Datasets:

anonymity11
/

FormulaCascade_Benchmark

@@ -235,3 +235,7 @@ FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08340/src.xlsx filter
 FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08340/mask_last.xlsx filter=lfs diff=lfs merge=lfs -text
 FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08362/src.xlsx filter=lfs diff=lfs merge=lfs -text
 FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08362/mask_last.xlsx filter=lfs diff=lfs merge=lfs -text

 FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08340/mask_last.xlsx filter=lfs diff=lfs merge=lfs -text
 FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08362/src.xlsx filter=lfs diff=lfs merge=lfs -text
 FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08362/mask_last.xlsx filter=lfs diff=lfs merge=lfs -text
+FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08689/src.xlsx filter=lfs diff=lfs merge=lfs -text
+FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08689/mask_last.xlsx filter=lfs diff=lfs merge=lfs -text
+FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08749/src.xlsx filter=lfs diff=lfs merge=lfs -text
+FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08749/mask_last.xlsx filter=lfs diff=lfs merge=lfs -text

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08496/audit.json ADDED Viewed

	@@ -0,0 +1,528 @@

+{
+  "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 63 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=7978B, src=13801B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=3.0 (total=187, final=63)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "11 unique values across 187 cells [WARN: low_discrimination layer_1_ground_truth: 54/63=86%; layer_2_ground_truth: 106/124=85%]"
+        },
+        {
+          "check": "tail_artifact",
+          "pass": true,
+          "detail": "0 bad values"
+        },
+        {
+          "check": "unrecoverable_leaf",
+          "pass": true,
+          "detail": "clean",
+          "hidden_const_cells": []
+        },
+        {
+          "check": "adjacent_column_leak",
+          "pass": true,
+          "detail": "leaked: Sheet1!G→H(53/63), Sheet1!H→G(53/62)"
+        },
+        {
+          "check": "header_name_accuracy",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "duplicate_lookup_tie_break",
+          "pass": true,
+          "detail": "no lookup formulas"
+        },
+        {
+          "check": "src_chain_integrity",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean",
+          "sub_checks": {
+            "error_cells": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "external_refs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "volatile_funcs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "missing_sheets": {
+              "pass": true,
+              "count": 0,
+              "sheets": []
+            },
+            "circular_refs": {
+              "pass": true,
+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
+        }
+      ]
+    },
+    "post_nl_validate": {
+      "validate_label": "CLEAN",
+      "validate_pass": true,
+      "hard_fails": 0,
+      "soft_warns": 0,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": true,
+          "detail": "contract=3, prompt=1, missing=0",
+          "missing_ranges": [],
+          "severity": "OK"
+        },
+        {
+          "check": "cell_count_match",
+          "pass": true,
+          "detail": "no explicit total found; skipping (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "step_count_match",
+          "pass": true,
+          "detail": "contract=1, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": true,
+          "detail": "contract=['Sheet1'], missing=[]",
+          "severity": "OK"
+        },
+        {
+          "check": "no_formula_leak",
+          "pass": true,
+          "detail": "0 formula leaks",
+          "severity": "OK"
+        },
+        {
+          "check": "no_value_leak",
+          "pass": true,
+          "detail": "0 value leaks out of 63 GT cells",
+          "severity": "OK"
+        },
+        {
+          "check": "final_target_first",
+          "pass": true,
+          "detail": "no explicit final target marker (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "output_format",
+          "pass": true,
+          "detail": "output format found",
+          "severity": "OK"
+        },
+        {
+          "check": "header_in_prompt",
+          "pass": true,
+          "detail": "no column headers found in prompt",
+          "severity": "OK"
+        },
+        {
+          "check": "hint_specificity",
+          "pass": true,
+          "detail": "clean",
+          "severity": "OK"
+        },
+        {
+          "check": "evidence_scope",
+          "pass": true,
+          "detail": "no cross-sheet refs in GT",
+          "severity": "OK"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 3 col groups"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": true,
+          "detail": "GT funcs: ['MAX', 'SUM']",
+          "severity": "OK"
+        },
+        {
+          "check": "unmatched_default_rule",
+          "pass": true,
+          "detail": "no default-rule phrase found in NL",
+          "severity": "OK"
+        },
+        {
+          "check": "volatile_function_freeze",
+          "pass": true,
+          "detail": "volatile_cells=0",
+          "severity": "OK"
+        },
+        {
+          "check": "direct_answer_leakage",
+          "pass": true,
+          "detail": "0 leaks out of 187 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": 187,
+      "total_non_none": 187,
+      "block_reasons": [],
+      "warnings": [],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "int": 187
+          },
+          "mixed": false
+        },
+        "empty_gt": {
+          "count": 0,
+          "details": []
+        }
+      }
+    },
+    "src_chain": {
+      "hard_block": false,
+      "block_reasons": [],
+      "checks": {
+        "error_cells": {
+          "pass": true,
+          "count": 0,
+          "cells": []
+        },
+        "external_refs": {
+          "pass": true,
+          "count": 0,
+          "cells": []
+        },
+        "volatile_funcs": {
+          "pass": true,
+          "count": 0,
+          "cells": []
+        },
+        "missing_sheets": {
+          "pass": true,
+          "count": 0,
+          "sheets": []
+        },
+        "circular_refs": {
+          "pass": true,
+          "cycle_cells": []
+        }
+      },
+      "required_chain_scope": {
+        "external_ref_in_required_chain": 0,
+        "external_ref_in_other": 0,
+        "error_cells_in_required_chain": 0,
+        "error_cells_in_other": 0,
+        "required_chain_cells": 187
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 187,
+      "total_masked": 187,
+      "total_visible": 107,
+      "depth": 2,
+      "block_reasons": [
+        "broken_chains:107/187=57.2%"
+      ],
+      "warnings": [],
+      "checks": {
+        "broken_chains": {
+          "count": 107,
+          "checked": 187,
+          "details": [
+            {
+              "cell": "Sheet1!C40",
+              "missing_dep": "Sheet1!B40",
+              "formula": "=MAX(0,B40-B39)"
+            },
+            {
+              "cell": "Sheet1!G49",
+              "missing_dep": "Sheet1!F49",
+              "formula": "=MAX(0,F49-F48)"
+            },
+            {
+              "cell": "Sheet1!C49",
+              "missing_dep": "Sheet1!B49",
+              "formula": "=MAX(0,B49-B48)"
+            },
+            {
+              "cell": "Sheet1!G58",
+              "missing_dep": "Sheet1!F58",
+              "formula": "=MAX(0,F58-F57)"
+            },
+            {
+              "cell": "Sheet1!C58",
+              "missing_dep": "Sheet1!B58",
+              "formula": "=MAX(0,B58-B57)"
+            },
+            {
+              "cell": "Sheet1!G12",
+              "missing_dep": "Sheet1!F12",
+              "formula": "=MAX(0,F12-F11)"
+            },
+            {
+              "cell": "Sheet1!C12",
+              "missing_dep": "Sheet1!B12",
+              "formula": "=MAX(0,B12-B11)"
+            },
+            {
+              "cell": "Sheet1!G21",
+              "missing_dep": "Sheet1!F21",
+              "formula": "=MAX(0,F21-F20)"
+            },
+            {
+              "cell": "Sheet1!H65",
+              "missing_dep": "Sheet1!C65",
+              "formula": "=SUM(C65+G65)"
+            },
+            {
+              "cell": "Sheet1!C33",
+              "missing_dep": "Sheet1!B33",
+              "formula": "=MAX(0,B33-B32)"
+            },
+            {
+              "cell": "Sheet1!C42",
+              "missing_dep": "Sheet1!B42",
+              "formula": "=MAX(0,B42-B41)"
+            },
+            {
+              "cell": "Sheet1!G51",
+              "missing_dep": "Sheet1!F51",
+              "formula": "=MAX(0,F51-F50)"
+            },
+            {
+              "cell": "Sheet1!C51",
+              "missing_dep": "Sheet1!B51",
+              "formula": "=MAX(0,B51-B50)"
+            },
+            {
+              "cell": "Sheet1!G60",
+              "missing_dep": "Sheet1!F60",
+              "formula": "=MAX(0,F60-F59)"
+            },
+            {
+              "cell": "Sheet1!C60",
+              "missing_dep": "Sheet1!B60",
+              "formula": "=MAX(0,B60-B59)"
+            },
+            {
+              "cell": "Sheet1!G14",
+              "missing_dep": "Sheet1!F14",
+              "formula": "=MAX(0,F14-F13)"
+            },
+            {
+              "cell": "Sheet1!C26",
+              "missing_dep": "Sheet1!B26",
+              "formula": "=MAX(0,B26-B25)"
+            },
+            {
+              "cell": "Sheet1!C35",
+              "missing_dep": "Sheet1!B35",
+              "formula": "=MAX(0,B35-B34)"
+            },
+            {
+              "cell": "Sheet1!G44",
+              "missing_dep": "Sheet1!F44",
+              "formula": "=MAX(0,F44-F43)"
+            },
+            {
+              "cell": "Sheet1!C44",
+              "missing_dep": "Sheet1!B44",
+              "formula": "=MAX(0,B44-B43)"
+            }
+          ]
+        },
+        "orphan_masks": {
+          "count": 0,
+          "details": []
+        },
+        "self_contained": {
+          "missing_sheets": []
+        }
+      }
+    },
+    "exemplar": {
+      "soft_block": true,
+      "block_reasons": [
+        "zero_exemplar:1_patterns"
+      ],
+      "checks": {
+        "pattern_coverage": {
+          "pass": false,
+          "total_gt_patterns": 2,
+          "total_src_patterns": 6,
+          "zero_exemplar_count": 1,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": false,
+          "patterns": [
+            {
+              "pattern": "=MAX(0,REF-REF)",
+              "total_in_src": 124,
+              "sample_formula": "=MAX(0,B3-B2)"
+            }
+          ]
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "SUM": {
+            "total_masked": 63,
+            "visible_exemplars": 193
+          },
+          "MAX": {
+            "total_masked": 124,
+            "visible_exemplars": 0
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.5,
+      "flags": [
+        {
+          "code": "SC1",
+          "description": "Constant fill: 86% of GT cells = 0",
+          "affected_cells": 160,
+          "severity": "medium"
+        },
+        {
+          "code": "SC4",
+          "description": "All-zero: 160/187 GT cells are 0",
+          "affected_cells": 160,
+          "severity": "medium"
+        }
+      ]
+    },
+    "release_audit": {
+      "surface_single_sheet": true,
+      "surface_sheets": [
+        "Sheet1"
+      ],
+      "cross_sheet_actual": false,
+      "cross_sheet_ref_count": 0,
+      "referenced_sheets": [],
+      "target_shape": "single_column_series",
+      "layer_sizes": [
+        63,
+        124
+      ],
+      "mask_last_total_cells": 187,
+      "layer_growth_ratios": [
+        1.9683
+      ],
+      "pattern_dominance_ratio": 0.6631,
+      "visible_clone_regions": 0,
+      "nearby_visible_clone_regions": 0,
+      "nearby_visible_clone_rows": 0,
+      "nearby_visible_clone_ratio": 0.0,
+      "promptability_score": 1.0,
+      "release_reasons": [],
+      "release_verdict": "KEEP"
+    }
+  },
+  "difficulty": {
+    "task_id": "single_sheet__dag_12f915994caa",
+    "difficulty_score": 48.3,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 187,
+    "is_cross_sheet": false,
+    "unique_patterns": 3,
+    "avg_complexity": 5.0,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.016,
+    "score_breakdown": {
+      "depth": 7,
+      "cross_sheet": 0,
+      "cell_count": 15,
+      "patterns": 9,
+      "complexity": 7.5,
+      "cross_refs": 0,
+      "vis_penalty": 9.8
+    }
+  }
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08496/ground_truth_full.json ADDED Viewed

	@@ -0,0 +1,1685 @@

+[
+  {
+    "sheet": "Sheet1",
+    "col": "H",
+    "row": 3,
+    "formula": "=SUM(C3+G3)",
+    "cached_value": 11,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "H",
+    "row": 4,
+    "formula": "=SUM(C4+G4)",
+    "cached_value": 16,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "H",
+    "row": 5,
+    "formula": "=SUM(C5+G5)",
+    "cached_value": 15,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "H",
+    "row": 6,
+    "formula": "=SUM(C6+G6)",
+    "cached_value": 15,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "H",
+    "row": 7,
+    "formula": "=SUM(C7+G7)",
+    "cached_value": 18,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "H",
+    "row": 8,
+    "formula": "=SUM(C8+G8)",
+    "cached_value": 10,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "H",
+    "row": 9,
+    "formula": "=SUM(C9+G9)",
+    "cached_value": 16,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "H",
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+    "formula": "=SUM(C10+G10)",
+    "cached_value": 15,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "H",
+    "row": 11,
+    "formula": "=SUM(C11+G11)",
+    "cached_value": 15,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "H",
+    "row": 12,
+    "formula": "=SUM(C12+G12)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "H",
+    "row": 13,
+    "formula": "=SUM(C13+G13)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "H",
+    "row": 14,
+    "formula": "=SUM(C14+G14)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "H",
+    "row": 15,
+    "formula": "=SUM(C15+G15)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "H",
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+    "formula": "=SUM(C16+G16)",
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+  },
+  {
+    "sheet": "Sheet1",
+    "col": "H",
+    "row": 17,
+    "formula": "=SUM(C17+G17)",
+    "cached_value": 0,
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+    "layer": 1
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+  {
+    "sheet": "Sheet1",
+    "col": "H",
+    "row": 18,
+    "formula": "=SUM(C18+G18)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "H",
+    "row": 19,
+    "formula": "=SUM(C19+G19)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "H",
+    "row": 20,
+    "formula": "=SUM(C20+G20)",
+    "cached_value": 0,
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+    "formula": "=SUM(C21+G21)",
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+    "formula": "=SUM(C22+G22)",
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+    "formula": "=SUM(C23+G23)",
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+    "formula": "=SUM(C25+G25)",
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+  {
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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08496/nl_task.json ADDED Viewed

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

+{
+  "task_id": "single_sheet__dag_12f915994caa",
+  "prompt_en": "Sheet1 is a daily usage log organized by DATE, with separate columns for [Person_1], 24hr usage, cycle usage, [Person_2], and the final day total. Please complete the blank day total entries in column H, from H3:H65, for each listed date. The row-level usage fields need to be in place before the day total column is meaningful. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "Sheet1 是一张按 DATE 记录的日使用情况表，里面有 [Person_1]、24hr usage、cycle usage、[Person_2] 以及最终的 day total 等列。请补全 H 列中空白的 day total 项，也就是 H3:H65，对应每个已列出的日期。每一行的使用情况字段需要先完整，day total 列才有意义。请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt is minimal and domain-specific, identifies the target sheet and range, mentions the natural dependency without describing operations, and avoids formulas or computation hints.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
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+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
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+      "cell_range_density": 3,
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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08496/release_qc.json ADDED Viewed

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

+{
+  "binary": true,
+  "binary_reason": "Well-designed overall: mask is clean, GT is consistent, and the dependency chain is inferable from visible readings, headers, and adjacent cumulative formulas, though the NL could be clearer about filling prerequisite usage fields.",
+  "D1": {
+    "score": 5,
+    "reason": "All contract-masked cells are real within the sheet range, the mask boundary is clean, and the diff summary shows 187 truly masked contract cells with no extra masking. There is no trivially copyable visible exemplar for the final target or prerequisite formulas; visible adjacent formulas provide structural clues but still require reasoning."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The layer-1 GT formulas consistently compute day total as C+G for each row, and the cached values match the visible source values, including zeros where usage fields are blank or evaluate to zero. Formulas are deterministic and internally consistent."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL clearly identifies the target range H3:H65 and the meaning of the day total column. It also hints that row-level usage fields must be in place first, but it does not explicitly name C and G as prerequisite cells to be filled, so it is slightly under-specified for the full chain."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "Using only mask_last.xlsx and the NL, the solver can infer the chain: columns B and F are cumulative readings, columns C and G are 24hr usage, visible D and I formulas show cumulative cycle usage depending on C/G, and H is labeled day total, naturally summing the two usage columns. The main minor gap is that the exact nonnegative clamp behavior for blank/missing readings is not directly visible, but it is a reasonable inference from usage being nonnegative and from the sheet structure.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 4,
+    "reason": "The source spreadsheet is generally sound: headers are meaningful, formulas are consistent, and there are no signs of broken references or circularity. There are many blank reading rows and C65/G65 are blank while downstream formulas still reference them, but this appears to be an intentional sparse log rather than corruption."
+  },
+  "D6": {
+    "score": 4,
+    "reason": "The NL sounds mostly like a realistic workbook-completion request and avoids benchmark jargon. The phrasing about row-level usage fields is slightly artificial, but acceptable."
+  },
+  "total": 26,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality task with clean masking and correct GT. It is solvable from visible workbook evidence plus the prompt, with only minor NL under-specification about prerequisite columns and a modest inference required for nonnegative usage.",
+  "frontier_hardness": {
+    "score": 2,
+    "reason": "This is a short single-sheet depth-2 chain with three simple repeated formula patterns and strong visible structural clues from headers, readings, and adjacent cumulative formulas. A frontier model should likely reconstruct it successfully, though it is not purely copy-paste trivial.",
+    "fail_reason": "easy",
+    "is_valid_hardness": false
+  },
+  "_prompt_chars": 74007,
+  "_timing_load_workbooks": 0.09,
+  "_timing_context": 0.01,
+  "_timing_api": 45.61,
+  "local_difficulty": {
+    "difficulty_score": 48.3,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 187,
+    "is_cross_sheet": false,
+    "unique_patterns": 3,
+    "avg_complexity": 5,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.016
+  },
+  "task_id": "single_sheet__dag_12f915994caa",
+  "elapsed": 45.7,
+  "publish_decision": "YES",
+  "release_tier": "SILVER",
+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08496/target_contract.json ADDED Viewed

	@@ -0,0 +1,247 @@

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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08512/audit.json ADDED Viewed

	@@ -0,0 +1,408 @@

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+          "severity": "pass",
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+          "pass": true,
+          "detail": "mask_last=9891B, src=13581B"
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+          "detail": "ratio=1.2 (total=24, final=20)"
+        },
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+          "detail": "0 duplicate cells across layers"
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+          "detail": "5 unique values across 24 cells"
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+          "severity": "OK"
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+          "pass": true,
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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08512/ground_truth_full.json ADDED Viewed

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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08512/ground_truth_target.json ADDED Viewed

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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08512/layers.json ADDED Viewed

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+  "file_id": "684560d1593443459-how-to-distribute-values-equally-in-excel-master-sheet-for-contractor-bills-v1",
+  "category": "single_sheet",
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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08512/nl_task.json ADDED Viewed

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+{
+  "task_id": "single_sheet__dag_16c73900be26",
+  "prompt_en": "Sheet1 is laid out like a chainage/layer schedule, with columns for Layer, Chainage, Distributed, From, To, Qty, and separate entries for 1st Layer, 2nd Layer, and 3rd Layer. Please complete the blank values in the 1st Layer column, specifically L4:L23, using the visible rows around them as the context. Some of the supporting row fields in this sheet need to be in place before the layer entries make sense, so keep the related Layer, Chainage, Distributed, From, To, and Qty information aligned as you work. When you’re done, save the completed workbook as an .xlsx file.",
+  "prompt_cn": "Sheet1 看起来是一张按 chainage 和 layer 整理的明细表，包含 Layer、Chainage、Distributed、From、To、Qty，以及 1st Layer、2nd Layer、3rd Layer 这些列。请根据周围可见的行内容，补全 1st Layer 列中的空白值，位置是 L4:L23。这个表里有些行内的基础信息需要先对应好，层级相关的内容才会清楚，所以填写时请让 Layer、Chainage、Distributed、From、To 和 Qty 等相关信息保持一致。完成后，请将补全后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt is minimal and scenario-based, references only visible sheet and column labels, identifies the target range semantically and by location, mentions natural prerequisite context without giving operational hints, and avoids formulas or answer values.",
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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08512/release_qc.json ADDED Viewed

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

+{
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+  },
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+  },
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+  },
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+    "reason": "The prompt sounds mostly like a realistic workplace request and avoids benchmark-specific jargon. It is a bit generic and slightly verbose, especially the instruction to save as .xlsx, but still natural enough."
+  },
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+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality task overall: clean masking, correct GT, and solvable dependency chain. The visible adjacent formulas reduce difficulty, but the masked Distributed prerequisite still prevents the task from being entirely trivial.",
+  "frontier_hardness": {
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+  "publish_decision": "YES",
+  "release_tier": "SILVER",
+  "hard_block_reasons": []
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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08512/src.xlsx ADDED Viewed

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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08512/target_contract.json ADDED Viewed

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+  "sheets_involved": [
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+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08512/task_meta.json ADDED Viewed

	@@ -0,0 +1,46 @@

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+  "fcb_id": "FCB-08512",
+  "task_id": "single_sheet__dag_16c73900be26",
+  "tier": "T4_STANDARD",
+  "category": "single_sheet",
+  "depth": 2,
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+  "prompt_cn": "Sheet1 看起来是一张按 chainage 和 layer 整理的明细表，包含 Layer、Chainage、Distributed、From、To、Qty，以及 1st Layer、2nd Layer、3rd Layer 这些列。请根据周围可见的行内容，补全 1st Layer 列中的空白值，位置是 L4:L23。这个表里有些行内的基础信息需要先对应好，层级相关的内容才会清楚，所以填写时请让 Layer、Chainage、Distributed、From、To 和 Qty 等相关信息保持一致。完成后，请将补全后的工作簿保存为 .xlsx 文件。",
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+    "verdict": "RELEASE",
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+    "D5": 5,
+    "D6": 4,
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+  "inferred_domain": "general",
+  "domain_confidence": 0.0,
+  "sheet_profiles": [
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+      "title_hint": "Sheet1",
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+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08527/audit.json ADDED Viewed

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+          "detail": "mask_last=17784B, src=24970B"
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+          "pass": true,
+          "detail": "10 unique values across 21 cells"
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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08527/ground_truth_full.json ADDED Viewed

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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08527/ground_truth_target.json ADDED Viewed

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+    "formula": "=IF(AND(L13>0,M13>0,L14=0,M14=0,M12<NOW()),1,0)",
+    "cached_value": 0,
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "L",
+    "row": 172,
+    "formula": "=IF(AND(L16>0,M16>0,L17=0,M17=0,M15<NOW()),1,0)",
+    "cached_value": 1,
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "L",
+    "row": 175,
+    "formula": "=IF(AND(L19>0,M19>0,L20=0,M20=0,M18<NOW()),1,0)",
+    "cached_value": 1,
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "L",
+    "row": 178,
+    "formula": "=IF(AND(L22>0,M22>0,L23=0,M23=0,M21<NOW()),1,0)",
+    "cached_value": 1,
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "L",
+    "row": 181,
+    "formula": "=IF(AND(L25>0,M25>0,L26=0,M26=0,M24<NOW()),1,0)",
+    "cached_value": 1,
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "L",
+    "row": 184,
+    "formula": "=IF(AND(L28>0,M28>0,L29=0,M29=0,M27<NOW()),1,0)",
+    "cached_value": 0,
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "L",
+    "row": 187,
+    "formula": "=IF(AND(L31>0,M31>0,L32=0,M32=0,M30<NOW()),1,0)",
+    "cached_value": 0,
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "L",
+    "row": 190,
+    "formula": "=IF(AND(L34>0,M34>0,L35=0,M35=0,M33<NOW()),1,0)",
+    "cached_value": 0,
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "L",
+    "row": 193,
+    "formula": "=IF(AND(L37>0,M37>0,L38=0,M38=0,M36<NOW()),1,0)",
+    "cached_value": 0,
+    "pattern_id": "pf_0001"
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "L",
+    "row": 196,
+    "formula": "=IF(AND(L40>0,M40>0,L41=0,M41=0,M39<NOW()),1,0)",
+    "cached_value": 0,
+    "pattern_id": "pf_0001"
+  }
+]

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08527/layers.json ADDED Viewed

	@@ -0,0 +1,105 @@

+{
+  "dag_id": "dag_18b16318f7d2",
+  "file_id": "109005d1305912346-if-statement-if-true-make-cell-standout-time-sheet",
+  "category": "single_sheet",
+  "surface_category": "single_sheet",
+  "effective_category": "single_sheet",
+  "depth": 2,
+  "quality": {
+    "chain_error_cells": 0,
+    "chain_external_cells": 0,
+    "is_clean": true
+  },
+  "layers": [
+    {
+      "layer_index": 1,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00074",
+            "rg_00075",
+            "rg_00076",
+            "rg_00077",
+            "rg_00078",
+            "rg_00079",
+            "rg_00080",
+            "rg_00081",
+            "rg_00082",
+            "rg_00083",
+            "rg_00084",
+            "rg_00085",
+            "rg_00086"
+          ],
+          "sheet": "Sheet1",
+          "col": "L",
+          "rows": [
+            160,
+            163,
+            166,
+            169,
+            172,
+            175,
+            178,
+            181,
+            184,
+            187,
+            190,
+            193,
+            196
+          ],
+          "row_ranges": "160,163,166,169,172,175,178,181,184,187,190,193,196",
+          "row_count": 13,
+          "pattern_id": "pf_0001",
+          "normalized_pattern": "=IF(AND([C,R-156]>0,[C+1,R-156]>0,[C,R-155]=0,[C+1,R-155]=0,[C+1,R-157]<NOW()),1,0)",
+          "sample_formula": "=IF(AND(L4>0,M4>0,L5=0,M5=0,M3<NOW()),1,0)"
+        }
+      ],
+      "new_eval_cells": 13,
+      "total_masked_cells": 13
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00259",
+            "rg_00260",
+            "rg_00261",
+            "rg_00262",
+            "rg_00263",
+            "rg_00264",
+            "rg_00265",
+            "rg_00266"
+          ],
+          "sheet": "Sheet1",
+          "col": "M",
+          "rows": [
+            3,
+            6,
+            9,
+            12,
+            15,
+            18,
+            21,
+            24
+          ],
+          "row_ranges": "3,6,9,12,15,18,21,24",
+          "row_count": 8,
+          "pattern_id": "pf_0009",
+          "normalized_pattern": "=[C-12,R+1]+3",
+          "sample_formula": "=A4+3"
+        }
+      ],
+      "new_eval_cells": 8,
+      "total_masked_cells": 21
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00074",
+    "sheet": "Sheet1",
+    "col": "L",
+    "pattern_id": "pf_0001",
+    "row_count": 1,
+    "family_size": 13
+  }
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08527/mask_last.xlsx ADDED Viewed

Binary file (17.8 kB). View file

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08527/nl_task.json ADDED Viewed

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

+{
+  "task_id": "single_sheet__dag_18b16318f7d2",
+  "prompt_en": "The Time Sheet/Schedule on Sheet1 is laid out by WEEK with day columns such as SUN, MON, TUE, and WED, and the Wednesday column has several gaps in the lower part of the schedule. Please complete the blank entries in the WED column for these locations: L160, L163, L166, L169, L172, L175, L178, L181, L184, L187, L190, L193, and L196. Some day-by-day entries in the sheet feed into later blank areas, so make sure the relevant schedule entries are in place before the Wednesday column is finalized. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "Sheet1 上的 Time Sheet/Schedule 按 WEEK 排列，并包含 SUN、MON、TUE、WED 等日期列；其中 WED 列在表格下半部分还有几处空白。请补全 WED 列中这些位置的空白内容：L160、L163、L166、L169、L172、L175、L178、L181、L184、L187、L190、L193 和 L196。表中的一些逐日记录会影响后面空白区域的内容，因此在完成 WED 列之前，请确保相关的日程记录已经填写到位。请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt stays within visible workbook labels and the provided sheet/range information, identifies the target WED cells clearly, mentions the natural prerequisite context without describing operations, and avoids formulas or numeric answers.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 9,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
+      "operation_words": 0,
+      "cell_range_density": 9,
+      "step_by_step": 0,
+      "column_operation_mapping": 0,
+      "formula_pattern_hints": 0
+    },
+    "operation_words_found": [],
+    "cell_ranges_found": 0
+  },
+  "version": "v7",
+  "model": "gpt-5.5",
+  "elapsed": 30.3,
+  "attempt": 1
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08527/release_qc.json ADDED Viewed

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

+{
+  "binary": true,
+  "binary_reason": "CORRECT: the mask is clean and the dependency chain is reconstructible from visible same-sheet patterns, with only a mild volatility concern from NOW().",
+  "D1": {
+    "score": 4,
+    "reason": "All 21 contract cells are real in-range cells, all are truly masked, no contract cells were missed, and there is no extra masking outside the contract. Visible same-pattern exemplars exist in adjacent day columns, making the task relatively easy, but the solver still must connect the lower WED outputs to the upper WED date/header prerequisites rather than simply filling isolated blanks."
+  },
+  "D2": {
+    "score": 4,
+    "reason": "The listed GT formulas match the source patterns and are internally consistent with the source workbook. The only concern is use of NOW(), which makes the cached 0/1 values time-dependent if recalculated later; formula correctness is clear, but value determinism is not perfect."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL clearly identifies Sheet1, the WED column, and the exact final target cells to complete. It also hints that upstream schedule entries feed later blanks. It does not explicitly list the prerequisite M cells, but that is acceptable for chain reconstruction."
+  },
+  "D4": {
+    "score": 5,
+    "reason": "Using only mask_last.xlsx and the NL, the needed evidence is visible. The final L-column formulas can be inferred from visible analogous formulas in F/I/O/R on the same target rows, and the masked M3:M24 date/header formulas can be inferred from neighboring visible date formulas G/J/P/S plus the WED/THU layout. The chain is short and reconstructible without hidden constants.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 4,
+    "reason": "The source spreadsheet appears structurally sound: formulas are consistent, headers/day layout are meaningful, and there are no signs of corruption, circularity, or broken references in the supplied context. The main data-quality caveat is the volatile NOW() dependency in summary formulas."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The prompt reads like a plausible workplace spreadsheet-completion request, avoids benchmark jargon, and gives a natural description of the schedule context."
+  },
+  "total": 26,
+  "verdict": "RELEASE",
+  "verdict_reason": "Publishable as-is: clean masking, valid chain design, and adequate visible evidence. The task is on the easier side because of adjacent exemplars, and NOW() introduces mild volatility, but neither issue is fundamental.",
+  "frontier_hardness": {
+    "score": 2,
+    "reason": "A frontier model would likely succeed. The task has only two formula patterns, no cross-sheet dependencies, and strong visible exemplars in neighboring columns. Some dependency-chain awareness is required, but there are no hidden rules or difficult multi-hop references.",
+    "fail_reason": "easy",
+    "is_valid_hardness": false
+  },
+  "_prompt_chars": 44890,
+  "_timing_load_workbooks": 0.13,
+  "_timing_context": 0.02,
+  "_timing_api": 85.27,
+  "local_difficulty": {
+    "difficulty_score": 40.7,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 21,
+    "is_cross_sheet": false,
+    "unique_patterns": 2,
+    "avg_complexity": 14,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.606
+  },
+  "task_id": "single_sheet__dag_18b16318f7d2",
+  "elapsed": 85.4,
+  "publish_decision": "YES",
+  "release_tier": "SILVER",
+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08527/src.xlsx ADDED Viewed

Binary file (25 kB). View file

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08527/target_contract.json ADDED Viewed

	@@ -0,0 +1,70 @@

+{
+  "task_id": "single_sheet__dag_18b16318f7d2",
+  "category": "single_sheet",
+  "depth": 2,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "Sheet1",
+        "column": "L",
+        "column_header": "WED",
+        "cell_range": "L160, L163, L166, L169, L172, L175, L178, L181, L184, L187, L190, L193, L196",
+        "cell_count": 13,
+        "rows": [
+          160,
+          163,
+          166,
+          169,
+          172,
+          175,
+          178,
+          181,
+          184,
+          187,
+          190,
+          193,
+          196
+        ],
+        "first_row_label": "",
+        "last_row_label": ""
+      }
+    ],
+    "cell_count": 13,
+    "formula_families": [
+      "conditional"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Sheet1",
+          "column": "M",
+          "column_header": "Time Sheet/Schedule",
+          "cell_range": "M3, M6, M9, M12, M15, M18, M21, M24",
+          "cell_count": 8,
+          "rows": [
+            3,
+            6,
+            9,
+            12,
+            15,
+            18,
+            21,
+            24
+          ],
+          "first_row_label": "WEEK",
+          "last_row_label": "WEEK"
+        }
+      ],
+      "cell_count": 8
+    }
+  ],
+  "total_prerequisite_cells": 8,
+  "total_masked_cells": 21,
+  "ratio_total_vs_final": 1.6,
+  "sheets_involved": [
+    "Sheet1"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08527/task_meta.json ADDED Viewed

	@@ -0,0 +1,37 @@

+{
+  "fcb_id": "FCB-08527",
+  "task_id": "single_sheet__dag_18b16318f7d2",
+  "tier": "T4_STANDARD",
+  "category": "single_sheet",
+  "depth": 2,
+  "total_masked": 21,
+  "is_cross_sheet": false,
+  "prompt_en": "The Time Sheet/Schedule on Sheet1 is laid out by WEEK with day columns such as SUN, MON, TUE, and WED, and the Wednesday column has several gaps in the lower part of the schedule. Please complete the blank entries in the WED column for these locations: L160, L163, L166, L169, L172, L175, L178, L181, L184, L187, L190, L193, and L196. Some day-by-day entries in the sheet feed into later blank areas, so make sure the relevant schedule entries are in place before the Wednesday column is finalized. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "Sheet1 上的 Time Sheet/Schedule 按 WEEK 排列，并包含 SUN、MON、TUE、WED 等日期列；其中 WED 列在表格下半部分还有几处空白。请补全 WED 列中这些位置的空白内容：L160、L163、L166、L169、L172、L175、L178、L181、L184、L187、L190、L193 和 L196。表中的一些逐日记录会影响后面空白区域的内容，因此在完成 WED 列之前，请确保相关的日程记录已经填写到位。请将完成后的工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 26,
+    "verdict": "RELEASE",
+    "D1": 4,
+    "D2": 4,
+    "D3": 4,
+    "D4": 5,
+    "D5": 4,
+    "D6": 5,
+    "frontier_hardness": 2,
+    "local_difficulty": 40.7
+  },
+  "source_file_id": "109005d1305912346-if-statement-if-true-make-cell-standout-time-sheet",
+  "inferred_domain": "operations",
+  "domain_confidence": 0.25,
+  "sheet_profiles": [
+    {
+      "name": "Sheet1",
+      "used_range": "A1:AD196",
+      "row_count": 196,
+      "col_count": 30,
+      "has_header": false,
+      "title_hint": "Sheet1",
+      "header_info": null
+    }
+  ]
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08689/audit.json ADDED Viewed

	@@ -0,0 +1,421 @@

+{
+  "gate": {
+    "pre_nl_gate": {
+      "gate_label": "GATE_PASS",
+      "gate_pass": true,
+      "hard_fails": 0,
+      "warns": 0,
+      "checks": [
+        {
+          "check": "final_target_gate",
+          "pass": true,
+          "detail": "final_target has 10 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=515447B, src=712397B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=12.1 (total=121, final=10) [WARN: high mask ratio]"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "59 unique values across 121 cells"
+        },
+        {
+          "check": "tail_artifact",
+          "pass": true,
+          "detail": "0 bad values"
+        },
+        {
+          "check": "unrecoverable_leaf",
+          "pass": true,
+          "detail": "clean",
+          "hidden_const_cells": []
+        },
+        {
+          "check": "adjacent_column_leak",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "header_name_accuracy",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "duplicate_lookup_tie_break",
+          "pass": true,
+          "detail": "no lookup formulas"
+        },
+        {
+          "check": "src_chain_integrity",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean",
+          "sub_checks": {
+            "error_cells": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "external_refs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "volatile_funcs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "missing_sheets": {
+              "pass": true,
+              "count": 0,
+              "sheets": []
+            },
+            "circular_refs": {
+              "pass": true,
+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
+        }
+      ]
+    },
+    "post_nl_validate": {
+      "validate_label": "CLEAN",
+      "validate_pass": true,
+      "hard_fails": 0,
+      "soft_warns": 0,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": true,
+          "detail": "contract=32, prompt=10, missing=0",
+          "missing_ranges": [],
+          "severity": "OK"
+        },
+        {
+          "check": "cell_count_match",
+          "pass": true,
+          "detail": "no explicit total found; skipping (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "step_count_match",
+          "pass": true,
+          "detail": "contract=1, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": true,
+          "detail": "contract=['06242018-06302018'], missing=[]",
+          "severity": "OK"
+        },
+        {
+          "check": "no_formula_leak",
+          "pass": true,
+          "detail": "0 formula leaks",
+          "severity": "OK"
+        },
+        {
+          "check": "no_value_leak",
+          "pass": true,
+          "detail": "0 value leaks out of 10 GT cells",
+          "severity": "OK"
+        },
+        {
+          "check": "final_target_first",
+          "pass": true,
+          "detail": "no explicit final target marker (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "output_format",
+          "pass": true,
+          "detail": "output format found",
+          "severity": "OK"
+        },
+        {
+          "check": "header_in_prompt",
+          "pass": true,
+          "detail": "no column headers found in prompt",
+          "severity": "OK"
+        },
+        {
+          "check": "hint_specificity",
+          "pass": true,
+          "detail": "clean",
+          "severity": "OK"
+        },
+        {
+          "check": "evidence_scope",
+          "pass": true,
+          "detail": "no cross-sheet refs in GT",
+          "severity": "OK"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 1 col groups"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": true,
+          "detail": "GT funcs: ['SUBTOTAL']",
+          "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 121 GT cells (0%)",
+          "severity": "OK"
+        }
+      ]
+    },
+    "pre_nl_local": {
+      "local_total": 55,
+      "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": 5,
+        "nl_schema": 0,
+        "target_alignment": 0,
+        "business_specificity": 0,
+        "nl_risk": 0
+      }
+    }
+  },
+  "verify": {
+    "uniqueness": {
+      "total_gt_cells": 121,
+      "total_non_none": 121,
+      "block_reasons": [],
+      "warnings": [],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08689/nl_task.json ADDED Viewed

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+  "task_id": "single_sheet__dag_37deb469d78a",
+  "prompt_en": "The 06242018-06302018 sheet is an employee time record for payroll processing, with columns such as Employee, Crew, Job, Time in, Time of arrival to job, Time left job, Time returned to office, and Time punched out. Please fill in the missing entries in the Time on the job column for the affected rows: J14, J20, J26, J44, J50, J68, J88, J101, J121, and J127. Some of the surrounding time fields naturally support the job-time entries, so make sure the related time information is in place as needed before completing those blanks. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "“06242018-06302018”工作表是一份用于薪资处理的员工工时记录，里面有 Employee、Crew、Job、Time in、Time of arrival to job、Time left job、Time returned to office 和 Time punched out 等列。请补全 Time on the job 列中缺失的记录，位置是 J14、J20、J26、J44、J50、J68、J88、J101、J121 和 J127。周围的时间字段会自然支撑这些在岗时间记录，因此在填写这些空白之前，请确保相关时间信息已经按需要补齐。请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt is minimal and business-oriented, references only visible sheet and column labels, identifies the target cells semantically with ranges, avoids formulas and operational hints, and includes a natural prerequisite note without detailing the dependency chain.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 7,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
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+  "version": "v7",
+  "model": "gpt-5.5",
+  "elapsed": 8.8,
+  "attempt": 1
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08689/release_qc.json ADDED Viewed

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+{
+  "binary": true,
+  "binary_reason": "Well-designed overall: real in-range cells, correct formulas, and solvable from visible time fields/patterns, with only a minor extra-masked cell outside the task sheet.",
+  "D1": {
+    "score": 4,
+    "reason": "All contracted masked cells are real cells within the 06242018-06302018 sheet range and the chain-masking of prerequisite J cells is intentional. There is no phantom range and no evidence of trivially copyable leakage that eliminates reasoning, since solvers still need infer detail-row job-time formulas and subtotal boundaries. However, the diff reports one extra masked cell outside the contract, 03252018-03312018!P128, so the mask boundary is not perfectly clean."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The layer-1 GT formulas are consistent with the source sheet structure: each target total row uses SUBTOTAL(9, relevant preceding J detail rows). Cached values align with the visible source data, including the overnight-style rows where source formulas use the workbook's existing sign convention. The formulas are deterministic and internally consistent."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL description clearly identifies the sheet, the Time on the job column, and the final cells to complete. It gives useful payroll/time-record context. It is slightly indirect about the fact that many prerequisite J cells are also blank and must be reconstructed to complete the totals, but the instruction to ensure related time information is in place provides some hint."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "From mask_last.xlsx plus the NL prompt, the task is reconstructible. The headers identify Time of arrival to job, Time left job, and Time on the job; H/I values are visible for all detail rows; adjacent columns expose similar row-wise time-difference formulas and total-row SUBTOTAL patterns. Total rows in neighboring columns show subtotal range boundaries, and visible unmasked J total values elsewhere provide evidence for the workbook's handling of normal versus overnight time differences. The main challenge is inferring the sign convention for overnight rows and then using the reconstructed detail J values to fill the target subtotal rows, but the root evidence is present.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 4,
+    "reason": "The source workbook appears structurally sound: meaningful payroll/time-record headers, consistent formulas, no indicated circular references or broken formulas, and target formulas match cached values. Some time formulas use non-obvious overnight conventions that may look unusual semantically, but they are consistent with the workbook's existing data and not evidence of corruption."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The NL reads like a plausible workplace spreadsheet request for payroll processing. It avoids benchmark jargon and naturally references the relevant time-record fields and output workbook format."
+  },
+  "total": 26,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality task with correct GT and sufficient visible evidence for reconstruction. The only notable issue is one extra-masked cell on a different sheet, which is minor and unlikely to affect this single-sheet task.",
+  "frontier_hardness": {
+    "score": 2,
+    "reason": "A frontier model should likely succeed: the task is single-sheet, depth 2, and highly repetitive, with visible headers, time inputs, adjacent formula structure, and visible subtotal exemplars. The main difficulty is the volume of cells and the overnight sign convention, not deep or cross-sheet reasoning.",
+    "fail_reason": "easy",
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+    "total_masked": 121,
+    "is_cross_sheet": false,
+    "unique_patterns": 3,
+    "avg_complexity": 4,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.565
+  },
+  "task_id": "single_sheet__dag_37deb469d78a",
+  "elapsed": 57.8,
+  "publish_decision": "YES",
+  "release_tier": "SILVER",
+  "hard_block_reasons": []
+}

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+  "final_target": {
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+  "task_id": "single_sheet__dag_37deb469d78a",
+  "tier": "T4_STANDARD",
+  "category": "single_sheet",
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+  "prompt_en": "The 06242018-06302018 sheet is an employee time record for payroll processing, with columns such as Employee, Crew, Job, Time in, Time of arrival to job, Time left job, Time returned to office, and Time punched out. Please fill in the missing entries in the Time on the job column for the affected rows: J14, J20, J26, J44, J50, J68, J88, J101, J121, and J127. Some of the surrounding time fields naturally support the job-time entries, so make sure the related time information is in place as needed before completing those blanks. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "“06242018-06302018”工作表是一份用于薪资处理的员工工时记录，里面有 Employee、Crew、Job、Time in、Time of arrival to job、Time left job、Time returned to office 和 Time punched out 等列。请补全 Time on the job 列中缺失的记录，位置是 J14、J20、J26、J44、J50、J68、J88、J101、J121 和 J127。周围的时间字段会自然支撑这些在岗时间记录，因此在填写这些空白之前，请确保相关时间信息已经按需要补齐。请将完成后的工作簿保存为 .xlsx 文件。",
+  "qc": {
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+    "verdict": "RELEASE",
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+  "inferred_domain": "hr",
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+          "V": "Repeats",
+          "W": "Location",
+          "X": "Subject"
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+      }
+    },
+    {
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+      "title_hint": "11182018 11252018",
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+          "C": "Truck",
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+          "F": "Time left office",
+          "G": "Time before departure",
+          "H": "Time of arrival to job",
+          "I": "Time left job",
+          "J": "Time on the job",
+          "K": "Time returned to office",
+          "L": "Time punched out",
+          "M": "Time after",
+          "N": "Returned to fix",
+          "O": "Time alloted",
+          "P": "Called out"
+        }
+      }
+    }
+  ]
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08717/audit.json ADDED Viewed

	@@ -0,0 +1,495 @@

+{
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+      "gate_label": "GATE_PASS",
+      "gate_pass": true,
+      "hard_fails": 0,
+      "warns": 0,
+      "checks": [
+        {
+          "check": "final_target_gate",
+          "pass": true,
+          "detail": "final_target has 11 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=10525B, src=15480B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=2.0 (total=22, final=11)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "9 unique values across 22 cells"
+        },
+        {
+          "check": "tail_artifact",
+          "pass": true,
+          "detail": "0 bad values"
+        },
+        {
+          "check": "unrecoverable_leaf",
+          "pass": true,
+          "detail": "clean",
+          "hidden_const_cells": []
+        },
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+          "check": "adjacent_column_leak",
+          "pass": true,
+          "detail": "clean"
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+          "check": "header_name_accuracy",
+          "pass": true,
+          "detail": "clean"
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+        {
+          "check": "duplicate_lookup_tie_break",
+          "pass": true,
+          "detail": "no lookup formulas"
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+          "severity": "ok",
+          "detail": "clean",
+          "sub_checks": {
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+          "severity": "OK"
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+          "severity": "OK"
+        },
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+          "severity": "OK"
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+          "check": "output_format",
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+          "detail": "output format found",
+          "severity": "OK"
+        },
+        {
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+          "pass": true,
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+          "detail": "no default-rule phrase found in NL",
+          "severity": "OK"
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+          "check": "volatile_function_freeze",
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+          "detail": "volatile_cells=0",
+          "severity": "OK"
+        },
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+          "pass": true,
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+  }
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08717/ground_truth_full.json ADDED Viewed

	@@ -0,0 +1,200 @@

+[
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+    "formula": "=DATEDIF(G11,H11,\"M\")+1",
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+    "formula": "=DATEDIF(G12,H12,\"M\")+1",
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+  {
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+    "formula": "=DATEDIF(G13,H13,\"M\")+1",
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+  {
+    "sheet": "RevForecast-High Prob",
+    "col": "E",
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+    "formula": "=DATEDIF(G14,H14,\"M\")+1",
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+  {
+    "sheet": "RevForecast-High Prob",
+    "col": "E",
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+    "formula": "=DATEDIF(G16,H16,\"M\")+1",
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+    "pattern_id": "pf_0008",
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+  {
+    "sheet": "RevForecast-High Prob",
+    "col": "E",
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+    "formula": "=DATEDIF(G17,H17,\"M\")+1",
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+  {
+    "sheet": "RevForecast-High Prob",
+    "col": "E",
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+    "formula": "=DATEDIF(G18,H18,\"M\")+1",
+    "cached_value": 1,
+    "pattern_id": "pf_0008",
+    "layer": 2
+  },
+  {
+    "sheet": "RevForecast-High Prob",
+    "col": "E",
+    "row": 19,
+    "formula": "=DATEDIF(G19,H19,\"M\")+1",
+    "cached_value": 1,
+    "pattern_id": "pf_0008",
+    "layer": 2
+  },
+  {
+    "sheet": "RevForecast-High Prob",
+    "col": "E",
+    "row": 20,
+    "formula": "=DATEDIF(G20,H20,\"M\")+1",
+    "cached_value": 1,
+    "pattern_id": "pf_0008",
+    "layer": 2
+  }
+]

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08717/ground_truth_target.json ADDED Viewed

	@@ -0,0 +1,90 @@

+[
+  {
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+    "formula": "=D10/E10",
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+  {
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+    "formula": "=D13/E13",
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+  },
+  {
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+  {
+    "sheet": "RevForecast-High Prob",
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+    "formula": "=D15/E15",
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+    "pattern_id": "pf_0009"
+  },
+  {
+    "sheet": "RevForecast-High Prob",
+    "col": "F",
+    "row": 16,
+    "formula": "=D16/E16",
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+    "pattern_id": "pf_0009"
+  },
+  {
+    "sheet": "RevForecast-High Prob",
+    "col": "F",
+    "row": 17,
+    "formula": "=D17/E17",
+    "cached_value": 0,
+    "pattern_id": "pf_0009"
+  },
+  {
+    "sheet": "RevForecast-High Prob",
+    "col": "F",
+    "row": 18,
+    "formula": "=D18/E18",
+    "cached_value": 0,
+    "pattern_id": "pf_0009"
+  },
+  {
+    "sheet": "RevForecast-High Prob",
+    "col": "F",
+    "row": 19,
+    "formula": "=D19/E19",
+    "cached_value": 0,
+    "pattern_id": "pf_0009"
+  },
+  {
+    "sheet": "RevForecast-High Prob",
+    "col": "F",
+    "row": 20,
+    "formula": "=D20/E20",
+    "cached_value": 0,
+    "pattern_id": "pf_0009"
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+]

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08717/layers.json ADDED Viewed

	@@ -0,0 +1,87 @@

+{
+  "dag_id": "dag_3afa8c32a7dc",
+  "file_id": "755251d1636734146-spreading-contract-amount-across-months-by-start-end-date-revenuerecoghelp",
+  "category": "single_sheet",
+  "surface_category": "single_sheet",
+  "effective_category": "single_sheet",
+  "depth": 2,
+  "quality": {
+    "chain_error_cells": 0,
+    "chain_external_cells": 0,
+    "is_clean": true
+  },
+  "layers": [
+    {
+      "layer_index": 1,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00091"
+          ],
+          "sheet": "RevForecast-High Prob",
+          "col": "F",
+          "rows": [
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+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20
+          ],
+          "row_ranges": "10-20",
+          "row_count": 11,
+          "pattern_id": "pf_0009",
+          "normalized_pattern": "=[C-2,R]/[C-1,R]",
+          "sample_formula": "=D10/E10"
+        }
+      ],
+      "new_eval_cells": 11,
+      "total_masked_cells": 11
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
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+          "region_ids": [
+            "rg_00090"
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+          "sheet": "RevForecast-High Prob",
+          "col": "E",
+          "rows": [
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+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20
+          ],
+          "row_ranges": "10-20",
+          "row_count": 11,
+          "pattern_id": "pf_0008",
+          "normalized_pattern": "=DATEDIF([C+2,R],[C+3,R],\"M\")+1",
+          "sample_formula": "=DATEDIF(G10,H10,\"M\")+1"
+        }
+      ],
+      "new_eval_cells": 11,
+      "total_masked_cells": 22
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+  ],
+  "sink": {
+    "region_id": "rg_00091",
+    "sheet": "RevForecast-High Prob",
+    "col": "F",
+    "pattern_id": "pf_0009",
+    "row_count": 11,
+    "family_size": 11
+  }
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08717/mask_last.xlsx ADDED Viewed

Binary file (10.5 kB). View file

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08717/nl_task.json ADDED Viewed

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

+{
+  "task_id": "single_sheet__dag_3afa8c32a7dc",
+  "prompt_en": "On the RevForecast-High Prob sheet, the sales revenue forecast is organized around SUMMARY, RevType1, RevType2, RevType3, and Monthly Amount. Please fill in the blank entries in the Monthly Amount column for rows 10 through 20, located in F10:F20. Where related revenue-type fields are blank, make sure they are in place first so the Monthly Amount entries make sense with the rest of the sheet. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "在“RevForecast-High Prob”工作表中，这份销售收入预测围绕 SUMMARY、RevType1、RevType2、RevType3 和 Monthly Amount 等字段整理。请补全 Monthly Amount 列中第 10 行到第 20 行的空白项，位置是 F10:F20。如果相关的收入类型字段也有空白，请先把它们补齐，这样 Monthly Amount 的内容才能与工作表其余部分一致。请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt is minimal and business-contextual, identifies the target sheet and range, mentions the natural prerequisite without explaining operations, and avoids formulas or explicit calculation guidance.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 9,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
+      "operation_words": 0,
+      "cell_range_density": 4,
+      "step_by_step": 5,
+      "column_operation_mapping": 0,
+      "formula_pattern_hints": 0
+    },
+    "operation_words_found": [],
+    "cell_ranges_found": 1
+  },
+  "version": "v7",
+  "model": "gpt-5.5",
+  "elapsed": 85.7,
+  "attempt": 3
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08717/release_qc.json ADDED Viewed

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

+{
+  "binary": true,
+  "binary_reason": "CORRECT — the mask is clean and the dependency chain is reconstructible from visible headers/dates, though the NL prompt is slightly vague about the masked prerequisite column.",
+  "D1": {
+    "score": 5,
+    "reason": "All 22 contract cells are real cells within the sheet range, and the mask diff shows exactly 22 truly masked cells with no extra masking and no unmasked contract cells. The preserved formula/cache-loss entries are an openpyxl artifact and not a masking issue. No visible same-column exemplar makes the E/F formulas trivially copyable."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The ground-truth Monthly Amount formulas are consistent with the source workbook: F10:F20 use =D/E, with E calculated as inclusive month count from start/end dates. Cached values match the expected results, including zeros for blank template rows where D is blank and E evaluates nonzero. The formulas are deterministic."
+  },
+  "D3": {
+    "score": 3,
+    "reason": "The prompt clearly identifies the final target range F10:F20 and the Monthly Amount column. However, it does not explicitly mention the prerequisite Number of months column E10:E20 and instead refers vaguely to 'related revenue-type fields,' which is somewhat misleading because the masked prerequisite is not a revenue-type field."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "Using only mask_last.xlsx and the prompt, the solver can see the relevant table headers: Amount, Number of months, Monthly Amount, Start Date, and End Date. This provides enough structural evidence to infer that Number of months should be derived from Start Date and End Date and that Monthly Amount should be Amount divided by Number of months. The blank template rows add a minor ambiguity for the prerequisite E values, and there is no direct visible exemplar for E/F, but the table structure and adjacent visible data make the chain reasonably reconstructible.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 5,
+    "reason": "The source spreadsheet appears structurally sound: formulas are consistent across the forecast table, headers are meaningful, no phantom references are present, and no circular or broken references are evident from the provided context. Blank future/template rows contain formulas consistently extended through the model."
+  },
+  "D6": {
+    "score": 4,
+    "reason": "The NL request is mostly natural and workplace-like, asking the user to complete the Monthly Amount entries and save the workbook. It is slightly awkward and less natural where it says 'related revenue-type fields' despite the actual prerequisite being Number of months."
+  },
+  "total": 26,
+  "verdict": "RELEASE",
+  "verdict_reason": "The task is publishable: masking is clean, GT is correct, and the formula chain is solvable from visible workbook structure. The only notable weakness is mildly vague/misleading NL around the prerequisite column, but it does not make the task unsolvable.",
+  "frontier_hardness": {
+    "score": 2,
+    "reason": "This is a short single-sheet depth-2 chain with two simple formula patterns and clear adjacent headers/date fields. A frontier model should likely infer Number of months from Start/End Date and Monthly Amount as Amount divided by months. It is not trivially copyable, but it is not especially hard.",
+    "fail_reason": "easy",
+    "is_valid_hardness": false
+  },
+  "_prompt_chars": 34809,
+  "_timing_load_workbooks": 0.06,
+  "_timing_context": 0.0,
+  "_timing_api": 39.74,
+  "local_difficulty": {
+    "difficulty_score": 38.6,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 22,
+    "is_cross_sheet": false,
+    "unique_patterns": 2,
+    "avg_complexity": 5,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.083
+  },
+  "task_id": "single_sheet__dag_3afa8c32a7dc",
+  "elapsed": 39.8,
+  "publish_decision": "YES",
+  "release_tier": "SILVER",
+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08717/src.xlsx ADDED Viewed

Binary file (15.5 kB). View file

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08717/target_contract.json ADDED Viewed

	@@ -0,0 +1,71 @@

+{
+  "task_id": "single_sheet__dag_3afa8c32a7dc",
+  "category": "single_sheet",
+  "depth": 2,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "RevForecast-High Prob",
+        "column": "F",
+        "column_header": "Monthly Amount",
+        "cell_range": "F10:F20",
+        "cell_count": 11,
+        "rows": [
+          10,
+          11,
+          12,
+          13,
+          14,
+          15,
+          16,
+          17,
+          18,
+          19,
+          20
+        ],
+        "first_row_label": "Customer 1",
+        "last_row_label": ""
+      }
+    ],
+    "cell_count": 11,
+    "formula_families": [
+      "arithmetic"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "RevForecast-High Prob",
+          "column": "E",
+          "column_header": "Number of months",
+          "cell_range": "E10:E20",
+          "cell_count": 11,
+          "rows": [
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20
+          ],
+          "first_row_label": "Customer 1",
+          "last_row_label": ""
+        }
+      ],
+      "cell_count": 11
+    }
+  ],
+  "total_prerequisite_cells": 11,
+  "total_masked_cells": 22,
+  "ratio_total_vs_final": 2.0,
+  "sheets_involved": [
+    "RevForecast-High Prob"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08717/task_meta.json ADDED Viewed

	@@ -0,0 +1,37 @@

+{
+  "fcb_id": "FCB-08717",
+  "task_id": "single_sheet__dag_3afa8c32a7dc",
+  "tier": "T4_STANDARD",
+  "category": "single_sheet",
+  "depth": 2,
+  "total_masked": 22,
+  "is_cross_sheet": false,
+  "prompt_en": "On the RevForecast-High Prob sheet, the sales revenue forecast is organized around SUMMARY, RevType1, RevType2, RevType3, and Monthly Amount. Please fill in the blank entries in the Monthly Amount column for rows 10 through 20, located in F10:F20. Where related revenue-type fields are blank, make sure they are in place first so the Monthly Amount entries make sense with the rest of the sheet. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "在“RevForecast-High Prob”工作表中，这份销售收入预测围绕 SUMMARY、RevType1、RevType2、RevType3 和 Monthly Amount 等字段整理。请补全 Monthly Amount 列中第 10 行到第 20 行的空白项，位置是 F10:F20。如果相关的收入类型字段也有空白，请先把它们补齐，这样 Monthly Amount 的内容才能与工作表其余部分一致。请将完成后的工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 26,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 3,
+    "D4": 4,
+    "D5": 5,
+    "D6": 4,
+    "frontier_hardness": 2,
+    "local_difficulty": 38.6
+  },
+  "source_file_id": "755251d1636734146-spreading-contract-amount-across-months-by-start-end-date-revenuerecoghelp",
+  "inferred_domain": "sales",
+  "domain_confidence": 0.5,
+  "sheet_profiles": [
+    {
+      "name": "RevForecast-High Prob",
+      "used_range": "B1:AA35",
+      "row_count": 35,
+      "col_count": 26,
+      "has_header": false,
+      "title_hint": "RevForecast High Prob",
+      "header_info": null
+    }
+  ]
+}

FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08749/layers.json ADDED Viewed

	@@ -0,0 +1,127 @@

+{
+  "dag_id": "dag_3eed9f951c2e",
+  "file_id": "161987d1339687929-graphing-a-large-dataset-datetimevlookup2",
+  "category": "single_sheet",
+  "surface_category": "single_sheet",
+  "effective_category": "single_sheet",
+  "depth": 2,
+  "quality": {
+    "chain_error_cells": 0,
+    "chain_external_cells": 0,
+    "is_clean": true
+  },
+  "layers": [
+    {
+      "layer_index": 1,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00003"
+          ],
+          "sheet": "Sheet1",
+          "col": "N",
+          "rows": [
+            3,
+            4,
+            5,
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            25,
+            26
+          ],
+          "row_ranges": "3-26",
+          "row_count": 24,
+          "pattern_id": "pf_0000",
+          "normalized_pattern": "=INDEX([C-9,$3]:[C-9,$8762],MATCH([$H,$4],[$A,$3]:[$A,$8762],2)+HOUR([$J,R]))",
+          "sample_formula": "=INDEX(E$3:E$8762,MATCH($H$4,$A$3:$A$8762,2)+HOUR($J3))"
+        }
+      ],
+      "new_eval_cells": 24,
+      "total_masked_cells": 24
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00005"
+          ],
+          "sheet": "Sheet1",
+          "col": "H",
+          "rows": [
+            4
+          ],
+          "row_ranges": "4",
+          "row_count": 1,
+          "pattern_id": "pf_0002",
+          "normalized_pattern": "=DATE(2011,MONTH(DATEVALUE(\"1-\"&[$H,$3])),[$H,$2])",
+          "sample_formula": "=DATE(2011,MONTH(DATEVALUE(\"1-\"&$H$3)),$H$2)"
+        },
+        {
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