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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01955/audit.json

@@ -0,0 +1,411 @@
+{
+  "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 7 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=70722B, src=93160B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=2.0 (total=14, final=7)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "11 unique values across 14 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=2, prompt=6, 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=['Power West Price Peak'], 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 7 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": "referenced=1 mentioned=1 missing=0",
+          "severity": "OK"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 1 col groups"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": true,
+          "detail": "GT funcs: ['AVERAGE']",
+          "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 14 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": 14,
+      "total_non_none": 14,
+      "block_reasons": [],
+      "warnings": [
+        "mixed_gt_types:{'int': 2, 'float': 12}"
+      ],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
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+            "float": 12
+          },
+          "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": 14
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 14,
+      "total_masked": 14,
+      "total_visible": 4889,
+      "depth": 2,
+      "block_reasons": [],
+      "warnings": [],
+      "checks": {
+        "broken_chains": {
+          "count": 0,
+          "checked": 14,
+          "details": []
+        },
+        "orphan_masks": {
+          "count": 0,
+          "details": []
+        },
+        "self_contained": {
+          "missing_sheets": []
+        }
+      }
+    },
+    "exemplar": {
+      "soft_block": false,
+      "block_reasons": [],
+      "checks": {
+        "pattern_coverage": {
+          "pass": true,
+          "total_gt_patterns": 2,
+          "total_src_patterns": 9,
+          "zero_exemplar_count": 0,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "AVERAGE": {
+            "total_masked": 7,
+            "visible_exemplars": 189
+          },
+          "arithmetic": {
+            "total_masked": 7,
+            "visible_exemplars": 936
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.0,
+      "flags": []
+    },
+    "release_audit": {
+      "surface_single_sheet": true,
+      "surface_sheets": [
+        "Power West Price Peak"
+      ],
+      "cross_sheet_actual": true,
+      "cross_sheet_ref_count": 210,
+      "referenced_sheets": [
+        "P2"
+      ],
+      "target_shape": "summary_block",
+      "layer_sizes": [
+        7,
+        7
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+      "mask_last_total_cells": 14,
+      "layer_growth_ratios": [
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+      "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": 0.92,
+      "release_reasons": [
+        "cross_sheet_metadata_mismatch"
+      ],
+      "release_verdict": "KEEP_WITH_FIXES"
+    }
+  },
+  "difficulty": {
+    "task_id": "cross_sheet__dag_9258c3c3fe22",
+    "difficulty_score": 59.7,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 14,
+    "is_cross_sheet": true,
+    "unique_patterns": 2,
+    "avg_complexity": 32.0,
+    "cross_refs": 70,
+    "visible_exemplar_ratio": 0.588,
+    "score_breakdown": {
+      "depth": 7,
+      "cross_sheet": 10,
+      "cell_count": 7.6,
+      "patterns": 6,
+      "complexity": 15,
+      "cross_refs": 10,
+      "vis_penalty": 4.1
+    }
+  }
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01955/ground_truth_full.json

@@ -0,0 +1,128 @@
+[
+  {
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+    "col": "S",
+    "row": 15,
+    "formula": "=S4-S26",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 1
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+  {
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+    "col": "S",
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+    "formula": "=S5-S27",
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+    "pattern_id": "pf_0002",
+    "layer": 1
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+    "sheet": "Power West Price Peak",
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+    "formula": "=S6-S28",
+    "cached_value": 0.6666666666666643,
+    "pattern_id": "pf_0002",
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+  {
+    "sheet": "Power West Price Peak",
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+    "formula": "=S7-S29",
+    "cached_value": 0.8633333333333333,
+    "pattern_id": "pf_0002",
+    "layer": 1
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+    "layer": 1
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+  {
+    "sheet": "Power West Price Peak",
+    "col": "S",
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+    "formula": "=S9-S31",
+    "cached_value": 1.6650705092659308,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Power West Price Peak",
+    "col": "S",
+    "row": 21,
+    "formula": "=S10-S32",
+    "cached_value": 1.6650705092659308,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
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+    "sheet": "Power West Price Peak",
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+    "layer": 2
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+  {
+    "sheet": "Power West Price Peak",
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+    "formula": "=AVERAGE('P2'!BG6:BI6,'P2'!BS6:BU6,'P2'!CE6:CG6,'P2'!CQ6:CS6,'P2'!DC6:DE6,'P2'!DO6:DQ6,'P2'!EA6:EC6,'P2'!EM6:EO6,'P2'!EY6:FA6,'P2'!FK6:FM6)",
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+  {
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+    "formula": "=AVERAGE('P2'!BG8:BI8,'P2'!BS8:BU8,'P2'!CE8:CG8,'P2'!CQ8:CS8,'P2'!DC8:DE8,'P2'!DO8:DQ8,'P2'!EA8:EC8,'P2'!EM8:EO8,'P2'!EY8:FA8,'P2'!FK8:FM8)",
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+    "pattern_id": "pf_0070",
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+    "cached_value": 31.251666666666672,
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+  {
+    "sheet": "Power West Price Peak",
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+    "formula": "=AVERAGE('P2'!BG12:BI12,'P2'!BS12:BU12,'P2'!CE12:CG12,'P2'!CQ12:CS12,'P2'!DC12:DE12,'P2'!DO12:DQ12,'P2'!EA12:EC12,'P2'!EM12:EO12,'P2'!EY12:FA12,'P2'!FK12:FM12)",
+    "cached_value": 32.92550449712469,
+    "pattern_id": "pf_0096",
+    "layer": 2
+  },
+  {
+    "sheet": "Power West Price Peak",
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+    "row": 9,
+    "formula": "=AVERAGE('P2'!BG14:BI14,'P2'!BS14:BU14,'P2'!CE14:CG14,'P2'!CQ14:CS14,'P2'!DC14:DE14,'P2'!DO14:DQ14,'P2'!EA14:EC14,'P2'!EM14:EO14,'P2'!EY14:FA14,'P2'!FK14:FM14)",
+    "cached_value": 37.33149019484667,
+    "pattern_id": "pf_0109",
+    "layer": 2
+  },
+  {
+    "sheet": "Power West Price Peak",
+    "col": "S",
+    "row": 10,
+    "formula": "=AVERAGE('P2'!BG16:BI16,'P2'!BS16:BU16,'P2'!CE16:CG16,'P2'!CQ16:CS16,'P2'!DC16:DE16,'P2'!DO16:DQ16,'P2'!EA16:EC16,'P2'!EM16:EO16,'P2'!EY16:FA16,'P2'!FK16:FM16)",
+    "cached_value": 37.33149019484667,
+    "pattern_id": "pf_0122",
+    "layer": 2
+  }
+]

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01955/ground_truth_target.json

@@ -0,0 +1,58 @@
+[
+  {
+    "sheet": "Power West Price Peak",
+    "col": "S",
+    "row": 15,
+    "formula": "=S4-S26",
+    "cached_value": 0,
+    "pattern_id": "pf_0002"
+  },
+  {
+    "sheet": "Power West Price Peak",
+    "col": "S",
+    "row": 16,
+    "formula": "=S5-S27",
+    "cached_value": 0,
+    "pattern_id": "pf_0002"
+  },
+  {
+    "sheet": "Power West Price Peak",
+    "col": "S",
+    "row": 17,
+    "formula": "=S6-S28",
+    "cached_value": 0.6666666666666643,
+    "pattern_id": "pf_0002"
+  },
+  {
+    "sheet": "Power West Price Peak",
+    "col": "S",
+    "row": 18,
+    "formula": "=S7-S29",
+    "cached_value": 0.8633333333333333,
+    "pattern_id": "pf_0002"
+  },
+  {
+    "sheet": "Power West Price Peak",
+    "col": "S",
+    "row": 19,
+    "formula": "=S8-S30",
+    "cached_value": 1.3333333333333321,
+    "pattern_id": "pf_0002"
+  },
+  {
+    "sheet": "Power West Price Peak",
+    "col": "S",
+    "row": 20,
+    "formula": "=S9-S31",
+    "cached_value": 1.6650705092659308,
+    "pattern_id": "pf_0002"
+  },
+  {
+    "sheet": "Power West Price Peak",
+    "col": "S",
+    "row": 21,
+    "formula": "=S10-S32",
+    "cached_value": 1.6650705092659308,
+    "pattern_id": "pf_0002"
+  }
+]

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01955/layers.json

@@ -0,0 +1,163 @@
+{
+  "dag_id": "dag_9258c3c3fe22",
+  "file_id": "matthew_lenhart__26364__West Prices0601-01",
+  "category": "cross_sheet",
+  "surface_category": "single_sheet",
+  "effective_category": "cross_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_00058"
+          ],
+          "sheet": "Power West Price Peak",
+          "col": "S",
+          "rows": [
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21
+          ],
+          "row_ranges": "15-21",
+          "row_count": 7,
+          "pattern_id": "pf_0002",
+          "normalized_pattern": "=[C,R-11]-[C,R+11]",
+          "sample_formula": "=S4-S26"
+        }
+      ],
+      "new_eval_cells": 7,
+      "total_masked_cells": 7
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00198"
+          ],
+          "sheet": "Power West Price Peak",
+          "col": "S",
+          "rows": [
+            4
+          ],
+          "row_ranges": "4",
+          "row_count": 1,
+          "pattern_id": "pf_0044",
+          "normalized_pattern": "=AVERAGE('P2'![C+40,R]:[C+42,R],'P2'![C+52,R]:[C+54,R],'P2'![C+64,R]:[C+66,R],'P2'![C+76,R]:[C+78,R],'P2'![C+88,R]:[C+90,R],'P2'![C+100,R]:[C+102,R],'P2'![C+112,R]:[C+114,R],'P2'![C+124,R]:[C+126,R],'P2'![C+136,R]:[C+138,R],'P2'![C+148,R]:[C+150,R])",
+          "sample_formula": "=AVERAGE('P2'!BG4:BI4,'P2'!BS4:BU4,'P2'!CE4:CG4,'P2'!CQ4:CS4,'P2'!DC4:DE4,'P2'!DO4:DQ4,'P2'!EA4:EC4,'P2'!EM4:EO4,'P2'!EY4:FA4,'P2'!FK4:FM4)"
+        },
+        {
+          "region_ids": [
+            "rg_00211"
+          ],
+          "sheet": "Power West Price Peak",
+          "col": "S",
+          "rows": [
+            5
+          ],
+          "row_ranges": "5",
+          "row_count": 1,
+          "pattern_id": "pf_0057",
+          "normalized_pattern": "=AVERAGE('P2'![C+40,R+1]:[C+42,R+1],'P2'![C+52,R+1]:[C+54,R+1],'P2'![C+64,R+1]:[C+66,R+1],'P2'![C+76,R+1]:[C+78,R+1],'P2'![C+88,R+1]:[C+90,R+1],'P2'![C+100,R+1]:[C+102,R+1],'P2'![C+112,R+1]:[C+114,R+1],'P2'![C+124,R+1]:[C+126,R+1],'P2'![C+136,R+1]:[C+138,R+1],'P2'![C+148,R+1]:[C+150,R+1])",
+          "sample_formula": "=AVERAGE('P2'!BG6:BI6,'P2'!BS6:BU6,'P2'!CE6:CG6,'P2'!CQ6:CS6,'P2'!DC6:DE6,'P2'!DO6:DQ6,'P2'!EA6:EC6,'P2'!EM6:EO6,'P2'!EY6:FA6,'P2'!FK6:FM6)"
+        },
+        {
+          "region_ids": [
+            "rg_00224"
+          ],
+          "sheet": "Power West Price Peak",
+          "col": "S",
+          "rows": [
+            6
+          ],
+          "row_ranges": "6",
+          "row_count": 1,
+          "pattern_id": "pf_0070",
+          "normalized_pattern": "=AVERAGE('P2'![C+40,R+2]:[C+42,R+2],'P2'![C+52,R+2]:[C+54,R+2],'P2'![C+64,R+2]:[C+66,R+2],'P2'![C+76,R+2]:[C+78,R+2],'P2'![C+88,R+2]:[C+90,R+2],'P2'![C+100,R+2]:[C+102,R+2],'P2'![C+112,R+2]:[C+114,R+2],'P2'![C+124,R+2]:[C+126,R+2],'P2'![C+136,R+2]:[C+138,R+2],'P2'![C+148,R+2]:[C+150,R+2])",
+          "sample_formula": "=AVERAGE('P2'!BG8:BI8,'P2'!BS8:BU8,'P2'!CE8:CG8,'P2'!CQ8:CS8,'P2'!DC8:DE8,'P2'!DO8:DQ8,'P2'!EA8:EC8,'P2'!EM8:EO8,'P2'!EY8:FA8,'P2'!FK8:FM8)"
+        },
+        {
+          "region_ids": [
+            "rg_00237"
+          ],
+          "sheet": "Power West Price Peak",
+          "col": "S",
+          "rows": [
+            7
+          ],
+          "row_ranges": "7",
+          "row_count": 1,
+          "pattern_id": "pf_0083",
+          "normalized_pattern": "=AVERAGE('P2'![C+40,R+3]:[C+42,R+3],'P2'![C+52,R+3]:[C+54,R+3],'P2'![C+64,R+3]:[C+66,R+3],'P2'![C+76,R+3]:[C+78,R+3],'P2'![C+88,R+3]:[C+90,R+3],'P2'![C+100,R+3]:[C+102,R+3],'P2'![C+112,R+3]:[C+114,R+3],'P2'![C+124,R+3]:[C+126,R+3],'P2'![C+136,R+3]:[C+138,R+3],'P2'![C+148,R+3]:[C+150,R+3])",
+          "sample_formula": "=AVERAGE('P2'!BG10:BI10,'P2'!BS10:BU10,'P2'!CE10:CG10,'P2'!CQ10:CS10,'P2'!DC10:DE10,'P2'!DO10:DQ10,'P2'!EA10:EC10,'P2'!EM10:EO10,'P2'!EY10:FA10,'P2'!FK10:FM10)"
+        },
+        {
+          "region_ids": [
+            "rg_00250"
+          ],
+          "sheet": "Power West Price Peak",
+          "col": "S",
+          "rows": [
+            8
+          ],
+          "row_ranges": "8",
+          "row_count": 1,
+          "pattern_id": "pf_0096",
+          "normalized_pattern": "=AVERAGE('P2'![C+40,R+4]:[C+42,R+4],'P2'![C+52,R+4]:[C+54,R+4],'P2'![C+64,R+4]:[C+66,R+4],'P2'![C+76,R+4]:[C+78,R+4],'P2'![C+88,R+4]:[C+90,R+4],'P2'![C+100,R+4]:[C+102,R+4],'P2'![C+112,R+4]:[C+114,R+4],'P2'![C+124,R+4]:[C+126,R+4],'P2'![C+136,R+4]:[C+138,R+4],'P2'![C+148,R+4]:[C+150,R+4])",
+          "sample_formula": "=AVERAGE('P2'!BG12:BI12,'P2'!BS12:BU12,'P2'!CE12:CG12,'P2'!CQ12:CS12,'P2'!DC12:DE12,'P2'!DO12:DQ12,'P2'!EA12:EC12,'P2'!EM12:EO12,'P2'!EY12:FA12,'P2'!FK12:FM12)"
+        },
+        {
+          "region_ids": [
+            "rg_00263"
+          ],
+          "sheet": "Power West Price Peak",
+          "col": "S",
+          "rows": [
+            9
+          ],
+          "row_ranges": "9",
+          "row_count": 1,
+          "pattern_id": "pf_0109",
+          "normalized_pattern": "=AVERAGE('P2'![C+40,R+5]:[C+42,R+5],'P2'![C+52,R+5]:[C+54,R+5],'P2'![C+64,R+5]:[C+66,R+5],'P2'![C+76,R+5]:[C+78,R+5],'P2'![C+88,R+5]:[C+90,R+5],'P2'![C+100,R+5]:[C+102,R+5],'P2'![C+112,R+5]:[C+114,R+5],'P2'![C+124,R+5]:[C+126,R+5],'P2'![C+136,R+5]:[C+138,R+5],'P2'![C+148,R+5]:[C+150,R+5])",
+          "sample_formula": "=AVERAGE('P2'!BG14:BI14,'P2'!BS14:BU14,'P2'!CE14:CG14,'P2'!CQ14:CS14,'P2'!DC14:DE14,'P2'!DO14:DQ14,'P2'!EA14:EC14,'P2'!EM14:EO14,'P2'!EY14:FA14,'P2'!FK14:FM14)"
+        },
+        {
+          "region_ids": [
+            "rg_00276"
+          ],
+          "sheet": "Power West Price Peak",
+          "col": "S",
+          "rows": [
+            10
+          ],
+          "row_ranges": "10",
+          "row_count": 1,
+          "pattern_id": "pf_0122",
+          "normalized_pattern": "=AVERAGE('P2'![C+40,R+6]:[C+42,R+6],'P2'![C+52,R+6]:[C+54,R+6],'P2'![C+64,R+6]:[C+66,R+6],'P2'![C+76,R+6]:[C+78,R+6],'P2'![C+88,R+6]:[C+90,R+6],'P2'![C+100,R+6]:[C+102,R+6],'P2'![C+112,R+6]:[C+114,R+6],'P2'![C+124,R+6]:[C+126,R+6],'P2'![C+136,R+6]:[C+138,R+6],'P2'![C+148,R+6]:[C+150,R+6])",
+          "sample_formula": "=AVERAGE('P2'!BG16:BI16,'P2'!BS16:BU16,'P2'!CE16:CG16,'P2'!CQ16:CS16,'P2'!DC16:DE16,'P2'!DO16:DQ16,'P2'!EA16:EC16,'P2'!EM16:EO16,'P2'!EY16:FA16,'P2'!FK16:FM16)"
+        }
+      ],
+      "new_eval_cells": 7,
+      "total_masked_cells": 14
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00058",
+    "sheet": "Power West Price Peak",
+    "col": "S",
+    "pattern_id": "pf_0002",
+    "row_count": 7,
+    "family_size": 7
+  }
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01955/nl_task.json

@@ -0,0 +1,26 @@
+{
+  "task_id": "cross_sheet__dag_9258c3c3fe22",
+  "prompt_en": "The \"Power West Price Peak\" sheet is part of our engineering price compilation for western power hubs, with row labels such as MID-COLUMBIA, COB, NP15, ZP26, SP15, Palo Verde, and ROCKIES and columns including Peak, Off-Peak, Q4-01, Cal-01, and Q1-02. Please fill in the blank entries in the Q1 column on that sheet, specifically cells S15:S21. Some related blank columns in the workbook feed into these quarterly price entries, so make sure the supporting entries are in place before finalizing the Q1 column. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "“Power West Price Peak” 工作表是我们工程价格资料整理的一部分，里面按西部电力节点列出数据，行标签包括 MID-COLUMBIA、COB、NP15、ZP26、SP15、Palo Verde 和 ROCKIES，列里也能看到 Peak、Off-Peak、Q4-01、Cal-01、Q1-02 等字段。请把这个工作表中 Q1 列的空白项补完整，位置是 S15:S21。工作簿里有些相关的空白列会影响这些季度价格项，因此在确认 Q1 列之前，请先确保相关的基础项已经补好。完成后请将工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt is minimal and scenario-based, names the relevant sheet and target range, mentions visible labels for orientation, and avoids formulas or operational hints. It also notes the natural prerequisite relationship without describing a dependency chain.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 9,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
+      "operation_words": 0,
+      "cell_range_density": 9,
+      "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": 19.6,
+  "attempt": 1
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01955/release_qc.json

@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "CORRECT: clean chain mask with real cells, valid GT, and sufficient visible structural evidence to reconstruct both masked formula patterns.",
+  "D1": {
+    "score": 5,
+    "reason": "All 14 contract cells are real cells within the sheet range and are truly masked. The mask boundary is clean with no extra masked cells and no contract cells left unmasked. Visible neighboring formulas provide expected structural clues, but they do not reduce the whole task to zero-reasoning copy/paste because the solver must also reconstruct the masked Q1 prerequisite formulas from adjacent quarter patterns and cross-sheet references."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The listed layer-1 formulas are consistent with the surrounding formula structure in src.xlsx: S15:S21 subtract the corresponding lower block values S26:S32 from the prerequisite Q1 values S4:S10. The cached values align with those formulas, and the formulas are deterministic with no volatile or ambiguous behavior."
+  },
+  "D3": {
+    "score": 5,
+    "reason": "The NL description clearly identifies the target sheet, the Q1 column, and the exact final cells S15:S21 to fill. It also warns that related blank supporting entries feed into the quarterly values, which is appropriate for the depth-2 chain design."
+  },
+  "D4": {
+    "score": 5,
+    "reason": "Using only mask_last.xlsx and the NL prompt, the task is reconstructible. The final S15:S21 pattern is visible from adjacent columns in the same rows, e.g. K15:W21 formulas show the row-wise subtraction structure. The prerequisite S4:S10 formulas can be inferred from the visible Q1/Q2/Q3/Q4 headers and adjacent T:V formulas, plus the broader P2 reference pattern across neighboring columns. Cross-sheet references are visible in adjacent formulas, and the NL prompt indicates that supporting blank entries must be filled before finalizing S15:S21.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 4,
+    "reason": "The relevant source data and formulas for this task appear sound, deterministic, and internally consistent. The target and referenced P2 ranges are within workbook bounds. There are some #REF! indicators in unrelated Tim sheets according to the overview, so the broader workbook is not perfectly clean, but these do not appear to affect this task’s dependency chain."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The NL prompt reads like a realistic workplace instruction about completing an engineering price compilation. It avoids benchmark jargon while giving enough operational detail."
+  },
+  "total": 29,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality task: clean masking, correct GT, clear prompt, and sufficient visible evidence for a nontrivial but solvable cross-sheet dependency chain.",
+  "frontier_hardness": {
+    "score": 3,
+    "reason": "This is moderately hard because the solver must reconstruct a two-pattern chain: final local subtraction formulas and prerequisite Q1 formulas with long cross-sheet P2 average ranges. However, adjacent-quarter and adjacent-column exemplars provide strong evidence, so a frontier model with spreadsheet reasoning could likely solve it with care.",
+    "fail_reason": "cross_sheet_multi_hop",
+    "is_valid_hardness": true
+  },
+  "_prompt_chars": 39139,
+  "_timing_load_workbooks": 0.39,
+  "_timing_context": 0.11,
+  "_timing_api": 29.52,
+  "local_difficulty": {
+    "difficulty_score": 59.7,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 14,
+    "is_cross_sheet": true,
+    "unique_patterns": 2,
+    "avg_complexity": 32,
+    "cross_refs": 70,
+    "visible_exemplar_ratio": 0.588
+  },
+  "task_id": "cross_sheet__dag_9258c3c3fe22",
+  "elapsed": 30.0,
+  "publish_decision": "YES",
+  "release_tier": "GOLD",
+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01955/target_contract.json

@@ -0,0 +1,63 @@
+{
+  "task_id": "cross_sheet__dag_9258c3c3fe22",
+  "category": "cross_sheet",
+  "depth": 2,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "Power West Price Peak",
+        "column": "S",
+        "column_header": "Q1",
+        "cell_range": "S15:S21",
+        "cell_count": 7,
+        "rows": [
+          15,
+          16,
+          17,
+          18,
+          19,
+          20,
+          21
+        ],
+        "first_row_label": "MID-COLUMBIA",
+        "last_row_label": "ROCKIES"
+      }
+    ],
+    "cell_count": 7,
+    "formula_families": [
+      "arithmetic"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Power West Price Peak",
+          "column": "S",
+          "column_header": "Q1",
+          "cell_range": "S4:S10",
+          "cell_count": 7,
+          "rows": [
+            4,
+            5,
+            6,
+            7,
+            8,
+            9,
+            10
+          ],
+          "first_row_label": "MID-COLUMBIA",
+          "last_row_label": "ROCKIES"
+        }
+      ],
+      "cell_count": 7
+    }
+  ],
+  "total_prerequisite_cells": 7,
+  "total_masked_cells": 14,
+  "ratio_total_vs_final": 2.0,
+  "sheets_involved": [
+    "Power West Price Peak"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01955/task_meta.json

@@ -0,0 +1,73 @@
+{
+  "fcb_id": "FCB-01955",
+  "task_id": "cross_sheet__dag_9258c3c3fe22",
+  "tier": "T3_MEDIUM",
+  "category": "cross_sheet",
+  "depth": 2,
+  "total_masked": 14,
+  "is_cross_sheet": true,
+  "prompt_en": "The \"Power West Price Peak\" sheet is part of our engineering price compilation for western power hubs, with row labels such as MID-COLUMBIA, COB, NP15, ZP26, SP15, Palo Verde, and ROCKIES and columns including Peak, Off-Peak, Q4-01, Cal-01, and Q1-02. Please fill in the blank entries in the Q1 column on that sheet, specifically cells S15:S21. Some related blank columns in the workbook feed into these quarterly price entries, so make sure the supporting entries are in place before finalizing the Q1 column. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "“Power West Price Peak” 工作表是我们工程价格资料整理的一部分，里面按西部电力节点列出数据，行标签包括 MID-COLUMBIA、COB、NP15、ZP26、SP15、Palo Verde 和 ROCKIES，列里也能看到 Peak、Off-Peak、Q4-01、Cal-01、Q1-02 等字段。请把这个工作表中 Q1 列的空白项补完整，位置是 S15:S21。工作簿里有些相关的空白列会影响这些季度价格项，因此在确认 Q1 列之前，请先确保相关的基础项已经补好。完成后请将工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 29,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 5,
+    "D4": 5,
+    "D5": 4,
+    "D6": 5,
+    "frontier_hardness": 3,
+    "local_difficulty": 59.7
+  },
+  "source_file_id": "matthew_lenhart__26364__West Prices0601-01",
+  "inferred_domain": "engineering",
+  "domain_confidence": 0.25,
+  "sheet_profiles": [
+    {
+      "name": "P2",
+      "used_range": "A3:HK310",
+      "row_count": 308,
+      "col_count": 219,
+      "has_header": false,
+      "title_hint": "P2",
+      "header_info": null
+    },
+    {
+      "name": "Power West Price Peak",
+      "used_range": "A1:W41",
+      "row_count": 41,
+      "col_count": 23,
+      "has_header": false,
+      "title_hint": "Power West Price Peak",
+      "header_info": null
+    },
+    {
+      "name": "Power West Price Off-Peak",
+      "used_range": "A1:X42",
+      "row_count": 42,
+      "col_count": 24,
+      "has_header": false,
+      "title_hint": "Power West Price Off Peak",
+      "header_info": null
+    },
+    {
+      "name": "Power West Price Peak-Tim",
+      "used_range": "A1:R1096",
+      "row_count": 1096,
+      "col_count": 18,
+      "has_header": false,
+      "title_hint": "Power West Price Peak Tim",
+      "header_info": null
+    },
+    {
+      "name": "Power West Price Off Peak-Tim",
+      "used_range": "A1:R1096",
+      "row_count": 1096,
+      "col_count": 18,
+      "has_header": false,
+      "title_hint": "Power West Price Off Peak Tim",
+      "header_info": null
+    }
+  ]
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01964/audit.json

@@ -0,0 +1,411 @@
+{
+  "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 7 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=71465B, src=95878B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=2.0 (total=14, final=7)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "12 unique values across 14 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=2, prompt=7, 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=['Power West Price Off-Peak'], 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 7 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": "referenced=1 mentioned=1 missing=0",
+          "severity": "OK"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 1 col groups"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": true,
+          "detail": "GT funcs: ['AVERAGE']",
+          "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 14 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": 14,
+      "total_non_none": 14,
+      "block_reasons": [],
+      "warnings": [
+        "mixed_gt_types:{'float': 13, 'int': 1}"
+      ],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "float": 13,
+            "int": 1
+          },
+          "mixed": true
+        },
+        "empty_gt": {
+          "count": 0,
+          "details": []
+        }
+      }
+    },
+    "src_chain": {
+      "hard_block": false,
+      "block_reasons": [],
+      "checks": {
+        "error_cells": {
+          "pass": true,
+          "count": 0,
+          "cells": []
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+        "external_refs": {
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+          "count": 0,
+          "cells": []
+        },
+        "volatile_funcs": {
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+          "count": 0,
+          "cells": []
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+        "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": 14
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 14,
+      "total_masked": 14,
+      "total_visible": 4889,
+      "depth": 2,
+      "block_reasons": [],
+      "warnings": [],
+      "checks": {
+        "broken_chains": {
+          "count": 0,
+          "checked": 14,
+          "details": []
+        },
+        "orphan_masks": {
+          "count": 0,
+          "details": []
+        },
+        "self_contained": {
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+      }
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+    "exemplar": {
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+          "total_gt_patterns": 2,
+          "total_src_patterns": 9,
+          "zero_exemplar_count": 0,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "arithmetic": {
+            "total_masked": 7,
+            "visible_exemplars": 936
+          },
+          "AVERAGE": {
+            "total_masked": 7,
+            "visible_exemplars": 189
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.0,
+      "flags": []
+    },
+    "release_audit": {
+      "surface_single_sheet": true,
+      "surface_sheets": [
+        "Power West Price Off-Peak"
+      ],
+      "cross_sheet_actual": true,
+      "cross_sheet_ref_count": 210,
+      "referenced_sheets": [
+        "P2"
+      ],
+      "target_shape": "summary_block",
+      "layer_sizes": [
+        7,
+        7
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+      "mask_last_total_cells": 14,
+      "layer_growth_ratios": [
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+      ],
+      "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": 0.92,
+      "release_reasons": [
+        "cross_sheet_metadata_mismatch"
+      ],
+      "release_verdict": "KEEP_WITH_FIXES"
+    }
+  },
+  "difficulty": {
+    "task_id": "cross_sheet__dag_d7ab7b473cdb",
+    "difficulty_score": 59.7,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 14,
+    "is_cross_sheet": true,
+    "unique_patterns": 2,
+    "avg_complexity": 32.0,
+    "cross_refs": 70,
+    "visible_exemplar_ratio": 0.588,
+    "score_breakdown": {
+      "depth": 7,
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+      "patterns": 6,
+      "complexity": 15,
+      "cross_refs": 10,
+      "vis_penalty": 4.1
+    }
+  }
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01964/ground_truth_full.json

@@ -0,0 +1,128 @@
+[
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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01964/ground_truth_target.json

@@ -0,0 +1,58 @@
+[
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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01964/layers.json

@@ -0,0 +1,163 @@
+{
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+  "file_id": "matthew_lenhart__26362__West Prices0531-01",
+  "category": "cross_sheet",
+  "surface_category": "single_sheet",
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+          "pattern_id": "pf_0190",
+          "normalized_pattern": "=AVERAGE('P2'![C+41,R+5]:[C+43,R+5],'P2'![C+53,R+5]:[C+55,R+5],'P2'![C+65,R+5]:[C+67,R+5],'P2'![C+77,R+5]:[C+79,R+5],'P2'![C+89,R+5]:[C+91,R+5],'P2'![C+101,R+5]:[C+103,R+5],'P2'![C+113,R+5]:[C+115,R+5],'P2'![C+125,R+5]:[C+127,R+5],'P2'![C+137,R+5]:[C+139,R+5],'P2'![C+149,R+5]:[C+151,R+5])",
+          "sample_formula": "=AVERAGE('P2'!BJ13:BL13,'P2'!BV13:BX13,'P2'!CH13:CJ13,'P2'!CT13:CV13,'P2'!DF13:DH13,'P2'!DR13:DT13,'P2'!ED13:EF13,'P2'!EP13:ER13,'P2'!FB13:FD13,'P2'!FN13:FP13)"
+        },
+        {
+          "region_ids": [
+            "rg_00357"
+          ],
+          "sheet": "Power West Price Off-Peak",
+          "col": "U",
+          "rows": [
+            9
+          ],
+          "row_ranges": "9",
+          "row_count": 1,
+          "pattern_id": "pf_0203",
+          "normalized_pattern": "=AVERAGE('P2'![C+41,R+6]:[C+43,R+6],'P2'![C+53,R+6]:[C+55,R+6],'P2'![C+65,R+6]:[C+67,R+6],'P2'![C+77,R+6]:[C+79,R+6],'P2'![C+89,R+6]:[C+91,R+6],'P2'![C+101,R+6]:[C+103,R+6],'P2'![C+113,R+6]:[C+115,R+6],'P2'![C+125,R+6]:[C+127,R+6],'P2'![C+137,R+6]:[C+139,R+6],'P2'![C+149,R+6]:[C+151,R+6])",
+          "sample_formula": "=AVERAGE('P2'!BJ15:BL15,'P2'!BV15:BX15,'P2'!CH15:CJ15,'P2'!CT15:CV15,'P2'!DF15:DH15,'P2'!DR15:DT15,'P2'!ED15:EF15,'P2'!EP15:ER15,'P2'!FB15:FD15,'P2'!FN15:FP15)"
+        },
+        {
+          "region_ids": [
+            "rg_00371"
+          ],
+          "sheet": "Power West Price Off-Peak",
+          "col": "U",
+          "rows": [
+            10
+          ],
+          "row_ranges": "10",
+          "row_count": 1,
+          "pattern_id": "pf_0217",
+          "normalized_pattern": "=AVERAGE('P2'![C+41,R+7]:[C+43,R+7],'P2'![C+53,R+7]:[C+55,R+7],'P2'![C+65,R+7]:[C+67,R+7],'P2'![C+77,R+7]:[C+79,R+7],'P2'![C+89,R+7]:[C+91,R+7],'P2'![C+101,R+7]:[C+103,R+7],'P2'![C+113,R+7]:[C+115,R+7],'P2'![C+125,R+7]:[C+127,R+7],'P2'![C+137,R+7]:[C+139,R+7],'P2'![C+149,R+7]:[C+151,R+7])",
+          "sample_formula": "=AVERAGE('P2'!BJ17:BL17,'P2'!BV17:BX17,'P2'!CH17:CJ17,'P2'!CT17:CV17,'P2'!DF17:DH17,'P2'!DR17:DT17,'P2'!ED17:EF17,'P2'!EP17:ER17,'P2'!FB17:FD17,'P2'!FN17:FP17)"
+        }
+      ],
+      "new_eval_cells": 7,
+      "total_masked_cells": 14
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00038",
+    "sheet": "Power West Price Off-Peak",
+    "col": "U",
+    "pattern_id": "pf_0001",
+    "row_count": 7,
+    "family_size": 7
+  }
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01964/nl_task.json

@@ -0,0 +1,26 @@
+{
+  "task_id": "cross_sheet__dag_d7ab7b473cdb",
+  "prompt_en": "The Power West Price Off-Peak sheet is part of the engineering price compilation, with visible period labels like Q4-01, Cal-01, and Q1-02 alongside market labels such as MID-COLUMBIA, COB, NP15, ZP26, SP15, Palo Verde, ROCKIES, and MID-C. In that sheet, please complete the missing entries in the Q2 column for rows 16 through 22, located in U16:U22. The related period columns in the workbook should be in place so these Q2 entries fit with the surrounding Peak and Off-Peak price data. Please save the completed workbook as an .xlsx file.",
+  "prompt_cn": "“Power West Price Off-Peak”工作表是工程价格资料汇编的一部分，表里能看到 Q4-01、Cal-01、Q1-02 等期间标签，也有 MID-COLUMBIA、COB、NP15、ZP26、SP15、Palo Verde、ROCKIES、MID-C 等市场标签。请补全该工作表中 Q2 列第 16 到第 22 行的缺失内容，位置是 U16:U22。工作簿里相关期间列的数据需要就位，这样这些 Q2 条目才能和周围的 Peak 与 Off-Peak 价格数据保持一致。请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt identifies the exact sheet, semantic target column, and range while staying in minimal mode. It gives business context from visible labels and mentions dependency naturally without describing operations or formulas.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 9,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
+      "operation_words": 0,
+      "cell_range_density": 9,
+      "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": 67.1,
+  "attempt": 2
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01964/release_qc.json

@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "CORRECT: clean depth-2 chain mask with real cells, correct GT, and visible adjacent/cross-sheet patterns sufficient to reconstruct the missing Q2 formulas.",
+  "D1": {
+    "score": 5,
+    "reason": "All 14 contract cells are truly masked and within the actual sheet range; no contract cells are left unmasked and no extra cells are removed. The mask boundary is clean. Visible neighboring formulas provide structural clues, but the prerequisite U4:U10 formulas are not trivially copyable because the cross-sheet quarterly ranges must be inferred between Q1 and Q3 patterns."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The layer-1 GT formulas U16:U22 consistently follow the visible block logic: each value is the corresponding top price row U4:U10 minus the matching lower comparison row U27:U33. The formulas are deterministic and the cached values are consistent with those formulas."
+  },
+  "D3": {
+    "score": 5,
+    "reason": "The NL prompt clearly identifies the target sheet, the Q2 column, and the final cells U16:U22 to complete. It gives relevant workbook context without contradicting the task."
+  },
+  "D4": {
+    "score": 5,
+    "reason": "Using only mask_last.xlsx and the NL prompt, the task is reconstructible. For U16:U22, adjacent visible formulas in the same rows show the subtraction pattern, e.g. neighboring columns use top-row value minus rows 27:33. For U4:U10, the visible Q1, Q3, Q4, and Cal formulas around column U expose the quarterly cross-sheet averaging structure over P2 ranges, allowing Q2 ranges to be inferred as the missing intervals between Q1 and Q3 for each year block. Headers and row structure are visible enough to identify Q2 and the dependency chain.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 4,
+    "reason": "The relevant source sheets and formulas for this task appear internally consistent and usable. However, the workbook overview shows #REF! entries in the Tim sheets, indicating some broader source-sheet reference issues outside the immediate task area, so source quality is not perfectly clean."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The NL request sounds like a plausible workplace spreadsheet-completion request, with natural context about the engineering price compilation and no benchmark-specific language."
+  },
+  "total": 29,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality task: clean masking, correct deterministic GT, clear prompt, and sufficient visible evidence for a nontrivial but solvable cross-sheet dependency chain. Minor unrelated #REF! source artifacts do not undermine the task.",
+  "frontier_hardness": {
+    "score": 3,
+    "reason": "This is medium difficulty. A frontier model must reconstruct both the final subtraction formulas and the masked prerequisite Q2 cross-sheet averaging formulas from adjacent quarterly patterns. The cross-sheet references are long and require careful range inference, but the visible exemplars are strong and there are only two formula patterns.",
+    "fail_reason": "cross_sheet_multi_hop",
+    "is_valid_hardness": true
+  },
+  "_prompt_chars": 36959,
+  "_timing_load_workbooks": 0.45,
+  "_timing_context": 0.06,
+  "_timing_api": 23.33,
+  "local_difficulty": {
+    "difficulty_score": 59.7,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 14,
+    "is_cross_sheet": true,
+    "unique_patterns": 2,
+    "avg_complexity": 32,
+    "cross_refs": 70,
+    "visible_exemplar_ratio": 0.588
+  },
+  "task_id": "cross_sheet__dag_d7ab7b473cdb",
+  "elapsed": 23.8,
+  "publish_decision": "YES",
+  "release_tier": "GOLD",
+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01964/target_contract.json

@@ -0,0 +1,63 @@
+{
+  "task_id": "cross_sheet__dag_d7ab7b473cdb",
+  "category": "cross_sheet",
+  "depth": 2,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "Power West Price Off-Peak",
+        "column": "U",
+        "column_header": "Q2",
+        "cell_range": "U16:U22",
+        "cell_count": 7,
+        "rows": [
+          16,
+          17,
+          18,
+          19,
+          20,
+          21,
+          22
+        ],
+        "first_row_label": "MID-COLUMBIA",
+        "last_row_label": "ROCKIES"
+      }
+    ],
+    "cell_count": 7,
+    "formula_families": [
+      "arithmetic"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Power West Price Off-Peak",
+          "column": "U",
+          "column_header": "Q2",
+          "cell_range": "U4:U10",
+          "cell_count": 7,
+          "rows": [
+            4,
+            5,
+            6,
+            7,
+            8,
+            9,
+            10
+          ],
+          "first_row_label": "MID-COLUMBIA",
+          "last_row_label": "ROCKIES"
+        }
+      ],
+      "cell_count": 7
+    }
+  ],
+  "total_prerequisite_cells": 7,
+  "total_masked_cells": 14,
+  "ratio_total_vs_final": 2.0,
+  "sheets_involved": [
+    "Power West Price Off-Peak"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01964/task_meta.json

@@ -0,0 +1,73 @@
+{
+  "fcb_id": "FCB-01964",
+  "task_id": "cross_sheet__dag_d7ab7b473cdb",
+  "tier": "T3_MEDIUM",
+  "category": "cross_sheet",
+  "depth": 2,
+  "total_masked": 14,
+  "is_cross_sheet": true,
+  "prompt_en": "The Power West Price Off-Peak sheet is part of the engineering price compilation, with visible period labels like Q4-01, Cal-01, and Q1-02 alongside market labels such as MID-COLUMBIA, COB, NP15, ZP26, SP15, Palo Verde, ROCKIES, and MID-C. In that sheet, please complete the missing entries in the Q2 column for rows 16 through 22, located in U16:U22. The related period columns in the workbook should be in place so these Q2 entries fit with the surrounding Peak and Off-Peak price data. Please save the completed workbook as an .xlsx file.",
+  "prompt_cn": "“Power West Price Off-Peak”工作表是工程价格资料汇编的一部分，表里能看到 Q4-01、Cal-01、Q1-02 等期间标签，也有 MID-COLUMBIA、COB、NP15、ZP26、SP15、Palo Verde、ROCKIES、MID-C 等市场标签。请补全该工作表中 Q2 列第 16 到第 22 行的缺失内容，位置是 U16:U22。工作簿里相关期间列的数据需要就位，这样这些 Q2 条目才能和周围的 Peak 与 Off-Peak 价格数据保持一致。请将完成后的工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 29,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 5,
+    "D4": 5,
+    "D5": 4,
+    "D6": 5,
+    "frontier_hardness": 3,
+    "local_difficulty": 59.7
+  },
+  "source_file_id": "matthew_lenhart__26362__West Prices0531-01",
+  "inferred_domain": "engineering",
+  "domain_confidence": 0.25,
+  "sheet_profiles": [
+    {
+      "name": "P2",
+      "used_range": "A3:HK310",
+      "row_count": 308,
+      "col_count": 219,
+      "has_header": false,
+      "title_hint": "P2",
+      "header_info": null
+    },
+    {
+      "name": "Power West Price Peak",
+      "used_range": "A1:W41",
+      "row_count": 41,
+      "col_count": 23,
+      "has_header": false,
+      "title_hint": "Power West Price Peak",
+      "header_info": null
+    },
+    {
+      "name": "Power West Price Off-Peak",
+      "used_range": "A1:X42",
+      "row_count": 42,
+      "col_count": 24,
+      "has_header": false,
+      "title_hint": "Power West Price Off Peak",
+      "header_info": null
+    },
+    {
+      "name": "Power West Price Peak-Tim",
+      "used_range": "A1:R1096",
+      "row_count": 1096,
+      "col_count": 18,
+      "has_header": false,
+      "title_hint": "Power West Price Peak Tim",
+      "header_info": null
+    },
+    {
+      "name": "Power West Price Off Peak-Tim",
+      "used_range": "A1:R1096",
+      "row_count": 1096,
+      "col_count": 18,
+      "has_header": false,
+      "title_hint": "Power West Price Off Peak Tim",
+      "header_info": null
+    }
+  ]
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02019/audit.json

@@ -0,0 +1,406 @@
+{
+  "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 18 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=21721B, src=29135B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=2.0 (total=36, final=18)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "27 unique values across 36 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": "leaked: Transect Month 2!F→Transect Month 1!F(18/18), Transect Month 2!C→Transect Month 1!C(18/18)"
+        },
+        {
+          "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=1, missing=1",
+          "missing_ranges": [
+            "C7:C24"
+          ],
+          "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=['Transect Month 1'], 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 18 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; CONFLICTS: Transect Month 1!F26: visible='=SUM(F27:F32)' vs GT pattern='=D#-C#'; Transect Month 1!F27: visible='=SUMIF(habitat, \"open\", habita' vs GT pattern='=D#-C#'"
+        },
+        {
+          "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 36 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": 36,
+      "total_non_none": 36,
+      "block_reasons": [],
+      "warnings": [],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "str": 36
+          },
+          "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": 36
+      }
+    },
+    "solver_visibility": {
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+      "depth": 2,
+      "block_reasons": [],
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+        "orphan_masks": {
+          "count": 0,
+          "details": []
+        },
+        "self_contained": {
+          "missing_sheets": []
+        }
+      }
+    },
+    "exemplar": {
+      "soft_block": false,
+      "block_reasons": [],
+      "checks": {
+        "pattern_coverage": {
+          "pass": true,
+          "total_gt_patterns": 2,
+          "total_src_patterns": 341,
+          "zero_exemplar_count": 0,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "reference": {
+            "total_masked": 18,
+            "visible_exemplars": 18
+          },
+          "arithmetic": {
+            "total_masked": 18,
+            "visible_exemplars": 20
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.0,
+      "flags": []
+    },
+    "release_audit": {
+      "surface_single_sheet": true,
+      "surface_sheets": [
+        "Transect Month 1"
+      ],
+      "cross_sheet_actual": false,
+      "cross_sheet_ref_count": 0,
+      "referenced_sheets": [],
+      "target_shape": "single_column_series",
+      "layer_sizes": [
+        18,
+        18
+      ],
+      "mask_last_total_cells": 36,
+      "layer_growth_ratios": [
+        1.0
+      ],
+      "pattern_dominance_ratio": 0.5,
+      "visible_clone_regions": 2,
+      "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_1af8f53e5ddd",
+    "difficulty_score": 38.3,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 36,
+    "is_cross_sheet": false,
+    "unique_patterns": 3,
+    "avg_complexity": 4.0,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.4,
+    "score_breakdown": {
+      "depth": 7,
+      "cross_sheet": 0,
+      "cell_count": 10.3,
+      "patterns": 9,
+      "complexity": 6.0,
+      "cross_refs": 0,
+      "vis_penalty": 6.0
+    }
+  }
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02019/ground_truth_full.json

@@ -0,0 +1,326 @@
+[
+  {
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+    "col": "F",
+    "row": 7,
+    "formula": "=D7-C7",
+    "cached_value": "0:45:00",
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+    "cached_value": "0:07:00",
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+  {
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+    "formula": "=D10-C10",
+    "cached_value": "0:10:00",
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+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
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+    "formula": "=D11-C11",
+    "cached_value": "0:05:00",
+    "pattern_id": "pf_0003",
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+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
+    "row": 12,
+    "formula": "=D12-C12",
+    "cached_value": "0:04:00",
+    "pattern_id": "pf_0003",
+    "layer": 1
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
+    "row": 13,
+    "formula": "=D13-C13",
+    "cached_value": "0:03:00",
+    "pattern_id": "pf_0003",
+    "layer": 1
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
+    "row": 14,
+    "formula": "=D14-C14",
+    "cached_value": "0:05:00",
+    "pattern_id": "pf_0003",
+    "layer": 1
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
+    "row": 15,
+    "formula": "=D15-C15",
+    "cached_value": "0:05:00",
+    "pattern_id": "pf_0003",
+    "layer": 1
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
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+    "formula": "=D16-C16",
+    "cached_value": "0:13:00",
+    "pattern_id": "pf_0003",
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+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
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+    "formula": "=D17-C17",
+    "cached_value": "0:05:00",
+    "pattern_id": "pf_0003",
+    "layer": 1
+  },
+  {
+    "sheet": "Transect Month 1",
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+    "formula": "=D18-C18",
+    "cached_value": "0:19:00",
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+  },
+  {
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+    "formula": "=D19-C19",
+    "cached_value": "0:05:00",
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+  {
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+    "formula": "=D20-C20",
+    "cached_value": "0:05:00",
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+  },
+  {
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+    "formula": "=D21-C21",
+    "cached_value": "0:13:00",
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+    "cached_value": "0:05:00",
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+  {
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+    "formula": "=D23-C23",
+    "cached_value": "0:11:00",
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+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
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+    "formula": "=D24-C24",
+    "cached_value": "0:05:00",
+    "pattern_id": "pf_0003",
+    "layer": 1
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+  {
+    "sheet": "Transect Month 1",
+    "col": "C",
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+    "formula": "=D7",
+    "cached_value": "21:21:00",
+    "pattern_id": "pf_0004",
+    "layer": 2
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "C",
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+    "formula": "=D8",
+    "cached_value": "21:28:00",
+    "pattern_id": "pf_0004",
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+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "C",
+    "row": 10,
+    "formula": "=D9",
+    "cached_value": "21:32:00",
+    "pattern_id": "pf_0004",
+    "layer": 2
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "C",
+    "row": 11,
+    "formula": "=D10",
+    "cached_value": "21:42:00",
+    "pattern_id": "pf_0004",
+    "layer": 2
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "C",
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+    "formula": "=D11",
+    "cached_value": "21:47:00",
+    "pattern_id": "pf_0004",
+    "layer": 2
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "C",
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+    "formula": "=D12",
+    "cached_value": "21:51:00",
+    "pattern_id": "pf_0004",
+    "layer": 2
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "C",
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+    "formula": "=D13",
+    "cached_value": "21:54:00",
+    "pattern_id": "pf_0004",
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+  {
+    "sheet": "Transect Month 1",
+    "col": "C",
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+    "formula": "=D14",
+    "cached_value": "21:59:00",
+    "pattern_id": "pf_0004",
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+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "C",
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+    "formula": "=D15",
+    "cached_value": "22:04:00",
+    "pattern_id": "pf_0004",
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+  {
+    "sheet": "Transect Month 1",
+    "col": "C",
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+    "formula": "=D16",
+    "cached_value": "22:17:00",
+    "pattern_id": "pf_0004",
+    "layer": 2
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "C",
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+    "formula": "=D17",
+    "cached_value": "22:22:00",
+    "pattern_id": "pf_0004",
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+  {
+    "sheet": "Transect Month 1",
+    "col": "C",
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+    "formula": "=D18",
+    "cached_value": "22:41:00",
+    "pattern_id": "pf_0004",
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+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "C",
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+    "formula": "=D19",
+    "cached_value": "22:46:00",
+    "pattern_id": "pf_0004",
+    "layer": 2
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "C",
+    "row": 21,
+    "formula": "=D20",
+    "cached_value": "22:51:00",
+    "pattern_id": "pf_0004",
+    "layer": 2
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "C",
+    "row": 22,
+    "formula": "=D21",
+    "cached_value": "23:04:00",
+    "pattern_id": "pf_0004",
+    "layer": 2
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "C",
+    "row": 23,
+    "formula": "=D22",
+    "cached_value": "23:09:00",
+    "pattern_id": "pf_0004",
+    "layer": 2
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "C",
+    "row": 24,
+    "formula": "=D23",
+    "cached_value": "23:20:00",
+    "pattern_id": "pf_0004",
+    "layer": 2
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "C",
+    "row": 7,
+    "formula": "=C6",
+    "cached_value": "20:36:00",
+    "pattern_id": "pf_0012",
+    "layer": 2
+  }
+]

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02019/ground_truth_target.json

@@ -0,0 +1,146 @@
+[
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
+    "row": 7,
+    "formula": "=D7-C7",
+    "cached_value": "0:45:00",
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
+    "row": 8,
+    "formula": "=D8-C8",
+    "cached_value": "0:07:00",
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
+    "row": 9,
+    "formula": "=D9-C9",
+    "cached_value": "0:04:00",
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
+    "row": 10,
+    "formula": "=D10-C10",
+    "cached_value": "0:10:00",
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
+    "row": 11,
+    "formula": "=D11-C11",
+    "cached_value": "0:05:00",
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
+    "row": 12,
+    "formula": "=D12-C12",
+    "cached_value": "0:04:00",
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
+    "row": 13,
+    "formula": "=D13-C13",
+    "cached_value": "0:03:00",
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
+    "row": 14,
+    "formula": "=D14-C14",
+    "cached_value": "0:05:00",
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
+    "row": 15,
+    "formula": "=D15-C15",
+    "cached_value": "0:05:00",
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
+    "row": 16,
+    "formula": "=D16-C16",
+    "cached_value": "0:13:00",
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
+    "row": 17,
+    "formula": "=D17-C17",
+    "cached_value": "0:05:00",
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
+    "row": 18,
+    "formula": "=D18-C18",
+    "cached_value": "0:19:00",
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
+    "row": 19,
+    "formula": "=D19-C19",
+    "cached_value": "0:05:00",
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Transect Month 1",
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+    "row": 20,
+    "formula": "=D20-C20",
+    "cached_value": "0:05:00",
+    "pattern_id": "pf_0003"
+  },
+  {
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+    "formula": "=D21-C21",
+    "cached_value": "0:13:00",
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
+    "row": 22,
+    "formula": "=D22-C22",
+    "cached_value": "0:05:00",
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
+    "row": 23,
+    "formula": "=D23-C23",
+    "cached_value": "0:11:00",
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Transect Month 1",
+    "col": "F",
+    "row": 24,
+    "formula": "=D24-C24",
+    "cached_value": "0:05:00",
+    "pattern_id": "pf_0003"
+  }
+]

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02019/layers.json

@@ -0,0 +1,115 @@
+{
+  "dag_id": "dag_1af8f53e5ddd",
+  "file_id": "218732d1362564415-using-a-sumifs-across-multiple-sheets-with-multiple-criteria-surevy-form",
+  "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_00180"
+          ],
+          "sheet": "Transect Month 1",
+          "col": "F",
+          "rows": [
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24
+          ],
+          "row_ranges": "7-24",
+          "row_count": 18,
+          "pattern_id": "pf_0003",
+          "normalized_pattern": "=[C-2,R]-[C-3,R]",
+          "sample_formula": "=D7-C7"
+        }
+      ],
+      "new_eval_cells": 18,
+      "total_masked_cells": 18
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00182"
+          ],
+          "sheet": "Transect Month 1",
+          "col": "C",
+          "rows": [
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
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+            20,
+            21,
+            22,
+            23,
+            24
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+          "row_ranges": "8-24",
+          "row_count": 17,
+          "pattern_id": "pf_0004",
+          "normalized_pattern": "=[C+1,R-1]",
+          "sample_formula": "=D7"
+        },
+        {
+          "region_ids": [
+            "rg_00219"
+          ],
+          "sheet": "Transect Month 1",
+          "col": "C",
+          "rows": [
+            7
+          ],
+          "row_ranges": "7",
+          "row_count": 1,
+          "pattern_id": "pf_0012",
+          "normalized_pattern": "=[C,R-1]",
+          "sample_formula": "=C6"
+        }
+      ],
+      "new_eval_cells": 18,
+      "total_masked_cells": 36
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00180",
+    "sheet": "Transect Month 1",
+    "col": "F",
+    "pattern_id": "pf_0003",
+    "row_count": 18,
+    "family_size": 18
+  }
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02019/nl_task.json

@@ -0,0 +1,26 @@
+{
+  "task_id": "single_sheet__dag_1af8f53e5ddd",
+  "prompt_en": "The “Transect Month 1” sheet is set up for the Transect Survey Summarised Results for bat passes, with site details like House of Water, survey dates, habitat types, sunset, OS grid reference, temperature, and surveyor information already laid out. Please complete the blank entries in the “Time in Habitat (Mins)” column for the habitat rows on this sheet, specifically F7:F24. These time-in-habitat figures need to be in place so the rest of the transect summary can be read consistently. When you’re done, please save the completed workbook as an .xlsx file.",
+  "prompt_cn": "“Transect Month 1”工作表用于整理蝙蝠经过记录的样线调查汇总结果，里面已经列出了 House of Water、调查日期、栖息地类型、日落时间、OS 网格坐标、温度和调查人员等信息。请补全该工作表中“Time in Habitat (Mins)”列里各栖息地行的空白内容，具体范围是 F7:F24。这些栖息地停留时间需要填写完整，后面的样线汇总内容才能保持一致。完成后，请将补全后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt identifies the single sheet, the relevant survey context, and the exact target column/range without giving any calculation or formula hints. It mentions the natural dependency on the summary content without describing a step-by-step chain.",
+  "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": 29.4,
+  "attempt": 1
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02019/release_qc.json

@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "Well-designed: clean depth-2 mask with real cells, correct formulas, and visible timing structure sufficient to reconstruct the in-time and duration chain.",
+  "D1": {
+    "score": 5,
+    "reason": "All 36 contract cells are truly masked, with no unmasked contract cells and no extra masking outside the contract. The masked ranges are within the actual sheet dimensions. Formula-cache-missing entries are only the known openpyxl artifact. No evidence of problematic leakage; any structural clues are appropriate rather than trivially copyable."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The ground-truth formulas for F7:F24 are deterministic row-wise duration calculations, =Drow-Crow. They are consistent with the displayed cached time intervals, e.g. 21:21 minus 20:36 gives 0:45, 21:28 minus 21:21 gives 0:07, and the rest follow the same sequential timing pattern."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The prompt clearly identifies the target sheet and final target range F7:F24, and explains that these are Time in Habitat values. It does not mention that the in-time cells C7:C24 are also blank and must be reconstructed as prerequisites, which is a minor clarity gap, but the final requested output is unambiguous."
+  },
+  "D4": {
+    "score": 5,
+    "reason": "From mask_last.xlsx and the NL alone, the root evidence is visible. The headers show 'in time', 'Out time', and 'Time in Habitat (Mins)'; C6 provides the survey start time; D7:D24 provide each row's out time; and the rows are sequential transect intervals. A solver can infer C7 as the survey start time and C8:C24 as the previous row's out time, then compute F7:F24 as out time minus in time. No hidden constants or external references are needed.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 5,
+    "reason": "The source spreadsheet appears internally sound: meaningful headers, coherent transect timing data, deterministic formulas, no indicated circular references, no broken references, and no corruption in the relevant source region."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The NL request sounds natural and workplace-like, describing the workbook context and asking for completion of the relevant time-in-habitat entries without benchmark jargon."
+  },
+  "total": 29,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality task. The only minor issue is that the prompt names only the final F-range and not the masked C prerequisite range, but the chain is intentionally masked and the visible spreadsheet structure makes it reconstructible.",
+  "frontier_hardness": {
+    "score": 2,
+    "reason": "This is a short single-sheet depth-2 chain with clear timing headers and visible out times. A frontier model should infer the sequential in-time chain and duration calculations reliably.",
+    "fail_reason": "easy",
+    "is_valid_hardness": false
+  },
+  "_prompt_chars": 28473,
+  "_timing_load_workbooks": 0.19,
+  "_timing_context": 0.01,
+  "_timing_api": 149.99,
+  "local_difficulty": {
+    "difficulty_score": 38.3,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 36,
+    "is_cross_sheet": false,
+    "unique_patterns": 3,
+    "avg_complexity": 4,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.4
+  },
+  "task_id": "single_sheet__dag_1af8f53e5ddd",
+  "elapsed": 150.2,
+  "publish_decision": "YES",
+  "release_tier": "GOLD",
+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02019/target_contract.json

@@ -0,0 +1,85 @@
+{
+  "task_id": "single_sheet__dag_1af8f53e5ddd",
+  "category": "single_sheet",
+  "depth": 2,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "Transect Month 1",
+        "column": "F",
+        "column_header": "Time in Habitat (Mins)",
+        "cell_range": "F7:F24",
+        "cell_count": 18,
+        "rows": [
+          7,
+          8,
+          9,
+          10,
+          11,
+          12,
+          13,
+          14,
+          15,
+          16,
+          17,
+          18,
+          19,
+          20,
+          21,
+          22,
+          23,
+          24
+        ],
+        "first_row_label": "SS-15 to SS+30",
+        "last_row_label": "SS+121 onw"
+      }
+    ],
+    "cell_count": 18,
+    "formula_families": [
+      "arithmetic"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Transect Month 1",
+          "column": "C",
+          "column_header": "in time",
+          "cell_range": "C7:C24",
+          "cell_count": 18,
+          "rows": [
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24
+          ],
+          "first_row_label": "SS-15 to SS+30",
+          "last_row_label": "SS+121 onw"
+        }
+      ],
+      "cell_count": 18
+    }
+  ],
+  "total_prerequisite_cells": 18,
+  "total_masked_cells": 36,
+  "ratio_total_vs_final": 2.0,
+  "sheets_involved": [
+    "Transect Month 1"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02019/task_meta.json

@@ -0,0 +1,79 @@
+{
+  "fcb_id": "FCB-02019",
+  "task_id": "single_sheet__dag_1af8f53e5ddd",
+  "tier": "T3_MEDIUM",
+  "category": "single_sheet",
+  "depth": 2,
+  "total_masked": 36,
+  "is_cross_sheet": false,
+  "prompt_en": "The “Transect Month 1” sheet is set up for the Transect Survey Summarised Results for bat passes, with site details like House of Water, survey dates, habitat types, sunset, OS grid reference, temperature, and surveyor information already laid out. Please complete the blank entries in the “Time in Habitat (Mins)” column for the habitat rows on this sheet, specifically F7:F24. These time-in-habitat figures need to be in place so the rest of the transect summary can be read consistently. When you’re done, please save the completed workbook as an .xlsx file.",
+  "prompt_cn": "“Transect Month 1”工作表用于整理蝙蝠经过记录的样线调查汇总结果，里面已经列出了 House of Water、调查日期、栖息地类型、日落时间、OS 网格坐标、温度和调查人员等信息。请补全该工作表中“Time in Habitat (Mins)”列里各栖息地行的空白内容，具体范围是 F7:F24。这些栖息地停留时间需要填写完整，后面的样线汇总内容才能保持一致。完成后，请将补全后的工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 29,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 4,
+    "D4": 5,
+    "D5": 5,
+    "D6": 5,
+    "frontier_hardness": 2,
+    "local_difficulty": 38.3
+  },
+  "source_file_id": "218732d1362564415-using-a-sumifs-across-multiple-sheets-with-multiple-criteria-surevy-form",
+  "inferred_domain": "data_analysis",
+  "domain_confidence": 0.5,
+  "sheet_profiles": [
+    {
+      "name": "Transect Summary",
+      "used_range": "A1:AK43",
+      "row_count": 43,
+      "col_count": 37,
+      "has_header": false,
+      "title_hint": "Transect Summary",
+      "header_info": null
+    },
+    {
+      "name": "Transect Month 1",
+      "used_range": "A1:L35",
+      "row_count": 35,
+      "col_count": 12,
+      "has_header": true,
+      "title_hint": "Transect Month 1",
+      "header_info": {
+        "sheet": "Transect Month 1",
+        "header_row": 1,
+        "headers": {
+          "A": "Site Name",
+          "C": "Date",
+          "D": "Survey Type",
+          "E": "Sunset",
+          "F": "OS Grid Ref",
+          "G": "Temperature oC",
+          "H": "Surveyor(s) ([Person_2])"
+        }
+      }
+    },
+    {
+      "name": "Transect Month 2",
+      "used_range": "A1:L35",
+      "row_count": 35,
+      "col_count": 12,
+      "has_header": true,
+      "title_hint": "Transect Month 2",
+      "header_info": {
+        "sheet": "Transect Month 2",
+        "header_row": 1,
+        "headers": {
+          "A": "Site Name",
+          "C": "Date",
+          "D": "Survey Type",
+          "E": "Sunset",
+          "F": "OS Grid Ref",
+          "G": "Temperature oC",
+          "H": "Surveyor(s) ([Person_2])"
+        }
+      }
+    }
+  ]
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02045/audit.json

@@ -0,0 +1,429 @@
+{
+  "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 53 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=77252B, src=110258B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=2.7 (total=144, final=53)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "136 unique values across 144 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": "leaked: Labor Baseline V1!AG→Labor Baseline V2!AG(53/53), Labor Baseline V1!AA→Labor Baseline V2!AA(7/7), Labor Baseline V1!AB→Labor Baseline V2!AB(7/7), Labor Baseline V1!AC→Labor Baseline V2!AC(7/7), Labor Baseline V1!AD→Labor Baseline V2!AD(7/7)"
+        },
+        {
+          "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=84, prompt=7, missing=66",
+          "missing_ranges": [
+            "AA18",
+            "AA26:AA27",
+            "AA40",
+            "AA56",
+            "AA59",
+            "AA61",
+            "AB18",
+            "AB26:AB27",
+            "AB40",
+            "AB56"
+          ],
+          "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=['Labor Baseline V2'], 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 53 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 14 col groups"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": true,
+          "detail": "GT funcs: ['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 144 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": 144,
+      "total_non_none": 144,
+      "block_reasons": [],
+      "warnings": [
+        "mixed_gt_types:{'int': 64, 'float': 80}"
+      ],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "int": 64,
+            "float": 80
+          },
+          "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": 144
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 144,
+      "total_masked": 144,
+      "total_visible": 5188,
+      "depth": 2,
+      "block_reasons": [],
+      "warnings": [
+        "broken_chains:1/144"
+      ],
+      "checks": {
+        "broken_chains": {
+          "count": 1,
+          "checked": 144,
+          "details": [
+            {
+              "cell": "Labor Baseline V2!AG4",
+              "missing_dep": "Labor Baseline V2!T4",
+              "formula": "=SUM(T4:AF4)"
+            }
+          ]
+        },
+        "orphan_masks": {
+          "count": 0,
+          "details": []
+        },
+        "self_contained": {
+          "missing_sheets": []
+        }
+      }
+    },
+    "exemplar": {
+      "soft_block": false,
+      "block_reasons": [],
+      "checks": {
+        "pattern_coverage": {
+          "pass": true,
+          "total_gt_patterns": 4,
+          "total_src_patterns": 18,
+          "zero_exemplar_count": 0,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "SUM": {
+            "total_masked": 105,
+            "visible_exemplars": 601
+          },
+          "arithmetic": {
+            "total_masked": 39,
+            "visible_exemplars": 593
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.0,
+      "flags": []
+    },
+    "release_audit": {
+      "surface_single_sheet": true,
+      "surface_sheets": [
+        "Labor Baseline V2"
+      ],
+      "cross_sheet_actual": false,
+      "cross_sheet_ref_count": 0,
+      "referenced_sheets": [],
+      "target_shape": "template_column_fill",
+      "layer_sizes": [
+        53,
+        91
+      ],
+      "mask_last_total_cells": 144,
+      "layer_growth_ratios": [
+        1.717
+      ],
+      "pattern_dominance_ratio": 0.3681,
+      "visible_clone_regions": 502,
+      "nearby_visible_clone_regions": 25,
+      "nearby_visible_clone_rows": 25,
+      "nearby_visible_clone_ratio": 0.2747,
+      "promptability_score": 0.8,
+      "release_reasons": [
+        "visible_clone_leakage"
+      ],
+      "release_verdict": "REVISION_POOL"
+    }
+  },
+  "difficulty": {
+    "task_id": "single_sheet__dag_2ab1708ce2d8",
+    "difficulty_score": 53.4,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 144,
+    "is_cross_sheet": false,
+    "unique_patterns": 53,
+    "avg_complexity": 4.9,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.019,
+    "score_breakdown": {
+      "depth": 7,
+      "cross_sheet": 0,
+      "cell_count": 14.3,
+      "patterns": 15,
+      "complexity": 7.3,
+      "cross_refs": 0,
+      "vis_penalty": 9.8
+    }
+  }
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02045/ground_truth_full.json

@@ -0,0 +1,1298 @@
+[
+  {
+    "sheet": "Labor Baseline V2",
+    "col": "AG",
+    "row": 4,
+    "formula": "=SUM(T4:AF4)",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Labor Baseline V2",
+    "col": "AG",
+    "row": 5,
+    "formula": "=SUM(T5:AF5)",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Labor Baseline V2",
+    "col": "AG",
+    "row": 6,
+    "formula": "=SUM(T6:AF6)",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Labor Baseline V2",
+    "col": "AG",
+    "row": 7,
+    "formula": "=SUM(T7:AF7)",
+    "cached_value": 27977571,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Labor Baseline V2",
+    "col": "AG",
+    "row": 8,
+    "formula": "=SUM(T8:AF8)",
+    "cached_value": 9073714.07,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Labor Baseline V2",
+    "col": "AG",
+    "row": 9,
+    "formula": "=SUM(T9:AF9)",
+    "cached_value": 1528236,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Labor Baseline V2",
+    "col": "AG",
+    "row": 10,
+    "formula": "=SUM(T10:AF10)",
+    "cached_value": 24808826,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Labor Baseline V2",
+    "col": "AG",
+    "row": 11,
+    "formula": "=SUM(T11:AF11)",
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+          "sample_formula": "=SUM(V5:V17)"
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+        {
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+          "sheet": "Labor Baseline V2",
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+          "sample_formula": "=SUM(V20:V25)"
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+        {
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+          "pattern_id": "pf_0003",
+          "normalized_pattern": "=SUM([C,R-10]:[C,R-1])",
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+          "sample_formula": "=V18+V26+V40+V56"
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+        {
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+          "sheet": "Labor Baseline V2",
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+          "normalized_pattern": "=[C,R-4]+[C,R-20]+[C,R-33]",
+          "sample_formula": "=V57+V41+V28"
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+        {
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+            "rg_00216"
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+          "sheet": "Labor Baseline V2",
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+          "normalized_pattern": "=SUM([C,R-13]:[C,R-1])",
+          "sample_formula": "=SUM(W5:W17)"
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+        {
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+          "sheet": "Labor Baseline V2",
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+          "sample_formula": "=SUM(Y20:Y25)"
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+          "normalized_pattern": "=SUM([C,R-13]:[C,R-1])",
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+          "normalized_pattern": "=SUM([C,R-6]:[C,R-1])",
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+    "col": "AG",
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+    "family_size": 53
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+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02045/nl_task.json

@@ -0,0 +1,26 @@
+{
+  "task_id": "single_sheet__dag_2ab1708ce2d8",
+  "prompt_en": "The Labor Baseline V2 sheet is part of the Weekly Labor Summary V2 recap for Yield Version 2, with sections such as Production Pounds, Production Variances, and labor areas like Ham Defrost, Seam Boning, and Ham Cure already laid out. Please fill in the missing baseline-pound entries in the “Total Baseline Lbs” column on the “Labor Baseline V2” sheet, specifically AG4:AG18, AG20:AG28, AG30:AG41, AG43:AG57, AG59, and AG61. Some blank columns in this workbook feed into other blank columns, so make sure the related weekly production and baseline entries are in place where needed before finalizing the “Total Baseline Lbs” values. Save the completed file as an .xlsx workbook.",
+  "prompt_cn": "“Labor Baseline V2” 工作表属于 “Weekly Labor Summary V2” 中的 Yield Version 2 周度汇总，里面已经列出了 Production Pounds、Production Variances，以及 Ham Defrost、Seam Boning、Ham Cure 等人工区域。请补全 “Labor Baseline V2” 工作表中 “Total Baseline Lbs” 列缺失的基准磅数，位置是 AG4:AG18、AG20:AG28、AG30:AG41、AG43:AG57、AG59 和 AG61。这个工作簿里有些空白列会影响其他空白列，因此在最终填写 “Total Baseline Lbs” 数值前，请确保相关的周度生产和基准条目已在需要的位置补齐。请将完成后的文件保存为 .xlsx 工作簿。",
+  "quality_notes": "The prompt is minimal and business-context focused, names the relevant sheet, column, and ranges, and avoids formulas or operational instructions. It includes a natural prerequisite note without describing the dependency chain.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 19,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
+      "operation_words": 0,
+      "cell_range_density": 19,
+      "step_by_step": 0,
+      "column_operation_mapping": 0,
+      "formula_pattern_hints": 0
+    },
+    "operation_words_found": [],
+    "cell_ranges_found": 4
+  },
+  "version": "v7",
+  "model": "gpt-5.5",
+  "elapsed": 12.6,
+  "attempt": 1
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02045/release_qc.json

@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "CORRECT: the mask is clean, cells are real, formulas are deterministic, and the dependency chain is reconstructible from visible subtotal/total structure.",
+  "D1": {
+    "score": 5,
+    "reason": "All 144 contract cells are truly masked, with no contract misses and no extra masked cells. The masked cells are within the actual Labor Baseline V2 sheet range. Formula-cache-missing entries are explicitly an openpyxl artifact and not extra masking. Visible formulas in nearby variance columns provide structural clues but do not make every target trivially copyable without understanding the section totals and cross-column dependency chain."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The ground-truth formulas are consistent with the source workbook: AG targets sum T:AF by row, while prerequisite T:AF subtotal rows use deterministic SUM or additive subtotal formulas. Cached values shown are consistent with the formulas, and there are no apparent volatile or ambiguous formulas."
+  },
+  "D3": {
+    "score": 5,
+    "reason": "The NL prompt clearly identifies the sheet, the target column, and the exact AG ranges to fill. It also warns that related weekly production/baseline entries feed the final blanks, which matches the depth-2 chain-masking setup."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "Using only mask_last.xlsx and the prompt, the task is solvable with effort. The visible sheet structure shows weekly production/baseline columns T:AF and the final Total Baseline Lbs column AG, making AG as a row-wise total across T:AF reasonably inferable. The masked subtotal rows in T:AF align with visible formulas and subtotal conventions in neighboring columns such as N:P/Q/R, giving evidence for SUM ranges and additive rollups. The main minor gap is that AG has no direct unmasked exemplar in the same target column, and some rollup rows such as 61 require inference from section structure, but the workbook layout and visible row/column context provide enough root evidence.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 5,
+    "reason": "The source workbook appears structurally sound: formulas are coherent, headers are meaningful enough for the labor-baseline context, cached values are present and consistent, and there are no signs of corrupted values, circular references, or broken formulas in the provided source context."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The NL request sounds like a realistic workplace spreadsheet completion instruction. It avoids benchmark jargon and naturally describes the workbook, target column, related dependencies, and output requirement."
+  },
+  "total": 29,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality task with clean masking, correct deterministic formulas, clear prompt, and sufficient visible evidence for reconstructing the dependency chain. The only minor difficulty is inferential rather than a quality flaw.",
+  "frontier_hardness": {
+    "score": 2,
+    "reason": "The task has many masked cells, but the formulas are mostly repetitive row totals and section subtotals within one sheet. A frontier model should likely infer the SUM and rollup patterns from the visible workbook structure and neighboring formulas, though it must manage several repeated dependencies.",
+    "fail_reason": "easy",
+    "is_valid_hardness": false
+  },
+  "_prompt_chars": 233697,
+  "_timing_load_workbooks": 0.46,
+  "_timing_context": 0.04,
+  "_timing_api": 49.13,
+  "local_difficulty": {
+    "difficulty_score": 58.2,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 144,
+    "is_cross_sheet": false,
+    "unique_patterns": 53,
+    "avg_complexity": 8,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.019
+  },
+  "task_id": "single_sheet__dag_2ab1708ce2d8",
+  "elapsed": 49.6,
+  "publish_decision": "YES",
+  "release_tier": "GOLD",
+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02045/target_contract.json

@@ -0,0 +1,325 @@
+{
+  "task_id": "single_sheet__dag_2ab1708ce2d8",
+  "category": "single_sheet",
+  "depth": 2,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "Labor Baseline V2",
+        "column": "AG",
+        "column_header": "Total Baseline Lbs",
+        "cell_range": "AG4:AG18, AG20:AG28, AG30:AG41, AG43:AG57, AG59, AG61",
+        "cell_count": 53,
+        "rows": [
+          4,
+          5,
+          6,
+          7,
+          8,
+          9,
+          10,
+          11,
+          12,
+          13,
+          14,
+          15,
+          16,
+          17,
+          18,
+          20,
+          21,
+          22,
+          23,
+          24,
+          25,
+          26,
+          27,
+          28,
+          30,
+          31,
+          32,
+          33,
+          34,
+          35,
+          36,
+          37,
+          38,
+          39,
+          40,
+          41,
+          43,
+          44,
+          45,
+          46,
+          47,
+          48,
+          49,
+          50,
+          51,
+          52,
+          53,
+          54,
+          55,
+          56,
+          57,
+          59,
+          61
+        ],
+        "first_row_label": "",
+        "last_row_label": "Total Finished Goods"
+      }
+    ],
+    "cell_count": 53,
+    "formula_families": [
+      "aggregation"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Labor Baseline V2",
+          "column": "AA",
+          "column_header": "Prod (lbs)",
+          "cell_range": "AA18, AA26:AA27, AA40, AA56, AA59, AA61",
+          "cell_count": 7,
+          "rows": [
+            18,
+            26,
+            27,
+            40,
+            56,
+            59,
+            61
+          ],
+          "first_row_label": "Total Smoked Meats",
+          "last_row_label": "Total Finished Goods"
+        },
+        {
+          "sheet": "Labor Baseline V2",
+          "column": "AB",
+          "column_header": "Prod (lbs)",
+          "cell_range": "AB18, AB26:AB27, AB40, AB56, AB59, AB61",
+          "cell_count": 7,
+          "rows": [
+            18,
+            26,
+            27,
+            40,
+            56,
+            59,
+            61
+          ],
+          "first_row_label": "Total Smoked Meats",
+          "last_row_label": "Total Finished Goods"
+        },
+        {
+          "sheet": "Labor Baseline V2",
+          "column": "AC",
+          "column_header": "Prod (lbs)",
+          "cell_range": "AC18, AC26:AC27, AC40, AC56, AC59, AC61",
+          "cell_count": 7,
+          "rows": [
+            18,
+            26,
+            27,
+            40,
+            56,
+            59,
+            61
+          ],
+          "first_row_label": "Total Smoked Meats",
+          "last_row_label": "Total Finished Goods"
+        },
+        {
+          "sheet": "Labor Baseline V2",
+          "column": "AD",
+          "column_header": "Prod (lbs)",
+          "cell_range": "AD18, AD26:AD27, AD40, AD56, AD59, AD61",
+          "cell_count": 7,
+          "rows": [
+            18,
+            26,
+            27,
+            40,
+            56,
+            59,
+            61
+          ],
+          "first_row_label": "Total Smoked Meats",
+          "last_row_label": "Total Finished Goods"
+        },
+        {
+          "sheet": "Labor Baseline V2",
+          "column": "AE",
+          "column_header": "Prod (lbs)",
+          "cell_range": "AE18, AE26:AE27, AE40, AE56, AE59, AE61",
+          "cell_count": 7,
+          "rows": [
+            18,
+            26,
+            27,
+            40,
+            56,
+            59,
+            61
+          ],
+          "first_row_label": "Total Smoked Meats",
+          "last_row_label": "Total Finished Goods"
+        },
+        {
+          "sheet": "Labor Baseline V2",
+          "column": "AF",
+          "column_header": "Prod (lbs)",
+          "cell_range": "AF18, AF26:AF27, AF40, AF56, AF59, AF61",
+          "cell_count": 7,
+          "rows": [
+            18,
+            26,
+            27,
+            40,
+            56,
+            59,
+            61
+          ],
+          "first_row_label": "Total Smoked Meats",
+          "last_row_label": "Total Finished Goods"
+        },
+        {
+          "sheet": "Labor Baseline V2",
+          "column": "T",
+          "column_header": "Production Pounds",
+          "cell_range": "T18, T26:T27, T40, T56, T59, T61",
+          "cell_count": 7,
+          "rows": [
+            18,
+            26,
+            27,
+            40,
+            56,
+            59,
+            61
+          ],
+          "first_row_label": "Total Smoked Meats",
+          "last_row_label": "Total Finished Goods"
+        },
+        {
+          "sheet": "Labor Baseline V2",
+          "column": "U",
+          "column_header": "Prod (lbs)",
+          "cell_range": "U18, U26:U27, U40, U56, U59, U61",
+          "cell_count": 7,
+          "rows": [
+            18,
+            26,
+            27,
+            40,
+            56,
+            59,
+            61
+          ],
+          "first_row_label": "Total Smoked Meats",
+          "last_row_label": "Total Finished Goods"
+        },
+        {
+          "sheet": "Labor Baseline V2",
+          "column": "V",
+          "column_header": "Prod (lbs)",
+          "cell_range": "V18, V26:V27, V40, V56, V59, V61",
+          "cell_count": 7,
+          "rows": [
+            18,
+            26,
+            27,
+            40,
+            56,
+            59,
+            61
+          ],
+          "first_row_label": "Total Smoked Meats",
+          "last_row_label": "Total Finished Goods"
+        },
+        {
+          "sheet": "Labor Baseline V2",
+          "column": "W",
+          "column_header": "Prod (lbs)",
+          "cell_range": "W18, W26:W27, W40, W56, W59, W61",
+          "cell_count": 7,
+          "rows": [
+            18,
+            26,
+            27,
+            40,
+            56,
+            59,
+            61
+          ],
+          "first_row_label": "Total Smoked Meats",
+          "last_row_label": "Total Finished Goods"
+        },
+        {
+          "sheet": "Labor Baseline V2",
+          "column": "X",
+          "column_header": "Prod (lbs)",
+          "cell_range": "X18, X26:X27, X40, X56, X59, X61",
+          "cell_count": 7,
+          "rows": [
+            18,
+            26,
+            27,
+            40,
+            56,
+            59,
+            61
+          ],
+          "first_row_label": "Total Smoked Meats",
+          "last_row_label": "Total Finished Goods"
+        },
+        {
+          "sheet": "Labor Baseline V2",
+          "column": "Y",
+          "column_header": "Prod (lbs)",
+          "cell_range": "Y18, Y26:Y27, Y40, Y56, Y59, Y61",
+          "cell_count": 7,
+          "rows": [
+            18,
+            26,
+            27,
+            40,
+            56,
+            59,
+            61
+          ],
+          "first_row_label": "Total Smoked Meats",
+          "last_row_label": "Total Finished Goods"
+        },
+        {
+          "sheet": "Labor Baseline V2",
+          "column": "Z",
+          "column_header": "Prod (lbs)",
+          "cell_range": "Z18, Z26:Z27, Z40, Z56, Z59, Z61",
+          "cell_count": 7,
+          "rows": [
+            18,
+            26,
+            27,
+            40,
+            56,
+            59,
+            61
+          ],
+          "first_row_label": "Total Smoked Meats",
+          "last_row_label": "Total Finished Goods"
+        }
+      ],
+      "cell_count": 91
+    }
+  ],
+  "total_prerequisite_cells": 91,
+  "total_masked_cells": 144,
+  "ratio_total_vs_final": 2.7,
+  "sheets_involved": [
+    "Labor Baseline V2"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02045/task_meta.json

@@ -0,0 +1,82 @@
+{
+  "fcb_id": "FCB-02045",
+  "task_id": "single_sheet__dag_2ab1708ce2d8",
+  "tier": "T3_MEDIUM",
+  "category": "single_sheet",
+  "depth": 2,
+  "total_masked": 144,
+  "is_cross_sheet": false,
+  "prompt_en": "The Labor Baseline V2 sheet is part of the Weekly Labor Summary V2 recap for Yield Version 2, with sections such as Production Pounds, Production Variances, and labor areas like Ham Defrost, Seam Boning, and Ham Cure already laid out. Please fill in the missing baseline-pound entries in the “Total Baseline Lbs” column on the “Labor Baseline V2” sheet, specifically AG4:AG18, AG20:AG28, AG30:AG41, AG43:AG57, AG59, and AG61. Some blank columns in this workbook feed into other blank columns, so make sure the related weekly production and baseline entries are in place where needed before finalizing the “Total Baseline Lbs” values. Save the completed file as an .xlsx workbook.",
+  "prompt_cn": "“Labor Baseline V2” 工作表属于 “Weekly Labor Summary V2” 中的 Yield Version 2 周度汇总，里面已经列出了 Production Pounds、Production Variances，以及 Ham Defrost、Seam Boning、Ham Cure 等人工区域。请补全 “Labor Baseline V2” 工作表中 “Total Baseline Lbs” 列缺失的基准磅数，位置是 AG4:AG18、AG20:AG28、AG30:AG41、AG43:AG57、AG59 和 AG61。这个工作簿里有些空白列会影响其他空白列，因此在最终填写 “Total Baseline Lbs” 数值前，请确保相关的周度生产和基准条目已在需要的位置补齐。请将完成后的文件保存为 .xlsx 工作簿。",
+  "qc": {
+    "total": 29,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 5,
+    "D4": 4,
+    "D5": 5,
+    "D6": 5,
+    "frontier_hardness": 2,
+    "local_difficulty": 58.2
+  },
+  "source_file_id": "145917d1331815483-need-help-with-weighted-average-test-1",
+  "inferred_domain": "data_analysis",
+  "domain_confidence": 0.5,
+  "sheet_profiles": [
+    {
+      "name": "Summary -Baseline V2",
+      "used_range": "A1:Q62",
+      "row_count": 62,
+      "col_count": 17,
+      "has_header": false,
+      "title_hint": "Summary  Baseline V2",
+      "header_info": null
+    },
+    {
+      "name": "Weekly Comparison Yields",
+      "used_range": "A1:X64",
+      "row_count": 64,
+      "col_count": 24,
+      "has_header": false,
+      "title_hint": "Weekly Comparison Yields",
+      "header_info": null
+    },
+    {
+      "name": "Baseline V2",
+      "used_range": "A1:AG64",
+      "row_count": 64,
+      "col_count": 33,
+      "has_header": false,
+      "title_hint": "Baseline V2",
+      "header_info": null
+    },
+    {
+      "name": "Weekly Labor Summary V2",
+      "used_range": "A1:N61",
+      "row_count": 61,
+      "col_count": 14,
+      "has_header": false,
+      "title_hint": "Weekly Labor Summary V2",
+      "header_info": null
+    },
+    {
+      "name": "Labor Baseline V1",
+      "used_range": "A1:AG61",
+      "row_count": 61,
+      "col_count": 33,
+      "has_header": false,
+      "title_hint": "Labor Baseline V1",
+      "header_info": null
+    },
+    {
+      "name": "Labor Baseline V2",
+      "used_range": "A1:AG61",
+      "row_count": 61,
+      "col_count": 33,
+      "has_header": false,
+      "title_hint": "Labor Baseline V2",
+      "header_info": null
+    }
+  ]
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02064/audit.json

@@ -0,0 +1,424 @@
+{
+  "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 12 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=11900B, src=17682B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=5.0 (total=60, final=12)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "17 unique values across 60 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=['Data'], 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 12 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; CONFLICTS: Data!I17: visible='=COUNTIFS($B$2:$B$25,I$16,$E$2' vs GT pattern='=COUNTIFS($B$#:$B$#,I$#,$C$#:$'; Data!I18: visible='=COUNTIFS($B$2:$B$25,I$16,$E$2' vs GT pattern='=COUNTIFS($B$#:$B$#,I$#,$C$#:$'"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": true,
+          "detail": "GT funcs: ['COUNTIFS', 'TEXT', 'YEAR']",
+          "severity": "OK"
+        },
+        {
+          "check": "unmatched_default_rule",
+          "pass": true,
+          "detail": "no default-rule phrase found in NL",
+          "severity": "OK"
+        },
+        {
+          "check": "volatile_function_freeze",
+          "pass": true,
+          "detail": "volatile_cells=0",
+          "severity": "OK"
+        },
+        {
+          "check": "direct_answer_leakage",
+          "pass": true,
+          "detail": "0 leaks out of 60 GT cells (0%)",
+          "severity": "OK"
+        }
+      ]
+    },
+    "pre_nl_local": {
+      "local_total": 58,
+      "local_label": "PENDING_NL",
+      "hard_fail_flags": [],
+      "warnings": [
+        "nl_missing"
+      ],
+      "local_subscores": {
+        "family_clean": 25,
+        "target_integrity": 15,
+        "taxonomy": 10,
+        "semantic_signal": 8,
+        "nl_schema": 0,
+        "target_alignment": 0,
+        "business_specificity": 0,
+        "nl_risk": 0
+      }
+    }
+  },
+  "verify": {
+    "uniqueness": {
+      "total_gt_cells": 60,
+      "total_non_none": 60,
+      "block_reasons": [],
+      "warnings": [
+        "mixed_gt_types:{'int': 36, 'str': 24}"
+      ],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "int": 36,
+            "str": 24
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+          "mixed": true
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+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Data",
+    "col": "I",
+    "row": 9,
+    "formula": "=COUNTIFS($B$2:$B$25,I$2,$C$2:$C$25,$F9,$D$2:$D$25,$H$1)",
+    "cached_value": 0,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Data",
+    "col": "I",
+    "row": 10,
+    "formula": "=COUNTIFS($B$2:$B$25,I$2,$C$2:$C$25,$F10,$D$2:$D$25,$H$1)",
+    "cached_value": 2,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Data",
+    "col": "I",
+    "row": 11,
+    "formula": "=COUNTIFS($B$2:$B$25,I$2,$C$2:$C$25,$F11,$D$2:$D$25,$H$1)",
+    "cached_value": 0,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Data",
+    "col": "I",
+    "row": 12,
+    "formula": "=COUNTIFS($B$2:$B$25,I$2,$C$2:$C$25,$F12,$D$2:$D$25,$H$1)",
+    "cached_value": 0,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Data",
+    "col": "I",
+    "row": 13,
+    "formula": "=COUNTIFS($B$2:$B$25,I$2,$C$2:$C$25,$F13,$D$2:$D$25,$H$1)",
+    "cached_value": 1,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "Data",
+    "col": "I",
+    "row": 14,
+    "formula": "=COUNTIFS($B$2:$B$25,I$2,$C$2:$C$25,$F14,$D$2:$D$25,$H$1)",
+    "cached_value": 1,
+    "pattern_id": "pf_0000"
+  }
+]

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02064/layers.json

@@ -0,0 +1,139 @@
+{
+  "dag_id": "dag_38b3b898ecd4",
+  "file_id": "600669d1543903416-sumproduct-occurrences-occurring-by-month-quarter-and-year-counting-colors2",
+  "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": "Data",
+          "col": "I",
+          "rows": [
+            3,
+            4,
+            5,
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14
+          ],
+          "row_ranges": "3-14",
+          "row_count": 12,
+          "pattern_id": "pf_0000",
+          "normalized_pattern": "=COUNTIFS([$B,$2]:[$B,$25],[C,$2],[$C,$2]:[$C,$25],[$F,R],[$D,$2]:[$D,$25],[$H,$1])",
+          "sample_formula": "=COUNTIFS($B$2:$B$25,I$2,$C$2:$C$25,$F3,$D$2:$D$25,$H$1)"
+        }
+      ],
+      "new_eval_cells": 12,
+      "total_masked_cells": 12
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00006"
+          ],
+          "sheet": "Data",
+          "col": "C",
+          "rows": [
+            2,
+            3,
+            4,
+            5,
+            6,
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+            20,
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+            23,
+            24,
+            25
+          ],
+          "row_ranges": "2-25",
+          "row_count": 24,
+          "pattern_id": "pf_0002",
+          "normalized_pattern": "=TEXT([C-2,R],\"MMM\")",
+          "sample_formula": "=TEXT(A2,\"MMM\")"
+        },
+        {
+          "region_ids": [
+            "rg_00007"
+          ],
+          "sheet": "Data",
+          "col": "D",
+          "rows": [
+            2,
+            3,
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+            5,
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+            25
+          ],
+          "row_ranges": "2-25",
+          "row_count": 24,
+          "pattern_id": "pf_0003",
+          "normalized_pattern": "=YEAR([C-3,R])",
+          "sample_formula": "=YEAR(A2)"
+        }
+      ],
+      "new_eval_cells": 48,
+      "total_masked_cells": 60
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00002",
+    "sheet": "Data",
+    "col": "I",
+    "pattern_id": "pf_0000",
+    "row_count": 12,
+    "family_size": 12
+  }
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02064/nl_task.json

@@ -0,0 +1,26 @@
+{
+  "task_id": "single_sheet__dag_38b3b898ecd4",
+  "prompt_en": "On the Data sheet, the sales pipeline view ties Date, Qtr, Month, Year, and Color to a MONTHS block with red, Green, and blue columns. The blue column in that monthly block still has blanks; please fill in the Blue/blue entries in I3:I14. Make sure the month-by-color figures are in place so the related summary area on the sheet makes sense. Please save the completed workbook as an .xlsx file.",
+  "prompt_cn": "在 Data 工作表中，这个销售管道视图把 Date、Qtr、Month、Year 和 Color 与 MONTHS 区块中的 red、Green、blue 列对应起来。该月度区块里的 blue 列还有空白，请补全 I3:I14 中的 Blue/blue 项目。请确保按月份和颜色整理的数值都填写到位，这样工作表中相关的汇总区域才能对应得上。请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt is minimal and scenario-based, identifies the Data sheet and Blue/blue range I3:I14, mentions the natural dependency without giving operational hints, and avoids formulas or masked values.",
+  "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": 36.1,
+  "attempt": 1
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02064/release_qc.json

@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "CORRECT: clean chain mask over real cells, correct deterministic formulas, and sufficient visible evidence to reconstruct Month/Year prerequisites and Blue monthly counts.",
+  "D1": {
+    "score": 5,
+    "reason": "All 60 contract cells are real in-sheet cells and all were truly masked; there are no extra masked cells and no unmasked contract cells. The prerequisite masking of C2:C25 and D2:D25 is consistent with the depth-2 chain design. Any adjacent visible summary structure is acceptable and does not make the full chain zero-reasoning trivial because the solver must still reconstruct Month and Year from Date."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The layer-1 formulas consistently count Color=Blue, Month matching F3:F14, and Year matching H1 over rows 2:25. The cached results match the visible source data: 2018 blue counts by month are 0,1,0,2,1,1,0,2,0,0,1,1. Formulas are deterministic and structurally consistent."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL clearly identifies the Data sheet, the monthly block, the Blue/blue column, and the exact target range I3:I14. It also mentions Date, Qtr, Month, Year, and Color, giving context for the dependency chain. Minor weakness: it does not explicitly say that the hidden Month and Year helper columns also need to be restored."
+  },
+  "D4": {
+    "score": 5,
+    "reason": "Using only mask_last.xlsx and the NL, the task is reconstructible. Dates and colors are visible, C and D have clear headers Month and Year, and E contains visible quarter formulas derived from Date, strongly indicating that C and D should also derive from Date. The month labels Jan-Dec and year headers 2018/2019 are visible, as are the Red/Green/Blue monthly summary layout and related summary blocks. The Blue counts can be inferred as month-by-color counts for year 2018 after restoring Month and Year.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 5,
+    "reason": "The source workbook data is coherent: dates, colors, helper columns, monthly/yearly/quarterly summaries, and formulas are consistent. No evidence of corrupted values, circular references, broken formulas, or phantom ranges. Headers are meaningful enough for the intended task."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The prompt sounds like a natural workplace spreadsheet request, referring to a sales pipeline view and asking for the blank Blue entries to be completed. It avoids benchmark jargon and is reasonably concise."
+  },
+  "total": 29,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality task: clean masking, correct ground truth, sound source data, and enough visible root evidence for a solver to reconstruct the dependency chain. Only a minor NL explicitness issue around helper columns.",
+  "frontier_hardness": {
+    "score": 2,
+    "reason": "This is a short single-sheet depth-2 chain with straightforward helper columns and a recognizable COUNTIFS-style monthly color summary. A frontier model should likely infer Month, Year, and Blue monthly counts from the visible data and headers.",
+    "fail_reason": "easy",
+    "is_valid_hardness": false
+  },
+  "_prompt_chars": 45545,
+  "_timing_load_workbooks": 0.06,
+  "_timing_context": 0.0,
+  "_timing_api": 30.4,
+  "local_difficulty": {
+    "difficulty_score": 37.8,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 60,
+    "is_cross_sheet": false,
+    "unique_patterns": 3,
+    "avg_complexity": 3,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.455
+  },
+  "task_id": "single_sheet__dag_38b3b898ecd4",
+  "elapsed": 30.5,
+  "publish_decision": "YES",
+  "release_tier": "GOLD",
+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02064/target_contract.json

@@ -0,0 +1,120 @@
+{
+  "task_id": "single_sheet__dag_38b3b898ecd4",
+  "category": "single_sheet",
+  "depth": 2,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "Data",
+        "column": "I",
+        "column_header": "Blue",
+        "cell_range": "I3:I14",
+        "cell_count": 12,
+        "rows": [
+          3,
+          4,
+          5,
+          6,
+          7,
+          8,
+          9,
+          10,
+          11,
+          12,
+          13,
+          14
+        ],
+        "first_row_label": "red",
+        "last_row_label": "green"
+      }
+    ],
+    "cell_count": 12,
+    "formula_families": [
+      "conditional"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Data",
+          "column": "C",
+          "column_header": "Month",
+          "cell_range": "C2:C25",
+          "cell_count": 24,
+          "rows": [
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+            3,
+            4,
+            5,
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+            18,
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+            20,
+            21,
+            22,
+            23,
+            24,
+            25
+          ],
+          "first_row_label": "red",
+          "last_row_label": "blue"
+        },
+        {
+          "sheet": "Data",
+          "column": "D",
+          "column_header": "Year",
+          "cell_range": "D2:D25",
+          "cell_count": 24,
+          "rows": [
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+          ],
+          "first_row_label": "red",
+          "last_row_label": "blue"
+        }
+      ],
+      "cell_count": 48
+    }
+  ],
+  "total_prerequisite_cells": 48,
+  "total_masked_cells": 60,
+  "ratio_total_vs_final": 5.0,
+  "sheets_involved": [
+    "Data"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02064/task_meta.json

@@ -0,0 +1,46 @@
+{
+  "fcb_id": "FCB-02064",
+  "task_id": "single_sheet__dag_38b3b898ecd4",
+  "tier": "T3_MEDIUM",
+  "category": "single_sheet",
+  "depth": 2,
+  "total_masked": 60,
+  "is_cross_sheet": false,
+  "prompt_en": "On the Data sheet, the sales pipeline view ties Date, Qtr, Month, Year, and Color to a MONTHS block with red, Green, and blue columns. The blue column in that monthly block still has blanks; please fill in the Blue/blue entries in I3:I14. Make sure the month-by-color figures are in place so the related summary area on the sheet makes sense. Please save the completed workbook as an .xlsx file.",
+  "prompt_cn": "在 Data 工作表中，这个销售管道视图把 Date、Qtr、Month、Year 和 Color 与 MONTHS 区块中的 red、Green、blue 列对应起来。该月度区块里的 blue 列还有空白，请补全 I3:I14 中的 Blue/blue 项目。请确保按月份和颜色整理的数值都填写到位，这样工作表中相关的汇总区域才能对应得上。请将完成后的工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 29,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 4,
+    "D4": 5,
+    "D5": 5,
+    "D6": 5,
+    "frontier_hardness": 2,
+    "local_difficulty": 37.8
+  },
+  "source_file_id": "600669d1543903416-sumproduct-occurrences-occurring-by-month-quarter-and-year-counting-colors2",
+  "inferred_domain": "sales",
+  "domain_confidence": 0.25,
+  "sheet_profiles": [
+    {
+      "name": "Pivot",
+      "used_range": "A3:E23",
+      "row_count": 21,
+      "col_count": 5,
+      "has_header": false,
+      "title_hint": "Pivot",
+      "header_info": null
+    },
+    {
+      "name": "Data",
+      "used_range": "A1:U25",
+      "row_count": 25,
+      "col_count": 21,
+      "has_header": false,
+      "title_hint": "Data",
+      "header_info": null
+    }
+  ]
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02101/layers.json

@@ -0,0 +1,190 @@
+{
+  "dag_id": "dag_4bb26e0e64d1",
+  "file_id": "jonathan_mckay__17194__JonMCKAY061101",
+  "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": [
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+      "layer_index": 1,
+      "new_pattern_groups": [
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+          "region_ids": [
+            "rg_00000",
+            "rg_00001",
+            "rg_00002",
+            "rg_00003",
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+            "rg_00005",
+            "rg_00006",
+            "rg_00007",
+            "rg_00008",
+            "rg_00009"
+          ],
+          "sheet": "JonMckay-Mon10",
+          "col": "B",
+          "rows": [
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+          "row_count": 60,
+          "pattern_id": "pf_0000",
+          "normalized_pattern": "=1+[C,R-1]",
+          "sample_formula": "=1+B15"
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+      ],
+      "new_eval_cells": 60,
+      "total_masked_cells": 60
+    },
+    {
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+      "new_pattern_groups": [
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+            "rg_00034",
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+          "pattern_id": "pf_0004",
+          "normalized_pattern": "=1+[C,R+17]",
+          "sample_formula": "=1+B45"
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+        {
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+            "rg_00041",
+            "rg_00042"
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+          "normalized_pattern": "=2+[C,R+17]",
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+        {
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+          "pattern_id": "pf_0009",
+          "normalized_pattern": "=3+[C,R+17]",
+          "sample_formula": "=3+B32"
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+        {
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+          "sheet": "JonMckay-Mon10",
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+          "pattern_id": "pf_0010",
+          "normalized_pattern": "=1+[C,R+19]",
+          "sample_formula": "=1+B116"
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+    "family_size": 60
+  }
+}