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Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_11d98d17b3859421/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=release_year.
+Result preview: [{"release_year": "1925", "support": 1}, {"release_year": "1947", "support": 1}, {"release_year": "1959", "support": 1}, {"release_year": "1961", "support": 1}, {"release_year": "1966", "support": 1}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_11d98d17b3859421/generated_sql.sql

@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- 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_c17_11d98d17b3859421
+-- problem_id: v2p_c17_13b8deae5fba75f3
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+    "release_year",
+    COUNT(*) AS "support"
+FROM "c17"
+GROUP BY "release_year"
+ORDER BY "support" ASC, "release_year"
+LIMIT 10;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_11d98d17b3859421/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    \"release_year\",\n    COUNT(*) AS \"support\"\nFROM \"c17\"\nGROUP BY \"release_year\"\nORDER BY \"support\" ASC, \"release_year\"\nLIMIT 10;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"release_year\\\",\\n    COUNT(*) AS \\\"support\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"release_year\\\"\\nORDER BY \\\"support\\\" ASC, \\\"release_year\\\"\\nLIMIT 10;\", \"columns\": [\"release_year\", \"support\"], \"rows\": [{\"release_year\": \"1925\", \"support\": 1}, {\"release_year\": \"1947\", \"support\": 1}, {\"release_year\": \"1959\", \"support\": 1}, {\"release_year\": \"1961\", \"support\": 1}, {\"release_year\": \"1966\", \"support\": 1}, {\"release_year\": \"1942\", \"support\": 2}, {\"release_year\": \"1946\", \"support\": 2}, {\"release_year\": \"1954\", \"support\": 2}, {\"release_year\": \"1956\", \"support\": 2}, {\"release_year\": \"1963\", \"support\": 2}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.54}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_11d98d17b3859421/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:59:43.824789+00:00",
+  "ended_at": "2026-05-19T15:59:54.351358+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_11d98d17b3859421",
+    "problem_id": "v2p_c17_13b8deae5fba75f3",
+    "dataset_id": "c17",
+    "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=release_year.",
+    "bindings": {
+      "group_col": "release_year",
+      "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": 2019.0,
+      "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=1/2",
+      "binding_index=125"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "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_b/c17/sql/v2q_c17_11d98d17b3859421.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_11d98d17b3859421",
+    "api_calls": 0,
+    "input_tokens": 14655,
+    "cached_input_tokens": 13696,
+    "output_tokens": 446,
+    "total_tokens": 15101,
+    "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": 10516.08,
+    "sql_execution_elapsed_ms_total": 5.54,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_11d98d17b3859421/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_11d98d17b3859421/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:59:54.344375+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": 10516.08, "started_at": "2026-05-19T15:59:43.827436+00:00", "ended_at": "2026-05-19T15:59:54.343541+00:00", "prompt_metrics": {"chars": 9167, "bytes_utf8": 9169, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 354, "bytes_utf8": 354, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14655, "cached_input_tokens": 13696, "output_tokens": 446, "reasoning_output_tokens": 351}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"release_year\\\",\\n    COUNT(*) AS \\\"support\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"release_year\\\"\\nORDER BY \\\"support\\\" ASC, \\\"release_year\\\"\\nLIMIT 10;\",\"notes\":\"Counts rows by release_year and returns the 10 lowest-support groups, following the required Low-Support Group Count template.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_11d98d17b3859421/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_11d98d17b3859421",
+  "api_calls": 0,
+  "input_tokens": 14655,
+  "cached_input_tokens": 13696,
+  "output_tokens": 446,
+  "total_tokens": 15101,
+  "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": 10516.08,
+  "sql_execution_elapsed_ms_total": 5.54,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_11d98d17b3859421/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_8110658b504ef3fe/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"cast": "", "support": 825, "avg_response": 2016.3248484848484}, {"cast": "David Attenborough", "support": 19, "avg_response": 2013.1052631578948}, {"cast": "Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jigna Bhardwaj, Rajesh Kava, Mousam, Swapnil", "support": 14, "avg_response": 2012.7857142857142}, {"cast": "Samuel West", "support": 10, "avg_response": 2013.4}, {"cast": "Jeff Dunham", "support": 7, "avg_response": 2013.4285714285713}]}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_8110658b504ef3fe/generated_sql.sql

@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- 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_c17_8110658b504ef3fe
+-- problem_id: v2p_c17_815e699085b8440a
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "cast",
+    COUNT(*) AS support,
+    AVG("release_year") AS avg_response
+FROM "c17"
+GROUP BY "cast"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_8110658b504ef3fe/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_b\n-- sql_source_dataset_id: c17\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_c17_8110658b504ef3fe\n-- problem_id: v2p_c17_815e699085b8440a\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"cast\",\n    COUNT(*) AS support,\n    AVG(\"release_year\") AS avg_response\nFROM \"c17\"\nGROUP BY \"cast\"\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_b\\n-- sql_source_dataset_id: c17\\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_c17_8110658b504ef3fe\\n-- problem_id: v2p_c17_815e699085b8440a\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"cast\\\",\\n    COUNT(*) AS support,\\n    AVG(\\\"release_year\\\") AS avg_response\\nFROM \\\"c17\\\"\\nGROUP BY \\\"cast\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"cast\", \"support\", \"avg_response\"], \"rows\": [{\"cast\": \"\", \"support\": 825, \"avg_response\": 2016.3248484848484}, {\"cast\": \"David Attenborough\", \"support\": 19, \"avg_response\": 2013.1052631578948}, {\"cast\": \"Vatsal Dubey, Julie Tejwani, Rupa Bhimani, Jigna Bhardwaj, Rajesh Kava, Mousam, Swapnil\", \"support\": 14, \"avg_response\": 2012.7857142857142}, {\"cast\": \"Samuel West\", \"support\": 10, \"avg_response\": 2013.4}, {\"cast\": \"Jeff Dunham\", \"support\": 7, \"avg_response\": 2013.4285714285713}, {\"cast\": \"David Spade, London Hughes, Fortune Feimster\", \"support\": 6, \"avg_response\": 2020.8333333333333}, {\"cast\": \"Michela Luci, Jamie Watson, Eric Peterson, Anna Claire Bartlam, Nicolas Aqui, Cory Doran, Julie Lemieux, Derek McGrath\", \"support\": 6, \"avg_response\": 2019.5}, {\"cast\": \"Craig Sechler\", \"support\": 6, \"avg_response\": 2017.0}, {\"cast\": \"Kevin Hart\", \"support\": 6, \"avg_response\": 2013.6666666666667}, {\"cast\": \"Iliza Shlesinger\", \"support\": 5, \"avg_response\": 2016.2}, {\"cast\": \"Bill Burr\", \"support\": 5, \"avg_response\": 2014.4}, {\"cast\": \"Jim Gaffigan\", \"support\": 5, \"avg_response\": 2011.4}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.52}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_8110658b504ef3fe/run_manifest.json

@@ -0,0 +1,60 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T16:03:15.496648+00:00",
+  "ended_at": "2026-05-19T16:03:15.506102+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_8110658b504ef3fe",
+    "problem_id": "v2p_c17_815e699085b8440a",
+    "dataset_id": "c17",
+    "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=release_year, key_col=cast.",
+    "bindings": {
+      "key_col": "cast",
+      "measure_col": "release_year",
+      "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_b/c17/sql/v2q_c17_8110658b504ef3fe.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"
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81d7775a36990c1/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=duration, measure_col=release_year.
+Result preview: [{"duration": "1 Season", "percentile_measure": 2021}, {"duration": "102 min", "percentile_measure": 2021}, {"duration": "106 min", "percentile_measure": 2021}, {"duration": "107 min", "percentile_measure": 2021}, {"duration": "110 min", "percentile_measure": 2021}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81d7775a36990c1/generated_sql.sql

@@ -0,0 +1,34 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- 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_c17_d81d7775a36990c1
+-- problem_id: v2p_c17_8db85306cc638b89
+-- realization_mode: agent
+-- source_kind: agent
+WITH "ranked" AS (
+  SELECT
+    "duration",
+    CAST("release_year" AS INTEGER) AS "release_year_int",
+    COUNT(*) OVER (PARTITION BY "duration") AS "cnt",
+    CUME_DIST() OVER (
+      PARTITION BY "duration"
+      ORDER BY CAST("release_year" AS INTEGER)
+    ) AS "cd"
+  FROM "c17"
+  WHERE COALESCE(TRIM("duration"), '') <> ''
+    AND COALESCE(TRIM("release_year"), '') <> ''
+)
+SELECT
+  "duration",
+  MIN("release_year_int") AS "percentile_measure"
+FROM "ranked"
+WHERE "cnt" >= 5
+  AND "cd" >= 0.95
+GROUP BY "duration"
+ORDER BY "percentile_measure" DESC, "duration" ASC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81d7775a36990c1/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    \"duration\",\n    CAST(\"release_year\" AS INTEGER) AS \"release_year_int\",\n    COUNT(*) OVER (PARTITION BY \"duration\") AS \"cnt\",\n    CUME_DIST() OVER (\n      PARTITION BY \"duration\"\n      ORDER BY CAST(\"release_year\" AS INTEGER)\n    ) AS \"cd\"\n  FROM \"c17\"\n  WHERE COALESCE(TRIM(\"duration\"), '') <> ''\n    AND COALESCE(TRIM(\"release_year\"), '') <> ''\n)\nSELECT\n  \"duration\",\n  MIN(\"release_year_int\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cnt\" >= 5\n  AND \"cd\" >= 0.95\nGROUP BY \"duration\"\nORDER BY \"percentile_measure\" DESC, \"duration\" ASC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n  SELECT\\n    \\\"duration\\\",\\n    CAST(\\\"release_year\\\" AS INTEGER) AS \\\"release_year_int\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"duration\\\") AS \\\"cnt\\\",\\n    CUME_DIST() OVER (\\n      PARTITION BY \\\"duration\\\"\\n      ORDER BY CAST(\\\"release_year\\\" AS INTEGER)\\n    ) AS \\\"cd\\\"\\n  FROM \\\"c17\\\"\\n  WHERE COALESCE(TRIM(\\\"duration\\\"), '') <> ''\\n    AND COALESCE(TRIM(\\\"release_year\\\"), '') <> ''\\n)\\nSELECT\\n  \\\"duration\\\",\\n  MIN(\\\"release_year_int\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cnt\\\" >= 5\\n  AND \\\"cd\\\" >= 0.95\\nGROUP BY \\\"duration\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"duration\\\" ASC;\", \"columns\": [\"duration\", \"percentile_measure\"], \"rows\": [{\"duration\": \"1 Season\", \"percentile_measure\": 2021}, {\"duration\": \"102 min\", \"percentile_measure\": 2021}, {\"duration\": \"106 min\", \"percentile_measure\": 2021}, {\"duration\": \"107 min\", \"percentile_measure\": 2021}, {\"duration\": \"110 min\", \"percentile_measure\": 2021}, {\"duration\": \"111 min\", \"percentile_measure\": 2021}, {\"duration\": \"112 min\", \"percentile_measure\": 2021}, {\"duration\": \"113 min\", \"percentile_measure\": 2021}, {\"duration\": \"114 min\", \"percentile_measure\": 2021}, {\"duration\": \"115 min\", \"percentile_measure\": 2021}, {\"duration\": \"116 min\", \"percentile_measure\": 2021}, {\"duration\": \"118 min\", \"percentile_measure\": 2021}, {\"duration\": \"120 min\", \"percentile_measure\": 2021}, {\"duration\": \"122 min\", \"percentile_measure\": 2021}, {\"duration\": \"131 min\", \"percentile_measure\": 2021}, {\"duration\": \"132 min\", \"percentile_measure\": 2021}, {\"duration\": \"138 min\", \"percentile_measure\": 2021}, {\"duration\": \"140 min\", \"percentile_measure\": 2021}, {\"duration\": \"142 min\", \"percentile_measure\": 2021}, {\"duration\": \"143 min\", \"percentile_measure\": 2021}, {\"duration\": \"145 min\", \"percentile_measure\": 2021}, {\"duration\": \"148 min\", \"percentile_measure\": 2021}, {\"duration\": \"151 min\", \"percentile_measure\": 2021}, {\"duration\": \"159 min\", \"percentile_measure\": 2021}, {\"duration\": \"2 Seasons\", \"percentile_measure\": 2021}, {\"duration\": \"23 min\", \"percentile_measure\": 2021}, {\"duration\": \"25 min\", \"percentile_measure\": 2021}, {\"duration\": \"29 min\", \"percentile_measure\": 2021}, {\"duration\": \"3 Seasons\", \"percentile_measure\": 2021}, {\"duration\": \"32 min\", \"percentile_measure\": 2021}, {\"duration\": \"33 min\", \"percentile_measure\": 2021}, {\"duration\": \"35 min\", \"percentile_measure\": 2021}, {\"duration\": \"36 min\", \"percentile_measure\": 2021}, {\"duration\": \"4 Seasons\", \"percentile_measure\": 2021}, {\"duration\": \"42 min\", \"percentile_measure\": 2021}, {\"duration\": \"47 min\", \"percentile_measure\": 2021}, {\"duration\": \"48 min\", \"percentile_measure\": 2021}, {\"duration\": \"49 min\", \"percentile_measure\": 2021}, {\"duration\": \"5 Seasons\", \"percentile_measure\": 2021}, {\"duration\": \"55 min\", \"percentile_measure\": 2021}, {\"duration\": \"58 min\", \"percentile_measure\": 2021}, {\"duration\": \"6 Seasons\", \"percentile_measure\": 2021}, {\"duration\": \"60 min\", \"percentile_measure\": 2021}, {\"duration\": \"61 min\", \"percentile_measure\": 2021}, {\"duration\": \"7 Seasons\", \"percentile_measure\": 2021}, {\"duration\": \"70 min\", \"percentile_measure\": 2021}, {\"duration\": \"73 min\", \"percentile_measure\": 2021}, {\"duration\": \"74 min\", \"percentile_measure\": 2021}, {\"duration\": \"86 min\", \"percentile_measure\": 2021}, {\"duration\": \"88 min\", \"percentile_measure\": 2021}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 24.56}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81d7775a36990c1/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:53:30.015890+00:00",
+  "ended_at": "2026-05-19T15:54:14.673305+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_d81d7775a36990c1",
+    "problem_id": "v2p_c17_8db85306cc638b89",
+    "dataset_id": "c17",
+    "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=duration, measure_col=release_year.",
+    "bindings": {
+      "group_col": "duration",
+      "measure_col": "release_year",
+      "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": 2018.0,
+      "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=8",
+      "sql_variant_index=2/2",
+      "binding_index=91"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "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_b/c17/sql/v2q_c17_d81d7775a36990c1.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_d81d7775a36990c1",
+    "api_calls": 0,
+    "input_tokens": 14683,
+    "cached_input_tokens": 13696,
+    "output_tokens": 2518,
+    "total_tokens": 17201,
+    "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": 44626.33,
+    "sql_execution_elapsed_ms_total": 24.56,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81d7775a36990c1/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81d7775a36990c1/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:54:14.646516+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": 44626.33, "started_at": "2026-05-19T15:53:30.018591+00:00", "ended_at": "2026-05-19T15:54:14.644964+00:00", "prompt_metrics": {"chars": 9359, "bytes_utf8": 9361, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 900, "bytes_utf8": 900, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14683, "cached_input_tokens": 13696, "output_tokens": 2518, "reasoning_output_tokens": 2259}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n  SELECT\\n    \\\"duration\\\",\\n    CAST(\\\"release_year\\\" AS INTEGER) AS \\\"release_year_int\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"duration\\\") AS \\\"cnt\\\",\\n    CUME_DIST() OVER (\\n      PARTITION BY \\\"duration\\\"\\n      ORDER BY CAST(\\\"release_year\\\" AS INTEGER)\\n    ) AS \\\"cd\\\"\\n  FROM \\\"c17\\\"\\n  WHERE COALESCE(TRIM(\\\"duration\\\"), '') <> ''\\n    AND COALESCE(TRIM(\\\"release_year\\\"), '') <> ''\\n)\\nSELECT\\n  \\\"duration\\\",\\n  MIN(\\\"release_year_int\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cnt\\\" >= 5\\n  AND \\\"cd\\\" >= 0.95\\nGROUP BY \\\"duration\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"duration\\\" ASC;\",\"notes\":\"SQLite-compatible nearest-rank approximation of the 95th percentile using CUME_DIST(); casts \\\"release_year\\\" to INTEGER, excludes blank \\\"duration\\\"/\\\"release_year\\\", and applies min_group_size = 5.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81d7775a36990c1/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_d81d7775a36990c1",
+  "api_calls": 0,
+  "input_tokens": 14683,
+  "cached_input_tokens": 13696,
+  "output_tokens": 2518,
+  "total_tokens": 17201,
+  "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": 44626.33,
+  "sql_execution_elapsed_ms_total": 24.56,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81d7775a36990c1/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d8af18624e999d03/generated_sql.sql

@@ -0,0 +1,15 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- 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_c17_d8af18624e999d03
+-- problem_id: v2p_c17_c685ace0861a4a9a
+-- realization_mode: agent
+-- source_kind: agent
+SELECT AVG(CASE WHEN CAST("release_year" AS REAL) <= 2019.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold"
+FROM "c17";

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d8af18624e999d03/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_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"release_year\" AS REAL) <= 2019.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"c17\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"release_year\\\" AS REAL) <= 2019.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"c17\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.8245713636879755}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.38}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d8af18624e999d03/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:57:40.850813+00:00",
+  "ended_at": "2026-05-19T15:57:52.812706+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_d8af18624e999d03",
+    "problem_id": "v2p_c17_c685ace0861a4a9a",
+    "dataset_id": "c17",
+    "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=release_year.",
+    "bindings": {
+      "measure_col": "release_year",
+      "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": 2019.0,
+      "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",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_d8af18624e999d03.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_d8af18624e999d03",
+    "api_calls": 0,
+    "input_tokens": 14636,
+    "cached_input_tokens": 13696,
+    "output_tokens": 276,
+    "total_tokens": 14912,
+    "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": 10951.38,
+    "sql_execution_elapsed_ms_total": 3.38,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d8af18624e999d03/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d8af18624e999d03/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_d8af18624e999d03",
+  "api_calls": 0,
+  "input_tokens": 14636,
+  "cached_input_tokens": 13696,
+  "output_tokens": 276,
+  "total_tokens": 14912,
+  "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": 10951.38,
+  "sql_execution_elapsed_ms_total": 3.38,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d8af18624e999d03/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}