Add files using upload-large-folder tool

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01955/layers_02_all/layer_01/layer_01_mask_plan.json

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+[
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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01955/layers_02_all/layer_02/layer_02_ground_truth.json

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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01955/layers_02_all/layer_02/layer_02_mask_plan.json

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+[
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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01964/layers_02_all/layer_01/layer_01_ground_truth.json

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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01964/layers_02_all/layer_01/layer_01_mask_plan.json

@@ -0,0 +1,19 @@
+[
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+]

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01964/layers_02_all/layer_02/layer_02_ground_truth.json

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+[
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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-01964/layers_02_all/layer_02/layer_02_mask_plan.json

@@ -0,0 +1,33 @@
+[
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+    "col": "U",
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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02019/layers_02_all/layer_01/layer_01_ground_truth.json

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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02019/layers_02_all/layer_01/layer_01_mask_plan.json

@@ -0,0 +1,30 @@
+[
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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02019/layers_02_all/layer_02/layer_02_ground_truth.json

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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02019/layers_02_all/layer_02/layer_02_mask_plan.json

@@ -0,0 +1,59 @@
+[
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+    "col": "Z",
+    "rows": [
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+      26,
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+      "rg_00430",
+      "rg_00529",
+      "rg_00607",
+      "rg_00652"
+    ]
+  }
+]

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02064/layers_02_all/layer_01/layer_01_ground_truth.json

@@ -0,0 +1,98 @@
+[
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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/audit.json

@@ -0,0 +1,503 @@
+{
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+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
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+          "detail": "mask_last=9393B, src=14972B"
+        },
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+          "pass": true,
+          "detail": "ratio=1.6 (total=28, final=17)"
+        },
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+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
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+          "pass": true,
+          "detail": "17 unique values across 28 cells"
+        },
+        {
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+          "pass": true,
+          "detail": "0 bad values"
+        },
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+          "pass": true,
+          "detail": "clean",
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+          "pass": true,
+          "detail": "clean"
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+          "detail": "output format found",
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+          "detail": "volatile_cells=0",
+          "severity": "OK"
+        },
+        {
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+          "pass": true,
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+      "local_label": "PENDING_NL",
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+              "formula": "=SUMPRODUCT(--(Overview!$B$16:$B$90=Sheet2!$B12)*(Overview!D$16:D$90))"
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+              "missing_dep": "Overview!B20",
+              "formula": "=SUMPRODUCT(--(Overview!$B$16:$B$90=Sheet2!$B13)*(Overview!D$16:D$90))"
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+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/ground_truth_full.json

@@ -0,0 +1,254 @@
+[
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+    "pattern_id": "pf_0000",
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+    "formula": "=SUM(D44:D45)",
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+    "formula": "=SUM(D73:D81)",
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+    "pattern_id": "pf_0009",
+    "layer": 2
+  }
+]

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/ground_truth_target.json

@@ -0,0 +1,138 @@
+[
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+]

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/layers.json

@@ -0,0 +1,194 @@
+{
+  "dag_id": "dag_6aaba94db4e5",
+  "file_id": "117632d1312917652-referencing-group-summary-and-sorting-example1-1-",
+  "category": "cross_sheet",
+  "surface_category": "cross_sheet",
+  "effective_category": "cross_sheet",
+  "depth": 2,
+  "quality": {
+    "chain_error_cells": 0,
+    "chain_external_cells": 0,
+    "is_clean": true
+  },
+  "layers": [
+    {
+      "layer_index": 1,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00001"
+          ],
+          "sheet": "Sheet2",
+          "col": "D",
+          "rows": [
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22
+          ],
+          "row_ranges": "6-22",
+          "row_count": 17,
+          "pattern_id": "pf_0000",
+          "normalized_pattern": "=SUMPRODUCT(--(OVERVIEW![$B,$16]:[$B,$90]=SHEET2![$B,R])*(OVERVIEW![C,$16]:[C,$90]))",
+          "sample_formula": "=SUMPRODUCT(--(Overview!$B$16:$B$90=Sheet2!$B6)*(Overview!D$16:D$90))"
+        }
+      ],
+      "new_eval_cells": 17,
+      "total_masked_cells": 17
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
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+            "rg_00016",
+            "rg_00017"
+          ],
+          "sheet": "Overview",
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+            38
+          ],
+          "row_ranges": "32,38",
+          "row_count": 2,
+          "pattern_id": "pf_0002",
+          "normalized_pattern": "=SUM([C,R-4]:[C,R-1])",
+          "sample_formula": "=SUM(D28:D31)"
+        },
+        {
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+            "rg_00018",
+            "rg_00019"
+          ],
+          "sheet": "Overview",
+          "col": "D",
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+            55,
+            64
+          ],
+          "row_ranges": "55,64",
+          "row_count": 2,
+          "pattern_id": "pf_0003",
+          "normalized_pattern": "=SUM([C,R-8]:[C,R-1])",
+          "sample_formula": "=SUM(D47:D54)"
+        },
+        {
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+            "rg_00020",
+            "rg_00021"
+          ],
+          "sheet": "Overview",
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+          "pattern_id": "pf_0004",
+          "normalized_pattern": "=SUM([C,R-7]:[C,R-1])",
+          "sample_formula": "=SUM(D65:D71)"
+        },
+        {
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+            "rg_00022"
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+          "col": "D",
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+          "pattern_id": "pf_0005",
+          "normalized_pattern": "=SUM([C,R-10]:[C,R-1])",
+          "sample_formula": "=SUM(D6:D15)"
+        },
+        {
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+          ],
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+          "col": "D",
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+          "pattern_id": "pf_0006",
+          "normalized_pattern": "=SUM([C,R-6]:[C,R-1])",
+          "sample_formula": "=SUM(D20:D25)"
+        },
+        {
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+          "col": "D",
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+          "pattern_id": "pf_0007",
+          "normalized_pattern": "=SUM([C,R-3]:[C,R-1])",
+          "sample_formula": "=SUM(D40:D42)"
+        },
+        {
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+            "rg_00025"
+          ],
+          "sheet": "Overview",
+          "col": "D",
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+          "row_ranges": "46",
+          "row_count": 1,
+          "pattern_id": "pf_0008",
+          "normalized_pattern": "=SUM([C,R-2]:[C,R-1])",
+          "sample_formula": "=SUM(D44:D45)"
+        },
+        {
+          "region_ids": [
+            "rg_00026"
+          ],
+          "sheet": "Overview",
+          "col": "D",
+          "rows": [
+            82
+          ],
+          "row_ranges": "82",
+          "row_count": 1,
+          "pattern_id": "pf_0009",
+          "normalized_pattern": "=SUM([C,R-9]:[C,R-1])",
+          "sample_formula": "=SUM(D73:D81)"
+        }
+      ],
+      "new_eval_cells": 11,
+      "total_masked_cells": 28
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00001",
+    "sheet": "Sheet2",
+    "col": "D",
+    "pattern_id": "pf_0000",
+    "row_count": 17,
+    "family_size": 17
+  }
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/nl_task.json

@@ -0,0 +1,26 @@
+{
+  "task_id": "cross_sheet__dag_6aaba94db4e5",
+  "prompt_en": "Sheet2 is an analysis table with columns like ID, Merchant Name, Amount, Sold, Total, and Available, alongside the merchant-by-month layout visible elsewhere in the workbook. Please complete the blank entries in the Sold column on Sheet2, specifically D6:D22. The related monthly merchant figures in the workbook should be in place so the Sheet2 rows are consistent with the rest of the report. When you’re done, please save the completed file as an .xlsx workbook.",
+  "prompt_cn": "Sheet2 是一张分析表，包含 ID、Merchant Name、Amount、Sold、Total 和 Available 等列，工作簿中其他位置还可以看到按 Month 和 Merchant A 到 Merchant D 展开的数据。请补全 Sheet2 中 Sold 列的空白项，具体位置是 D6:D22。工作簿里的相关月度商户数据需要保持完整，这样 Sheet2 的各行才能和整份报表一致。完成后，请将文件保存为 .xlsx 工作簿。",
+  "quality_notes": "The prompt identifies the workbook context, target sheet/column/range, and the natural dependency on related monthly merchant figures without giving calculation or 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": 42.9,
+  "attempt": 2
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/release_qc.json

@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "CORRECT — mask boundary is clean, cells are real, GT is consistent, and the dependency chain is reconstructible from visible cross-sheet formulas and row-group structure.",
+  "D1": {
+    "score": 5,
+    "reason": "All 28 contract cells are real in-sheet cells, with no phantom references. The mask diff shows exactly 28 truly masked cells, no unmasked contract cells, and no extra masked cells. Formula-cache-loss entries are correctly non-issues. Although adjacent Sheet2 columns expose the SUMPRODUCT structure, the overall task is not fully trivial because the masked Overview Sold subtotal cells still require reconstructing the prerequisite layer."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The layer-1 GT formulas consistently aggregate Overview column D by matching merchant names in Overview column B to Sheet2 column B. Cached values align with the visible prerequisite values and subtotal logic, including the masked Overview summary rows. The formulas are deterministic and use fixed ranges with no volatile or ambiguous behavior."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL clearly identifies the final cells to complete, Sheet2!D6:D22, and names the Sold column. It also hints that related monthly merchant figures elsewhere in the workbook must be consistent. Minor weakness: it does not explicitly name the Overview sheet or list the prerequisite cells, so the solver must discover that relationship from workbook evidence."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "Using only mask_last.xlsx and the prompt, the task is solvable. The Sheet2 adjacent columns show the same cross-sheet SUMPRODUCT aggregation pattern for Amount, Total, Available, and Month, making the missing Sold aggregation pattern inferable. The Overview sheet visibly contains merchant summary rows and preceding detail rows in column D, giving a structural clue that the masked merchant Sold cells are subtotals of the visible detail rows above them. The prompt’s mention of related monthly merchant figures supports filling those prerequisite Sold figures. The main gap is that the Overview subtotal rule is implicit rather than directly described or exemplified by an unmasked formula, but it is reasonably inferable from layout and visible data.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 4,
+    "reason": "The source spreadsheet appears structurally sound: formulas are coherent, no circular or broken references are indicated, and the merchant aggregation layout is internally consistent. Sheet2 has meaningful headers. The Overview sheet has a somewhat sparse/report-style layout with blank header area and mixed detail/summary rows, which is less polished but not corrupt or invalid."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The NL sounds like a realistic workplace spreadsheet completion request. It avoids benchmark jargon, names the business-relevant column, and asks for the file to be saved as an .xlsx workbook."
+  },
+  "total": 27,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality chain-masked cross-sheet task. The mask is clean, GT is correct, and the task is hard but solvable from visible workbook structure and the NL prompt. Minor clarity weakness around the unnamed Overview dependency does not block release.",
+  "frontier_hardness": {
+    "score": 3,
+    "reason": "This is moderately hard: it requires cross-sheet reasoning and reconstructing both the Sheet2 aggregation formula and the Overview subtotal prerequisites. However, adjacent Sheet2 formulas strongly reveal the SUMPRODUCT pattern, and the Overview subtotal rows are simple contiguous sums, so a frontier model with spreadsheet reasoning would have a reasonable chance of success.",
+    "fail_reason": "cross_sheet_multi_hop",
+    "is_valid_hardness": true
+  },
+  "_prompt_chars": 33557,
+  "_timing_load_workbooks": 0.04,
+  "_timing_context": 0.0,
+  "_timing_api": 176.03,
+  "local_difficulty": {
+    "difficulty_score": 62.6,
+    "difficulty": "hard",
+    "depth": 2,
+    "total_masked": 28,
+    "is_cross_sheet": true,
+    "unique_patterns": 2,
+    "avg_complexity": 7,
+    "cross_refs": 34,
+    "visible_exemplar_ratio": 0.056
+  },
+  "task_id": "cross_sheet__dag_6aaba94db4e5",
+  "elapsed": 176.1,
+  "publish_decision": "YES",
+  "release_tier": "GOLD",
+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/target_contract.json

@@ -0,0 +1,78 @@
+{
+  "task_id": "cross_sheet__dag_6aaba94db4e5",
+  "category": "cross_sheet",
+  "depth": 2,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "Sheet2",
+        "column": "D",
+        "column_header": "Sold",
+        "cell_range": "D6:D22",
+        "cell_count": 17,
+        "rows": [
+          6,
+          7,
+          8,
+          9,
+          10,
+          11,
+          12,
+          13,
+          14,
+          15,
+          16,
+          17,
+          18,
+          19,
+          20,
+          21,
+          22
+        ],
+        "first_row_label": "Merchant A",
+        "last_row_label": "Merchant Q"
+      }
+    ],
+    "cell_count": 17,
+    "formula_families": [
+      "aggregation"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Overview",
+          "column": "D",
+          "column_header": "Sold",
+          "cell_range": "D16, D26, D32, D38, D43, D46, D55, D64, D72, D82, D90",
+          "cell_count": 11,
+          "rows": [
+            16,
+            26,
+            32,
+            38,
+            43,
+            46,
+            55,
+            64,
+            72,
+            82,
+            90
+          ],
+          "first_row_label": "Merchant A",
+          "last_row_label": "Merchant Q"
+        }
+      ],
+      "cell_count": 11
+    }
+  ],
+  "total_prerequisite_cells": 11,
+  "total_masked_cells": 28,
+  "ratio_total_vs_final": 1.6,
+  "sheets_involved": [
+    "Overview",
+    "Sheet2"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/task_meta.json

@@ -0,0 +1,46 @@
+{
+  "fcb_id": "FCB-04221",
+  "task_id": "cross_sheet__dag_6aaba94db4e5",
+  "tier": "T3_MEDIUM",
+  "category": "cross_sheet",
+  "depth": 2,
+  "total_masked": 28,
+  "is_cross_sheet": true,
+  "prompt_en": "Sheet2 is an analysis table with columns like ID, Merchant Name, Amount, Sold, Total, and Available, alongside the merchant-by-month layout visible elsewhere in the workbook. Please complete the blank entries in the Sold column on Sheet2, specifically D6:D22. The related monthly merchant figures in the workbook should be in place so the Sheet2 rows are consistent with the rest of the report. When you’re done, please save the completed file as an .xlsx workbook.",
+  "prompt_cn": "Sheet2 是一张分析表，包含 ID、Merchant Name、Amount、Sold、Total 和 Available 等列，工作簿中其他位置还可以看到按 Month 和 Merchant A 到 Merchant D 展开的数据。请补全 Sheet2 中 Sold 列的空白项，具体位置是 D6:D22。工作簿里的相关月度商户数据需要保持完整，这样 Sheet2 的各行才能和整份报表一致。完成后，请将文件保存为 .xlsx 工作簿。",
+  "qc": {
+    "total": 27,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 4,
+    "D4": 4,
+    "D5": 4,
+    "D6": 5,
+    "frontier_hardness": 3,
+    "local_difficulty": 62.6
+  },
+  "source_file_id": "117632d1312917652-referencing-group-summary-and-sorting-example1-1-",
+  "inferred_domain": "data_analysis",
+  "domain_confidence": 0.25,
+  "sheet_profiles": [
+    {
+      "name": "Overview",
+      "used_range": "A3:G90",
+      "row_count": 88,
+      "col_count": 7,
+      "has_header": false,
+      "title_hint": "Overview",
+      "header_info": null
+    },
+    {
+      "name": "Sheet2",
+      "used_range": "A1:G22",
+      "row_count": 22,
+      "col_count": 7,
+      "has_header": false,
+      "title_hint": "Sheet2",
+      "header_info": null
+    }
+  ]
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/audit.json

@@ -0,0 +1,423 @@
+{
+  "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=43209B, src=57938B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=5.0 (total=50, final=10)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "10 unique values across 50 cells"
+        },
+        {
+          "check": "tail_artifact",
+          "pass": true,
+          "detail": "0 bad values"
+        },
+        {
+          "check": "unrecoverable_leaf",
+          "pass": true,
+          "detail": "clean",
+          "hidden_const_cells": []
+        },
+        {
+          "check": "adjacent_column_leak",
+          "pass": true,
+          "detail": "leaked: Citigroup Rate Max AD&D Life!W→Citigroup Rate Chart!W(40/40)"
+        },
+        {
+          "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=5, prompt=1, missing=4",
+          "missing_ranges": [
+            "W17:W26",
+            "W28:W37",
+            "W39:W48",
+            "W6:W15"
+          ],
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "cell_count_match",
+          "pass": true,
+          "detail": "no explicit total found; skipping (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "step_count_match",
+          "pass": true,
+          "detail": "contract=1, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": false,
+          "detail": "contract=['Citigroup Rate Chart', 'LTD'], missing=['Citigroup Rate Chart']",
+          "severity": "INFO"
+        },
+        {
+          "check": "no_formula_leak",
+          "pass": true,
+          "detail": "0 formula leaks",
+          "severity": "OK"
+        },
+        {
+          "check": "no_value_leak",
+          "pass": true,
+          "detail": "0 value leaks out of 10 GT cells",
+          "severity": "OK"
+        },
+        {
+          "check": "final_target_first",
+          "pass": true,
+          "detail": "no explicit final target marker (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "output_format",
+          "pass": true,
+          "detail": "output format found",
+          "severity": "OK"
+        },
+        {
+          "check": "header_in_prompt",
+          "pass": true,
+          "detail": "no column headers found in prompt",
+          "severity": "OK"
+        },
+        {
+          "check": "hint_specificity",
+          "pass": true,
+          "detail": "clean",
+          "severity": "OK"
+        },
+        {
+          "check": "evidence_scope",
+          "pass": false,
+          "detail": "referenced=2 mentioned=0 missing=2 [Citigroup Rate Chart, Dental & Other Rates]",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 2 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 50 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": 50,
+      "total_non_none": 50,
+      "block_reasons": [],
+      "warnings": [
+        "mixed_gt_types:{'float': 15, 'int': 35}"
+      ],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "float": 15,
+            "int": 35
+          },
+          "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": 50
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 50,
+      "total_masked": 50,
+      "total_visible": 2236,
+      "depth": 2,
+      "block_reasons": [],
+      "warnings": [],
+      "checks": {
+        "broken_chains": {
+          "count": 0,
+          "checked": 50,
+          "details": []
+        },
+        "orphan_masks": {
+          "count": 0,
+          "details": []
+        },
+        "self_contained": {
+          "missing_sheets": []
+        }
+      }
+    },
+    "exemplar": {
+      "soft_block": false,
+      "block_reasons": [],
+      "checks": {
+        "pattern_coverage": {
+          "pass": true,
+          "total_gt_patterns": 2,
+          "total_src_patterns": 18,
+          "zero_exemplar_count": 0,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "SUM": {
+            "total_masked": 40,
+            "visible_exemplars": 994
+          },
+          "reference": {
+            "total_masked": 10,
+            "visible_exemplars": 2
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.2,
+      "flags": [
+        {
+          "code": "SC3",
+          "description": "Copy-from-visible: 5/50 GT cells have nearby visible formula clones",
+          "affected_cells": 5,
+          "severity": "low"
+        }
+      ]
+    },
+    "release_audit": {
+      "surface_single_sheet": false,
+      "surface_sheets": [
+        "Citigroup Rate Chart",
+        "LTD"
+      ],
+      "cross_sheet_actual": true,
+      "cross_sheet_ref_count": 50,
+      "referenced_sheets": [
+        "Citigroup Rate Chart",
+        "Dental & Other Rates"
+      ],
+      "target_shape": "single_column_series",
+      "layer_sizes": [
+        10,
+        40
+      ],
+      "mask_last_total_cells": 50,
+      "layer_growth_ratios": [
+        4.0
+      ],
+      "pattern_dominance_ratio": 0.24,
+      "visible_clone_regions": 16,
+      "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_7ad6495c8978",
+    "difficulty_score": 63.1,
+    "difficulty": "hard",
+    "depth": 2,
+    "total_masked": 50,
+    "is_cross_sheet": true,
+    "unique_patterns": 2,
+    "avg_complexity": 7.0,
+    "cross_refs": 50,
+    "visible_exemplar_ratio": 0.167,
+    "score_breakdown": {
+      "depth": 7,
+      "cross_sheet": 10,
+      "cell_count": 11.3,
+      "patterns": 6,
+      "complexity": 10.5,
+      "cross_refs": 10,
+      "vis_penalty": 8.3
+    }
+  }
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/ground_truth_full.json

@@ -0,0 +1,452 @@
+[
+  {
+    "sheet": "LTD",
+    "col": "C",
+    "row": 4,
+    "formula": "='Citigroup Rate Chart'!W6",
+    "cached_value": 7.8,
+    "pattern_id": "pf_0021",
+    "layer": 1
+  },
+  {
+    "sheet": "LTD",
+    "col": "C",
+    "row": 5,
+    "formula": "='Citigroup Rate Chart'!W7",
+    "cached_value": 8.125,
+    "pattern_id": "pf_0021",
+    "layer": 1
+  },
+  {
+    "sheet": "LTD",
+    "col": "C",
+    "row": 6,
+    "formula": "='Citigroup Rate Chart'!W8",
+    "cached_value": 13,
+    "pattern_id": "pf_0021",
+    "layer": 1
+  },
+  {
+    "sheet": "LTD",
+    "col": "C",
+    "row": 7,
+    "formula": "='Citigroup Rate Chart'!W9",
+    "cached_value": 27,
+    "pattern_id": "pf_0021",
+    "layer": 1
+  },
+  {
+    "sheet": "LTD",
+    "col": "C",
+    "row": 8,
+    "formula": "='Citigroup Rate Chart'!W10",
+    "cached_value": 36,
+    "pattern_id": "pf_0021",
+    "layer": 1
+  },
+  {
+    "sheet": "LTD",
+    "col": "C",
+    "row": 9,
+    "formula": "='Citigroup Rate Chart'!W11",
+    "cached_value": 45,
+    "pattern_id": "pf_0021",
+    "layer": 1
+  },
+  {
+    "sheet": "LTD",
+    "col": "C",
+    "row": 10,
+    "formula": "='Citigroup Rate Chart'!W12",
+    "cached_value": 105,
+    "pattern_id": "pf_0021",
+    "layer": 1
+  },
+  {
+    "sheet": "LTD",
+    "col": "C",
+    "row": 11,
+    "formula": "='Citigroup Rate Chart'!W13",
+    "cached_value": 140,
+    "pattern_id": "pf_0021",
+    "layer": 1
+  },
+  {
+    "sheet": "LTD",
+    "col": "C",
+    "row": 12,
+    "formula": "='Citigroup Rate Chart'!W14",
+    "cached_value": 235,
+    "pattern_id": "pf_0021",
+    "layer": 1
+  },
+  {
+    "sheet": "LTD",
+    "col": "C",
+    "row": 13,
+    "formula": "='Citigroup Rate Chart'!W15",
+    "cached_value": 391.6666666666667,
+    "pattern_id": "pf_0021",
+    "layer": 1
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 6,
+    "formula": "=SUM(A6/$W$4*'Dental & Other Rates'!$B$39/12)",
+    "cached_value": 7.8,
+    "pattern_id": "pf_0017",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 7,
+    "formula": "=SUM(A7/$W$4*'Dental & Other Rates'!$B$39/12)",
+    "cached_value": 8.125,
+    "pattern_id": "pf_0017",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 8,
+    "formula": "=SUM(A8/$W$4*'Dental & Other Rates'!$B$39/12)",
+    "cached_value": 13,
+    "pattern_id": "pf_0017",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 17,
+    "formula": "=SUM(A17/$W$4*'Dental & Other Rates'!$B$39/12)",
+    "cached_value": 7.8,
+    "pattern_id": "pf_0017",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 18,
+    "formula": "=SUM(A18/$W$4*'Dental & Other Rates'!$B$39/12)",
+    "cached_value": 8.125,
+    "pattern_id": "pf_0017",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 19,
+    "formula": "=SUM(A19/$W$4*'Dental & Other Rates'!$B$39/12)",
+    "cached_value": 13,
+    "pattern_id": "pf_0017",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 28,
+    "formula": "=SUM(A28/$W$4*'Dental & Other Rates'!$B$39/12)",
+    "cached_value": 7.8,
+    "pattern_id": "pf_0017",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 29,
+    "formula": "=SUM(A29/$W$4*'Dental & Other Rates'!$B$39/12)",
+    "cached_value": 8.125,
+    "pattern_id": "pf_0017",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 30,
+    "formula": "=SUM(A30/$W$4*'Dental & Other Rates'!$B$39/12)",
+    "cached_value": 13,
+    "pattern_id": "pf_0017",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 39,
+    "formula": "=SUM(A39/$W$4*'Dental & Other Rates'!$B$39/12)",
+    "cached_value": 7.8,
+    "pattern_id": "pf_0017",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 40,
+    "formula": "=SUM(A40/$W$4*'Dental & Other Rates'!$B$39/12)",
+    "cached_value": 8.125,
+    "pattern_id": "pf_0017",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 41,
+    "formula": "=SUM(A41/$W$4*'Dental & Other Rates'!$B$39/12)",
+    "cached_value": 13,
+    "pattern_id": "pf_0017",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 9,
+    "formula": "=SUM(A9/$W$4*'Dental & Other Rates'!$B$40/12)",
+    "cached_value": 27,
+    "pattern_id": "pf_0018",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 10,
+    "formula": "=SUM(A10/$W$4*'Dental & Other Rates'!$B$40/12)",
+    "cached_value": 36,
+    "pattern_id": "pf_0018",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 11,
+    "formula": "=SUM(A11/$W$4*'Dental & Other Rates'!$B$40/12)",
+    "cached_value": 45,
+    "pattern_id": "pf_0018",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 20,
+    "formula": "=SUM(A20/$W$4*'Dental & Other Rates'!$B$40/12)",
+    "cached_value": 27,
+    "pattern_id": "pf_0018",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 21,
+    "formula": "=SUM(A21/$W$4*'Dental & Other Rates'!$B$40/12)",
+    "cached_value": 36,
+    "pattern_id": "pf_0018",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 22,
+    "formula": "=SUM(A22/$W$4*'Dental & Other Rates'!$B$40/12)",
+    "cached_value": 45,
+    "pattern_id": "pf_0018",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 31,
+    "formula": "=SUM(A31/$W$4*'Dental & Other Rates'!$B$40/12)",
+    "cached_value": 27,
+    "pattern_id": "pf_0018",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 32,
+    "formula": "=SUM(A32/$W$4*'Dental & Other Rates'!$B$40/12)",
+    "cached_value": 36,
+    "pattern_id": "pf_0018",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 33,
+    "formula": "=SUM(A33/$W$4*'Dental & Other Rates'!$B$40/12)",
+    "cached_value": 45,
+    "pattern_id": "pf_0018",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 42,
+    "formula": "=SUM(A42/$W$4*'Dental & Other Rates'!$B$40/12)",
+    "cached_value": 27,
+    "pattern_id": "pf_0018",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 43,
+    "formula": "=SUM(A43/$W$4*'Dental & Other Rates'!$B$40/12)",
+    "cached_value": 36,
+    "pattern_id": "pf_0018",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 44,
+    "formula": "=SUM(A44/$W$4*'Dental & Other Rates'!$B$40/12)",
+    "cached_value": 45,
+    "pattern_id": "pf_0018",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 12,
+    "formula": "=SUM(A12/$W$4*'Dental & Other Rates'!$B$41/12)",
+    "cached_value": 105,
+    "pattern_id": "pf_0019",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 13,
+    "formula": "=SUM(A13/$W$4*'Dental & Other Rates'!$B$41/12)",
+    "cached_value": 140,
+    "pattern_id": "pf_0019",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 23,
+    "formula": "=SUM(A23/$W$4*'Dental & Other Rates'!$B$41/12)",
+    "cached_value": 105,
+    "pattern_id": "pf_0019",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 24,
+    "formula": "=SUM(A24/$W$4*'Dental & Other Rates'!$B$41/12)",
+    "cached_value": 140,
+    "pattern_id": "pf_0019",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 34,
+    "formula": "=SUM(A34/$W$4*'Dental & Other Rates'!$B$41/12)",
+    "cached_value": 105,
+    "pattern_id": "pf_0019",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 35,
+    "formula": "=SUM(A35/$W$4*'Dental & Other Rates'!$B$41/12)",
+    "cached_value": 140,
+    "pattern_id": "pf_0019",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 45,
+    "formula": "=SUM(A45/$W$4*'Dental & Other Rates'!$B$41/12)",
+    "cached_value": 105,
+    "pattern_id": "pf_0019",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 46,
+    "formula": "=SUM(A46/$W$4*'Dental & Other Rates'!$B$41/12)",
+    "cached_value": 140,
+    "pattern_id": "pf_0019",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 14,
+    "formula": "=SUM(A14/$W$4*'Dental & Other Rates'!$B$42/12)",
+    "cached_value": 235,
+    "pattern_id": "pf_0020",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 15,
+    "formula": "=SUM(A15/$W$4*'Dental & Other Rates'!$B$42/12)",
+    "cached_value": 391.6666666666667,
+    "pattern_id": "pf_0020",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 25,
+    "formula": "=SUM(A25/$W$4*'Dental & Other Rates'!$B$42/12)",
+    "cached_value": 235,
+    "pattern_id": "pf_0020",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 26,
+    "formula": "=SUM(A26/$W$4*'Dental & Other Rates'!$B$42/12)",
+    "cached_value": 391.6666666666667,
+    "pattern_id": "pf_0020",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 36,
+    "formula": "=SUM(A36/$W$4*'Dental & Other Rates'!$B$42/12)",
+    "cached_value": 235,
+    "pattern_id": "pf_0020",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 37,
+    "formula": "=SUM(A37/$W$4*'Dental & Other Rates'!$B$42/12)",
+    "cached_value": 391.6666666666667,
+    "pattern_id": "pf_0020",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 47,
+    "formula": "=SUM(A47/$W$4*'Dental & Other Rates'!$B$42/12)",
+    "cached_value": 235,
+    "pattern_id": "pf_0020",
+    "layer": 2
+  },
+  {
+    "sheet": "Citigroup Rate Chart",
+    "col": "W",
+    "row": 48,
+    "formula": "=SUM(A48/$W$4*'Dental & Other Rates'!$B$42/12)",
+    "cached_value": 391.6666666666667,
+    "pattern_id": "pf_0020",
+    "layer": 2
+  }
+]

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/ground_truth_target.json

@@ -0,0 +1,82 @@
+[
+  {
+    "sheet": "LTD",
+    "col": "C",
+    "row": 4,
+    "formula": "='Citigroup Rate Chart'!W6",
+    "cached_value": 7.8,
+    "pattern_id": "pf_0021"
+  },
+  {
+    "sheet": "LTD",
+    "col": "C",
+    "row": 5,
+    "formula": "='Citigroup Rate Chart'!W7",
+    "cached_value": 8.125,
+    "pattern_id": "pf_0021"
+  },
+  {
+    "sheet": "LTD",
+    "col": "C",
+    "row": 6,
+    "formula": "='Citigroup Rate Chart'!W8",
+    "cached_value": 13,
+    "pattern_id": "pf_0021"
+  },
+  {
+    "sheet": "LTD",
+    "col": "C",
+    "row": 7,
+    "formula": "='Citigroup Rate Chart'!W9",
+    "cached_value": 27,
+    "pattern_id": "pf_0021"
+  },
+  {
+    "sheet": "LTD",
+    "col": "C",
+    "row": 8,
+    "formula": "='Citigroup Rate Chart'!W10",
+    "cached_value": 36,
+    "pattern_id": "pf_0021"
+  },
+  {
+    "sheet": "LTD",
+    "col": "C",
+    "row": 9,
+    "formula": "='Citigroup Rate Chart'!W11",
+    "cached_value": 45,
+    "pattern_id": "pf_0021"
+  },
+  {
+    "sheet": "LTD",
+    "col": "C",
+    "row": 10,
+    "formula": "='Citigroup Rate Chart'!W12",
+    "cached_value": 105,
+    "pattern_id": "pf_0021"
+  },
+  {
+    "sheet": "LTD",
+    "col": "C",
+    "row": 11,
+    "formula": "='Citigroup Rate Chart'!W13",
+    "cached_value": 140,
+    "pattern_id": "pf_0021"
+  },
+  {
+    "sheet": "LTD",
+    "col": "C",
+    "row": 12,
+    "formula": "='Citigroup Rate Chart'!W14",
+    "cached_value": 235,
+    "pattern_id": "pf_0021"
+  },
+  {
+    "sheet": "LTD",
+    "col": "C",
+    "row": 13,
+    "formula": "='Citigroup Rate Chart'!W15",
+    "cached_value": 391.6666666666667,
+    "pattern_id": "pf_0021"
+  }
+]

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/layers.json

@@ -0,0 +1,169 @@
+{
+  "dag_id": "dag_7ad6495c8978",
+  "file_id": "louise_kitchen__22821__Hardship Rates",
+  "category": "cross_sheet",
+  "surface_category": "cross_sheet",
+  "effective_category": "cross_sheet",
+  "depth": 2,
+  "quality": {
+    "chain_error_cells": 0,
+    "chain_external_cells": 0,
+    "is_clean": true
+  },
+  "layers": [
+    {
+      "layer_index": 1,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00128"
+          ],
+          "sheet": "LTD",
+          "col": "C",
+          "rows": [
+            4,
+            5,
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13
+          ],
+          "row_ranges": "4-13",
+          "row_count": 10,
+          "pattern_id": "pf_0021",
+          "normalized_pattern": "='CITIGROUPRATECHART'![C+20,R+2]",
+          "sample_formula": "='Citigroup Rate Chart'!W6"
+        }
+      ],
+      "new_eval_cells": 10,
+      "total_masked_cells": 10
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00096",
+            "rg_00097",
+            "rg_00098",
+            "rg_00099"
+          ],
+          "sheet": "Citigroup Rate Chart",
+          "col": "W",
+          "rows": [
+            6,
+            7,
+            8,
+            17,
+            18,
+            19,
+            28,
+            29,
+            30,
+            39,
+            40,
+            41
+          ],
+          "row_ranges": "6-8,17-19,28-30,39-41",
+          "row_count": 12,
+          "pattern_id": "pf_0017",
+          "normalized_pattern": "=SUM([C-22,R]/[$W,$4]*'DENTAL&OTHERRATES'![$B,$39]/12)",
+          "sample_formula": "=SUM(A6/$W$4*'Dental & Other Rates'!$B$39/12)"
+        },
+        {
+          "region_ids": [
+            "rg_00104",
+            "rg_00105",
+            "rg_00106",
+            "rg_00107"
+          ],
+          "sheet": "Citigroup Rate Chart",
+          "col": "W",
+          "rows": [
+            9,
+            10,
+            11,
+            20,
+            21,
+            22,
+            31,
+            32,
+            33,
+            42,
+            43,
+            44
+          ],
+          "row_ranges": "9-11,20-22,31-33,42-44",
+          "row_count": 12,
+          "pattern_id": "pf_0018",
+          "normalized_pattern": "=SUM([C-22,R]/[$W,$4]*'DENTAL&OTHERRATES'![$B,$40]/12)",
+          "sample_formula": "=SUM(A9/$W$4*'Dental & Other Rates'!$B$40/12)"
+        },
+        {
+          "region_ids": [
+            "rg_00112",
+            "rg_00113",
+            "rg_00114",
+            "rg_00115"
+          ],
+          "sheet": "Citigroup Rate Chart",
+          "col": "W",
+          "rows": [
+            12,
+            13,
+            23,
+            24,
+            34,
+            35,
+            45,
+            46
+          ],
+          "row_ranges": "12-13,23-24,34-35,45-46",
+          "row_count": 8,
+          "pattern_id": "pf_0019",
+          "normalized_pattern": "=SUM([C-22,R]/[$W,$4]*'DENTAL&OTHERRATES'![$B,$41]/12)",
+          "sample_formula": "=SUM(A12/$W$4*'Dental & Other Rates'!$B$41/12)"
+        },
+        {
+          "region_ids": [
+            "rg_00120",
+            "rg_00121",
+            "rg_00122",
+            "rg_00123"
+          ],
+          "sheet": "Citigroup Rate Chart",
+          "col": "W",
+          "rows": [
+            14,
+            15,
+            25,
+            26,
+            36,
+            37,
+            47,
+            48
+          ],
+          "row_ranges": "14-15,25-26,36-37,47-48",
+          "row_count": 8,
+          "pattern_id": "pf_0020",
+          "normalized_pattern": "=SUM([C-22,R]/[$W,$4]*'DENTAL&OTHERRATES'![$B,$42]/12)",
+          "sample_formula": "=SUM(A14/$W$4*'Dental & Other Rates'!$B$42/12)"
+        }
+      ],
+      "new_eval_cells": 40,
+      "total_masked_cells": 50
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00128",
+    "sheet": "LTD",
+    "col": "C",
+    "pattern_id": "pf_0021",
+    "row_count": 10,
+    "family_size": 10
+  }
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/nl_task.json

@@ -0,0 +1,26 @@
+{
+  "task_id": "cross_sheet__dag_7ad6495c8978",
+  "prompt_en": "The HR benefits workbook has plan sections such as MEDICAL PLANS, Dental Plans, Vision Plan, and an LTD sheet used alongside payroll processing details like Coverage Level and Employee Only. On the LTD sheet, please fill in the blank entries in the \"LTD Monthly Premium Per $1000\" column, specifically cells C4:C13. Some blank benefit-plan fields in the workbook naturally feed into other blank fields, so make sure the related figures are in place before finalizing the LTD column. Please save the completed file as an .xlsx workbook.",
+  "prompt_cn": "这份人力资源福利工作簿包含 MEDICAL PLANS、Dental Plans、Vision Plan 等计划板块，以及与薪资处理相关的 LTD 工作表，里面还能看到 Coverage Level、Employee Only 等信息。请在 LTD 工作表中补全 “LTD Monthly Premium Per $1000” 这一列的空白项，位置是 C4:C13。工作簿里有些空白的福利计划字段会自然影响其他空白字段，所以在确认 LTD 列之前，请确保相关数字也已经补齐。请将完成后的文件保存为 .xlsx 工作簿。",
+  "quality_notes": "The prompt names the relevant sheet, column, and range, frames the HR/payroll benefits context using visible labels only, and avoids formulas or operational 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": 36.0,
+  "attempt": 1
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/release_qc.json

@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "CORRECT: the mask is clean and the cross-sheet dependency chain appears reconstructible from visible workbook structure, though the NL prompt is somewhat vague about prerequisite sheets.",
+  "D1": {
+    "score": 5,
+    "reason": "All 50 contract cells are truly masked, there are no extra masked cells, no contract cells left unmasked, and no phantom ranges beyond the sheet dimensions. Formula-cache-loss artifacts are correctly outside the true mask count. Visible exemplars/structural clues do not appear to make the task trivially row-copyable without reasoning through the cross-sheet dependency."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The layer-1 ground-truth formulas consistently link LTD!C4:C13 to Citigroup Rate Chart!W6:W15, matching the visible LTD headers and cached values. The formulas are deterministic cross-sheet references with no ambiguity or volatile behavior."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The prompt clearly identifies the target sheet, column, and exact cells C4:C13 to fill. It also warns that related blank fields feed other blanks. However, it does not explicitly name the Citigroup Rate Chart or Dental & Other Rates prerequisite sources, so the dependency-discovery portion is only indirectly described."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "From mask_last.xlsx and the NL prompt, the final LTD cells are identifiable: LTD!C1 and C3 visibly reference Citigroup Rate Chart W2/W4, strongly indicating C4:C13 should draw from the corresponding W6:W15 rate rows. The prerequisite W column has visible headers, constants such as W4=1000 and W3/W16/W27/W38=60%, adjacent row structures, and workbook sheets containing related Citigroup rate data. The solver must still infer the exact prerequisite calculation and source-rate rows, especially because the NL does not name the referenced sheets, but the workbook provides enough structural evidence for reconstruction with effort.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 5,
+    "reason": "The source workbook appears internally consistent: meaningful headers, coherent benefits-rate sheets, deterministic formulas, no indicated circular references, broken formulas, corrupted values, or chain errors. The cached values align with the formulas shown in the provided source context."
+  },
+  "D6": {
+    "score": 4,
+    "reason": "The request sounds reasonably like a workplace HR/benefits spreadsheet task and avoids overt benchmark jargon. The phrase about blank fields feeding other blank fields is slightly artificial, but still understandable in context."
+  },
+  "total": 27,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality cross-sheet chain-masking task with clean mask boundaries, correct ground truth, and sufficient visible workbook evidence. The only notable weakness is that the NL prompt is somewhat indirect about the prerequisite sheets, but this is not a fundamental solvability issue.",
+  "frontier_hardness": {
+    "score": 3,
+    "reason": "The task is moderately hard because it requires cross-sheet dependency reconstruction and filling both prerequisite and final cells, but the chain depth is only 2 and there are only two main formula patterns. A frontier model may struggle with locating and applying the prerequisite rate logic, but the workbook structure provides enough clues.",
+    "fail_reason": "cross_sheet_multi_hop",
+    "is_valid_hardness": true
+  },
+  "_prompt_chars": 32631,
+  "_timing_load_workbooks": 0.34,
+  "_timing_context": 0.01,
+  "_timing_api": 58.01,
+  "local_difficulty": {
+    "difficulty_score": 63.1,
+    "difficulty": "hard",
+    "depth": 2,
+    "total_masked": 50,
+    "is_cross_sheet": true,
+    "unique_patterns": 2,
+    "avg_complexity": 7,
+    "cross_refs": 50,
+    "visible_exemplar_ratio": 0.167
+  },
+  "task_id": "cross_sheet__dag_7ad6495c8978",
+  "elapsed": 58.4,
+  "publish_decision": "YES",
+  "release_tier": "GOLD",
+  "hard_block_reasons": []
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/target_contract.json

@@ -0,0 +1,98 @@
+{
+  "task_id": "cross_sheet__dag_7ad6495c8978",
+  "category": "cross_sheet",
+  "depth": 2,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "LTD",
+        "column": "C",
+        "column_header": "LTD Monthly Premium Per $1000",
+        "cell_range": "C4:C13",
+        "cell_count": 10,
+        "rows": [
+          4,
+          5,
+          6,
+          7,
+          8,
+          9,
+          10,
+          11,
+          12,
+          13
+        ],
+        "first_row_label": "<25,000",
+        "last_row_label": ">500,000"
+      }
+    ],
+    "cell_count": 10,
+    "formula_families": []
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Citigroup Rate Chart",
+          "column": "W",
+          "column_header": "60%",
+          "cell_range": "W6:W15, W17:W26, W28:W37, W39:W48",
+          "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
+    }
+  ],
+  "total_prerequisite_cells": 40,
+  "total_masked_cells": 50,
+  "ratio_total_vs_final": 5.0,
+  "sheets_involved": [
+    "Citigroup Rate Chart",
+    "LTD"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/task_meta.json

@@ -0,0 +1,111 @@
+{
+  "fcb_id": "FCB-04240",
+  "task_id": "cross_sheet__dag_7ad6495c8978",
+  "tier": "T3_MEDIUM",
+  "category": "cross_sheet",
+  "depth": 2,
+  "total_masked": 50,
+  "is_cross_sheet": true,
+  "prompt_en": "The HR benefits workbook has plan sections such as MEDICAL PLANS, Dental Plans, Vision Plan, and an LTD sheet used alongside payroll processing details like Coverage Level and Employee Only. On the LTD sheet, please fill in the blank entries in the \"LTD Monthly Premium Per $1000\" column, specifically cells C4:C13. Some blank benefit-plan fields in the workbook naturally feed into other blank fields, so make sure the related figures are in place before finalizing the LTD column. Please save the completed file as an .xlsx workbook.",
+  "prompt_cn": "这份人力资源福利工作簿包含 MEDICAL PLANS、Dental Plans、Vision Plan 等计划板块，以及与薪资处理相关的 LTD 工作表，里面还能看到 Coverage Level、Employee Only 等信息。请在 LTD 工作表中补全 “LTD Monthly Premium Per $1000” 这一列的空白项，位置是 C4:C13。工作簿里有些空白的福利计划字段会自然影响其他空白字段，所以在确认 LTD 列之前，请确保相关数字也已经补齐。请将完成后的文件保存为 .xlsx 工作簿。",
+  "qc": {
+    "total": 27,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 4,
+    "D4": 4,
+    "D5": 5,
+    "D6": 4,
+    "frontier_hardness": 3,
+    "local_difficulty": 63.1
+  },
+  "source_file_id": "louise_kitchen__22821__Hardship Rates",
+  "inferred_domain": "hr",
+  "domain_confidence": 0.25,
+  "sheet_profiles": [
+    {
+      "name": "Enron Rate Chart",
+      "used_range": "A1:AE49",
+      "row_count": 49,
+      "col_count": 31,
+      "has_header": false,
+      "title_hint": "Enron Rate Chart",
+      "header_info": null
+    },
+    {
+      "name": "Citigroup Rate Chart",
+      "used_range": "A1:AB49",
+      "row_count": 49,
+      "col_count": 28,
+      "has_header": false,
+      "title_hint": "Citigroup Rate Chart",
+      "header_info": null
+    },
+    {
+      "name": "Citigroup Rate Max AD&D Life",
+      "used_range": "A1:AB49",
+      "row_count": 49,
+      "col_count": 28,
+      "has_header": false,
+      "title_hint": "Citigroup Rate Max AD&D Life",
+      "header_info": null
+    },
+    {
+      "name": "Citigroup Medical Rates",
+      "used_range": "A1:F45",
+      "row_count": 45,
+      "col_count": 6,
+      "has_header": true,
+      "title_hint": "Citigroup Medical Rates",
+      "header_info": {
+        "sheet": "Citigroup Medical Rates",
+        "header_row": 1,
+        "headers": {
+          "A": "Coverage Level",
+          "B": "Point-of-Service Out of Area CIGNA International",
+          "C": "Health Plan 2000",
+          "D": "HMO A",
+          "E": "HMO B",
+          "F": "HMO C"
+        }
+      }
+    },
+    {
+      "name": "LTD",
+      "used_range": "A1:E15",
+      "row_count": 15,
+      "col_count": 5,
+      "has_header": true,
+      "title_hint": "LTD",
+      "header_info": {
+        "sheet": "LTD",
+        "header_row": 1,
+        "headers": {
+          "B": "[Person_1]",
+          "C": "LTD Monthly Premium Per $1000",
+          "D": "LTD Monthly After TaxBenefit",
+          "E": "LTD Rate is 60%"
+        }
+      }
+    },
+    {
+      "name": "Enron Rates",
+      "used_range": "A1:C30",
+      "row_count": 30,
+      "col_count": 3,
+      "has_header": false,
+      "title_hint": "Enron Rates",
+      "header_info": null
+    },
+    {
+      "name": "Dental & Other Rates",
+      "used_range": "A1:E48",
+      "row_count": 48,
+      "col_count": 5,
+      "has_header": false,
+      "title_hint": "Dental & Other Rates",
+      "header_info": null
+    }
+  ]
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/audit.json

@@ -0,0 +1,467 @@
+{
+  "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 6 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=12065B, src=17884B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=2.0 (total=12, final=6)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "11 unique values across 12 cells"
+        },
+        {
+          "check": "tail_artifact",
+          "pass": true,
+          "detail": "0 bad values"
+        },
+        {
+          "check": "unrecoverable_leaf",
+          "pass": true,
+          "detail": "clean",
+          "hidden_const_cells": []
+        },
+        {
+          "check": "adjacent_column_leak",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "header_name_accuracy",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "duplicate_lookup_tie_break",
+          "pass": true,
+          "severity": null,
+          "detail": "6 lookups"
+        },
+        {
+          "check": "src_chain_integrity",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean",
+          "sub_checks": {
+            "error_cells": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "external_refs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "volatile_funcs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "missing_sheets": {
+              "pass": true,
+              "count": 0,
+              "sheets": []
+            },
+            "circular_refs": {
+              "pass": true,
+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
+        }
+      ]
+    },
+    "post_nl_validate": {
+      "validate_label": "SOFT_WARN",
+      "validate_pass": true,
+      "hard_fails": 0,
+      "soft_warns": 3,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": false,
+          "detail": "contract=7, prompt=1, missing=6",
+          "missing_ranges": [
+            "B1",
+            "E1",
+            "H1",
+            "K1",
+            "N1",
+            "Q1"
+          ],
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "cell_count_match",
+          "pass": true,
+          "detail": "no explicit total found; skipping (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "step_count_match",
+          "pass": true,
+          "detail": "contract=1, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": false,
+          "detail": "contract=['DATA', 'SUMMARY'], missing=['DATA']",
+          "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 6 GT cells",
+          "severity": "OK"
+        },
+        {
+          "check": "final_target_first",
+          "pass": true,
+          "detail": "no explicit final target marker (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "output_format",
+          "pass": true,
+          "detail": "output format found",
+          "severity": "OK"
+        },
+        {
+          "check": "header_in_prompt",
+          "pass": true,
+          "detail": "no column headers found in prompt",
+          "severity": "OK"
+        },
+        {
+          "check": "hint_specificity",
+          "pass": true,
+          "detail": "clean",
+          "severity": "OK"
+        },
+        {
+          "check": "evidence_scope",
+          "pass": false,
+          "detail": "referenced=2 mentioned=1 missing=1 [DATA]",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 7 col groups; CONFLICTS: SUMMARY!I1: visible='=UPPER(\"Last Payment Amount\")' vs GT pattern='=LOOKUP(#,#/(INDEX(DATA!$B$#:$'; SUMMARY!I8: visible='=IF(B8=\"\",\"\",IFERROR(LOOKUP(2,' vs GT pattern='=LOOKUP(#,#/(INDEX(DATA!$B$#:$'"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": false,
+          "detail": "GT funcs: ['INDEX', 'LOOKUP', 'MATCH']; MISMATCHES: GT uses MATCH but NL doesn't mention any of: find, match, position; GT uses INDEX but NL doesn't mention any of: find, index, look up, lookup",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "unmatched_default_rule",
+          "pass": true,
+          "detail": "no default-rule phrase found in NL",
+          "severity": "OK"
+        },
+        {
+          "check": "volatile_function_freeze",
+          "pass": true,
+          "detail": "volatile_cells=0",
+          "severity": "OK"
+        },
+        {
+          "check": "direct_answer_leakage",
+          "pass": true,
+          "detail": "0 leaks out of 12 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": 12,
+      "total_non_none": 12,
+      "block_reasons": [],
+      "warnings": [
+        "mixed_gt_types:{'int': 6, 'str': 6}"
+      ],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "int": 6,
+            "str": 6
+          },
+          "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": 12
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 12,
+      "total_masked": 12,
+      "total_visible": 366,
+      "depth": 2,
+      "block_reasons": [
+        "broken_chains:6/12=50.0%"
+      ],
+      "warnings": [],
+      "checks": {
+        "broken_chains": {
+          "count": 6,
+          "checked": 12,
+          "details": [
+            {
+              "cell": "SUMMARY!I6",
+              "missing_dep": "DATA!C1",
+              "formula": "=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B6,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA"
+            },
+            {
+              "cell": "SUMMARY!I3",
+              "missing_dep": "DATA!C1",
+              "formula": "=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B3,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA"
+            },
+            {
+              "cell": "SUMMARY!I2",
+              "missing_dep": "DATA!C1",
+              "formula": "=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B2,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA"
+            },
+            {
+              "cell": "SUMMARY!I5",
+              "missing_dep": "DATA!C1",
+              "formula": "=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B5,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA"
+            },
+            {
+              "cell": "SUMMARY!I4",
+              "missing_dep": "DATA!C1",
+              "formula": "=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B4,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA"
+            },
+            {
+              "cell": "SUMMARY!I7",
+              "missing_dep": "DATA!C1",
+              "formula": "=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B7,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA"
+            }
+          ]
+        },
+        "orphan_masks": {
+          "count": 0,
+          "details": []
+        },
+        "self_contained": {
+          "missing_sheets": []
+        }
+      }
+    },
+    "exemplar": {
+      "soft_block": true,
+      "block_reasons": [
+        "zero_exemplar:1_patterns"
+      ],
+      "checks": {
+        "pattern_coverage": {
+          "pass": false,
+          "total_gt_patterns": 2,
+          "total_src_patterns": 16,
+          "zero_exemplar_count": 1,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": false,
+          "patterns": [
+            {
+              "pattern": "=LOOKUP(2,1/(INDEX(RANGE,,MATCH(REF,RANGE,0)+1)>0),INDEX(RAN",
+              "total_in_src": 6,
+              "sample_formula": "=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B2,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA"
+            }
+          ]
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "LOOKUP": {
+            "total_masked": 6,
+            "visible_exemplars": 12
+          },
+          "reference": {
+            "total_masked": 6,
+            "visible_exemplars": 7
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 1.0,
+      "flags": [
+        {
+          "code": "SC3",
+          "description": "Copy-from-visible: 8/12 GT cells have nearby visible formula clones",
+          "affected_cells": 8,
+          "severity": "high"
+        }
+      ]
+    },
+    "release_audit": {
+      "surface_single_sheet": false,
+      "surface_sheets": [
+        "DATA",
+        "SUMMARY"
+      ],
+      "cross_sheet_actual": true,
+      "cross_sheet_ref_count": 234,
+      "referenced_sheets": [
+        "DATA",
+        "SUMMARY"
+      ],
+      "target_shape": "summary_block",
+      "layer_sizes": [
+        6,
+        6
+      ],
+      "mask_last_total_cells": 12,
+      "layer_growth_ratios": [
+        1.0
+      ],
+      "pattern_dominance_ratio": 0.5,
+      "visible_clone_regions": 0,
+      "nearby_visible_clone_regions": 0,
+      "nearby_visible_clone_rows": 0,
+      "nearby_visible_clone_ratio": 0.0,
+      "promptability_score": 1.0,
+      "release_reasons": [],
+      "release_verdict": "KEEP"
+    }
+  },
+  "difficulty": {
+    "task_id": "cross_sheet__dag_97d57775c16d",
+    "difficulty_score": 57.9,
+    "difficulty": "medium",
+    "depth": 2,
+    "total_masked": 12,
+    "is_cross_sheet": true,
+    "unique_patterns": 2,
+    "avg_complexity": 12.0,
+    "cross_refs": 30,
+    "visible_exemplar_ratio": 0.727,
+    "score_breakdown": {
+      "depth": 7,
+      "cross_sheet": 10,
+      "cell_count": 7.2,
+      "patterns": 6,
+      "complexity": 15,
+      "cross_refs": 10,
+      "vis_penalty": 2.7
+    }
+  }
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/ground_truth_full.json

@@ -0,0 +1,110 @@
+[
+  {
+    "sheet": "SUMMARY",
+    "col": "I",
+    "row": 2,
+    "formula": "=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B2,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA!$B$3:$S$51,,MATCH($B2,DATA!$B$1:$S$1,0)+2))",
+    "cached_value": 80000,
+    "pattern_id": "pf_0009",
+    "layer": 1
+  },
+  {
+    "sheet": "SUMMARY",
+    "col": "I",
+    "row": 3,
+    "formula": "=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B3,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA!$B$3:$S$51,,MATCH($B3,DATA!$B$1:$S$1,0)+2))",
+    "cached_value": 60000,
+    "pattern_id": "pf_0009",
+    "layer": 1
+  },
+  {
+    "sheet": "SUMMARY",
+    "col": "I",
+    "row": 4,
+    "formula": "=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B4,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA!$B$3:$S$51,,MATCH($B4,DATA!$B$1:$S$1,0)+2))",
+    "cached_value": 20000,
+    "pattern_id": "pf_0009",
+    "layer": 1
+  },
+  {
+    "sheet": "SUMMARY",
+    "col": "I",
+    "row": 5,
+    "formula": "=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B5,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA!$B$3:$S$51,,MATCH($B5,DATA!$B$1:$S$1,0)+2))",
+    "cached_value": 16500,
+    "pattern_id": "pf_0009",
+    "layer": 1
+  },
+  {
+    "sheet": "SUMMARY",
+    "col": "I",
+    "row": 6,
+    "formula": "=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B6,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA!$B$3:$S$51,,MATCH($B6,DATA!$B$1:$S$1,0)+2))",
+    "cached_value": 15000,
+    "pattern_id": "pf_0009",
+    "layer": 1
+  },
+  {
+    "sheet": "SUMMARY",
+    "col": "I",
+    "row": 7,
+    "formula": "=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B7,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA!$B$3:$S$51,,MATCH($B7,DATA!$B$1:$S$1,0)+2))",
+    "cached_value": 15000,
+    "pattern_id": "pf_0009",
+    "layer": 1
+  },
+  {
+    "sheet": "DATA",
+    "col": "B",
+    "row": 1,
+    "formula": "=SUMMARY!B2",
+    "cached_value": "Customer 1",
+    "pattern_id": "pf_0016",
+    "layer": 2
+  },
+  {
+    "sheet": "DATA",
+    "col": "E",
+    "row": 1,
+    "formula": "=SUMMARY!B3",
+    "cached_value": "Customer 2",
+    "pattern_id": "pf_0017",
+    "layer": 2
+  },
+  {
+    "sheet": "DATA",
+    "col": "H",
+    "row": 1,
+    "formula": "=SUMMARY!B4",
+    "cached_value": "Customer 3",
+    "pattern_id": "pf_0018",
+    "layer": 2
+  },
+  {
+    "sheet": "DATA",
+    "col": "K",
+    "row": 1,
+    "formula": "=SUMMARY!B5",
+    "cached_value": "Customer 4",
+    "pattern_id": "pf_0019",
+    "layer": 2
+  },
+  {
+    "sheet": "DATA",
+    "col": "N",
+    "row": 1,
+    "formula": "=SUMMARY!B6",
+    "cached_value": "Customer 5",
+    "pattern_id": "pf_0020",
+    "layer": 2
+  },
+  {
+    "sheet": "DATA",
+    "col": "Q",
+    "row": 1,
+    "formula": "=SUMMARY!B7",
+    "cached_value": "Customer 6",
+    "pattern_id": "pf_0021",
+    "layer": 2
+  }
+]

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/ground_truth_target.json

@@ -0,0 +1,50 @@
+[
+  {
+    "sheet": "SUMMARY",
+    "col": "I",
+    "row": 2,
+    "formula": "=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B2,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA!$B$3:$S$51,,MATCH($B2,DATA!$B$1:$S$1,0)+2))",
+    "cached_value": 80000,
+    "pattern_id": "pf_0009"
+  },
+  {
+    "sheet": "SUMMARY",
+    "col": "I",
+    "row": 3,
+    "formula": "=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B3,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA!$B$3:$S$51,,MATCH($B3,DATA!$B$1:$S$1,0)+2))",
+    "cached_value": 60000,
+    "pattern_id": "pf_0009"
+  },
+  {
+    "sheet": "SUMMARY",
+    "col": "I",
+    "row": 4,
+    "formula": "=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B4,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA!$B$3:$S$51,,MATCH($B4,DATA!$B$1:$S$1,0)+2))",
+    "cached_value": 20000,
+    "pattern_id": "pf_0009"
+  },
+  {
+    "sheet": "SUMMARY",
+    "col": "I",
+    "row": 5,
+    "formula": "=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B5,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA!$B$3:$S$51,,MATCH($B5,DATA!$B$1:$S$1,0)+2))",
+    "cached_value": 16500,
+    "pattern_id": "pf_0009"
+  },
+  {
+    "sheet": "SUMMARY",
+    "col": "I",
+    "row": 6,
+    "formula": "=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B6,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA!$B$3:$S$51,,MATCH($B6,DATA!$B$1:$S$1,0)+2))",
+    "cached_value": 15000,
+    "pattern_id": "pf_0009"
+  },
+  {
+    "sheet": "SUMMARY",
+    "col": "I",
+    "row": 7,
+    "formula": "=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B7,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA!$B$3:$S$51,,MATCH($B7,DATA!$B$1:$S$1,0)+2))",
+    "cached_value": 15000,
+    "pattern_id": "pf_0009"
+  }
+]

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/layers.json

@@ -0,0 +1,147 @@
+{
+  "dag_id": "dag_97d57775c16d",
+  "file_id": "725136d1616556152-formulae-for-dates-and-period-calculations-that-can-auto-calculate-with-drop-down-example-13-",
+  "category": "cross_sheet",
+  "surface_category": "cross_sheet",
+  "effective_category": "cross_sheet",
+  "depth": 2,
+  "quality": {
+    "chain_error_cells": 0,
+    "chain_external_cells": 0,
+    "is_clean": true
+  },
+  "layers": [
+    {
+      "layer_index": 1,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00010"
+          ],
+          "sheet": "SUMMARY",
+          "col": "I",
+          "rows": [
+            2,
+            3,
+            4,
+            5,
+            6,
+            7
+          ],
+          "row_ranges": "2-7",
+          "row_count": 6,
+          "pattern_id": "pf_0009",
+          "normalized_pattern": "=LOOKUP(2,1/(INDEX(DATA![$B,$3]:[$S,$51],,MATCH([$B,R],DATA![$B,$1]:[$S,$1],0)+1)>0),INDEX(DATA![$B,$3]:[$S,$51],,MATCH([$B,R],DATA![$B,$1]:[$S,$1],0)+2))",
+          "sample_formula": "=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B2,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA!$B$3:$S$51,,MATCH($B2,DATA!$B$1:$S$1,0)+2))"
+        }
+      ],
+      "new_eval_cells": 6,
+      "total_masked_cells": 6
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00017"
+          ],
+          "sheet": "DATA",
+          "col": "B",
+          "rows": [
+            1
+          ],
+          "row_ranges": "1",
+          "row_count": 1,
+          "pattern_id": "pf_0016",
+          "normalized_pattern": "=SUMMARY![C,R+1]",
+          "sample_formula": "=SUMMARY!B2"
+        },
+        {
+          "region_ids": [
+            "rg_00018"
+          ],
+          "sheet": "DATA",
+          "col": "E",
+          "rows": [
+            1
+          ],
+          "row_ranges": "1",
+          "row_count": 1,
+          "pattern_id": "pf_0017",
+          "normalized_pattern": "=SUMMARY![C-3,R+2]",
+          "sample_formula": "=SUMMARY!B3"
+        },
+        {
+          "region_ids": [
+            "rg_00019"
+          ],
+          "sheet": "DATA",
+          "col": "H",
+          "rows": [
+            1
+          ],
+          "row_ranges": "1",
+          "row_count": 1,
+          "pattern_id": "pf_0018",
+          "normalized_pattern": "=SUMMARY![C-6,R+3]",
+          "sample_formula": "=SUMMARY!B4"
+        },
+        {
+          "region_ids": [
+            "rg_00020"
+          ],
+          "sheet": "DATA",
+          "col": "K",
+          "rows": [
+            1
+          ],
+          "row_ranges": "1",
+          "row_count": 1,
+          "pattern_id": "pf_0019",
+          "normalized_pattern": "=SUMMARY![C-9,R+4]",
+          "sample_formula": "=SUMMARY!B5"
+        },
+        {
+          "region_ids": [
+            "rg_00021"
+          ],
+          "sheet": "DATA",
+          "col": "N",
+          "rows": [
+            1
+          ],
+          "row_ranges": "1",
+          "row_count": 1,
+          "pattern_id": "pf_0020",
+          "normalized_pattern": "=SUMMARY![C-12,R+5]",
+          "sample_formula": "=SUMMARY!B6"
+        },
+        {
+          "region_ids": [
+            "rg_00022"
+          ],
+          "sheet": "DATA",
+          "col": "Q",
+          "rows": [
+            1
+          ],
+          "row_ranges": "1",
+          "row_count": 1,
+          "pattern_id": "pf_0021",
+          "normalized_pattern": "=SUMMARY![C-15,R+6]",
+          "sample_formula": "=SUMMARY!B7"
+        }
+      ],
+      "new_eval_cells": 6,
+      "total_masked_cells": 12
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00010",
+    "sheet": "SUMMARY",
+    "col": "I",
+    "pattern_id": "pf_0009",
+    "row_count": 6,
+    "family_size": 6
+  }
+}

FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/nl_task.json

@@ -0,0 +1,26 @@
+{
+  "task_id": "cross_sheet__dag_97d57775c16d",
+  "prompt_en": "The SUMMARY sheet is tracking rent receivable information with fields like S.NO., TOWER/SHOP/FLAT, PROJECT, PARTY NAME, MONTHLY RENT, and TOTAL RENT RECEIVABLE, alongside payment-related labels such as Date Paid and Rent Paid in the workbook. Please complete the blank entries in the SUMMARY sheet’s LAST PAYMENT AMOUNT column, specifically I2:I7. Any related payment details in the workbook should be in place first so the SUMMARY entries are meaningful. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "SUMMARY 工作表正在记录租金应收信息，包含 S.NO.、TOWER/SHOP/FLAT、PROJECT、PARTY NAME、MONTHLY RENT、TOTAL RENT RECEIVABLE 等字段，工作簿中也有 Date Paid 和 Rent Paid 等付款相关标签。请补全 SUMMARY 工作表中 LAST PAYMENT AMOUNT 列的空白项，具体是 I2:I7。工作簿中相关的付款明细应先保持完整，这样 SUMMARY 里的内容才有意义。请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt is minimal and business-context focused, identifies the target sheet, column, and range, mentions the natural dependency on payment details without describing any operation or formula, and avoids revealing masked values.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 3,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
+      "operation_words": 0,
+      "cell_range_density": 3,
+      "step_by_step": 0,
+      "column_operation_mapping": 0,
+      "formula_pattern_hints": 0
+    },
+    "operation_words_found": [],
+    "cell_ranges_found": 1
+  },
+  "version": "v7",
+  "model": "gpt-5.5",
+  "elapsed": 23.2,
+  "attempt": 1
+}