Datasets:

anonymity11
/

FormulaCascade_Benchmark

@@ -370,3 +370,4 @@ FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/layers_02_all/l
 FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08340/layers_02_all/layer_01/layer_01_mask.xlsx filter=lfs diff=lfs merge=lfs -text
 FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08340/layers_02_all/layer_02/layer_02_mask.xlsx filter=lfs diff=lfs merge=lfs -text
 FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08362/layers_02_all/layer_01/layer_01_mask.xlsx filter=lfs diff=lfs merge=lfs -text

 FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08340/layers_02_all/layer_01/layer_01_mask.xlsx filter=lfs diff=lfs merge=lfs -text
 FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08340/layers_02_all/layer_02/layer_02_mask.xlsx filter=lfs diff=lfs merge=lfs -text
 FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08362/layers_02_all/layer_01/layer_01_mask.xlsx filter=lfs diff=lfs merge=lfs -text
+FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00587/src.xlsx filter=lfs diff=lfs merge=lfs -text

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00578/audit.json ADDED Viewed

	@@ -0,0 +1,434 @@

+{
+  "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 40 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=42759B, src=57938B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=3.1 (total=125, final=40)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "62 unique values across 125 cells"
+        },
+        {
+          "check": "tail_artifact",
+          "pass": true,
+          "detail": "0 bad values"
+        },
+        {
+          "check": "unrecoverable_leaf",
+          "pass": true,
+          "detail": "clean",
+          "hidden_const_cells": []
+        },
+        {
+          "check": "adjacent_column_leak",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "header_name_accuracy",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "duplicate_lookup_tie_break",
+          "pass": true,
+          "detail": "no lookup formulas"
+        },
+        {
+          "check": "src_chain_integrity",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean",
+          "sub_checks": {
+            "error_cells": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "external_refs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "volatile_funcs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "missing_sheets": {
+              "pass": true,
+              "count": 0,
+              "sheets": []
+            },
+            "circular_refs": {
+              "pass": true,
+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
+        }
+      ]
+    },
+    "post_nl_validate": {
+      "validate_label": "SOFT_WARN",
+      "validate_pass": true,
+      "hard_fails": 0,
+      "soft_warns": 2,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": false,
+          "detail": "contract=14, prompt=4, missing=5",
+          "missing_ranges": [
+            "M17:M26",
+            "M28:M37",
+            "M39:M48",
+            "M6:M15",
+            "W6"
+          ],
+          "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=2, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": false,
+          "detail": "contract=['Enron Rate Chart', 'Enron Rates'], missing=['Enron Rates']",
+          "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 40 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 [Enron Rates]",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 5 col groups"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": true,
+          "detail": "GT funcs: ['SUM']",
+          "severity": "OK"
+        },
+        {
+          "check": "unmatched_default_rule",
+          "pass": true,
+          "detail": "no default-rule phrase found in NL",
+          "severity": "OK"
+        },
+        {
+          "check": "volatile_function_freeze",
+          "pass": true,
+          "detail": "volatile_cells=0",
+          "severity": "OK"
+        },
+        {
+          "check": "direct_answer_leakage",
+          "pass": true,
+          "detail": "0 leaks out of 125 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": 125,
+      "total_non_none": 125,
+      "block_reasons": [],
+      "warnings": [
+        "mixed_gt_types:{'float': 117, 'int': 8}"
+      ],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "float": 117,
+            "int": 8
+          },
+          "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": 125
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 125,
+      "total_masked": 125,
+      "total_visible": 2239,
+      "depth": 3,
+      "block_reasons": [],
+      "warnings": [],
+      "checks": {
+        "broken_chains": {
+          "count": 0,
+          "checked": 125,
+          "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": 5,
+          "total_src_patterns": 18,
+          "zero_exemplar_count": 2,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": false,
+          "patterns": [
+            {
+              "pattern": "=SUM((REF+REF+REF+REF+REF+REF)+REF)",
+              "total_in_src": 40,
+              "sample_formula": "=SUM((AA6+E6+I6+K6+M6+P6)+W6)"
+            },
+            {
+              "pattern": "=SUM(REF*2)",
+              "total_in_src": 4,
+              "sample_formula": "=SUM(B27*2)"
+            }
+          ]
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "SUM": {
+            "total_masked": 125,
+            "visible_exemplars": 909
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.5,
+      "flags": [
+        {
+          "code": "SC3",
+          "description": "Copy-from-visible: 41/125 GT cells have nearby visible formula clones",
+          "affected_cells": 41,
+          "severity": "medium"
+        }
+      ]
+    },
+    "release_audit": {
+      "surface_single_sheet": false,
+      "surface_sheets": [
+        "Enron Rate Chart",
+        "Enron Rates"
+      ],
+      "cross_sheet_actual": true,
+      "cross_sheet_ref_count": 41,
+      "referenced_sheets": [
+        "Enron Rates"
+      ],
+      "target_shape": "template_column_fill",
+      "layer_sizes": [
+        40,
+        81,
+        4
+      ],
+      "mask_last_total_cells": 125,
+      "layer_growth_ratios": [
+        2.025,
+        0.0494
+      ],
+      "pattern_dominance_ratio": 0.32,
+      "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": "cross_sheet__dag_ae76b196c423",
+    "difficulty_score": 87.5,
+    "difficulty": "hard",
+    "depth": 3,
+    "total_masked": 125,
+    "is_cross_sheet": true,
+    "unique_patterns": 5,
+    "avg_complexity": 15.0,
+    "cross_refs": 41,
+    "visible_exemplar_ratio": 0.048,
+    "score_breakdown": {
+      "depth": 14,
+      "cross_sheet": 10,
+      "cell_count": 13.9,
+      "patterns": 15,
+      "complexity": 15,
+      "cross_refs": 10,
+      "vis_penalty": 9.5
+    }
+  }
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00578/ground_truth_full.json ADDED Viewed

	@@ -0,0 +1,1127 @@

+[
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 6,
+    "formula": "=SUM((AA6+E6+I6+K6+M6+P6)+W6)",
+    "cached_value": -48.92399999999998,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 7,
+    "formula": "=SUM((AA7+E7+I7+K7+M7+P7)+W7)",
+    "cached_value": -48.83999999999999,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 8,
+    "formula": "=SUM((AA8+E8+I8+K8+M8+P8)+W8)",
+    "cached_value": -47.579999999999984,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 9,
+    "formula": "=SUM((AA9+E9+I9+K9+M9+P9)+W9)",
+    "cached_value": -45.89999999999998,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 10,
+    "formula": "=SUM((AA10+E10+I10+K10+M10+P10)+W10)",
+    "cached_value": -44.219999999999985,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 11,
+    "formula": "=SUM((AA11+E11+I11+K11+M11+P11)+W11)",
+    "cached_value": -42.53999999999998,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 12,
+    "formula": "=SUM((AA12+E12+I12+K12+M12+P12)+W12)",
+    "cached_value": -38.33999999999999,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 13,
+    "formula": "=SUM((AA13+E13+I13+K13+M13+P13)+W13)",
+    "cached_value": -34.139999999999986,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 14,
+    "formula": "=SUM((AA14+E14+I14+K14+M14+P14)+W14)",
+    "cached_value": -25.739999999999984,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 15,
+    "formula": "=SUM((AA15+E15+I15+K15+M15+P15)+W15)",
+    "cached_value": -8.939999999999987,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 17,
+    "formula": "=SUM((AA17+E17+I17+K17+M17+P17)+W17)",
+    "cached_value": 92.29599999999995,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 18,
+    "formula": "=SUM((AA18+E18+I18+K18+M18+P18)+W18)",
+    "cached_value": 92.37999999999995,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 19,
+    "formula": "=SUM((AA19+E19+I19+K19+M19+P19)+W19)",
+    "cached_value": 93.63999999999996,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 20,
+    "formula": "=SUM((AA20+E20+I20+K20+M20+P20)+W20)",
+    "cached_value": 95.31999999999995,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 21,
+    "formula": "=SUM((AA21+E21+I21+K21+M21+P21)+W21)",
+    "cached_value": 96.99999999999994,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 22,
+    "formula": "=SUM((AA22+E22+I22+K22+M22+P22)+W22)",
+    "cached_value": 98.67999999999995,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 23,
+    "formula": "=SUM((AA23+E23+I23+K23+M23+P23)+W23)",
+    "cached_value": 102.87999999999995,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 24,
+    "formula": "=SUM((AA24+E24+I24+K24+M24+P24)+W24)",
+    "cached_value": 107.07999999999996,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 25,
+    "formula": "=SUM((AA25+E25+I25+K25+M25+P25)+W25)",
+    "cached_value": 115.47999999999995,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 26,
+    "formula": "=SUM((AA26+E26+I26+K26+M26+P26)+W26)",
+    "cached_value": 132.27999999999994,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 28,
+    "formula": "=SUM((AA28+E28+I28+K28+M28+P28)+W28)",
+    "cached_value": 56.116000000000014,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 29,
+    "formula": "=SUM((AA29+E29+I29+K29+M29+P29)+W29)",
+    "cached_value": 56.20000000000002,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 30,
+    "formula": "=SUM((AA30+E30+I30+K30+M30+P30)+W30)",
+    "cached_value": 57.46000000000002,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 31,
+    "formula": "=SUM((AA31+E31+I31+K31+M31+P31)+W31)",
+    "cached_value": 59.140000000000015,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 32,
+    "formula": "=SUM((AA32+E32+I32+K32+M32+P32)+W32)",
+    "cached_value": 60.82000000000002,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 33,
+    "formula": "=SUM((AA33+E33+I33+K33+M33+P33)+W33)",
+    "cached_value": 62.500000000000014,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 34,
+    "formula": "=SUM((AA34+E34+I34+K34+M34+P34)+W34)",
+    "cached_value": 66.70000000000002,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 35,
+    "formula": "=SUM((AA35+E35+I35+K35+M35+P35)+W35)",
+    "cached_value": 70.90000000000002,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 36,
+    "formula": "=SUM((AA36+E36+I36+K36+M36+P36)+W36)",
+    "cached_value": 79.30000000000003,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 37,
+    "formula": "=SUM((AA37+E37+I37+K37+M37+P37)+W37)",
+    "cached_value": 96.10000000000002,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 39,
+    "formula": "=SUM((AA39+E39+I39+K39+M39+P39)+W39)",
+    "cached_value": 182.37599999999998,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 40,
+    "formula": "=SUM((AA40+E40+I40+K40+M40+P40)+W40)",
+    "cached_value": 182.45999999999995,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 41,
+    "formula": "=SUM((AA41+E41+I41+K41+M41+P41)+W41)",
+    "cached_value": 183.71999999999997,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 42,
+    "formula": "=SUM((AA42+E42+I42+K42+M42+P42)+W42)",
+    "cached_value": 185.39999999999995,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 43,
+    "formula": "=SUM((AA43+E43+I43+K43+M43+P43)+W43)",
+    "cached_value": 187.07999999999996,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 44,
+    "formula": "=SUM((AA44+E44+I44+K44+M44+P44)+W44)",
+    "cached_value": 188.75999999999996,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 45,
+    "formula": "=SUM((AA45+E45+I45+K45+M45+P45)+W45)",
+    "cached_value": 192.95999999999995,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 46,
+    "formula": "=SUM((AA46+E46+I46+K46+M46+P46)+W46)",
+    "cached_value": 197.15999999999997,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 47,
+    "formula": "=SUM((AA47+E47+I47+K47+M47+P47)+W47)",
+    "cached_value": 205.55999999999995,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 48,
+    "formula": "=SUM((AA48+E48+I48+K48+M48+P48)+W48)",
+    "cached_value": 222.35999999999996,
+    "pattern_id": "pf_0008",
+    "layer": 1
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 6,
+    "formula": "=SUM(A6/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 0.336,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 7,
+    "formula": "=SUM(A7/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 0.35000000000000003,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 8,
+    "formula": "=SUM(A8/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 0.56,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 9,
+    "formula": "=SUM(A9/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 0.84,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 10,
+    "formula": "=SUM(A10/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 1.12,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 11,
+    "formula": "=SUM(A11/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 1.4000000000000001,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 12,
+    "formula": "=SUM(A12/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 2.1,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 13,
+    "formula": "=SUM(A13/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 2.8000000000000003,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 14,
+    "formula": "=SUM(A14/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 4.2,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 15,
+    "formula": "=SUM(A15/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 7,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 17,
+    "formula": "=SUM(A17/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 0.336,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 18,
+    "formula": "=SUM(A18/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 0.35000000000000003,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 19,
+    "formula": "=SUM(A19/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 0.56,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 20,
+    "formula": "=SUM(A20/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 0.84,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 21,
+    "formula": "=SUM(A21/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 1.12,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 22,
+    "formula": "=SUM(A22/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 1.4000000000000001,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 23,
+    "formula": "=SUM(A23/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 2.1,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 24,
+    "formula": "=SUM(A24/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 2.8000000000000003,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 25,
+    "formula": "=SUM(A25/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 4.2,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 26,
+    "formula": "=SUM(A26/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 7,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 28,
+    "formula": "=SUM(A28/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 0.336,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 29,
+    "formula": "=SUM(A29/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 0.35000000000000003,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 30,
+    "formula": "=SUM(A30/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 0.56,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 31,
+    "formula": "=SUM(A31/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 0.84,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 32,
+    "formula": "=SUM(A32/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 1.12,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 33,
+    "formula": "=SUM(A33/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 1.4000000000000001,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 34,
+    "formula": "=SUM(A34/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 2.1,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 35,
+    "formula": "=SUM(A35/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 2.8000000000000003,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 36,
+    "formula": "=SUM(A36/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 4.2,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 37,
+    "formula": "=SUM(A37/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 7,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 39,
+    "formula": "=SUM(A39/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 0.336,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 40,
+    "formula": "=SUM(A40/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 0.35000000000000003,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 41,
+    "formula": "=SUM(A41/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 0.56,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 42,
+    "formula": "=SUM(A42/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 0.84,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 43,
+    "formula": "=SUM(A43/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 1.12,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 44,
+    "formula": "=SUM(A44/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 1.4000000000000001,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 45,
+    "formula": "=SUM(A45/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 2.1,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 46,
+    "formula": "=SUM(A46/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 2.8000000000000003,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 47,
+    "formula": "=SUM(A47/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 4.2,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "M",
+    "row": 48,
+    "formula": "=SUM(A48/$M$4*'Enron Rates'!$B$16)",
+    "cached_value": 7,
+    "pattern_id": "pf_0005",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 6,
+    "formula": "=SUM(A6/1000*$P$4)",
+    "cached_value": 1.6800000000000002,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 7,
+    "formula": "=SUM(A7/1000*$P$4)",
+    "cached_value": 1.7500000000000002,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 8,
+    "formula": "=SUM(A8/1000*$P$4)",
+    "cached_value": 2.8000000000000003,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 9,
+    "formula": "=SUM(A9/1000*$P$4)",
+    "cached_value": 4.2,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 10,
+    "formula": "=SUM(A10/1000*$P$4)",
+    "cached_value": 5.6000000000000005,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 11,
+    "formula": "=SUM(A11/1000*$P$4)",
+    "cached_value": 7.000000000000001,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 12,
+    "formula": "=SUM(A12/1000*$P$4)",
+    "cached_value": 10.500000000000002,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 13,
+    "formula": "=SUM(A13/1000*$P$4)",
+    "cached_value": 14.000000000000002,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 14,
+    "formula": "=SUM(A14/1000*$P$4)",
+    "cached_value": 21.000000000000004,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 15,
+    "formula": "=SUM(A15/1000*$P$4)",
+    "cached_value": 35,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 17,
+    "formula": "=SUM(A17/1000*$P$4)",
+    "cached_value": 1.6800000000000002,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 18,
+    "formula": "=SUM(A18/1000*$P$4)",
+    "cached_value": 1.7500000000000002,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 19,
+    "formula": "=SUM(A19/1000*$P$4)",
+    "cached_value": 2.8000000000000003,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 20,
+    "formula": "=SUM(A20/1000*$P$4)",
+    "cached_value": 4.2,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 21,
+    "formula": "=SUM(A21/1000*$P$4)",
+    "cached_value": 5.6000000000000005,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 22,
+    "formula": "=SUM(A22/1000*$P$4)",
+    "cached_value": 7.000000000000001,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 23,
+    "formula": "=SUM(A23/1000*$P$4)",
+    "cached_value": 10.500000000000002,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 24,
+    "formula": "=SUM(A24/1000*$P$4)",
+    "cached_value": 14.000000000000002,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 25,
+    "formula": "=SUM(A25/1000*$P$4)",
+    "cached_value": 21.000000000000004,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 26,
+    "formula": "=SUM(A26/1000*$P$4)",
+    "cached_value": 35,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 28,
+    "formula": "=SUM(A28/1000*$P$4)",
+    "cached_value": 1.6800000000000002,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 29,
+    "formula": "=SUM(A29/1000*$P$4)",
+    "cached_value": 1.7500000000000002,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 30,
+    "formula": "=SUM(A30/1000*$P$4)",
+    "cached_value": 2.8000000000000003,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 31,
+    "formula": "=SUM(A31/1000*$P$4)",
+    "cached_value": 4.2,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 32,
+    "formula": "=SUM(A32/1000*$P$4)",
+    "cached_value": 5.6000000000000005,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 33,
+    "formula": "=SUM(A33/1000*$P$4)",
+    "cached_value": 7.000000000000001,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 34,
+    "formula": "=SUM(A34/1000*$P$4)",
+    "cached_value": 10.500000000000002,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 35,
+    "formula": "=SUM(A35/1000*$P$4)",
+    "cached_value": 14.000000000000002,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 36,
+    "formula": "=SUM(A36/1000*$P$4)",
+    "cached_value": 21.000000000000004,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 37,
+    "formula": "=SUM(A37/1000*$P$4)",
+    "cached_value": 35,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 39,
+    "formula": "=SUM(A39/1000*$P$4)",
+    "cached_value": 1.6800000000000002,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 40,
+    "formula": "=SUM(A40/1000*$P$4)",
+    "cached_value": 1.7500000000000002,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 41,
+    "formula": "=SUM(A41/1000*$P$4)",
+    "cached_value": 2.8000000000000003,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 42,
+    "formula": "=SUM(A42/1000*$P$4)",
+    "cached_value": 4.2,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 43,
+    "formula": "=SUM(A43/1000*$P$4)",
+    "cached_value": 5.6000000000000005,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 44,
+    "formula": "=SUM(A44/1000*$P$4)",
+    "cached_value": 7.000000000000001,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 45,
+    "formula": "=SUM(A45/1000*$P$4)",
+    "cached_value": 10.500000000000002,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 46,
+    "formula": "=SUM(A46/1000*$P$4)",
+    "cached_value": 14.000000000000002,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 47,
+    "formula": "=SUM(A47/1000*$P$4)",
+    "cached_value": 21.000000000000004,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "P",
+    "row": 48,
+    "formula": "=SUM(A48/1000*$P$4)",
+    "cached_value": 35,
+    "pattern_id": "pf_0007",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "W",
+    "row": 6,
+    "formula": "=SUM('Enron Rates'!C29)",
+    "cached_value": 27.62,
+    "pattern_id": "pf_0028",
+    "layer": 2
+  },
+  {
+    "sheet": "Enron Rates",
+    "col": "C",
+    "row": 27,
+    "formula": "=SUM(B27*2)",
+    "cached_value": 7.82,
+    "pattern_id": "pf_0023",
+    "layer": 3
+  },
+  {
+    "sheet": "Enron Rates",
+    "col": "C",
+    "row": 28,
+    "formula": "=SUM(B28*2)",
+    "cached_value": 13.56,
+    "pattern_id": "pf_0023",
+    "layer": 3
+  },
+  {
+    "sheet": "Enron Rates",
+    "col": "C",
+    "row": 29,
+    "formula": "=SUM(B29*2)",
+    "cached_value": 27.62,
+    "pattern_id": "pf_0023",
+    "layer": 3
+  },
+  {
+    "sheet": "Enron Rates",
+    "col": "C",
+    "row": 30,
+    "formula": "=SUM(B30*2)",
+    "cached_value": 37.02,
+    "pattern_id": "pf_0023",
+    "layer": 3
+  }
+]

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00578/ground_truth_target.json ADDED Viewed

	@@ -0,0 +1,322 @@

+[
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 6,
+    "formula": "=SUM((AA6+E6+I6+K6+M6+P6)+W6)",
+    "cached_value": -48.92399999999998,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 7,
+    "formula": "=SUM((AA7+E7+I7+K7+M7+P7)+W7)",
+    "cached_value": -48.83999999999999,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 8,
+    "formula": "=SUM((AA8+E8+I8+K8+M8+P8)+W8)",
+    "cached_value": -47.579999999999984,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 9,
+    "formula": "=SUM((AA9+E9+I9+K9+M9+P9)+W9)",
+    "cached_value": -45.89999999999998,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 10,
+    "formula": "=SUM((AA10+E10+I10+K10+M10+P10)+W10)",
+    "cached_value": -44.219999999999985,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 11,
+    "formula": "=SUM((AA11+E11+I11+K11+M11+P11)+W11)",
+    "cached_value": -42.53999999999998,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 12,
+    "formula": "=SUM((AA12+E12+I12+K12+M12+P12)+W12)",
+    "cached_value": -38.33999999999999,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 13,
+    "formula": "=SUM((AA13+E13+I13+K13+M13+P13)+W13)",
+    "cached_value": -34.139999999999986,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 14,
+    "formula": "=SUM((AA14+E14+I14+K14+M14+P14)+W14)",
+    "cached_value": -25.739999999999984,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 15,
+    "formula": "=SUM((AA15+E15+I15+K15+M15+P15)+W15)",
+    "cached_value": -8.939999999999987,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 17,
+    "formula": "=SUM((AA17+E17+I17+K17+M17+P17)+W17)",
+    "cached_value": 92.29599999999995,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 18,
+    "formula": "=SUM((AA18+E18+I18+K18+M18+P18)+W18)",
+    "cached_value": 92.37999999999995,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 19,
+    "formula": "=SUM((AA19+E19+I19+K19+M19+P19)+W19)",
+    "cached_value": 93.63999999999996,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 20,
+    "formula": "=SUM((AA20+E20+I20+K20+M20+P20)+W20)",
+    "cached_value": 95.31999999999995,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 21,
+    "formula": "=SUM((AA21+E21+I21+K21+M21+P21)+W21)",
+    "cached_value": 96.99999999999994,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 22,
+    "formula": "=SUM((AA22+E22+I22+K22+M22+P22)+W22)",
+    "cached_value": 98.67999999999995,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 23,
+    "formula": "=SUM((AA23+E23+I23+K23+M23+P23)+W23)",
+    "cached_value": 102.87999999999995,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 24,
+    "formula": "=SUM((AA24+E24+I24+K24+M24+P24)+W24)",
+    "cached_value": 107.07999999999996,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 25,
+    "formula": "=SUM((AA25+E25+I25+K25+M25+P25)+W25)",
+    "cached_value": 115.47999999999995,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 26,
+    "formula": "=SUM((AA26+E26+I26+K26+M26+P26)+W26)",
+    "cached_value": 132.27999999999994,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 28,
+    "formula": "=SUM((AA28+E28+I28+K28+M28+P28)+W28)",
+    "cached_value": 56.116000000000014,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 29,
+    "formula": "=SUM((AA29+E29+I29+K29+M29+P29)+W29)",
+    "cached_value": 56.20000000000002,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 30,
+    "formula": "=SUM((AA30+E30+I30+K30+M30+P30)+W30)",
+    "cached_value": 57.46000000000002,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 31,
+    "formula": "=SUM((AA31+E31+I31+K31+M31+P31)+W31)",
+    "cached_value": 59.140000000000015,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 32,
+    "formula": "=SUM((AA32+E32+I32+K32+M32+P32)+W32)",
+    "cached_value": 60.82000000000002,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 33,
+    "formula": "=SUM((AA33+E33+I33+K33+M33+P33)+W33)",
+    "cached_value": 62.500000000000014,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 34,
+    "formula": "=SUM((AA34+E34+I34+K34+M34+P34)+W34)",
+    "cached_value": 66.70000000000002,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 35,
+    "formula": "=SUM((AA35+E35+I35+K35+M35+P35)+W35)",
+    "cached_value": 70.90000000000002,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 36,
+    "formula": "=SUM((AA36+E36+I36+K36+M36+P36)+W36)",
+    "cached_value": 79.30000000000003,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 37,
+    "formula": "=SUM((AA37+E37+I37+K37+M37+P37)+W37)",
+    "cached_value": 96.10000000000002,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 39,
+    "formula": "=SUM((AA39+E39+I39+K39+M39+P39)+W39)",
+    "cached_value": 182.37599999999998,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 40,
+    "formula": "=SUM((AA40+E40+I40+K40+M40+P40)+W40)",
+    "cached_value": 182.45999999999995,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 41,
+    "formula": "=SUM((AA41+E41+I41+K41+M41+P41)+W41)",
+    "cached_value": 183.71999999999997,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 42,
+    "formula": "=SUM((AA42+E42+I42+K42+M42+P42)+W42)",
+    "cached_value": 185.39999999999995,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 43,
+    "formula": "=SUM((AA43+E43+I43+K43+M43+P43)+W43)",
+    "cached_value": 187.07999999999996,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 44,
+    "formula": "=SUM((AA44+E44+I44+K44+M44+P44)+W44)",
+    "cached_value": 188.75999999999996,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 45,
+    "formula": "=SUM((AA45+E45+I45+K45+M45+P45)+W45)",
+    "cached_value": 192.95999999999995,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 46,
+    "formula": "=SUM((AA46+E46+I46+K46+M46+P46)+W46)",
+    "cached_value": 197.15999999999997,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 47,
+    "formula": "=SUM((AA47+E47+I47+K47+M47+P47)+W47)",
+    "cached_value": 205.55999999999995,
+    "pattern_id": "pf_0008"
+  },
+  {
+    "sheet": "Enron Rate Chart",
+    "col": "AB",
+    "row": 48,
+    "formula": "=SUM((AA48+E48+I48+K48+M48+P48)+W48)",
+    "cached_value": 222.35999999999996,
+    "pattern_id": "pf_0008"
+  }
+]

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00578/release_qc.json ADDED Viewed

	@@ -0,0 +1,58 @@

+{
+  "binary": true,
+  "binary_reason": "CORRECT: the mask is clean, targets are real, GT is consistent, and the task is hard but reconstructible from visible workbook structure.",
+  "D1": {
+    "score": 5,
+    "reason": "All 125 contract cells are truly masked, there are no phantom ranges beyond the sheet dimensions, no contract cells left unmasked, and no extra cells removed outside the contract. Visible same-column/formula clues do not make the task trivially copyable because the solver still must reconstruct cross-column and cross-sheet dependencies."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The layer-1 GT formulas are deterministic and consistent with the source workbook structure: AB sums the listed item columns plus flex dollars for each row. The sampled cached values align with the formulas, and there is no indication of broken or inconsistent GT."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL clearly identifies the target sheet and exact AB ranges to fill, and it gives relevant benefit-rate context. It does not explicitly name the Enron Rates prerequisite sheet or all intermediate blanks, but it does warn that some blanks relate to other blank fields, so the task remains understandable."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "Using only mask_last plus the NL, most root evidence is visible: AB is labeled by item numbers, row 5 maps item numbers to columns, adjacent AC and other visible columns reveal the same benefit-cost structure, Enron Rates shows Pay Period versus Monthly rows, and visible LTD/AD&D/Life Insurance headers and adjacent formulas provide clues for the dependency chain. The solver must infer several masked intermediate formulas, especially M, P, W6, and Enron Rates C27:C30, but the needed structural evidence is present rather than hidden.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 5,
+    "reason": "The source workbook appears structurally sound: headers are meaningful, formulas are coherent across repeated plan sections, cross-sheet references point to existing sheets and ranges, and there are no signs of corrupted data, circular references, or broken formulas in the provided context."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The NL sounds like a realistic workplace request for payroll/headcount reconciliation, avoids benchmark jargon, and naturally describes the benefit-rate sections and required Monthly entries."
+  },
+  "total": 28,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality task with clean masking, valid GT, meaningful cross-sheet dependency reconstruction, and sufficient visible evidence. Minor prompt omissions do not materially affect solvability.",
+  "frontier_hardness": {
+    "score": 4,
+    "reason": "This is genuinely hard because it requires reconstructing a multi-layer dependency chain across sheets, inferring several formula patterns from headers and adjacent formulas, and filling many interacting cells. It is not trivially copyable, but the evidence is present.",
+    "fail_reason": "cross_sheet_multi_hop",
+    "is_valid_hardness": true
+  },
+  "_prompt_chars": 69095,
+  "_timing_load_workbooks": 0.38,
+  "_timing_context": 0.01,
+  "_timing_api": 45.97,
+  "local_difficulty": {
+    "difficulty_score": 87.5,
+    "difficulty": "hard",
+    "depth": 3,
+    "total_masked": 125,
+    "is_cross_sheet": true,
+    "unique_patterns": 5,
+    "avg_complexity": 15,
+    "cross_refs": 41,
+    "visible_exemplar_ratio": 0.048
+  },
+  "task_id": "cross_sheet__dag_ae76b196c423",
+  "elapsed": 46.4,
+  "publish_decision": "YES",
+  "release_tier": "FRONTIER_HARD",
+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00578/target_contract.json ADDED Viewed

	@@ -0,0 +1,214 @@

+{
+  "task_id": "cross_sheet__dag_ae76b196c423",
+  "category": "cross_sheet",
+  "depth": 3,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "Enron Rate Chart",
+        "column": "AB",
+        "column_header": "Monthly",
+        "cell_range": "AB6:AB15, AB17:AB26, AB28:AB37, AB39:AB48",
+        "cell_count": 40,
+        "rows": [
+          6,
+          7,
+          8,
+          9,
+          10,
+          11,
+          12,
+          13,
+          14,
+          15,
+          17,
+          18,
+          19,
+          20,
+          21,
+          22,
+          23,
+          24,
+          25,
+          26,
+          28,
+          29,
+          30,
+          31,
+          32,
+          33,
+          34,
+          35,
+          36,
+          37,
+          39,
+          40,
+          41,
+          42,
+          43,
+          44,
+          45,
+          46,
+          47,
+          48
+        ],
+        "first_row_label": "<25,000",
+        "last_row_label": ">500,000"
+      }
+    ],
+    "cell_count": 40,
+    "formula_families": [
+      "aggregation"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 3,
+      "regions": [
+        {
+          "sheet": "Enron Rates",
+          "column": "C",
+          "column_header": "Monthly",
+          "cell_range": "C27:C30",
+          "cell_count": 4,
+          "rows": [
+            27,
+            28,
+            29,
+            30
+          ],
+          "first_row_label": "40% of Base Pay",
+          "last_row_label": "75% of Base Pay"
+        }
+      ],
+      "cell_count": 4
+    },
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Enron Rate Chart",
+          "column": "M",
+          "column_header": "EO",
+          "cell_range": "M6:M15, M17:M26, M28:M37, M39:M48",
+          "cell_count": 40,
+          "rows": [
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            28,
+            29,
+            30,
+            31,
+            32,
+            33,
+            34,
+            35,
+            36,
+            37,
+            39,
+            40,
+            41,
+            42,
+            43,
+            44,
+            45,
+            46,
+            47,
+            48
+          ],
+          "first_row_label": "<25,000",
+          "last_row_label": ">500,000"
+        },
+        {
+          "sheet": "Enron Rate Chart",
+          "column": "P",
+          "column_header": "EE",
+          "cell_range": "P6:P15, P17:P26, P28:P37, P39:P48",
+          "cell_count": 40,
+          "rows": [
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            28,
+            29,
+            30,
+            31,
+            32,
+            33,
+            34,
+            35,
+            36,
+            37,
+            39,
+            40,
+            41,
+            42,
+            43,
+            44,
+            45,
+            46,
+            47,
+            48
+          ],
+          "first_row_label": "<25,000",
+          "last_row_label": ">500,000"
+        },
+        {
+          "sheet": "Enron Rate Chart",
+          "column": "W",
+          "column_header": "65%",
+          "cell_range": "W6",
+          "cell_count": 1,
+          "rows": [
+            6
+          ],
+          "first_row_label": "<25,000",
+          "last_row_label": ""
+        }
+      ],
+      "cell_count": 81
+    }
+  ],
+  "total_prerequisite_cells": 85,
+  "total_masked_cells": 125,
+  "ratio_total_vs_final": 3.1,
+  "sheets_involved": [
+    "Enron Rate Chart",
+    "Enron Rates"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00587/audit.json ADDED Viewed

	@@ -0,0 +1,532 @@

+{
+  "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 14 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=94352B, src=115741B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=4.9 (total=68, final=14)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "43 unique values across 68 cells"
+        },
+        {
+          "check": "tail_artifact",
+          "pass": true,
+          "detail": "0 bad values"
+        },
+        {
+          "check": "unrecoverable_leaf",
+          "pass": true,
+          "detail": "clean",
+          "hidden_const_cells": []
+        },
+        {
+          "check": "adjacent_column_leak",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "header_name_accuracy",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "duplicate_lookup_tie_break",
+          "pass": true,
+          "detail": "no lookup formulas"
+        },
+        {
+          "check": "src_chain_integrity",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean",
+          "sub_checks": {
+            "error_cells": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "external_refs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "volatile_funcs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "missing_sheets": {
+              "pass": true,
+              "count": 0,
+              "sheets": []
+            },
+            "circular_refs": {
+              "pass": true,
+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
+        }
+      ]
+    },
+    "post_nl_validate": {
+      "validate_label": "SOFT_WARN",
+      "validate_pass": true,
+      "hard_fails": 0,
+      "soft_warns": 2,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": false,
+          "detail": "contract=6, prompt=2, missing=1",
+          "missing_ranges": [
+            "H126:H129"
+          ],
+          "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=2, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": false,
+          "detail": "contract=[\"Monthly ODS SALES KPI'S \", 'Team Blue', 'Team Green', 'Team Red'], missing=['Team Blue', 'Team Green', 'Team Red']",
+          "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 14 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=3 mentioned=0 missing=3 [Team Blue, Team Green, Team Red]",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 9 col groups; CONFLICTS: Monthly ODS SALES KPI'S !R25: visible='=L25/J25' vs GT pattern='=IF(ISERROR(L#/J#),\"\",L#/J#)'; Monthly ODS SALES KPI'S !J25: visible='=SUM(J11,J16,J21)' vs GT pattern='='Team Red'!H#'"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": true,
+          "detail": "GT funcs: ['IF', 'ISERROR', '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 68 GT cells (0%)",
+          "severity": "OK"
+        }
+      ]
+    },
+    "pre_nl_local": {
+      "local_total": 58,
+      "local_label": "PENDING_NL",
+      "hard_fail_flags": [],
+      "warnings": [
+        "release_verdict_not_keep",
+        "nl_missing"
+      ],
+      "local_subscores": {
+        "family_clean": 25,
+        "target_integrity": 15,
+        "taxonomy": 10,
+        "semantic_signal": 8,
+        "nl_schema": 0,
+        "target_alignment": 0,
+        "business_specificity": 0,
+        "nl_risk": 0
+      }
+    }
+  },
+  "verify": {
+    "uniqueness": {
+      "total_gt_cells": 68,
+      "total_non_none": 68,
+      "block_reasons": [],
+      "warnings": [
+        "mixed_gt_types:{'float': 14, 'int': 54}"
+      ],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "float": 14,
+            "int": 54
+          },
+          "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": 68
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 68,
+      "total_masked": 68,
+      "total_visible": 2262,
+      "depth": 3,
+      "block_reasons": [
+        "broken_chains:24/68=35.3%"
+      ],
+      "warnings": [],
+      "checks": {
+        "broken_chains": {
+          "count": 24,
+          "checked": 68,
+          "details": [
+            {
+              "cell": "Team Red!H126",
+              "missing_dep": "Team Red!H95",
+              "formula": "=SUM(H2,H7,H12,H17,H22,H28,H33,H38,H43,H48,H54,H59,H64,H69,H74,H80,H85,H90,H95,H"
+            },
+            {
+              "cell": "Team Red!H129",
+              "missing_dep": "Team Red!H98",
+              "formula": "=SUM(H5,H10,H15,H20,H25,H31,H36,H41,H46,H51,H57,H62,H67,H72,H77,H83,H88,H93,H98,"
+            },
+            {
+              "cell": "Team Green!J127",
+              "missing_dep": "Team Green!J18",
+              "formula": "=SUM(J3,J8,J13,J18,J23,J29,J34,J39,J44,J49,J55,J60,J65,J70,J75,J81,J86,J91,J96,J"
+            },
+            {
+              "cell": "Team Red!J127",
+              "missing_dep": "Team Red!J3",
+              "formula": "=SUM(J3,J8,J13,J18,J23,J29,J34,J39,J44,J49,J55,J60,J65,J70,J75,J81,J86,J91,J96,J"
+            },
+            {
+              "cell": "Team Blue!J129",
+              "missing_dep": "Team Blue!J10",
+              "formula": "=SUM(J5,J10,J15,J20,J25,J31,J36,J41,J46,J51,J57,J62,J67,J72,J77,J83,J88,J93,J98,"
+            },
+            {
+              "cell": "Team Blue!J126",
+              "missing_dep": "Team Blue!J17",
+              "formula": "=SUM(J2,J7,J12,J17,J22,J28,J33,J38,J43,J48,J54,J59,J64,J69,J74,J80,J85,J90,J95,J"
+            },
+            {
+              "cell": "Team Green!H126",
+              "missing_dep": "Team Green!H95",
+              "formula": "=SUM(H2,H7,H12,H17,H22,H28,H33,H38,H43,H48,H54,H59,H64,H69,H74,H80,H85,H90,H95,H"
+            },
+            {
+              "cell": "Team Green!H129",
+              "missing_dep": "Team Green!H5",
+              "formula": "=SUM(H5,H10,H15,H20,H25,H31,H36,H41,H46,H51,H57,H62,H67,H72,H77,H83,H88,H93,H98,"
+            },
+            {
+              "cell": "Team Blue!H127",
+              "missing_dep": "Team Blue!H55",
+              "formula": "=SUM(H3,H8,H13,H18,H23,H29,H34,H39,H44,H49,H55,H60,H65,H70,H75,H81,H86,H91,H96,H"
+            },
+            {
+              "cell": "Team Red!H128",
+              "missing_dep": "Team Red!H9",
+              "formula": "=SUM(H4,H9,H14,H19,H24,H30,H35,H40,H45,H50,H56,H61,H66,H71,H76,H82,H87,H92,H97,H"
+            },
+            {
+              "cell": "Team Red!J126",
+              "missing_dep": "Team Red!J100",
+              "formula": "=SUM(J2,J7,J12,J17,J22,J28,J33,J38,J43,J48,J54,J59,J64,J69,J74,J80,J85,J90,J95,J"
+            },
+            {
+              "cell": "Team Red!J129",
+              "missing_dep": "Team Red!J5",
+              "formula": "=SUM(J5,J10,J15,J20,J25,J31,J36,J41,J46,J51,J57,J62,J67,J72,J77,J83,J88,J93,J98,"
+            },
+            {
+              "cell": "Team Green!J126",
+              "missing_dep": "Team Green!J100",
+              "formula": "=SUM(J2,J7,J12,J17,J22,J28,J33,J38,J43,J48,J54,J59,J64,J69,J74,J80,J85,J90,J95,J"
+            },
+            {
+              "cell": "Team Blue!J128",
+              "missing_dep": "Team Blue!J9",
+              "formula": "=SUM(J4,J9,J14,J19,J24,J30,J35,J40,J45,J50,J56,J61,J66,J71,J76,J82,J87,J92,J97,J"
+            },
+            {
+              "cell": "Team Green!J129",
+              "missing_dep": "Team Green!J5",
+              "formula": "=SUM(J5,J10,J15,J20,J25,J31,J36,J41,J46,J51,J57,J62,J67,J72,J77,J83,J88,J93,J98,"
+            },
+            {
+              "cell": "Team Green!H128",
+              "missing_dep": "Team Green!H97",
+              "formula": "=SUM(H4,H9,H14,H19,H24,H30,H35,H40,H45,H50,H56,H61,H66,H71,H76,H82,H87,H92,H97,H"
+            },
+            {
+              "cell": "Team Blue!H129",
+              "missing_dep": "Team Blue!H83",
+              "formula": "=SUM(H5,H10,H15,H20,H25,H31,H36,H41,H46,H51,H57,H62,H67,H72,H77,H83,H88,H93,H98,"
+            },
+            {
+              "cell": "Team Blue!H126",
+              "missing_dep": "Team Blue!H95",
+              "formula": "=SUM(H2,H7,H12,H17,H22,H28,H33,H38,H43,H48,H54,H59,H64,H69,H74,H80,H85,H90,H95,H"
+            },
+            {
+              "cell": "Team Red!H127",
+              "missing_dep": "Team Red!H81",
+              "formula": "=SUM(H3,H8,H13,H18,H23,H29,H34,H39,H44,H49,H55,H60,H65,H70,H75,H81,H86,H91,H96,H"
+            },
+            {
+              "cell": "Team Red!J128",
+              "missing_dep": "Team Red!J9",
+              "formula": "=SUM(J4,J9,J14,J19,J24,J30,J35,J40,J45,J50,J56,J61,J66,J71,J76,J82,J87,J92,J97,J"
+            }
+          ]
+        },
+        "orphan_masks": {
+          "count": 0,
+          "details": []
+        },
+        "self_contained": {
+          "missing_sheets": []
+        }
+      }
+    },
+    "exemplar": {
+      "soft_block": false,
+      "block_reasons": [],
+      "checks": {
+        "pattern_coverage": {
+          "pass": true,
+          "total_gt_patterns": 4,
+          "total_src_patterns": 21,
+          "zero_exemplar_count": 0,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "SUM": {
+            "total_masked": 24,
+            "visible_exemplars": 1612
+          },
+          "IF": {
+            "total_masked": 14,
+            "visible_exemplars": 2194
+          },
+          "arithmetic": {
+            "total_masked": 6,
+            "visible_exemplars": 627
+          },
+          "reference": {
+            "total_masked": 24,
+            "visible_exemplars": 120
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.0,
+      "flags": []
+    },
+    "release_audit": {
+      "surface_single_sheet": false,
+      "surface_sheets": [
+        "Monthly ODS SALES KPI'S ",
+        "Team Blue",
+        "Team Green",
+        "Team Red"
+      ],
+      "cross_sheet_actual": true,
+      "cross_sheet_ref_count": 24,
+      "referenced_sheets": [
+        "Team Blue",
+        "Team Green",
+        "Team Red"
+      ],
+      "target_shape": "summary_block",
+      "layer_sizes": [
+        14,
+        30,
+        24
+      ],
+      "mask_last_total_cells": 68,
+      "layer_growth_ratios": [
+        2.1429,
+        0.8
+      ],
+      "pattern_dominance_ratio": 0.3529,
+      "visible_clone_regions": 25,
+      "nearby_visible_clone_regions": 25,
+      "nearby_visible_clone_rows": 101,
+      "nearby_visible_clone_ratio": 4.2083,
+      "promptability_score": 0.6,
+      "release_reasons": [
+        "parallel_block_leakage"
+      ],
+      "release_verdict": "REBUILD_REQUIRED"
+    }
+  },
+  "difficulty": {
+    "task_id": "cross_sheet__dag_dd271ceabc32",
+    "difficulty_score": 84.4,
+    "difficulty": "hard",
+    "depth": 3,
+    "total_masked": 68,
+    "is_cross_sheet": true,
+    "unique_patterns": 11,
+    "avg_complexity": 25.0,
+    "cross_refs": 24,
+    "visible_exemplar_ratio": 0.176,
+    "score_breakdown": {
+      "depth": 14,
+      "cross_sheet": 10,
+      "cell_count": 12.2,
+      "patterns": 15,
+      "complexity": 15,
+      "cross_refs": 10,
+      "vis_penalty": 8.2
+    }
+  }
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00587/ground_truth_full.json ADDED Viewed

	@@ -0,0 +1,614 @@

+[
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 7,
+    "formula": "=IF(ISERROR(L7/J7),\"\",L7/J7)",
+    "cached_value": 0.6190476190476191,
+    "pattern_id": "pf_0007",
+    "layer": 1
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 8,
+    "formula": "=IF(ISERROR(L8/J8),\"\",L8/J8)",
+    "cached_value": 0.7058823529411765,
+    "pattern_id": "pf_0007",
+    "layer": 1
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 9,
+    "formula": "=IF(ISERROR(L9/J9),\"\",L9/J9)",
+    "cached_value": 0.5428571428571428,
+    "pattern_id": "pf_0007",
+    "layer": 1
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 10,
+    "formula": "=IF(ISERROR(L10/J10),\"\",L10/J10)",
+    "cached_value": 0.4177215189873418,
+    "pattern_id": "pf_0007",
+    "layer": 1
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 11,
+    "formula": "=IF(ISERROR(L11/J11),\"\",L11/J11)",
+    "cached_value": 0.5666666666666667,
+    "pattern_id": "pf_0007",
+    "layer": 1
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 12,
+    "formula": "=IF(ISERROR(L12/J12),\"\",L12/J12)",
+    "cached_value": 0.6721311475409836,
+    "pattern_id": "pf_0007",
+    "layer": 1
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 13,
+    "formula": "=IF(ISERROR(L13/J13),\"\",L13/J13)",
+    "cached_value": 0.6376811594202898,
+    "pattern_id": "pf_0007",
+    "layer": 1
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 14,
+    "formula": "=IF(ISERROR(L14/J14),\"\",L14/J14)",
+    "cached_value": 0.7333333333333333,
+    "pattern_id": "pf_0007",
+    "layer": 1
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 16,
+    "formula": "=IF(ISERROR(L16/J16),\"\",L16/J16)",
+    "cached_value": 0.6777251184834123,
+    "pattern_id": "pf_0007",
+    "layer": 1
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 17,
+    "formula": "=IF(ISERROR(L17/J17),\"\",L17/J17)",
+    "cached_value": 0.59375,
+    "pattern_id": "pf_0007",
+    "layer": 1
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 18,
+    "formula": "=IF(ISERROR(L18/J18),\"\",L18/J18)",
+    "cached_value": 0.8571428571428571,
+    "pattern_id": "pf_0007",
+    "layer": 1
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 19,
+    "formula": "=IF(ISERROR(L19/J19),\"\",L19/J19)",
+    "cached_value": 0.5813953488372093,
+    "pattern_id": "pf_0007",
+    "layer": 1
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 20,
+    "formula": "=IF(ISERROR(L20/J20),\"\",L20/J20)",
+    "cached_value": 0.5932203389830508,
+    "pattern_id": "pf_0007",
+    "layer": 1
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 21,
+    "formula": "=IF(ISERROR(L21/J21),\"\",L21/J21)",
+    "cached_value": 0.6288659793814433,
+    "pattern_id": "pf_0007",
+    "layer": 1
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "J",
+    "row": 11,
+    "formula": "=J7+J8+J9+J10",
+    "cached_value": 270,
+    "pattern_id": "pf_0006",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "J",
+    "row": 16,
+    "formula": "=J12+J13+J14+J15",
+    "cached_value": 211,
+    "pattern_id": "pf_0006",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "J",
+    "row": 21,
+    "formula": "=J17+J18+J19+J20",
+    "cached_value": 194,
+    "pattern_id": "pf_0006",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "L",
+    "row": 11,
+    "formula": "=L7+L8+L9+L10",
+    "cached_value": 153,
+    "pattern_id": "pf_0006",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "L",
+    "row": 16,
+    "formula": "=L12+L13+L14+L15",
+    "cached_value": 143,
+    "pattern_id": "pf_0006",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "L",
+    "row": 21,
+    "formula": "=L17+L18+L19+L20",
+    "cached_value": 122,
+    "pattern_id": "pf_0006",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "J",
+    "row": 7,
+    "formula": "='Team Red'!H126",
+    "cached_value": 105,
+    "pattern_id": "pf_0033",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "J",
+    "row": 8,
+    "formula": "='Team Red'!H127",
+    "cached_value": 51,
+    "pattern_id": "pf_0033",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "J",
+    "row": 9,
+    "formula": "='Team Red'!H128",
+    "cached_value": 35,
+    "pattern_id": "pf_0033",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "J",
+    "row": 10,
+    "formula": "='Team Red'!H129",
+    "cached_value": 79,
+    "pattern_id": "pf_0033",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "L",
+    "row": 7,
+    "formula": "='Team Red'!J126",
+    "cached_value": 65,
+    "pattern_id": "pf_0033",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "L",
+    "row": 8,
+    "formula": "='Team Red'!J127",
+    "cached_value": 36,
+    "pattern_id": "pf_0033",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "L",
+    "row": 9,
+    "formula": "='Team Red'!J128",
+    "cached_value": 19,
+    "pattern_id": "pf_0033",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "L",
+    "row": 10,
+    "formula": "='Team Red'!J129",
+    "cached_value": 33,
+    "pattern_id": "pf_0033",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "J",
+    "row": 12,
+    "formula": "='Team Green'!H126",
+    "cached_value": 61,
+    "pattern_id": "pf_0034",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "J",
+    "row": 13,
+    "formula": "='Team Green'!H127",
+    "cached_value": 69,
+    "pattern_id": "pf_0034",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "J",
+    "row": 14,
+    "formula": "='Team Green'!H128",
+    "cached_value": 75,
+    "pattern_id": "pf_0034",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "J",
+    "row": 15,
+    "formula": "='Team Green'!H129",
+    "cached_value": 6,
+    "pattern_id": "pf_0034",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "L",
+    "row": 12,
+    "formula": "='Team Green'!J126",
+    "cached_value": 41,
+    "pattern_id": "pf_0034",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "L",
+    "row": 13,
+    "formula": "='Team Green'!J127",
+    "cached_value": 44,
+    "pattern_id": "pf_0034",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "L",
+    "row": 14,
+    "formula": "='Team Green'!J128",
+    "cached_value": 55,
+    "pattern_id": "pf_0034",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "L",
+    "row": 15,
+    "formula": "='Team Green'!J129",
+    "cached_value": 3,
+    "pattern_id": "pf_0034",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "J",
+    "row": 17,
+    "formula": "='Team Blue'!H126",
+    "cached_value": 64,
+    "pattern_id": "pf_0035",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "J",
+    "row": 18,
+    "formula": "='Team Blue'!H127",
+    "cached_value": 28,
+    "pattern_id": "pf_0035",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "J",
+    "row": 19,
+    "formula": "='Team Blue'!H128",
+    "cached_value": 43,
+    "pattern_id": "pf_0035",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "J",
+    "row": 20,
+    "formula": "='Team Blue'!H129",
+    "cached_value": 59,
+    "pattern_id": "pf_0035",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "L",
+    "row": 17,
+    "formula": "='Team Blue'!J126",
+    "cached_value": 38,
+    "pattern_id": "pf_0035",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "L",
+    "row": 18,
+    "formula": "='Team Blue'!J127",
+    "cached_value": 24,
+    "pattern_id": "pf_0035",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "L",
+    "row": 19,
+    "formula": "='Team Blue'!J128",
+    "cached_value": 25,
+    "pattern_id": "pf_0035",
+    "layer": 2
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "L",
+    "row": 20,
+    "formula": "='Team Blue'!J129",
+    "cached_value": 35,
+    "pattern_id": "pf_0035",
+    "layer": 2
+  },
+  {
+    "sheet": "Team Red",
+    "col": "H",
+    "row": 126,
+    "formula": "=SUM(H2,H7,H12,H17,H22,H28,H33,H38,H43,H48,H54,H59,H64,H69,H74,H80,H85,H90,H95,H100,H106,H111,H116)",
+    "cached_value": 105,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Red",
+    "col": "H",
+    "row": 127,
+    "formula": "=SUM(H3,H8,H13,H18,H23,H29,H34,H39,H44,H49,H55,H60,H65,H70,H75,H81,H86,H91,H96,H101,H107,H112,H117)",
+    "cached_value": 51,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Red",
+    "col": "H",
+    "row": 128,
+    "formula": "=SUM(H4,H9,H14,H19,H24,H30,H35,H40,H45,H50,H56,H61,H66,H71,H76,H82,H87,H92,H97,H102,H108,H113,H118)",
+    "cached_value": 35,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Red",
+    "col": "H",
+    "row": 129,
+    "formula": "=SUM(H5,H10,H15,H20,H25,H31,H36,H41,H46,H51,H57,H62,H67,H72,H77,H83,H88,H93,H98,H103,H109,H114,H119)",
+    "cached_value": 79,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Red",
+    "col": "J",
+    "row": 126,
+    "formula": "=SUM(J2,J7,J12,J17,J22,J28,J33,J38,J43,J48,J54,J59,J64,J69,J74,J80,J85,J90,J95,J100,J106,J111,J116)",
+    "cached_value": 65,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Red",
+    "col": "J",
+    "row": 127,
+    "formula": "=SUM(J3,J8,J13,J18,J23,J29,J34,J39,J44,J49,J55,J60,J65,J70,J75,J81,J86,J91,J96,J101,J107,J112,J117)",
+    "cached_value": 36,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Red",
+    "col": "J",
+    "row": 128,
+    "formula": "=SUM(J4,J9,J14,J19,J24,J30,J35,J40,J45,J50,J56,J61,J66,J71,J76,J82,J87,J92,J97,J102,J108,J113,J118)",
+    "cached_value": 19,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Red",
+    "col": "J",
+    "row": 129,
+    "formula": "=SUM(J5,J10,J15,J20,J25,J31,J36,J41,J46,J51,J57,J62,J67,J72,J77,J83,J88,J93,J98,J103,J109,J114,J119)",
+    "cached_value": 33,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Green",
+    "col": "H",
+    "row": 126,
+    "formula": "=SUM(H2,H7,H12,H17,H22,H28,H33,H38,H43,H48,H54,H59,H64,H69,H74,H80,H85,H90,H95,H100,H106,H111,H116)",
+    "cached_value": 61,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Green",
+    "col": "H",
+    "row": 127,
+    "formula": "=SUM(H3,H8,H13,H18,H23,H29,H34,H39,H44,H49,H55,H60,H65,H70,H75,H81,H86,H91,H96,H101,H107,H112,H117)",
+    "cached_value": 69,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Green",
+    "col": "H",
+    "row": 128,
+    "formula": "=SUM(H4,H9,H14,H19,H24,H30,H35,H40,H45,H50,H56,H61,H66,H71,H76,H82,H87,H92,H97,H102,H108,H113,H118)",
+    "cached_value": 75,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Green",
+    "col": "H",
+    "row": 129,
+    "formula": "=SUM(H5,H10,H15,H20,H25,H31,H36,H41,H46,H51,H57,H62,H67,H72,H77,H83,H88,H93,H98,H103,H109,H114,H119)",
+    "cached_value": 6,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Green",
+    "col": "J",
+    "row": 126,
+    "formula": "=SUM(J2,J7,J12,J17,J22,J28,J33,J38,J43,J48,J54,J59,J64,J69,J74,J80,J85,J90,J95,J100,J106,J111,J116)",
+    "cached_value": 41,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Green",
+    "col": "J",
+    "row": 127,
+    "formula": "=SUM(J3,J8,J13,J18,J23,J29,J34,J39,J44,J49,J55,J60,J65,J70,J75,J81,J86,J91,J96,J101,J107,J112,J117)",
+    "cached_value": 44,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Green",
+    "col": "J",
+    "row": 128,
+    "formula": "=SUM(J4,J9,J14,J19,J24,J30,J35,J40,J45,J50,J56,J61,J66,J71,J76,J82,J87,J92,J97,J102,J108,J113,J118)",
+    "cached_value": 55,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Green",
+    "col": "J",
+    "row": 129,
+    "formula": "=SUM(J5,J10,J15,J20,J25,J31,J36,J41,J46,J51,J57,J62,J67,J72,J77,J83,J88,J93,J98,J103,J109,J114,J119)",
+    "cached_value": 3,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Blue",
+    "col": "H",
+    "row": 126,
+    "formula": "=SUM(H2,H7,H12,H17,H22,H28,H33,H38,H43,H48,H54,H59,H64,H69,H74,H80,H85,H90,H95,H100,H106,H111,H116)",
+    "cached_value": 64,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Blue",
+    "col": "H",
+    "row": 127,
+    "formula": "=SUM(H3,H8,H13,H18,H23,H29,H34,H39,H44,H49,H55,H60,H65,H70,H75,H81,H86,H91,H96,H101,H107,H112,H117)",
+    "cached_value": 28,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Blue",
+    "col": "H",
+    "row": 128,
+    "formula": "=SUM(H4,H9,H14,H19,H24,H30,H35,H40,H45,H50,H56,H61,H66,H71,H76,H82,H87,H92,H97,H102,H108,H113,H118)",
+    "cached_value": 43,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Blue",
+    "col": "H",
+    "row": 129,
+    "formula": "=SUM(H5,H10,H15,H20,H25,H31,H36,H41,H46,H51,H57,H62,H67,H72,H77,H83,H88,H93,H98,H103,H109,H114,H119)",
+    "cached_value": 59,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Blue",
+    "col": "J",
+    "row": 126,
+    "formula": "=SUM(J2,J7,J12,J17,J22,J28,J33,J38,J43,J48,J54,J59,J64,J69,J74,J80,J85,J90,J95,J100,J106,J111,J116)",
+    "cached_value": 38,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Blue",
+    "col": "J",
+    "row": 127,
+    "formula": "=SUM(J3,J8,J13,J18,J23,J29,J34,J39,J44,J49,J55,J60,J65,J70,J75,J81,J86,J91,J96,J101,J107,J112,J117)",
+    "cached_value": 24,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Blue",
+    "col": "J",
+    "row": 128,
+    "formula": "=SUM(J4,J9,J14,J19,J24,J30,J35,J40,J45,J50,J56,J61,J66,J71,J76,J82,J87,J92,J97,J102,J108,J113,J118)",
+    "cached_value": 25,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  },
+  {
+    "sheet": "Team Blue",
+    "col": "J",
+    "row": 129,
+    "formula": "=SUM(J5,J10,J15,J20,J25,J31,J36,J41,J46,J51,J57,J62,J67,J72,J77,J83,J88,J93,J98,J103,J109,J114,J119)",
+    "cached_value": 35,
+    "pattern_id": "pf_0008",
+    "layer": 3
+  }
+]

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00587/ground_truth_target.json ADDED Viewed

	@@ -0,0 +1,114 @@

+[
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 7,
+    "formula": "=IF(ISERROR(L7/J7),\"\",L7/J7)",
+    "cached_value": 0.6190476190476191,
+    "pattern_id": "pf_0007"
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 8,
+    "formula": "=IF(ISERROR(L8/J8),\"\",L8/J8)",
+    "cached_value": 0.7058823529411765,
+    "pattern_id": "pf_0007"
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 9,
+    "formula": "=IF(ISERROR(L9/J9),\"\",L9/J9)",
+    "cached_value": 0.5428571428571428,
+    "pattern_id": "pf_0007"
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 10,
+    "formula": "=IF(ISERROR(L10/J10),\"\",L10/J10)",
+    "cached_value": 0.4177215189873418,
+    "pattern_id": "pf_0007"
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 11,
+    "formula": "=IF(ISERROR(L11/J11),\"\",L11/J11)",
+    "cached_value": 0.5666666666666667,
+    "pattern_id": "pf_0007"
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 12,
+    "formula": "=IF(ISERROR(L12/J12),\"\",L12/J12)",
+    "cached_value": 0.6721311475409836,
+    "pattern_id": "pf_0007"
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 13,
+    "formula": "=IF(ISERROR(L13/J13),\"\",L13/J13)",
+    "cached_value": 0.6376811594202898,
+    "pattern_id": "pf_0007"
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 14,
+    "formula": "=IF(ISERROR(L14/J14),\"\",L14/J14)",
+    "cached_value": 0.7333333333333333,
+    "pattern_id": "pf_0007"
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 16,
+    "formula": "=IF(ISERROR(L16/J16),\"\",L16/J16)",
+    "cached_value": 0.6777251184834123,
+    "pattern_id": "pf_0007"
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 17,
+    "formula": "=IF(ISERROR(L17/J17),\"\",L17/J17)",
+    "cached_value": 0.59375,
+    "pattern_id": "pf_0007"
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 18,
+    "formula": "=IF(ISERROR(L18/J18),\"\",L18/J18)",
+    "cached_value": 0.8571428571428571,
+    "pattern_id": "pf_0007"
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 19,
+    "formula": "=IF(ISERROR(L19/J19),\"\",L19/J19)",
+    "cached_value": 0.5813953488372093,
+    "pattern_id": "pf_0007"
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 20,
+    "formula": "=IF(ISERROR(L20/J20),\"\",L20/J20)",
+    "cached_value": 0.5932203389830508,
+    "pattern_id": "pf_0007"
+  },
+  {
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "row": 21,
+    "formula": "=IF(ISERROR(L21/J21),\"\",L21/J21)",
+    "cached_value": 0.6288659793814433,
+    "pattern_id": "pf_0007"
+  }
+]

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00587/layers.json ADDED Viewed

	@@ -0,0 +1,327 @@

+{
+  "dag_id": "dag_dd271ceabc32",
+  "file_id": "101676d1299762343-forumla-14th-feb-march-sales-agent-stats",
+  "category": "cross_sheet",
+  "surface_category": "cross_sheet",
+  "effective_category": "cross_sheet",
+  "depth": 3,
+  "quality": {
+    "chain_error_cells": 0,
+    "chain_external_cells": 0,
+    "is_clean": true
+  },
+  "layers": [
+    {
+      "layer_index": 1,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00986",
+            "rg_00987"
+          ],
+          "sheet": "Monthly ODS SALES KPI'S ",
+          "col": "R",
+          "rows": [
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21
+          ],
+          "row_ranges": "7-14,16-21",
+          "row_count": 14,
+          "pattern_id": "pf_0007",
+          "normalized_pattern": "=IF(ISERROR([C-6,R]/[C-8,R]),\"\",[C-6,R]/[C-8,R])",
+          "sample_formula": "=IF(ISERROR(L7/J7),\"\",L7/J7)"
+        }
+      ],
+      "new_eval_cells": 14,
+      "total_masked_cells": 14
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00803",
+            "rg_00804",
+            "rg_00805"
+          ],
+          "sheet": "Monthly ODS SALES KPI'S ",
+          "col": "J",
+          "rows": [
+            11,
+            16,
+            21
+          ],
+          "row_ranges": "11,16,21",
+          "row_count": 3,
+          "pattern_id": "pf_0006",
+          "normalized_pattern": "=[C,R-4]+[C,R-3]+[C,R-2]+[C,R-1]",
+          "sample_formula": "=J7+J8+J9+J10"
+        },
+        {
+          "region_ids": [
+            "rg_01441"
+          ],
+          "sheet": "Monthly ODS SALES KPI'S ",
+          "col": "J",
+          "rows": [
+            7,
+            8,
+            9,
+            10
+          ],
+          "row_ranges": "7-10",
+          "row_count": 4,
+          "pattern_id": "pf_0033",
+          "normalized_pattern": "='TEAMRED'![C-2,R+119]",
+          "sample_formula": "='Team Red'!H126"
+        },
+        {
+          "region_ids": [
+            "rg_01448"
+          ],
+          "sheet": "Monthly ODS SALES KPI'S ",
+          "col": "J",
+          "rows": [
+            12,
+            13,
+            14,
+            15
+          ],
+          "row_ranges": "12-15",
+          "row_count": 4,
+          "pattern_id": "pf_0034",
+          "normalized_pattern": "='TEAMGREEN'![C-2,R+114]",
+          "sample_formula": "='Team Green'!H126"
+        },
+        {
+          "region_ids": [
+            "rg_01455"
+          ],
+          "sheet": "Monthly ODS SALES KPI'S ",
+          "col": "J",
+          "rows": [
+            17,
+            18,
+            19,
+            20
+          ],
+          "row_ranges": "17-20",
+          "row_count": 4,
+          "pattern_id": "pf_0035",
+          "normalized_pattern": "='TEAMBLUE'![C-2,R+109]",
+          "sample_formula": "='Team Blue'!H126"
+        },
+        {
+          "region_ids": [
+            "rg_00809",
+            "rg_00810",
+            "rg_00811"
+          ],
+          "sheet": "Monthly ODS SALES KPI'S ",
+          "col": "L",
+          "rows": [
+            11,
+            16,
+            21
+          ],
+          "row_ranges": "11,16,21",
+          "row_count": 3,
+          "pattern_id": "pf_0006",
+          "normalized_pattern": "=[C,R-4]+[C,R-3]+[C,R-2]+[C,R-1]",
+          "sample_formula": "=L7+L8+L9+L10"
+        },
+        {
+          "region_ids": [
+            "rg_01443"
+          ],
+          "sheet": "Monthly ODS SALES KPI'S ",
+          "col": "L",
+          "rows": [
+            7,
+            8,
+            9,
+            10
+          ],
+          "row_ranges": "7-10",
+          "row_count": 4,
+          "pattern_id": "pf_0033",
+          "normalized_pattern": "='TEAMRED'![C-2,R+119]",
+          "sample_formula": "='Team Red'!J126"
+        },
+        {
+          "region_ids": [
+            "rg_01450"
+          ],
+          "sheet": "Monthly ODS SALES KPI'S ",
+          "col": "L",
+          "rows": [
+            12,
+            13,
+            14,
+            15
+          ],
+          "row_ranges": "12-15",
+          "row_count": 4,
+          "pattern_id": "pf_0034",
+          "normalized_pattern": "='TEAMGREEN'![C-2,R+114]",
+          "sample_formula": "='Team Green'!J126"
+        },
+        {
+          "region_ids": [
+            "rg_01457"
+          ],
+          "sheet": "Monthly ODS SALES KPI'S ",
+          "col": "L",
+          "rows": [
+            17,
+            18,
+            19,
+            20
+          ],
+          "row_ranges": "17-20",
+          "row_count": 4,
+          "pattern_id": "pf_0035",
+          "normalized_pattern": "='TEAMBLUE'![C-2,R+109]",
+          "sample_formula": "='Team Blue'!J126"
+        }
+      ],
+      "new_eval_cells": 30,
+      "total_masked_cells": 44
+    },
+    {
+      "layer_index": 3,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_01018"
+          ],
+          "sheet": "Team Blue",
+          "col": "H",
+          "rows": [
+            126,
+            127,
+            128,
+            129
+          ],
+          "row_ranges": "126-129",
+          "row_count": 4,
+          "pattern_id": "pf_0008",
+          "normalized_pattern": "=SUM([C,R-124],[C,R-119],[C,R-114],[C,R-109],[C,R-104],[C,R-98],[C,R-93],[C,R-88],[C,R-83],[C,R-78],[C,R-72],[C,R-67],[C,R-62],[C,R-57],[C,R-52],[C,R-46],[C,R-41],[C,R-36],[C,R-31],[C,R-26],[C,R-20],[C,R-15],[C,R-10])",
+          "sample_formula": "=SUM(H2,H7,H12,H17,H22,H28,H33,H38,H43,H48,H54,H59,H64,H69,H74,H80,H85,H90,H95,H100,H106,H111,H116)"
+        },
+        {
+          "region_ids": [
+            "rg_01020"
+          ],
+          "sheet": "Team Blue",
+          "col": "J",
+          "rows": [
+            126,
+            127,
+            128,
+            129
+          ],
+          "row_ranges": "126-129",
+          "row_count": 4,
+          "pattern_id": "pf_0008",
+          "normalized_pattern": "=SUM([C,R-124],[C,R-119],[C,R-114],[C,R-109],[C,R-104],[C,R-98],[C,R-93],[C,R-88],[C,R-83],[C,R-78],[C,R-72],[C,R-67],[C,R-62],[C,R-57],[C,R-52],[C,R-46],[C,R-41],[C,R-36],[C,R-31],[C,R-26],[C,R-20],[C,R-15],[C,R-10])",
+          "sample_formula": "=SUM(J2,J7,J12,J17,J22,J28,J33,J38,J43,J48,J54,J59,J64,J69,J74,J80,J85,J90,J95,J100,J106,J111,J116)"
+        },
+        {
+          "region_ids": [
+            "rg_01008"
+          ],
+          "sheet": "Team Green",
+          "col": "H",
+          "rows": [
+            126,
+            127,
+            128,
+            129
+          ],
+          "row_ranges": "126-129",
+          "row_count": 4,
+          "pattern_id": "pf_0008",
+          "normalized_pattern": "=SUM([C,R-124],[C,R-119],[C,R-114],[C,R-109],[C,R-104],[C,R-98],[C,R-93],[C,R-88],[C,R-83],[C,R-78],[C,R-72],[C,R-67],[C,R-62],[C,R-57],[C,R-52],[C,R-46],[C,R-41],[C,R-36],[C,R-31],[C,R-26],[C,R-20],[C,R-15],[C,R-10])",
+          "sample_formula": "=SUM(H2,H7,H12,H17,H22,H28,H33,H38,H43,H48,H54,H59,H64,H69,H74,H80,H85,H90,H95,H100,H106,H111,H116)"
+        },
+        {
+          "region_ids": [
+            "rg_01010"
+          ],
+          "sheet": "Team Green",
+          "col": "J",
+          "rows": [
+            126,
+            127,
+            128,
+            129
+          ],
+          "row_ranges": "126-129",
+          "row_count": 4,
+          "pattern_id": "pf_0008",
+          "normalized_pattern": "=SUM([C,R-124],[C,R-119],[C,R-114],[C,R-109],[C,R-104],[C,R-98],[C,R-93],[C,R-88],[C,R-83],[C,R-78],[C,R-72],[C,R-67],[C,R-62],[C,R-57],[C,R-52],[C,R-46],[C,R-41],[C,R-36],[C,R-31],[C,R-26],[C,R-20],[C,R-15],[C,R-10])",
+          "sample_formula": "=SUM(J2,J7,J12,J17,J22,J28,J33,J38,J43,J48,J54,J59,J64,J69,J74,J80,J85,J90,J95,J100,J106,J111,J116)"
+        },
+        {
+          "region_ids": [
+            "rg_00998"
+          ],
+          "sheet": "Team Red",
+          "col": "H",
+          "rows": [
+            126,
+            127,
+            128,
+            129
+          ],
+          "row_ranges": "126-129",
+          "row_count": 4,
+          "pattern_id": "pf_0008",
+          "normalized_pattern": "=SUM([C,R-124],[C,R-119],[C,R-114],[C,R-109],[C,R-104],[C,R-98],[C,R-93],[C,R-88],[C,R-83],[C,R-78],[C,R-72],[C,R-67],[C,R-62],[C,R-57],[C,R-52],[C,R-46],[C,R-41],[C,R-36],[C,R-31],[C,R-26],[C,R-20],[C,R-15],[C,R-10])",
+          "sample_formula": "=SUM(H2,H7,H12,H17,H22,H28,H33,H38,H43,H48,H54,H59,H64,H69,H74,H80,H85,H90,H95,H100,H106,H111,H116)"
+        },
+        {
+          "region_ids": [
+            "rg_01000"
+          ],
+          "sheet": "Team Red",
+          "col": "J",
+          "rows": [
+            126,
+            127,
+            128,
+            129
+          ],
+          "row_ranges": "126-129",
+          "row_count": 4,
+          "pattern_id": "pf_0008",
+          "normalized_pattern": "=SUM([C,R-124],[C,R-119],[C,R-114],[C,R-109],[C,R-104],[C,R-98],[C,R-93],[C,R-88],[C,R-83],[C,R-78],[C,R-72],[C,R-67],[C,R-62],[C,R-57],[C,R-52],[C,R-46],[C,R-41],[C,R-36],[C,R-31],[C,R-26],[C,R-20],[C,R-15],[C,R-10])",
+          "sample_formula": "=SUM(J2,J7,J12,J17,J22,J28,J33,J38,J43,J48,J54,J59,J64,J69,J74,J80,J85,J90,J95,J100,J106,J111,J116)"
+        }
+      ],
+      "new_eval_cells": 24,
+      "total_masked_cells": 68
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00986",
+    "sheet": "Monthly ODS SALES KPI'S ",
+    "col": "R",
+    "pattern_id": "pf_0007",
+    "row_count": 8,
+    "family_size": 14
+  }
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00587/mask_last.xlsx ADDED Viewed

Binary file (94.4 kB). View file

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00587/nl_task.json ADDED Viewed

	@@ -0,0 +1,26 @@

+{
+  "task_id": "cross_sheet__dag_dd271ceabc32",
+  "prompt_en": "The ODS SALES KPI STATS workbook is set up around Monthly ODS SALES KPI'S, with visible fields like Hrs/Sales, Sick Days, Calls Taken, Call Backs, Packs Out, Packs Back, Echoes Sent, and Echoes Back for the sales pipeline update. Please fill in the blank entries in the Col % 2 PB column on the Monthly ODS SALES KPI'S sheet, specifically R7:R14 and R16:R21. Some of the other blank KPI fields in the workbook support the monthly view, so make sure the related monthly figures are in place before finalizing this column. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "这份 ODS SALES KPI STATS 工作簿围绕 “Monthly ODS SALES KPI'S” 展开，里面能看到 Hrs/Sales、Sick Days、Calls Taken、Call Backs、Packs Out、Packs Back、Echoes Sent 和 Echoes Back 等销售管道更新相关字段。请在 “Monthly ODS SALES KPI'S” 工作表中补全 “Col % 2 PB” 列的空白项，位置是 R7:R14 和 R16:R21。工作簿里其他一些空白的 KPI 字段会影响月度视图，所以在最终填写这一列之前，请确保相关的月度数据也已经就位。请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt identifies the workbook context, sheet, target column, and exact ranges while avoiding formulas, answer values, and operational hints.",
+  "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": 2
+  },
+  "version": "v7",
+  "model": "gpt-5.5",
+  "elapsed": 14.4,
+  "attempt": 1
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00587/release_qc.json ADDED Viewed

	@@ -0,0 +1,58 @@

+{
+  "binary": true,
+  "binary_reason": "Well-designed: the mask is clean, all cells are real, the dependency chain is reconstructible from visible workbook structure, and GT formulas are consistent.",
+  "D1": {
+    "score": 5,
+    "reason": "All 68 contract cells are truly masked, there are no phantom cells and no extra masked cells outside the contract. The prerequisite masking is intentional chain-masking. Visible formulas provide structural clues but do not make the entire task trivially copyable because the solver must reconstruct cross-sheet references, monthly aggregation rows, and the final ratio dependency."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The layer-1 GT formulas are deterministic and consistent with the source workbook structure: each target R cell computes Packs Back divided by Collections for the same monthly row, guarded by IF(ISERROR(...),\"\",...). The listed cached values align with the corresponding L/J ratios."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL prompt clearly identifies the final target range R7:R14 and R16:R21 on the Monthly ODS SALES KPI'S sheet and names the target column. It also hints that other blank KPI fields support the monthly view. It is slightly under-specific because it does not explicitly name the Team Red/Green/Blue prerequisite sheets or the intermediate Collections/Packs Back ranges."
+  },
+  "D4": {
+    "score": 5,
+    "reason": "Using only mask_last.xlsx and the NL prompt, the task is hard but solvable. The target column header 'Col % 2 PB' sits beside visible KPI ratio columns, and visible adjacent formulas in Q, S, T, and U show the workbook's ratio-with-IFERROR pattern. R25 also gives a visible aggregate clue that Col % 2 PB is Packs Back divided by Collections. The Monthly sheet shows visible cross-sheet references in adjacent columns, allowing inference that J and L should pull Collections and Packs Back from Team Red/Green/Blue, with row totals at 11, 16, and 21. On each team sheet, the masked H/J formulas are inferable from same-row visible SUM formulas in neighboring columns using the same row-offset patterns. Thus the full chain is reconstructible without src.xlsx.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 4,
+    "reason": "The source workbook appears generally sound: sheet ranges are real, headers are meaningful, formulas are deterministic, and no circular or broken references are indicated. There are some spreadsheet-quality quirks such as inconsistent-looking SUM syntax and minor irregularities in some non-target formulas, but they do not appear to corrupt the relevant dependency chain or cached results."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The NL prompt sounds like a realistic workplace request: it references the KPI workbook, names the monthly view and sales-pipeline fields, asks for the specific blank column entries, and avoids benchmark jargon."
+  },
+  "total": 28,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality chain-masked cross-sheet task. The mask boundary is clean, GT is correct, and the task is challenging but solvable from visible workbook evidence and the prompt.",
+  "frontier_hardness": {
+    "score": 4,
+    "reason": "This is a hard task because it requires reconstructing a depth-3 chain across Monthly ODS SALES KPI'S and three team sheets, including masked intermediate monthly references and masked team-level SUM formulas. A frontier model would need to infer the formula patterns, sheet mappings, team totals, and final ratio logic simultaneously. There are no apparent hidden constants, but the multi-hop cross-sheet reconstruction is substantial.",
+    "fail_reason": "cross_sheet_multi_hop",
+    "is_valid_hardness": true
+  },
+  "_prompt_chars": 132591,
+  "_timing_load_workbooks": 1.26,
+  "_timing_context": 0.02,
+  "_timing_api": 62.73,
+  "local_difficulty": {
+    "difficulty_score": 84.4,
+    "difficulty": "hard",
+    "depth": 3,
+    "total_masked": 68,
+    "is_cross_sheet": true,
+    "unique_patterns": 11,
+    "avg_complexity": 25,
+    "cross_refs": 24,
+    "visible_exemplar_ratio": 0.176
+  },
+  "task_id": "cross_sheet__dag_dd271ceabc32",
+  "elapsed": 64.0,
+  "publish_decision": "YES",
+  "release_tier": "FRONTIER_HARD",
+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00587/src.xlsx ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:5033837dc446a40805235185f4bff6057b84d51672f7649e1abbd68fce8760b6
+size 115741

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00587/target_contract.json ADDED Viewed

	@@ -0,0 +1,203 @@

+{
+  "task_id": "cross_sheet__dag_dd271ceabc32",
+  "category": "cross_sheet",
+  "depth": 3,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "Monthly ODS SALES KPI'S ",
+        "column": "R",
+        "column_header": "Col % 2 PB",
+        "cell_range": "R7:R14, R16:R21",
+        "cell_count": 14,
+        "rows": [
+          7,
+          8,
+          9,
+          10,
+          11,
+          12,
+          13,
+          14,
+          16,
+          17,
+          18,
+          19,
+          20,
+          21
+        ],
+        "first_row_label": "Pav",
+        "last_row_label": "Team Blue"
+      }
+    ],
+    "cell_count": 14,
+    "formula_families": [
+      "conditional"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 3,
+      "regions": [
+        {
+          "sheet": "Team Blue",
+          "column": "H",
+          "column_header": "Collections",
+          "cell_range": "H126:H129",
+          "cell_count": 4,
+          "rows": [
+            126,
+            127,
+            128,
+            129
+          ],
+          "first_row_label": "Asad",
+          "last_row_label": "[Person_8]"
+        },
+        {
+          "sheet": "Team Blue",
+          "column": "J",
+          "column_header": "Packs Back",
+          "cell_range": "J126:J129",
+          "cell_count": 4,
+          "rows": [
+            126,
+            127,
+            128,
+            129
+          ],
+          "first_row_label": "Asad",
+          "last_row_label": "[Person_8]"
+        },
+        {
+          "sheet": "Team Green",
+          "column": "H",
+          "column_header": "Collections",
+          "cell_range": "H126:H129",
+          "cell_count": 4,
+          "rows": [
+            126,
+            127,
+            128,
+            129
+          ],
+          "first_row_label": "Lucas",
+          "last_row_label": "[Person_7]"
+        },
+        {
+          "sheet": "Team Green",
+          "column": "J",
+          "column_header": "Packs Back",
+          "cell_range": "J126:J129",
+          "cell_count": 4,
+          "rows": [
+            126,
+            127,
+            128,
+            129
+          ],
+          "first_row_label": "Lucas",
+          "last_row_label": "[Person_7]"
+        },
+        {
+          "sheet": "Team Red",
+          "column": "H",
+          "column_header": "Collections",
+          "cell_range": "H126:H129",
+          "cell_count": 4,
+          "rows": [
+            126,
+            127,
+            128,
+            129
+          ],
+          "first_row_label": "Pav",
+          "last_row_label": "[Person_5]"
+        },
+        {
+          "sheet": "Team Red",
+          "column": "J",
+          "column_header": "Packs Back",
+          "cell_range": "J126:J129",
+          "cell_count": 4,
+          "rows": [
+            126,
+            127,
+            128,
+            129
+          ],
+          "first_row_label": "Pav",
+          "last_row_label": "[Person_5]"
+        }
+      ],
+      "cell_count": 24
+    },
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Monthly ODS SALES KPI'S ",
+          "column": "J",
+          "column_header": "Collections",
+          "cell_range": "J7:J21",
+          "cell_count": 15,
+          "rows": [
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21
+          ],
+          "first_row_label": "Pav",
+          "last_row_label": "Team Blue"
+        },
+        {
+          "sheet": "Monthly ODS SALES KPI'S ",
+          "column": "L",
+          "column_header": "Packs Back",
+          "cell_range": "L7:L21",
+          "cell_count": 15,
+          "rows": [
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21
+          ],
+          "first_row_label": "Pav",
+          "last_row_label": "Team Blue"
+        }
+      ],
+      "cell_count": 30
+    }
+  ],
+  "total_prerequisite_cells": 54,
+  "total_masked_cells": 68,
+  "ratio_total_vs_final": 4.9,
+  "sheets_involved": [
+    "Monthly ODS SALES KPI'S ",
+    "Team Blue",
+    "Team Green",
+    "Team Red"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00587/task_meta.json ADDED Viewed

	@@ -0,0 +1,134 @@

+{
+  "fcb_id": "FCB-00587",
+  "task_id": "cross_sheet__dag_dd271ceabc32",
+  "tier": "T1_FRONTIER",
+  "category": "cross_sheet",
+  "depth": 3,
+  "total_masked": 68,
+  "is_cross_sheet": true,
+  "prompt_en": "The ODS SALES KPI STATS workbook is set up around Monthly ODS SALES KPI'S, with visible fields like Hrs/Sales, Sick Days, Calls Taken, Call Backs, Packs Out, Packs Back, Echoes Sent, and Echoes Back for the sales pipeline update. Please fill in the blank entries in the Col % 2 PB column on the Monthly ODS SALES KPI'S sheet, specifically R7:R14 and R16:R21. Some of the other blank KPI fields in the workbook support the monthly view, so make sure the related monthly figures are in place before finalizing this column. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "这份 ODS SALES KPI STATS 工作簿围绕 “Monthly ODS SALES KPI'S” 展开，里面能看到 Hrs/Sales、Sick Days、Calls Taken、Call Backs、Packs Out、Packs Back、Echoes Sent 和 Echoes Back 等销售管道更新相关字段。请在 “Monthly ODS SALES KPI'S” 工作表中补全 “Col % 2 PB” 列的空白项，位置是 R7:R14 和 R16:R21。工作簿里其他一些空白的 KPI 字段会影响月度视图，所以在最终填写这一列之前，请确保相关的月度数据也已经就位。请将完成后的工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 28,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 4,
+    "D4": 5,
+    "D5": 4,
+    "D6": 5,
+    "frontier_hardness": 4,
+    "local_difficulty": 84.4
+  },
+  "source_file_id": "101676d1299762343-forumla-14th-feb-march-sales-agent-stats",
+  "inferred_domain": "sales",
+  "domain_confidence": 0.25,
+  "sheet_profiles": [
+    {
+      "name": "Monthly ODS SALES KPI'S ",
+      "used_range": "A2:U43",
+      "row_count": 42,
+      "col_count": 21,
+      "has_header": false,
+      "title_hint": "Monthly ODS SALES KPI'S",
+      "header_info": null
+    },
+    {
+      "name": "Weekly Breakdowns",
+      "used_range": "A1:R144",
+      "row_count": 144,
+      "col_count": 18,
+      "has_header": false,
+      "title_hint": "Weekly Breakdowns",
+      "header_info": null
+    },
+    {
+      "name": "Team Red",
+      "used_range": "A1:Q146",
+      "row_count": 146,
+      "col_count": 17,
+      "has_header": true,
+      "title_hint": "Team Red",
+      "header_info": {
+        "sheet": "Team Red",
+        "header_row": 1,
+        "headers": {
+          "C": "[Person_2]",
+          "D": "Calls Taken",
+          "E": "Call Backs",
+          "F": "Packs Out",
+          "G": "FMP Out",
+          "H": "Collections",
+          "I": "IVA's",
+          "J": "Packs Back",
+          "K": "Echoes Sent",
+          "L": "Echoes Back",
+          "M": "PO to Col %",
+          "N": "Col % 2 PB",
+          "O": "Packs Out 2 PB",
+          "P": "Echo Conv",
+          "Q": "Leads 2 Sales"
+        }
+      }
+    },
+    {
+      "name": "Team Green",
+      "used_range": "A1:Q130",
+      "row_count": 130,
+      "col_count": 17,
+      "has_header": true,
+      "title_hint": "Team Green",
+      "header_info": {
+        "sheet": "Team Green",
+        "header_row": 1,
+        "headers": {
+          "C": "[Person_2]",
+          "D": "Calls Taken",
+          "E": "Call Backs",
+          "F": "Packs Out",
+          "G": "FMP Out",
+          "H": "Collections",
+          "I": "IVA's",
+          "J": "Packs Back",
+          "K": "Echoes Sent",
+          "L": "Echoes Back",
+          "M": "PO to Col %",
+          "N": "Col % 2 PB",
+          "O": "Packs Out 2 PB",
+          "P": "Echo Conv",
+          "Q": "Leads 2 Sales"
+        }
+      }
+    },
+    {
+      "name": "Team Blue",
+      "used_range": "A1:R143",
+      "row_count": 143,
+      "col_count": 18,
+      "has_header": true,
+      "title_hint": "Team Blue",
+      "header_info": {
+        "sheet": "Team Blue",
+        "header_row": 1,
+        "headers": {
+          "C": "[Person_2]",
+          "D": "Calls Taken",
+          "E": "Call Backs",
+          "F": "Packs Out",
+          "G": "FMP Out",
+          "H": "Collections",
+          "I": "IVA's",
+          "J": "Packs Back",
+          "K": "FMP In",
+          "L": "Echoes Sent",
+          "M": "Echoes Back",
+          "N": "PO to Col %",
+          "O": "Col % 2 PB",
+          "P": "Packs Out 2 PB",
+          "Q": "Echo Conv",
+          "R": "Leads 2 Sales"
+        }
+      }
+    }
+  ]
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00605/layers.json ADDED Viewed

	@@ -0,0 +1,609 @@

+{
+  "dag_id": "dag_67f6c83cb12d",
+  "file_id": "540401d1506681262-counting-past-occurrence-given-a-classification-pack",
+  "category": "single_sheet",
+  "surface_category": "single_sheet",
+  "effective_category": "single_sheet",
+  "depth": 3,
+  "quality": {
+    "chain_error_cells": 0,
+    "chain_external_cells": 0,
+    "is_clean": true
+  },
+  "layers": [
+    {
+      "layer_index": 1,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00012"
+          ],
+          "sheet": "Summary",
+          "col": "L",
+          "rows": [
+            3,
+            4,
+            5,
+            6,
+            7
+          ],
+          "row_ranges": "3-7",
+          "row_count": 5,
+          "pattern_id": "pf_0002",
+          "normalized_pattern": "=[C-1,R]/[C-10,R]",
+          "sample_formula": "=K3/B3"
+        }
+      ],
+      "new_eval_cells": 5,
+      "total_masked_cells": 5
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00002"
+          ],
+          "sheet": "Summary",
+          "col": "B",
+          "rows": [
+            7
+          ],
+          "row_ranges": "7",
+          "row_count": 1,
+          "pattern_id": "pf_0001",
+          "normalized_pattern": "=SUM([C,R-4]:[C,R-1])",
+          "sample_formula": "=SUM(B3:B6)"
+        },
+        {
+          "region_ids": [
+            "rg_00013"
+          ],
+          "sheet": "Summary",
+          "col": "B",
+          "rows": [
+            3,
+            4,
+            5,
+            6
+          ],
+          "row_ranges": "3-6",
+          "row_count": 4,
+          "pattern_id": "pf_0003",
+          "normalized_pattern": "=COUNTIF(DATA!$B:$B,[C-1,R])",
+          "sample_formula": "=COUNTIF(Data!$B:$B,A3)"
+        },
+        {
+          "region_ids": [
+            "rg_00000"
+          ],
+          "sheet": "Summary",
+          "col": "K",
+          "rows": [
+            3,
+            4,
+            5,
+            6
+          ],
+          "row_ranges": "3-6",
+          "row_count": 4,
+          "pattern_id": "pf_0000",
+          "normalized_pattern": "=[C-8,R]*5+[C-7,R]*20+[C-6,R]*100+[C-5,R]*400+[C-4,R]*50+[C-3,R]*100+[C-2,R]*400+[C-1,R]*1600",
+          "sample_formula": "=C3*5+D3*20+E3*100+F3*400+G3*50+H3*100+I3*400+J3*1600"
+        },
+        {
+          "region_ids": [
+            "rg_00011"
+          ],
+          "sheet": "Summary",
+          "col": "K",
+          "rows": [
+            7
+          ],
+          "row_ranges": "7",
+          "row_count": 1,
+          "pattern_id": "pf_0001",
+          "normalized_pattern": "=SUM([C,R-4]:[C,R-1])",
+          "sample_formula": "=SUM(K3:K6)"
+        }
+      ],
+      "new_eval_cells": 10,
+      "total_masked_cells": 15
+    },
+    {
+      "layer_index": 3,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00014"
+          ],
+          "sheet": "Summary",
+          "col": "C",
+          "rows": [
+            3
+          ],
+          "row_ranges": "3",
+          "row_count": 1,
+          "pattern_id": "pf_0004",
+          "normalized_pattern": "=SUMIFS(DATA!C:C,DATA!B:B,SUMMARY![$A,$3])",
+          "sample_formula": "=SUMIFS(Data!C:C,Data!B:B,Summary!$A$3)"
+        },
+        {
+          "region_ids": [
+            "rg_00022"
+          ],
+          "sheet": "Summary",
+          "col": "C",
+          "rows": [
+            4
+          ],
+          "row_ranges": "4",
+          "row_count": 1,
+          "pattern_id": "pf_0012",
+          "normalized_pattern": "=SUMIFS(DATA!C:C,DATA!$B:$B,SUMMARY![$A,$4])",
+          "sample_formula": "=SUMIFS(Data!C:C,Data!$B:$B,Summary!$A$4)"
+        },
+        {
+          "region_ids": [
+            "rg_00030"
+          ],
+          "sheet": "Summary",
+          "col": "C",
+          "rows": [
+            5
+          ],
+          "row_ranges": "5",
+          "row_count": 1,
+          "pattern_id": "pf_0020",
+          "normalized_pattern": "=SUMIFS(DATA!C:C,DATA!$B:$B,SUMMARY![$A,$5])",
+          "sample_formula": "=SUMIFS(Data!C:C,Data!$B:$B,Summary!$A$5)"
+        },
+        {
+          "region_ids": [
+            "rg_00038"
+          ],
+          "sheet": "Summary",
+          "col": "C",
+          "rows": [
+            6
+          ],
+          "row_ranges": "6",
+          "row_count": 1,
+          "pattern_id": "pf_0028",
+          "normalized_pattern": "=SUMIFS(DATA!C:C,DATA!$B:$B,SUMMARY![$A,$6])",
+          "sample_formula": "=SUMIFS(Data!C:C,Data!$B:$B,Summary!$A$6)"
+        },
+        {
+          "region_ids": [
+            "rg_00015"
+          ],
+          "sheet": "Summary",
+          "col": "D",
+          "rows": [
+            3
+          ],
+          "row_ranges": "3",
+          "row_count": 1,
+          "pattern_id": "pf_0005",
+          "normalized_pattern": "=SUMIFS(DATA!D:D,DATA!$B:$B,SUMMARY![$A,$3])",
+          "sample_formula": "=SUMIFS(Data!D:D,Data!$B:$B,Summary!$A$3)"
+        },
+        {
+          "region_ids": [
+            "rg_00023"
+          ],
+          "sheet": "Summary",
+          "col": "D",
+          "rows": [
+            4
+          ],
+          "row_ranges": "4",
+          "row_count": 1,
+          "pattern_id": "pf_0013",
+          "normalized_pattern": "=SUMIFS(DATA!D:D,DATA!$B:$B,SUMMARY![$A,$4])",
+          "sample_formula": "=SUMIFS(Data!D:D,Data!$B:$B,Summary!$A$4)"
+        },
+        {
+          "region_ids": [
+            "rg_00031"
+          ],
+          "sheet": "Summary",
+          "col": "D",
+          "rows": [
+            5
+          ],
+          "row_ranges": "5",
+          "row_count": 1,
+          "pattern_id": "pf_0021",
+          "normalized_pattern": "=SUMIFS(DATA!D:D,DATA!$B:$B,SUMMARY![$A,$5])",
+          "sample_formula": "=SUMIFS(Data!D:D,Data!$B:$B,Summary!$A$5)"
+        },
+        {
+          "region_ids": [
+            "rg_00039"
+          ],
+          "sheet": "Summary",
+          "col": "D",
+          "rows": [
+            6
+          ],
+          "row_ranges": "6",
+          "row_count": 1,
+          "pattern_id": "pf_0029",
+          "normalized_pattern": "=SUMIFS(DATA!D:D,DATA!$B:$B,SUMMARY![$A,$6])",
+          "sample_formula": "=SUMIFS(Data!D:D,Data!$B:$B,Summary!$A$6)"
+        },
+        {
+          "region_ids": [
+            "rg_00016"
+          ],
+          "sheet": "Summary",
+          "col": "E",
+          "rows": [
+            3
+          ],
+          "row_ranges": "3",
+          "row_count": 1,
+          "pattern_id": "pf_0006",
+          "normalized_pattern": "=SUMIFS(DATA!E:E,DATA!$B:$B,SUMMARY![$A,$3])",
+          "sample_formula": "=SUMIFS(Data!E:E,Data!$B:$B,Summary!$A$3)"
+        },
+        {
+          "region_ids": [
+            "rg_00024"
+          ],
+          "sheet": "Summary",
+          "col": "E",
+          "rows": [
+            4
+          ],
+          "row_ranges": "4",
+          "row_count": 1,
+          "pattern_id": "pf_0014",
+          "normalized_pattern": "=SUMIFS(DATA!E:E,DATA!$B:$B,SUMMARY![$A,$4])",
+          "sample_formula": "=SUMIFS(Data!E:E,Data!$B:$B,Summary!$A$4)"
+        },
+        {
+          "region_ids": [
+            "rg_00032"
+          ],
+          "sheet": "Summary",
+          "col": "E",
+          "rows": [
+            5
+          ],
+          "row_ranges": "5",
+          "row_count": 1,
+          "pattern_id": "pf_0022",
+          "normalized_pattern": "=SUMIFS(DATA!E:E,DATA!$B:$B,SUMMARY![$A,$5])",
+          "sample_formula": "=SUMIFS(Data!E:E,Data!$B:$B,Summary!$A$5)"
+        },
+        {
+          "region_ids": [
+            "rg_00040"
+          ],
+          "sheet": "Summary",
+          "col": "E",
+          "rows": [
+            6
+          ],
+          "row_ranges": "6",
+          "row_count": 1,
+          "pattern_id": "pf_0030",
+          "normalized_pattern": "=SUMIFS(DATA!E:E,DATA!$B:$B,SUMMARY![$A,$6])",
+          "sample_formula": "=SUMIFS(Data!E:E,Data!$B:$B,Summary!$A$6)"
+        },
+        {
+          "region_ids": [
+            "rg_00017"
+          ],
+          "sheet": "Summary",
+          "col": "F",
+          "rows": [
+            3
+          ],
+          "row_ranges": "3",
+          "row_count": 1,
+          "pattern_id": "pf_0007",
+          "normalized_pattern": "=SUMIFS(DATA!F:F,DATA!$B:$B,SUMMARY![$A,$3])",
+          "sample_formula": "=SUMIFS(Data!F:F,Data!$B:$B,Summary!$A$3)"
+        },
+        {
+          "region_ids": [
+            "rg_00025"
+          ],
+          "sheet": "Summary",
+          "col": "F",
+          "rows": [
+            4
+          ],
+          "row_ranges": "4",
+          "row_count": 1,
+          "pattern_id": "pf_0015",
+          "normalized_pattern": "=SUMIFS(DATA!F:F,DATA!$B:$B,SUMMARY![$A,$4])",
+          "sample_formula": "=SUMIFS(Data!F:F,Data!$B:$B,Summary!$A$4)"
+        },
+        {
+          "region_ids": [
+            "rg_00033"
+          ],
+          "sheet": "Summary",
+          "col": "F",
+          "rows": [
+            5
+          ],
+          "row_ranges": "5",
+          "row_count": 1,
+          "pattern_id": "pf_0023",
+          "normalized_pattern": "=SUMIFS(DATA!F:F,DATA!$B:$B,SUMMARY![$A,$5])",
+          "sample_formula": "=SUMIFS(Data!F:F,Data!$B:$B,Summary!$A$5)"
+        },
+        {
+          "region_ids": [
+            "rg_00041"
+          ],
+          "sheet": "Summary",
+          "col": "F",
+          "rows": [
+            6
+          ],
+          "row_ranges": "6",
+          "row_count": 1,
+          "pattern_id": "pf_0031",
+          "normalized_pattern": "=SUMIFS(DATA!F:F,DATA!$B:$B,SUMMARY![$A,$6])",
+          "sample_formula": "=SUMIFS(Data!F:F,Data!$B:$B,Summary!$A$6)"
+        },
+        {
+          "region_ids": [
+            "rg_00018"
+          ],
+          "sheet": "Summary",
+          "col": "G",
+          "rows": [
+            3
+          ],
+          "row_ranges": "3",
+          "row_count": 1,
+          "pattern_id": "pf_0008",
+          "normalized_pattern": "=SUMIFS(DATA!G:G,DATA!$B:$B,SUMMARY![$A,$3])",
+          "sample_formula": "=SUMIFS(Data!G:G,Data!$B:$B,Summary!$A$3)"
+        },
+        {
+          "region_ids": [
+            "rg_00026"
+          ],
+          "sheet": "Summary",
+          "col": "G",
+          "rows": [
+            4
+          ],
+          "row_ranges": "4",
+          "row_count": 1,
+          "pattern_id": "pf_0016",
+          "normalized_pattern": "=SUMIFS(DATA!G:G,DATA!$B:$B,SUMMARY![$A,$4])",
+          "sample_formula": "=SUMIFS(Data!G:G,Data!$B:$B,Summary!$A$4)"
+        },
+        {
+          "region_ids": [
+            "rg_00034"
+          ],
+          "sheet": "Summary",
+          "col": "G",
+          "rows": [
+            5
+          ],
+          "row_ranges": "5",
+          "row_count": 1,
+          "pattern_id": "pf_0024",
+          "normalized_pattern": "=SUMIFS(DATA!G:G,DATA!$B:$B,SUMMARY![$A,$5])",
+          "sample_formula": "=SUMIFS(Data!G:G,Data!$B:$B,Summary!$A$5)"
+        },
+        {
+          "region_ids": [
+            "rg_00042"
+          ],
+          "sheet": "Summary",
+          "col": "G",
+          "rows": [
+            6
+          ],
+          "row_ranges": "6",
+          "row_count": 1,
+          "pattern_id": "pf_0032",
+          "normalized_pattern": "=SUMIFS(DATA!G:G,DATA!$B:$B,SUMMARY![$A,$6])",
+          "sample_formula": "=SUMIFS(Data!G:G,Data!$B:$B,Summary!$A$6)"
+        },
+        {
+          "region_ids": [
+            "rg_00019"
+          ],
+          "sheet": "Summary",
+          "col": "H",
+          "rows": [
+            3
+          ],
+          "row_ranges": "3",
+          "row_count": 1,
+          "pattern_id": "pf_0009",
+          "normalized_pattern": "=SUMIFS(DATA!H:H,DATA!$B:$B,SUMMARY![$A,$3])",
+          "sample_formula": "=SUMIFS(Data!H:H,Data!$B:$B,Summary!$A$3)"
+        },
+        {
+          "region_ids": [
+            "rg_00027"
+          ],
+          "sheet": "Summary",
+          "col": "H",
+          "rows": [
+            4
+          ],
+          "row_ranges": "4",
+          "row_count": 1,
+          "pattern_id": "pf_0017",
+          "normalized_pattern": "=SUMIFS(DATA!H:H,DATA!$B:$B,SUMMARY![$A,$4])",
+          "sample_formula": "=SUMIFS(Data!H:H,Data!$B:$B,Summary!$A$4)"
+        },
+        {
+          "region_ids": [
+            "rg_00035"
+          ],
+          "sheet": "Summary",
+          "col": "H",
+          "rows": [
+            5
+          ],
+          "row_ranges": "5",
+          "row_count": 1,
+          "pattern_id": "pf_0025",
+          "normalized_pattern": "=SUMIFS(DATA!H:H,DATA!$B:$B,SUMMARY![$A,$5])",
+          "sample_formula": "=SUMIFS(Data!H:H,Data!$B:$B,Summary!$A$5)"
+        },
+        {
+          "region_ids": [
+            "rg_00043"
+          ],
+          "sheet": "Summary",
+          "col": "H",
+          "rows": [
+            6
+          ],
+          "row_ranges": "6",
+          "row_count": 1,
+          "pattern_id": "pf_0033",
+          "normalized_pattern": "=SUMIFS(DATA!H:H,DATA!$B:$B,SUMMARY![$A,$6])",
+          "sample_formula": "=SUMIFS(Data!H:H,Data!$B:$B,Summary!$A$6)"
+        },
+        {
+          "region_ids": [
+            "rg_00020"
+          ],
+          "sheet": "Summary",
+          "col": "I",
+          "rows": [
+            3
+          ],
+          "row_ranges": "3",
+          "row_count": 1,
+          "pattern_id": "pf_0010",
+          "normalized_pattern": "=SUMIFS(DATA!I:I,DATA!$B:$B,SUMMARY![$A,$3])",
+          "sample_formula": "=SUMIFS(Data!I:I,Data!$B:$B,Summary!$A$3)"
+        },
+        {
+          "region_ids": [
+            "rg_00028"
+          ],
+          "sheet": "Summary",
+          "col": "I",
+          "rows": [
+            4
+          ],
+          "row_ranges": "4",
+          "row_count": 1,
+          "pattern_id": "pf_0018",
+          "normalized_pattern": "=SUMIFS(DATA!I:I,DATA!$B:$B,SUMMARY![$A,$4])",
+          "sample_formula": "=SUMIFS(Data!I:I,Data!$B:$B,Summary!$A$4)"
+        },
+        {
+          "region_ids": [
+            "rg_00036"
+          ],
+          "sheet": "Summary",
+          "col": "I",
+          "rows": [
+            5
+          ],
+          "row_ranges": "5",
+          "row_count": 1,
+          "pattern_id": "pf_0026",
+          "normalized_pattern": "=SUMIFS(DATA!I:I,DATA!$B:$B,SUMMARY![$A,$5])",
+          "sample_formula": "=SUMIFS(Data!I:I,Data!$B:$B,Summary!$A$5)"
+        },
+        {
+          "region_ids": [
+            "rg_00044"
+          ],
+          "sheet": "Summary",
+          "col": "I",
+          "rows": [
+            6
+          ],
+          "row_ranges": "6",
+          "row_count": 1,
+          "pattern_id": "pf_0034",
+          "normalized_pattern": "=SUMIFS(DATA!I:I,DATA!$B:$B,SUMMARY![$A,$6])",
+          "sample_formula": "=SUMIFS(Data!I:I,Data!$B:$B,Summary!$A$6)"
+        },
+        {
+          "region_ids": [
+            "rg_00021"
+          ],
+          "sheet": "Summary",
+          "col": "J",
+          "rows": [
+            3
+          ],
+          "row_ranges": "3",
+          "row_count": 1,
+          "pattern_id": "pf_0011",
+          "normalized_pattern": "=SUMIFS(DATA!J:J,DATA!$B:$B,SUMMARY![$A,$3])",
+          "sample_formula": "=SUMIFS(Data!J:J,Data!$B:$B,Summary!$A$3)"
+        },
+        {
+          "region_ids": [
+            "rg_00029"
+          ],
+          "sheet": "Summary",
+          "col": "J",
+          "rows": [
+            4
+          ],
+          "row_ranges": "4",
+          "row_count": 1,
+          "pattern_id": "pf_0019",
+          "normalized_pattern": "=SUMIFS(DATA!J:J,DATA!$B:$B,SUMMARY![$A,$4])",
+          "sample_formula": "=SUMIFS(Data!J:J,Data!$B:$B,Summary!$A$4)"
+        },
+        {
+          "region_ids": [
+            "rg_00037"
+          ],
+          "sheet": "Summary",
+          "col": "J",
+          "rows": [
+            5
+          ],
+          "row_ranges": "5",
+          "row_count": 1,
+          "pattern_id": "pf_0027",
+          "normalized_pattern": "=SUMIFS(DATA!J:J,DATA!$B:$B,SUMMARY![$A,$5])",
+          "sample_formula": "=SUMIFS(Data!J:J,Data!$B:$B,Summary!$A$5)"
+        },
+        {
+          "region_ids": [
+            "rg_00045"
+          ],
+          "sheet": "Summary",
+          "col": "J",
+          "rows": [
+            6
+          ],
+          "row_ranges": "6",
+          "row_count": 1,
+          "pattern_id": "pf_0035",
+          "normalized_pattern": "=SUMIFS(DATA!J:J,DATA!$B:$B,SUMMARY![$A,$6])",
+          "sample_formula": "=SUMIFS(Data!J:J,Data!$B:$B,Summary!$A$6)"
+        }
+      ],
+      "new_eval_cells": 32,
+      "total_masked_cells": 47
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00012",
+    "sheet": "Summary",
+    "col": "L",
+    "pattern_id": "pf_0002",
+    "row_count": 5,
+    "family_size": 5
+  }
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00605/mask_last.xlsx ADDED Viewed

Binary file (18.8 kB). View file

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00605/nl_task.json ADDED Viewed

	@@ -0,0 +1,26 @@

+{
+  "task_id": "single_sheet__dag_67f6c83cb12d",
+  "prompt_en": "The Summary sheet is a data-analysis summary table with headers such as Expansion, Packs, Leg, GC, GR, GE, Type, GL, Net D, Classic, MSG, UNG, and D/P. Most of the table is already populated, but the D/P column still has blanks that need to be completed for rows 3 through 7, in range L3:L7. Some of the other blank columns on the sheet feed into these final D/P entries, so make sure the related table values are in place before finishing that column. Please save the completed workbook as an .xlsx file.",
+  "prompt_cn": "Summary 工作表是一张数据分析汇总表，表头包括 Expansion、Packs、Leg、GC、GR、GE、Type、GL、Net D、Classic、MSG、UNG 和 D/P 等。表格的大部分内容已经填写好了，但 D/P 列第 3 到第 7 行仍有空白需要补齐，也就是 L3:L7。工作表中其他一些空白列会影响这些最终的 D/P 条目，所以请先确保相关表格值补齐后再完成这一列。请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt is minimal and context-focused, identifies the sheet, relevant headers, and target range L3:L7, and mentions prerequisite blanks naturally without describing any calculation method or giving formula hints.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 3,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
+      "operation_words": 0,
+      "cell_range_density": 3,
+      "step_by_step": 0,
+      "column_operation_mapping": 0,
+      "formula_pattern_hints": 0
+    },
+    "operation_words_found": [],
+    "cell_ranges_found": 1
+  },
+  "version": "v7",
+  "model": "gpt-5.5",
+  "elapsed": 23.6,
+  "attempt": 1
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00605/src.xlsx ADDED Viewed

Binary file (21.4 kB). View file

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00605/task_meta.json ADDED Viewed

	@@ -0,0 +1,79 @@

+{
+  "fcb_id": "FCB-00605",
+  "task_id": "single_sheet__dag_67f6c83cb12d",
+  "tier": "T1_FRONTIER",
+  "category": "single_sheet",
+  "depth": 3,
+  "total_masked": 47,
+  "is_cross_sheet": false,
+  "prompt_en": "The Summary sheet is a data-analysis summary table with headers such as Expansion, Packs, Leg, GC, GR, GE, Type, GL, Net D, Classic, MSG, UNG, and D/P. Most of the table is already populated, but the D/P column still has blanks that need to be completed for rows 3 through 7, in range L3:L7. Some of the other blank columns on the sheet feed into these final D/P entries, so make sure the related table values are in place before finishing that column. Please save the completed workbook as an .xlsx file.",
+  "prompt_cn": "Summary 工作表是一张数据分析汇总表，表头包括 Expansion、Packs、Leg、GC、GR、GE、Type、GL、Net D、Classic、MSG、UNG 和 D/P 等。表格的大部分内容已经填写好了，但 D/P 列第 3 到第 7 行仍有空白需要补齐，也就是 L3:L7。工作表中其他一些空白列会影响这些最终的 D/P 条目，所以请先确保相关表格值补齐后再完成这一列。请将完成后的工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 28,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 4,
+    "D4": 4,
+    "D5": 5,
+    "D6": 5,
+    "frontier_hardness": 4,
+    "local_difficulty": 73.4
+  },
+  "source_file_id": "540401d1506681262-counting-past-occurrence-given-a-classification-pack",
+  "inferred_domain": "data_analysis",
+  "domain_confidence": 0.25,
+  "sheet_profiles": [
+    {
+      "name": "Summary",
+      "used_range": "A2:N20",
+      "row_count": 19,
+      "col_count": 14,
+      "has_header": true,
+      "title_hint": "Summary",
+      "header_info": {
+        "sheet": "Summary",
+        "header_row": 2,
+        "headers": {
+          "A": "Expansion",
+          "B": "Packs",
+          "C": "C",
+          "D": "R",
+          "E": "E",
+          "F": "Leg",
+          "G": "GC",
+          "H": "GR",
+          "I": "GE",
+          "J": "GL",
+          "K": "Net D",
+          "L": "D/P"
+        }
+      }
+    },
+    {
+      "name": "Data",
+      "used_range": "A1:K190",
+      "row_count": 190,
+      "col_count": 11,
+      "has_header": true,
+      "title_hint": "Data",
+      "header_info": {
+        "sheet": "Data",
+        "header_row": 1,
+        "headers": {
+          "A": "#",
+          "B": "Type",
+          "C": "C",
+          "D": "R",
+          "E": "E",
+          "F": "Leg",
+          "G": "GC",
+          "H": "GR",
+          "I": "GE",
+          "J": "GL",
+          "K": "Net D"
+        }
+      }
+    }
+  ]
+}