311b5af2fe1ee369a02a0ff8c2f5fa9da8f94
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f9-dca2-72c1-9bad-a9a4f2beae4c"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"class\\\",\\n       AVG(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n9\\\"\\nGROUP BY \\\"class\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template exactly with group_col=\\\"class\\\" and condition_col=\\\"class\\\" using condition_value '4'. Because the grouping column and condition column are the same, the result is deterministic by class: class '4' gets 1.0 and other classes get 0.0.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14994,"cached_input_tokens":13696,"output_tokens":292,"reasoning_output_tokens":158}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8a025035d468a684cd3bf30ef79efffffae5f743
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"class\",\n       AVG(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n9\"\nGROUP BY \"class\"\nORDER BY condition_rate DESC;","notes":"Applied the provided Grouped Condition Rate template exactly with group_col=\"class\" and condition_col=\"class\" using condition_value '4'. Because the grouping column and condition column are the same, the result is deterministic by class: class '4' gets 1.0 and other classes get 0.0."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..4974335809fca89919a5d2d0227269078f7ba4f5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9945, "bytes_utf8": 9945, "lines": 300, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 717, "bytes_utf8": 717, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15076, "cached_input_tokens": 13696, "output_tokens": 594, "reasoning_output_tokens": 378}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..5672262b3340f5d38782e4790714fda3c514b3a3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_92494a79eccf8e23",
+    "api_calls": 0,
+    "input_tokens": 15076,
+    "cached_input_tokens": 13696,
+    "output_tokens": 594,
+    "total_tokens": 15670,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 11935.2,
+    "sql_execution_elapsed_ms_total": 6.54,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..20f046e781847a184887e02491564a0c4b69b35a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:47:06.065149+00:00",
+  "ended_at": "2026-05-19T15:47:18.000390+00:00",
+  "elapsed_ms": 11935.2,
+  "prompt_metrics": {
+    "chars": 9945,
+    "bytes_utf8": 9945,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1141,
+    "bytes_utf8": 1141,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 717,
+      "bytes_utf8": 717,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15076,
+      "cached_input_tokens": 13696,
+      "output_tokens": 594,
+      "reasoning_output_tokens": 378
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..46a174a5aaea031bb0983189d7a8e7d827889533
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_7, measure_col=feature_11.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "feature_7",
+    "measure_col": "feature_11",
+    "top_k": 14,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 97.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c5cbe24c1b9f60f2d2345a639ce85299bdc147df
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40eb-5a34-7443-9c5f-b36bc2d90882"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n  SELECT\\n    \\\"feature_7\\\",\\n    SUM(CAST(\\\"feature_11\\\" AS REAL)) AS \\\"group_value\\\"\\n  FROM \\\"n9\\\"\\n  GROUP BY \\\"feature_7\\\"\\n),\\n\\\"total\\\" AS (\\n  SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n  FROM \\\"grouped\\\"\\n)\\nSELECT\\n  g.\\\"feature_7\\\",\\n  g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\\\"feature_7\\\", measure_col=\\\"feature_11\\\", and fraction_threshold=0.1. Cast \\\"feature_11\\\" from TEXT to REAL for SQLite-safe aggregation.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15076,"cached_input_tokens":13696,"output_tokens":594,"reasoning_output_tokens":378}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..66764539ca70d347adee19343378c3a24e30acbf
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n  SELECT\n    \"feature_7\",\n    SUM(CAST(\"feature_11\" AS REAL)) AS \"group_value\"\n  FROM \"n9\"\n  GROUP BY \"feature_7\"\n),\n\"total\" AS (\n  SELECT SUM(\"group_value\") AS \"total_value\"\n  FROM \"grouped\"\n)\nSELECT\n  g.\"feature_7\",\n  g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\"feature_7\", measure_col=\"feature_11\", and fraction_threshold=0.1. Cast \"feature_11\" from TEXT to REAL for SQLite-safe aggregation."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..73929a9e2352336b4c51f657bc794ac9ef834104
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9948, "bytes_utf8": 9948, "lines": 300, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 702, "bytes_utf8": 702, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15078, "cached_input_tokens": 13696, "output_tokens": 725, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..9d129535bf88cc735c5c44b2e6781b3b0e51fe0b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_981d43287b097165",
+    "api_calls": 0,
+    "input_tokens": 15078,
+    "cached_input_tokens": 13696,
+    "output_tokens": 725,
+    "total_tokens": 15803,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 16975.56,
+    "sql_execution_elapsed_ms_total": 14.18,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..51118e0c507b36c4158d529328880a9d106484bd
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:49:20.822164+00:00",
+  "ended_at": "2026-05-19T15:49:37.797764+00:00",
+  "elapsed_ms": 16975.56,
+  "prompt_metrics": {
+    "chars": 9948,
+    "bytes_utf8": 9948,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1122,
+    "bytes_utf8": 1122,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 702,
+      "bytes_utf8": 702,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15078,
+      "cached_input_tokens": 13696,
+      "output_tokens": 725,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8206783c5b4b48f0962cb8d53abfd6222547a7b2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_12, measure_col=feature_16.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "feature_12",
+    "measure_col": "feature_16",
+    "top_k": 14,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 51.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4215f49232b0f938a0627894049ec92413ad25a2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ed-684e-7cc1-988c-e0dfcbea2e69"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n  SELECT\\n    \\\"feature_12\\\",\\n    SUM(CAST(\\\"feature_16\\\" AS REAL)) AS \\\"group_value\\\"\\n  FROM \\\"n9\\\"\\n  GROUP BY \\\"feature_12\\\"\\n),\\n\\\"total\\\" AS (\\n  SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n  FROM \\\"grouped\\\"\\n)\\nSELECT\\n  g.\\\"feature_12\\\",\\n  g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the requested Relative-to-Total Extreme Threshold template with group_col=\\\"feature_12\\\" and measure_col=\\\"feature_16\\\". CAST to REAL is used because the schema stores feature columns as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15078,"cached_input_tokens":13696,"output_tokens":725,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..efb93b2206cde3146809384f188ebcb777255325
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n  SELECT\n    \"feature_12\",\n    SUM(CAST(\"feature_16\" AS REAL)) AS \"group_value\"\n  FROM \"n9\"\n  GROUP BY \"feature_12\"\n),\n\"total\" AS (\n  SELECT SUM(\"group_value\") AS \"total_value\"\n  FROM \"grouped\"\n)\nSELECT\n  g.\"feature_12\",\n  g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Applied the requested Relative-to-Total Extreme Threshold template with group_col=\"feature_12\" and measure_col=\"feature_16\". CAST to REAL is used because the schema stores feature columns as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..a84f107dae943fec4095f2f7a3996e5c56877f94
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10186, "bytes_utf8": 10186, "lines": 303, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 657, "bytes_utf8": 657, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15145, "cached_input_tokens": 13696, "output_tokens": 550, "reasoning_output_tokens": 365}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..9a337ab43159b9dae03b15e27aaeacb52279ae3f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_a0c39fbd259bf92e",
+    "api_calls": 0,
+    "input_tokens": 15145,
+    "cached_input_tokens": 13696,
+    "output_tokens": 550,
+    "total_tokens": 15695,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 16463.3,
+    "sql_execution_elapsed_ms_total": 8.46,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..715f81f09636e5825236fcdda1fdb5b2dfa14893
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:40:47.758556+00:00",
+  "ended_at": "2026-05-19T15:41:04.221899+00:00",
+  "elapsed_ms": 16463.3,
+  "prompt_metrics": {
+    "chars": 10186,
+    "bytes_utf8": 10186,
+    "lines": 303,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1026,
+    "bytes_utf8": 1026,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 657,
+      "bytes_utf8": 657,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15145,
+      "cached_input_tokens": 13696,
+      "output_tokens": 550,
+      "reasoning_output_tokens": 365
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f2ee7f5b977c5d1fb0824d2719d7b02186361bc2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,303 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_8, condition_col=class.",
+  "planned_template_id": "tpl_m4_group_ratio_two_conditions",
+  "bindings": {
+    "group_col": "feature_8",
+    "condition_col": "class",
+    "condition_value": "2",
+    "positive_value": "2",
+    "negative_value": "4",
+    "top_k": 11,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 54.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7547b7192b4ac0535b8742e3e7eab5f05b794b8e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e5-941e-7081-8e35-06ed5d9e3305"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT \\\"feature_8\\\",\\n           SUM(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"n9\\\"\\n    GROUP BY \\\"feature_8\\\"\\n)\\nSELECT \\\"feature_8\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the planned grouped-ratio template with group_col=\\\"feature_8\\\" and condition_col=\\\"class\\\", computing the ratio of class '2' to class '4' within each feature_8 group.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15145,"cached_input_tokens":13696,"output_tokens":550,"reasoning_output_tokens":365}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d142ae92bbca4062b3eae209bce48f3899a14afc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n    SELECT \"feature_8\",\n           SUM(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS denominator_count\n    FROM \"n9\"\n    GROUP BY \"feature_8\"\n)\nSELECT \"feature_8\",\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the planned grouped-ratio template with group_col=\"feature_8\" and condition_col=\"class\", computing the ratio of class '2' to class '4' within each feature_8 group."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..c781ac10cec7388951f6e80b89c7799218109b65
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:10:01.739780+00:00",
+  "ended_at": "2026-05-19T16:10:04.713285+00:00",
+  "elapsed_ms": 2973.48,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 9477,
+    "bytes_utf8": 9477,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..fb330b39e6bc4fcefc15a87c3ac49b46fbf6c7dc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:10:05.716078+00:00",
+  "ended_at": "2026-05-19T16:10:08.631530+00:00",
+  "elapsed_ms": 2915.41,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 9477,
+    "bytes_utf8": 9477,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7d1860135694f0a8f86e2bfa5b15af71e10cd4ed
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=feature_5, measure_col=feature_13.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_5",
+    "measure_col": "feature_13",
+    "top_k": 10,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 68.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7d1860135694f0a8f86e2bfa5b15af71e10cd4ed
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=feature_5, measure_col=feature_13.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_5",
+    "measure_col": "feature_13",
+    "top_k": 10,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 68.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f5a069a4a02e070d93eac0847fbd9bede6dc3740
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4100-577d-76f0-ae7d-143384b44002"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..bdba9c4584b7a3001fbf4e256c7a8be4bc78ded2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4100-577d-76f0-ae7d-143384b44002"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..aa319d855d094e4164804b30e71b0b2f887fe684
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4100-671a-7002-8a38-066befdeecec"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b3bf54443e27f5e343f4cf3e822008fd68c5c19d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_response_attempt_2.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4100-671a-7002-8a38-066befdeecec"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..aade0bf2389132dd82c297e731320eeb20603d21
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9627, "bytes_utf8": 9627, "lines": 303, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 431, "bytes_utf8": 431, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14998, "cached_input_tokens": 12032, "output_tokens": 310, "reasoning_output_tokens": 191}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..b6bad8362c32edc83236742ab178a0ae054b319a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_a5b87ec462d5b0c3",
+    "api_calls": 0,
+    "input_tokens": 14998,
+    "cached_input_tokens": 12032,
+    "output_tokens": 310,
+    "total_tokens": 15308,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 9675.81,
+    "sql_execution_elapsed_ms_total": 5.42,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..db3b68b3a95a8f45821a5f13720fd03c11b525b0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"feature_15\",\n       AVG(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"n9\"\nGROUP BY \"feature_15\"\nORDER BY \"condition_rate\" DESC;","notes":"Uses the required Grouped Condition Rate template with group_col bound to \"feature_15\" and condition_col bound to \"class\", measuring the within-group proportion of rows where class = '4'."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..ff81282e4ecf62ef473da8af70ac9217ee899b77
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9949, "bytes_utf8": 9949, "lines": 300, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 741, "bytes_utf8": 741, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15076, "cached_input_tokens": 12032, "output_tokens": 735, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..96816fad228f9c7188ae0e9aad64ff8c45072c1f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_a74cb57be4775838",
+    "api_calls": 0,
+    "input_tokens": 15076,
+    "cached_input_tokens": 12032,
+    "output_tokens": 735,
+    "total_tokens": 15811,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 13577.44,
+    "sql_execution_elapsed_ms_total": 8.17,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..2b80d7acd811ba65d0de77e7a0177277443a5a8b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:49:37.820224+00:00",
+  "ended_at": "2026-05-19T15:49:51.397698+00:00",
+  "elapsed_ms": 13577.44,
+  "prompt_metrics": {
+    "chars": 9949,
+    "bytes_utf8": 9949,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1181,
+    "bytes_utf8": 1181,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 741,
+      "bytes_utf8": 741,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15076,
+      "cached_input_tokens": 12032,
+      "output_tokens": 735,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f9b308f6fdd13c40b5cef7b62d888feaf8dc0053
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_12, measure_col=feature_16.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "feature_12",
+    "measure_col": "feature_16",
+    "top_k": 19,
+    "top_n": 7,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 33.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2777f71d42d4396e543eb8c9f3423bb2ce9551f7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ed-aaab-7233-9402-ed5b7d9424d8"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n  SELECT\\n    \\\"feature_12\\\",\\n    SUM(CAST(\\\"feature_16\\\" AS REAL)) AS \\\"group_value\\\"\\n  FROM \\\"n9\\\"\\n  GROUP BY \\\"feature_12\\\"\\n),\\n\\\"total\\\" AS (\\n  SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n  FROM \\\"grouped\\\"\\n)\\nSELECT\\n  \\\"grouped\\\".\\\"feature_12\\\",\\n  \\\"grouped\\\".\\\"group_value\\\"\\nFROM \\\"grouped\\\"\\nCROSS JOIN \\\"total\\\"\\nWHERE \\\"grouped\\\".\\\"group_value\\\" > \\\"total\\\".\\\"total_value\\\" * 0.05\\nORDER BY \\\"grouped\\\".\\\"group_value\\\" DESC;\",\"notes\":\"Used the provided Relative-to-Total Extreme Threshold template with group_col=\\\"feature_12\\\" and measure_col=\\\"feature_16\\\". CAST is applied because the schema stores numeric fields as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15076,"cached_input_tokens":12032,"output_tokens":735,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1173633845fa34effeacbee73349c8843a9f50ac
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n  SELECT\n    \"feature_12\",\n    SUM(CAST(\"feature_16\" AS REAL)) AS \"group_value\"\n  FROM \"n9\"\n  GROUP BY \"feature_12\"\n),\n\"total\" AS (\n  SELECT SUM(\"group_value\") AS \"total_value\"\n  FROM \"grouped\"\n)\nSELECT\n  \"grouped\".\"feature_12\",\n  \"grouped\".\"group_value\"\nFROM \"grouped\"\nCROSS JOIN \"total\"\nWHERE \"grouped\".\"group_value\" > \"total\".\"total_value\" * 0.05\nORDER BY \"grouped\".\"group_value\" DESC;","notes":"Used the provided Relative-to-Total Extreme Threshold template with group_col=\"feature_12\" and measure_col=\"feature_16\". CAST is applied because the schema stores numeric fields as TEXT in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..817c3e9b962114f296777f7e2010214b42b50e45
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9391, "bytes_utf8": 9391, "lines": 300, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 381, "bytes_utf8": 381, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 334, "reasoning_output_tokens": 227}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..7cd203b26f3b362828633a4a80d0962f33ae3c30
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_bea6c4bb7fa71d20",
+    "api_calls": 0,
+    "input_tokens": 14940,
+    "cached_input_tokens": 12032,
+    "output_tokens": 334,
+    "total_tokens": 15274,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 9311.77,
+    "sql_execution_elapsed_ms_total": 9.89,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..4b3114a7deb7b7b4ddf0968a5cada5c5c84152b7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:31:16.194714+00:00",
+  "ended_at": "2026-05-19T15:31:25.506531+00:00",
+  "elapsed_ms": 9311.77,
+  "prompt_metrics": {
+    "chars": 9391,
+    "bytes_utf8": 9391,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 739,
+    "bytes_utf8": 739,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 381,
+      "bytes_utf8": 381,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14940,
+      "cached_input_tokens": 12032,
+      "output_tokens": 334,
+      "reasoning_output_tokens": 227
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f53f5acdf9d0e073af7e3bc6b3e8182718f57027
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_8, measure_col=feature_8.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "feature_8",
+    "measure_col": "feature_8",
+    "top_k": 17,
+    "top_n": 7,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 57.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4e27cff8184df0ae674b8c90bff9c95fecc81e8c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40dc-db61-7451-9f6c-d3cc60a68971"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_8\\\", SUM(CAST(\\\"feature_8\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_8\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required Grouped Numeric Sum template with group_col and measure_col both bound to \\\"feature_8\\\". CAST to NUMERIC is included because the schema stores values as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14940,"cached_input_tokens":12032,"output_tokens":334,"reasoning_output_tokens":227}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5a6c94d6c88005437e28bb5149eeb649bc5b31fb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_8\", SUM(CAST(\"feature_8\" AS NUMERIC)) AS \"total_measure\"\nFROM \"n9\"\nGROUP BY \"feature_8\"\nORDER BY \"total_measure\" DESC;","notes":"Used the required Grouped Numeric Sum template with group_col and measure_col both bound to \"feature_8\". CAST to NUMERIC is included because the schema stores values as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..0620e2f894d163c726efda40b7655b85ad7f3b67
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9389, "bytes_utf8": 9389, "lines": 300, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 365, "bytes_utf8": 365, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 0, "output_tokens": 376, "reasoning_output_tokens": 270}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..fc6f69e70db005657231e44d28bdc20c16d388ba
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_bf7c17439abc0503",
+    "api_calls": 0,
+    "input_tokens": 14940,
+    "cached_input_tokens": 0,
+    "output_tokens": 376,
+    "total_tokens": 15316,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 10867.16,
+    "sql_execution_elapsed_ms_total": 4.77,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..4de50217858a96a07af802d9a278235b5aeedc38
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:29:21.119336+00:00",
+  "ended_at": "2026-05-19T15:29:31.986525+00:00",
+  "elapsed_ms": 10867.16,
+  "prompt_metrics": {
+    "chars": 9389,
+    "bytes_utf8": 9389,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 715,
+    "bytes_utf8": 715,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 365,
+      "bytes_utf8": 365,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14940,
+      "cached_input_tokens": 0,
+      "output_tokens": 376,
+      "reasoning_output_tokens": 270
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4130ca32d99a81256b76c8152a3955fb942f6dcd
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_4, measure_col=feature_4.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "feature_4",
+    "measure_col": "feature_4",
+    "top_k": 13,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 100.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..691d8d3a7a8cb5338b85fb4637ae357771294ad3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40db-1a0b-7980-98d2-ed924b5e28f5"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_4\\\", SUM(CAST(\\\"feature_4\\\" AS REAL)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_4\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied tpl_h2o_group_sum with group_col=\\\"feature_4\\\" and measure_col=\\\"feature_4\\\". CAST is used because the schema stores this numeric-discrete field as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14940,"cached_input_tokens":0,"output_tokens":376,"reasoning_output_tokens":270}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..eff523a6750cd6886e0eb926641ac9d56f7471c9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_4\", SUM(CAST(\"feature_4\" AS REAL)) AS total_measure\nFROM \"n9\"\nGROUP BY \"feature_4\"\nORDER BY total_measure DESC;","notes":"Applied tpl_h2o_group_sum with group_col=\"feature_4\" and measure_col=\"feature_4\". CAST is used because the schema stores this numeric-discrete field as TEXT in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..c33b8193a47f6911c4e86bb65de7bb455bc3d4d1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9392, "bytes_utf8": 9392, "lines": 300, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 391, "bytes_utf8": 391, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 13696, "output_tokens": 371, "reasoning_output_tokens": 263}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..bf4894dd66e3912d464c976c7249c094a14e05c2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_c429c829ba4276ee",
+    "api_calls": 0,
+    "input_tokens": 14940,
+    "cached_input_tokens": 13696,
+    "output_tokens": 371,
+    "total_tokens": 15311,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 10306.28,
+    "sql_execution_elapsed_ms_total": 6.59,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..9bc06ce488178a1335087b6d5ee3c933ccb73f0e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:29:31.995187+00:00",
+  "ended_at": "2026-05-19T15:29:42.301507+00:00",
+  "elapsed_ms": 10306.28,
+  "prompt_metrics": {
+    "chars": 9392,
+    "bytes_utf8": 9392,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 753,
+    "bytes_utf8": 753,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 391,
+      "bytes_utf8": 391,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14940,
+      "cached_input_tokens": 13696,
+      "output_tokens": 371,
+      "reasoning_output_tokens": 263
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4fc30b54cb60b00bf5547c8b4799550e5e459532
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_4, measure_col=feature_4.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "feature_4",
+    "measure_col": "feature_4",
+    "top_k": 18,
+    "top_n": 7,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 100.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6848fd89fe1f60ab400564269bb185fdc5678337
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40db-446d-7ff0-9dc5-fbb6110635b4"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_4\\\", SUM(CAST(\\\"feature_4\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_4\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the provided grouped numeric sum template with group_col=\\\"feature_4\\\" and measure_col=\\\"feature_4\\\". CAST is used because the schema stores this numeric field as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14940,"cached_input_tokens":13696,"output_tokens":371,"reasoning_output_tokens":263}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0ac5843a9c0ede25e2a5e1e97fe5c15d0ba3b983
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_4\", SUM(CAST(\"feature_4\" AS INTEGER)) AS \"total_measure\"\nFROM \"n9\"\nGROUP BY \"feature_4\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the provided grouped numeric sum template with group_col=\"feature_4\" and measure_col=\"feature_4\". CAST is used because the schema stores this numeric field as TEXT in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..625d3ffda916090f997c9651c354bd624716e2af
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9630, "bytes_utf8": 9630, "lines": 303, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 441, "bytes_utf8": 441, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14997, "cached_input_tokens": 12032, "output_tokens": 593, "reasoning_output_tokens": 467}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..c6f2212934c76290a3ac21a27755d5aeb2d8f834
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_d232a388de08c479",
+    "api_calls": 0,
+    "input_tokens": 14997,
+    "cached_input_tokens": 12032,
+    "output_tokens": 593,
+    "total_tokens": 15590,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 13873.83,
+    "sql_execution_elapsed_ms_total": 12.03,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..8961e9e08ad9d7cb83d8b6f5354d84ddc51605d5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:01:48.539859+00:00",
+  "ended_at": "2026-05-19T16:02:02.413721+00:00",
+  "elapsed_ms": 13873.83,
+  "prompt_metrics": {
+    "chars": 9630,
+    "bytes_utf8": 9630,
+    "lines": 303,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 805,
+    "bytes_utf8": 805,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 441,
+      "bytes_utf8": 441,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14997,
+      "cached_input_tokens": 12032,
+      "output_tokens": 593,
+      "reasoning_output_tokens": 467
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a65569d8742104ad93190fc9116202f8944fcd44
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,303 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_14, condition_col=class.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_14",
+    "condition_col": "class",
+    "condition_value": "4",
+    "positive_value": "2",
+    "negative_value": "4",
+    "top_k": 18,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 58.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d4cef94796c54e4d10f109e5e5311a24d763e666
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f8-d136-7673-a774-3c614a0c38be"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate.\\nSELECT\\n  \\\"feature_14\\\",\\n  AVG(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_14\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the provided Grouped Condition Rate template with group_col bound to \\\"feature_14\\\" and condition_col bound to \\\"class\\\", measuring the share of rows where class = '4' within each feature_14 group.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14997,"cached_input_tokens":12032,"output_tokens":593,"reasoning_output_tokens":467}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..eb25f73a183123588d656a5f5f87dcfe45cd0486
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate.\nSELECT\n  \"feature_14\",\n  AVG(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"n9\"\nGROUP BY \"feature_14\"\nORDER BY \"condition_rate\" DESC;","notes":"Uses the provided Grouped Condition Rate template with group_col bound to \"feature_14\" and condition_col bound to \"class\", measuring the share of rows where class = '4' within each feature_14 group."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..98d70967e299c1e252a980687540ef25f05001b2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"feature_4\", \"feature_11\", COUNT(*) AS \"row_count\"\nFROM \"n9\"\nWHERE CAST(\"feature_1\" AS REAL) >= 65.0\nGROUP BY \"feature_4\", \"feature_11\"\nORDER BY \"row_count\" DESC;","notes":"Uses the planned filtered two-dimensional group count template with \"feature_4\" and \"feature_11\" as grouping columns, and casts \"feature_1\" to REAL because the numeric feature columns are stored as TEXT in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..736be62ba6dc077d54811b47308efe53333631f0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9947, "bytes_utf8": 9947, "lines": 300, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 606, "bytes_utf8": 606, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15076, "cached_input_tokens": 13696, "output_tokens": 634, "reasoning_output_tokens": 464}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..92436f1cc58b455830b7198d42a58fff97536653
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_d6ddfc6f63d88a1b",
+    "api_calls": 0,
+    "input_tokens": 15076,
+    "cached_input_tokens": 13696,
+    "output_tokens": 634,
+    "total_tokens": 15710,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 12811.29,
+    "sql_execution_elapsed_ms_total": 7.0,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..fa7b5d33fbbb25c631c5c22422e0f447dc654130
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:47:42.765935+00:00",
+  "ended_at": "2026-05-19T15:47:55.577279+00:00",
+  "elapsed_ms": 12811.29,
+  "prompt_metrics": {
+    "chars": 9947,
+    "bytes_utf8": 9947,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 977,
+    "bytes_utf8": 977,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 606,
+      "bytes_utf8": 606,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15076,
+      "cached_input_tokens": 13696,
+      "output_tokens": 634,
+      "reasoning_output_tokens": 464
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a8239328d814997d8f5e3d780f5944333c97e154
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_8, measure_col=feature_12.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "feature_8",
+    "measure_col": "feature_12",
+    "top_k": 15,
+    "top_n": 7,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 48.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..dee6b031058a3b670f581620d101d590c94f780b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40eb-e9a8-7840-848b-917740acf353"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"feature_8\\\", SUM(CAST(\\\"feature_12\\\" AS REAL)) AS group_value\\n    FROM \\\"n9\\\"\\n    GROUP BY \\\"feature_8\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"feature_8\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the requested template with group_col=\\\"feature_8\\\" and measure_col=\\\"feature_12\\\". Cast \\\"feature_12\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15076,"cached_input_tokens":13696,"output_tokens":634,"reasoning_output_tokens":464}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b414b90920ee9e09f5f9d9e1dc234ab96b09024a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"feature_8\", SUM(CAST(\"feature_12\" AS REAL)) AS group_value\n    FROM \"n9\"\n    GROUP BY \"feature_8\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"feature_8\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Used the requested template with group_col=\"feature_8\" and measure_col=\"feature_12\". Cast \"feature_12\" to REAL because the SQLite schema stores it as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b67f2bdaf355d2f0cf9c224594583e6c6023ba29
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/conversation.jsonl
@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9467, "bytes_utf8": 9467, "lines": 300, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "}
+{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 9467, "bytes_utf8": 9467, "lines": 300, "estimated_tokens": null}}
+{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 517, "bytes_utf8": 517, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14947, "cached_input_tokens": 13696, "output_tokens": 480, "reasoning_output_tokens": 349}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..e68cfcbe36dd4a84ff2a134be151d5026be01b98
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 2,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_d86e59f7cdb11a2b",
+    "api_calls": 0,
+    "input_tokens": 14947,
+    "cached_input_tokens": 13696,
+    "output_tokens": 480,
+    "total_tokens": 15427,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 15573.22,
+    "sql_execution_elapsed_ms_total": 18.09,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..4667c7d921ba0f6f5c07e9930f394edfaa3f92d5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:08:46.271903+00:00",
+  "ended_at": "2026-05-19T16:08:50.424676+00:00",
+  "elapsed_ms": 4152.75,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 9467,
+    "bytes_utf8": 9467,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..1a085a8182da8632359d55f1c887ce257eaa2ca7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:08:51.426369+00:00",
+  "ended_at": "2026-05-19T16:09:02.846869+00:00",
+  "elapsed_ms": 11420.47,
+  "prompt_metrics": {
+    "chars": 9467,
+    "bytes_utf8": 9467,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 881,
+    "bytes_utf8": 881,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 517,
+      "bytes_utf8": 517,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14947,
+      "cached_input_tokens": 13696,
+      "output_tokens": 480,
+      "reasoning_output_tokens": 349
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..66867fac90e536ea9f16877463263587add700b9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=class, measure_col=feature_8.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "class",
+    "measure_col": "feature_8",
+    "top_k": 15,
+    "top_n": 7,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 57.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..66867fac90e536ea9f16877463263587add700b9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=class, measure_col=feature_8.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "class",
+    "measure_col": "feature_8",
+    "top_k": 15,
+    "top_n": 7,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 57.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..05a74414dcbc7447e1c52f1c8d7c9f7625aadbf3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ff-30c9-7781-bdb4-e53e88599bc8"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a00d0b16581f482d055245a43f1c244428acd66e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ff-30c9-7781-bdb4-e53e88599bc8"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ee5368a175ac62714d96f578f1ff1e51dcf002aa
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ff-44e2-7321-98b0-06b0e69d52b3"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"class\\\",\\n       AVG(CAST(\\\"feature_8\\\" AS REAL)) OVER (PARTITION BY \\\"class\\\") AS avg_measure\\nFROM \\\"n9\\\"\\nWHERE \\\"class\\\" IS NOT NULL\\n  AND \\\"feature_8\\\" IS NOT NULL\\nORDER BY avg_measure DESC;\",\"notes\":\"Uses the required Window Partition Average template with group_col bound to \\\"class\\\" and measure_col bound to \\\"feature_8\\\". CAST is applied because the schema stores features as TEXT, and NULL filtering provides a stable grouped view.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14947,"cached_input_tokens":13696,"output_tokens":480,"reasoning_output_tokens":349}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..83fad428bc61a772351569489a7631c3ae602bb3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_response_attempt_2.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"class\",\n       AVG(CAST(\"feature_8\" AS REAL)) OVER (PARTITION BY \"class\") AS avg_measure\nFROM \"n9\"\nWHERE \"class\" IS NOT NULL\n  AND \"feature_8\" IS NOT NULL\nORDER BY avg_measure DESC;","notes":"Uses the required Window Partition Average template with group_col bound to \"class\" and measure_col bound to \"feature_8\". CAST is applied because the schema stores features as TEXT, and NULL filtering provides a stable grouped view."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..27081afafe95ab2484680a77b18ba2776a9da56f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9560, "bytes_utf8": 9560, "lines": 300, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1043, "bytes_utf8": 1043, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14974, "cached_input_tokens": 13696, "output_tokens": 831, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..9d87b562e3307d52a634a824719967c18264de0c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_d916104f5c417d43",
+    "api_calls": 0,
+    "input_tokens": 14974,
+    "cached_input_tokens": 13696,
+    "output_tokens": 831,
+    "total_tokens": 15805,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 18364.22,
+    "sql_execution_elapsed_ms_total": 53.44,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..8a6386017ccfe195213a82cd3cd822981284702c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:50:38.264449+00:00",
+  "ended_at": "2026-05-19T15:50:56.628691+00:00",
+  "elapsed_ms": 18364.22,
+  "prompt_metrics": {
+    "chars": 9560,
+    "bytes_utf8": 9560,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1517,
+    "bytes_utf8": 1517,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 1043,
+      "bytes_utf8": 1043,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14974,
+      "cached_input_tokens": 13696,
+      "output_tokens": 831,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..bd32919aaa608f30a7ade973580f4e94cd406dc2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=class, measure_col=feature_5.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "class",
+    "measure_col": "feature_5",
+    "top_k": 14,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 78.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..309fb0735613dbb5630142497932def47072ea9e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ee-96dc-7ee1-871f-a3b0402ff637"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n  SELECT\\n    \\\"class\\\",\\n    CAST(\\\"feature_5\\\" AS REAL) AS \\\"measure_value\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"class\\\"\\n      ORDER BY CAST(\\\"feature_5\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"class\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"n9\\\"\\n  WHERE \\\"class\\\" IS NOT NULL\\n    AND \\\"feature_5\\\" IS NOT NULL\\n),\\n\\\"percentile_points\\\" AS (\\n  SELECT\\n    \\\"class\\\",\\n    \\\"measure_value\\\" AS \\\"percentile_measure\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"class\\\"\\n      ORDER BY \\\"rn\\\"\\n    ) AS \\\"pick_rn\\\"\\n  FROM \\\"ranked\\\"\\n  WHERE \\\"rn\\\" >= CAST(((95 * \\\"cnt\\\") + 99) / 100 AS INTEGER)\\n)\\nSELECT\\n  \\\"class\\\",\\n  \\\"percentile_measure\\\"\\nFROM \\\"percentile_points\\\"\\nWHERE \\\"pick_rn\\\" = 1\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile per \\\"class\\\" via window functions, ordering \\\"feature_5\\\" after casting from TEXT to REAL.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14974,"cached_input_tokens":13696,"output_tokens":831,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..13e6b01e0b3e8e5c99928e178273e29e8a84ff41
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n  SELECT\n    \"class\",\n    CAST(\"feature_5\" AS REAL) AS \"measure_value\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"class\"\n      ORDER BY CAST(\"feature_5\" AS REAL)\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY \"class\"\n    ) AS \"cnt\"\n  FROM \"n9\"\n  WHERE \"class\" IS NOT NULL\n    AND \"feature_5\" IS NOT NULL\n),\n\"percentile_points\" AS (\n  SELECT\n    \"class\",\n    \"measure_value\" AS \"percentile_measure\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"class\"\n      ORDER BY \"rn\"\n    ) AS \"pick_rn\"\n  FROM \"ranked\"\n  WHERE \"rn\" >= CAST(((95 * \"cnt\") + 99) / 100 AS INTEGER)\n)\nSELECT\n  \"class\",\n  \"percentile_measure\"\nFROM \"percentile_points\"\nWHERE \"pick_rn\" = 1\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile per \"class\" via window functions, ordering \"feature_5\" after casting from TEXT to REAL."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..626f35e5691374d32329ca34883855eae032ed7b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:08:10.488725+00:00",
+  "ended_at": "2026-05-19T16:08:13.790651+00:00",
+  "elapsed_ms": 3301.9,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 9472,
+    "bytes_utf8": 9472,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..2afe629a19be1c8ed1fe673b342e8d672f713291
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:08:14.792203+00:00",
+  "ended_at": "2026-05-19T16:08:17.719810+00:00",
+  "elapsed_ms": 2927.58,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 9472,
+    "bytes_utf8": 9472,
+    "lines": 300,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9190da112dddb6b7b0ed9c2e8067d7917fb47376
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=feature_15, measure_col=feature_6.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_15",
+    "measure_col": "feature_6",
+    "top_k": 13,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 86.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9190da112dddb6b7b0ed9c2e8067d7917fb47376
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=feature_15, measure_col=feature_6.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_15",
+    "measure_col": "feature_6",
+    "top_k": 13,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 86.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4d926c7403f41c354abdaa02addd8683ab857fa5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fe-a4e1-7a63-b424-016a7e54feaf"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..639aa13f18b487812c43774cfce1c94d161d71bb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fe-a4e1-7a63-b424-016a7e54feaf"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c802b7483ba070e4453db870279ef4f11b95c4b3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fe-b5f4-7572-ab43-44c16adb597c"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b5b1dc41cae81b0e4fee83ad618754ff9e470bed
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_response_attempt_2.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fe-b5f4-7572-ab43-44c16adb597c"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..21fd28de16deaa0878fd9557efe802f64debbd84
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9704, "bytes_utf8": 9704, "lines": 304, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 496, "bytes_utf8": 496, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15036, "cached_input_tokens": 13696, "output_tokens": 658, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b34a0ac02205db389ae69c45fe63024a3ad8754
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_ee68e050f4954059",
+    "api_calls": 0,
+    "input_tokens": 15036,
+    "cached_input_tokens": 13696,
+    "output_tokens": 658,
+    "total_tokens": 15694,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 14029.01,
+    "sql_execution_elapsed_ms_total": 4.21,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..d23c5ffd548e8fd75a768acf1c6a02964a08a1b8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:42:18.996140+00:00",
+  "ended_at": "2026-05-19T15:42:33.025186+00:00",
+  "elapsed_ms": 14029.01,
+  "prompt_metrics": {
+    "chars": 9704,
+    "bytes_utf8": 9704,
+    "lines": 304,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 875,
+    "bytes_utf8": 875,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 496,
+      "bytes_utf8": 496,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15036,
+      "cached_input_tokens": 13696,
+      "output_tokens": 658,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0eee238cc0fa2a93ba83fc60bc84f62261985829
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,304 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=feature_4, group_col_2=feature_12.",
+  "planned_template_id": "tpl_c2_filtered_group_count_2d",
+  "bindings": {
+    "group_col": "feature_4",
+    "group_col_2": "feature_12",
+    "predicate_col": "feature_2",
+    "predicate_op": ">=",
+    "predicate_value": 100.0,
+    "top_k": 12,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 78.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..243fa5273079c5dac056b4436304a149a666f9b9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e6-f87b-7f50-8b5c-0604bab3c816"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_12\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n9\\\"\\nWHERE CAST(\\\"feature_2\\\" AS REAL) >= 100.0\\nGROUP BY \\\"feature_4\\\", \\\"feature_12\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the planned filtered two-dimensional group count template with group_col=\\\"feature_4\\\", group_col_2=\\\"feature_12\\\", and predicate on \\\"feature_2\\\". Cast \\\"feature_2\\\" to REAL because the schema stores numeric-looking fields as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15036,"cached_input_tokens":13696,"output_tokens":658,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c8815acf3436fcb6ae461807c0edf3fdfcac35e1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"feature_4\", \"feature_12\", COUNT(*) AS \"row_count\"\nFROM \"n9\"\nWHERE CAST(\"feature_2\" AS REAL) >= 100.0\nGROUP BY \"feature_4\", \"feature_12\"\nORDER BY \"row_count\" DESC;","notes":"Used the planned filtered two-dimensional group count template with group_col=\"feature_4\", group_col_2=\"feature_12\", and predicate on \"feature_2\". Cast \"feature_2\" to REAL because the schema stores numeric-looking fields as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..cd802584ad8a3e42e7bf4446db6901a9d34177e2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9797, "bytes_utf8": 9797, "lines": 302, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 609, "bytes_utf8": 609, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15059, "cached_input_tokens": 12032, "output_tokens": 674, "reasoning_output_tokens": 493}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..97067c88c0b85232e31090ee5ba2d61523382e94
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_f596b5fec512d245",
+    "api_calls": 0,
+    "input_tokens": 15059,
+    "cached_input_tokens": 12032,
+    "output_tokens": 674,
+    "total_tokens": 15733,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 14354.18,
+    "sql_execution_elapsed_ms_total": 18.16,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..5577850e54121f94c830b02bf5a2cf62b4c8850a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:39:26.261976+00:00",
+  "ended_at": "2026-05-19T15:39:40.616192+00:00",
+  "elapsed_ms": 14354.18,
+  "prompt_metrics": {
+    "chars": 9797,
+    "bytes_utf8": 9797,
+    "lines": 302,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1001,
+    "bytes_utf8": 1001,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 609,
+      "bytes_utf8": 609,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15059,
+      "cached_input_tokens": 12032,
+      "output_tokens": 674,
+      "reasoning_output_tokens": 493
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..38fddb108deb2cdef4426705dbda4601c52820c1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,302 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_1, measure_col=feature_3.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_3",
+    "item_col": "feature_4",
+    "top_k": 19,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 52.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c9513a6287554deb0aa24245e0555673ed45ead5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e4-55be-7333-83a6-2bd082710504"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_1\\\", \\\"feature_4\\\",\\n       SUM(CAST(\\\"feature_3\\\" AS REAL)) AS \\\"total_measure\\\",\\n       SUM(CAST(\\\"feature_3\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_3\\\" AS REAL))) OVER (PARTITION BY \\\"feature_1\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_1\\\", \\\"feature_4\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Uses the Within-Group Share of Total template with group_col=\\\"feature_1\\\", item_col=\\\"feature_4\\\", and measure_col=\\\"feature_3\\\". The measure is cast from TEXT to REAL for numeric aggregation in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15059,"cached_input_tokens":12032,"output_tokens":674,"reasoning_output_tokens":493}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..95fed12ef51661e643411ad4e2911285d294ed88
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"feature_1\", \"feature_4\",\n       SUM(CAST(\"feature_3\" AS REAL)) AS \"total_measure\",\n       SUM(CAST(\"feature_3\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_3\" AS REAL))) OVER (PARTITION BY \"feature_1\") AS \"share_within_group\"\nFROM \"n9\"\nGROUP BY \"feature_1\", \"feature_4\"\nORDER BY \"share_within_group\" DESC;","notes":"Uses the Within-Group Share of Total template with group_col=\"feature_1\", item_col=\"feature_4\", and measure_col=\"feature_3\". The measure is cast from TEXT to REAL for numeric aggregation in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..9e57960cea0541e97925642c88f650e2843bd368
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9633, "bytes_utf8": 9633, "lines": 303, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 375, "bytes_utf8": 375, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14998, "cached_input_tokens": 12032, "output_tokens": 612, "reasoning_output_tokens": 504}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..2473b51507ca9abaae73eae5c96a2f968ac9b002
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_f5e1eebe605c95f0",
+    "api_calls": 0,
+    "input_tokens": 14998,
+    "cached_input_tokens": 12032,
+    "output_tokens": 612,
+    "total_tokens": 15610,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 14580.91,
+    "sql_execution_elapsed_ms_total": 11.05,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..cf7ef9b8356792c3aa2c0c8ab194e7f0c062d9da
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:02:22.831468+00:00",
+  "ended_at": "2026-05-19T16:02:37.412410+00:00",
+  "elapsed_ms": 14580.91,
+  "prompt_metrics": {
+    "chars": 9633,
+    "bytes_utf8": 9633,
+    "lines": 303,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 730,
+    "bytes_utf8": 730,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 375,
+      "bytes_utf8": 375,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14998,
+      "cached_input_tokens": 12032,
+      "output_tokens": 612,
+      "reasoning_output_tokens": 504
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5782d91104eec2809e002dd61a00020a6a397c0f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,303 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_16, condition_col=class.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_16",
+    "condition_col": "class",
+    "condition_value": "2",
+    "positive_value": "2",
+    "negative_value": "4",
+    "top_k": 10,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 78.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..447776a898338fd385dfc4b198f1a96df7104062
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f9-56f4-79d3-ab56-0413d22a1459"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_16\\\",\\n       AVG(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_16\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Computes the within-group proportion of rows with \\\"class\\\" = '2' for each \\\"feature_16\\\" value, following the Grouped Condition Rate template.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14998,"cached_input_tokens":12032,"output_tokens":612,"reasoning_output_tokens":504}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a991a327de71b2307231a5592ca3a30c222b793a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"feature_16\",\n       AVG(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n9\"\nGROUP BY \"feature_16\"\nORDER BY condition_rate DESC;","notes":"Computes the within-group proportion of rows with \"class\" = '2' for each \"feature_16\" value, following the Grouped Condition Rate template."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..489829ddf19c0026be226ea928ad2d39bec686de
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9620, "bytes_utf8": 9620, "lines": 303, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 427, "bytes_utf8": 427, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14997, "cached_input_tokens": 12032, "output_tokens": 336, "reasoning_output_tokens": 220}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..c684903713d29c5a2f7676464939a1bc3002305f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n9_fe31b5886cd52dc2",
+    "api_calls": 0,
+    "input_tokens": 14997,
+    "cached_input_tokens": 12032,
+    "output_tokens": 336,
+    "total_tokens": 15333,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 9004.33,
+    "sql_execution_elapsed_ms_total": 5.56,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..a99bd583aa81d23a64ffb9042704c3b25ab81762
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:01:19.195037+00:00",
+  "ended_at": "2026-05-19T16:01:28.199384+00:00",
+  "elapsed_ms": 9004.33,
+  "prompt_metrics": {
+    "chars": 9620,
+    "bytes_utf8": 9620,
+    "lines": 303,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 786,
+    "bytes_utf8": 786,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 427,
+      "bytes_utf8": 427,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14997,
+      "cached_input_tokens": 12032,
+      "output_tokens": 336,
+      "reasoning_output_tokens": 220
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0f3bf20f86955151b95a48102ba59d358983548a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,303 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n9
+- dataset_name: Pen Based Recognition Of Handwritten Digits
+- table_name: n9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 10992
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3.
+- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4.
+- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5.
+- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6.
+- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7.
+- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8.
+- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9.
+- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10.
+- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11.
+- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12.
+- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13.
+- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14.
+- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15.
+- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits
+
+SQLite schema snapshot:
+{
+  "table_name": "n9",
+  "quoted_table_name": "\"n9\"",
+  "row_count": 10992,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "0",
+      "feature_2": "58",
+      "feature_3": "18",
+      "feature_4": "26",
+      "feature_5": "49",
+      "feature_6": "0",
+      "feature_7": "86",
+      "feature_8": "18",
+      "feature_9": "100",
+      "feature_10": "50",
+      "feature_11": "86",
+      "feature_12": "82",
+      "feature_13": "45",
+      "feature_14": "100",
+      "feature_15": "17",
+      "feature_16": "77",
+      "class": "0"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "99",
+      "feature_3": "51",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "96",
+      "feature_7": "72",
+      "feature_8": "59",
+      "feature_9": "56",
+      "feature_10": "16",
+      "feature_11": "41",
+      "feature_12": "0",
+      "feature_13": "24",
+      "feature_14": "39",
+      "feature_15": "81",
+      "feature_16": "50",
+      "class": "7"
+    },
+    {
+      "feature_1": "0",
+      "feature_2": "88",
+      "feature_3": "44",
+      "feature_4": "100",
+      "feature_5": "100",
+      "feature_6": "85",
+      "feature_7": "88",
+      "feature_8": "45",
+      "feature_9": "60",
+      "feature_10": "8",
+      "feature_11": "25",
+      "feature_12": "0",
+      "feature_13": "32",
+      "feature_14": "25",
+      "feature_15": "98",
+      "feature_16": "27",
+      "class": "7"
+    },
+    {
+      "feature_1": "63",
+      "feature_2": "100",
+      "feature_3": "31",
+      "feature_4": "80",
+      "feature_5": "0",
+      "feature_6": "49",
+      "feature_7": "70",
+      "feature_8": "50",
+      "feature_9": "100",
+      "feature_10": "67",
+      "feature_11": "68",
+      "feature_12": "90",
+      "feature_13": "45",
+      "feature_14": "45",
+      "feature_15": "29",
+      "feature_16": "0",
+      "class": "4"
+    },
+    {
+      "feature_1": "3",
+      "feature_2": "72",
+      "feature_3": "26",
+      "feature_4": "100",
+      "feature_5": "50",
+      "feature_6": "80",
+      "feature_7": "31",
+      "feature_8": "48",
+      "feature_9": "0",
+      "feature_10": "19",
+      "feature_11": "13",
+      "feature_12": "12",
+      "feature_13": "65",
+      "feature_14": "0",
+      "feature_15": "100",
+      "feature_16": "17",
+      "class": "2"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n9",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=feature_13, condition_col=class.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_13",
+    "condition_col": "class",
+    "condition_value": "2",
+    "positive_value": "2",
+    "negative_value": "4",
+    "top_k": 12,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 100.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8cbb8886a5bb5110952ebc9ae3736107fba4e9a6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f8-5e4a-76f2-98c7-521e444c71db"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_13\\\",\\n       AVG(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_13\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with group_col=\\\"feature_13\\\" and condition_col=\\\"class\\\", using condition_value '2' because \\\"class\\\" is stored as TEXT in the SQLite schema.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14997,"cached_input_tokens":12032,"output_tokens":336,"reasoning_output_tokens":220}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c895523f2de1b9c34f24c2dfd4b640ac51c8396e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"feature_13\",\n       AVG(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n9\"\nGROUP BY \"feature_13\"\nORDER BY condition_rate DESC;","notes":"Applied the provided Grouped Condition Rate template with group_col=\"feature_13\" and condition_col=\"class\", using condition_value '2' because \"class\" is stored as TEXT in the SQLite schema."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391