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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00282/audit.json

@@ -0,0 +1,568 @@
+{
+  "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 73 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=399023B, src=269844B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=8.0 (total=584, final=73)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "39 unique values across 584 cells [WARN: low_discrimination layer_1_ground_truth: 64/73=88%; layer_2_ground_truth: 128/146=88%; layer_3_ground_truth: 128/146=88%; layer_4_ground_truth: 64/73=88%; layer_5_ground_truth: 128/146=88%]"
+        },
+        {
+          "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: Indvl Stmnts!CM→CL(72/73), Indvl Stmnts!CL→CM(72/73), Indvl Stmnts!CQ→CP(64/73), Indvl Stmnts!CP→CQ(64/73), Indvl Stmnts!CR→CQ(64/73)"
+        },
+        {
+          "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": 2,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": false,
+          "detail": "contract=9, prompt=1, missing=6",
+          "missing_ranges": [
+            "CJ5:CJ76",
+            "CM4:CM76",
+            "CP4:CP76",
+            "CQ4:CQ76",
+            "CR4:CR76",
+            "D4"
+          ],
+          "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=4, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": true,
+          "detail": "contract=['Indvl Stmnts'], 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 73 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": false,
+          "detail": "referenced=1 mentioned=0 missing=1 [TR List]",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 9 col groups"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": true,
+          "detail": "GT funcs: ['IF', 'SUMIF', 'SUMIFS']",
+          "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 584 GT cells (0%)",
+          "severity": "OK"
+        }
+      ]
+    },
+    "pre_nl_local": {
+      "local_total": 58,
+      "local_label": "PENDING_NL",
+      "hard_fail_flags": [],
+      "warnings": [
+        "release_verdict_not_keep",
+        "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": 584,
+      "total_non_none": 584,
+      "block_reasons": [],
+      "warnings": [
+        "mixed_gt_types:{'float': 46, 'int': 538}"
+      ],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "float": 46,
+            "int": 538
+          },
+          "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": 584
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 584,
+      "total_masked": 584,
+      "total_visible": 5651,
+      "depth": 5,
+      "block_reasons": [],
+      "warnings": [
+        "broken_chains:73/584"
+      ],
+      "checks": {
+        "broken_chains": {
+          "count": 73,
+          "checked": 584,
+          "details": [
+            {
+              "cell": "Indvl Stmnts!CL10",
+              "missing_dep": "Indvl Stmnts!CK10",
+              "formula": "=IF($B10=0, 0, IF($CJ10<5000,((5000-$CJ10)+($D10+$CK10)),$D10+$CK10))"
+            },
+            {
+              "cell": "Indvl Stmnts!CL19",
+              "missing_dep": "Indvl Stmnts!D19",
+              "formula": "=IF($B19=0, 0, IF($CJ19<5000,((5000-$CJ19)+($D19+$CK19)),$D19+$CK19))"
+            },
+            {
+              "cell": "Indvl Stmnts!CL5",
+              "missing_dep": "Indvl Stmnts!CK5",
+              "formula": "=IF($B5=0, 0, IF($CJ5<5000,((5000-$CJ5)+($D5+$CK5)),$D5+$CK5))"
+            },
+            {
+              "cell": "Indvl Stmnts!CL71",
+              "missing_dep": "Indvl Stmnts!D71",
+              "formula": "=IF($B71=0, 0, IF($CJ71<5000,((5000-$CJ71)+($D71+$CK71)),$D71+$CK71))"
+            },
+            {
+              "cell": "Indvl Stmnts!CL66",
+              "missing_dep": "Indvl Stmnts!D66",
+              "formula": "=IF($B66=0, 0, IF($CJ66<5000,((5000-$CJ66)+($D66+$CK66)),$D66+$CK66))"
+            },
+            {
+              "cell": "Indvl Stmnts!CL75",
+              "missing_dep": "Indvl Stmnts!D75",
+              "formula": "=IF($B75=0, 0, IF($CJ75<5000,((5000-$CJ75)+($D75+$CK75)),$D75+$CK75))"
+            },
+            {
+              "cell": "Indvl Stmnts!CL52",
+              "missing_dep": "Indvl Stmnts!D52",
+              "formula": "=IF($B52=0, 0, IF($CJ52<5000,((5000-$CJ52)+($D52+$CK52)),$D52+$CK52))"
+            },
+            {
+              "cell": "Indvl Stmnts!CL61",
+              "missing_dep": "Indvl Stmnts!D61",
+              "formula": "=IF($B61=0, 0, IF($CJ61<5000,((5000-$CJ61)+($D61+$CK61)),$D61+$CK61))"
+            },
+            {
+              "cell": "Indvl Stmnts!CL70",
+              "missing_dep": "Indvl Stmnts!D70",
+              "formula": "=IF($B70=0, 0, IF($CJ70<5000,((5000-$CJ70)+($D70+$CK70)),$D70+$CK70))"
+            },
+            {
+              "cell": "Indvl Stmnts!CL47",
+              "missing_dep": "Indvl Stmnts!D47",
+              "formula": "=IF($B47=0, 0, IF($CJ47<5000,((5000-$CJ47)+($D47+$CK47)),$D47+$CK47))"
+            },
+            {
+              "cell": "Indvl Stmnts!CL56",
+              "missing_dep": "Indvl Stmnts!D56",
+              "formula": "=IF($B56=0, 0, IF($CJ56<5000,((5000-$CJ56)+($D56+$CK56)),$D56+$CK56))"
+            },
+            {
+              "cell": "Indvl Stmnts!CL65",
+              "missing_dep": "Indvl Stmnts!D65",
+              "formula": "=IF($B65=0, 0, IF($CJ65<5000,((5000-$CJ65)+($D65+$CK65)),$D65+$CK65))"
+            },
+            {
+              "cell": "Indvl Stmnts!CL74",
+              "missing_dep": "Indvl Stmnts!D74",
+              "formula": "=IF($B74=0, 0, IF($CJ74<5000,((5000-$CJ74)+($D74+$CK74)),$D74+$CK74))"
+            },
+            {
+              "cell": "Indvl Stmnts!CL33",
+              "missing_dep": "Indvl Stmnts!D33",
+              "formula": "=IF($B33=0, 0, IF($CJ33<5000,((5000-$CJ33)+($D33+$CK33)),$D33+$CK33))"
+            },
+            {
+              "cell": "Indvl Stmnts!CL42",
+              "missing_dep": "Indvl Stmnts!D42",
+              "formula": "=IF($B42=0, 0, IF($CJ42<5000,((5000-$CJ42)+($D42+$CK42)),$D42+$CK42))"
+            },
+            {
+              "cell": "Indvl Stmnts!CL51",
+              "missing_dep": "Indvl Stmnts!D51",
+              "formula": "=IF($B51=0, 0, IF($CJ51<5000,((5000-$CJ51)+($D51+$CK51)),$D51+$CK51))"
+            },
+            {
+              "cell": "Indvl Stmnts!CL60",
+              "missing_dep": "Indvl Stmnts!D60",
+              "formula": "=IF($B60=0, 0, IF($CJ60<5000,((5000-$CJ60)+($D60+$CK60)),$D60+$CK60))"
+            },
+            {
+              "cell": "Indvl Stmnts!CL69",
+              "missing_dep": "Indvl Stmnts!D69",
+              "formula": "=IF($B69=0, 0, IF($CJ69<5000,((5000-$CJ69)+($D69+$CK69)),$D69+$CK69))"
+            },
+            {
+              "cell": "Indvl Stmnts!CL28",
+              "missing_dep": "Indvl Stmnts!D28",
+              "formula": "=IF($B28=0, 0, IF($CJ28<5000,((5000-$CJ28)+($D28+$CK28)),$D28+$CK28))"
+            },
+            {
+              "cell": "Indvl Stmnts!CL37",
+              "missing_dep": "Indvl Stmnts!D37",
+              "formula": "=IF($B37=0, 0, IF($CJ37<5000,((5000-$CJ37)+($D37+$CK37)),$D37+$CK37))"
+            }
+          ]
+        },
+        "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": 8,
+          "total_src_patterns": 17,
+          "zero_exemplar_count": 2,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": false,
+          "patterns": [
+            {
+              "pattern": "=REF/12",
+              "total_in_src": 73,
+              "sample_formula": "=B4/12"
+            },
+            {
+              "pattern": "=SUMIF(RANGE,REF,RANGE)",
+              "total_in_src": 73,
+              "sample_formula": "=SUMIF('TR List'!$A$4:$A$550,$A4,'TR List'!$J$4:$J$550)"
+            }
+          ]
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "SUMIF": {
+            "total_masked": 73,
+            "visible_exemplars": 0
+          },
+          "reference": {
+            "total_masked": 74,
+            "visible_exemplars": 803
+          },
+          "IF": {
+            "total_masked": 218,
+            "visible_exemplars": 7144
+          },
+          "SUMIFS": {
+            "total_masked": 73,
+            "visible_exemplars": 876
+          },
+          "arithmetic": {
+            "total_masked": 146,
+            "visible_exemplars": 886
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.5,
+      "flags": [
+        {
+          "code": "SC1",
+          "description": "Constant fill: 88% of GT cells = 0",
+          "affected_cells": 512,
+          "severity": "medium"
+        },
+        {
+          "code": "SC4",
+          "description": "All-zero: 512/584 GT cells are 0",
+          "affected_cells": 512,
+          "severity": "medium"
+        }
+      ]
+    },
+    "release_audit": {
+      "surface_single_sheet": true,
+      "surface_sheets": [
+        "Indvl Stmnts"
+      ],
+      "cross_sheet_actual": true,
+      "cross_sheet_ref_count": 365,
+      "referenced_sheets": [
+        "TR List"
+      ],
+      "target_shape": "single_column_series",
+      "layer_sizes": [
+        73,
+        146,
+        146,
+        73,
+        146
+      ],
+      "mask_last_total_cells": 584,
+      "layer_growth_ratios": [
+        2.0,
+        1.0,
+        0.5,
+        2.0
+      ],
+      "pattern_dominance_ratio": 0.125,
+      "visible_clone_regions": 12,
+      "nearby_visible_clone_regions": 1,
+      "nearby_visible_clone_rows": 73,
+      "nearby_visible_clone_ratio": 0.5,
+      "promptability_score": 0.52,
+      "release_reasons": [
+        "family_large",
+        "visible_clone_leakage",
+        "cross_sheet_metadata_mismatch"
+      ],
+      "release_verdict": "REVISION_POOL"
+    }
+  },
+  "difficulty": {
+    "task_id": "cross_sheet__dag_66fb9ec9e9c2",
+    "difficulty_score": 99.6,
+    "difficulty": "hard",
+    "depth": 5,
+    "total_masked": 584,
+    "is_cross_sheet": true,
+    "unique_patterns": 9,
+    "avg_complexity": 16.0,
+    "cross_refs": 365,
+    "visible_exemplar_ratio": 0.039,
+    "score_breakdown": {
+      "depth": 25,
+      "cross_sheet": 10,
+      "cell_count": 15,
+      "patterns": 15,
+      "complexity": 15,
+      "cross_refs": 10,
+      "vis_penalty": 9.6
+    }
+  }
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00282/ground_truth_target.json

@@ -0,0 +1,586 @@
+[
+  {
+    "sheet": "Indvl Stmnts",
+    "col": "CL",
+    "row": 4,
+    "formula": "=IF($B4=0, 0, IF($CJ4<5000,((5000-$CJ4)+($D4+$CK4)),$D4+$CK4))",
+    "cached_value": 1335.5833333333333,
+    "pattern_id": "pf_0034"
+  },
+  {
+    "sheet": "Indvl Stmnts",
+    "col": "CL",
+    "row": 5,
+    "formula": "=IF($B5=0, 0, IF($CJ5<5000,((5000-$CJ5)+($D5+$CK5)),$D5+$CK5))",
+    "cached_value": 1500,
+    "pattern_id": "pf_0034"
+  },
+  {
+    "sheet": "Indvl Stmnts",
+    "col": "CL",
+    "row": 6,
+    "formula": "=IF($B6=0, 0, IF($CJ6<5000,((5000-$CJ6)+($D6+$CK6)),$D6+$CK6))",
+    "cached_value": 1500,
+    "pattern_id": "pf_0034"
+  },
+  {
+    "sheet": "Indvl Stmnts",
+    "col": "CL",
+    "row": 7,
+    "formula": "=IF($B7=0, 0, IF($CJ7<5000,((5000-$CJ7)+($D7+$CK7)),$D7+$CK7))",
+    "cached_value": 1500,
+    "pattern_id": "pf_0034"
+  },
+  {
+    "sheet": "Indvl Stmnts",
+    "col": "CL",
+    "row": 8,
+    "formula": "=IF($B8=0, 0, IF($CJ8<5000,((5000-$CJ8)+($D8+$CK8)),$D8+$CK8))",
+    "cached_value": 1500,
+    "pattern_id": "pf_0034"
+  },
+  {
+    "sheet": "Indvl Stmnts",
+    "col": "CL",
+    "row": 9,
+    "formula": "=IF($B9=0, 0, IF($CJ9<5000,((5000-$CJ9)+($D9+$CK9)),$D9+$CK9))",
+    "cached_value": 1500,
+    "pattern_id": "pf_0034"
+  },
+  {
+    "sheet": "Indvl Stmnts",
+    "col": "CL",
+    "row": 10,
+    "formula": "=IF($B10=0, 0, IF($CJ10<5000,((5000-$CJ10)+($D10+$CK10)),$D10+$CK10))",
+    "cached_value": 1500,
+    "pattern_id": "pf_0034"
+  },
+  {
+    "sheet": "Indvl Stmnts",
+    "col": "CL",
+    "row": 11,
+    "formula": "=IF($B11=0, 0, IF($CJ11<5000,((5000-$CJ11)+($D11+$CK11)),$D11+$CK11))",
+    "cached_value": 1500,
+    "pattern_id": "pf_0034"
+  },
+  {
+    "sheet": "Indvl Stmnts",
+    "col": "CL",
+    "row": 12,
+    "formula": "=IF($B12=0, 0, IF($CJ12<5000,((5000-$CJ12)+($D12+$CK12)),$D12+$CK12))",
+    "cached_value": 1500,
+    "pattern_id": "pf_0034"
+  },
+  {
+    "sheet": "Indvl Stmnts",
+    "col": "CL",
+    "row": 13,
+    "formula": "=IF($B13=0, 0, IF($CJ13<5000,((5000-$CJ13)+($D13+$CK13)),$D13+$CK13))",
+    "cached_value": 0,
+    "pattern_id": "pf_0034"
+  },
+  {
+    "sheet": "Indvl Stmnts",
+    "col": "CL",
+    "row": 14,
+    "formula": "=IF($B14=0, 0, IF($CJ14<5000,((5000-$CJ14)+($D14+$CK14)),$D14+$CK14))",
+    "cached_value": 0,
+    "pattern_id": "pf_0034"
+  },
+  {
+    "sheet": "Indvl Stmnts",
+    "col": "CL",
+    "row": 15,
+    "formula": "=IF($B15=0, 0, IF($CJ15<5000,((5000-$CJ15)+($D15+$CK15)),$D15+$CK15))",
+    "cached_value": 0,
+    "pattern_id": "pf_0034"
+  },
+  {
+    "sheet": "Indvl Stmnts",
+    "col": "CL",
+    "row": 16,
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+]

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00282/release_qc.json

@@ -0,0 +1,55 @@
+{
+  "binary": true,
+  "binary_reason": "CORRECT: the mask is clean and the dependency chain appears reconstructible from visible workbook structure, adjacent exemplars, headers, and transaction-sheet references.",
+  "D1": {
+    "score": 5,
+    "reason": "All 584 contract cells are truly masked, with no contract cells left unmasked and no extra masked cells outside the contract. The referenced ranges are within the actual Indvl Stmnts sheet dimensions. Visible same-pattern formulas exist in neighboring statement blocks, but they do not by themselves reduce the task to a single zero-reasoning copy operation because the chain spans monthly totals, per-unit transaction sums, opening/closing balances, and row-dependent zeroing."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The ground-truth CL formulas are consistent and deterministic: they depend on total monthly expenses/opening balance/monthly 2 BHK maintenance/late fee and use the same row-relative pattern throughout CL4:CL76. The shown cached values are consistent with the visible formula logic for representative rows, including zero output when monthly total B is zero."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL request clearly identifies the target sheet, target column, and exact range CL4:CL76. It gives relevant financial context, but it does not explicitly mention that prerequisite blank columns also need to be reconstructed, so the dependency-chain requirement is implicit rather than fully stated."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "Using only mask_last and the prompt, the task has sufficient root evidence but is difficult. Headers identify all masked columns, and visible neighboring statement blocks expose structural patterns such as maintenance due logic with the 5000 threshold, amount-paid SUMIFS against TR List, added-to-credit calculations, and closing/opening balance chaining. The prompt also points to transaction-level monthly data. A solver still must connect the masked columns in the right order and infer the monthly total/share layer, but there is no apparent missing hidden constant or impossible reference.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 5,
+    "reason": "The source workbook appears structurally sound: formulas are consistent across monthly rows and repeated unit statement blocks, headers are meaningful, and the dependency chain has no reported formula-chain errors or external-chain problems. Visible #N/A entries appear to be expected placeholders for missing transaction details rather than corruption."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The NL prompt reads like a realistic finance-workbook maintenance request, avoids benchmark jargon, and naturally describes the apartment maintenance close-out context."
+  },
+  "total": 28,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality hard chain-masked task: masking is clean, GT is consistent, NL identifies the target range, and the solver has enough visible structural evidence to reconstruct the chain despite substantial difficulty.",
+  "frontier_hardness": {
+    "score": 4,
+    "reason": "A frontier model would likely struggle because the task requires reconstructing a deep multi-column dependency chain over 584 masked cells, including cross-sheet SUMIF/SUMIFS logic, opening/closing balance recurrence, per-month zeroing, and multiple repeated but shifted statement-block patterns. The evidence is present, but coordinating all dependencies correctly is nontrivial.",
+    "fail_reason": "deep_chain",
+    "is_valid_hardness": true
+  },
+  "_prompt_chars": 315683,
+  "local_difficulty": {
+    "difficulty_score": 99.6,
+    "difficulty": "hard",
+    "depth": 5,
+    "total_masked": 584,
+    "is_cross_sheet": true,
+    "unique_patterns": 9,
+    "avg_complexity": 16,
+    "cross_refs": 365,
+    "visible_exemplar_ratio": 0.039
+  },
+  "task_id": "cross_sheet__dag_66fb9ec9e9c2",
+  "elapsed": 688.0,
+  "publish_decision": "YES",
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+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00282/target_contract.json

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+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00286/audit.json

@@ -0,0 +1,431 @@
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+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
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+          "pass": true,
+          "detail": "mask_last=49787B, src=72846B"
+        },
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+          "pass": true,
+          "detail": "0 dirty cells"
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+          "pass": true,
+          "detail": "ratio=4.9 (total=176, final=36)"
+        },
+        {
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+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "176 unique values across 176 cells"
+        },
+        {
+          "check": "tail_artifact",
+          "pass": true,
+          "detail": "0 bad values"
+        },
+        {
+          "check": "unrecoverable_leaf",
+          "pass": true,
+          "detail": "clean",
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+          "pass": true,
+          "detail": "clean"
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+          "detail": "volatile_cells=0",
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+        },
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+          "pass": true,
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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00286/layers.json

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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00286/nl_task.json

@@ -0,0 +1,26 @@
+{
+  "task_id": "cross_sheet__dag_9f92fc15a0f9",
+  "prompt_en": "The broiler ventilation workbook is laid out around the “Minimum Ventilation Rate : Broilers” table, with labels such as Shed No:, No. of Birds:, Fan Capacity:, Placement Date:, Age, Weight, Total Kgs, M3/Hr, Manual, Cycle, On Time, Off Time, and Days. On the “Shed-1” sheet, the entries under the “One” column in J8:J43 are blank and need to be filled in for the report to be complete. Some of the visible ventilation and cycle fields in the workbook rely on earlier entries being in place, so please make sure this “One” column is completed consistently with the surrounding sheet information. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "这个肉鸡通风工作簿围绕“Minimum Ventilation Rate : Broilers”表格整理，里面能看到 Shed No:、No. of Birds:、Fan Capacity:、Placement Date:、Age、Weight、Total Kgs、M3/Hr、Manual、Cycle、On Time、Off Time 和 Days 等标签。在“Shed-1”工作表中，“One”列的 J8:J43 目前是空白，需要补全，报告才算完整。工作簿里一些通风和循环相关字段需要前面的数据先填写好才有意义，所以请根据周围表格信息把这个“One”列补齐。请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt identifies the workbook context, target sheet, target column, and range without giving calculation or formula hints. It mentions the natural dependency context only generally and ends with the required .xlsx save instruction.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 4,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
+      "operation_words": 0,
+      "cell_range_density": 4,
+      "step_by_step": 0,
+      "column_operation_mapping": 0,
+      "formula_pattern_hints": 0
+    },
+    "operation_words_found": [],
+    "cell_ranges_found": 1
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+  "version": "v7",
+  "model": "gpt-5.5",
+  "elapsed": 38.1,
+  "attempt": 2
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00286/release_qc.json

@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "CORRECT — the mask is clean and the dependency chain is difficult but reconstructible from visible workbook structure, headers, neighboring values, and cross-sheet context.",
+  "D1": {
+    "score": 5,
+    "reason": "All 176 contract cells are truly masked, there are no phantom cells beyond the sheet range, no contract cells left unmasked, and no extra masked cells outside the contract. The diff summary is clean. Formula-cache loss is reported only for preserved formulas and should not be treated as additional masking. Visible exemplars/structural clues do not appear to make the task trivially copyable with zero reasoning."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The ground-truth layer-1 formulas in J8:J43 are consistent and deterministic: each row computes Off Time as cycle time in seconds minus the corresponding On Time value, with an Error pass-through. The shown cached values match the formula structure using J5=3 minutes and the row-specific I values. No inconsistency with the source context is evident."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL description clearly identifies the final target range, Shed-1!J8:J43 under the 'One' column, and gives relevant ventilation-table context. It is somewhat indirect about the simultaneously blank prerequisite cells, mentioning only that surrounding ventilation/cycle fields rely on earlier entries, so a solver must infer that the supporting chain also needs reconstruction."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "From mask_last.xlsx and the prompt, the task has substantial visible root evidence: meaningful headers identify Weight/Gms, Total Kgs/On Floor, MVR, Cycle %, On Time, Off Time, No. of Birds, Fan Capacity, and Cycle Time; visible constants such as J4=7000, J5=3, F5=3, E/G/H columns, and cached neighboring columns provide strong constraints. J3 can be inferred from visible B8 and C8, and many masked B values can be constrained from visible C values. D, L, I, and J can be reconstructed by chaining the visible table semantics and formulas/values in adjacent columns, with cross-sheet Information references available in the workbook. The main weakness is that the NL does not explicitly enumerate all prerequisite ranges, so the solver must infer the full chain from the visible blanks and workbook layout.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 5,
+    "reason": "The source spreadsheet appears structurally sound: headers are meaningful and consistent, formulas are coherent across rows, cross-sheet references point into the Information sheet, and there are no indicated circular references, corrupted values, or chain error cells. The ventilation-table data looks internally consistent."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The NL prompt sounds like a realistic workplace request about completing a broiler ventilation report. It avoids benchmark jargon and gives natural contextual labels from the workbook."
+  },
+  "total": 28,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality hard task: clean mask boundary, correct deterministic GT, realistic prompt, and a reconstructible but nontrivial multi-layer cross-sheet dependency chain. Minor prompt incompleteness around prerequisite blanks does not undermine publication.",
+  "frontier_hardness": {
+    "score": 4,
+    "reason": "This is a hard task for a frontier model because it requires reconstructing a five-layer dependency chain across 176 masked cells, including cross-sheet No. of Birds references and multiple interacting row-wise formulas for weight, MVR, ventilation fraction, on time, and off time. It is not trivially copyable, and the solver must reason through several columns simultaneously.",
+    "fail_reason": "deep_chain",
+    "is_valid_hardness": true
+  },
+  "_prompt_chars": 94111,
+  "_timing_load_workbooks": 0.78,
+  "_timing_context": 0.03,
+  "_timing_api": 58.4,
+  "local_difficulty": {
+    "difficulty_score": 97.5,
+    "difficulty": "hard",
+    "depth": 5,
+    "total_masked": 176,
+    "is_cross_sheet": true,
+    "unique_patterns": 7,
+    "avg_complexity": 15,
+    "cross_refs": 9,
+    "visible_exemplar_ratio": 0.143
+  },
+  "task_id": "cross_sheet__dag_9f92fc15a0f9",
+  "elapsed": 59.2,
+  "publish_decision": "YES",
+  "release_tier": "FRONTIER_HARD",
+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00286/target_contract.json

@@ -0,0 +1,287 @@
+{
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+    "formula_families": [
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+          "column": "B",
+          "column_header": "Gms",
+          "cell_range": "B9:B10, B15:B43",
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+          "cell_range": "J3",
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+          "rows": [
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+          "first_row_label": "",
+          "last_row_label": ""
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+      ],
+      "cell_count": 32
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+      "regions": [
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+          "column_header": "MVR",
+          "cell_range": "D8:D43",
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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00286/task_meta.json

@@ -0,0 +1,73 @@
+{
+  "fcb_id": "FCB-00286",
+  "task_id": "cross_sheet__dag_9f92fc15a0f9",
+  "tier": "T1_FRONTIER",
+  "category": "cross_sheet",
+  "depth": 5,
+  "total_masked": 176,
+  "is_cross_sheet": true,
+  "prompt_en": "The broiler ventilation workbook is laid out around the “Minimum Ventilation Rate : Broilers” table, with labels such as Shed No:, No. of Birds:, Fan Capacity:, Placement Date:, Age, Weight, Total Kgs, M3/Hr, Manual, Cycle, On Time, Off Time, and Days. On the “Shed-1” sheet, the entries under the “One” column in J8:J43 are blank and need to be filled in for the report to be complete. Some of the visible ventilation and cycle fields in the workbook rely on earlier entries being in place, so please make sure this “One” column is completed consistently with the surrounding sheet information. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "这个肉鸡通风工作簿围绕“Minimum Ventilation Rate : Broilers”表格整理，里面能看到 Shed No:、No. of Birds:、Fan Capacity:、Placement Date:、Age、Weight、Total Kgs、M3/Hr、Manual、Cycle、On Time、Off Time 和 Days 等标签。在“Shed-1”工作表中，“One”列的 J8:J43 目前是空白，需要补全，报告才算完整。工作簿里一些通风和循环相关字段需要前面的数据先填写好才有意义，所以请根据周围表格信息把这个“One”列补齐。请将完成后的工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 28,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 4,
+    "D4": 4,
+    "D5": 5,
+    "D6": 5,
+    "frontier_hardness": 4,
+    "local_difficulty": 97.5
+  },
+  "source_file_id": "182352d1348448399-getting-info-from-one-tab-to-another-as-per-date-day-copy-of-vent-matford",
+  "inferred_domain": "general",
+  "domain_confidence": 0.0,
+  "sheet_profiles": [
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+      "name": "Shed-1",
+      "used_range": "A1:BE45",
+      "row_count": 45,
+      "col_count": 57,
+      "has_header": false,
+      "title_hint": "Shed 1",
+      "header_info": null
+    },
+    {
+      "name": "Shed-2",
+      "used_range": "A1:BE45",
+      "row_count": 45,
+      "col_count": 57,
+      "has_header": false,
+      "title_hint": "Shed 2",
+      "header_info": null
+    },
+    {
+      "name": "Shed-3",
+      "used_range": "A1:BE45",
+      "row_count": 45,
+      "col_count": 57,
+      "has_header": false,
+      "title_hint": "Shed 3",
+      "header_info": null
+    },
+    {
+      "name": "Shed-4",
+      "used_range": "A1:BE45",
+      "row_count": 45,
+      "col_count": 57,
+      "has_header": false,
+      "title_hint": "Shed 4",
+      "header_info": null
+    },
+    {
+      "name": "Information",
+      "used_range": "A1:BL40",
+      "row_count": 40,
+      "col_count": 64,
+      "has_header": false,
+      "title_hint": "Information",
+      "header_info": null
+    }
+  ]
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00301/layers.json

@@ -0,0 +1,844 @@
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+  "surface_category": "single_sheet",
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+    "is_clean": true
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+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"IT\",$B$6:$B$13,\"Sep\")"
+        },
+        {
+          "region_ids": [
+            "rg_00039"
+          ],
+          "sheet": "New Hire 1",
+          "col": "D",
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+            25
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+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"IT\",[$B,$6]:[$B,$13],\"AUG\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"IT\",$B$6:$B$13,\"Aug\")"
+        },
+        {
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+            "rg_00042"
+          ],
+          "sheet": "New Hire 1",
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+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"IT\",[$B,$6]:[$B,$13],\"JUL\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"IT\",$B$6:$B$13,\"Jul\")"
+        },
+        {
+          "region_ids": [
+            "rg_00045"
+          ],
+          "sheet": "New Hire 1",
+          "col": "D",
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+            27
+          ],
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+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"IT\",[$B,$6]:[$B,$13],\"JUN\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"IT\",$B$6:$B$13,\"Jun\")"
+        },
+        {
+          "region_ids": [
+            "rg_00048"
+          ],
+          "sheet": "New Hire 1",
+          "col": "D",
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+            28
+          ],
+          "row_ranges": "28",
+          "row_count": 1,
+          "pattern_id": "pf_0039",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"IT\",[$B,$6]:[$B,$13],\"MAY\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"IT\",$B$6:$B$13,\"May\")"
+        },
+        {
+          "region_ids": [
+            "rg_00051"
+          ],
+          "sheet": "New Hire 1",
+          "col": "D",
+          "rows": [
+            29
+          ],
+          "row_ranges": "29",
+          "row_count": 1,
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+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"IT\",[$B,$6]:[$B,$13],\"APR\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"IT\",$B$6:$B$13,\"Apr\")"
+        },
+        {
+          "region_ids": [
+            "rg_00054"
+          ],
+          "sheet": "New Hire 1",
+          "col": "D",
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+            30
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+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"IT\",[$B,$6]:[$B,$13],\"MAR\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"IT\",$B$6:$B$13,\"Mar\")"
+        },
+        {
+          "region_ids": [
+            "rg_00057"
+          ],
+          "sheet": "New Hire 1",
+          "col": "D",
+          "rows": [
+            31
+          ],
+          "row_ranges": "31",
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+          "pattern_id": "pf_0048",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"IT\",[$B,$6]:[$B,$13],\"FEB\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"IT\",$B$6:$B$13,\"Feb\")"
+        },
+        {
+          "region_ids": [
+            "rg_00060"
+          ],
+          "sheet": "New Hire 1",
+          "col": "D",
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+            32
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+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"IT\",[$B,$6]:[$B,$13],\"JAN\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"IT\",$B$6:$B$13,\"Jan\")"
+        },
+        {
+          "region_ids": [
+            "rg_00028"
+          ],
+          "sheet": "New Hire 1",
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+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"AF\",[$B,$6]:[$B,$13],\"DEC\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Dec\")"
+        },
+        {
+          "region_ids": [
+            "rg_00031"
+          ],
+          "sheet": "New Hire 1",
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+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"AF\",[$B,$6]:[$B,$13],\"NOV\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Nov\")"
+        },
+        {
+          "region_ids": [
+            "rg_00034"
+          ],
+          "sheet": "New Hire 1",
+          "col": "G",
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+            23
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+          "row_ranges": "23",
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+          "pattern_id": "pf_0025",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"AF\",[$B,$6]:[$B,$13],\"OCT\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Oct\")"
+        },
+        {
+          "region_ids": [
+            "rg_00037"
+          ],
+          "sheet": "New Hire 1",
+          "col": "G",
+          "rows": [
+            24
+          ],
+          "row_ranges": "24",
+          "row_count": 1,
+          "pattern_id": "pf_0028",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"AF\",[$B,$6]:[$B,$13],\"SEP\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Sep\")"
+        },
+        {
+          "region_ids": [
+            "rg_00040"
+          ],
+          "sheet": "New Hire 1",
+          "col": "G",
+          "rows": [
+            25
+          ],
+          "row_ranges": "25",
+          "row_count": 1,
+          "pattern_id": "pf_0031",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"AF\",[$B,$6]:[$B,$13],\"AUG\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Aug\")"
+        },
+        {
+          "region_ids": [
+            "rg_00043"
+          ],
+          "sheet": "New Hire 1",
+          "col": "G",
+          "rows": [
+            26
+          ],
+          "row_ranges": "26",
+          "row_count": 1,
+          "pattern_id": "pf_0034",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"AF\",[$B,$6]:[$B,$13],\"JUL\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Jul\")"
+        },
+        {
+          "region_ids": [
+            "rg_00046"
+          ],
+          "sheet": "New Hire 1",
+          "col": "G",
+          "rows": [
+            27
+          ],
+          "row_ranges": "27",
+          "row_count": 1,
+          "pattern_id": "pf_0037",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"AF\",[$B,$6]:[$B,$13],\"JUN\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Jun\")"
+        },
+        {
+          "region_ids": [
+            "rg_00049"
+          ],
+          "sheet": "New Hire 1",
+          "col": "G",
+          "rows": [
+            28
+          ],
+          "row_ranges": "28",
+          "row_count": 1,
+          "pattern_id": "pf_0040",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"AF\",[$B,$6]:[$B,$13],\"MAY\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"May\")"
+        },
+        {
+          "region_ids": [
+            "rg_00052"
+          ],
+          "sheet": "New Hire 1",
+          "col": "G",
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+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"AF\",[$B,$6]:[$B,$13],\"APR\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Apr\")"
+        },
+        {
+          "region_ids": [
+            "rg_00055"
+          ],
+          "sheet": "New Hire 1",
+          "col": "G",
+          "rows": [
+            30
+          ],
+          "row_ranges": "30",
+          "row_count": 1,
+          "pattern_id": "pf_0046",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"AF\",[$B,$6]:[$B,$13],\"MAR\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Mar\")"
+        },
+        {
+          "region_ids": [
+            "rg_00058"
+          ],
+          "sheet": "New Hire 1",
+          "col": "G",
+          "rows": [
+            31
+          ],
+          "row_ranges": "31",
+          "row_count": 1,
+          "pattern_id": "pf_0049",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"AF\",[$B,$6]:[$B,$13],\"FEB\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Feb\")"
+        },
+        {
+          "region_ids": [
+            "rg_00061"
+          ],
+          "sheet": "New Hire 1",
+          "col": "G",
+          "rows": [
+            32
+          ],
+          "row_ranges": "32",
+          "row_count": 1,
+          "pattern_id": "pf_0052",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"AF\",[$B,$6]:[$B,$13],\"JAN\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Jan\")"
+        },
+        {
+          "region_ids": [
+            "rg_00029"
+          ],
+          "sheet": "New Hire 1",
+          "col": "J",
+          "rows": [
+            21
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+          "row_ranges": "21",
+          "row_count": 1,
+          "pattern_id": "pf_0020",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"FS\",[$B,$6]:[$B,$13],\"DEC\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Dec\")"
+        },
+        {
+          "region_ids": [
+            "rg_00032"
+          ],
+          "sheet": "New Hire 1",
+          "col": "J",
+          "rows": [
+            22
+          ],
+          "row_ranges": "22",
+          "row_count": 1,
+          "pattern_id": "pf_0023",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"FS\",[$B,$6]:[$B,$13],\"NOV\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Nov\")"
+        },
+        {
+          "region_ids": [
+            "rg_00035"
+          ],
+          "sheet": "New Hire 1",
+          "col": "J",
+          "rows": [
+            23
+          ],
+          "row_ranges": "23",
+          "row_count": 1,
+          "pattern_id": "pf_0026",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"FS\",[$B,$6]:[$B,$13],\"OCT\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Oct\")"
+        },
+        {
+          "region_ids": [
+            "rg_00038"
+          ],
+          "sheet": "New Hire 1",
+          "col": "J",
+          "rows": [
+            24
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+          "row_ranges": "24",
+          "row_count": 1,
+          "pattern_id": "pf_0029",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"FS\",[$B,$6]:[$B,$13],\"SEP\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Sep\")"
+        },
+        {
+          "region_ids": [
+            "rg_00041"
+          ],
+          "sheet": "New Hire 1",
+          "col": "J",
+          "rows": [
+            25
+          ],
+          "row_ranges": "25",
+          "row_count": 1,
+          "pattern_id": "pf_0032",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"FS\",[$B,$6]:[$B,$13],\"AUG\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Aug\")"
+        },
+        {
+          "region_ids": [
+            "rg_00044"
+          ],
+          "sheet": "New Hire 1",
+          "col": "J",
+          "rows": [
+            26
+          ],
+          "row_ranges": "26",
+          "row_count": 1,
+          "pattern_id": "pf_0035",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"FS\",[$B,$6]:[$B,$13],\"JUL\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Jul\")"
+        },
+        {
+          "region_ids": [
+            "rg_00047"
+          ],
+          "sheet": "New Hire 1",
+          "col": "J",
+          "rows": [
+            27
+          ],
+          "row_ranges": "27",
+          "row_count": 1,
+          "pattern_id": "pf_0038",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"FS\",[$B,$6]:[$B,$13],\"JUN\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Jun\")"
+        },
+        {
+          "region_ids": [
+            "rg_00050"
+          ],
+          "sheet": "New Hire 1",
+          "col": "J",
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+            28
+          ],
+          "row_ranges": "28",
+          "row_count": 1,
+          "pattern_id": "pf_0041",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"FS\",[$B,$6]:[$B,$13],\"MAY\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"May\")"
+        },
+        {
+          "region_ids": [
+            "rg_00053"
+          ],
+          "sheet": "New Hire 1",
+          "col": "J",
+          "rows": [
+            29
+          ],
+          "row_ranges": "29",
+          "row_count": 1,
+          "pattern_id": "pf_0044",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"FS\",[$B,$6]:[$B,$13],\"APR\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Apr\")"
+        },
+        {
+          "region_ids": [
+            "rg_00056"
+          ],
+          "sheet": "New Hire 1",
+          "col": "J",
+          "rows": [
+            30
+          ],
+          "row_ranges": "30",
+          "row_count": 1,
+          "pattern_id": "pf_0047",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"FS\",[$B,$6]:[$B,$13],\"MAR\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Mar\")"
+        },
+        {
+          "region_ids": [
+            "rg_00059"
+          ],
+          "sheet": "New Hire 1",
+          "col": "J",
+          "rows": [
+            31
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+          "row_ranges": "31",
+          "row_count": 1,
+          "pattern_id": "pf_0050",
+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"FS\",[$B,$6]:[$B,$13],\"FEB\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Feb\")"
+        },
+        {
+          "region_ids": [
+            "rg_00062"
+          ],
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+          "normalized_pattern": "=SUMIFS([$M,$6]:[$M,$13],[$A,$6]:[$A,$13],\"FS\",[$B,$6]:[$B,$13],\"JAN\")",
+          "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Jan\")"
+        }
+      ],
+      "new_eval_cells": 36,
+      "total_masked_cells": 120
+    },
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+      "new_pattern_groups": [
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+            "rg_00014"
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+          "rows": [
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13
+          ],
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+          "row_count": 8,
+          "pattern_id": "pf_0012",
+          "normalized_pattern": "=[C-3,R]*[C-1,R]*[C-2,R]",
+          "sample_formula": "=J6*L6*K6"
+        }
+      ],
+      "new_eval_cells": 8,
+      "total_masked_cells": 128
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00011",
+    "sheet": "New Hire 1",
+    "col": "S",
+    "pattern_id": "pf_0009",
+    "row_count": 12,
+    "family_size": 12
+  }
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00301/nl_task.json

@@ -0,0 +1,26 @@
+{
+  "task_id": "single_sheet__dag_27c89f4dca48",
+  "prompt_en": "The CONTRACT COMMISSIONS worksheet for New Hire 1 tracks class-related commission information with labels like Class, Month, and Client Billed. Please complete the blank entries in the YTD Commission column on the New Hire 1 sheet, specifically S21:S32. Some monthly commission details in the sheet need to be in place before the YTD Commission entries are meaningful, so make sure the related blank commission fields are completed consistently with the visible records. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "New Hire 1 工作表中的 CONTRACT COMMISSIONS 区域在跟踪与课程相关的佣金信息，表里能看到 Class、Month、Client Billed 等标签。请补全 New Hire 1 工作表中 YTD Commission 列的空白项，位置是 S21:S32。表中的一些月度佣金明细需要先补齐，YTD Commission 这些条目才有意义，因此请确保相关的空白佣金字段与可见记录保持一致。完成后请将工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt identifies the workbook context, target sheet, target column, and range while avoiding formulas, explicit operations, or answer values. It mentions the prerequisite relationship only in broad business terms.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 4,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
+      "operation_words": 0,
+      "cell_range_density": 4,
+      "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": 11.3,
+  "attempt": 1
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00301/task_meta.json

@@ -0,0 +1,37 @@
+{
+  "fcb_id": "FCB-00301",
+  "task_id": "single_sheet__dag_27c89f4dca48",
+  "tier": "T1_FRONTIER",
+  "category": "single_sheet",
+  "depth": 5,
+  "total_masked": 128,
+  "is_cross_sheet": false,
+  "prompt_en": "The CONTRACT COMMISSIONS worksheet for New Hire 1 tracks class-related commission information with labels like Class, Month, and Client Billed. Please complete the blank entries in the YTD Commission column on the New Hire 1 sheet, specifically S21:S32. Some monthly commission details in the sheet need to be in place before the YTD Commission entries are meaningful, so make sure the related blank commission fields are completed consistently with the visible records. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "New Hire 1 工作表中的 CONTRACT COMMISSIONS 区域在跟踪与课程相关的佣金信息，表里能看到 Class、Month、Client Billed 等标签。请补全 New Hire 1 工作表中 YTD Commission 列的空白项，位置是 S21:S32。表中的一些月度佣金明细需要先补齐，YTD Commission 这些条目才有意义，因此请确保相关的空白佣金字段与可见记录保持一致。完成后请将工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 28,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 4,
+    "D4": 4,
+    "D5": 5,
+    "D6": 5,
+    "frontier_hardness": 4,
+    "local_difficulty": 72.2
+  },
+  "source_file_id": "93741d1293497603-commission-calculation-using-sumifs-commissionlookup",
+  "inferred_domain": "education",
+  "domain_confidence": 0.25,
+  "sheet_profiles": [
+    {
+      "name": "New Hire 1",
+      "used_range": "A1:X46",
+      "row_count": 46,
+      "col_count": 24,
+      "has_header": false,
+      "title_hint": "New Hire 1",
+      "header_info": null
+    }
+  ]
+}