Add files using upload-large-folder tool

.gitattributes

@@ -307,3 +307,5 @@ FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00002/layers_45_all/l
 FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00002/layers_45_all/layer_44/layer_44_mask.xlsx filter=lfs diff=lfs merge=lfs -text
 FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00002/layers_45_all/layer_45/layer_45_mask.xlsx filter=lfs diff=lfs merge=lfs -text
 FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00003/layers_45_all/layer_01/layer_01_mask.xlsx filter=lfs diff=lfs merge=lfs -text
+FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08952/src.xlsx filter=lfs diff=lfs merge=lfs -text
+FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08952/mask_last.xlsx filter=lfs diff=lfs merge=lfs -text

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08749/audit.json

@@ -0,0 +1,430 @@
+{
+  "gate": {
+    "pre_nl_gate": {
+      "gate_label": "GATE_PASS",
+      "gate_pass": true,
+      "hard_fails": 0,
+      "warns": 0,
+      "checks": [
+        {
+          "check": "final_target_gate",
+          "pass": true,
+          "detail": "final_target has 24 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=240843B, src=284874B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=2.0 (total=48, final=24)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "46 unique values across 48 cells"
+        },
+        {
+          "check": "tail_artifact",
+          "pass": true,
+          "detail": "0 bad values"
+        },
+        {
+          "check": "unrecoverable_leaf",
+          "pass": true,
+          "detail": "hidden_const=1 hidden:[L2:Sheet1!H4[2011]]",
+          "hidden_const_cells": [
+            "L2:Sheet1!H4[2011]"
+          ]
+        },
+        {
+          "check": "adjacent_column_leak",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "header_name_accuracy",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "duplicate_lookup_tie_break",
+          "pass": true,
+          "severity": null,
+          "detail": "24 lookups"
+        },
+        {
+          "check": "src_chain_integrity",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean",
+          "sub_checks": {
+            "error_cells": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "external_refs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "volatile_funcs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "missing_sheets": {
+              "pass": true,
+              "count": 0,
+              "sheets": []
+            },
+            "circular_refs": {
+              "pass": true,
+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
+        }
+      ]
+    },
+    "post_nl_validate": {
+      "validate_label": "SOFT_WARN",
+      "validate_pass": true,
+      "hard_fails": 0,
+      "soft_warns": 2,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": false,
+          "detail": "contract=3, prompt=1, missing=2",
+          "missing_ranges": [
+            "H4",
+            "J4:J26"
+          ],
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "cell_count_match",
+          "pass": true,
+          "detail": "no explicit total found; skipping (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "step_count_match",
+          "pass": true,
+          "detail": "contract=1, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": true,
+          "detail": "contract=['Sheet1'], missing=[]",
+          "severity": "OK"
+        },
+        {
+          "check": "no_formula_leak",
+          "pass": true,
+          "detail": "0 formula leaks",
+          "severity": "OK"
+        },
+        {
+          "check": "no_value_leak",
+          "pass": true,
+          "detail": "0 value leaks out of 24 GT cells",
+          "severity": "OK"
+        },
+        {
+          "check": "final_target_first",
+          "pass": true,
+          "detail": "no explicit final target marker (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "output_format",
+          "pass": true,
+          "detail": "output format found",
+          "severity": "OK"
+        },
+        {
+          "check": "header_in_prompt",
+          "pass": true,
+          "detail": "no column headers found in prompt",
+          "severity": "OK"
+        },
+        {
+          "check": "hint_specificity",
+          "pass": true,
+          "detail": "clean",
+          "severity": "OK"
+        },
+        {
+          "check": "evidence_scope",
+          "pass": true,
+          "detail": "no cross-sheet refs in GT",
+          "severity": "OK"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 3 col groups"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": false,
+          "detail": "GT funcs: ['DATE', 'DATEVALUE', 'HOUR', 'INDEX', 'MATCH', 'MONTH']; MISMATCHES: GT uses MATCH but NL doesn't mention any of: find, match, position",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "unmatched_default_rule",
+          "pass": true,
+          "detail": "no default-rule phrase found in NL",
+          "severity": "OK"
+        },
+        {
+          "check": "volatile_function_freeze",
+          "pass": true,
+          "detail": "volatile_cells=0",
+          "severity": "OK"
+        },
+        {
+          "check": "direct_answer_leakage",
+          "pass": true,
+          "detail": "0 leaks out of 48 GT cells (0%)",
+          "severity": "OK"
+        }
+      ]
+    },
+    "pre_nl_local": {
+      "local_total": 58,
+      "local_label": "PENDING_NL",
+      "hard_fail_flags": [],
+      "warnings": [
+        "nl_missing"
+      ],
+      "local_subscores": {
+        "family_clean": 25,
+        "target_integrity": 15,
+        "taxonomy": 10,
+        "semantic_signal": 8,
+        "nl_schema": 0,
+        "target_alignment": 0,
+        "business_specificity": 0,
+        "nl_risk": 0
+      }
+    }
+  },
+  "verify": {
+    "uniqueness": {
+      "total_gt_cells": 48,
+      "total_non_none": 48,
+      "block_reasons": [],
+      "warnings": [
+        "mixed_gt_types:{'int': 24, 'str': 24}"
+      ],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "int": 24,
+            "str": 24
+          },
+          "mixed": true
+        },
+        "empty_gt": {
+          "count": 0,
+          "details": []
+        }
+      }
+    },
+    "src_chain": {
+      "hard_block": false,
+      "block_reasons": [],
+      "checks": {
+        "error_cells": {
+          "pass": true,
+          "count": 0,
+          "cells": []
+        },
+        "external_refs": {
+          "pass": true,
+          "count": 0,
+          "cells": []
+        },
+        "volatile_funcs": {
+          "pass": true,
+          "count": 0,
+          "cells": []
+        },
+        "missing_sheets": {
+          "pass": true,
+          "count": 0,
+          "sheets": []
+        },
+        "circular_refs": {
+          "pass": true,
+          "cycle_cells": []
+        }
+      },
+      "required_chain_scope": {
+        "external_ref_in_required_chain": 0,
+        "external_ref_in_other": 0,
+        "error_cells_in_required_chain": 0,
+        "error_cells_in_other": 0,
+        "required_chain_cells": 48
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 48,
+      "total_masked": 48,
+      "total_visible": 43819,
+      "depth": 2,
+      "block_reasons": [],
+      "warnings": [],
+      "checks": {
+        "broken_chains": {
+          "count": 0,
+          "checked": 48,
+          "details": []
+        },
+        "orphan_masks": {
+          "count": 0,
+          "details": []
+        },
+        "self_contained": {
+          "missing_sheets": []
+        }
+      }
+    },
+    "exemplar": {
+      "soft_block": true,
+      "block_reasons": [
+        "zero_exemplar:2_patterns"
+      ],
+      "checks": {
+        "pattern_coverage": {
+          "pass": false,
+          "total_gt_patterns": 3,
+          "total_src_patterns": 3,
+          "zero_exemplar_count": 2,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": false,
+          "patterns": [
+            {
+              "pattern": "=REF+1/24",
+              "total_in_src": 23,
+              "sample_formula": "=J3+1/24"
+            },
+            {
+              "pattern": "=DATE(2011,MONTH(DATEVALUE(\"1-\"&REF)),REF)",
+              "total_in_src": 1,
+              "sample_formula": "=DATE(2011,MONTH(DATEVALUE(\"1-\"&$H$3)),$H$2)"
+            }
+          ]
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "DATE": {
+            "total_masked": 1,
+            "visible_exemplars": 0
+          },
+          "INDEX": {
+            "total_masked": 24,
+            "visible_exemplars": 72
+          },
+          "arithmetic": {
+            "total_masked": 23,
+            "visible_exemplars": 0
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.0,
+      "flags": []
+    },
+    "release_audit": {
+      "surface_single_sheet": true,
+      "surface_sheets": [
+        "Sheet1"
+      ],
+      "cross_sheet_actual": false,
+      "cross_sheet_ref_count": 0,
+      "referenced_sheets": [],
+      "target_shape": "single_column_series",
+      "layer_sizes": [
+        24,
+        24
+      ],
+      "mask_last_total_cells": 48,
+      "layer_growth_ratios": [
+        1.0
+      ],
+      "pattern_dominance_ratio": 0.5,
+      "visible_clone_regions": 0,
+      "nearby_visible_clone_regions": 0,
+      "nearby_visible_clone_rows": 0,
+      "nearby_visible_clone_ratio": 0.0,
+      "promptability_score": 1.0,
+      "release_reasons": [],
+      "release_verdict": "KEEP"
+    }
+  },
+  "difficulty": {
+    "task_id": "single_sheet__dag_3eed9f951c2e",
+    "difficulty_score": 45.8,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 48,
+    "is_cross_sheet": false,
+    "unique_patterns": 3,
+    "avg_complexity": 6.0,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.04,
+    "score_breakdown": {
+      "depth": 7,
+      "cross_sheet": 0,
+      "cell_count": 11.2,
+      "patterns": 9,
+      "complexity": 9.0,
+      "cross_refs": 0,
+      "vis_penalty": 9.6
+    }
+  }
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08749/ground_truth_full.json

@@ -0,0 +1,434 @@
+[
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 3,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J3))",
+    "cached_value": 82,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 4,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J4))",
+    "cached_value": 62,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 5,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J5))",
+    "cached_value": 26,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 6,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J6))",
+    "cached_value": 61,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 7,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J7))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 8,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J8))",
+    "cached_value": 31,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 9,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J9))",
+    "cached_value": 86,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 10,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J10))",
+    "cached_value": 59,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 11,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J11))",
+    "cached_value": 43,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 12,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J12))",
+    "cached_value": 4,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 13,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J13))",
+    "cached_value": 76,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 14,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J14))",
+    "cached_value": 99,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 15,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J15))",
+    "cached_value": 47,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 16,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J16))",
+    "cached_value": 53,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 17,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J17))",
+    "cached_value": 26,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 18,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J18))",
+    "cached_value": 23,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 19,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J19))",
+    "cached_value": 77,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 20,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J20))",
+    "cached_value": 18,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 21,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J21))",
+    "cached_value": 96,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 22,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J22))",
+    "cached_value": 68,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 23,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J23))",
+    "cached_value": 2,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 24,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J24))",
+    "cached_value": 1,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 25,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J25))",
+    "cached_value": 31,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 26,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J26))",
+    "cached_value": 51,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 4,
+    "formula": "=J3+1/24",
+    "cached_value": "01:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 5,
+    "formula": "=J4+1/24",
+    "cached_value": "02:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 6,
+    "formula": "=J5+1/24",
+    "cached_value": "03:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 7,
+    "formula": "=J6+1/24",
+    "cached_value": "04:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 8,
+    "formula": "=J7+1/24",
+    "cached_value": "05:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 9,
+    "formula": "=J8+1/24",
+    "cached_value": "06:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 10,
+    "formula": "=J9+1/24",
+    "cached_value": "07:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 11,
+    "formula": "=J10+1/24",
+    "cached_value": "08:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 12,
+    "formula": "=J11+1/24",
+    "cached_value": "09:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 13,
+    "formula": "=J12+1/24",
+    "cached_value": "10:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 14,
+    "formula": "=J13+1/24",
+    "cached_value": "11:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 15,
+    "formula": "=J14+1/24",
+    "cached_value": "12:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 16,
+    "formula": "=J15+1/24",
+    "cached_value": "13:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 17,
+    "formula": "=J16+1/24",
+    "cached_value": "14:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 18,
+    "formula": "=J17+1/24",
+    "cached_value": "15:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 19,
+    "formula": "=J18+1/24",
+    "cached_value": "16:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 20,
+    "formula": "=J19+1/24",
+    "cached_value": "17:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 21,
+    "formula": "=J20+1/24",
+    "cached_value": "18:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 22,
+    "formula": "=J21+1/24",
+    "cached_value": "19:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 23,
+    "formula": "=J22+1/24",
+    "cached_value": "20:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 24,
+    "formula": "=J23+1/24",
+    "cached_value": "21:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 25,
+    "formula": "=J24+1/24",
+    "cached_value": "22:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "J",
+    "row": 26,
+    "formula": "=J25+1/24",
+    "cached_value": "23:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "H",
+    "row": 4,
+    "formula": "=DATE(2011,MONTH(DATEVALUE(\"1-\"&$H$3)),$H$2)",
+    "cached_value": "2011-01-01 00:00:00",
+    "pattern_id": "pf_0002",
+    "layer": 2
+  }
+]

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08749/ground_truth_target.json

@@ -0,0 +1,194 @@
+[
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 3,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J3))",
+    "cached_value": 82,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 4,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J4))",
+    "cached_value": 62,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 5,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J5))",
+    "cached_value": 26,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 6,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J6))",
+    "cached_value": 61,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 7,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J7))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 8,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J8))",
+    "cached_value": 31,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 9,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J9))",
+    "cached_value": 86,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 10,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J10))",
+    "cached_value": 59,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 11,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J11))",
+    "cached_value": 43,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 12,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J12))",
+    "cached_value": 4,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 13,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J13))",
+    "cached_value": 76,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 14,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J14))",
+    "cached_value": 99,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 15,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J15))",
+    "cached_value": 47,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 16,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J16))",
+    "cached_value": 53,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 17,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J17))",
+    "cached_value": 26,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 18,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J18))",
+    "cached_value": 23,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 19,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J19))",
+    "cached_value": 77,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 20,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J20))",
+    "cached_value": 18,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 21,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J21))",
+    "cached_value": 96,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 22,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J22))",
+    "cached_value": 68,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 23,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J23))",
+    "cached_value": 2,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 24,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J24))",
+    "cached_value": 1,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 25,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J25))",
+    "cached_value": 31,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "N",
+    "row": 26,
+    "formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J26))",
+    "cached_value": 51,
+    "pattern_id": "pf_0000"
+  }
+]

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08749/release_qc.json

@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "CORRECT: the mask is clean and the dependency chain is reconstructible from visible lookup formulas, headers, and adjacent data, though the NL prompt is somewhat vague.",
+  "D1": {
+    "score": 4,
+    "reason": "All 48 contract cells are truly masked, there are no phantom cells, no extra masked cells, and the formula-cache losses are correctly identified as openpyxl artifacts rather than masking. There is substantial visible same-pattern evidence in K:M, and N can be adapted from those formulas by changing the source column to E, but the solver still must reconstruct H4 and J4:J26, so it is not purely zero-reasoning row-copy leakage."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The GT formulas are consistent across N3:N26 and align with the visible lookup-table structure: INDEX over Value4 column E, MATCH on the lookup date in H4 against raw dates in A, offset by HOUR of the corresponding time in J. Cached values match the visible raw Value4 values for the Jan 1 hourly rows. The formulas are deterministic and internally consistent."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The prompt clearly identifies the final target range N3:N26 and explains that earlier blank related fields must also be completed. However, it does not explicitly name H4 or J4:J26 as prerequisites, so the solver must infer those from the sheet structure and visible formulas."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "Using only mask_last.xlsx and the prompt, the task is solvable. Visible formulas in K:M expose the lookup pattern, including the dependency on H4 and J-row times. Headers show Day, Month, Date, Time, and Value1-Value4, while J3 provides the starting time 00:00:00. H4 can be inferred as the lookup date from visible Day=1 and Month=Jan, with the raw date column referenced by the visible formulas. J4:J26 can be inferred as hourly increments from J3 because the visible formulas use HOUR($Jrow) and the section is a 24-hour lookup table. Minor uncertainty remains because the prompt itself is vague and the year/date construction is not explicitly stated, but the workbook gives enough root evidence.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 5,
+    "reason": "The source workbook appears structurally sound: headers are meaningful, raw data and lookup sections are coherent, formulas are consistent across the lookup columns, and there is no evidence of corruption, circular references, broken formulas, or inconsistent source data."
+  },
+  "D6": {
+    "score": 4,
+    "reason": "The NL request sounds reasonably like a workplace data-completion instruction and avoids benchmark-specific jargon. It is slightly generic and indirect, especially the phrase about earlier blank fields, but overall natural."
+  },
+  "total": 26,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality task with clean masking, correct GT, and sufficient visible evidence for reconstruction. The main weakness is a somewhat vague NL prompt and strong visible same-pattern exemplars, but these do not make the task invalid.",
+  "frontier_hardness": {
+    "score": 2,
+    "reason": "A frontier model should likely solve this. The visible K:M formulas reveal nearly the entire lookup pattern, and the remaining prerequisites require only modest reconstruction of the date and hourly time sequence. There is no cross-sheet reasoning and no hidden special-case logic.",
+    "fail_reason": "easy",
+    "is_valid_hardness": false
+  },
+  "_prompt_chars": 44372,
+  "_timing_load_workbooks": 1.84,
+  "_timing_context": 0.07,
+  "_timing_api": 97.55,
+  "local_difficulty": {
+    "difficulty_score": 45.8,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 48,
+    "is_cross_sheet": false,
+    "unique_patterns": 3,
+    "avg_complexity": 6,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.04
+  },
+  "task_id": "single_sheet__dag_3eed9f951c2e",
+  "elapsed": 99.5,
+  "publish_decision": "YES",
+  "release_tier": "SILVER",
+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08749/target_contract.json

@@ -0,0 +1,108 @@
+{
+  "task_id": "single_sheet__dag_3eed9f951c2e",
+  "category": "single_sheet",
+  "depth": 2,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "Sheet1",
+        "column": "N",
+        "column_header": "Value4",
+        "cell_range": "N3:N26",
+        "cell_count": 24,
+        "rows": [
+          3,
+          4,
+          5,
+          6,
+          7,
+          8,
+          9,
+          10,
+          11,
+          12,
+          13,
+          14,
+          15,
+          16,
+          17,
+          18,
+          19,
+          20,
+          21,
+          22,
+          23,
+          24,
+          25,
+          26
+        ],
+        "first_row_label": "",
+        "last_row_label": ""
+      }
+    ],
+    "cell_count": 24,
+    "formula_families": [
+      "lookup"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Sheet1",
+          "column": "H",
+          "column_header": "Jan",
+          "cell_range": "H4",
+          "cell_count": 1,
+          "rows": [
+            4
+          ],
+          "first_row_label": "",
+          "last_row_label": ""
+        },
+        {
+          "sheet": "Sheet1",
+          "column": "J",
+          "column_header": "Time",
+          "cell_range": "J4:J26",
+          "cell_count": 23,
+          "rows": [
+            4,
+            5,
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            25,
+            26
+          ],
+          "first_row_label": "",
+          "last_row_label": ""
+        }
+      ],
+      "cell_count": 24
+    }
+  ],
+  "total_prerequisite_cells": 24,
+  "total_masked_cells": 48,
+  "ratio_total_vs_final": 2.0,
+  "sheets_involved": [
+    "Sheet1"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08909/audit.json

@@ -0,0 +1,417 @@
+{
+  "gate": {
+    "pre_nl_gate": {
+      "gate_label": "GATE_PASS",
+      "gate_pass": true,
+      "hard_fails": 0,
+      "warns": 0,
+      "checks": [
+        {
+          "check": "final_target_gate",
+          "pass": true,
+          "detail": "final_target has 17 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=7924B, src=12930B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=2.0 (total=34, final=17)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "17 unique values across 34 cells"
+        },
+        {
+          "check": "tail_artifact",
+          "pass": true,
+          "detail": "0 bad values"
+        },
+        {
+          "check": "unrecoverable_leaf",
+          "pass": true,
+          "detail": "clean",
+          "hidden_const_cells": []
+        },
+        {
+          "check": "adjacent_column_leak",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "header_name_accuracy",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "duplicate_lookup_tie_break",
+          "pass": true,
+          "detail": "no lookup formulas"
+        },
+        {
+          "check": "src_chain_integrity",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean",
+          "sub_checks": {
+            "error_cells": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "external_refs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "volatile_funcs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "missing_sheets": {
+              "pass": true,
+              "count": 0,
+              "sheets": []
+            },
+            "circular_refs": {
+              "pass": true,
+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
+        }
+      ]
+    },
+    "post_nl_validate": {
+      "validate_label": "CLEAN",
+      "validate_pass": true,
+      "hard_fails": 0,
+      "soft_warns": 0,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": true,
+          "detail": "contract=34, prompt=17, missing=0",
+          "missing_ranges": [],
+          "severity": "OK"
+        },
+        {
+          "check": "cell_count_match",
+          "pass": true,
+          "detail": "no explicit total found; skipping (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "step_count_match",
+          "pass": true,
+          "detail": "contract=1, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": true,
+          "detail": "contract=['Sheet1'], missing=[]",
+          "severity": "OK"
+        },
+        {
+          "check": "no_formula_leak",
+          "pass": true,
+          "detail": "0 formula leaks",
+          "severity": "OK"
+        },
+        {
+          "check": "no_value_leak",
+          "pass": true,
+          "detail": "0 value leaks out of 17 GT cells",
+          "severity": "OK"
+        },
+        {
+          "check": "final_target_first",
+          "pass": true,
+          "detail": "no explicit final target marker (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "output_format",
+          "pass": true,
+          "detail": "output format found",
+          "severity": "OK"
+        },
+        {
+          "check": "header_in_prompt",
+          "pass": true,
+          "detail": "no column headers found in prompt",
+          "severity": "OK"
+        },
+        {
+          "check": "hint_specificity",
+          "pass": true,
+          "detail": "clean",
+          "severity": "OK"
+        },
+        {
+          "check": "evidence_scope",
+          "pass": true,
+          "detail": "no cross-sheet refs in GT",
+          "severity": "OK"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 1 col groups"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": true,
+          "detail": "GT funcs: []",
+          "severity": "OK"
+        },
+        {
+          "check": "unmatched_default_rule",
+          "pass": true,
+          "detail": "no default-rule phrase found in NL",
+          "severity": "OK"
+        },
+        {
+          "check": "volatile_function_freeze",
+          "pass": true,
+          "detail": "volatile_cells=0",
+          "severity": "OK"
+        },
+        {
+          "check": "direct_answer_leakage",
+          "pass": true,
+          "detail": "0 leaks out of 34 GT cells (0%)",
+          "severity": "OK"
+        }
+      ]
+    },
+    "pre_nl_local": {
+      "local_total": 55,
+      "local_label": "PENDING_NL",
+      "hard_fail_flags": [],
+      "warnings": [
+        "nl_missing"
+      ],
+      "local_subscores": {
+        "family_clean": 25,
+        "target_integrity": 15,
+        "taxonomy": 10,
+        "semantic_signal": 5,
+        "nl_schema": 0,
+        "target_alignment": 0,
+        "business_specificity": 0,
+        "nl_risk": 0
+      }
+    }
+  },
+  "verify": {
+    "uniqueness": {
+      "total_gt_cells": 34,
+      "total_non_none": 34,
+      "block_reasons": [],
+      "warnings": [],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "str": 34
+          },
+          "mixed": false
+        },
+        "empty_gt": {
+          "count": 0,
+          "details": []
+        }
+      }
+    },
+    "src_chain": {
+      "hard_block": false,
+      "block_reasons": [],
+      "checks": {
+        "error_cells": {
+          "pass": true,
+          "count": 0,
+          "cells": []
+        },
+        "external_refs": {
+          "pass": true,
+          "count": 0,
+          "cells": []
+        },
+        "volatile_funcs": {
+          "pass": true,
+          "count": 0,
+          "cells": []
+        },
+        "missing_sheets": {
+          "pass": true,
+          "count": 0,
+          "sheets": []
+        },
+        "circular_refs": {
+          "pass": true,
+          "cycle_cells": []
+        }
+      },
+      "required_chain_scope": {
+        "external_ref_in_required_chain": 0,
+        "external_ref_in_other": 0,
+        "error_cells_in_required_chain": 0,
+        "error_cells_in_other": 0,
+        "required_chain_cells": 34
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 34,
+      "total_masked": 34,
+      "total_visible": 131,
+      "depth": 2,
+      "block_reasons": [],
+      "warnings": [],
+      "checks": {
+        "broken_chains": {
+          "count": 0,
+          "checked": 34,
+          "details": []
+        },
+        "orphan_masks": {
+          "count": 0,
+          "details": []
+        },
+        "self_contained": {
+          "missing_sheets": []
+        }
+      }
+    },
+    "exemplar": {
+      "soft_block": true,
+      "block_reasons": [
+        "zero_exemplar:2_patterns"
+      ],
+      "checks": {
+        "pattern_coverage": {
+          "pass": false,
+          "total_gt_patterns": 2,
+          "total_src_patterns": 3,
+          "zero_exemplar_count": 2,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": false,
+          "patterns": [
+            {
+              "pattern": "=REF+1",
+              "total_in_src": 17,
+              "sample_formula": "=A4+1"
+            },
+            {
+              "pattern": "=REF",
+              "total_in_src": 17,
+              "sample_formula": "=A5"
+            }
+          ]
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "reference": {
+            "total_masked": 17,
+            "visible_exemplars": 0
+          },
+          "arithmetic": {
+            "total_masked": 17,
+            "visible_exemplars": 0
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.0,
+      "flags": []
+    },
+    "release_audit": {
+      "surface_single_sheet": true,
+      "surface_sheets": [
+        "Sheet1"
+      ],
+      "cross_sheet_actual": false,
+      "cross_sheet_ref_count": 0,
+      "referenced_sheets": [],
+      "target_shape": "template_column_fill",
+      "layer_sizes": [
+        17,
+        17
+      ],
+      "mask_last_total_cells": 34,
+      "layer_growth_ratios": [
+        1.0
+      ],
+      "pattern_dominance_ratio": 0.5,
+      "visible_clone_regions": 0,
+      "nearby_visible_clone_regions": 0,
+      "nearby_visible_clone_rows": 0,
+      "nearby_visible_clone_ratio": 0.0,
+      "promptability_score": 1.0,
+      "release_reasons": [],
+      "release_verdict": "KEEP"
+    }
+  },
+  "difficulty": {
+    "task_id": "single_sheet__dag_5b62283dc61f",
+    "difficulty_score": 35.8,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 34,
+    "is_cross_sheet": false,
+    "unique_patterns": 2,
+    "avg_complexity": 3.0,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.19,
+    "score_breakdown": {
+      "depth": 7,
+      "cross_sheet": 0,
+      "cell_count": 10.2,
+      "patterns": 6,
+      "complexity": 4.5,
+      "cross_refs": 0,
+      "vis_penalty": 8.1
+    }
+  }
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08909/ground_truth_full.json

@@ -0,0 +1,308 @@
+[
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 6,
+    "formula": "=A5",
+    "cached_value": "2020-05-14 00:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 8,
+    "formula": "=A7",
+    "cached_value": "2020-05-15 00:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 10,
+    "formula": "=A9",
+    "cached_value": "2020-05-16 00:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 12,
+    "formula": "=A11",
+    "cached_value": "2020-05-17 00:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 14,
+    "formula": "=A13",
+    "cached_value": "2020-05-18 00:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 16,
+    "formula": "=A15",
+    "cached_value": "2020-05-19 00:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 18,
+    "formula": "=A17",
+    "cached_value": "2020-05-20 00:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 20,
+    "formula": "=A19",
+    "cached_value": "2020-05-21 00:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 22,
+    "formula": "=A21",
+    "cached_value": "2020-05-22 00:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 24,
+    "formula": "=A23",
+    "cached_value": "2020-05-23 00:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 26,
+    "formula": "=A25",
+    "cached_value": "2020-05-24 00:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 28,
+    "formula": "=A27",
+    "cached_value": "2020-05-25 00:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 30,
+    "formula": "=A29",
+    "cached_value": "2020-05-26 00:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 32,
+    "formula": "=A31",
+    "cached_value": "2020-05-27 00:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 34,
+    "formula": "=A33",
+    "cached_value": "2020-05-28 00:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 36,
+    "formula": "=A35",
+    "cached_value": "2020-05-29 00:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 38,
+    "formula": "=A37",
+    "cached_value": "2020-05-30 00:00:00",
+    "pattern_id": "pf_0001",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 5,
+    "formula": "=A4+1",
+    "cached_value": "2020-05-14 00:00:00",
+    "pattern_id": "pf_0000",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 7,
+    "formula": "=A6+1",
+    "cached_value": "2020-05-15 00:00:00",
+    "pattern_id": "pf_0000",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 9,
+    "formula": "=A8+1",
+    "cached_value": "2020-05-16 00:00:00",
+    "pattern_id": "pf_0000",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 11,
+    "formula": "=A10+1",
+    "cached_value": "2020-05-17 00:00:00",
+    "pattern_id": "pf_0000",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 13,
+    "formula": "=A12+1",
+    "cached_value": "2020-05-18 00:00:00",
+    "pattern_id": "pf_0000",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 15,
+    "formula": "=A14+1",
+    "cached_value": "2020-05-19 00:00:00",
+    "pattern_id": "pf_0000",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 17,
+    "formula": "=A16+1",
+    "cached_value": "2020-05-20 00:00:00",
+    "pattern_id": "pf_0000",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 19,
+    "formula": "=A18+1",
+    "cached_value": "2020-05-21 00:00:00",
+    "pattern_id": "pf_0000",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 21,
+    "formula": "=A20+1",
+    "cached_value": "2020-05-22 00:00:00",
+    "pattern_id": "pf_0000",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 23,
+    "formula": "=A22+1",
+    "cached_value": "2020-05-23 00:00:00",
+    "pattern_id": "pf_0000",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 25,
+    "formula": "=A24+1",
+    "cached_value": "2020-05-24 00:00:00",
+    "pattern_id": "pf_0000",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 27,
+    "formula": "=A26+1",
+    "cached_value": "2020-05-25 00:00:00",
+    "pattern_id": "pf_0000",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 29,
+    "formula": "=A28+1",
+    "cached_value": "2020-05-26 00:00:00",
+    "pattern_id": "pf_0000",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 31,
+    "formula": "=A30+1",
+    "cached_value": "2020-05-27 00:00:00",
+    "pattern_id": "pf_0000",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 33,
+    "formula": "=A32+1",
+    "cached_value": "2020-05-28 00:00:00",
+    "pattern_id": "pf_0000",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 35,
+    "formula": "=A34+1",
+    "cached_value": "2020-05-29 00:00:00",
+    "pattern_id": "pf_0000",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 37,
+    "formula": "=A36+1",
+    "cached_value": "2020-05-30 00:00:00",
+    "pattern_id": "pf_0000",
+    "layer": 2
+  }
+]

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08909/ground_truth_target.json

@@ -0,0 +1,138 @@
+[
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 6,
+    "formula": "=A5",
+    "cached_value": "2020-05-14 00:00:00",
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 8,
+    "formula": "=A7",
+    "cached_value": "2020-05-15 00:00:00",
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 10,
+    "formula": "=A9",
+    "cached_value": "2020-05-16 00:00:00",
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 12,
+    "formula": "=A11",
+    "cached_value": "2020-05-17 00:00:00",
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 14,
+    "formula": "=A13",
+    "cached_value": "2020-05-18 00:00:00",
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 16,
+    "formula": "=A15",
+    "cached_value": "2020-05-19 00:00:00",
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 18,
+    "formula": "=A17",
+    "cached_value": "2020-05-20 00:00:00",
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 20,
+    "formula": "=A19",
+    "cached_value": "2020-05-21 00:00:00",
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 22,
+    "formula": "=A21",
+    "cached_value": "2020-05-22 00:00:00",
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 24,
+    "formula": "=A23",
+    "cached_value": "2020-05-23 00:00:00",
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 26,
+    "formula": "=A25",
+    "cached_value": "2020-05-24 00:00:00",
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 28,
+    "formula": "=A27",
+    "cached_value": "2020-05-25 00:00:00",
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 30,
+    "formula": "=A29",
+    "cached_value": "2020-05-26 00:00:00",
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 32,
+    "formula": "=A31",
+    "cached_value": "2020-05-27 00:00:00",
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 34,
+    "formula": "=A33",
+    "cached_value": "2020-05-28 00:00:00",
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 36,
+    "formula": "=A35",
+    "cached_value": "2020-05-29 00:00:00",
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "A",
+    "row": 38,
+    "formula": "=A37",
+    "cached_value": "2020-05-30 00:00:00",
+    "pattern_id": "pf_0001"
+  }
+]

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08909/layers.json

@@ -0,0 +1,131 @@
+{
+  "dag_id": "dag_5b62283dc61f",
+  "file_id": "680227d1590863695-my-sumifs-isnt-working-travel-card-reconciliation",
+  "category": "single_sheet",
+  "surface_category": "single_sheet",
+  "effective_category": "single_sheet",
+  "depth": 2,
+  "quality": {
+    "chain_error_cells": 0,
+    "chain_external_cells": 0,
+    "is_clean": true
+  },
+  "layers": [
+    {
+      "layer_index": 1,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00017",
+            "rg_00018",
+            "rg_00019",
+            "rg_00020",
+            "rg_00021",
+            "rg_00022",
+            "rg_00023",
+            "rg_00024",
+            "rg_00025",
+            "rg_00026",
+            "rg_00027",
+            "rg_00028",
+            "rg_00029",
+            "rg_00030",
+            "rg_00031",
+            "rg_00032",
+            "rg_00033"
+          ],
+          "sheet": "Sheet1",
+          "col": "A",
+          "rows": [
+            6,
+            8,
+            10,
+            12,
+            14,
+            16,
+            18,
+            20,
+            22,
+            24,
+            26,
+            28,
+            30,
+            32,
+            34,
+            36,
+            38
+          ],
+          "row_ranges": "6,8,10,12,14,16,18,20,22,24,26,28,30,32,34,36,38",
+          "row_count": 17,
+          "pattern_id": "pf_0001",
+          "normalized_pattern": "=[C,R-1]",
+          "sample_formula": "=A5"
+        }
+      ],
+      "new_eval_cells": 17,
+      "total_masked_cells": 17
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00000",
+            "rg_00001",
+            "rg_00002",
+            "rg_00003",
+            "rg_00004",
+            "rg_00005",
+            "rg_00006",
+            "rg_00007",
+            "rg_00008",
+            "rg_00009",
+            "rg_00010",
+            "rg_00011",
+            "rg_00012",
+            "rg_00013",
+            "rg_00014",
+            "rg_00015",
+            "rg_00016"
+          ],
+          "sheet": "Sheet1",
+          "col": "A",
+          "rows": [
+            5,
+            7,
+            9,
+            11,
+            13,
+            15,
+            17,
+            19,
+            21,
+            23,
+            25,
+            27,
+            29,
+            31,
+            33,
+            35,
+            37
+          ],
+          "row_ranges": "5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,35,37",
+          "row_count": 17,
+          "pattern_id": "pf_0000",
+          "normalized_pattern": "=[C,R-1]+1",
+          "sample_formula": "=A4+1"
+        }
+      ],
+      "new_eval_cells": 17,
+      "total_masked_cells": 34
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00033",
+    "sheet": "Sheet1",
+    "col": "A",
+    "pattern_id": "pf_0001",
+    "row_count": 1,
+    "family_size": 17
+  }
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08909/nl_task.json

@@ -0,0 +1,26 @@
+{
+  "task_id": "single_sheet__dag_5b62283dc61f",
+  "prompt_en": "The Travel Card Reconciliation sheet is organized around travel-card lines with Date, Who?, What, Category, Column1, and charge-code columns such as Com Carrier - 2110, Fuel Cost - 2140, Laundry - 2140, and Lodging - 2120. Please fill in the missing entries in the Date column on Sheet1 for the blank rows at A6, A8, A10, A12, A14, A16, A18, A20, A22, A24, A26, A28, A30, A32, A34, A36, and A38. The date entries should be in place first because the other travel-card details on those rows are tied to the dated reconciliation lines. When you’re done, save the completed file as an .xlsx workbook.",
+  "prompt_cn": "“Travel Card Reconciliation”这张表是按差旅卡记录整理的，包含 Date、Who?、What、Category、Column1，以及 Com Carrier - 2110、Fuel Cost - 2140、Laundry - 2140、Lodging - 2120 等费用代码列。请在 Sheet1 的 Date 列中补齐缺失的日期，位置是 A6、A8、A10、A12、A14、A16、A18、A20、A22、A24、A26、A28、A30、A32、A34、A36 和 A38。这些日期需要先填好，因为同一行的其他差旅卡明细都对应到这些带日期的 reconciliation 记录。完成后，请将文件保存为 .xlsx 工作簿。",
+  "quality_notes": "The prompt is specific to the visible Travel Card Reconciliation sheet and identifies the Date column blanks with the provided ranges. It avoids formulas, operational hints, and masked-answer values while naturally noting that the dates anchor related row details.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 17,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
+      "operation_words": 0,
+      "cell_range_density": 12,
+      "step_by_step": 5,
+      "column_operation_mapping": 0,
+      "formula_pattern_hints": 0
+    },
+    "operation_words_found": [],
+    "cell_ranges_found": 0
+  },
+  "version": "v7",
+  "model": "gpt-5.5",
+  "elapsed": 66.2,
+  "attempt": 2
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08909/release_qc.json

@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "CORRECT — the mask is clean, all cells are real, GT formulas are consistent, and the date-pair pattern is inferable from the visible sheet structure.",
+  "D1": {
+    "score": 5,
+    "reason": "All 34 contract cells are within the actual Sheet1 range and are truly masked. There are no extra masked cells outside the contract. The prerequisite cells being masked is consistent with the depth-2 chain design. No problematic formula-cache artifacts need to be treated as additional blanks, and there is no trivially copyable visible same-column formula pattern."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The ground-truth formulas are consistent with the source workbook: odd prerequisite rows advance the date by one day from the prior tax row, and even final target rows repeat the date from the immediately preceding lodging row. Cached values align with the visible sequence from 2020-05-14 through 2020-05-30. The formulas are deterministic and simple."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL description clearly identifies the sheet, the Date column, and the exact final target cells to fill. It is understandable, though it does not explicitly mention that the intervening odd Date cells are also blank prerequisites, which could cause mild confusion for a solver who notices all Date blanks."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "Using only mask_last.xlsx and the NL prompt, the task is reasonably solvable. The visible rows A3:A4 establish that lodging and lodging-tax lines share a date, and the alternating Lodging / Lodging Tax rows with sequential codes strongly indicate one date per pair, advancing by one day for each new lodging pair. The solver can reconstruct the dependency chain by filling odd rows as the next day and even rows as equal to the immediately preceding odd row. The only minor gap is that no post-row-4 Date formula exemplar is visible, so the daily increment rule must be inferred from structure rather than copied.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 4,
+    "reason": "The source spreadsheet appears structurally sound: formulas are coherent, no circular or broken references are evident, and the data pattern is consistent across rows. Headers and layout are mostly meaningful, though the sheet overview/header structure is somewhat nonstandard and the NL mentions broader charge-code columns not visible in the 5-column window."
+  },
+  "D6": {
+    "score": 4,
+    "reason": "The NL request is mostly natural and workplace-like, describing a travel-card reconciliation task and asking for completion of missing Date entries. It is slightly verbose and includes exact cell lists, which feels somewhat benchmark-like, but it remains plausible."
+  },
+  "total": 26,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality task overall: clean masking, correct GT, deterministic formulas, and sufficient visible structural evidence to reconstruct the masked date chain. Minor NL omissions do not block solvability.",
+  "frontier_hardness": {
+    "score": 2,
+    "reason": "The task has a masked depth-2 chain and 34 cells, but the underlying pattern is simple: each date appears on a lodging/tax pair and advances by one day per pair. A frontier model should likely infer this from the visible rows and adjacent category structure.",
+    "fail_reason": "easy",
+    "is_valid_hardness": false
+  },
+  "_prompt_chars": 20073,
+  "_timing_load_workbooks": 0.02,
+  "_timing_context": 0.0,
+  "_timing_api": 129.24,
+  "local_difficulty": {
+    "difficulty_score": 35.8,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 34,
+    "is_cross_sheet": false,
+    "unique_patterns": 2,
+    "avg_complexity": 3,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.19
+  },
+  "task_id": "single_sheet__dag_5b62283dc61f",
+  "elapsed": 129.3,
+  "publish_decision": "YES",
+  "release_tier": "SILVER",
+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08909/target_contract.json

@@ -0,0 +1,81 @@
+{
+  "task_id": "single_sheet__dag_5b62283dc61f",
+  "category": "single_sheet",
+  "depth": 2,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "Sheet1",
+        "column": "A",
+        "column_header": "Date",
+        "cell_range": "A6, A8, A10, A12, A14, A16, A18, A20, A22, A24, A26, A28, A30, A32, A34, A36, A38",
+        "cell_count": 17,
+        "rows": [
+          6,
+          8,
+          10,
+          12,
+          14,
+          16,
+          18,
+          20,
+          22,
+          24,
+          26,
+          28,
+          30,
+          32,
+          34,
+          36,
+          38
+        ],
+        "first_row_label": "[Person_3]",
+        "last_row_label": "[Person_3]"
+      }
+    ],
+    "cell_count": 17,
+    "formula_families": []
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Sheet1",
+          "column": "A",
+          "column_header": "Date",
+          "cell_range": "A5, A7, A9, A11, A13, A15, A17, A19, A21, A23, A25, A27, A29, A31, A33, A35, A37",
+          "cell_count": 17,
+          "rows": [
+            5,
+            7,
+            9,
+            11,
+            13,
+            15,
+            17,
+            19,
+            21,
+            23,
+            25,
+            27,
+            29,
+            31,
+            33,
+            35,
+            37
+          ],
+          "first_row_label": "[Person_3]",
+          "last_row_label": "[Person_3]"
+        }
+      ],
+      "cell_count": 17
+    }
+  ],
+  "total_prerequisite_cells": 17,
+  "total_masked_cells": 34,
+  "ratio_total_vs_final": 2.0,
+  "sheets_involved": [
+    "Sheet1"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08909/task_meta.json

@@ -0,0 +1,53 @@
+{
+  "fcb_id": "FCB-08909",
+  "task_id": "single_sheet__dag_5b62283dc61f",
+  "tier": "T4_STANDARD",
+  "category": "single_sheet",
+  "depth": 2,
+  "total_masked": 34,
+  "is_cross_sheet": false,
+  "prompt_en": "The Travel Card Reconciliation sheet is organized around travel-card lines with Date, Who?, What, Category, Column1, and charge-code columns such as Com Carrier - 2110, Fuel Cost - 2140, Laundry - 2140, and Lodging - 2120. Please fill in the missing entries in the Date column on Sheet1 for the blank rows at A6, A8, A10, A12, A14, A16, A18, A20, A22, A24, A26, A28, A30, A32, A34, A36, and A38. The date entries should be in place first because the other travel-card details on those rows are tied to the dated reconciliation lines. When you’re done, save the completed file as an .xlsx workbook.",
+  "prompt_cn": "“Travel Card Reconciliation”这张表是按差旅卡记录整理的，包含 Date、Who?、What、Category、Column1，以及 Com Carrier - 2110、Fuel Cost - 2140、Laundry - 2140、Lodging - 2120 等费用代码列。请在 Sheet1 的 Date 列中补齐缺失的日期，位置是 A6、A8、A10、A12、A14、A16、A18、A20、A22、A24、A26、A28、A30、A32、A34、A36 和 A38。这些日期需要先填好，因为同一行的其他差旅卡明细都对应到这些带日期的 reconciliation 记录。完成后，请将文件保存为 .xlsx 工作簿。",
+  "qc": {
+    "total": 26,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 4,
+    "D4": 4,
+    "D5": 4,
+    "D6": 4,
+    "frontier_hardness": 2,
+    "local_difficulty": 35.8
+  },
+  "source_file_id": "680227d1590863695-my-sumifs-isnt-working-travel-card-reconciliation",
+  "inferred_domain": "engineering",
+  "domain_confidence": 0.25,
+  "sheet_profiles": [
+    {
+      "name": "Sheet1",
+      "used_range": "A1:E40",
+      "row_count": 40,
+      "col_count": 5,
+      "has_header": false,
+      "title_hint": "Sheet1",
+      "header_info": null
+    },
+    {
+      "name": "Sheet2",
+      "used_range": "A1:B32",
+      "row_count": 32,
+      "col_count": 2,
+      "has_header": true,
+      "title_hint": "Sheet2",
+      "header_info": {
+        "sheet": "Sheet2",
+        "header_row": 1,
+        "headers": {
+          "A": "Category",
+          "B": "Column1"
+        }
+      }
+    }
+  ]
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08952/mask_last.xlsx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e7133d4f21ab67686c4e839dc19471a5ee5145e9dd9f2e809d1ad1f43e33af97
+size 148176

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08952/src.xlsx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:36e3ceff520072925dae1adeb95f4024fceb413dddd4f2440413f2ea43069ce0
+size 197675

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09430/audit.json

@@ -0,0 +1,418 @@
+{
+  "gate": {
+    "pre_nl_gate": {
+      "gate_label": "GATE_PASS",
+      "gate_pass": true,
+      "hard_fails": 0,
+      "warns": 0,
+      "checks": [
+        {
+          "check": "final_target_gate",
+          "pass": true,
+          "detail": "final_target has 5 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=6353B, src=10746B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=3.0 (total=15, final=5)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "15 unique values across 15 cells"
+        },
+        {
+          "check": "tail_artifact",
+          "pass": true,
+          "detail": "0 bad values"
+        },
+        {
+          "check": "unrecoverable_leaf",
+          "pass": true,
+          "detail": "clean",
+          "hidden_const_cells": []
+        },
+        {
+          "check": "adjacent_column_leak",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "header_name_accuracy",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "duplicate_lookup_tie_break",
+          "pass": true,
+          "detail": "no lookup formulas"
+        },
+        {
+          "check": "src_chain_integrity",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean",
+          "sub_checks": {
+            "error_cells": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "external_refs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "volatile_funcs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "missing_sheets": {
+              "pass": true,
+              "count": 0,
+              "sheets": []
+            },
+            "circular_refs": {
+              "pass": true,
+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
+        }
+      ]
+    },
+    "post_nl_validate": {
+      "validate_label": "CLEAN",
+      "validate_pass": true,
+      "hard_fails": 0,
+      "soft_warns": 0,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": true,
+          "detail": "contract=3, prompt=1, missing=0",
+          "missing_ranges": [],
+          "severity": "OK"
+        },
+        {
+          "check": "cell_count_match",
+          "pass": true,
+          "detail": "no explicit total found; skipping (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "step_count_match",
+          "pass": true,
+          "detail": "contract=1, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": true,
+          "detail": "contract=['Sheet1'], missing=[]",
+          "severity": "OK"
+        },
+        {
+          "check": "no_formula_leak",
+          "pass": true,
+          "detail": "0 formula leaks",
+          "severity": "OK"
+        },
+        {
+          "check": "no_value_leak",
+          "pass": true,
+          "detail": "0 value leaks out of 5 GT cells",
+          "severity": "OK"
+        },
+        {
+          "check": "final_target_first",
+          "pass": true,
+          "detail": "no explicit final target marker (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "output_format",
+          "pass": true,
+          "detail": "output format found",
+          "severity": "OK"
+        },
+        {
+          "check": "header_in_prompt",
+          "pass": true,
+          "detail": "no column headers found in prompt",
+          "severity": "OK"
+        },
+        {
+          "check": "hint_specificity",
+          "pass": true,
+          "detail": "clean",
+          "severity": "OK"
+        },
+        {
+          "check": "evidence_scope",
+          "pass": true,
+          "detail": "no cross-sheet refs in GT",
+          "severity": "OK"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 3 col groups"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": true,
+          "detail": "GT funcs: []",
+          "severity": "OK"
+        },
+        {
+          "check": "unmatched_default_rule",
+          "pass": true,
+          "detail": "no default-rule phrase found in NL",
+          "severity": "OK"
+        },
+        {
+          "check": "volatile_function_freeze",
+          "pass": true,
+          "detail": "volatile_cells=0",
+          "severity": "OK"
+        },
+        {
+          "check": "direct_answer_leakage",
+          "pass": true,
+          "detail": "0 leaks out of 15 GT cells (0%)",
+          "severity": "OK"
+        }
+      ]
+    },
+    "pre_nl_local": {
+      "local_total": 58,
+      "local_label": "PENDING_NL",
+      "hard_fail_flags": [],
+      "warnings": [
+        "nl_missing"
+      ],
+      "local_subscores": {
+        "family_clean": 25,
+        "target_integrity": 15,
+        "taxonomy": 10,
+        "semantic_signal": 8,
+        "nl_schema": 0,
+        "target_alignment": 0,
+        "business_specificity": 0,
+        "nl_risk": 0
+      }
+    }
+  },
+  "verify": {
+    "uniqueness": {
+      "total_gt_cells": 15,
+      "total_non_none": 15,
+      "block_reasons": [],
+      "warnings": [],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "float": 15
+          },
+          "mixed": false
+        },
+        "empty_gt": {
+          "count": 0,
+          "details": []
+        }
+      }
+    },
+    "src_chain": {
+      "hard_block": false,
+      "block_reasons": [],
+      "checks": {
+        "error_cells": {
+          "pass": true,
+          "count": 0,
+          "cells": []
+        },
+        "external_refs": {
+          "pass": true,
+          "count": 0,
+          "cells": []
+        },
+        "volatile_funcs": {
+          "pass": true,
+          "count": 0,
+          "cells": []
+        },
+        "missing_sheets": {
+          "pass": true,
+          "count": 0,
+          "sheets": []
+        },
+        "circular_refs": {
+          "pass": true,
+          "cycle_cells": []
+        }
+      },
+      "required_chain_scope": {
+        "external_ref_in_required_chain": 0,
+        "external_ref_in_other": 0,
+        "error_cells_in_required_chain": 0,
+        "error_cells_in_other": 0,
+        "required_chain_cells": 15
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 15,
+      "total_masked": 15,
+      "total_visible": 36,
+      "depth": 2,
+      "block_reasons": [],
+      "warnings": [],
+      "checks": {
+        "broken_chains": {
+          "count": 0,
+          "checked": 15,
+          "details": []
+        },
+        "orphan_masks": {
+          "count": 0,
+          "details": []
+        },
+        "self_contained": {
+          "missing_sheets": []
+        }
+      }
+    },
+    "exemplar": {
+      "soft_block": true,
+      "block_reasons": [
+        "zero_exemplar:3_patterns"
+      ],
+      "checks": {
+        "pattern_coverage": {
+          "pass": false,
+          "total_gt_patterns": 3,
+          "total_src_patterns": 4,
+          "zero_exemplar_count": 3,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": false,
+          "patterns": [
+            {
+              "pattern": "=REF*SALESMARGIN",
+              "total_in_src": 5,
+              "sample_formula": "=D5*SalesMargin"
+            },
+            {
+              "pattern": "=REF+REF",
+              "total_in_src": 5,
+              "sample_formula": "=D5+G5"
+            },
+            {
+              "pattern": "=REF*EXCHANGERATE",
+              "total_in_src": 5,
+              "sample_formula": "=C5*ExchangeRate"
+            }
+          ]
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "arithmetic": {
+            "total_masked": 15,
+            "visible_exemplars": 0
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.0,
+      "flags": []
+    },
+    "release_audit": {
+      "surface_single_sheet": true,
+      "surface_sheets": [
+        "Sheet1"
+      ],
+      "cross_sheet_actual": false,
+      "cross_sheet_ref_count": 0,
+      "referenced_sheets": [],
+      "target_shape": "summary_block",
+      "layer_sizes": [
+        5,
+        10
+      ],
+      "mask_last_total_cells": 15,
+      "layer_growth_ratios": [
+        2.0
+      ],
+      "pattern_dominance_ratio": 0.3333,
+      "visible_clone_regions": 0,
+      "nearby_visible_clone_regions": 0,
+      "nearby_visible_clone_rows": 0,
+      "nearby_visible_clone_ratio": 0.0,
+      "promptability_score": 1.0,
+      "release_reasons": [],
+      "release_verdict": "KEEP"
+    }
+  },
+  "difficulty": {
+    "task_id": "single_sheet__dag_b4df27c9d77c",
+    "difficulty_score": 38.1,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 15,
+    "is_cross_sheet": false,
+    "unique_patterns": 3,
+    "avg_complexity": 4.0,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.167,
+    "score_breakdown": {
+      "depth": 7,
+      "cross_sheet": 0,
+      "cell_count": 7.8,
+      "patterns": 9,
+      "complexity": 6.0,
+      "cross_refs": 0,
+      "vis_penalty": 8.3
+    }
+  }
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09430/ground_truth_full.json

@@ -0,0 +1,137 @@
+[
+  {
+    "sheet": "Sheet1",
+    "col": "F",
+    "row": 5,
+    "formula": "=D5+G5",
+    "cached_value": 27.439999999999998,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "F",
+    "row": 6,
+    "formula": "=D6+G6",
+    "cached_value": 31.36,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "F",
+    "row": 7,
+    "formula": "=D7+G7",
+    "cached_value": 34.3,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "F",
+    "row": 8,
+    "formula": "=D8+G8",
+    "cached_value": 28.419999999999995,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "F",
+    "row": 9,
+    "formula": "=D9+G9",
+    "cached_value": 30.38,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "D",
+    "row": 5,
+    "formula": "=C5*ExchangeRate",
+    "cached_value": 19.599999999999998,
+    "pattern_id": "pf_0000",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "D",
+    "row": 6,
+    "formula": "=C6*ExchangeRate",
+    "cached_value": 22.4,
+    "pattern_id": "pf_0000",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "D",
+    "row": 7,
+    "formula": "=C7*ExchangeRate",
+    "cached_value": 24.5,
+    "pattern_id": "pf_0000",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "D",
+    "row": 8,
+    "formula": "=C8*ExchangeRate",
+    "cached_value": 20.299999999999997,
+    "pattern_id": "pf_0000",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "D",
+    "row": 9,
+    "formula": "=C9*ExchangeRate",
+    "cached_value": 21.7,
+    "pattern_id": "pf_0000",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "G",
+    "row": 5,
+    "formula": "=D5*SalesMargin",
+    "cached_value": 7.84,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "G",
+    "row": 6,
+    "formula": "=D6*SalesMargin",
+    "cached_value": 8.959999999999999,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "G",
+    "row": 7,
+    "formula": "=D7*SalesMargin",
+    "cached_value": 9.8,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "G",
+    "row": 8,
+    "formula": "=D8*SalesMargin",
+    "cached_value": 8.12,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "G",
+    "row": 9,
+    "formula": "=D9*SalesMargin",
+    "cached_value": 8.68,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  }
+]

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09430/ground_truth_target.json

@@ -0,0 +1,42 @@
+[
+  {
+    "sheet": "Sheet1",
+    "col": "F",
+    "row": 5,
+    "formula": "=D5+G5",
+    "cached_value": 27.439999999999998,
+    "pattern_id": "pf_0002"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "F",
+    "row": 6,
+    "formula": "=D6+G6",
+    "cached_value": 31.36,
+    "pattern_id": "pf_0002"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "F",
+    "row": 7,
+    "formula": "=D7+G7",
+    "cached_value": 34.3,
+    "pattern_id": "pf_0002"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "F",
+    "row": 8,
+    "formula": "=D8+G8",
+    "cached_value": 28.419999999999995,
+    "pattern_id": "pf_0002"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "F",
+    "row": 9,
+    "formula": "=D9+G9",
+    "cached_value": 30.38,
+    "pattern_id": "pf_0002"
+  }
+]

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09430/layers.json

@@ -0,0 +1,94 @@
+{
+  "dag_id": "dag_b4df27c9d77c",
+  "file_id": "722232d1615127071-increasing-decrease-a-cells-value-by-a-specific-rate-based-on-another-cells-value-attach",
+  "category": "single_sheet",
+  "surface_category": "single_sheet",
+  "effective_category": "single_sheet",
+  "depth": 2,
+  "quality": {
+    "chain_error_cells": 0,
+    "chain_external_cells": 0,
+    "is_clean": true
+  },
+  "layers": [
+    {
+      "layer_index": 1,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00002"
+          ],
+          "sheet": "Sheet1",
+          "col": "F",
+          "rows": [
+            5,
+            6,
+            7,
+            8,
+            9
+          ],
+          "row_ranges": "5-9",
+          "row_count": 5,
+          "pattern_id": "pf_0002",
+          "normalized_pattern": "=[C-2,R]+[C+1,R]",
+          "sample_formula": "=D5+G5"
+        }
+      ],
+      "new_eval_cells": 5,
+      "total_masked_cells": 5
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00000"
+          ],
+          "sheet": "Sheet1",
+          "col": "D",
+          "rows": [
+            5,
+            6,
+            7,
+            8,
+            9
+          ],
+          "row_ranges": "5-9",
+          "row_count": 5,
+          "pattern_id": "pf_0000",
+          "normalized_pattern": "=[C-1,R]*EXCHANGERATE",
+          "sample_formula": "=C5*ExchangeRate"
+        },
+        {
+          "region_ids": [
+            "rg_00003"
+          ],
+          "sheet": "Sheet1",
+          "col": "G",
+          "rows": [
+            5,
+            6,
+            7,
+            8,
+            9
+          ],
+          "row_ranges": "5-9",
+          "row_count": 5,
+          "pattern_id": "pf_0003",
+          "normalized_pattern": "=[C-3,R]*SALESMARGIN",
+          "sample_formula": "=D5*SalesMargin"
+        }
+      ],
+      "new_eval_cells": 10,
+      "total_masked_cells": 15
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00002",
+    "sheet": "Sheet1",
+    "col": "F",
+    "pattern_id": "pf_0002",
+    "row_count": 5,
+    "family_size": 5
+  }
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09430/nl_task.json

@@ -0,0 +1,26 @@
+{
+  "task_id": "single_sheet__dag_b4df27c9d77c",
+  "prompt_en": "Sheet1 is a cheese finance table with columns for Cheese Type, Cost Per Kilo in Euros (€), Cost Per Kilo in Pounds (£), Average monthly sales, Sales Price, and Sales Margin/Profit. For the quarterly budget review / fiscal year close-out, please fill in the missing entries in the Sales Price column for the cheese rows shown in F5:F9. The related cost and average monthly sales information needs to be in place so the Sales Price and Sales Margin/Profit columns make sense together. Please save the completed workbook as an .xlsx file.",
+  "prompt_cn": "Sheet1 是一张奶酪财务表，包含 Cheese Type、Cost Per Kilo in Euros (€)、Cost Per Kilo in Pounds (£)、Average monthly sales、Sales Price 和 Sales Margin/Profit 等列。为了季度预算审查/财政年度收尾，请补全 Sales Price 列中奶酪行对应的缺失内容，位置在 F5:F9。相关的成本和月均销售数据需要齐全，这样 Sales Price 和 Sales Margin/Profit 两列才能相互对应。请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt is minimal and business-focused, references only visible sheet and column labels, identifies the target Sales Price range F5:F9, and avoids formulas or operational hints. It naturally notes that related fields feed into the pricing/profit context without explaining calculation steps.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 3,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
+      "operation_words": 0,
+      "cell_range_density": 3,
+      "step_by_step": 0,
+      "column_operation_mapping": 0,
+      "formula_pattern_hints": 0
+    },
+    "operation_words_found": [],
+    "cell_ranges_found": 1
+  },
+  "version": "v7",
+  "model": "gpt-5.5",
+  "elapsed": 7.2,
+  "attempt": 1
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09430/release_qc.json

@@ -0,0 +1,57 @@
+{
+  "binary": true,
+  "binary_reason": "CORRECT: The mask is clean, formulas are valid, and the visible workbook context provides enough evidence to reconstruct the masked chain.",
+  "D1": {
+    "score": 5,
+    "reason": "All 15 contract cells are real cells within the sheet range and are truly masked. There is no extra masking outside the contract and no contract cells left unmasked. The prerequisite masking is consistent with the chain-masking design. No visible same-column formula exemplar makes the answer trivially copyable; the solver must infer the formulas from headers, visible constants, and notes."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The final target formulas F5:F9 are consistent with the source workbook: each Sales Price is computed as Cost Per Kilo in Pounds plus Sales Margin/Profit. Cached values match the formulas, e.g. D5=28*0.7=19.6, G5=19.6*0.4=7.84, F5=27.44. The formulas are deterministic and row-consistent."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL description clearly identifies the target range F5:F9 and the business context. It also hints that related cost and margin information must make sense together. However, it is slightly less explicit about the need to fill the masked prerequisite columns D and G, and it mentions average monthly sales even though that column is not part of the masked dependency for Sales Price."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "Using only mask_last.xlsx and the NL prompt, the task is solvable. The headers identify Euros cost, Pounds cost, Sales Price, and Sales Margin/Profit. The exchange-rate label and value are visible in J4:K4, and the sales-margin label and value are visible in J5:K5. The visible notes state that Sales Price equals Cost per Kilo * 1.4 or Cost per Kilo + Sales Margin, giving strong evidence for F and G once D is inferred. The only minor issue is the note saying '0.4% of Cost', which is inconsistent with the visible 0.4 value and the 1.4 multiplier, but the surrounding evidence strongly supports 40% rather than 0.4%.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 4,
+    "reason": "The source spreadsheet is generally sound: formulas are coherent, deterministic, and use meaningful headers and visible parameter cells. There are no apparent circular references or broken formulas. Minor data-quality concerns include the confusing note that says Sales Margin is '0.4% of Cost' even though the workbook uses 0.4 as a 40% margin, and one cheese type is anonymized as [Person_1], but these do not break the spreadsheet logic."
+  },
+  "D6": {
+    "score": 4,
+    "reason": "The NL prompt sounds like a plausible workplace request about a quarterly budget review or fiscal year close-out. It is mostly natural and avoids benchmark jargon, though the phrase 'for the cheese rows shown in F5:F9' and the broad reference to related information are somewhat spreadsheet-task-like."
+  },
+  "total": 26,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality task overall. The chain is masked as intended, the source formulas are correct, and the visible workbook contains enough root evidence to reconstruct the dependency chain. Minor wording and note ambiguity do not prevent solvability.",
+  "frontier_hardness": {
+    "score": 2,
+    "reason": "This is a short single-sheet depth-2 chain with visible constants and explicit worksheet notes describing the key Sales Price relationship. A frontier model should likely infer the exchange-rate conversion, margin calculation, and final price calculation successfully.",
+    "fail_reason": "easy",
+    "is_valid_hardness": false
+  },
+  "_prompt_chars": 16885,
+  "local_difficulty": {
+    "difficulty_score": 38.1,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 15,
+    "is_cross_sheet": false,
+    "unique_patterns": 3,
+    "avg_complexity": 4,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.167
+  },
+  "_timing_context": 145.0,
+  "_timing_api": 17.5,
+  "task_id": "single_sheet__dag_b4df27c9d77c",
+  "elapsed": 162.5,
+  "publish_decision": "YES",
+  "release_tier": "SILVER",
+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09430/target_contract.json

@@ -0,0 +1,75 @@
+{
+  "task_id": "single_sheet__dag_b4df27c9d77c",
+  "category": "single_sheet",
+  "depth": 2,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "Sheet1",
+        "column": "F",
+        "column_header": "Sales Price",
+        "cell_range": "F5:F9",
+        "cell_count": 5,
+        "rows": [
+          5,
+          6,
+          7,
+          8,
+          9
+        ],
+        "first_row_label": "[Person_1]",
+        "last_row_label": "Gouda"
+      }
+    ],
+    "cell_count": 5,
+    "formula_families": [
+      "arithmetic"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Sheet1",
+          "column": "D",
+          "column_header": "Cost Per Kilo in Pounds (£)",
+          "cell_range": "D5:D9",
+          "cell_count": 5,
+          "rows": [
+            5,
+            6,
+            7,
+            8,
+            9
+          ],
+          "first_row_label": "[Person_1]",
+          "last_row_label": "Gouda"
+        },
+        {
+          "sheet": "Sheet1",
+          "column": "G",
+          "column_header": "Sales Margin/Profit",
+          "cell_range": "G5:G9",
+          "cell_count": 5,
+          "rows": [
+            5,
+            6,
+            7,
+            8,
+            9
+          ],
+          "first_row_label": "[Person_1]",
+          "last_row_label": "Gouda"
+        }
+      ],
+      "cell_count": 10
+    }
+  ],
+  "total_prerequisite_cells": 10,
+  "total_masked_cells": 15,
+  "ratio_total_vs_final": 3.0,
+  "sheets_involved": [
+    "Sheet1"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09560/audit.json

@@ -0,0 +1,435 @@
+{
+  "gate": {
+    "pre_nl_gate": {
+      "gate_label": "GATE_PASS",
+      "gate_pass": true,
+      "hard_fails": 0,
+      "warns": 0,
+      "checks": [
+        {
+          "check": "final_target_gate",
+          "pass": true,
+          "detail": "final_target has 17 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=21170B, src=27190B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=2.0 (total=34, final=17)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "7 unique values across 34 cells [WARN: low_discrimination layer_1_ground_truth: 14/17=82%; layer_2_ground_truth: 14/17=82%]"
+        },
+        {
+          "check": "tail_artifact",
+          "pass": true,
+          "detail": "0 bad values"
+        },
+        {
+          "check": "unrecoverable_leaf",
+          "pass": true,
+          "detail": "clean",
+          "hidden_const_cells": []
+        },
+        {
+          "check": "adjacent_column_leak",
+          "pass": true,
+          "detail": "leaked: Sheet1!O→P(14/17)"
+        },
+        {
+          "check": "header_name_accuracy",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "duplicate_lookup_tie_break",
+          "pass": true,
+          "detail": "no lookup formulas"
+        },
+        {
+          "check": "src_chain_integrity",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean",
+          "sub_checks": {
+            "error_cells": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "external_refs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "volatile_funcs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "missing_sheets": {
+              "pass": true,
+              "count": 0,
+              "sheets": []
+            },
+            "circular_refs": {
+              "pass": true,
+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
+        }
+      ]
+    },
+    "post_nl_validate": {
+      "validate_label": "SOFT_WARN",
+      "validate_pass": true,
+      "hard_fails": 0,
+      "soft_warns": 1,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": false,
+          "detail": "contract=2, prompt=0, missing=1",
+          "missing_ranges": [
+            "M2:M18"
+          ],
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "cell_count_match",
+          "pass": true,
+          "detail": "no explicit total found; skipping (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "step_count_match",
+          "pass": true,
+          "detail": "contract=1, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": true,
+          "detail": "contract=['Sheet1'], missing=[]",
+          "severity": "OK"
+        },
+        {
+          "check": "no_formula_leak",
+          "pass": true,
+          "detail": "0 formula leaks",
+          "severity": "OK"
+        },
+        {
+          "check": "no_value_leak",
+          "pass": true,
+          "detail": "0 value leaks out of 17 GT cells",
+          "severity": "OK"
+        },
+        {
+          "check": "final_target_first",
+          "pass": true,
+          "detail": "no explicit final target marker (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "output_format",
+          "pass": true,
+          "detail": "output format found",
+          "severity": "OK"
+        },
+        {
+          "check": "header_in_prompt",
+          "pass": true,
+          "detail": "no column headers found in prompt",
+          "severity": "OK"
+        },
+        {
+          "check": "hint_specificity",
+          "pass": true,
+          "detail": "clean",
+          "severity": "OK"
+        },
+        {
+          "check": "evidence_scope",
+          "pass": true,
+          "detail": "no cross-sheet refs in GT",
+          "severity": "OK"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 2 col groups"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": true,
+          "detail": "GT funcs: ['IF', 'SUMPRODUCT']",
+          "severity": "OK"
+        },
+        {
+          "check": "unmatched_default_rule",
+          "pass": true,
+          "detail": "no default-rule phrase found in NL",
+          "severity": "OK"
+        },
+        {
+          "check": "volatile_function_freeze",
+          "pass": true,
+          "detail": "volatile_cells=0",
+          "severity": "OK"
+        },
+        {
+          "check": "direct_answer_leakage",
+          "pass": true,
+          "detail": "0 leaks out of 34 GT cells (0%)",
+          "severity": "OK"
+        }
+      ]
+    },
+    "pre_nl_local": {
+      "local_total": 58,
+      "local_label": "PENDING_NL",
+      "hard_fail_flags": [],
+      "warnings": [
+        "nl_missing"
+      ],
+      "local_subscores": {
+        "family_clean": 25,
+        "target_integrity": 15,
+        "taxonomy": 10,
+        "semantic_signal": 8,
+        "nl_schema": 0,
+        "target_alignment": 0,
+        "business_specificity": 0,
+        "nl_risk": 0
+      }
+    }
+  },
+  "verify": {
+    "uniqueness": {
+      "total_gt_cells": 34,
+      "total_non_none": 34,
+      "block_reasons": [],
+      "warnings": [
+        "mixed_gt_types:{'int': 20, 'str': 14}"
+      ],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "int": 20,
+            "str": 14
+          },
+          "mixed": true
+        },
+        "empty_gt": {
+          "count": 0,
+          "details": []
+        }
+      }
+    },
+    "src_chain": {
+      "hard_block": false,
+      "block_reasons": [],
+      "checks": {
+        "error_cells": {
+          "pass": true,
+          "count": 0,
+          "cells": []
+        },
+        "external_refs": {
+          "pass": true,
+          "count": 0,
+          "cells": []
+        },
+        "volatile_funcs": {
+          "pass": true,
+          "count": 0,
+          "cells": []
+        },
+        "missing_sheets": {
+          "pass": true,
+          "count": 0,
+          "sheets": []
+        },
+        "circular_refs": {
+          "pass": true,
+          "cycle_cells": []
+        }
+      },
+      "required_chain_scope": {
+        "external_ref_in_required_chain": 0,
+        "external_ref_in_other": 0,
+        "error_cells_in_required_chain": 0,
+        "error_cells_in_other": 0,
+        "required_chain_cells": 34
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 34,
+      "total_masked": 34,
+      "total_visible": 1339,
+      "depth": 2,
+      "block_reasons": [],
+      "warnings": [
+        "broken_chains:2/34"
+      ],
+      "checks": {
+        "broken_chains": {
+          "count": 2,
+          "checked": 34,
+          "details": [
+            {
+              "cell": "Sheet1!P18",
+              "missing_dep": "Sheet1!L19",
+              "formula": "=IF($M18=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L18),--($B$2:$B$171<$L19),--($G$2:$G"
+            },
+            {
+              "cell": "Sheet1!M18",
+              "missing_dep": "Sheet1!L19",
+              "formula": "=SUMPRODUCT(--($B$2:$B$171>=$L18),--($B$2:$B$171<$L19))"
+            }
+          ]
+        },
+        "orphan_masks": {
+          "count": 0,
+          "details": []
+        },
+        "self_contained": {
+          "missing_sheets": []
+        }
+      }
+    },
+    "exemplar": {
+      "soft_block": true,
+      "block_reasons": [
+        "zero_exemplar:2_patterns"
+      ],
+      "checks": {
+        "pattern_coverage": {
+          "pass": false,
+          "total_gt_patterns": 2,
+          "total_src_patterns": 11,
+          "zero_exemplar_count": 2,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": false,
+          "patterns": [
+            {
+              "pattern": "=SUMPRODUCT(--(RANGE>=REF),--(RANGE<REF))",
+              "total_in_src": 17,
+              "sample_formula": "=SUMPRODUCT(--($B$2:$B$171>=$L2),--($B$2:$B$171<$L3))"
+            },
+            {
+              "pattern": "=IF(REF=0,\"--\",SUMPRODUCT(--(RANGE>=REF),--(RANGE<REF),--(RA",
+              "total_in_src": 17,
+              "sample_formula": "=IF($M2=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L2),--($B$2:$B$171<$L3),--($G$2:$G$17"
+            }
+          ]
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "IF": {
+            "total_masked": 17,
+            "visible_exemplars": 102
+          },
+          "SUMPRODUCT": {
+            "total_masked": 17,
+            "visible_exemplars": 0
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.0,
+      "flags": []
+    },
+    "release_audit": {
+      "surface_single_sheet": true,
+      "surface_sheets": [
+        "Sheet1"
+      ],
+      "cross_sheet_actual": false,
+      "cross_sheet_ref_count": 0,
+      "referenced_sheets": [],
+      "target_shape": "single_column_series",
+      "layer_sizes": [
+        17,
+        17
+      ],
+      "mask_last_total_cells": 34,
+      "layer_growth_ratios": [
+        1.0
+      ],
+      "pattern_dominance_ratio": 0.5,
+      "visible_clone_regions": 0,
+      "nearby_visible_clone_regions": 0,
+      "nearby_visible_clone_rows": 0,
+      "nearby_visible_clone_ratio": 0.0,
+      "promptability_score": 1.0,
+      "release_reasons": [],
+      "release_verdict": "KEEP"
+    }
+  },
+  "difficulty": {
+    "task_id": "single_sheet__dag_cb4ce5c536df",
+    "difficulty_score": 47.6,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 34,
+    "is_cross_sheet": false,
+    "unique_patterns": 2,
+    "avg_complexity": 19.0,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.056,
+    "score_breakdown": {
+      "depth": 7,
+      "cross_sheet": 0,
+      "cell_count": 10.2,
+      "patterns": 6,
+      "complexity": 15,
+      "cross_refs": 0,
+      "vis_penalty": 9.4
+    }
+  }
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09560/ground_truth_full.json

@@ -0,0 +1,308 @@
+[
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 2,
+    "formula": "=IF($M2=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L2),--($B$2:$B$171<$L3),--($G$2:$G$171=\"lose\")))",
+    "cached_value": 14,
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 3,
+    "formula": "=IF($M3=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L3),--($B$2:$B$171<$L4),--($G$2:$G$171=\"lose\")))",
+    "cached_value": 54,
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 4,
+    "formula": "=IF($M4=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L4),--($B$2:$B$171<$L5),--($G$2:$G$171=\"lose\")))",
+    "cached_value": 14,
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 5,
+    "formula": "=IF($M5=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L5),--($B$2:$B$171<$L6),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 6,
+    "formula": "=IF($M6=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L6),--($B$2:$B$171<$L7),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 7,
+    "formula": "=IF($M7=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L7),--($B$2:$B$171<$L8),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 8,
+    "formula": "=IF($M8=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L8),--($B$2:$B$171<$L9),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 9,
+    "formula": "=IF($M9=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L9),--($B$2:$B$171<$L10),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 10,
+    "formula": "=IF($M10=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L10),--($B$2:$B$171<$L11),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 11,
+    "formula": "=IF($M11=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L11),--($B$2:$B$171<$L12),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 12,
+    "formula": "=IF($M12=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L12),--($B$2:$B$171<$L13),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 13,
+    "formula": "=IF($M13=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L13),--($B$2:$B$171<$L14),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 14,
+    "formula": "=IF($M14=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L14),--($B$2:$B$171<$L15),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 15,
+    "formula": "=IF($M15=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L15),--($B$2:$B$171<$L16),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 16,
+    "formula": "=IF($M16=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L16),--($B$2:$B$171<$L17),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 17,
+    "formula": "=IF($M17=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L17),--($B$2:$B$171<$L18),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 18,
+    "formula": "=IF($M18=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L18),--($B$2:$B$171<$L19),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "M",
+    "row": 2,
+    "formula": "=SUMPRODUCT(--($B$2:$B$171>=$L2),--($B$2:$B$171<$L3))",
+    "cached_value": 34,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "M",
+    "row": 3,
+    "formula": "=SUMPRODUCT(--($B$2:$B$171>=$L3),--($B$2:$B$171<$L4))",
+    "cached_value": 100,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "M",
+    "row": 4,
+    "formula": "=SUMPRODUCT(--($B$2:$B$171>=$L4),--($B$2:$B$171<$L5))",
+    "cached_value": 36,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "M",
+    "row": 5,
+    "formula": "=SUMPRODUCT(--($B$2:$B$171>=$L5),--($B$2:$B$171<$L6))",
+    "cached_value": 0,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "M",
+    "row": 6,
+    "formula": "=SUMPRODUCT(--($B$2:$B$171>=$L6),--($B$2:$B$171<$L7))",
+    "cached_value": 0,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "M",
+    "row": 7,
+    "formula": "=SUMPRODUCT(--($B$2:$B$171>=$L7),--($B$2:$B$171<$L8))",
+    "cached_value": 0,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "M",
+    "row": 8,
+    "formula": "=SUMPRODUCT(--($B$2:$B$171>=$L8),--($B$2:$B$171<$L9))",
+    "cached_value": 0,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "M",
+    "row": 9,
+    "formula": "=SUMPRODUCT(--($B$2:$B$171>=$L9),--($B$2:$B$171<$L10))",
+    "cached_value": 0,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "M",
+    "row": 10,
+    "formula": "=SUMPRODUCT(--($B$2:$B$171>=$L10),--($B$2:$B$171<$L11))",
+    "cached_value": 0,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "M",
+    "row": 11,
+    "formula": "=SUMPRODUCT(--($B$2:$B$171>=$L11),--($B$2:$B$171<$L12))",
+    "cached_value": 0,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "M",
+    "row": 12,
+    "formula": "=SUMPRODUCT(--($B$2:$B$171>=$L12),--($B$2:$B$171<$L13))",
+    "cached_value": 0,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "M",
+    "row": 13,
+    "formula": "=SUMPRODUCT(--($B$2:$B$171>=$L13),--($B$2:$B$171<$L14))",
+    "cached_value": 0,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "M",
+    "row": 14,
+    "formula": "=SUMPRODUCT(--($B$2:$B$171>=$L14),--($B$2:$B$171<$L15))",
+    "cached_value": 0,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "M",
+    "row": 15,
+    "formula": "=SUMPRODUCT(--($B$2:$B$171>=$L15),--($B$2:$B$171<$L16))",
+    "cached_value": 0,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "M",
+    "row": 16,
+    "formula": "=SUMPRODUCT(--($B$2:$B$171>=$L16),--($B$2:$B$171<$L17))",
+    "cached_value": 0,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "M",
+    "row": 17,
+    "formula": "=SUMPRODUCT(--($B$2:$B$171>=$L17),--($B$2:$B$171<$L18))",
+    "cached_value": 0,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "M",
+    "row": 18,
+    "formula": "=SUMPRODUCT(--($B$2:$B$171>=$L18),--($B$2:$B$171<$L19))",
+    "cached_value": 0,
+    "pattern_id": "pf_0003",
+    "layer": 2
+  }
+]

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09560/ground_truth_target.json

@@ -0,0 +1,138 @@
+[
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 2,
+    "formula": "=IF($M2=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L2),--($B$2:$B$171<$L3),--($G$2:$G$171=\"lose\")))",
+    "cached_value": 14,
+    "pattern_id": "pf_0006"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 3,
+    "formula": "=IF($M3=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L3),--($B$2:$B$171<$L4),--($G$2:$G$171=\"lose\")))",
+    "cached_value": 54,
+    "pattern_id": "pf_0006"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 4,
+    "formula": "=IF($M4=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L4),--($B$2:$B$171<$L5),--($G$2:$G$171=\"lose\")))",
+    "cached_value": 14,
+    "pattern_id": "pf_0006"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 5,
+    "formula": "=IF($M5=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L5),--($B$2:$B$171<$L6),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 6,
+    "formula": "=IF($M6=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L6),--($B$2:$B$171<$L7),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 7,
+    "formula": "=IF($M7=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L7),--($B$2:$B$171<$L8),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 8,
+    "formula": "=IF($M8=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L8),--($B$2:$B$171<$L9),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 9,
+    "formula": "=IF($M9=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L9),--($B$2:$B$171<$L10),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 10,
+    "formula": "=IF($M10=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L10),--($B$2:$B$171<$L11),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 11,
+    "formula": "=IF($M11=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L11),--($B$2:$B$171<$L12),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 12,
+    "formula": "=IF($M12=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L12),--($B$2:$B$171<$L13),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 13,
+    "formula": "=IF($M13=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L13),--($B$2:$B$171<$L14),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 14,
+    "formula": "=IF($M14=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L14),--($B$2:$B$171<$L15),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 15,
+    "formula": "=IF($M15=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L15),--($B$2:$B$171<$L16),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 16,
+    "formula": "=IF($M16=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L16),--($B$2:$B$171<$L17),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 17,
+    "formula": "=IF($M17=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L17),--($B$2:$B$171<$L18),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "P",
+    "row": 18,
+    "formula": "=IF($M18=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L18),--($B$2:$B$171<$L19),--($G$2:$G$171=\"lose\")))",
+    "cached_value": "--",
+    "pattern_id": "pf_0006"
+  }
+]

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09560/layers.json

@@ -0,0 +1,99 @@
+{
+  "dag_id": "dag_cb4ce5c536df",
+  "file_id": "47031d1245941982-how-to-countif-cell-february-2009-betsexample1",
+  "category": "single_sheet",
+  "surface_category": "single_sheet",
+  "effective_category": "single_sheet",
+  "depth": 2,
+  "quality": {
+    "chain_error_cells": 0,
+    "chain_external_cells": 0,
+    "is_clean": true
+  },
+  "layers": [
+    {
+      "layer_index": 1,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00006"
+          ],
+          "sheet": "Sheet1",
+          "col": "P",
+          "rows": [
+            2,
+            3,
+            4,
+            5,
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18
+          ],
+          "row_ranges": "2-18",
+          "row_count": 17,
+          "pattern_id": "pf_0006",
+          "normalized_pattern": "=IF([$M,R]=0,\"--\",SUMPRODUCT(--([$B,$2]:[$B,$171]>=[$L,R]),--([$B,$2]:[$B,$171]<[$L,R+1]),--([$G,$2]:[$G,$171]=\"LOSE\")))",
+          "sample_formula": "=IF($M2=0,\"--\",SUMPRODUCT(--($B$2:$B$171>=$L2),--($B$2:$B$171<$L3),--($G$2:$G$171=\"lose\")))"
+        }
+      ],
+      "new_eval_cells": 17,
+      "total_masked_cells": 17
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00003"
+          ],
+          "sheet": "Sheet1",
+          "col": "M",
+          "rows": [
+            2,
+            3,
+            4,
+            5,
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18
+          ],
+          "row_ranges": "2-18",
+          "row_count": 17,
+          "pattern_id": "pf_0003",
+          "normalized_pattern": "=SUMPRODUCT(--([$B,$2]:[$B,$171]>=[$L,R]),--([$B,$2]:[$B,$171]<[$L,R+1]))",
+          "sample_formula": "=SUMPRODUCT(--($B$2:$B$171>=$L2),--($B$2:$B$171<$L3))"
+        }
+      ],
+      "new_eval_cells": 17,
+      "total_masked_cells": 34
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00006",
+    "sheet": "Sheet1",
+    "col": "P",
+    "pattern_id": "pf_0006",
+    "row_count": 17,
+    "family_size": 17
+  }
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09560/nl_task.json

@@ -0,0 +1,26 @@
+{
+  "task_id": "single_sheet__dag_cb4ce5c536df",
+  "prompt_en": "Sheet1’s academic records update is organized around the Bet, Date, Name, Sport, Odds, and Stake fields, and the Losses column is still unfinished. Please fill in the blank Losses entries in column P, rows 2 through 18. Any related blank fields that those Losses entries rely on should be in place first so the column is consistent with the rest of the sheet. Please save the completed workbook as an .xlsx file.",
+  "prompt_cn": "Sheet1 这份学业记录更新表是围绕 Bet、Date、Name、Sport、Odds 和 Stake 这些字段整理的，目前 Losses 列还没有完成。请填写 P 列第 2 行到第 18 行中空白的 Losses 条目。与这些 Losses 条目相关的其他空白字段需要先补齐，这样该列才能和表格其余内容保持一致。请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt identifies the single sheet, visible headers, the target Losses range P2:P18, and notes prerequisite blanks naturally without giving calculation or formula hints.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 5,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
+      "operation_words": 0,
+      "cell_range_density": 0,
+      "step_by_step": 5,
+      "column_operation_mapping": 0,
+      "formula_pattern_hints": 0
+    },
+    "operation_words_found": [],
+    "cell_ranges_found": 0
+  },
+  "version": "v7",
+  "model": "gpt-5.5",
+  "elapsed": 11.6,
+  "attempt": 1
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09560/release_qc.json

@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "CORRECT: the mask is clean, targets/prerequisites are real cells, GT formulas are consistent, and the task is reconstructible from visible workbook structure despite minor NL awkwardness.",
+  "D1": {
+    "score": 5,
+    "reason": "All 34 contract cells are genuinely masked and within the sheet range; there are no phantom cells, no extra masked cells, and no contract cells left unmasked. The visible adjacent summary columns provide structural clues but do not make the exact P/M formulas trivially same-column copyable with zero reasoning."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The GT formulas are deterministic monthly SUMPRODUCT counts over visible Date/Result data, with Losses depending on Bets to return '--' for zero-bet months. Cached values shown for populated months are consistent with adjacent Wins/Bets logic, and zero-bet months correctly cache as '--'."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The prompt clearly identifies the final target as Losses in column P rows 2 through 18 and asks that related blank dependency fields be filled first. It is slightly awkward and has a misleading phrase about 'academic records' despite the sheet being betting records, but the requested cells are still understandable."
+  },
+  "D4": {
+    "score": 5,
+    "reason": "Using only mask_last.xlsx and the NL prompt, the solver has sufficient evidence: headers identify Month, Bets, Wins, Losses, and betting data fields; the note text in rows 21+ explains monthly bet counting and win counting; adjacent summary columns expose the monthly aggregation structure and the IF zero-bets '--' convention. The missing M cells can be reconstructed as monthly bet counts, and P as monthly counts of Result='lose' gated by M. The L19 blank boundary is visible and consistent with the displayed zero/blank continuation structure.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 4,
+    "reason": "The source workbook appears structurally sound with meaningful headers and consistent formulas across the betting-summary area. It is somewhat messy because explanatory note text appears in the worksheet below the summary while row formulas continue in adjacent columns, but there is no evidence of corruption, circular references, or broken formulas relevant to the task."
+  },
+  "D6": {
+    "score": 3,
+    "reason": "The request mostly sounds like a real spreadsheet completion task, but 'academic records update' is unnatural and mismatched to betting data, and the phrasing is somewhat benchmark-like. Still, it avoids explicit formula jargon and communicates a plausible workbook-editing request."
+  },
+  "total": 26,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality task overall: clean masking, correct GT, and sufficient visible evidence for chain reconstruction. Minor NL naturalness/context mismatch is not severe enough to hold publication.",
+  "frontier_hardness": {
+    "score": 3,
+    "reason": "This is a medium task: it requires reconstructing two formula patterns and recognizing that Losses depends on the masked Bets column and monthly date windows. However, it is single-sheet, shallow depth, and adjacent visible summary columns plus worksheet notes provide strong clues, so a frontier model would likely solve it with careful reasoning.",
+    "fail_reason": "deep_chain",
+    "is_valid_hardness": true
+  },
+  "_prompt_chars": 48584,
+  "_timing_load_workbooks": 0.1,
+  "_timing_context": 0.01,
+  "_timing_api": 33.82,
+  "local_difficulty": {
+    "difficulty_score": 47.6,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 34,
+    "is_cross_sheet": false,
+    "unique_patterns": 2,
+    "avg_complexity": 19,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.056
+  },
+  "task_id": "single_sheet__dag_cb4ce5c536df",
+  "elapsed": 33.9,
+  "publish_decision": "YES",
+  "release_tier": "SILVER",
+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09560/target_contract.json

@@ -0,0 +1,83 @@
+{
+  "task_id": "single_sheet__dag_cb4ce5c536df",
+  "category": "single_sheet",
+  "depth": 2,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "Sheet1",
+        "column": "P",
+        "column_header": "Losses",
+        "cell_range": "P2:P18",
+        "cell_count": 17,
+        "rows": [
+          2,
+          3,
+          4,
+          5,
+          6,
+          7,
+          8,
+          9,
+          10,
+          11,
+          12,
+          13,
+          14,
+          15,
+          16,
+          17,
+          18
+        ],
+        "first_row_label": "A",
+        "last_row_label": "B"
+      }
+    ],
+    "cell_count": 17,
+    "formula_families": [
+      "aggregation"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Sheet1",
+          "column": "M",
+          "column_header": "Bets (1)",
+          "cell_range": "M2:M18",
+          "cell_count": 17,
+          "rows": [
+            2,
+            3,
+            4,
+            5,
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18
+          ],
+          "first_row_label": "A",
+          "last_row_label": "B"
+        }
+      ],
+      "cell_count": 17
+    }
+  ],
+  "total_prerequisite_cells": 17,
+  "total_masked_cells": 34,
+  "ratio_total_vs_final": 2.0,
+  "sheets_involved": [
+    "Sheet1"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09560/task_meta.json

@@ -0,0 +1,62 @@
+{
+  "fcb_id": "FCB-09560",
+  "task_id": "single_sheet__dag_cb4ce5c536df",
+  "tier": "T4_STANDARD",
+  "category": "single_sheet",
+  "depth": 2,
+  "total_masked": 34,
+  "is_cross_sheet": false,
+  "prompt_en": "Sheet1’s academic records update is organized around the Bet, Date, Name, Sport, Odds, and Stake fields, and the Losses column is still unfinished. Please fill in the blank Losses entries in column P, rows 2 through 18. Any related blank fields that those Losses entries rely on should be in place first so the column is consistent with the rest of the sheet. Please save the completed workbook as an .xlsx file.",
+  "prompt_cn": "Sheet1 这份学业记录更新表是围绕 Bet、Date、Name、Sport、Odds 和 Stake 这些字段整理的，目前 Losses 列还没有完成。请填写 P 列第 2 行到第 18 行中空白的 Losses 条目。与这些 Losses 条目相关的其他空白字段需要先补齐，这样该列才能和表格其余内容保持一致。请将完成后的工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 26,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 4,
+    "D4": 5,
+    "D5": 4,
+    "D6": 3,
+    "frontier_hardness": 3,
+    "local_difficulty": 47.6
+  },
+  "source_file_id": "47031d1245941982-how-to-countif-cell-february-2009-betsexample1",
+  "inferred_domain": "education",
+  "domain_confidence": 0.25,
+  "sheet_profiles": [
+    {
+      "name": "Sheet1",
+      "used_range": "A1:U191",
+      "row_count": 191,
+      "col_count": 21,
+      "has_header": true,
+      "title_hint": "Sheet1",
+      "header_info": {
+        "sheet": "Sheet1",
+        "header_row": 1,
+        "headers": {
+          "A": "Bet",
+          "B": "Date",
+          "C": "Name",
+          "D": "Sport",
+          "E": "Odds",
+          "F": "Stake",
+          "G": "Result",
+          "H": "Return",
+          "I": "Profit",
+          "J": "Yield",
+          "L": "Month",
+          "M": "Bets (1)",
+          "N": "Odds (Average) (2)",
+          "O": "Wins (3)",
+          "P": "Losses",
+          "Q": "Voided",
+          "R": "Staked (4)",
+          "S": "Return",
+          "T": "Profit",
+          "U": "Yield"
+        }
+      }
+    }
+  ]
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09618/audit.json

@@ -0,0 +1,412 @@
+{
+  "gate": {
+    "pre_nl_gate": {
+      "gate_label": "GATE_PASS",
+      "gate_pass": true,
+      "hard_fails": 0,
+      "warns": 0,
+      "checks": [
+        {
+          "check": "final_target_gate",
+          "pass": true,
+          "detail": "final_target has 11 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=9758B, src=15596B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=2.0 (total=22, final=11)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "16 unique values across 22 cells"
+        },
+        {
+          "check": "tail_artifact",
+          "pass": true,
+          "detail": "0 bad values"
+        },
+        {
+          "check": "unrecoverable_leaf",
+          "pass": true,
+          "detail": "clean",
+          "hidden_const_cells": []
+        },
+        {
+          "check": "adjacent_column_leak",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "header_name_accuracy",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "duplicate_lookup_tie_break",
+          "pass": true,
+          "detail": "no lookup formulas"
+        },
+        {
+          "check": "src_chain_integrity",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean",
+          "sub_checks": {
+            "error_cells": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "external_refs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "volatile_funcs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "missing_sheets": {
+              "pass": true,
+              "count": 0,
+              "sheets": []
+            },
+            "circular_refs": {
+              "pass": true,
+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
+        }
+      ]
+    },
+    "post_nl_validate": {
+      "validate_label": "CLEAN",
+      "validate_pass": true,
+      "hard_fails": 0,
+      "soft_warns": 0,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": true,
+          "detail": "contract=22, prompt=11, missing=0",
+          "missing_ranges": [],
+          "severity": "OK"
+        },
+        {
+          "check": "cell_count_match",
+          "pass": true,
+          "detail": "no explicit total found; skipping (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "step_count_match",
+          "pass": true,
+          "detail": "contract=1, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": true,
+          "detail": "contract=['Sheet2'], missing=[]",
+          "severity": "OK"
+        },
+        {
+          "check": "no_formula_leak",
+          "pass": true,
+          "detail": "0 formula leaks",
+          "severity": "OK"
+        },
+        {
+          "check": "no_value_leak",
+          "pass": true,
+          "detail": "0 value leaks out of 11 GT cells",
+          "severity": "OK"
+        },
+        {
+          "check": "final_target_first",
+          "pass": true,
+          "detail": "no explicit final target marker (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "output_format",
+          "pass": true,
+          "detail": "output format found",
+          "severity": "OK"
+        },
+        {
+          "check": "header_in_prompt",
+          "pass": true,
+          "detail": "no column headers found in prompt",
+          "severity": "OK"
+        },
+        {
+          "check": "hint_specificity",
+          "pass": true,
+          "detail": "clean",
+          "severity": "OK"
+        },
+        {
+          "check": "evidence_scope",
+          "pass": true,
+          "detail": "no cross-sheet refs in GT",
+          "severity": "OK"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 2 col groups"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": true,
+          "detail": "GT funcs: ['RANK', 'SUM']",
+          "severity": "OK"
+        },
+        {
+          "check": "unmatched_default_rule",
+          "pass": true,
+          "detail": "no default-rule phrase found in NL",
+          "severity": "OK"
+        },
+        {
+          "check": "volatile_function_freeze",
+          "pass": true,
+          "detail": "volatile_cells=0",
+          "severity": "OK"
+        },
+        {
+          "check": "direct_answer_leakage",
+          "pass": true,
+          "detail": "0 leaks out of 22 GT cells (0%)",
+          "severity": "OK"
+        }
+      ]
+    },
+    "pre_nl_local": {
+      "local_total": 58,
+      "local_label": "PENDING_NL",
+      "hard_fail_flags": [],
+      "warnings": [
+        "nl_missing"
+      ],
+      "local_subscores": {
+        "family_clean": 25,
+        "target_integrity": 15,
+        "taxonomy": 10,
+        "semantic_signal": 8,
+        "nl_schema": 0,
+        "target_alignment": 0,
+        "business_specificity": 0,
+        "nl_risk": 0
+      }
+    }
+  },
+  "verify": {
+    "uniqueness": {
+      "total_gt_cells": 22,
+      "total_non_none": 22,
+      "block_reasons": [],
+      "warnings": [],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 11,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "int": 22
+          },
+          "mixed": false
+        },
+        "empty_gt": {
+          "count": 0,
+          "details": []
+        }
+      }
+    },
+    "src_chain": {
+      "hard_block": false,
+      "block_reasons": [],
+      "checks": {
+        "error_cells": {
+          "pass": true,
+          "count": 0,
+          "cells": []
+        },
+        "external_refs": {
+          "pass": true,
+          "count": 0,
+          "cells": []
+        },
+        "volatile_funcs": {
+          "pass": true,
+          "count": 0,
+          "cells": []
+        },
+        "missing_sheets": {
+          "pass": true,
+          "count": 0,
+          "sheets": []
+        },
+        "circular_refs": {
+          "pass": true,
+          "cycle_cells": []
+        }
+      },
+      "required_chain_scope": {
+        "external_ref_in_required_chain": 0,
+        "external_ref_in_other": 0,
+        "error_cells_in_required_chain": 0,
+        "error_cells_in_other": 0,
+        "required_chain_cells": 22
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 22,
+      "total_masked": 22,
+      "total_visible": 302,
+      "depth": 2,
+      "block_reasons": [],
+      "warnings": [],
+      "checks": {
+        "broken_chains": {
+          "count": 0,
+          "checked": 22,
+          "details": []
+        },
+        "orphan_masks": {
+          "count": 0,
+          "details": []
+        },
+        "self_contained": {
+          "missing_sheets": []
+        }
+      }
+    },
+    "exemplar": {
+      "soft_block": true,
+      "block_reasons": [
+        "zero_exemplar:1_patterns"
+      ],
+      "checks": {
+        "pattern_coverage": {
+          "pass": false,
+          "total_gt_patterns": 2,
+          "total_src_patterns": 9,
+          "zero_exemplar_count": 1,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": false,
+          "patterns": [
+            {
+              "pattern": "=RANK(REF,D:D,1)",
+              "total_in_src": 11,
+              "sample_formula": "=RANK(D2,D:D,1)"
+            }
+          ]
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "SUM": {
+            "total_masked": 11,
+            "visible_exemplars": 11
+          },
+          "RANK": {
+            "total_masked": 11,
+            "visible_exemplars": 22
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.0,
+      "flags": []
+    },
+    "release_audit": {
+      "surface_single_sheet": true,
+      "surface_sheets": [
+        "Sheet2"
+      ],
+      "cross_sheet_actual": false,
+      "cross_sheet_ref_count": 0,
+      "referenced_sheets": [],
+      "target_shape": "template_column_fill",
+      "layer_sizes": [
+        11,
+        11
+      ],
+      "mask_last_total_cells": 22,
+      "layer_growth_ratios": [
+        1.0
+      ],
+      "pattern_dominance_ratio": 0.5,
+      "visible_clone_regions": 0,
+      "nearby_visible_clone_regions": 0,
+      "nearby_visible_clone_rows": 0,
+      "nearby_visible_clone_ratio": 0.0,
+      "promptability_score": 1.0,
+      "release_reasons": [],
+      "release_verdict": "KEEP"
+    }
+  },
+  "difficulty": {
+    "task_id": "single_sheet__dag_d448f67ecda7",
+    "difficulty_score": 37.1,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 22,
+    "is_cross_sheet": false,
+    "unique_patterns": 2,
+    "avg_complexity": 4.0,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.083,
+    "score_breakdown": {
+      "depth": 7,
+      "cross_sheet": 0,
+      "cell_count": 8.9,
+      "patterns": 6,
+      "complexity": 6.0,
+      "cross_refs": 0,
+      "vis_penalty": 9.2
+    }
+  }
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09618/ground_truth_full.json

@@ -0,0 +1,200 @@
+[
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 2,
+    "formula": "=RANK(D2,D:D,1)",
+    "cached_value": 1,
+    "pattern_id": "pf_0005",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 5,
+    "formula": "=RANK(D5,D:D,1)",
+    "cached_value": 1,
+    "pattern_id": "pf_0005",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 8,
+    "formula": "=RANK(D8,D:D,1)",
+    "cached_value": 3,
+    "pattern_id": "pf_0005",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 11,
+    "formula": "=RANK(D11,D:D,1)",
+    "cached_value": 4,
+    "pattern_id": "pf_0005",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 14,
+    "formula": "=RANK(D14,D:D,1)",
+    "cached_value": 4,
+    "pattern_id": "pf_0005",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 17,
+    "formula": "=RANK(D17,D:D,1)",
+    "cached_value": 6,
+    "pattern_id": "pf_0005",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 20,
+    "formula": "=RANK(D20,D:D,1)",
+    "cached_value": 7,
+    "pattern_id": "pf_0005",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 23,
+    "formula": "=RANK(D23,D:D,1)",
+    "cached_value": 8,
+    "pattern_id": "pf_0005",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 26,
+    "formula": "=RANK(D26,D:D,1)",
+    "cached_value": 8,
+    "pattern_id": "pf_0005",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 29,
+    "formula": "=RANK(D29,D:D,1)",
+    "cached_value": 10,
+    "pattern_id": "pf_0005",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 32,
+    "formula": "=RANK(D32,D:D,1)",
+    "cached_value": 11,
+    "pattern_id": "pf_0005",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "D",
+    "row": 2,
+    "formula": "=SUM(J2:N2)",
+    "cached_value": 54,
+    "pattern_id": "pf_0006",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "D",
+    "row": 5,
+    "formula": "=SUM(J5:N5)",
+    "cached_value": 54,
+    "pattern_id": "pf_0006",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "D",
+    "row": 8,
+    "formula": "=SUM(J8:N8)",
+    "cached_value": 55,
+    "pattern_id": "pf_0006",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "D",
+    "row": 11,
+    "formula": "=SUM(J11:N11)",
+    "cached_value": 74,
+    "pattern_id": "pf_0006",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "D",
+    "row": 14,
+    "formula": "=SUM(J14:N14)",
+    "cached_value": 74,
+    "pattern_id": "pf_0006",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "D",
+    "row": 17,
+    "formula": "=SUM(J17:N17)",
+    "cached_value": 203,
+    "pattern_id": "pf_0006",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "D",
+    "row": 20,
+    "formula": "=SUM(J20:N20)",
+    "cached_value": 230,
+    "pattern_id": "pf_0006",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "D",
+    "row": 23,
+    "formula": "=SUM(J23:N23)",
+    "cached_value": 242,
+    "pattern_id": "pf_0006",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "D",
+    "row": 26,
+    "formula": "=SUM(J26:N26)",
+    "cached_value": 242,
+    "pattern_id": "pf_0006",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "D",
+    "row": 29,
+    "formula": "=SUM(J29:N29)",
+    "cached_value": 276,
+    "pattern_id": "pf_0006",
+    "layer": 2
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "D",
+    "row": 32,
+    "formula": "=SUM(J32:N32)",
+    "cached_value": 324,
+    "pattern_id": "pf_0006",
+    "layer": 2
+  }
+]

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09618/ground_truth_target.json

@@ -0,0 +1,90 @@
+[
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 2,
+    "formula": "=RANK(D2,D:D,1)",
+    "cached_value": 1,
+    "pattern_id": "pf_0005"
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 5,
+    "formula": "=RANK(D5,D:D,1)",
+    "cached_value": 1,
+    "pattern_id": "pf_0005"
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 8,
+    "formula": "=RANK(D8,D:D,1)",
+    "cached_value": 3,
+    "pattern_id": "pf_0005"
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 11,
+    "formula": "=RANK(D11,D:D,1)",
+    "cached_value": 4,
+    "pattern_id": "pf_0005"
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 14,
+    "formula": "=RANK(D14,D:D,1)",
+    "cached_value": 4,
+    "pattern_id": "pf_0005"
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 17,
+    "formula": "=RANK(D17,D:D,1)",
+    "cached_value": 6,
+    "pattern_id": "pf_0005"
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 20,
+    "formula": "=RANK(D20,D:D,1)",
+    "cached_value": 7,
+    "pattern_id": "pf_0005"
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 23,
+    "formula": "=RANK(D23,D:D,1)",
+    "cached_value": 8,
+    "pattern_id": "pf_0005"
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 26,
+    "formula": "=RANK(D26,D:D,1)",
+    "cached_value": 8,
+    "pattern_id": "pf_0005"
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 29,
+    "formula": "=RANK(D29,D:D,1)",
+    "cached_value": 10,
+    "pattern_id": "pf_0005"
+  },
+  {
+    "sheet": "Sheet2",
+    "col": "A",
+    "row": 32,
+    "formula": "=RANK(D32,D:D,1)",
+    "cached_value": 11,
+    "pattern_id": "pf_0005"
+  }
+]

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09618/layers.json

@@ -0,0 +1,107 @@
+{
+  "dag_id": "dag_d448f67ecda7",
+  "file_id": "783942d1655305285-cross-country-tie-breaking-formula-xc-tie-breaking-formulas",
+  "category": "single_sheet",
+  "surface_category": "single_sheet",
+  "effective_category": "single_sheet",
+  "depth": 2,
+  "quality": {
+    "chain_error_cells": 0,
+    "chain_external_cells": 0,
+    "is_clean": true
+  },
+  "layers": [
+    {
+      "layer_index": 1,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00079",
+            "rg_00080",
+            "rg_00081",
+            "rg_00082",
+            "rg_00083",
+            "rg_00084",
+            "rg_00085",
+            "rg_00086",
+            "rg_00087",
+            "rg_00088",
+            "rg_00089"
+          ],
+          "sheet": "Sheet2",
+          "col": "A",
+          "rows": [
+            2,
+            5,
+            8,
+            11,
+            14,
+            17,
+            20,
+            23,
+            26,
+            29,
+            32
+          ],
+          "row_ranges": "2,5,8,11,14,17,20,23,26,29,32",
+          "row_count": 11,
+          "pattern_id": "pf_0005",
+          "normalized_pattern": "=RANK([C+3,R],D:D,1)",
+          "sample_formula": "=RANK(D2,D:D,1)"
+        }
+      ],
+      "new_eval_cells": 11,
+      "total_masked_cells": 11
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00090",
+            "rg_00091",
+            "rg_00092",
+            "rg_00093",
+            "rg_00094",
+            "rg_00095",
+            "rg_00096",
+            "rg_00097",
+            "rg_00098",
+            "rg_00099",
+            "rg_00100"
+          ],
+          "sheet": "Sheet2",
+          "col": "D",
+          "rows": [
+            2,
+            5,
+            8,
+            11,
+            14,
+            17,
+            20,
+            23,
+            26,
+            29,
+            32
+          ],
+          "row_ranges": "2,5,8,11,14,17,20,23,26,29,32",
+          "row_count": 11,
+          "pattern_id": "pf_0006",
+          "normalized_pattern": "=SUM([C+6,R]:[C+10,R])",
+          "sample_formula": "=SUM(J2:N2)"
+        }
+      ],
+      "new_eval_cells": 11,
+      "total_masked_cells": 22
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00079",
+    "sheet": "Sheet2",
+    "col": "A",
+    "pattern_id": "pf_0005",
+    "row_count": 1,
+    "family_size": 11
+  }
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09618/nl_task.json

@@ -0,0 +1,26 @@
+{
+  "task_id": "single_sheet__dag_d448f67ecda7",
+  "prompt_en": "The ranking table on Sheet2 lists each Team alongside Pts, [Person_1] I'd Like, College Tie Break Rank, and HS Tie Break Rank, but several entries in the Pl column are still blank. Please complete the missing Pl values in column A for the rows shown as blank: A2, A5, A8, A11, A14, A17, A20, A23, A26, A29, and A32. The related ranking and tie-break fields need to be in place for the placement column to make sense. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "Sheet2 上的排名表按 Team 列出，并包含 Pts、[Person_1] I'd Like、College Tie Break Rank 和 HS Tie Break Rank 等字段，但 Pl 列里还有几处空白。请补全 A 列中缺失的 Pl 值，位置是 A2、A5、A8、A11、A14、A17、A20、A23、A26、A29 和 A32。相关的排名和 tie-break 字段需要先保持完整，Pl 这一列才有意义。请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt identifies the sheet, relevant visible columns, and exact blank Pl cells while avoiding formulas, computation instructions, or answer values. It mentions the prerequisite relationship only in broad contextual terms.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 8,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
+      "operation_words": 0,
+      "cell_range_density": 8,
+      "step_by_step": 0,
+      "column_operation_mapping": 0,
+      "formula_pattern_hints": 0
+    },
+    "operation_words_found": [],
+    "cell_ranges_found": 0
+  },
+  "version": "v7",
+  "model": "gpt-5.5",
+  "elapsed": 11.1,
+  "attempt": 1
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09618/release_qc.json

@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "CORRECT: mask boundary is clean and the D→A dependency chain is reconstructible from visible Sheet2 context, though the Pl tie-handling rule is somewhat implicit.",
+  "D1": {
+    "score": 5,
+    "reason": "All 22 masked cells are real cells within the Sheet2 data range, matching the target contract exactly. The diff summary shows 22 truly masked contract cells, 0 contract cells left unmasked, and 0 extra masked cells. Formula-cache loss is correctly identified as an openpyxl artifact. There is no trivially copyable visible same-column formula for A or D that would reduce the task to pure copying."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The ground-truth formulas are consistent with src.xlsx. D cells are point totals, and A cells rank those point totals using RANK(Dx,D:D,1). The cached ranks match the visible source values: ties at 54 receive rank 1, 55 receives rank 3, ties at 74 receive rank 4, and so on. The formulas are deterministic and internally consistent."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL clearly identifies Sheet2, the Pl column, and the exact cells to complete. It also mentions related ranking and tie-break fields. However, it does not explicitly state that Pl should rank Pts ascending and preserve tied ranks, so the exact ranking rule is somewhat implicit."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "Using only mask_last.xlsx and the prompt, the dependency chain is mostly reconstructible. The Pts column is blank, but visible formulas in related columns, especially the Tie Break HS formula using SUM(J:N), provide strong evidence that Pts should be the sum of columns J:N. The Pl column can reasonably be inferred as a rank/placement based on Pts, with the visible ordering and tie indicators supporting ascending ranking. The main minor gap is that no visible A-column exemplar confirms the exact RANK(D:D,1) tie behavior, so a solver could briefly consider tie-break-based placement, but the root evidence is sufficient overall.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 4,
+    "reason": "The source spreadsheet appears structurally sound: formulas are present, deterministic, and no circular or broken references are evident in the provided context. The ranking and point-total logic is coherent. Minor quality issues include a typo in the header 'Tie Brieak College' and some awkward formulas/labels, but these do not undermine the task."
+  },
+  "D6": {
+    "score": 4,
+    "reason": "The NL sounds like a plausible workplace request and avoids benchmark-specific language. It is slightly verbose and the phrase about related ranking and tie-break fields is a bit indirect, but overall it is natural and usable."
+  },
+  "total": 26,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality task with clean masking, correct ground truth, and sufficient visible evidence for the two-step chain. The only notable weakness is that the precise Pl tie-handling rule is implicit rather than explicitly stated, but this is a minor solvability concern rather than a fundamental flaw.",
+  "frontier_hardness": {
+    "score": 2,
+    "reason": "This is a short single-sheet depth-2 chain with only two formula patterns. A frontier model should infer D as SUM(J:N) from visible related formulas and infer Pl as an ascending rank of Pts. The absence of a direct A-column exemplar adds some reasoning burden, but the task is not likely to defeat a frontier model.",
+    "fail_reason": "easy",
+    "is_valid_hardness": false
+  },
+  "_prompt_chars": 29518,
+  "_timing_load_workbooks": 0.04,
+  "_timing_context": 0.0,
+  "_timing_api": 41.49,
+  "local_difficulty": {
+    "difficulty_score": 37.1,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 22,
+    "is_cross_sheet": false,
+    "unique_patterns": 2,
+    "avg_complexity": 4,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.083
+  },
+  "task_id": "single_sheet__dag_d448f67ecda7",
+  "elapsed": 41.5,
+  "publish_decision": "YES",
+  "release_tier": "SILVER",
+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09618/target_contract.json

@@ -0,0 +1,71 @@
+{
+  "task_id": "single_sheet__dag_d448f67ecda7",
+  "category": "single_sheet",
+  "depth": 2,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "Sheet2",
+        "column": "A",
+        "column_header": "Pl",
+        "cell_range": "A2, A5, A8, A11, A14, A17, A20, A23, A26, A29, A32",
+        "cell_count": 11,
+        "rows": [
+          2,
+          5,
+          8,
+          11,
+          14,
+          17,
+          20,
+          23,
+          26,
+          29,
+          32
+        ],
+        "first_row_label": "Tie",
+        "last_row_label": "Team 11"
+      }
+    ],
+    "cell_count": 11,
+    "formula_families": [
+      "ranking"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Sheet2",
+          "column": "D",
+          "column_header": "Pts",
+          "cell_range": "D2, D5, D8, D11, D14, D17, D20, D23, D26, D29, D32",
+          "cell_count": 11,
+          "rows": [
+            2,
+            5,
+            8,
+            11,
+            14,
+            17,
+            20,
+            23,
+            26,
+            29,
+            32
+          ],
+          "first_row_label": "Tie",
+          "last_row_label": "Team 11"
+        }
+      ],
+      "cell_count": 11
+    }
+  ],
+  "total_prerequisite_cells": 11,
+  "total_masked_cells": 22,
+  "ratio_total_vs_final": 2.0,
+  "sheets_involved": [
+    "Sheet2"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09618/task_meta.json

@@ -0,0 +1,37 @@
+{
+  "fcb_id": "FCB-09618",
+  "task_id": "single_sheet__dag_d448f67ecda7",
+  "tier": "T4_STANDARD",
+  "category": "single_sheet",
+  "depth": 2,
+  "total_masked": 22,
+  "is_cross_sheet": false,
+  "prompt_en": "The ranking table on Sheet2 lists each Team alongside Pts, [Person_1] I'd Like, College Tie Break Rank, and HS Tie Break Rank, but several entries in the Pl column are still blank. Please complete the missing Pl values in column A for the rows shown as blank: A2, A5, A8, A11, A14, A17, A20, A23, A26, A29, and A32. The related ranking and tie-break fields need to be in place for the placement column to make sense. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "Sheet2 上的排名表按 Team 列出，并包含 Pts、[Person_1] I'd Like、College Tie Break Rank 和 HS Tie Break Rank 等字段，但 Pl 列里还有几处空白。请补全 A 列中缺失的 Pl 值，位置是 A2、A5、A8、A11、A14、A17、A20、A23、A26、A29 和 A32。相关的排名和 tie-break 字段需要先保持完整，Pl 这一列才有意义。请将完成后的工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 26,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 4,
+    "D4": 4,
+    "D5": 4,
+    "D6": 4,
+    "frontier_hardness": 2,
+    "local_difficulty": 37.1
+  },
+  "source_file_id": "783942d1655305285-cross-country-tie-breaking-formula-xc-tie-breaking-formulas",
+  "inferred_domain": "data_analysis",
+  "domain_confidence": 0.25,
+  "sheet_profiles": [
+    {
+      "name": "Sheet2",
+      "used_range": "A1:W35",
+      "row_count": 35,
+      "col_count": 23,
+      "has_header": false,
+      "title_hint": "Sheet2",
+      "header_info": null
+    }
+  ]
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09675/layers.json

@@ -0,0 +1,101 @@
+{
+  "dag_id": "dag_dd201c6e4a32",
+  "file_id": "688974d1596046125-sales-by-month-sales-by-month",
+  "category": "single_sheet",
+  "surface_category": "single_sheet",
+  "effective_category": "single_sheet",
+  "depth": 2,
+  "quality": {
+    "chain_error_cells": 0,
+    "chain_external_cells": 0,
+    "is_clean": true
+  },
+  "layers": [
+    {
+      "layer_index": 1,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00001"
+          ],
+          "sheet": "Sheet1",
+          "col": "H",
+          "rows": [
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23
+          ],
+          "row_ranges": "6-23",
+          "row_count": 18,
+          "pattern_id": "pf_0001",
+          "normalized_pattern": "=[C-3,R]+[C-1,R]",
+          "sample_formula": "=E6+G6"
+        }
+      ],
+      "new_eval_cells": 18,
+      "total_masked_cells": 18
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00000"
+          ],
+          "sheet": "Sheet1",
+          "col": "G",
+          "rows": [
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23
+          ],
+          "row_ranges": "6-23",
+          "row_count": 18,
+          "pattern_id": "pf_0000",
+          "normalized_pattern": "=[C-2,R]*[C-1,R]",
+          "sample_formula": "=E6*F6"
+        }
+      ],
+      "new_eval_cells": 18,
+      "total_masked_cells": 36
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00001",
+    "sheet": "Sheet1",
+    "col": "H",
+    "pattern_id": "pf_0001",
+    "row_count": 18,
+    "family_size": 18
+  }
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09675/nl_task.json

@@ -0,0 +1,26 @@
+{
+  "task_id": "single_sheet__dag_dd201c6e4a32",
+  "prompt_en": "The Sales Data sheet is an invoice list for the fiscal year close-out, with rows organized by Date, Name, Vat Number, Invoice, and Amount. The VAT-inclusive amount field is still blank for the sales entries in the Amount Including Vat column on Sheet1, specifically H6:H23. Please fill in those missing Amount Including Vat values using the information already visible on the sheet. The row-level amount details need to be in place before the VAT-inclusive entries make sense. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "这个 Sales Data 工作表是用于财政年度收尾的发票清单，按 Date、Name、Vat Number、Invoice 和 Amount 等字段整理。Sheet1 中 Amount Including Vat 列的销售记录还有空白，具体是 H6:H23。请根据表中已经可见的信息，填入这些缺失的 Amount Including Vat 数值。每行的金额相关信息需要先对应好，含 VAT 的金额才会完整。请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt is minimal and business-oriented, names the visible sheet/context and target column/range, avoids formulas and operational hints, and includes a natural prerequisite mention without listing steps.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 3,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
+      "operation_words": 0,
+      "cell_range_density": 3,
+      "step_by_step": 0,
+      "column_operation_mapping": 0,
+      "formula_pattern_hints": 0
+    },
+    "operation_words_found": [],
+    "cell_ranges_found": 1
+  },
+  "version": "v7",
+  "model": "gpt-5.5",
+  "elapsed": 10.7,
+  "attempt": 1
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-09675/release_qc.json

@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "Well-designed overall: the mask is clean, formulas are correct, and the VAT-inclusive values are inferable from visible Amount and VAT % data, though the prerequisite G column header is weak.",
+  "D1": {
+    "score": 5,
+    "reason": "All 36 contract cells are real cells within the visible data range, and the diff shows exactly 36 truly masked cells with no extra masking and no unmasked contract cells. No phantom cells or mask-boundary issues are evident. There is no trivially copyable visible same-row formula pattern in the provided solver view."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The ground-truth formulas are consistent and deterministic. G is computed as Amount times VAT %, and H is computed as Amount plus G. Cached values match the formulas, e.g. H6 = 2300 + 2300*0.15 = 2645."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL clearly identifies the final target range H6:H23 and describes the intended VAT-inclusive amount calculation. However, it only vaguely hints at the prerequisite G column via 'row-level amount details need to be in place' and does not explicitly name or describe G."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "Using only mask_last.xlsx and the NL, the final Amount Including Vat values are reconstructible from visible Amount and Vat % columns. The intermediate G column is less explicit because its header is anonymized as [Person_1], but its position between Vat % and Amount Including Vat plus the prompt's hint about row-level amount details provides a reasonable structural clue that it should contain the VAT amount. No hidden constants are needed because the VAT rate is visible in F6:F23.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 4,
+    "reason": "The source spreadsheet is structurally sound: formulas are consistent, no circular or broken references are apparent, and the data is coherent. The main quality issue is that column G's header is anonymized/misleading as [Person_1] even though the column contains VAT amount formulas, which weakens semantic clarity."
+  },
+  "D6": {
+    "score": 4,
+    "reason": "The NL sounds like a plausible workplace request and avoids benchmark jargon. It is somewhat generic and slightly awkward around the prerequisite hint, but overall natural enough."
+  },
+  "total": 26,
+  "verdict": "RELEASE",
+  "verdict_reason": "Publishable as-is. The task has clean masking, correct deterministic formulas, and sufficient visible evidence to reconstruct the two-step VAT calculation. The only notable weakness is the unclear/anonymized G-column header, but the calculation remains reasonably inferable.",
+  "frontier_hardness": {
+    "score": 2,
+    "reason": "This is a short single-sheet depth-2 chain with two simple formula patterns and all numeric inputs visible. A frontier model should infer VAT amount as Amount*Vat % and Amount Including Vat as Amount plus VAT amount, despite the weak G header.",
+    "fail_reason": "easy",
+    "is_valid_hardness": false
+  },
+  "_prompt_chars": 23139,
+  "_timing_load_workbooks": 0.02,
+  "_timing_context": 0.0,
+  "_timing_api": 25.22,
+  "local_difficulty": {
+    "difficulty_score": 36.3,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 36,
+    "is_cross_sheet": false,
+    "unique_patterns": 2,
+    "avg_complexity": 4,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.308
+  },
+  "task_id": "single_sheet__dag_dd201c6e4a32",
+  "elapsed": 25.2,
+  "publish_decision": "YES",
+  "release_tier": "SILVER",
+  "hard_block_reasons": []
+}