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@@ -248,3 +248,7 @@ FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-06133/layers_08_all/l
 FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-06133/layers_08_all/layer_07/layer_07_mask.xlsx filter=lfs diff=lfs merge=lfs -text
 FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-06133/layers_08_all/layer_08/layer_08_mask.xlsx filter=lfs diff=lfs merge=lfs -text
 FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-06258/layers_05_all/layer_01/layer_01_mask.xlsx filter=lfs diff=lfs merge=lfs -text
+FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00388/src.xlsx filter=lfs diff=lfs merge=lfs -text
+FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00388/mask_last.xlsx filter=lfs diff=lfs merge=lfs -text
+FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00417/src.xlsx filter=lfs diff=lfs merge=lfs -text
+FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00417/mask_last.xlsx filter=lfs diff=lfs merge=lfs -text

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

@@ -0,0 +1,580 @@
+{
+  "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=9999B, src=16472B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=10.7 (total=128, final=12) [WARN: high mask ratio]"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "12 unique values across 128 cells [WARN: low_discrimination layer_3_ground_truth: 32/36=89%; layer_4_ground_truth: 32/36=89%]"
+        },
+        {
+          "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: New Hire 1!E→D(10/12), New Hire 1!H→G(10/12), New Hire 1!K→J(12/12), New Hire 1!D→E(10/12), New Hire 1!G→H(10/12)"
+        },
+        {
+          "check": "header_name_accuracy",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "duplicate_lookup_tie_break",
+          "pass": true,
+          "detail": "no lookup formulas"
+        },
+        {
+          "check": "src_chain_integrity",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean",
+          "sub_checks": {
+            "error_cells": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "external_refs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "volatile_funcs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "missing_sheets": {
+              "pass": true,
+              "count": 0,
+              "sheets": []
+            },
+            "circular_refs": {
+              "pass": true,
+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
+        }
+      ]
+    },
+    "post_nl_validate": {
+      "validate_label": "SOFT_WARN",
+      "validate_pass": true,
+      "hard_fails": 0,
+      "soft_warns": 2,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": false,
+          "detail": "contract=11, prompt=1, missing=5",
+          "missing_ranges": [
+            "G21:G32",
+            "J21:J32",
+            "M6:M13",
+            "P21:P32",
+            "Q21:Q32"
+          ],
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "cell_count_match",
+          "pass": true,
+          "detail": "no explicit total found; skipping (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "step_count_match",
+          "pass": true,
+          "detail": "contract=4, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": true,
+          "detail": "contract=['New Hire 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 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 11 col groups; CONFLICTS: New Hire 1!E33: visible='=SUM(E21:E32)' vs GT pattern='=D#*B#'; New Hire 1!H33: visible='=SUM(H21:H32)' vs GT pattern='=G#*B#'"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": false,
+          "detail": "GT funcs: ['SUM', 'SUMIFS']; MISMATCHES: GT uses SUMIFS but NL doesn't mention any of: condition, criteria, meet, multiple",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "unmatched_default_rule",
+          "pass": true,
+          "detail": "no default-rule phrase found in NL",
+          "severity": "OK"
+        },
+        {
+          "check": "volatile_function_freeze",
+          "pass": true,
+          "detail": "volatile_cells=0",
+          "severity": "OK"
+        },
+        {
+          "check": "direct_answer_leakage",
+          "pass": true,
+          "detail": "0 leaks out of 128 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": 128,
+      "total_non_none": 128,
+      "block_reasons": [],
+      "warnings": [],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "int": 128
+          },
+          "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": 128
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 128,
+      "total_masked": 128,
+      "total_visible": 144,
+      "depth": 5,
+      "block_reasons": [
+        "broken_chains:39/128=30.5%"
+      ],
+      "warnings": [],
+      "checks": {
+        "broken_chains": {
+          "count": 39,
+          "checked": 128,
+          "details": [
+            {
+              "cell": "New Hire 1!D22",
+              "missing_dep": "New Hire 1!A11",
+              "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"IT\",$B$6:$B$13,\"Nov\")"
+            },
+            {
+              "cell": "New Hire 1!M12",
+              "missing_dep": "New Hire 1!J12",
+              "formula": "=J12*L12*K12"
+            },
+            {
+              "cell": "New Hire 1!G31",
+              "missing_dep": "New Hire 1!A11",
+              "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Feb\")"
+            },
+            {
+              "cell": "New Hire 1!G24",
+              "missing_dep": "New Hire 1!A11",
+              "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Sep\")"
+            },
+            {
+              "cell": "New Hire 1!G26",
+              "missing_dep": "New Hire 1!A11",
+              "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Jul\")"
+            },
+            {
+              "cell": "New Hire 1!J26",
+              "missing_dep": "New Hire 1!A11",
+              "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Jul\")"
+            },
+            {
+              "cell": "New Hire 1!D31",
+              "missing_dep": "New Hire 1!A11",
+              "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"IT\",$B$6:$B$13,\"Feb\")"
+            },
+            {
+              "cell": "New Hire 1!G28",
+              "missing_dep": "New Hire 1!A11",
+              "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"May\")"
+            },
+            {
+              "cell": "New Hire 1!D24",
+              "missing_dep": "New Hire 1!A11",
+              "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"IT\",$B$6:$B$13,\"Sep\")"
+            },
+            {
+              "cell": "New Hire 1!M11",
+              "missing_dep": "New Hire 1!J11",
+              "formula": "=J11*L11*K11"
+            },
+            {
+              "cell": "New Hire 1!J28",
+              "missing_dep": "New Hire 1!A11",
+              "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"May\")"
+            },
+            {
+              "cell": "New Hire 1!G21",
+              "missing_dep": "New Hire 1!A11",
+              "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Dec\")"
+            },
+            {
+              "cell": "New Hire 1!G30",
+              "missing_dep": "New Hire 1!A11",
+              "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Mar\")"
+            },
+            {
+              "cell": "New Hire 1!J21",
+              "missing_dep": "New Hire 1!A11",
+              "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Dec\")"
+            },
+            {
+              "cell": "New Hire 1!D26",
+              "missing_dep": "New Hire 1!A11",
+              "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"IT\",$B$6:$B$13,\"Jul\")"
+            },
+            {
+              "cell": "New Hire 1!M13",
+              "missing_dep": "New Hire 1!J13",
+              "formula": "=J13*L13*K13"
+            },
+            {
+              "cell": "New Hire 1!J30",
+              "missing_dep": "New Hire 1!A11",
+              "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Mar\")"
+            },
+            {
+              "cell": "New Hire 1!G23",
+              "missing_dep": "New Hire 1!A11",
+              "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Oct\")"
+            },
+            {
+              "cell": "New Hire 1!G32",
+              "missing_dep": "New Hire 1!A11",
+              "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Jan\")"
+            },
+            {
+              "cell": "New Hire 1!J23",
+              "missing_dep": "New Hire 1!A11",
+              "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Oct\")"
+            }
+          ]
+        },
+        "orphan_masks": {
+          "count": 0,
+          "details": []
+        },
+        "self_contained": {
+          "missing_sheets": []
+        }
+      }
+    },
+    "exemplar": {
+      "soft_block": true,
+      "block_reasons": [
+        "zero_exemplar:38_patterns"
+      ],
+      "checks": {
+        "pattern_coverage": {
+          "pass": false,
+          "total_gt_patterns": 41,
+          "total_src_patterns": 44,
+          "zero_exemplar_count": 38,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": false,
+          "patterns": [
+            {
+              "pattern": "=SUMIFS(RANGE,RANGE,\"IT\",RANGE,\"MAY\")",
+              "total_in_src": 1,
+              "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"IT\",$B$6:$B$13,\"May\")"
+            },
+            {
+              "pattern": "=SUMIFS(RANGE,RANGE,\"IT\",RANGE,\"OCT\")",
+              "total_in_src": 1,
+              "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"IT\",$B$6:$B$13,\"Oct\")"
+            },
+            {
+              "pattern": "=SUMIFS(RANGE,RANGE,\"FS\",RANGE,\"MAR\")",
+              "total_in_src": 1,
+              "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Mar\")"
+            },
+            {
+              "pattern": "=SUMIFS(RANGE,RANGE,\"AF\",RANGE,\"NOV\")",
+              "total_in_src": 1,
+              "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Nov\")"
+            },
+            {
+              "pattern": "=SUMIFS(RANGE,RANGE,\"FS\",RANGE,\"SEP\")",
+              "total_in_src": 1,
+              "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Sep\")"
+            },
+            {
+              "pattern": "=SUMIFS(RANGE,RANGE,\"FS\",RANGE,\"NOV\")",
+              "total_in_src": 1,
+              "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Nov\")"
+            },
+            {
+              "pattern": "=SUMIFS(RANGE,RANGE,\"IT\",RANGE,\"MAR\")",
+              "total_in_src": 1,
+              "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"IT\",$B$6:$B$13,\"Mar\")"
+            },
+            {
+              "pattern": "=SUMIFS(RANGE,RANGE,\"FS\",RANGE,\"APR\")",
+              "total_in_src": 1,
+              "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Apr\")"
+            },
+            {
+              "pattern": "=SUMIFS(RANGE,RANGE,\"AF\",RANGE,\"JUN\")",
+              "total_in_src": 1,
+              "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Jun\")"
+            },
+            {
+              "pattern": "=SUMIFS(RANGE,RANGE,\"IT\",RANGE,\"NOV\")",
+              "total_in_src": 1,
+              "sample_formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"IT\",$B$6:$B$13,\"Nov\")"
+            }
+          ]
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "SUM": {
+            "total_masked": 12,
+            "visible_exemplars": 19
+          },
+          "reference": {
+            "total_masked": 3,
+            "visible_exemplars": 3
+          },
+          "SUMIFS": {
+            "total_masked": 36,
+            "visible_exemplars": 0
+          },
+          "arithmetic": {
+            "total_masked": 77,
+            "visible_exemplars": 35
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.0,
+      "flags": []
+    },
+    "release_audit": {
+      "surface_single_sheet": true,
+      "surface_sheets": [
+        "New Hire 1"
+      ],
+      "cross_sheet_actual": false,
+      "cross_sheet_ref_count": 0,
+      "referenced_sheets": [],
+      "target_shape": "single_column_series",
+      "layer_sizes": [
+        12,
+        36,
+        36,
+        36,
+        8
+      ],
+      "mask_last_total_cells": 128,
+      "layer_growth_ratios": [
+        3.0,
+        1.0,
+        1.0,
+        0.2222
+      ],
+      "pattern_dominance_ratio": 0.0938,
+      "visible_clone_regions": 0,
+      "nearby_visible_clone_regions": 0,
+      "nearby_visible_clone_rows": 0,
+      "nearby_visible_clone_ratio": 0.0,
+      "promptability_score": 1.0,
+      "release_reasons": [],
+      "release_verdict": "KEEP"
+    }
+  },
+  "difficulty": {
+    "task_id": "single_sheet__dag_27c89f4dca48",
+    "difficulty_score": 72.2,
+    "difficulty": "hard",
+    "depth": 5,
+    "total_masked": 128,
+    "is_cross_sheet": false,
+    "unique_patterns": 47,
+    "avg_complexity": 6.0,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.077,
+    "score_breakdown": {
+      "depth": 25,
+      "cross_sheet": 0,
+      "cell_count": 14.0,
+      "patterns": 15,
+      "complexity": 9.0,
+      "cross_refs": 0,
+      "vis_penalty": 9.2
+    }
+  }
+}

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

@@ -0,0 +1,1154 @@
+[
+  {
+    "sheet": "New Hire 1",
+    "col": "S",
+    "row": 21,
+    "formula": "=SUM(O21:Q21)",
+    "cached_value": 1878,
+    "pattern_id": "pf_0009",
+    "layer": 1
+  },
+  {
+    "sheet": "New Hire 1",
+    "col": "S",
+    "row": 22,
+    "formula": "=SUM(O22:Q22)",
+    "cached_value": 1878,
+    "pattern_id": "pf_0009",
+    "layer": 1
+  },
+  {
+    "sheet": "New Hire 1",
+    "col": "S",
+    "row": 23,
+    "formula": "=SUM(O23:Q23)",
+    "cached_value": 1878,
+    "pattern_id": "pf_0009",
+    "layer": 1
+  },
+  {
+    "sheet": "New Hire 1",
+    "col": "S",
+    "row": 24,
+    "formula": "=SUM(O24:Q24)",
+    "cached_value": 1878,
+    "pattern_id": "pf_0009",
+    "layer": 1
+  },
+  {
+    "sheet": "New Hire 1",
+    "col": "S",
+    "row": 25,
+    "formula": "=SUM(O25:Q25)",
+    "cached_value": 1878,
+    "pattern_id": "pf_0009",
+    "layer": 1
+  },
+  {
+    "sheet": "New Hire 1",
+    "col": "S",
+    "row": 26,
+    "formula": "=SUM(O26:Q26)",
+    "cached_value": 1878,
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+    "cached_value": 0,
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+  {
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+    "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Sep\")",
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+    "pattern_id": "pf_0032",
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+    "pattern_id": "pf_0033",
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+    "cached_value": 0,
+    "pattern_id": "pf_0034",
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+    "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Jul\")",
+    "cached_value": 0,
+    "pattern_id": "pf_0035",
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+    "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"IT\",$B$6:$B$13,\"Jun\")",
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+    "pattern_id": "pf_0036",
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+    "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Jun\")",
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+    "pattern_id": "pf_0037",
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+    "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Jun\")",
+    "cached_value": 0,
+    "pattern_id": "pf_0038",
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+  {
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+    "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"IT\",$B$6:$B$13,\"May\")",
+    "cached_value": 0,
+    "pattern_id": "pf_0039",
+    "layer": 4
+  },
+  {
+    "sheet": "New Hire 1",
+    "col": "G",
+    "row": 28,
+    "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"May\")",
+    "cached_value": 0,
+    "pattern_id": "pf_0040",
+    "layer": 4
+  },
+  {
+    "sheet": "New Hire 1",
+    "col": "J",
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+    "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"May\")",
+    "cached_value": 0,
+    "pattern_id": "pf_0041",
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+  {
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+    "cached_value": 1350,
+    "pattern_id": "pf_0042",
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+  },
+  {
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+    "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Apr\")",
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+  {
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+    "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"FS\",$B$6:$B$13,\"Apr\")",
+    "cached_value": 0,
+    "pattern_id": "pf_0044",
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+  },
+  {
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+    "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"IT\",$B$6:$B$13,\"Mar\")",
+    "cached_value": 0,
+    "pattern_id": "pf_0045",
+    "layer": 4
+  },
+  {
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+    "formula": "=SUMIFS($M$6:$M$13,$A$6:$A$13,\"AF\",$B$6:$B$13,\"Mar\")",
+    "cached_value": 0,
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+  },
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+  },
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+    "formula": "=J13*L13*K13",
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+    "pattern_id": "pf_0012",
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+  }
+]

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

@@ -0,0 +1,98 @@
+[
+  {
+    "sheet": "New Hire 1",
+    "col": "S",
+    "row": 21,
+    "formula": "=SUM(O21:Q21)",
+    "cached_value": 1878,
+    "pattern_id": "pf_0009"
+  },
+  {
+    "sheet": "New Hire 1",
+    "col": "S",
+    "row": 22,
+    "formula": "=SUM(O22:Q22)",
+    "cached_value": 1878,
+    "pattern_id": "pf_0009"
+  },
+  {
+    "sheet": "New Hire 1",
+    "col": "S",
+    "row": 23,
+    "formula": "=SUM(O23:Q23)",
+    "cached_value": 1878,
+    "pattern_id": "pf_0009"
+  },
+  {
+    "sheet": "New Hire 1",
+    "col": "S",
+    "row": 24,
+    "formula": "=SUM(O24:Q24)",
+    "cached_value": 1878,
+    "pattern_id": "pf_0009"
+  },
+  {
+    "sheet": "New Hire 1",
+    "col": "S",
+    "row": 25,
+    "formula": "=SUM(O25:Q25)",
+    "cached_value": 1878,
+    "pattern_id": "pf_0009"
+  },
+  {
+    "sheet": "New Hire 1",
+    "col": "S",
+    "row": 26,
+    "formula": "=SUM(O26:Q26)",
+    "cached_value": 1878,
+    "pattern_id": "pf_0009"
+  },
+  {
+    "sheet": "New Hire 1",
+    "col": "S",
+    "row": 27,
+    "formula": "=SUM(O27:Q27)",
+    "cached_value": 1878,
+    "pattern_id": "pf_0009"
+  },
+  {
+    "sheet": "New Hire 1",
+    "col": "S",
+    "row": 28,
+    "formula": "=SUM(O28:Q28)",
+    "cached_value": 1878,
+    "pattern_id": "pf_0009"
+  },
+  {
+    "sheet": "New Hire 1",
+    "col": "S",
+    "row": 29,
+    "formula": "=SUM(O29:Q29)",
+    "cached_value": 1878,
+    "pattern_id": "pf_0009"
+  },
+  {
+    "sheet": "New Hire 1",
+    "col": "S",
+    "row": 30,
+    "formula": "=SUM(O30:Q30)",
+    "cached_value": 1068,
+    "pattern_id": "pf_0009"
+  },
+  {
+    "sheet": "New Hire 1",
+    "col": "S",
+    "row": 31,
+    "formula": "=SUM(O31:Q31)",
+    "cached_value": 1068,
+    "pattern_id": "pf_0009"
+  },
+  {
+    "sheet": "New Hire 1",
+    "col": "S",
+    "row": 32,
+    "formula": "=SUM(O32:Q32)",
+    "cached_value": 108,
+    "pattern_id": "pf_0009"
+  }
+]

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

@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "CORRECT — the mask is clean, targets are real, GT is consistent, and the chain is hard but reconstructible from visible headers, records, totals, and adjacent cumulative structures.",
+  "D1": {
+    "score": 5,
+    "reason": "All masked cells are within the actual sheet range and correspond to real populated/formula cells in the source. The mask boundary is clean: 128 contract cells truly masked, no contract cells left unmasked, and no extra masked cells outside the contract. The formula-cache-missing items are explicitly non-issues. No visible exemplar makes the final target trivially copyable; visible adjacent formulas and headers provide structural clues but still require dependency reasoning."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The final target formulas S21:S32 are consistent with the source pattern: each sums the YTD commission-by-class cells O:Q for the same row. Cached values are consistent with the visible source-derived totals, e.g. 1878 equals 30% of 4550 plus 30% of 1710 for the fully accumulated months, and later rows decrease consistently. The formulas are deterministic and non-ambiguous."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL prompt clearly identifies the sheet and final range S21:S32 and explains that related blank commission fields must be completed first. It is understandable, but somewhat high-level: it does not explicitly name all prerequisite ranges or describe the SUMIFS/YTD accumulation logic, so the solver must infer those from the workbook structure."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "Using only mask_last.xlsx plus the NL prompt, the task appears hard but solvable. The workbook exposes meaningful headers for GP, Commission, YTD GP Earned By Class, YTD Commission Earned By Class, class labels IT/AF/FS, month rows, monthly commission rates, top input records for GP/hour, percent, and hours, and visible totals/cumulative YTD GP values that reveal the bottom-up YTD structure. The top GP Earned calculation is strongly implied by the adjacent input columns and M14 total. The monthly class GP/commission and YTD commission columns can be inferred from visible class/month records, headers, rates, totals, and adjacent cumulative columns. There is no hidden constant beyond the visible 0.3 rate and visible row inputs. The main difficulty is connecting many masked columns and reconstructing the chain order, not lack of root evidence.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 5,
+    "reason": "The source spreadsheet appears internally sound: formulas are coherent, no circular or broken references are indicated, cached values align with formulas, and headers are meaningful for the commission workflow. The anonymized person labels do not harm data quality."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The NL prompt sounds like a plausible workplace spreadsheet-completion request. It avoids benchmark jargon, names the business context, identifies the needed output range, and naturally mentions that related commission fields must be completed first."
+  },
+  "total": 28,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality hard single-sheet chain task. The mask is clean, GT is correct, source data is sound, and the task is challenging but supported by visible workbook evidence. Minor NL vagueness is acceptable because the sheet structure supplies the needed clues.",
+  "frontier_hardness": {
+    "score": 4,
+    "reason": "This is genuinely hard for a frontier model because it requires reconstructing a depth-5 dependency chain across 128 masked cells, including GP earned, monthly class GP, monthly commission, bottom-up YTD commission by class, and final YTD commission totals. There is no cross-sheet dependency or hidden rule, but the number of interacting columns and patterns is substantial.",
+    "fail_reason": "deep_chain",
+    "is_valid_hardness": true
+  },
+  "_prompt_chars": 96898,
+  "_timing_load_workbooks": 0.04,
+  "_timing_context": 0.01,
+  "_timing_api": 121.66,
+  "local_difficulty": {
+    "difficulty_score": 72.2,
+    "difficulty": "hard",
+    "depth": 5,
+    "total_masked": 128,
+    "is_cross_sheet": false,
+    "unique_patterns": 47,
+    "avg_complexity": 6,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.077
+  },
+  "task_id": "single_sheet__dag_27c89f4dca48",
+  "elapsed": 121.7,
+  "publish_decision": "YES",
+  "release_tier": "FRONTIER_HARD",
+  "hard_block_reasons": []
+}

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

@@ -0,0 +1,294 @@
+{
+  "task_id": "single_sheet__dag_27c89f4dca48",
+  "category": "single_sheet",
+  "depth": 5,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "New Hire 1",
+        "column": "S",
+        "column_header": "YTD Commission",
+        "cell_range": "S21:S32",
+        "cell_count": 12,
+        "rows": [
+          21,
+          22,
+          23,
+          24,
+          25,
+          26,
+          27,
+          28,
+          29,
+          30,
+          31,
+          32
+        ],
+        "first_row_label": "Dec",
+        "last_row_label": "Jan"
+      }
+    ],
+    "cell_count": 12,
+    "formula_families": [
+      "aggregation"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 5,
+      "regions": [
+        {
+          "sheet": "New Hire 1",
+          "column": "M",
+          "column_header": "GP Earned",
+          "cell_range": "M6:M13",
+          "cell_count": 8,
+          "rows": [
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13
+          ],
+          "first_row_label": "af",
+          "last_row_label": ""
+        }
+      ],
+      "cell_count": 8
+    },
+    {
+      "layer": 4,
+      "regions": [
+        {
+          "sheet": "New Hire 1",
+          "column": "D",
+          "column_header": "IT",
+          "cell_range": "D21:D32",
+          "cell_count": 12,
+          "rows": [
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28,
+            29,
+            30,
+            31,
+            32
+          ],
+          "first_row_label": "Dec",
+          "last_row_label": "Jan"
+        },
+        {
+          "sheet": "New Hire 1",
+          "column": "G",
+          "column_header": "AF",
+          "cell_range": "G21:G32",
+          "cell_count": 12,
+          "rows": [
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28,
+            29,
+            30,
+            31,
+            32
+          ],
+          "first_row_label": "Dec",
+          "last_row_label": "Jan"
+        },
+        {
+          "sheet": "New Hire 1",
+          "column": "J",
+          "column_header": "FS",
+          "cell_range": "J21:J32",
+          "cell_count": 12,
+          "rows": [
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28,
+            29,
+            30,
+            31,
+            32
+          ],
+          "first_row_label": "Dec",
+          "last_row_label": "Jan"
+        }
+      ],
+      "cell_count": 36
+    },
+    {
+      "layer": 3,
+      "regions": [
+        {
+          "sheet": "New Hire 1",
+          "column": "E",
+          "column_header": "Commission",
+          "cell_range": "E21:E32",
+          "cell_count": 12,
+          "rows": [
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28,
+            29,
+            30,
+            31,
+            32
+          ],
+          "first_row_label": "Dec",
+          "last_row_label": "Jan"
+        },
+        {
+          "sheet": "New Hire 1",
+          "column": "H",
+          "column_header": "Commission",
+          "cell_range": "H21:H32",
+          "cell_count": 12,
+          "rows": [
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28,
+            29,
+            30,
+            31,
+            32
+          ],
+          "first_row_label": "Dec",
+          "last_row_label": "Jan"
+        },
+        {
+          "sheet": "New Hire 1",
+          "column": "K",
+          "column_header": "Commission",
+          "cell_range": "K21:K32",
+          "cell_count": 12,
+          "rows": [
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28,
+            29,
+            30,
+            31,
+            32
+          ],
+          "first_row_label": "Dec",
+          "last_row_label": "Jan"
+        }
+      ],
+      "cell_count": 36
+    },
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "New Hire 1",
+          "column": "O",
+          "column_header": "IT",
+          "cell_range": "O21:O32",
+          "cell_count": 12,
+          "rows": [
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28,
+            29,
+            30,
+            31,
+            32
+          ],
+          "first_row_label": "Dec",
+          "last_row_label": "Jan"
+        },
+        {
+          "sheet": "New Hire 1",
+          "column": "P",
+          "column_header": "AF",
+          "cell_range": "P21:P32",
+          "cell_count": 12,
+          "rows": [
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28,
+            29,
+            30,
+            31,
+            32
+          ],
+          "first_row_label": "Dec",
+          "last_row_label": "Jan"
+        },
+        {
+          "sheet": "New Hire 1",
+          "column": "Q",
+          "column_header": "FS",
+          "cell_range": "Q21:Q32",
+          "cell_count": 12,
+          "rows": [
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28,
+            29,
+            30,
+            31,
+            32
+          ],
+          "first_row_label": "Dec",
+          "last_row_label": "Jan"
+        }
+      ],
+      "cell_count": 36
+    }
+  ],
+  "total_prerequisite_cells": 116,
+  "total_masked_cells": 128,
+  "ratio_total_vs_final": 10.7,
+  "sheets_involved": [
+    "New Hire 1"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00337/audit.json

@@ -0,0 +1,417 @@
+{
+  "gate": {
+    "pre_nl_gate": {
+      "gate_label": "GATE_PASS",
+      "gate_pass": true,
+      "hard_fails": 0,
+      "warns": 0,
+      "checks": [
+        {
+          "check": "final_target_gate",
+          "pass": true,
+          "detail": "final_target has 17 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=28468B, src=41519B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=2.5 (total=42, final=17)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "32 unique values across 41 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: Proposed Cost Study!E→Cost Study!E(14/17), Proposed Cost Study!D→Cost Study!D(1/1), Proposed Cost Study!D→Cost Study!D(14/17)"
+        },
+        {
+          "check": "header_name_accuracy",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "duplicate_lookup_tie_break",
+          "pass": true,
+          "detail": "no lookup formulas"
+        },
+        {
+          "check": "src_chain_integrity",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean",
+          "sub_checks": {
+            "error_cells": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "external_refs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "volatile_funcs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "missing_sheets": {
+              "pass": true,
+              "count": 0,
+              "sheets": []
+            },
+            "circular_refs": {
+              "pass": true,
+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
+        }
+      ]
+    },
+    "post_nl_validate": {
+      "validate_label": "SOFT_WARN",
+      "validate_pass": true,
+      "hard_fails": 0,
+      "soft_warns": 2,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": true,
+          "detail": "contract=20, 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=4, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": true,
+          "detail": "contract=['Cost Study'], missing=[]",
+          "severity": "OK"
+        },
+        {
+          "check": "no_formula_leak",
+          "pass": true,
+          "detail": "0 formula leaks",
+          "severity": "OK"
+        },
+        {
+          "check": "no_value_leak",
+          "pass": true,
+          "detail": "0 value leaks out of 17 GT cells",
+          "severity": "OK"
+        },
+        {
+          "check": "final_target_first",
+          "pass": true,
+          "detail": "no explicit final target marker (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "output_format",
+          "pass": true,
+          "detail": "output format found",
+          "severity": "OK"
+        },
+        {
+          "check": "header_in_prompt",
+          "pass": true,
+          "detail": "no column headers found in prompt",
+          "severity": "OK"
+        },
+        {
+          "check": "hint_specificity",
+          "pass": false,
+          "detail": "issues: use the visible",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "evidence_scope",
+          "pass": false,
+          "detail": "referenced=1 mentioned=0 missing=1 [WFIS Data]",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 2 col groups; CONFLICTS: Cost Study!E13: visible='=SUM(E10:E12)' vs GT pattern='=D#/D$#'; Cost Study!E19: visible='=SUM(E16:E18)' vs GT pattern='=D#/D$#'"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": true,
+          "detail": "GT funcs: ['MAX', '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 42 GT cells (0%)",
+          "severity": "OK"
+        }
+      ]
+    },
+    "pre_nl_local": {
+      "local_total": 60,
+      "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": 10,
+        "nl_schema": 0,
+        "target_alignment": 0,
+        "business_specificity": 0,
+        "nl_risk": 0
+      }
+    }
+  },
+  "verify": {
+    "uniqueness": {
+      "total_gt_cells": 42,
+      "total_non_none": 42,
+      "block_reasons": [],
+      "warnings": [
+        "mixed_gt_types:{'float': 16, 'int': 26}"
+      ],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "float": 16,
+            "int": 26
+          },
+          "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": 42
+      }
+    },
+    "exemplar": {
+      "soft_block": false,
+      "block_reasons": [],
+      "checks": {
+        "pattern_coverage": {
+          "pass": true,
+          "total_gt_patterns": 9,
+          "total_src_patterns": 18,
+          "zero_exemplar_count": 0,
+          "low_exemplar_count": 5
+        },
+        "zero_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "low_exemplar_patterns": {
+          "pass": false,
+          "patterns": [
+            {
+              "pattern": "=REF-REF-SUM(RANGE)-REF",
+              "total_in_src": 2,
+              "sample_formula": "='WFIS Data'!$D$16-'WFIS Data'!$D$33-SUM('WFIS Data'!D42:D43)-'WFIS Data'!$D$47"
+            },
+            {
+              "pattern": "=REF+REF+REF",
+              "total_in_src": 2,
+              "sample_formula": "=D7+D37+D41"
+            },
+            {
+              "pattern": "=SUM(RANGE)+REF",
+              "total_in_src": 2,
+              "sample_formula": "=SUM('WFIS Data'!D68:D77)+'WFIS Data'!$D$80"
+            },
+            {
+              "pattern": "=SUM(RANGE)+SUM(RANGE)",
+              "total_in_src": 2,
+              "sample_formula": "=SUM('WFIS Data'!D35:D36)+SUM('WFIS Data'!D42:D51)"
+            },
+            {
+              "pattern": "=MAX(RANGE)+SUM(RANGE)",
+              "total_in_src": 2,
+              "sample_formula": "=MAX('WFIS Data'!D82:D83)+SUM('WFIS Data'!D85:D86)"
+            }
+          ]
+        },
+        "func_coverage": {
+          "arithmetic": {
+            "total_masked": 21,
+            "visible_exemplars": 247
+          },
+          "reference": {
+            "total_masked": 7,
+            "visible_exemplars": 89
+          },
+          "SUM": {
+            "total_masked": 13,
+            "visible_exemplars": 112
+          },
+          "MAX": {
+            "total_masked": 1,
+            "visible_exemplars": 1
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.5,
+      "flags": [
+        {
+          "code": "SC3",
+          "description": "Copy-from-visible: 17/42 GT cells have nearby visible formula clones",
+          "affected_cells": 17,
+          "severity": "medium"
+        }
+      ]
+    },
+    "release_audit": {
+      "surface_single_sheet": true,
+      "surface_sheets": [
+        "Cost Study"
+      ],
+      "cross_sheet_actual": true,
+      "cross_sheet_ref_count": 59,
+      "referenced_sheets": [
+        "WFIS Data"
+      ],
+      "target_shape": "template_column_fill",
+      "layer_sizes": [
+        17,
+        17,
+        4,
+        3,
+        1
+      ],
+      "mask_last_total_cells": 42,
+      "layer_growth_ratios": [
+        1.0,
+        0.2353,
+        0.75,
+        0.3333
+      ],
+      "pattern_dominance_ratio": 0.4048,
+      "visible_clone_regions": 16,
+      "nearby_visible_clone_regions": 5,
+      "nearby_visible_clone_rows": 5,
+      "nearby_visible_clone_ratio": 5.0,
+      "promptability_score": 0.52,
+      "release_reasons": [
+        "parallel_block_leakage",
+        "cross_sheet_metadata_mismatch"
+      ],
+      "release_verdict": "REBUILD_REQUIRED"
+    }
+  }
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00337/ground_truth_full.json

@@ -0,0 +1,380 @@
+[
+  {
+    "sheet": "Cost Study",
+    "col": "E",
+    "row": 6,
+    "formula": "=D6/D$7",
+    "cached_value": 1.365,
+    "pattern_id": "pf_0003",
+    "layer": 1
+  },
+  {
+    "sheet": "Cost Study",
+    "col": "E",
+    "row": 7,
+    "formula": "=D7/D$7",
+    "cached_value": 1,
+    "pattern_id": "pf_0003",
+    "layer": 1
+  },
+  {
+    "sheet": "Cost Study",
+    "col": "E",
+    "row": 10,
+    "formula": "=D10/D$7",
+    "cached_value": 0.07,
+    "pattern_id": "pf_0003",
+    "layer": 1
+  },
+  {
+    "sheet": "Cost Study",
+    "col": "E",
+    "row": 11,
+    "formula": "=D11/D$7",
+    "cached_value": 0.04,
+    "pattern_id": "pf_0003",
+    "layer": 1
+  },
+  {
+    "sheet": "Cost Study",
+    "col": "E",
+    "row": 12,
+    "formula": "=D12/D$7",
+    "cached_value": 0.03,
+    "pattern_id": "pf_0003",
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+  },
+  {
+    "sheet": "Cost Study",
+    "col": "E",
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+    "formula": "=D16/D$7",
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+    "sheet": "Cost Study",
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+    "formula": "=D18/D$7",
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+    "pattern_id": "pf_0003",
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+  },
+  {
+    "sheet": "Cost Study",
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+    "formula": "=D22/D$7",
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+  },
+  {
+    "sheet": "Cost Study",
+    "col": "E",
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+    "formula": "=D23/D$7",
+    "cached_value": 0.115,
+    "pattern_id": "pf_0003",
+    "layer": 1
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+    "sheet": "Cost Study",
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+  {
+    "sheet": "Cost Study",
+    "col": "E",
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+    "formula": "=D35/D$7",
+    "cached_value": 0.004,
+    "pattern_id": "pf_0003",
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+  },
+  {
+    "sheet": "Cost Study",
+    "col": "E",
+    "row": 36,
+    "formula": "=D36/D$7",
+    "cached_value": 0.006,
+    "pattern_id": "pf_0003",
+    "layer": 1
+  },
+  {
+    "sheet": "Cost Study",
+    "col": "D",
+    "row": 6,
+    "formula": "=D7+D37+D41",
+    "cached_value": 136500000,
+    "pattern_id": "pf_0024",
+    "layer": 2
+  },
+  {
+    "sheet": "Cost Study",
+    "col": "D",
+    "row": 7,
+    "formula": "='WFIS Data'!$D$16-'WFIS Data'!$D$33-SUM('WFIS Data'!D42:D43)-'WFIS Data'!$D$47",
+    "cached_value": 100000000,
+    "pattern_id": "pf_0025",
+    "layer": 2
+  },
+  {
+    "sheet": "Cost Study",
+    "col": "D",
+    "row": 10,
+    "formula": "='WFIS Data'!$D$20+'WFIS Data'!$D$21",
+    "cached_value": 7000000,
+    "pattern_id": "pf_0026",
+    "layer": 2
+  },
+  {
+    "sheet": "Cost Study",
+    "col": "D",
+    "row": 11,
+    "formula": "='WFIS Data'!$D$22+'WFIS Data'!$D$23",
+    "cached_value": 4000000,
+    "pattern_id": "pf_0027",
+    "layer": 2
+  },
+  {
+    "sheet": "Cost Study",
+    "col": "D",
+    "row": 12,
+    "formula": "=SUM('WFIS Data'!D24:D29)",
+    "cached_value": 3000000,
+    "pattern_id": "pf_0028",
+    "layer": 2
+  },
+  {
+    "sheet": "Cost Study",
+    "col": "D",
+    "row": 16,
+    "formula": "='WFIS Data'!$D$30",
+    "cached_value": 3000000,
+    "pattern_id": "pf_0029",
+    "layer": 2
+  },
+  {
+    "sheet": "Cost Study",
+    "col": "D",
+    "row": 17,
+    "formula": "=SUM('WFIS Data'!D35:D36)+SUM('WFIS Data'!D42:D51)",
+    "cached_value": 500000,
+    "pattern_id": "pf_0030",
+    "layer": 2
+  },
+  {
+    "sheet": "Cost Study",
+    "col": "D",
+    "row": 18,
+    "formula": "=SUM('WFIS Data'!D37:D41)",
+    "cached_value": 2500000,
+    "pattern_id": "pf_0031",
+    "layer": 2
+  },
+  {
+    "sheet": "Cost Study",
+    "col": "D",
+    "row": 22,
+    "formula": "='WFIS Data'!$D$64",
+    "cached_value": 500000,
+    "pattern_id": "pf_0032",
+    "layer": 2
+  },
+  {
+    "sheet": "Cost Study",
+    "col": "D",
+    "row": 24,
+    "formula": "='WFIS Data'!$D$78",
+    "cached_value": 250000,
+    "pattern_id": "pf_0034",
+    "layer": 2
+  },
+  {
+    "sheet": "Cost Study",
+    "col": "D",
+    "row": 25,
+    "formula": "='WFIS Data'!$D$79",
+    "cached_value": 250000,
+    "pattern_id": "pf_0035",
+    "layer": 2
+  },
+  {
+    "sheet": "Cost Study",
+    "col": "D",
+    "row": 30,
+    "formula": "=MAX('WFIS Data'!D82:D83)+SUM('WFIS Data'!D85:D86)",
+    "cached_value": 6000000,
+    "pattern_id": "pf_0036",
+    "layer": 2
+  },
+  {
+    "sheet": "Cost Study",
+    "col": "D",
+    "row": 34,
+    "formula": "=SUM('WFIS Data'!D54:D55)",
+    "cached_value": 7000000,
+    "pattern_id": "pf_0037",
+    "layer": 2
+  },
+  {
+    "sheet": "Cost Study",
+    "col": "D",
+    "row": 35,
+    "formula": "='WFIS Data'!$D$56",
+    "cached_value": 400000,
+    "pattern_id": "pf_0038",
+    "layer": 2
+  },
+  {
+    "sheet": "Cost Study",
+    "col": "D",
+    "row": 36,
+    "formula": "=SUM('WFIS Data'!D60:D63)",
+    "cached_value": 600000,
+    "pattern_id": "pf_0039",
+    "layer": 2
+  },
+  {
+    "sheet": "Cost Study",
+    "col": "D",
+    "row": 23,
+    "formula": "=SUM('WFIS Data'!D68:D77)+'WFIS Data'!$D$80",
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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00337/ground_truth_target.json

@@ -0,0 +1,138 @@
+[
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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00337/layers.json

@@ -0,0 +1,430 @@
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+          "sample_formula": "=SUM('WFIS Data'!D54:D55)"
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+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00337/nl_task.json

@@ -0,0 +1,26 @@
+{
+  "task_id": "cross_sheet__dag_50ecb4328d4d",
+  "prompt_en": "The Cost Study sheet is a U.S. Department of Energy contractor expenditure summary for calendar year 2009, with sections such as PAYROLL and PAID LEAVE shown alongside columns like Sample Contractor, Actual Amount, Percent of Payroll, Cost per FTE, and Cost per hour. Please complete the blank entries in the Percent of Payroll column on the Cost Study sheet for the expenditure lines at E6:E7, E10:E12, E16:E18, E22:E25, E29:E30, and E34:E36. Some related blank fields in the workbook naturally need to be in place before these Percent of Payroll entries are finalized, so use the visible row labels and surrounding completed columns to keep the report consistent. When you’re done, save the completed workbook as an .xlsx file.",
+  "prompt_cn": "Cost Study 工作表是一份美国能源部 2009 日历年度承包商支出汇总，表中包含 PAYROLL、PAID LEAVE 等部分，并列有 Sample Contractor、Actual Amount、Percent of Payroll、Cost per FTE 和 Cost per hour 等栏目。请补全 Cost Study 工作表中 Percent of Payroll 列的空白项，位置为 E6:E7、E10:E12、E16:E18、E22:E25、E29:E30 和 E34:E36。工作簿中有些相关的空白字段需要先就位，这些 Percent of Payroll 项目才能最终保持一致；请根据可见的行标签和周围已完成的列来完善报表。完成后，请将工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt is minimal and business-focused, identifies the specific sheet, column, and ranges, and avoids formulas or operational instructions. It mentions the prerequisite relationship only in broad, natural terms without explaining calculation logic.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 23,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
+      "operation_words": 0,
+      "cell_range_density": 23,
+      "step_by_step": 0,
+      "column_operation_mapping": 0,
+      "formula_pattern_hints": 0
+    },
+    "operation_words_found": [],
+    "cell_ranges_found": 6
+  },
+  "version": "v7",
+  "model": "gpt-5.5",
+  "elapsed": 44.7,
+  "attempt": 2
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00337/release_qc.json

@@ -0,0 +1,57 @@
+{
+  "binary": true,
+  "binary_reason": "CORRECT — the mask is clean, cells are real, GT is consistent, and the task is solvable from visible workbook structure despite being hard.",
+  "D1": {
+    "score": 5,
+    "reason": "All 42 contract cells are truly masked and there are no extra masked cells or unmasked contract cells. The referenced ranges are within the actual Cost Study sheet dimensions. Visible formulas in nearby columns provide structural clues, but the full task is not a zero-reasoning same-column copy because the solver must understand percent-of-payroll relationships and masked Actual Amount dependencies."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The ground-truth formulas are deterministic and consistent with the source workbook structure. Final E formulas consistently compute each row's Actual Amount divided by payroll in D7, and cached values such as E7 = 1 and section percentages align with the visible totals."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL clearly identifies the sheet, target column, and exact cell ranges to complete. It also hints that related blank fields may need to be completed first. Minor weakness: it does not explicitly name WFIS Data as the source for Actual Amount inputs, but the workbook context and sheet names make this reasonably inferable."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "From mask_last.xlsx and the NL alone, the root evidence is mostly visible. Column headers identify Actual Amount, Percent of Payroll, Cost per hour, and hours worked; visible F-column formulas show the percent-of-payroll ratio pattern for the BLS side; visible K values and D46 provide an alternate way to reconstruct Actual Amounts; and row labels plus section totals expose the subtotal/rollup structure. The task remains difficult because many D formulas and rollups are masked simultaneously, but the dependency chain is reconstructible with effort. The main minor gap is that exact original cross-sheet WFIS references are not explicitly described in the NL, so a solver must infer them from workbook context or use the visible cost-per-hour relationships.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 5,
+    "reason": "The source workbook appears internally sound: formulas are coherent, headers are meaningful, sections and totals are consistent, and no evidence of broken references, circularity, corrupted values, or phantom ranges is present."
+  },
+  "D6": {
+    "score": 4,
+    "reason": "The NL sounds like a plausible workplace spreadsheet completion request and avoids benchmark jargon. It is slightly formal and range-heavy, but still natural enough for the task."
+  },
+  "total": 27,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality chain-masked task with clean masking, valid GT, coherent source data, and sufficient visible evidence. The only notable weakness is that the NL could more explicitly mention WFIS Data as a supporting source, but this is not severe enough to hold publication.",
+  "frontier_hardness": {
+    "score": 4,
+    "reason": "This is a hard task because it requires reconstructing a multi-layer dependency chain across 42 masked cells, including rollups and cross-sheet Actual Amount logic. Although visible K/F columns provide strong structural clues and prevent it from being unsolvable, a frontier model would still likely struggle to recover the whole workbook-consistent chain exactly.",
+    "fail_reason": "deep_chain",
+    "is_valid_hardness": true
+  },
+  "_prompt_chars": 53605,
+  "local_difficulty": {
+    "difficulty_score": 89.3,
+    "difficulty": "hard",
+    "depth": 5,
+    "total_masked": 42,
+    "is_cross_sheet": true,
+    "unique_patterns": 12,
+    "avg_complexity": 8,
+    "cross_refs": 24,
+    "visible_exemplar_ratio": 0.346
+  },
+  "_timing_context": 360.4,
+  "_timing_api": 48.9,
+  "task_id": "cross_sheet__dag_50ecb4328d4d",
+  "elapsed": 409.2,
+  "publish_decision": "YES",
+  "release_tier": "FRONTIER_HARD",
+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00337/target_contract.json

@@ -0,0 +1,142 @@
+{
+  "task_id": "cross_sheet__dag_50ecb4328d4d",
+  "category": "cross_sheet",
+  "depth": 5,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "Cost Study",
+        "column": "E",
+        "column_header": "Percent of Payroll",
+        "cell_range": "E6:E7, E10:E12, E16:E18, E22:E25, E29:E30, E34:E36",
+        "cell_count": 17,
+        "rows": [
+          6,
+          7,
+          10,
+          11,
+          12,
+          16,
+          17,
+          18,
+          22,
+          23,
+          24,
+          25,
+          29,
+          30,
+          34,
+          35,
+          36
+        ],
+        "first_row_label": "Total Compensation",
+        "last_row_label": "Workers' Compensation"
+      }
+    ],
+    "cell_count": 17,
+    "formula_families": [
+      "arithmetic"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 5,
+      "regions": [
+        {
+          "sheet": "Cost Study",
+          "column": "D",
+          "column_header": "Actual Amount",
+          "cell_range": "D40",
+          "cell_count": 1,
+          "rows": [
+            40
+          ],
+          "first_row_label": "Paid Leave",
+          "last_row_label": ""
+        }
+      ],
+      "cell_count": 1
+    },
+    {
+      "layer": 4,
+      "regions": [
+        {
+          "sheet": "Cost Study",
+          "column": "D",
+          "column_header": "Actual Amount",
+          "cell_range": "D26, D31, D42",
+          "cell_count": 3,
+          "rows": [
+            26,
+            31,
+            42
+          ],
+          "first_row_label": "TOTAL D",
+          "last_row_label": "Total G"
+        }
+      ],
+      "cell_count": 3
+    },
+    {
+      "layer": 3,
+      "regions": [
+        {
+          "sheet": "Cost Study",
+          "column": "D",
+          "column_header": "Actual Amount",
+          "cell_range": "D13, D19, D37, D41",
+          "cell_count": 4,
+          "rows": [
+            13,
+            19,
+            37,
+            41
+          ],
+          "first_row_label": "TOTAL B",
+          "last_row_label": "Insurance plus Retirement and Savings"
+        }
+      ],
+      "cell_count": 4
+    },
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Cost Study",
+          "column": "D",
+          "column_header": "Actual Amount",
+          "cell_range": "D6:D7, D10:D12, D16:D18, D22:D25, D29:D30, D34:D36",
+          "cell_count": 17,
+          "rows": [
+            6,
+            7,
+            10,
+            11,
+            12,
+            16,
+            17,
+            18,
+            22,
+            23,
+            24,
+            25,
+            29,
+            30,
+            34,
+            35,
+            36
+          ],
+          "first_row_label": "Total Compensation",
+          "last_row_label": "Workers' Compensation"
+        }
+      ],
+      "cell_count": 17
+    }
+  ],
+  "total_prerequisite_cells": 25,
+  "total_masked_cells": 42,
+  "ratio_total_vs_final": 2.5,
+  "sheets_involved": [
+    "Cost Study"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00337/task_meta.json

@@ -0,0 +1,64 @@
+{
+  "fcb_id": "FCB-00337",
+  "task_id": "cross_sheet__dag_50ecb4328d4d",
+  "tier": "T1_FRONTIER",
+  "category": "cross_sheet",
+  "depth": 5,
+  "total_masked": 42,
+  "is_cross_sheet": true,
+  "prompt_en": "The Cost Study sheet is a U.S. Department of Energy contractor expenditure summary for calendar year 2009, with sections such as PAYROLL and PAID LEAVE shown alongside columns like Sample Contractor, Actual Amount, Percent of Payroll, Cost per FTE, and Cost per hour. Please complete the blank entries in the Percent of Payroll column on the Cost Study sheet for the expenditure lines at E6:E7, E10:E12, E16:E18, E22:E25, E29:E30, and E34:E36. Some related blank fields in the workbook naturally need to be in place before these Percent of Payroll entries are finalized, so use the visible row labels and surrounding completed columns to keep the report consistent. When you’re done, save the completed workbook as an .xlsx file.",
+  "prompt_cn": "Cost Study 工作表是一份美国能源部 2009 日历年度承包商支出汇总，表中包含 PAYROLL、PAID LEAVE 等部分，并列有 Sample Contractor、Actual Amount、Percent of Payroll、Cost per FTE 和 Cost per hour 等栏目。请补全 Cost Study 工作表中 Percent of Payroll 列的空白项，位置为 E6:E7、E10:E12、E16:E18、E22:E25、E29:E30 和 E34:E36。工作簿中有些相关的空白字段需要先就位，这些 Percent of Payroll 项目才能最终保持一致；请根据可见的行标签和周围已完成的列来完善报表。完成后，请将工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 27,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 4,
+    "D4": 4,
+    "D5": 5,
+    "D6": 4,
+    "frontier_hardness": 4,
+    "local_difficulty": 89.3
+  },
+  "source_file_id": "0160301b-c502-49f1-9562-834ed0b33d01",
+  "inferred_domain": "data_analysis",
+  "domain_confidence": 0.75,
+  "sheet_profiles": [
+    {
+      "name": "WFIS Data",
+      "used_range": "A1:Q126",
+      "row_count": 126,
+      "col_count": 17,
+      "has_header": false,
+      "title_hint": "WFIS Data",
+      "header_info": null
+    },
+    {
+      "name": "BLS Table Data",
+      "used_range": "A1:K48",
+      "row_count": 48,
+      "col_count": 11,
+      "has_header": false,
+      "title_hint": "BLS Table Data",
+      "header_info": null
+    },
+    {
+      "name": "Cost Study",
+      "used_range": "A1:O46",
+      "row_count": 46,
+      "col_count": 15,
+      "has_header": false,
+      "title_hint": "Cost Study",
+      "header_info": null
+    },
+    {
+      "name": "Proposed Cost Study",
+      "used_range": "A1:O46",
+      "row_count": 46,
+      "col_count": 15,
+      "has_header": false,
+      "title_hint": "Proposed Cost Study",
+      "header_info": null
+    }
+  ]
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00388/audit.json

@@ -0,0 +1,395 @@
+{
+  "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 10 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=219250B, src=324131B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=7.8 (total=78, final=10)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "39 unique values across 77 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: Red Rock & New Ks!V→U(3/6)"
+        },
+        {
+          "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": true,
+          "detail": "contract=42, prompt=10, 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=4, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": false,
+          "detail": "contract=['Out Years Data Input', 'Red Rock & New Ks'], missing=['Red Rock & New Ks']",
+          "severity": "INFO"
+        },
+        {
+          "check": "no_formula_leak",
+          "pass": true,
+          "detail": "0 formula leaks",
+          "severity": "OK"
+        },
+        {
+          "check": "no_value_leak",
+          "pass": true,
+          "detail": "0 value leaks out of 10 GT cells",
+          "severity": "OK"
+        },
+        {
+          "check": "final_target_first",
+          "pass": true,
+          "detail": "no explicit final target marker (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "output_format",
+          "pass": true,
+          "detail": "output format found",
+          "severity": "OK"
+        },
+        {
+          "check": "header_in_prompt",
+          "pass": true,
+          "detail": "no column headers found in prompt",
+          "severity": "OK"
+        },
+        {
+          "check": "hint_specificity",
+          "pass": true,
+          "detail": "clean",
+          "severity": "OK"
+        },
+        {
+          "check": "evidence_scope",
+          "pass": false,
+          "detail": "referenced=1 mentioned=0 missing=1 [Red Rock & New Ks]",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 2 col groups; CONFLICTS: Out Years Data Input!O19: visible='='Negociate Rate K'!V27' vs GT pattern='='Red Rock & New Ks'!U#'; Out Years Data Input!O95: visible='=SUM(O94)' vs GT pattern='='Red Rock & New Ks'!U#'"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": true,
+          "detail": "GT funcs: ['IF', 'ROUND', '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 78 GT cells (0%)",
+          "severity": "OK"
+        }
+      ]
+    },
+    "pre_nl_local": {
+      "local_total": 60,
+      "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": 10,
+        "nl_schema": 0,
+        "target_alignment": 0,
+        "business_specificity": 0,
+        "nl_risk": 0
+      }
+    }
+  },
+  "verify": {
+    "uniqueness": {
+      "total_gt_cells": 78,
+      "total_non_none": 78,
+      "block_reasons": [],
+      "warnings": [
+        "mixed_gt_types:{'int': 75, 'float': 3}"
+      ],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "int": 75,
+            "float": 3
+          },
+          "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": 78
+      }
+    },
+    "exemplar": {
+      "soft_block": false,
+      "block_reasons": [],
+      "checks": {
+        "pattern_coverage": {
+          "pass": true,
+          "total_gt_patterns": 6,
+          "total_src_patterns": 89,
+          "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": 11,
+            "visible_exemplars": 1110
+          },
+          "ROUND": {
+            "total_masked": 10,
+            "visible_exemplars": 1361
+          },
+          "arithmetic": {
+            "total_masked": 29,
+            "visible_exemplars": 4273
+          },
+          "IF": {
+            "total_masked": 10,
+            "visible_exemplars": 1130
+          },
+          "SUM": {
+            "total_masked": 18,
+            "visible_exemplars": 2787
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.5,
+      "flags": [
+        {
+          "code": "SC3",
+          "description": "Copy-from-visible: 22/78 GT cells have nearby visible formula clones",
+          "affected_cells": 22,
+          "severity": "medium"
+        }
+      ]
+    },
+    "release_audit": {
+      "surface_single_sheet": false,
+      "surface_sheets": [
+        "Out Years Data Input",
+        "Red Rock & New Ks"
+      ],
+      "cross_sheet_actual": true,
+      "cross_sheet_ref_count": 7,
+      "referenced_sheets": [
+        "Red Rock & New Ks"
+      ],
+      "target_shape": "template_column_fill",
+      "layer_sizes": [
+        10,
+        52,
+        9,
+        6,
+        1
+      ],
+      "mask_last_total_cells": 78,
+      "layer_growth_ratios": [
+        5.2,
+        0.1731,
+        0.6667,
+        0.1667
+      ],
+      "pattern_dominance_ratio": 0.1795,
+      "visible_clone_regions": 10,
+      "nearby_visible_clone_regions": 4,
+      "nearby_visible_clone_rows": 4,
+      "nearby_visible_clone_ratio": 4.0,
+      "promptability_score": 0.6,
+      "release_reasons": [
+        "parallel_block_leakage"
+      ],
+      "release_verdict": "REBUILD_REQUIRED"
+    }
+  }
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00388/ground_truth_full.json

@@ -0,0 +1,704 @@
+[
+  {
+    "sheet": "Out Years Data Input",
+    "col": "O",
+    "row": 58,
+    "formula": "=SUM(O53:O57)",
+    "cached_value": 53000,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Out Years Data Input",
+    "col": "O",
+    "row": 71,
+    "formula": "=SUM(O66:O70)",
+    "cached_value": 28000,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Out Years Data Input",
+    "col": "O",
+    "row": 93,
+    "formula": "=SUM(O88:O92)",
+    "cached_value": 415391,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Out Years Data Input",
+    "col": "O",
+    "row": 106,
+    "formula": "=SUM(O101:O105)",
+    "cached_value": 910125,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Out Years Data Input",
+    "col": "O",
+    "row": 166,
+    "formula": "=SUM(O161:O165)",
+    "cached_value": 281827,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Out Years Data Input",
+    "col": "O",
+    "row": 179,
+    "formula": "=SUM(O174:O178)",
+    "cached_value": 466100,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Out Years Data Input",
+    "col": "O",
+    "row": 190,
+    "formula": "=SUM(O185:O189)",
+    "cached_value": 176041.38999999998,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Out Years Data Input",
+    "col": "O",
+    "row": 203,
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+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00388/mask_last.xlsx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c82a4d9b837b73242c443ddd9c5cbf24dc8690f9810e0d53ff44d5d994e964f5
+size 219250

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00388/nl_task.json

@@ -0,0 +1,26 @@
+{
+  "task_id": "cross_sheet__dag_aad62ea109f6",
+  "prompt_en": "The Transwestern Pipeline Company 2002 Plan workbook tracks contract-related sales pipeline inputs across sheets such as Out Years Data Input, with visible sections for Red Rock Contracts, Resubscribed Contracts and Rate Increase, Inclusion Key, and monthly columns from January through May. On the Out Years Data Input sheet, the May column still has a few missing entries that need to be filled in for the plan data: O58, O71, O93, O106, O166, O179, O190, O203, O216, and O229. Please complete those May values in the context of the surrounding monthly contract data; the monthly figures need to be in place before the Fuel, MARGIN SUMMARY, Summary, and Annual Fuel Calc Alt areas are meaningful. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "这份 Transwestern Pipeline Company 2002 Plan 工作簿用于跟踪各个工作表中的合同相关销售管道输入数据，其中能看到 Out Years Data Input、Red Rock Contracts、Resubscribed Contracts and Rate Increase、Inclusion Key，以及从 January 到 May 的月度列。Out Years Data Input 工作表里的 May 列还有几处缺失，需要补全计划数据中的这些位置：O58、O71、O93、O106、O166、O179、O190、O203、O216 和 O229。请根据周围的月度合同数据，把这些 May 数值填写完整；月度数据到位后，Fuel、MARGIN SUMMARY、Summary 和 Annual Fuel Calc Alt 这些区域才有意义。请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt is minimal and business-focused, references only visible workbook labels and the specified target cells, avoids formulas and operational hints, and naturally notes that monthly figures support later summary areas.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 7,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
+      "operation_words": 0,
+      "cell_range_density": 7,
+      "step_by_step": 0,
+      "column_operation_mapping": 0,
+      "formula_pattern_hints": 0
+    },
+    "operation_words_found": [],
+    "cell_ranges_found": 0
+  },
+  "version": "v7",
+  "model": "gpt-5.5",
+  "elapsed": 19.8,
+  "attempt": 1
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00388/release_qc.json

@@ -0,0 +1,57 @@
+{
+  "binary": true,
+  "binary_reason": "Well-designed overall: real cross-sheet dependency chain with visible structural evidence, though the mask boundary has a small extra-masking anomaly.",
+  "D1": {
+    "score": 4,
+    "reason": "All contracted cells are within real sheet ranges and no phantom cells are indicated. The chain masking is intentional and the visible adjacent-month exemplars provide normal structural clues rather than making the full dependency chain entirely zero-reasoning. However, the mask diff reports 85 truly masked cells versus 78 contracted cells, with 7 extra-masked cells outside the contract, so the mask boundary is not perfectly clean."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The layer-1 ground-truth formulas are consistent subtotal formulas over the immediately preceding component rows, and the cached values align with the formulas and visible source context. The formulas are deterministic and do not depend on volatile or ambiguous functions."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL prompt clearly identifies the workbook context, the relevant sheet, the May column, and the exact final cells to fill. It does not explicitly describe that prerequisite chain cells are also blank by design, but that is acceptable for the benchmark setup and does not contradict the task."
+  },
+  "D4": {
+    "score": 5,
+    "reason": "Using only mask_last.xlsx and the NL prompt, the task is reconstructible. The May column is clearly labeled, the target cells are specified, and there are abundant visible formulas in adjacent month columns and neighboring rows showing the needed SUM, cross-sheet reference, arithmetic, ROUND, and IF patterns. Cross-sheet references to Red Rock & New Ks are visible in surrounding columns, and the masked Red Rock May demand cells have corresponding visible formulas in adjacent month groups and row-level structure. The chain is deep and laborious, but the root evidence for the required formulas is present.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 4,
+    "reason": "The source workbook appears structurally sound for the audited regions: formulas are coherent, headers/month groupings are consistent, and the relevant source data supports the cached values. There are external-style references elsewhere in the workbook context, but no evidence that they corrupt the target chain or ground truth."
+  },
+  "D6": {
+    "score": 4,
+    "reason": "The NL request reads mostly like a realistic workbook-completion request and avoids benchmark jargon. It is somewhat verbose and generic, but still natural enough for a workplace scenario."
+  },
+  "total": 26,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality hard cross-sheet chain task with correct GT and sufficient visible evidence. The only notable issue is minor extra masking outside the contract, which does not appear to affect solvability or correctness.",
+  "frontier_hardness": {
+    "score": 4,
+    "reason": "This is hard because it requires reconstructing a depth-5 dependency chain across Out Years Data Input and Red Rock & New Ks, with many masked intermediate cells and several distinct formula families. Visible exemplars make it solvable, but the volume of interacting formulas and cross-sheet references would likely challenge even a frontier model.",
+    "fail_reason": "deep_chain",
+    "is_valid_hardness": true
+  },
+  "_prompt_chars": 250108,
+  "local_difficulty": {
+    "difficulty_score": 85.7,
+    "difficulty": "hard",
+    "depth": 5,
+    "total_masked": 78,
+    "is_cross_sheet": true,
+    "unique_patterns": 9,
+    "avg_complexity": 16,
+    "cross_refs": 7,
+    "visible_exemplar_ratio": 0.885
+  },
+  "_timing_context": 564.7,
+  "_timing_api": 26.6,
+  "task_id": "cross_sheet__dag_aad62ea109f6",
+  "elapsed": 591.3,
+  "publish_decision": "YES",
+  "release_tier": "FRONTIER_HARD",
+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00388/src.xlsx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:90e8e9cd54daa5fd911d46609fdbabaf8ffd6edce22b22f3034e2e6d7559dfdc
+size 324131

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00388/target_contract.json

@@ -0,0 +1,190 @@
+{
+  "task_id": "cross_sheet__dag_aad62ea109f6",
+  "category": "cross_sheet",
+  "depth": 5,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "Out Years Data Input",
+        "column": "O",
+        "column_header": "May",
+        "cell_range": "O58, O71, O93, O106, O166, O179, O190, O203, O216, O229",
+        "cell_count": 10,
+        "rows": [
+          58,
+          71,
+          93,
+          106,
+          166,
+          179,
+          190,
+          203,
+          216,
+          229
+        ],
+        "first_row_label": "Total EAST           DEMAND",
+        "last_row_label": "Total WEST          DEMAND"
+      }
+    ],
+    "cell_count": 10,
+    "formula_families": [
+      "aggregation"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 5,
+      "regions": [
+        {
+          "sheet": "Red Rock & New Ks",
+          "column": "U",
+          "column_header": "May",
+          "cell_range": "U32",
+          "cell_count": 1,
+          "rows": [
+            32
+          ],
+          "first_row_label": "Sempra Energy",
+          "last_row_label": ""
+        }
+      ],
+      "cell_count": 1
+    },
+    {
+      "layer": 4,
+      "regions": [
+        {
+          "sheet": "Red Rock & New Ks",
+          "column": "U",
+          "column_header": "May",
+          "cell_range": "U14, U28, U34, U60, U66:U67",
+          "cell_count": 6,
+          "rows": [
+            14,
+            28,
+            34,
+            60,
+            66,
+            67
+          ],
+          "first_row_label": "Agave",
+          "last_row_label": "Oneok ([Person_2])"
+        }
+      ],
+      "cell_count": 6
+    },
+    {
+      "layer": 3,
+      "regions": [
+        {
+          "sheet": "Out Years Data Input",
+          "column": "O",
+          "column_header": "May",
+          "cell_range": "O59, O61, O64",
+          "cell_count": 3,
+          "rows": [
+            59,
+            61,
+            64
+          ],
+          "first_row_label": "IGNACIO        EL PASO BLANCO",
+          "last_row_label": "SAN JUAN       SJ - THOR"
+        },
+        {
+          "sheet": "Red Rock & New Ks",
+          "column": "U",
+          "column_header": "May",
+          "cell_range": "U21, U46, U70, U72, U84, U93",
+          "cell_count": 6,
+          "rows": [
+            21,
+            46,
+            70,
+            72,
+            84,
+            93
+          ],
+          "first_row_label": "TOTAL EOT TO EOT",
+          "last_row_label": "TOTAL WOT TO WOT"
+        }
+      ],
+      "cell_count": 9
+    },
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Out Years Data Input",
+          "column": "O",
+          "column_header": "May",
+          "cell_range": "O53, O66, O69:O70, O88:O92, O101:O105, O161:O165, O167, O169, O171:O172, O174:O178, O185:O189, O198:O202, O211:O215, O217, O219, O221:O222, O224:O228",
+          "cell_count": 52,
+          "rows": [
+            53,
+            66,
+            69,
+            70,
+            88,
+            89,
+            90,
+            91,
+            92,
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+            199,
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+            202,
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+            215,
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+            219,
+            221,
+            222,
+            224,
+            225,
+            226,
+            227,
+            228
+          ],
+          "first_row_label": "EAST           EOT -EOT",
+          "last_row_label": "WEST           WOT - WOT"
+        }
+      ],
+      "cell_count": 52
+    }
+  ],
+  "total_prerequisite_cells": 68,
+  "total_masked_cells": 78,
+  "ratio_total_vs_final": 7.8,
+  "sheets_involved": [
+    "Out Years Data Input",
+    "Red Rock & New Ks"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00388/task_meta.json

@@ -0,0 +1,91 @@
+{
+  "fcb_id": "FCB-00388",
+  "task_id": "cross_sheet__dag_aad62ea109f6",
+  "tier": "T1_FRONTIER",
+  "category": "cross_sheet",
+  "depth": 5,
+  "total_masked": 78,
+  "is_cross_sheet": true,
+  "prompt_en": "The Transwestern Pipeline Company 2002 Plan workbook tracks contract-related sales pipeline inputs across sheets such as Out Years Data Input, with visible sections for Red Rock Contracts, Resubscribed Contracts and Rate Increase, Inclusion Key, and monthly columns from January through May. On the Out Years Data Input sheet, the May column still has a few missing entries that need to be filled in for the plan data: O58, O71, O93, O106, O166, O179, O190, O203, O216, and O229. Please complete those May values in the context of the surrounding monthly contract data; the monthly figures need to be in place before the Fuel, MARGIN SUMMARY, Summary, and Annual Fuel Calc Alt areas are meaningful. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "这份 Transwestern Pipeline Company 2002 Plan 工作簿用于跟踪各个工作表中的合同相关销售管道输入数据，其中能看到 Out Years Data Input、Red Rock Contracts、Resubscribed Contracts and Rate Increase、Inclusion Key，以及从 January 到 May 的月度列。Out Years Data Input 工作表里的 May 列还有几处缺失，需要补全计划数据中的这些位置：O58、O71、O93、O106、O166、O179、O190、O203、O216 和 O229。请根据周围的月度合同数据，把这些 May 数值填写完整；月度数据到位后，Fuel、MARGIN SUMMARY、Summary 和 Annual Fuel Calc Alt 这些区域才有意义。请将完成后的工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 26,
+    "verdict": "RELEASE",
+    "D1": 4,
+    "D2": 5,
+    "D3": 4,
+    "D4": 5,
+    "D5": 4,
+    "D6": 4,
+    "frontier_hardness": 4,
+    "local_difficulty": 85.7
+  },
+  "source_file_id": "tracy_geaccone__40432__PLAN_FORECAST_DESIGN_MASTER",
+  "inferred_domain": "sales",
+  "domain_confidence": 0.5,
+  "sheet_profiles": [
+    {
+      "name": "Red Rock & New Ks",
+      "used_range": "A1:AU93",
+      "row_count": 93,
+      "col_count": 47,
+      "has_header": false,
+      "title_hint": "Red Rock & New Ks",
+      "header_info": null
+    },
+    {
+      "name": "Out Years Data Input",
+      "used_range": "A1:EX229",
+      "row_count": 229,
+      "col_count": 154,
+      "has_header": false,
+      "title_hint": "Out Years Data Input",
+      "header_info": null
+    },
+    {
+      "name": "Negociate Rate K",
+      "used_range": "A1:AT37",
+      "row_count": 37,
+      "col_count": 46,
+      "has_header": false,
+      "title_hint": "Negociate Rate K",
+      "header_info": null
+    },
+    {
+      "name": "Summary",
+      "used_range": "A1:AH366",
+      "row_count": 366,
+      "col_count": 34,
+      "has_header": false,
+      "title_hint": "Summary",
+      "header_info": null
+    },
+    {
+      "name": "Annual Fuel Calc Alt",
+      "used_range": "A1:S141",
+      "row_count": 141,
+      "col_count": 19,
+      "has_header": false,
+      "title_hint": "Annual Fuel Calc Alt",
+      "header_info": null
+    },
+    {
+      "name": "2002 Plan by Qtr",
+      "used_range": "A1:U62",
+      "row_count": 62,
+      "col_count": 21,
+      "has_header": false,
+      "title_hint": "2002 Plan by Qtr",
+      "header_info": null
+    },
+    {
+      "name": "Firm Book",
+      "used_range": "A1:AI294",
+      "row_count": 294,
+      "col_count": 35,
+      "has_header": false,
+      "title_hint": "Firm Book",
+      "header_info": null
+    }
+  ]
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00417/audit.json

@@ -0,0 +1,443 @@
+{
+  "gate": {
+    "pre_nl_gate": {
+      "gate_label": "GATE_PASS",
+      "gate_pass": true,
+      "hard_fails": 0,
+      "warns": 0,
+      "checks": [
+        {
+          "check": "final_target_gate",
+          "pass": true,
+          "detail": "final_target has 73 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=118358B, src=150726B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=2.3 (total=169, final=73)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "32 unique values across 169 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: Allocations 2002!B→C(40/73), Allocations 2002!D→C(40/73), Allocations 2002!C→B(40/74)"
+        },
+        {
+          "check": "header_name_accuracy",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "duplicate_lookup_tie_break",
+          "pass": true,
+          "detail": "no lookup formulas"
+        },
+        {
+          "check": "src_chain_integrity",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean",
+          "sub_checks": {
+            "error_cells": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "external_refs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "volatile_funcs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "missing_sheets": {
+              "pass": true,
+              "count": 0,
+              "sheets": []
+            },
+            "circular_refs": {
+              "pass": true,
+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
+        }
+      ]
+    },
+    "post_nl_validate": {
+      "validate_label": "SOFT_WARN",
+      "validate_pass": true,
+      "hard_fails": 0,
+      "soft_warns": 2,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": false,
+          "detail": "contract=16, prompt=1, missing=15",
+          "missing_ranges": [
+            "B15",
+            "B17:B89",
+            "D15",
+            "D26",
+            "D37",
+            "D40",
+            "D50",
+            "D56",
+            "D63",
+            "D68"
+          ],
+          "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=3, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": false,
+          "detail": "contract=['Adaytum by Month', 'Allocations 2002'], missing=['Adaytum by Month']",
+          "severity": "INFO"
+        },
+        {
+          "check": "no_formula_leak",
+          "pass": true,
+          "detail": "0 formula leaks",
+          "severity": "OK"
+        },
+        {
+          "check": "no_value_leak",
+          "pass": true,
+          "detail": "0 value leaks out of 73 GT cells",
+          "severity": "OK"
+        },
+        {
+          "check": "final_target_first",
+          "pass": true,
+          "detail": "no explicit final target marker (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "output_format",
+          "pass": true,
+          "detail": "output format found",
+          "severity": "OK"
+        },
+        {
+          "check": "header_in_prompt",
+          "pass": true,
+          "detail": "no column headers found in prompt",
+          "severity": "OK"
+        },
+        {
+          "check": "hint_specificity",
+          "pass": true,
+          "detail": "clean",
+          "severity": "OK"
+        },
+        {
+          "check": "evidence_scope",
+          "pass": false,
+          "detail": "referenced=2 mentioned=0 missing=2 [Adaytum Headcount, Adaytum by Month]",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 4 col groups; CONFLICTS: Allocations 2002!B90: visible='=B88+B89' vs GT pattern='='Adaytum by Month'!O#'"
+        },
+        {
+          "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 169 GT cells (0%)",
+          "severity": "OK"
+        }
+      ]
+    },
+    "pre_nl_local": {
+      "local_total": 60,
+      "local_label": "PENDING_NL",
+      "hard_fail_flags": [],
+      "warnings": [
+        "nl_missing"
+      ],
+      "local_subscores": {
+        "family_clean": 25,
+        "target_integrity": 15,
+        "taxonomy": 10,
+        "semantic_signal": 10,
+        "nl_schema": 0,
+        "target_alignment": 0,
+        "business_specificity": 0,
+        "nl_risk": 0
+      }
+    }
+  },
+  "verify": {
+    "uniqueness": {
+      "total_gt_cells": 169,
+      "total_non_none": 169,
+      "block_reasons": [],
+      "warnings": [
+        "mixed_gt_types:{'float': 70, 'int': 99}"
+      ],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "float": 70,
+            "int": 99
+          },
+          "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": 169
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 169,
+      "total_masked": 169,
+      "total_visible": 1473,
+      "depth": 4,
+      "block_reasons": [],
+      "warnings": [],
+      "checks": {
+        "broken_chains": {
+          "count": 0,
+          "checked": 169,
+          "details": []
+        },
+        "orphan_masks": {
+          "count": 0,
+          "details": []
+        },
+        "self_contained": {
+          "missing_sheets": []
+        }
+      }
+    },
+    "exemplar": {
+      "soft_block": true,
+      "block_reasons": [
+        "zero_exemplar:2_patterns"
+      ],
+      "checks": {
+        "pattern_coverage": {
+          "pass": false,
+          "total_gt_patterns": 7,
+          "total_src_patterns": 42,
+          "zero_exemplar_count": 2,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": false,
+          "patterns": [
+            {
+              "pattern": "=SUM(RANGE)+REF+REF+REF+REF+REF",
+              "total_in_src": 1,
+              "sample_formula": "=SUM(D63:D67)+D57+D56+D50+D40+D26"
+            },
+            {
+              "pattern": "=SUM(RANGE)+REF",
+              "total_in_src": 1,
+              "sample_formula": "=SUM(D76:D86)+D69"
+            }
+          ]
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "SUM": {
+            "total_masked": 20,
+            "visible_exemplars": 191
+          },
+          "arithmetic": {
+            "total_masked": 147,
+            "visible_exemplars": 545
+          },
+          "reference": {
+            "total_masked": 2,
+            "visible_exemplars": 232
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.0,
+      "flags": []
+    },
+    "release_audit": {
+      "surface_single_sheet": false,
+      "surface_sheets": [
+        "Adaytum by Month",
+        "Allocations 2002"
+      ],
+      "cross_sheet_actual": true,
+      "cross_sheet_ref_count": 2,
+      "referenced_sheets": [
+        "Adaytum Headcount",
+        "Adaytum by Month"
+      ],
+      "target_shape": "single_column_series",
+      "layer_sizes": [
+        73,
+        74,
+        13,
+        9
+      ],
+      "mask_last_total_cells": 169,
+      "layer_growth_ratios": [
+        1.0137,
+        0.1757,
+        0.6923
+      ],
+      "pattern_dominance_ratio": 0.432,
+      "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": "cross_sheet__dag_7fe974a4e956",
+    "difficulty_score": 79.7,
+    "difficulty": "hard",
+    "depth": 4,
+    "total_masked": 169,
+    "is_cross_sheet": true,
+    "unique_patterns": 10,
+    "avg_complexity": 4.8,
+    "cross_refs": 2,
+    "visible_exemplar_ratio": 0.027,
+    "score_breakdown": {
+      "depth": 21,
+      "cross_sheet": 10,
+      "cell_count": 14.8,
+      "patterns": 15,
+      "complexity": 7.2,
+      "cross_refs": 2,
+      "vis_penalty": 9.7
+    }
+  }
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00417/ground_truth_full.json

@@ -0,0 +1,1523 @@
+[
+  {
+    "sheet": "Allocations 2002",
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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00417/nl_task.json

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+  "task_id": "cross_sheet__dag_7fe974a4e956",
+  "prompt_en": "The Allocations 2002 sheet sits within a finance workbook that also includes Cost Summary, P&L Expense Analysis, Plan Legal Spend 2001 and 2002, Expenses, Corp. Allocations, Residual, 2002vs2001, and COMMENTS sections for the fiscal year review. Please complete the blank entries in the \"2001 Cost Allocated\" column on sheet \"Allocations 2002\", specifically C17:C89. These allocation entries belong with the surrounding expense, allocation, residual, and comparison fields, and they need to be in place before the related 2002 versus 2001 information reads properly. Please save the completed file as an .xlsx workbook.",
+  "prompt_cn": "“Allocations 2002”工作表属于一个财务工作簿，里面还包含 Cost Summary、P&L Expense Analysis、Plan Legal Spend 2001 和 2002、Expenses、Corp. Allocations、Residual、2002vs2001 以及 COMMENTS 等用于财年回顾的内容。请补全“Allocations 2002”工作表中“2001 Cost Allocated”列的空白项，位置是 C17:C89。这些分摊数据与周围的费用、分摊、Residual 和 2002 versus 2001 对比信息放在一起，需要填写完整后，相关对比内容才会连贯。请将完成后的文件保存为 .xlsx 工作簿。",
+  "quality_notes": "The prompt identifies the finance workbook context, the exact target sheet/column/range, and the natural dependency on related comparison sections without giving formulas or operational hints.",
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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00417/release_qc.json

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+  "D1": {
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+    "reason": "All 169 contract cells are truly masked, there are no extra masked cells, no contract cells left unmasked, and no phantom ranges beyond sheet bounds. Formula-cache loss is only the known openpyxl artifact and should not be treated as masking. Visible exemplars do not make the task trivially copyable because the solver must reconstruct cross-column and cross-sheet dependencies."
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+  },
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+  },
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+    "reason": "From mask_last.xlsx and the prompt, the target column, adjacent allocation-percent column, headcount column, subtotal rows, visible row labels, and Adaytum monthly total structures provide enough root evidence to reconstruct the chain. O-column totals can be inferred from visible monthly rows and total headers; D subtotals can be inferred from grouped headcount rows; B percentages can be inferred from headcount divided by total headcount and checked against B90=1; C allocations then follow naturally as percentage times direct costs. The main weakness is that the NL does not mention the Adaytum by Month or Adaytum Headcount sheets, so the cross-sheet roots require workbook exploration rather than explicit instruction.",
+    "d4_type": "ok"
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+    "score": 5,
+    "reason": "The request sounds like a plausible workplace finance task, names the workbook context naturally, and avoids benchmark-specific jargon."
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+  "verdict": "RELEASE",
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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00417/task_meta.json

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+  "fcb_id": "FCB-00417",
+  "task_id": "cross_sheet__dag_7fe974a4e956",
+  "tier": "T1_FRONTIER",
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+  "prompt_en": "The Allocations 2002 sheet sits within a finance workbook that also includes Cost Summary, P&L Expense Analysis, Plan Legal Spend 2001 and 2002, Expenses, Corp. Allocations, Residual, 2002vs2001, and COMMENTS sections for the fiscal year review. Please complete the blank entries in the \"2001 Cost Allocated\" column on sheet \"Allocations 2002\", specifically C17:C89. These allocation entries belong with the surrounding expense, allocation, residual, and comparison fields, and they need to be in place before the related 2002 versus 2001 information reads properly. Please save the completed file as an .xlsx workbook.",
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+    "verdict": "RELEASE",
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+    {
+      "name": "Adaytum by Month",
+      "used_range": "B7:R151",
+      "row_count": 145,
+      "col_count": 17,
+      "has_header": false,
+      "title_hint": "Adaytum by Month",
+      "header_info": null
+    },
+    {
+      "name": "Adaytum Headcount",
+      "used_range": "A8:X45",
+      "row_count": 38,
+      "col_count": 24,
+      "has_header": false,
+      "title_hint": "Adaytum Headcount",
+      "header_info": null
+    }
+  ]
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00418/audit.json

@@ -0,0 +1,551 @@
+{
+  "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 20 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=44213B, src=66536B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=4.1 (total=82, final=20)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "58 unique values across 82 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,
+          "severity": null,
+          "detail": "40 lookups"
+        },
+        {
+          "check": "src_chain_integrity",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean",
+          "sub_checks": {
+            "error_cells": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "external_refs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "volatile_funcs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "missing_sheets": {
+              "pass": true,
+              "count": 0,
+              "sheets": []
+            },
+            "circular_refs": {
+              "pass": true,
+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
+        }
+      ]
+    },
+    "post_nl_validate": {
+      "validate_label": "SOFT_WARN",
+      "validate_pass": true,
+      "hard_fails": 0,
+      "soft_warns": 2,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": false,
+          "detail": "contract=6, prompt=1, missing=4",
+          "missing_ranges": [
+            "AO10:AO29",
+            "AO8",
+            "U10:U29",
+            "U6"
+          ],
+          "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=3, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": true,
+          "detail": "contract=['aij-UNIFAC (VLE)'], 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 20 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 4 col groups; CONFLICTS: aij-UNIFAC (VLE)!AM8: visible='=U24' vs GT pattern='=EXP(-AO#/($U$#+#.#))'; aij-UNIFAC (VLE)!AM9: visible='=V24' vs GT pattern='=EXP(-AO#/($U$#+#.#))'"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": false,
+          "detail": "GT funcs: ['EXP', 'INDEX', 'MATCH', 'UNIFAC', 'VLOOKUP']; MISMATCHES: GT uses VLOOKUP but NL doesn't mention any of: find, look up, lookup, match; GT uses INDEX but NL doesn't mention any of: find, index, look up, lookup; GT uses MATCH but NL doesn't mention any of: find, match, position",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "unmatched_default_rule",
+          "pass": true,
+          "detail": "no default-rule phrase found in NL",
+          "severity": "OK"
+        },
+        {
+          "check": "volatile_function_freeze",
+          "pass": true,
+          "detail": "volatile_cells=0",
+          "severity": "OK"
+        },
+        {
+          "check": "direct_answer_leakage",
+          "pass": true,
+          "detail": "0 leaks out of 82 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": 82,
+      "total_non_none": 82,
+      "block_reasons": [],
+      "warnings": [
+        "mixed_gt_types:{'float': 34, 'int': 48}"
+      ],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "float": 34,
+            "int": 48
+          },
+          "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": 82
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 82,
+      "total_masked": 82,
+      "total_visible": 1709,
+      "depth": 4,
+      "block_reasons": [
+        "broken_chains:20/82=24.4%"
+      ],
+      "warnings": [],
+      "checks": {
+        "broken_chains": {
+          "count": 20,
+          "checked": 82,
+          "details": [
+            {
+              "cell": "aij-UNIFAC (VLE)!U12",
+              "missing_dep": "aij-UNIFAC (VLE)!C34",
+              "formula": "=VLOOKUP($T12,$A$34:$E$63,2,FALSE)"
+            },
+            {
+              "cell": "aij-UNIFAC (VLE)!U28",
+              "missing_dep": "aij-UNIFAC (VLE)!C34",
+              "formula": "=VLOOKUP($T28,$A$34:$E$63,2,FALSE)"
+            },
+            {
+              "cell": "aij-UNIFAC (VLE)!U21",
+              "missing_dep": "aij-UNIFAC (VLE)!C34",
+              "formula": "=VLOOKUP($T21,$A$34:$E$63,2,FALSE)"
+            },
+            {
+              "cell": "aij-UNIFAC (VLE)!U14",
+              "missing_dep": "aij-UNIFAC (VLE)!C34",
+              "formula": "=VLOOKUP($T14,$A$34:$E$63,2,FALSE)"
+            },
+            {
+              "cell": "aij-UNIFAC (VLE)!U23",
+              "missing_dep": "aij-UNIFAC (VLE)!C34",
+              "formula": "=VLOOKUP($T23,$A$34:$E$63,2,FALSE)"
+            },
+            {
+              "cell": "aij-UNIFAC (VLE)!U16",
+              "missing_dep": "aij-UNIFAC (VLE)!C34",
+              "formula": "=VLOOKUP($T16,$A$34:$E$63,2,FALSE)"
+            },
+            {
+              "cell": "aij-UNIFAC (VLE)!U25",
+              "missing_dep": "aij-UNIFAC (VLE)!C34",
+              "formula": "=VLOOKUP($T25,$A$34:$E$63,2,FALSE)"
+            },
+            {
+              "cell": "aij-UNIFAC (VLE)!U18",
+              "missing_dep": "aij-UNIFAC (VLE)!C34",
+              "formula": "=VLOOKUP($T18,$A$34:$E$63,2,FALSE)"
+            },
+            {
+              "cell": "aij-UNIFAC (VLE)!U27",
+              "missing_dep": "aij-UNIFAC (VLE)!C34",
+              "formula": "=VLOOKUP($T27,$A$34:$E$63,2,FALSE)"
+            },
+            {
+              "cell": "aij-UNIFAC (VLE)!U11",
+              "missing_dep": "aij-UNIFAC (VLE)!C34",
+              "formula": "=VLOOKUP($T11,$A$34:$E$63,2,FALSE)"
+            },
+            {
+              "cell": "aij-UNIFAC (VLE)!U20",
+              "missing_dep": "aij-UNIFAC (VLE)!C34",
+              "formula": "=VLOOKUP($T20,$A$34:$E$63,2,FALSE)"
+            },
+            {
+              "cell": "aij-UNIFAC (VLE)!U29",
+              "missing_dep": "aij-UNIFAC (VLE)!C34",
+              "formula": "=VLOOKUP($T29,$A$34:$E$63,2,FALSE)"
+            },
+            {
+              "cell": "aij-UNIFAC (VLE)!U13",
+              "missing_dep": "aij-UNIFAC (VLE)!C34",
+              "formula": "=VLOOKUP($T13,$A$34:$E$63,2,FALSE)"
+            },
+            {
+              "cell": "aij-UNIFAC (VLE)!U22",
+              "missing_dep": "aij-UNIFAC (VLE)!C34",
+              "formula": "=VLOOKUP($T22,$A$34:$E$63,2,FALSE)"
+            },
+            {
+              "cell": "aij-UNIFAC (VLE)!U15",
+              "missing_dep": "aij-UNIFAC (VLE)!C34",
+              "formula": "=VLOOKUP($T15,$A$34:$E$63,2,FALSE)"
+            },
+            {
+              "cell": "aij-UNIFAC (VLE)!U24",
+              "missing_dep": "aij-UNIFAC (VLE)!C34",
+              "formula": "=VLOOKUP($T24,$A$34:$E$63,2,FALSE)"
+            },
+            {
+              "cell": "aij-UNIFAC (VLE)!U17",
+              "missing_dep": "aij-UNIFAC (VLE)!C34",
+              "formula": "=VLOOKUP($T17,$A$34:$E$63,2,FALSE)"
+            },
+            {
+              "cell": "aij-UNIFAC (VLE)!U26",
+              "missing_dep": "aij-UNIFAC (VLE)!C34",
+              "formula": "=VLOOKUP($T26,$A$34:$E$63,2,FALSE)"
+            },
+            {
+              "cell": "aij-UNIFAC (VLE)!U10",
+              "missing_dep": "aij-UNIFAC (VLE)!C34",
+              "formula": "=VLOOKUP($T10,$A$34:$E$63,2,FALSE)"
+            },
+            {
+              "cell": "aij-UNIFAC (VLE)!U19",
+              "missing_dep": "aij-UNIFAC (VLE)!C34",
+              "formula": "=VLOOKUP($T19,$A$34:$E$63,2,FALSE)"
+            }
+          ]
+        },
+        "orphan_masks": {
+          "count": 0,
+          "details": []
+        },
+        "self_contained": {
+          "missing_sheets": []
+        }
+      }
+    },
+    "exemplar": {
+      "soft_block": true,
+      "block_reasons": [
+        "zero_exemplar:1_patterns"
+      ],
+      "checks": {
+        "pattern_coverage": {
+          "pass": false,
+          "total_gt_patterns": 4,
+          "total_src_patterns": 21,
+          "zero_exemplar_count": 1,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": false,
+          "patterns": [
+            {
+              "pattern": "=VLOOKUP(REF,RANGE,2,FALSE)",
+              "total_in_src": 20,
+              "sample_formula": "=VLOOKUP($T10,$A$34:$E$63,2,FALSE)"
+            }
+          ]
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "reference": {
+            "total_masked": 0,
+            "visible_exemplars": 1
+          },
+          "EXP": {
+            "total_masked": 20,
+            "visible_exemplars": 385
+          },
+          "UNIFAC": {
+            "total_masked": 22,
+            "visible_exemplars": 396
+          },
+          "INDEX": {
+            "total_masked": 20,
+            "visible_exemplars": 380
+          },
+          "VLOOKUP": {
+            "total_masked": 20,
+            "visible_exemplars": 60
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.5,
+      "flags": [
+        {
+          "code": "SC3",
+          "description": "Copy-from-visible: 21/82 GT cells have nearby visible formula clones",
+          "affected_cells": 21,
+          "severity": "medium"
+        }
+      ]
+    },
+    "release_audit": {
+      "surface_single_sheet": true,
+      "surface_sheets": [
+        "aij-UNIFAC (VLE)"
+      ],
+      "cross_sheet_actual": true,
+      "cross_sheet_ref_count": 21,
+      "referenced_sheets": [
+        "UNIFAC (VLE)"
+      ],
+      "target_shape": "single_column_series",
+      "layer_sizes": [
+        20,
+        21,
+        21,
+        20
+      ],
+      "mask_last_total_cells": 82,
+      "layer_growth_ratios": [
+        1.05,
+        1.0,
+        0.9524
+      ],
+      "pattern_dominance_ratio": 0.2439,
+      "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_88f25ee43026",
+    "difficulty_score": 82.4,
+    "difficulty": "hard",
+    "depth": 4,
+    "total_masked": 82,
+    "is_cross_sheet": true,
+    "unique_patterns": 6,
+    "avg_complexity": 6.0,
+    "cross_refs": 21,
+    "visible_exemplar_ratio": 0.535,
+    "score_breakdown": {
+      "depth": 21,
+      "cross_sheet": 10,
+      "cell_count": 12.7,
+      "patterns": 15,
+      "complexity": 9.0,
+      "cross_refs": 10,
+      "vis_penalty": 4.7
+    }
+  }
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00418/ground_truth_full.json

@@ -0,0 +1,740 @@
+[
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+    "row": 36,
+    "formula": "=EXP(-AO10/($U$6+273.15))",
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+    "formula": "=EXP(-AO11/($U$6+273.15))",
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+    "formula": "=EXP(-AO22/($U$6+273.15))",
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+    "formula": "=EXP(-AO24/($U$6+273.15))",
+    "cached_value": 1,
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+    "formula": "=EXP(-AO18/($U$6+273.15))",
+    "cached_value": 1.72285249759044,
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+  {
+    "sheet": "aij-UNIFAC (VLE)",
+    "col": "AM",
+    "row": 45,
+    "formula": "=EXP(-AO19/($U$6+273.15))",
+    "cached_value": 1.0386731126835413,
+    "pattern_id": "pf_0001"
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+  {
+    "sheet": "aij-UNIFAC (VLE)",
+    "col": "AM",
+    "row": 46,
+    "formula": "=EXP(-AO20/($U$6+273.15))",
+    "cached_value": 0.3324857492941411,
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "aij-UNIFAC (VLE)",
+    "col": "AM",
+    "row": 47,
+    "formula": "=EXP(-AO21/($U$6+273.15))",
+    "cached_value": 0.16485668187408783,
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "aij-UNIFAC (VLE)",
+    "col": "AM",
+    "row": 48,
+    "formula": "=EXP(-AO22/($U$6+273.15))",
+    "cached_value": 0.26190955683062017,
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "aij-UNIFAC (VLE)",
+    "col": "AM",
+    "row": 49,
+    "formula": "=EXP(-AO23/($U$6+273.15))",
+    "cached_value": 0.16899208673710034,
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "aij-UNIFAC (VLE)",
+    "col": "AM",
+    "row": 50,
+    "formula": "=EXP(-AO24/($U$6+273.15))",
+    "cached_value": 1,
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "aij-UNIFAC (VLE)",
+    "col": "AM",
+    "row": 51,
+    "formula": "=EXP(-AO25/($U$6+273.15))",
+    "cached_value": 2.9049578370737814,
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "aij-UNIFAC (VLE)",
+    "col": "AM",
+    "row": 52,
+    "formula": "=EXP(-AO26/($U$6+273.15))",
+    "cached_value": 1,
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "aij-UNIFAC (VLE)",
+    "col": "AM",
+    "row": 53,
+    "formula": "=EXP(-AO27/($U$6+273.15))",
+    "cached_value": 0.23151875756582696,
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "aij-UNIFAC (VLE)",
+    "col": "AM",
+    "row": 54,
+    "formula": "=EXP(-AO28/($U$6+273.15))",
+    "cached_value": 0.2572263137369153,
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "aij-UNIFAC (VLE)",
+    "col": "AM",
+    "row": 55,
+    "formula": "=EXP(-AO29/($U$6+273.15))",
+    "cached_value": 1.2082603906547598,
+    "pattern_id": "pf_0001"
+  }
+]

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00418/layers.json

@@ -0,0 +1,217 @@
+{
+  "dag_id": "dag_88f25ee43026",
+  "file_id": "743185d1628275995-automate-table-creation-through-iterative-process-table-gen-from-a-formula-output_question",
+  "category": "cross_sheet",
+  "surface_category": "single_sheet",
+  "effective_category": "cross_sheet",
+  "depth": 4,
+  "quality": {
+    "chain_error_cells": 0,
+    "chain_external_cells": 0,
+    "is_clean": true
+  },
+  "layers": [
+    {
+      "layer_index": 1,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00036"
+          ],
+          "sheet": "aij-UNIFAC (VLE)",
+          "col": "AM",
+          "rows": [
+            36,
+            37,
+            38,
+            39,
+            40,
+            41,
+            42,
+            43,
+            44,
+            45,
+            46,
+            47,
+            48,
+            49,
+            50,
+            51,
+            52,
+            53,
+            54,
+            55
+          ],
+          "row_ranges": "36-55",
+          "row_count": 20,
+          "pattern_id": "pf_0001",
+          "normalized_pattern": "=EXP(-[C+2,R-26]/([$U,$6]+273.15))",
+          "sample_formula": "=EXP(-AO10/($U$6+273.15))"
+        }
+      ],
+      "new_eval_cells": 20,
+      "total_masked_cells": 20
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00016"
+          ],
+          "sheet": "aij-UNIFAC (VLE)",
+          "col": "AO",
+          "rows": [
+            10,
+            11,
+            12,
+            13,
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+            15,
+            16,
+            17,
+            18,
+            19,
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+            24,
+            25,
+            26,
+            27,
+            28,
+            29
+          ],
+          "row_ranges": "10-29",
+          "row_count": 20,
+          "pattern_id": "pf_0000",
+          "normalized_pattern": "=INDEX(MGAIJ,MATCH([$U,R],ROW,0),MATCH([C,$8],COLUMN,0))",
+          "sample_formula": "=INDEX(MGaij,MATCH($U10,row,0),MATCH(AO$8,column,0))"
+        },
+        {
+          "region_ids": [
+            "rg_00175"
+          ],
+          "sheet": "aij-UNIFAC (VLE)",
+          "col": "U",
+          "rows": [
+            6
+          ],
+          "row_ranges": "6",
+          "row_count": 1,
+          "pattern_id": "pf_0049",
+          "normalized_pattern": "='UNIFAC(VLE)'![C-19,R+4]",
+          "sample_formula": "='UNIFAC (VLE)'!B10"
+        }
+      ],
+      "new_eval_cells": 21,
+      "total_masked_cells": 41
+    },
+    {
+      "layer_index": 3,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00166"
+          ],
+          "sheet": "aij-UNIFAC (VLE)",
+          "col": "AO",
+          "rows": [
+            8
+          ],
+          "row_ranges": "8",
+          "row_count": 1,
+          "pattern_id": "pf_0043",
+          "normalized_pattern": "=[C-20,R+18]",
+          "sample_formula": "=U26"
+        },
+        {
+          "region_ids": [
+            "rg_00069"
+          ],
+          "sheet": "aij-UNIFAC (VLE)",
+          "col": "U",
+          "rows": [
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+            11,
+            12,
+            13,
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+            15,
+            16,
+            17,
+            18,
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+            20,
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+            22,
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+            24,
+            25,
+            26,
+            27,
+            28,
+            29
+          ],
+          "row_ranges": "10-29",
+          "row_count": 20,
+          "pattern_id": "pf_0012",
+          "normalized_pattern": "=VLOOKUP([$T,R],[$A,$34]:[$E,$63],2,FALSE)",
+          "sample_formula": "=VLOOKUP($T10,$A$34:$E$63,2,FALSE)"
+        }
+      ],
+      "new_eval_cells": 21,
+      "total_masked_cells": 62
+    },
+    {
+      "layer_index": 4,
+      "new_pattern_groups": [
+        {
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+            "rg_00068"
+          ],
+          "sheet": "aij-UNIFAC (VLE)",
+          "col": "T",
+          "rows": [
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+            15,
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+            29
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+          "row_ranges": "10-29",
+          "row_count": 20,
+          "pattern_id": "pf_0011",
+          "normalized_pattern": "='UNIFAC(VLE)'![C-18,R+13]",
+          "sample_formula": "='UNIFAC (VLE)'!B23"
+        }
+      ],
+      "new_eval_cells": 20,
+      "total_masked_cells": 82
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00036",
+    "sheet": "aij-UNIFAC (VLE)",
+    "col": "AM",
+    "pattern_id": "pf_0001",
+    "row_count": 20,
+    "family_size": 20
+  }
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00418/nl_task.json

@@ -0,0 +1,26 @@
+{
+  "task_id": "cross_sheet__dag_88f25ee43026",
+  "prompt_en": "The “aij-UNIFAC (VLE)” sheet is part of a chemical engineering thermodynamics teaching workbook, with instructions about entering temperature in centigrade and a table of residual group interaction parameters for main groups. In that sheet, the COOH column needs to be completed for rows AM36:AM55. Some related blank parameter columns in the workbook support the same table, so those entries should be in place as needed before the COOH column is finalized. Please fill in the missing COOH entries and save the completed workbook as an .xlsx file.",
+  "prompt_cn": "“aij-UNIFAC (VLE)” 工作表属于一本化学工程热力学教学工作簿，其中包含关于输入摄氏温度的说明，以及主基团残余基团相互作用参数表。请在该工作表中补全 COOH 列的 AM36:AM55 行。有些相关的空白参数列也属于同一张表，必要时需要先补齐这些内容，COOH 列才方便最终确认。请填写缺失的 COOH 条目，并将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt is concise and scenario-specific, references only visible workbook labels and the requested sheet/column/range, avoids formulas and operation hints, and includes a natural note about related blanks feeding the final column.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 4,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
+      "operation_words": 0,
+      "cell_range_density": 4,
+      "step_by_step": 0,
+      "column_operation_mapping": 0,
+      "formula_pattern_hints": 0
+    },
+    "operation_words_found": [],
+    "cell_ranges_found": 1
+  },
+  "version": "v7",
+  "model": "gpt-5.5",
+  "elapsed": 8.5,
+  "attempt": 1
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00418/release_qc.json

@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "Well-designed chain-masked task: masked cells are real and cleanly bounded, GT is coherent, and visible workbook structure provides enough evidence to reconstruct the dependency chain.",
+  "D1": {
+    "score": 5,
+    "reason": "All 82 contract cells are truly masked, with no contract misses and no extra masked cells. The referenced cells are within the actual sheet dimensions, so there are no phantom ranges. Although many same-pattern formulas are visible in neighboring columns/rows, the task is not zero-reasoning copyable because the solver must still reconstruct multiple prerequisite columns, cross-sheet references, and the correct COOH parameter chain."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The layer-1 GT formulas follow a consistent deterministic pattern, using EXP over the corresponding AO parameter row and the absolute temperature reference $U$6+273.15. The formulas align with the source workbook structure and the cached values appear numerically consistent."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL description clearly identifies the target sheet and final range AM36:AM55 for the COOH column. It also hints that related blank parameter columns must be restored first. It is somewhat vague because it does not enumerate the prerequisite ranges, but that is acceptable for a chain-reconstruction task."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "From mask_last.xlsx plus the prompt, the root evidence appears sufficient. The target COOH column is named, neighboring columns show the same residual-parameter/exponential structure, the blank AO parameter column is surrounded by analogous visible parameter columns, and the table labels expose Sub/Main Group, R, Q, and interaction-parameter context. The U6 temperature cell is supported by the visible T=/C labels and the main UNIFAC temperature-entry sheet. The T and U group columns are blank, but their role is inferable from visible headers, adjacent lookup-derived fields, group names, and workbook structure. This is hard and multi-hop, but not dependent on a hidden constant or unknowable rule.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 5,
+    "reason": "The source workbook data appears internally consistent: formulas follow regular table patterns, cross-sheet references are legitimate, headers and labels are meaningful for the UNIFAC parameter tables, and no corruption, circularity, or broken formula evidence is indicated."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The NL request reads like a plausible workbook-completion instruction in a technical/teaching context. It avoids benchmark jargon and naturally describes the task as completing missing COOH entries and supporting parameter columns."
+  },
+  "total": 28,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality task with clean masking, valid GT, and sufficient visible evidence for a difficult but solvable chain-reasoning reconstruction.",
+  "frontier_hardness": {
+    "score": 4,
+    "reason": "The task is genuinely hard due to depth-4 chain masking, 82 missing cells, multiple formula patterns, and cross-sheet dependency reconstruction. Neighboring exemplars reduce ambiguity, but a solver still must coordinate group lookup fields, interaction matrix parameters, temperature reference, and final exponential calculations.",
+    "fail_reason": "deep_chain",
+    "is_valid_hardness": true
+  },
+  "_prompt_chars": 89641,
+  "_timing_load_workbooks": 0.26,
+  "_timing_context": 0.02,
+  "_timing_api": 52.44,
+  "local_difficulty": {
+    "difficulty_score": 82.4,
+    "difficulty": "hard",
+    "depth": 4,
+    "total_masked": 82,
+    "is_cross_sheet": true,
+    "unique_patterns": 5,
+    "avg_complexity": 6,
+    "cross_refs": 21,
+    "visible_exemplar_ratio": 0.535
+  },
+  "task_id": "cross_sheet__dag_88f25ee43026",
+  "elapsed": 52.7,
+  "publish_decision": "YES",
+  "release_tier": "FRONTIER_HARD",
+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00418/target_contract.json

@@ -0,0 +1,187 @@
+{
+  "task_id": "cross_sheet__dag_88f25ee43026",
+  "category": "cross_sheet",
+  "depth": 4,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "aij-UNIFAC (VLE)",
+        "column": "AM",
+        "column_header": "COOH",
+        "cell_range": "AM36:AM55",
+        "cell_count": 20,
+        "rows": [
+          36,
+          37,
+          38,
+          39,
+          40,
+          41,
+          42,
+          43,
+          44,
+          45,
+          46,
+          47,
+          48,
+          49,
+          50,
+          51,
+          52,
+          53,
+          54,
+          55
+        ],
+        "first_row_label": "CH2",
+        "last_row_label": "CHO"
+      }
+    ],
+    "cell_count": 20,
+    "formula_families": [
+      "arithmetic"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 4,
+      "regions": [
+        {
+          "sheet": "aij-UNIFAC (VLE)",
+          "column": "T",
+          "column_header": "Group",
+          "cell_range": "T10:T29",
+          "cell_count": 20,
+          "rows": [
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28,
+            29
+          ],
+          "first_row_label": "",
+          "last_row_label": "Table 2. Sub-group Surface and Volume Pa"
+        }
+      ],
+      "cell_count": 20
+    },
+    {
+      "layer": 3,
+      "regions": [
+        {
+          "sheet": "aij-UNIFAC (VLE)",
+          "column": "AO",
+          "column_header": "",
+          "cell_range": "AO8",
+          "cell_count": 1,
+          "rows": [
+            8
+          ],
+          "first_row_label": "NOTE: BLANK CELLS MEAN THE VALUE IS UNAV",
+          "last_row_label": ""
+        },
+        {
+          "sheet": "aij-UNIFAC (VLE)",
+          "column": "U",
+          "column_header": "Do not edit this table unless you want to reprogram. Change",
+          "cell_range": "U10:U29",
+          "cell_count": 20,
+          "rows": [
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28,
+            29
+          ],
+          "first_row_label": "",
+          "last_row_label": "Table 2. Sub-group Surface and Volume Pa"
+        }
+      ],
+      "cell_count": 21
+    },
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "aij-UNIFAC (VLE)",
+          "column": "AO",
+          "column_header": "",
+          "cell_range": "AO10:AO29",
+          "cell_count": 20,
+          "rows": [
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28,
+            29
+          ],
+          "first_row_label": "",
+          "last_row_label": "Table 2. Sub-group Surface and Volume Pa"
+        },
+        {
+          "sheet": "aij-UNIFAC (VLE)",
+          "column": "U",
+          "column_header": "Do not edit this table unless you want to reprogram. Change",
+          "cell_range": "U6",
+          "cell_count": 1,
+          "rows": [
+            6
+          ],
+          "first_row_label": "the sheet, and then change only the valu",
+          "last_row_label": ""
+        }
+      ],
+      "cell_count": 21
+    }
+  ],
+  "total_prerequisite_cells": 62,
+  "total_masked_cells": 82,
+  "ratio_total_vs_final": 4.1,
+  "sheets_involved": [
+    "aij-UNIFAC (VLE)"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00418/task_meta.json

@@ -0,0 +1,55 @@
+{
+  "fcb_id": "FCB-00418",
+  "task_id": "cross_sheet__dag_88f25ee43026",
+  "tier": "T1_FRONTIER",
+  "category": "cross_sheet",
+  "depth": 4,
+  "total_masked": 82,
+  "is_cross_sheet": true,
+  "prompt_en": "The “aij-UNIFAC (VLE)” sheet is part of a chemical engineering thermodynamics teaching workbook, with instructions about entering temperature in centigrade and a table of residual group interaction parameters for main groups. In that sheet, the COOH column needs to be completed for rows AM36:AM55. Some related blank parameter columns in the workbook support the same table, so those entries should be in place as needed before the COOH column is finalized. Please fill in the missing COOH entries and save the completed workbook as an .xlsx file.",
+  "prompt_cn": "“aij-UNIFAC (VLE)” 工作表属于一本化学工程热力学教学工作簿，其中包含关于输入摄氏温度的说明，以及主基团残余基团相互作用参数表。请在该工作表中补全 COOH 列的 AM36:AM55 行。有些相关的空白参数列也属于同一张表，必要时需要先补齐这些内容，COOH 列才方便最终确认。请填写缺失的 COOH 条目，并将完成后的工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 28,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 4,
+    "D4": 4,
+    "D5": 5,
+    "D6": 5,
+    "frontier_hardness": 4,
+    "local_difficulty": 82.4
+  },
+  "source_file_id": "743185d1628275995-automate-table-creation-through-iterative-process-table-gen-from-a-formula-output_question",
+  "inferred_domain": "education",
+  "domain_confidence": 0.5,
+  "sheet_profiles": [
+    {
+      "name": "UNIFAC (VLE)",
+      "used_range": "A1:DG73",
+      "row_count": 73,
+      "col_count": 111,
+      "has_header": false,
+      "title_hint": "UNIFAC (VLE)",
+      "header_info": null
+    },
+    {
+      "name": "Example of Desired Output",
+      "used_range": "A1:C61",
+      "row_count": 61,
+      "col_count": 3,
+      "has_header": false,
+      "title_hint": "Example of Desired Output",
+      "header_info": null
+    },
+    {
+      "name": "aij-UNIFAC (VLE)",
+      "used_range": "A1:BL71",
+      "row_count": 71,
+      "col_count": 64,
+      "has_header": false,
+      "title_hint": "aij UNIFAC (VLE)",
+      "header_info": null
+    }
+  ]
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00423/layers.json

@@ -0,0 +1,1151 @@
+{
+  "dag_id": "dag_a059e842e208",
+  "file_id": "221300d1363458496-attemepting-to-link-and-automate-multiple-data-points-individual-rep-kpi-report-2013-example",
+  "category": "cross_sheet",
+  "surface_category": "single_sheet",
+  "effective_category": "cross_sheet",
+  "depth": 4,
+  "quality": {
+    "chain_error_cells": 0,
+    "chain_external_cells": 0,
+    "is_clean": true
+  },
+  "layers": [
+    {
+      "layer_index": 1,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00000",
+            "rg_00001",
+            "rg_00002",
+            "rg_00003",
+            "rg_00004",
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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00423/nl_task.json

@@ -0,0 +1,26 @@
+{
+  "task_id": "cross_sheet__dag_a059e842e208",
+  "prompt_en": "The Rep A sheet is a rep performance view with sections such as Name, monthly columns like Jan through Jun, and metrics including Act Rev, % to Goal, AB Goal, Act AB, Act Conv, and Activity, with a Results sheet also showing Rep and Team details. Please fill in the blank entries in the Rep A column on the Rep A sheet, specifically B6, B9, B12, B17, B20, B26, B29, B32, B37, B40, B46, and B52. Some supporting blank entries in the workbook feed into other areas, so make sure the related monthly and activity information is in place where needed before the Rep A column is finalized. Please save the completed workbook as an .xlsx file.",
+  "prompt_cn": "“Rep A”工作表是一张销售代表绩效视图，里面有 Name、Jan 到 Jun 这类月份列，以及 Act Rev、% to Goal、AB Goal、Act AB、Act Conv 和 Activity 等指标；工作簿中还有一个 “Results” 工作表，显示 Rep 和 Team 相关信息。请补全 “Rep A” 工作表中 “Rep A” 列的空白项，位置是 B6、B9、B12、B17、B20、B26、B29、B32、B37、B40、B46 和 B52。工作簿里有些相关的空白信息会影响其他区域，所以在最终补好 “Rep A” 列之前，请确保相关的月份和活动信息也已在需要的位置补齐。请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt identifies the workbook context, sheet names, target column, and exact cells while avoiding formulas, answer values, and operational hints.",
+  "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
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+    "operation_words_found": [],
+    "cell_ranges_found": 0
+  },
+  "version": "v7",
+  "model": "gpt-5.5",
+  "elapsed": 62.0,
+  "attempt": 2
+}