diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/audit.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/audit.json
new file mode 100644
index 0000000000000000000000000000000000000000..aedaee761e4042afbc30a08e387f1b1ca5d20fbe
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/audit.json
@@ -0,0 +1,477 @@
+{
+  "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 114 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=13063B, src=24174B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=4.0 (total=456, final=114)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "229 unique values across 456 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": "114 lookups"
+        },
+        {
+          "check": "src_chain_integrity",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean",
+          "sub_checks": {
+            "error_cells": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "external_refs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "volatile_funcs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "missing_sheets": {
+              "pass": true,
+              "count": 0,
+              "sheets": []
+            },
+            "circular_refs": {
+              "pass": true,
+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
+        }
+      ]
+    },
+    "post_nl_validate": {
+      "validate_label": "SOFT_WARN",
+      "validate_pass": true,
+      "hard_fails": 0,
+      "soft_warns": 2,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": false,
+          "detail": "contract=4, prompt=1, missing=2",
+          "missing_ranges": [
+            "H3:H116",
+            "Q3:Q116"
+          ],
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "cell_count_match",
+          "pass": true,
+          "detail": "no explicit total found; skipping (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "step_count_match",
+          "pass": true,
+          "detail": "contract=2, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": 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 114 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 4 col groups"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": false,
+          "detail": "GT funcs: ['INDEX', 'MATCH', 'MAX', 'RANK', 'ROWS', 'SMALL']; MISMATCHES: GT uses INDEX but NL doesn't mention any of: find, index, look up, lookup; GT uses MATCH but NL doesn't mention any of: find, match, position",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "unmatched_default_rule",
+          "pass": true,
+          "detail": "no default-rule phrase found in NL",
+          "severity": "OK"
+        },
+        {
+          "check": "volatile_function_freeze",
+          "pass": true,
+          "detail": "volatile_cells=0",
+          "severity": "OK"
+        },
+        {
+          "check": "direct_answer_leakage",
+          "pass": true,
+          "detail": "0 leaks out of 456 GT cells (0%)",
+          "severity": "OK"
+        }
+      ]
+    },
+    "pre_nl_local": {
+      "local_total": 58,
+      "local_label": "PENDING_NL",
+      "hard_fail_flags": [],
+      "warnings": [
+        "release_verdict_not_keep",
+        "nl_missing"
+      ],
+      "local_subscores": {
+        "family_clean": 25,
+        "target_integrity": 15,
+        "taxonomy": 10,
+        "semantic_signal": 8,
+        "nl_schema": 0,
+        "target_alignment": 0,
+        "business_specificity": 0,
+        "nl_risk": 0
+      }
+    }
+  },
+  "verify": {
+    "uniqueness": {
+      "total_gt_cells": 456,
+      "total_non_none": 456,
+      "block_reasons": [],
+      "warnings": [
+        "mixed_gt_types:{'int': 343, 'float': 113}"
+      ],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 228,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "int": 343,
+            "float": 113
+          },
+          "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": 456
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 456,
+      "total_masked": 456,
+      "total_visible": 926,
+      "depth": 3,
+      "block_reasons": [],
+      "warnings": [],
+      "checks": {
+        "broken_chains": {
+          "count": 0,
+          "checked": 456,
+          "details": []
+        },
+        "orphan_masks": {
+          "count": 0,
+          "details": []
+        },
+        "self_contained": {
+          "missing_sheets": []
+        }
+      }
+    },
+    "exemplar": {
+      "soft_block": true,
+      "block_reasons": [
+        "zero_exemplar:116_patterns"
+      ],
+      "checks": {
+        "pattern_coverage": {
+          "pass": false,
+          "total_gt_patterns": 117,
+          "total_src_patterns": 117,
+          "zero_exemplar_count": 116,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": false,
+          "patterns": [
+            {
+              "pattern": "=SMALL(RANGE,ROWS($1:56))",
+              "total_in_src": 1,
+              "sample_formula": "=SMALL($E$3:$E$116,ROWS($1:56))"
+            },
+            {
+              "pattern": "=SMALL(RANGE,ROWS($1:1))",
+              "total_in_src": 1,
+              "sample_formula": "=SMALL($E$3:$E$116,ROWS($1:1))"
+            },
+            {
+              "pattern": "=SMALL(RANGE,ROWS($1:88))",
+              "total_in_src": 1,
+              "sample_formula": "=SMALL($E$3:$E$116,ROWS($1:88))"
+            },
+            {
+              "pattern": "=SMALL(RANGE,ROWS($1:44))",
+              "total_in_src": 1,
+              "sample_formula": "=SMALL($E$3:$E$116,ROWS($1:44))"
+            },
+            {
+              "pattern": "=SMALL(RANGE,ROWS($1:29))",
+              "total_in_src": 1,
+              "sample_formula": "=SMALL($E$3:$E$116,ROWS($1:29))"
+            },
+            {
+              "pattern": "=SMALL(RANGE,ROWS($1:31))",
+              "total_in_src": 1,
+              "sample_formula": "=SMALL($E$3:$E$116,ROWS($1:31))"
+            },
+            {
+              "pattern": "=SMALL(RANGE,ROWS($1:92))",
+              "total_in_src": 1,
+              "sample_formula": "=SMALL($E$3:$E$116,ROWS($1:92))"
+            },
+            {
+              "pattern": "=(REF*(MAX(RANGE)+1-REF))-(REF/100)",
+              "total_in_src": 114,
+              "sample_formula": "=(C3*(MAX($D$3:$D$116)+1-D3))-(A3/100)"
+            },
+            {
+              "pattern": "=SMALL(RANGE,ROWS($1:96))",
+              "total_in_src": 1,
+              "sample_formula": "=SMALL($E$3:$E$116,ROWS($1:96))"
+            },
+            {
+              "pattern": "=SMALL(RANGE,ROWS($1:38))",
+              "total_in_src": 1,
+              "sample_formula": "=SMALL($E$3:$E$116,ROWS($1:38))"
+            }
+          ]
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "MAX": {
+            "total_masked": 114,
+            "visible_exemplars": 0
+          },
+          "RANK": {
+            "total_masked": 114,
+            "visible_exemplars": 0
+          },
+          "INDEX": {
+            "total_masked": 114,
+            "visible_exemplars": 456
+          },
+          "SMALL": {
+            "total_masked": 114,
+            "visible_exemplars": 0
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.0,
+      "flags": []
+    },
+    "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": [
+        114,
+        228,
+        114
+      ],
+      "mask_last_total_cells": 456,
+      "layer_growth_ratios": [
+        2.0,
+        0.5
+      ],
+      "pattern_dominance_ratio": 0.25,
+      "visible_clone_regions": 0,
+      "nearby_visible_clone_regions": 0,
+      "nearby_visible_clone_rows": 0,
+      "nearby_visible_clone_ratio": 0.0,
+      "promptability_score": 0.8,
+      "release_reasons": [
+        "family_large"
+      ],
+      "release_verdict": "REVISION_POOL"
+    }
+  },
+  "difficulty": {
+    "task_id": "single_sheet__dag_f0bc678b1b02",
+    "difficulty_score": 65.9,
+    "difficulty": "hard",
+    "depth": 3,
+    "total_masked": 456,
+    "is_cross_sheet": false,
+    "unique_patterns": 4,
+    "avg_complexity": 10.0,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.009,
+    "score_breakdown": {
+      "depth": 14,
+      "cross_sheet": 0,
+      "cell_count": 15,
+      "patterns": 12,
+      "complexity": 15,
+      "cross_refs": 0,
+      "vis_penalty": 9.9
+    }
+  }
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/ground_truth_full.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/ground_truth_full.json
new file mode 100644
index 0000000000000000000000000000000000000000..670d77ecf9dd40ab1d6c3289e2d355c2166dfff5
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/ground_truth_full.json
@@ -0,0 +1,4106 @@
+[
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 3,
+    "formula": "=INDEX(D$3:D$116,MATCH($H3,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 4,
+    "formula": "=INDEX(D$3:D$116,MATCH($H4,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 5,
+    "formula": "=INDEX(D$3:D$116,MATCH($H5,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 6,
+    "formula": "=INDEX(D$3:D$116,MATCH($H6,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 7,
+    "formula": "=INDEX(D$3:D$116,MATCH($H7,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 8,
+    "formula": "=INDEX(D$3:D$116,MATCH($H8,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 9,
+    "formula": "=INDEX(D$3:D$116,MATCH($H9,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 10,
+    "formula": "=INDEX(D$3:D$116,MATCH($H10,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 11,
+    "formula": "=INDEX(D$3:D$116,MATCH($H11,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 12,
+    "formula": "=INDEX(D$3:D$116,MATCH($H12,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 13,
+    "formula": "=INDEX(D$3:D$116,MATCH($H13,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 14,
+    "formula": "=INDEX(D$3:D$116,MATCH($H14,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 15,
+    "formula": "=INDEX(D$3:D$116,MATCH($H15,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 16,
+    "formula": "=INDEX(D$3:D$116,MATCH($H16,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 17,
+    "formula": "=INDEX(D$3:D$116,MATCH($H17,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 18,
+    "formula": "=INDEX(D$3:D$116,MATCH($H18,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 19,
+    "formula": "=INDEX(D$3:D$116,MATCH($H19,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 20,
+    "formula": "=INDEX(D$3:D$116,MATCH($H20,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 21,
+    "formula": "=INDEX(D$3:D$116,MATCH($H21,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 22,
+    "formula": "=INDEX(D$3:D$116,MATCH($H22,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 23,
+    "formula": "=INDEX(D$3:D$116,MATCH($H23,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 24,
+    "formula": "=INDEX(D$3:D$116,MATCH($H24,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 25,
+    "formula": "=INDEX(D$3:D$116,MATCH($H25,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 26,
+    "formula": "=INDEX(D$3:D$116,MATCH($H26,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 27,
+    "formula": "=INDEX(D$3:D$116,MATCH($H27,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
+    "row": 28,
+    "formula": "=INDEX(D$3:D$116,MATCH($H28,$E$3:$E$116,0))",
+    "cached_value": 0,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Sheet1",
+    "col": "K",
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diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/ground_truth_target.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/ground_truth_target.json
new file mode 100644
index 0000000000000000000000000000000000000000..2282f4b2c7218886b93c9513f6a12d21d4259541
--- /dev/null
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diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/layers.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/layers.json
new file mode 100644
index 0000000000000000000000000000000000000000..f27f61694b2a0d7361ee9ce40a6ef45bfd33d261
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+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/mask_last.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..3f799ec3a848180324af74068da48793ce77683e
Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/mask_last.xlsx differ
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/nl_task.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/nl_task.json
new file mode 100644
index 0000000000000000000000000000000000000000..8c9503724f7a5d4f0bd94e53c1b7a26e90489c66
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/nl_task.json
@@ -0,0 +1,26 @@
+{
+  "task_id": "single_sheet__dag_f0bc678b1b02",
+  "prompt_en": "The YEAR-2011 CLASS-IX RANK SHEET on Sheet1 is an academic records sheet listing pupils by ROLL and Name Of Pupils, with MARKS OBTAINED and a D-VALUE column. Please fill in the blank D-VALUE entries in column K, specifically K3:K116. If any related blank fields in the sheet need to be in place before the D-VALUE entries make sense, complete those as part of keeping the rank sheet consistent. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "Sheet1 中的 YEAR-2011 CLASS-IX RANK SHEET 是一张学业记录表，按 ROLL 和 Name Of Pupils 列出学生，并包含 MARKS OBTAINED 和 D-VALUE 列。请填写 K 列中空白的 D-VALUE 项，具体范围是 K3:K116。如果表中有其他相关空白字段需要先补齐，才能让 D-VALUE 项保持一致，也请一并处理，使整张排名表内容完整。请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt stays within the visible workbook context, identifies the target column and range, mentions related blank fields only generally, 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": 26.8,
+  "attempt": 1
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/release_qc.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/release_qc.json
new file mode 100644
index 0000000000000000000000000000000000000000..eb8779afe465262fa26ff865967d658bf13067ef
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/release_qc.json
@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "CORRECT: Masking is clean and the dependency chain is reconstructible from the visible rank-sheet structure and data.",
+  "D1": {
+    "score": 5,
+    "reason": "All 456 contract cells are real cells within Sheet1 rows 3:116, with no phantom ranges. The mask boundary is clean: all contract cells are truly removed, no contract cells left unmasked, and no extra cells outside the contract were cleared. There is no trivial same-column copy leakage; visible surrounding columns provide structural clues but do not eliminate the need to infer the ranking/weighted-mark dependency chain."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The GT formulas are consistent with the source workbook structure. K uses INDEX/MATCH to pull the original D-VALUE according to the sorted POSITION/RANK mapping; Q computes deterministic weighted marks from visible roll, marks, and D-value data; E ranks Q; H enumerates sorted rank positions. Cached values shown for sampled K cells are consistent with the formulas and source data. No ambiguity or volatile behavior is present."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL description clearly identifies the workbook, sheet, target column, and exact range K3:K116, and it instructs the solver to complete related blank fields if needed. It is somewhat high-level and does not explicitly name the prerequisite columns E, H, and Q or describe their formulas, but it is understandable for a rank-sheet completion task."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "Using only mask_last.xlsx and the NL prompt, the task is solvable with effort. The visible sheet exposes the original roster/marks/D-value table on the left and a sorted rank-sheet table on the right with visible ROLL, NAME, MARKS OBTAINED, and Weighted Marks values. From the visible right-side ordering and L-column weighted marks, the solver can infer that Q contains weighted marks, E contains ranks, H contains sorted positions, and K should look up the D-VALUE from the original table according to the sorted record. The weighted-mark rule is non-obvious but inferable from the visible decimals and source columns, e.g. marks multiplied by a D-value adjustment with roll-number tie-breaking. One minor gap is that the NL does not explicitly explain the weighted-mark formula, so reconstructing Q requires pattern discovery rather than direct instruction.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 5,
+    "reason": "The source spreadsheet appears structurally sound: formulas form a coherent acyclic ranking pipeline, referenced ranges are valid, headers are meaningful, and there are no signs of corrupted values, broken references, circular dependencies, or out-of-range formulas. Duplicate/parallel weighted-mark columns are intentional within the rank-sheet layout."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The NL prompt sounds like a plausible workplace-style instruction to complete missing rank-sheet entries. It avoids benchmark jargon and naturally asks the user to fill the D-VALUE blanks and maintain consistency in related fields."
+  },
+  "total": 28,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality task: clean masking, valid GT, sound source data, and a challenging but reconstructible dependency chain. The only minor weakness is that the NL prompt is broad and leaves formula inference to the visible sheet structure, which is acceptable for this benchmark.",
+  "frontier_hardness": {
+    "score": 3,
+    "reason": "This is moderately hard for a frontier model because it requires reconstructing a three-layer dependency chain across 456 masked cells and inferring the weighted-mark/rank/position logic from the visible rank-sheet layout. However, it is single-sheet, the data relationships are strongly visible, and there are no hidden constants beyond values inferable from the sheet, so a frontier model with spreadsheet reasoning could likely solve it with effort.",
+    "fail_reason": "deep_chain",
+    "is_valid_hardness": true
+  },
+  "_prompt_chars": 218501,
+  "_timing_load_workbooks": 0.07,
+  "_timing_context": 0.02,
+  "_timing_api": 116.22,
+  "local_difficulty": {
+    "difficulty_score": 65.9,
+    "difficulty": "hard",
+    "depth": 3,
+    "total_masked": 456,
+    "is_cross_sheet": false,
+    "unique_patterns": 4,
+    "avg_complexity": 10,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.009
+  },
+  "task_id": "single_sheet__dag_f0bc678b1b02",
+  "elapsed": 116.3,
+  "publish_decision": "YES",
+  "release_tier": "GOLD",
+  "hard_block_reasons": []
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/target_contract.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/target_contract.json
new file mode 100644
index 0000000000000000000000000000000000000000..961e5265b748785c84e4a559c98ff0d4a9ce9bdc
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/target_contract.json
@@ -0,0 +1,533 @@
+{
+  "task_id": "single_sheet__dag_f0bc678b1b02",
+  "category": "single_sheet",
+  "depth": 3,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "Sheet1",
+        "column": "K",
+        "column_header": "D-VALUE",
+        "cell_range": "K3:K116",
+        "cell_count": 114,
+        "rows": [
+          3,
+          4,
+          5,
+          6,
+          7,
+          8,
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+          10,
+          11,
+          12,
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+          61,
+          62,
+          63,
+          64,
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+          75,
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+          77,
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+          88,
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+          99,
+          100,
+          101,
+          102,
+          103,
+          104,
+          105,
+          106,
+          107,
+          108,
+          109,
+          110,
+          111,
+          112,
+          113,
+          114,
+          115,
+          116
+        ],
+        "first_row_label": "SRI. PROSENJIT  SARKAR.",
+        "last_row_label": "SRI. RAKESH SARKAR."
+      }
+    ],
+    "cell_count": 114,
+    "formula_families": [
+      "lookup"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 3,
+      "regions": [
+        {
+          "sheet": "Sheet1",
+          "column": "Q",
+          "column_header": "Weighted Marks",
+          "cell_range": "Q3:Q116",
+          "cell_count": 114,
+          "rows": [
+            3,
+            4,
+            5,
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
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+            114,
+            115,
+            116
+          ],
+          "first_row_label": "SRI. PROSENJIT  SARKAR.",
+          "last_row_label": "SRI. RAKESH SARKAR."
+        }
+      ],
+      "cell_count": 114
+    },
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Sheet1",
+          "column": "E",
+          "column_header": "RANK",
+          "cell_range": "E3:E116",
+          "cell_count": 114,
+          "rows": [
+            3,
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+            116
+          ],
+          "first_row_label": "SRI. PROSENJIT  SARKAR.",
+          "last_row_label": "SRI. RAKESH SARKAR."
+        },
+        {
+          "sheet": "Sheet1",
+          "column": "H",
+          "column_header": "POSITION",
+          "cell_range": "H3:H116",
+          "cell_count": 114,
+          "rows": [
+            3,
+            4,
+            5,
+            6,
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+            110,
+            111,
+            112,
+            113,
+            114,
+            115,
+            116
+          ],
+          "first_row_label": "SRI. PROSENJIT  SARKAR.",
+          "last_row_label": "SRI. RAKESH SARKAR."
+        }
+      ],
+      "cell_count": 228
+    }
+  ],
+  "total_prerequisite_cells": 342,
+  "total_masked_cells": 456,
+  "ratio_total_vs_final": 4.0,
+  "sheets_involved": [
+    "Sheet1"
+  ]
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/task_meta.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/task_meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..24816959947c2e00b75a959ffe7c89a24eb4e5fc
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/task_meta.json
@@ -0,0 +1,37 @@
+{
+  "fcb_id": "FCB-01365",
+  "task_id": "single_sheet__dag_f0bc678b1b02",
+  "tier": "T2_HARD",
+  "category": "single_sheet",
+  "depth": 3,
+  "total_masked": 456,
+  "is_cross_sheet": false,
+  "prompt_en": "The YEAR-2011 CLASS-IX RANK SHEET on Sheet1 is an academic records sheet listing pupils by ROLL and Name Of Pupils, with MARKS OBTAINED and a D-VALUE column. Please fill in the blank D-VALUE entries in column K, specifically K3:K116. If any related blank fields in the sheet need to be in place before the D-VALUE entries make sense, complete those as part of keeping the rank sheet consistent. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "Sheet1 中的 YEAR-2011 CLASS-IX RANK SHEET 是一张学业记录表，按 ROLL 和 Name Of Pupils 列出学生，并包含 MARKS OBTAINED 和 D-VALUE 列。请填写 K 列中空白的 D-VALUE 项，具体范围是 K3:K116。如果表中有其他相关空白字段需要先补齐，才能让 D-VALUE 项保持一致，也请一并处理，使整张排名表内容完整。请将完成后的工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 28,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 4,
+    "D4": 4,
+    "D5": 5,
+    "D6": 5,
+    "frontier_hardness": 3,
+    "local_difficulty": 65.9
+  },
+  "source_file_id": "167293d1341944965-rank-making-for-students-rank-sheet-2011",
+  "inferred_domain": "education",
+  "domain_confidence": 0.5,
+  "sheet_profiles": [
+    {
+      "name": "Sheet1",
+      "used_range": "A1:Q116",
+      "row_count": 116,
+      "col_count": 17,
+      "has_header": false,
+      "title_hint": "Sheet1",
+      "header_info": null
+    }
+  ]
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/audit.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/audit.json
new file mode 100644
index 0000000000000000000000000000000000000000..a2463f029f3bbbb5540f5d0e98aac759fbfec7a9
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/audit.json
@@ -0,0 +1,524 @@
+{
+  "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=582518B, src=709018B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=14.7 (total=88, final=6) [WARN: high mask ratio]"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "11 unique values across 88 cells [WARN: low_discrimination layer_1_ground_truth: 5/6=83%]"
+        },
+        {
+          "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: WE-FLSH!K→L(5/6), WE-FLSH!M→L(3/6), RECLASS!L→WE-FLSH!L(5/6), TIE-OUT!L→WE-FLSH!L(5/6), SE-EGM-GL!L→WE-FLSH!L(5/6)"
+        },
+        {
+          "check": "header_name_accuracy",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "duplicate_lookup_tie_break",
+          "pass": true,
+          "detail": "no lookup formulas"
+        },
+        {
+          "check": "src_chain_integrity",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean",
+          "sub_checks": {
+            "error_cells": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "external_refs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "volatile_funcs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "missing_sheets": {
+              "pass": true,
+              "count": 0,
+              "sheets": []
+            },
+            "circular_refs": {
+              "pass": true,
+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
+        }
+      ]
+    },
+    "post_nl_validate": {
+      "validate_label": "CLEAN",
+      "validate_pass": true,
+      "hard_fails": 0,
+      "soft_warns": 0,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": true,
+          "detail": "contract=34, prompt=6, missing=0",
+          "missing_ranges": [],
+          "severity": "OK"
+        },
+        {
+          "check": "cell_count_match",
+          "pass": true,
+          "detail": "no explicit total found; skipping (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "step_count_match",
+          "pass": true,
+          "detail": "contract=2, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": true,
+          "detail": "contract=['WE-FLSH'], 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 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": true,
+          "detail": "no cross-sheet refs in GT",
+          "severity": "OK"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 2 col groups; CONFLICTS: WE-FLSH!L37: visible='=D37+J37' vs GT pattern='=H#+J#'; WE-FLSH!L43: visible='=L42+L39' vs GT pattern='=H#+J#'"
+        },
+        {
+          "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 88 GT cells (0%)",
+          "severity": "OK"
+        }
+      ]
+    },
+    "pre_nl_local": {
+      "local_total": 60,
+      "local_label": "PENDING_NL",
+      "hard_fail_flags": [],
+      "warnings": [
+        "release_verdict_not_keep",
+        "nl_missing"
+      ],
+      "local_subscores": {
+        "family_clean": 25,
+        "target_integrity": 15,
+        "taxonomy": 10,
+        "semantic_signal": 10,
+        "nl_schema": 0,
+        "target_alignment": 0,
+        "business_specificity": 0,
+        "nl_risk": 0
+      }
+    }
+  },
+  "verify": {
+    "uniqueness": {
+      "total_gt_cells": 88,
+      "total_non_none": 88,
+      "block_reasons": [],
+      "warnings": [],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "int": 88
+          },
+          "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": 88
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 88,
+      "total_masked": 88,
+      "total_visible": 20968,
+      "depth": 3,
+      "block_reasons": [
+        "broken_chains:42/88=47.7%"
+      ],
+      "warnings": [],
+      "checks": {
+        "broken_chains": {
+          "count": 42,
+          "checked": 88,
+          "details": [
+            {
+              "cell": "WE-FLSH!L78",
+              "missing_dep": "WE-FLSH!J78",
+              "formula": "=H78+J78"
+            },
+            {
+              "cell": "WE-FLSH!L23",
+              "missing_dep": "WE-FLSH!J23",
+              "formula": "=H23+J23"
+            },
+            {
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diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/ground_truth_full.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/ground_truth_full.json
new file mode 100644
index 0000000000000000000000000000000000000000..0a637f0240eab08b0c59bf72fe1a0a6662487c0b
--- /dev/null
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+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 40,
+    "formula": "=D40",
+    "cached_value": -36293,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 41,
+    "formula": "=D41",
+    "cached_value": 0,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 45,
+    "formula": "=D45",
+    "cached_value": 0,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 47,
+    "formula": "=D47",
+    "cached_value": 0,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 49,
+    "formula": "=D49",
+    "cached_value": 0,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 51,
+    "formula": "=D51",
+    "cached_value": -288145,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 54,
+    "formula": "=D54",
+    "cached_value": 0,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 55,
+    "formula": "=D55",
+    "cached_value": 0,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 59,
+    "formula": "=D59",
+    "cached_value": 0,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 60,
+    "formula": "=D60",
+    "cached_value": 0,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 64,
+    "formula": "=D64",
+    "cached_value": 0,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 65,
+    "formula": "=D65",
+    "cached_value": 0,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 70,
+    "formula": "=D70",
+    "cached_value": 0,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 71,
+    "formula": "=D71",
+    "cached_value": 0,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 73,
+    "formula": "=D73",
+    "cached_value": 0,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 74,
+    "formula": "=D74",
+    "cached_value": 0,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 75,
+    "formula": "=D75",
+    "cached_value": 0,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 76,
+    "formula": "=D76",
+    "cached_value": 0,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 77,
+    "formula": "=D77",
+    "cached_value": 0,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 78,
+    "formula": "=D78",
+    "cached_value": 0,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 79,
+    "formula": "=D79",
+    "cached_value": 0,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 80,
+    "formula": "=D80",
+    "cached_value": 0,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "H",
+    "row": 81,
+    "formula": "=D81",
+    "cached_value": 0,
+    "pattern_id": "pf_0034",
+    "layer": 3
+  }
+]
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/ground_truth_target.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/ground_truth_target.json
new file mode 100644
index 0000000000000000000000000000000000000000..a4d68daf0791838319c5adb64ce9b885edbb7fe0
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/ground_truth_target.json
@@ -0,0 +1,50 @@
+[
+  {
+    "sheet": "WE-FLSH",
+    "col": "L",
+    "row": 29,
+    "formula": "=SUM(L27:L28)",
+    "cached_value": 0,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "L",
+    "row": 42,
+    "formula": "=SUM(L40:L41)",
+    "cached_value": -36293,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "L",
+    "row": 56,
+    "formula": "=SUM(L54:L55)",
+    "cached_value": 0,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "L",
+    "row": 61,
+    "formula": "=SUM(L59:L60)",
+    "cached_value": 0,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "L",
+    "row": 66,
+    "formula": "=SUM(L64:L65)",
+    "cached_value": 0,
+    "pattern_id": "pf_0000"
+  },
+  {
+    "sheet": "WE-FLSH",
+    "col": "L",
+    "row": 72,
+    "formula": "=SUM(L70:L71)",
+    "cached_value": 0,
+    "pattern_id": "pf_0000"
+  }
+]
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/layers.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/layers.json
new file mode 100644
index 0000000000000000000000000000000000000000..5ec408c2945c46996b81e061c0b7def005d9d292
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/layers.json
@@ -0,0 +1,205 @@
+{
+  "dag_id": "dag_f52e38db3b39",
+  "file_id": "phillip_m_love__30154__9903_OA",
+  "category": "single_sheet",
+  "surface_category": "single_sheet",
+  "effective_category": "single_sheet",
+  "depth": 3,
+  "quality": {
+    "chain_error_cells": 0,
+    "chain_external_cells": 0,
+    "is_clean": true
+  },
+  "layers": [
+    {
+      "layer_index": 1,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00348",
+            "rg_00349",
+            "rg_00350",
+            "rg_00351",
+            "rg_00352",
+            "rg_00353"
+          ],
+          "sheet": "WE-FLSH",
+          "col": "L",
+          "rows": [
+            29,
+            42,
+            56,
+            61,
+            66,
+            72
+          ],
+          "row_ranges": "29,42,56,61,66,72",
+          "row_count": 6,
+          "pattern_id": "pf_0000",
+          "normalized_pattern": "=SUM([C,R-2]:[C,R-1])",
+          "sample_formula": "=SUM(L27:L28)"
+        }
+      ],
+      "new_eval_cells": 6,
+      "total_masked_cells": 6
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_10008",
+            "rg_10009",
+            "rg_10010",
+            "rg_10011",
+            "rg_10012",
+            "rg_10013",
+            "rg_10014",
+            "rg_10015",
+            "rg_10016",
+            "rg_10017",
+            "rg_10018",
+            "rg_10019",
+            "rg_10020",
+            "rg_10021"
+          ],
+          "sheet": "WE-FLSH",
+          "col": "L",
+          "rows": [
+            11,
+            12,
+            13,
+            14,
+            15,
+            19,
+            20,
+            21,
+            22,
+            23,
+            27,
+            28,
+            32,
+            33,
+            34,
+            35,
+            39,
+            40,
+            41,
+            45,
+            47,
+            49,
+            51,
+            54,
+            55,
+            59,
+            60,
+            64,
+            65,
+            70,
+            71,
+            73,
+            74,
+            75,
+            76,
+            77,
+            78,
+            79,
+            80,
+            81
+          ],
+          "row_ranges": "11-15,19-23,27-28,32-35,39-41,45,47,49,51,54-55,59-60,64-65,70-71,73-81",
+          "row_count": 40,
+          "pattern_id": "pf_0037",
+          "normalized_pattern": "=[C-4,R]+[C-2,R]",
+          "sample_formula": "=H11+J11"
+        }
+      ],
+      "new_eval_cells": 40,
+      "total_masked_cells": 46
+    },
+    {
+      "layer_index": 3,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_09831",
+            "rg_09832",
+            "rg_09833",
+            "rg_09834",
+            "rg_09835",
+            "rg_09836",
+            "rg_09837",
+            "rg_09838",
+            "rg_09839",
+            "rg_09840",
+            "rg_09841",
+            "rg_09842",
+            "rg_09843",
+            "rg_09844"
+          ],
+          "sheet": "WE-FLSH",
+          "col": "H",
+          "rows": [
+            11,
+            12,
+            13,
+            14,
+            15,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            27,
+            28,
+            32,
+            33,
+            34,
+            35,
+            38,
+            39,
+            40,
+            41,
+            45,
+            47,
+            49,
+            51,
+            54,
+            55,
+            59,
+            60,
+            64,
+            65,
+            70,
+            71,
+            73,
+            74,
+            75,
+            76,
+            77,
+            78,
+            79,
+            80,
+            81
+          ],
+          "row_ranges": "11-15,18-23,27-28,32-35,38-41,45,47,49,51,54-55,59-60,64-65,70-71,73-81",
+          "row_count": 42,
+          "pattern_id": "pf_0034",
+          "normalized_pattern": "=[C-4,R]",
+          "sample_formula": "=D11"
+        }
+      ],
+      "new_eval_cells": 42,
+      "total_masked_cells": 88
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00350",
+    "sheet": "WE-FLSH",
+    "col": "L",
+    "pattern_id": "pf_0000",
+    "row_count": 1,
+    "family_size": 6
+  }
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/nl_task.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/nl_task.json
new file mode 100644
index 0000000000000000000000000000000000000000..42cbe1550340f66f83b42e86d9571e50be63332c
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/nl_task.json
@@ -0,0 +1,26 @@
+{
+  "task_id": "single_sheet__dag_f52e38db3b39",
+  "prompt_en": "The WE-FLSH sheet is an Enron Capital & Trade Resources sales operational analysis view for production month 9903, with sections like Operational Analysis - Reclasses, Tie-Out Schedule, and Reported. Please complete the missing entries in the Volume column for the sales lines on this sheet: L29, L42, L56, L61, L66, and L72. Some of the detailed volume entries on the sheet need to be in place before the later reported or summary lines read correctly, so make sure the Volume column is completed consistently with the visible sections and labels. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "WE-FLSH 工作表是 Enron Capital & Trade Resources 针对生产月份 9903 的销售运营分析页面，其中包含 Operational Analysis - Reclasses、Tie-Out Schedule 和 Reported 等部分。请补全该工作表中 Sales 相关行的 Volume 列缺失值：L29、L42、L56、L61、L66 和 L72。表内一些明细的 Volume 项目需要先补齐，后面的 reported 或汇总类行才会对应得上，所以请根据可见的分区和标签，把 Volume 列填写一致。完成后请将工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt is minimal and business-contextual, names the sheet and target Volume cells, avoids formulas and operation hints, and mentions the natural dependency without spelling out any calculation steps.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 4,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
+      "operation_words": 0,
+      "cell_range_density": 4,
+      "step_by_step": 0,
+      "column_operation_mapping": 0,
+      "formula_pattern_hints": 0
+    },
+    "operation_words_found": [],
+    "cell_ranges_found": 0
+  },
+  "version": "v7",
+  "model": "gpt-5.5",
+  "elapsed": 31.5,
+  "attempt": 1
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/release_qc.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/release_qc.json
new file mode 100644
index 0000000000000000000000000000000000000000..24fbda349b62f5fc6c0f1eb589f2d478587c1441
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/release_qc.json
@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "CORRECT — the task is solvable from visible structure and has correct GT; only minor extra masking outside the task boundary is noted.",
+  "D1": {
+    "score": 4,
+    "reason": "All contract masked cells are real cells within the WE-FLSH sheet range, and the intended chain masking is coherent. There is substantial adjacent-column structural leakage: the needed H and L formulas can largely be inferred by parallel formulas in I/M and summary rows, but the solver still must reconstruct the H-to-L dependency chain across many rows, so it is not merely a single trivial copy. The main boundary issue is the MASK DIFF SUMMARY showing 4 extra truly masked cells outside the contract: RECLASS!A83, TIE-OUT!A83, TX-HPL-VAR !G50, and SE-CON-VAR!G50. These appear unrelated to the target task but reduce cleanliness."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The ground-truth layer-1 formulas match the source workbook: each final target is a deterministic SUM over the corresponding two detailed L cells, e.g. L42 = SUM(L40:L41) with cached value -36293. The cached values are consistent with the visible source values and no ambiguity or volatility is present."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL prompt clearly identifies the sheet and the exact final cells to complete: L29, L42, L56, L61, L66, and L72. It also hints that detailed volume entries must be completed for summaries to read correctly. Minor weakness: it describes them as 'sales lines,' while several are summary or tie-out/transport/storage lines, and it does not explicitly list the prerequisite H/L detail cells."
+  },
+  "D4": {
+    "score": 5,
+    "reason": "Using only mask_last.xlsx and the NL prompt, the task has sufficient root evidence. Headers show paired Volume/$ columns across D/E, F/G, H/I, J/K, and L/M. Visible formulas in the adjacent dollar columns and summary rows provide strong structural clues: I cells mirror E, M cells combine I+K, summaries use SUM over the same section ranges, and visible D/H/L summary relationships reveal the same section structure. The blank H detail cells can be inferred from the visible D values and parallel I=E pattern; the blank L detail cells can be inferred from H plus visible J; the final L cells then follow the visible section subtotal patterns. No hidden constants or cross-sheet references are required.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 5,
+    "reason": "The source spreadsheet appears sound for this task. The WE-FLSH formulas are internally consistent, column headers are meaningful and repeated in a regular operational-analysis layout, and the referenced rows and formulas align with cached values. No evidence of corrupted values, circular references, or broken formulas is present in the supplied source context."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The NL prompt sounds like a plausible workplace request: it names the business view, sheet, production month, and relevant sections, asks for completion of missing Volume entries, and avoids benchmark-specific jargon."
+  },
+  "total": 28,
+  "verdict": "RELEASE",
+  "verdict_reason": "Publishable as-is. GT is correct, the task is solvable from visible workbook evidence, and the NL is clear. The only notable issue is minor extra masking outside the contract, apparently unrelated to the target sheet/task.",
+  "frontier_hardness": {
+    "score": 2,
+    "reason": "A frontier model should likely succeed. Although the task has depth 3 and many masked cells, the formulas are highly regular, same-sheet only, and strongly evidenced by adjacent visible columns and section totals. There are no hidden constants, cross-sheet hops, or unusual boundary rules.",
+    "fail_reason": "easy",
+    "is_valid_hardness": false
+  },
+  "_prompt_chars": 75338,
+  "_timing_load_workbooks": 4.25,
+  "_timing_context": 0.15,
+  "_timing_api": 95.37,
+  "local_difficulty": {
+    "difficulty_score": 46.2,
+    "difficulty": "medium",
+    "depth": 3,
+    "total_masked": 88,
+    "is_cross_sheet": false,
+    "unique_patterns": 3,
+    "avg_complexity": 4,
+    "cross_refs": 0,
+    "visible_exemplar_ratio": 0.571
+  },
+  "task_id": "single_sheet__dag_f52e38db3b39",
+  "elapsed": 99.8,
+  "publish_decision": "YES",
+  "release_tier": "GOLD",
+  "hard_block_reasons": []
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/target_contract.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/target_contract.json
new file mode 100644
index 0000000000000000000000000000000000000000..6e3e9301717f7cc34d4e95c6815c61587c4347d7
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/target_contract.json
@@ -0,0 +1,154 @@
+{
+  "task_id": "single_sheet__dag_f52e38db3b39",
+  "category": "single_sheet",
+  "depth": 3,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "WE-FLSH",
+        "column": "L",
+        "column_header": "Volume",
+        "cell_range": "L29, L42, L56, L61, L66, L72",
+        "cell_count": 6,
+        "rows": [
+          29,
+          42,
+          56,
+          61,
+          66,
+          72
+        ],
+        "first_row_label": "Total Intra CTS Sales / Purchases",
+        "last_row_label": "Total MTM Income"
+      }
+    ],
+    "cell_count": 6,
+    "formula_families": [
+      "aggregation"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 3,
+      "regions": [
+        {
+          "sheet": "WE-FLSH",
+          "column": "H",
+          "column_header": "Volume",
+          "cell_range": "H11:H15, H18:H23, H27:H28, H32:H35, H38:H41, H45, H47, H49, H51, H54:H55, H59:H60, H64:H65, H70:H71, H73:H81",
+          "cell_count": 42,
+          "rows": [
+            11,
+            12,
+            13,
+            14,
+            15,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            27,
+            28,
+            32,
+            33,
+            34,
+            35,
+            38,
+            39,
+            40,
+            41,
+            45,
+            47,
+            49,
+            51,
+            54,
+            55,
+            59,
+            60,
+            64,
+            65,
+            70,
+            71,
+            73,
+            74,
+            75,
+            76,
+            77,
+            78,
+            79,
+            80,
+            81
+          ],
+          "first_row_label": "3rd Party / Inter Enron",
+          "last_row_label": "Miscellaneous"
+        }
+      ],
+      "cell_count": 42
+    },
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "WE-FLSH",
+          "column": "L",
+          "column_header": "Volume",
+          "cell_range": "L11:L15, L19:L23, L27:L28, L32:L35, L39:L41, L45, L47, L49, L51, L54:L55, L59:L60, L64:L65, L70:L71, L73:L81",
+          "cell_count": 40,
+          "rows": [
+            11,
+            12,
+            13,
+            14,
+            15,
+            19,
+            20,
+            21,
+            22,
+            23,
+            27,
+            28,
+            32,
+            33,
+            34,
+            35,
+            39,
+            40,
+            41,
+            45,
+            47,
+            49,
+            51,
+            54,
+            55,
+            59,
+            60,
+            64,
+            65,
+            70,
+            71,
+            73,
+            74,
+            75,
+            76,
+            77,
+            78,
+            79,
+            80,
+            81
+          ],
+          "first_row_label": "3rd Party / Inter Enron",
+          "last_row_label": "Miscellaneous"
+        }
+      ],
+      "cell_count": 40
+    }
+  ],
+  "total_prerequisite_cells": 82,
+  "total_masked_cells": 88,
+  "ratio_total_vs_final": 14.7,
+  "sheets_involved": [
+    "WE-FLSH"
+  ]
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/task_meta.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/task_meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..7c8eea0779363c67ee24e50d978475b7e13f3a54
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/task_meta.json
@@ -0,0 +1,217 @@
+{
+  "fcb_id": "FCB-01373",
+  "task_id": "single_sheet__dag_f52e38db3b39",
+  "tier": "T2_HARD",
+  "category": "single_sheet",
+  "depth": 3,
+  "total_masked": 88,
+  "is_cross_sheet": false,
+  "prompt_en": "The WE-FLSH sheet is an Enron Capital & Trade Resources sales operational analysis view for production month 9903, with sections like Operational Analysis - Reclasses, Tie-Out Schedule, and Reported. Please complete the missing entries in the Volume column for the sales lines on this sheet: L29, L42, L56, L61, L66, and L72. Some of the detailed volume entries on the sheet need to be in place before the later reported or summary lines read correctly, so make sure the Volume column is completed consistently with the visible sections and labels. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "WE-FLSH 工作表是 Enron Capital & Trade Resources 针对生产月份 9903 的销售运营分析页面，其中包含 Operational Analysis - Reclasses、Tie-Out Schedule 和 Reported 等部分。请补全该工作表中 Sales 相关行的 Volume 列缺失值：L29、L42、L56、L61、L66 和 L72。表内一些明细的 Volume 项目需要先补齐，后面的 reported 或汇总类行才会对应得上，所以请根据可见的分区和标签，把 Volume 列填写一致。完成后请将工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 28,
+    "verdict": "RELEASE",
+    "D1": 4,
+    "D2": 5,
+    "D3": 4,
+    "D4": 5,
+    "D5": 5,
+    "D6": 5,
+    "frontier_hardness": 2,
+    "local_difficulty": 46.2
+  },
+  "source_file_id": "phillip_m_love__30154__9903_OA",
+  "inferred_domain": "sales",
+  "domain_confidence": 0.75,
+  "sheet_profiles": [
+    {
+      "name": "Check",
+      "used_range": "A1:H129",
+      "row_count": 129,
+      "col_count": 8,
+      "has_header": false,
+      "title_hint": "Check",
+      "header_info": null
+    },
+    {
+      "name": "RECLASS",
+      "used_range": "A1:Z85",
+      "row_count": 85,
+      "col_count": 26,
+      "has_header": false,
+      "title_hint": "RECLASS",
+      "header_info": null
+    },
+    {
+      "name": "TIE-OUT",
+      "used_range": "A1:Z92",
+      "row_count": 92,
+      "col_count": 26,
+      "has_header": false,
+      "title_hint": "TIE OUT",
+      "header_info": null
+    },
+    {
+      "name": "NE-FLSH",
+      "used_range": "A1:BO91",
+      "row_count": 91,
+      "col_count": 67,
+      "has_header": false,
+      "title_hint": "NE FLSH",
+      "header_info": null
+    },
+    {
+      "name": "WE-FLSH",
+      "used_range": "A1:BO83",
+      "row_count": 83,
+      "col_count": 67,
+      "has_header": false,
+      "title_hint": "WE FLSH",
+      "header_info": null
+    },
+    {
+      "name": "CE_GL",
+      "used_range": "A1:AS83",
+      "row_count": 83,
+      "col_count": 45,
+      "has_header": false,
+      "title_hint": "CE GL",
+      "header_info": null
+    },
+    {
+      "name": "NE_GL",
+      "used_range": "A1:AS91",
+      "row_count": 91,
+      "col_count": 45,
+      "has_header": false,
+      "title_hint": "NE GL",
+      "header_info": null
+    },
+    {
+      "name": "SE-EGM-GL",
+      "used_range": "A1:AS83",
+      "row_count": 83,
+      "col_count": 45,
+      "has_header": false,
+      "title_hint": "SE EGM GL",
+      "header_info": null
+    },
+    {
+      "name": "SE-LRC-GL",
+      "used_range": "A1:CX84",
+      "row_count": 84,
+      "col_count": 102,
+      "has_header": false,
+      "title_hint": "SE LRC GL",
+      "header_info": null
+    },
+    {
+      "name": "SE-CON-GL ",
+      "used_range": "A1:AS84",
+      "row_count": 84,
+      "col_count": 45,
+      "has_header": false,
+      "title_hint": "SE CON GL",
+      "header_info": null
+    },
+    {
+      "name": "EAST-CON-GL",
+      "used_range": "A1:AS91",
+      "row_count": 91,
+      "col_count": 45,
+      "has_header": false,
+      "title_hint": "EAST CON GL",
+      "header_info": null
+    },
+    {
+      "name": "TX-EGM-GL",
+      "used_range": "A1:BY91",
+      "row_count": 91,
+      "col_count": 77,
+      "has_header": false,
+      "title_hint": "TX EGM GL",
+      "header_info": null
+    },
+    {
+      "name": "TX-HPL-GL ",
+      "used_range": "A1:AS93",
+      "row_count": 93,
+      "col_count": 45,
+      "has_header": false,
+      "title_hint": "TX HPL GL",
+      "header_info": null
+    },
+    {
+      "name": "TX-CON-GL ",
+      "used_range": "A1:BY91",
+      "row_count": 91,
+      "col_count": 77,
+      "has_header": false,
+      "title_hint": "TX CON GL",
+      "header_info": null
+    },
+    {
+      "name": "WE-GL ",
+      "used_range": "A1:AS83",
+      "row_count": 83,
+      "col_count": 45,
+      "has_header": false,
+      "title_hint": "WE GL",
+      "header_info": null
+    },
+    {
+      "name": "BGC_GL",
+      "used_range": "A1:AS83",
+      "row_count": 83,
+      "col_count": 45,
+      "has_header": false,
+      "title_hint": "BGC GL",
+      "header_info": null
+    },
+    {
+      "name": "STG_GL",
+      "used_range": "A1:AS84",
+      "row_count": 84,
+      "col_count": 45,
+      "has_header": false,
+      "title_hint": "STG GL",
+      "header_info": null
+    },
+    {
+      "name": "ONT_GL ",
+      "used_range": "A1:BY91",
+      "row_count": 91,
+      "col_count": 77,
+      "has_header": false,
+      "title_hint": "ONT GL",
+      "header_info": null
+    },
+    {
+      "name": "SE-CON-VAR",
+      "used_range": "A1:BK83",
+      "row_count": 83,
+      "col_count": 63,
+      "has_header": false,
+      "title_hint": "SE CON VAR",
+      "header_info": null
+    },
+    {
+      "name": "TX-HPL-VAR ",
+      "used_range": "A1:BK83",
+      "row_count": 83,
+      "col_count": 63,
+      "has_header": false,
+      "title_hint": "TX HPL VAR",
+      "header_info": null
+    },
+    {
+      "name": "Actuals",
+      "used_range": "A1:DN654",
+      "row_count": 654,
+      "col_count": 118,
+      "has_header": false,
+      "title_hint": "Actuals",
+      "header_info": null
+    }
+  ]
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/audit.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/audit.json
new file mode 100644
index 0000000000000000000000000000000000000000..16e97633aff8997c732df293dd3260b835c0911c
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/audit.json
@@ -0,0 +1,579 @@
+{
+  "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 25 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=46961B, src=77695B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=3.0 (total=76, final=25)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "41 unique values across 76 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: Test!E→Jean Pierre Soullière!E(25/25), Test!F→Jean Pierre Soullière!F(25/25)"
+        },
+        {
+          "check": "header_name_accuracy",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "duplicate_lookup_tie_break",
+          "pass": true,
+          "detail": "no lookup formulas"
+        },
+        {
+          "check": "src_chain_integrity",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean",
+          "sub_checks": {
+            "error_cells": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "external_refs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "volatile_funcs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "missing_sheets": {
+              "pass": true,
+              "count": 0,
+              "sheets": []
+            },
+            "circular_refs": {
+              "pass": true,
+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
+        }
+      ]
+    },
+    "post_nl_validate": {
+      "validate_label": "SOFT_WARN",
+      "validate_pass": true,
+      "hard_fails": 0,
+      "soft_warns": 1,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": true,
+          "detail": "contract=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=2, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": false,
+          "detail": "contract=['Jean Pierre Soullière', 'Player DATA'], missing=['Player 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 25 GT cells",
+          "severity": "OK"
+        },
+        {
+          "check": "final_target_first",
+          "pass": true,
+          "detail": "no explicit final target marker (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "output_format",
+          "pass": true,
+          "detail": "output format found",
+          "severity": "OK"
+        },
+        {
+          "check": "header_in_prompt",
+          "pass": true,
+          "detail": "no column headers found in prompt",
+          "severity": "OK"
+        },
+        {
+          "check": "hint_specificity",
+          "pass": true,
+          "detail": "clean",
+          "severity": "OK"
+        },
+        {
+          "check": "evidence_scope",
+          "pass": false,
+          "detail": "referenced=1 mentioned=0 missing=1 [Player DATA]",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 3 col groups"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": true,
+          "detail": "GT funcs: ['RANK', '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 76 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": 76,
+      "total_non_none": 76,
+      "block_reasons": [],
+      "warnings": [
+        "rank_ties:25"
+      ],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 25,
+          "tie_issues": 25,
+          "details": [
+            {
+              "cell": "Jean Pierre Soullière!E5",
+              "tied_values": {
+                "0": 6
+              }
+            },
+            {
+              "cell": "Jean Pierre Soullière!E6",
+              "tied_values": {
+                "0": 6
+              }
+            },
+            {
+              "cell": "Jean Pierre Soullière!E7",
+              "tied_values": {
+                "0": 6
+              }
+            },
+            {
+              "cell": "Jean Pierre Soullière!E8",
+              "tied_values": {
+                "0": 6
+              }
+            },
+            {
+              "cell": "Jean Pierre Soullière!E9",
+              "tied_values": {
+                "0": 6
+              }
+            },
+            {
+              "cell": "Jean Pierre Soullière!E10",
+              "tied_values": {
+                "0": 6
+              }
+            },
+            {
+              "cell": "Jean Pierre Soullière!E11",
+              "tied_values": {
+                "0": 6
+              }
+            },
+            {
+              "cell": "Jean Pierre Soullière!E12",
+              "tied_values": {
+                "0": 6
+              }
+            },
+            {
+              "cell": "Jean Pierre Soullière!E13",
+              "tied_values": {
+                "0": 6
+              }
+            },
+            {
+              "cell": "Jean Pierre Soullière!E14",
+              "tied_values": {
+                "0": 6
+              }
+            }
+          ]
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "int": 76
+          },
+          "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": 76
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 76,
+      "total_masked": 76,
+      "total_visible": 750,
+      "depth": 3,
+      "block_reasons": [
+        "broken_chains:26/76=34.2%"
+      ],
+      "warnings": [],
+      "checks": {
+        "broken_chains": {
+          "count": 26,
+          "checked": 76,
+          "details": [
+            {
+              "cell": "Player DATA!R6",
+              "missing_dep": "Player DATA!C6",
+              "formula": "=SUM(C6:Q6)"
+            },
+            {
+              "cell": "Player DATA!R3",
+              "missing_dep": "Player DATA!C3",
+              "formula": "=SUM(C3:Q3)"
+            },
+            {
+              "cell": "Player DATA!R9",
+              "missing_dep": "Player DATA!C9",
+              "formula": "=SUM(C9:Q9)"
+            },
+            {
+              "cell": "Player DATA!R15",
+              "missing_dep": "Player DATA!C15",
+              "formula": "=SUM(C15:Q15)"
+            },
+            {
+              "cell": "Player DATA!R12",
+              "missing_dep": "Player DATA!C12",
+              "formula": "=SUM(C12:Q12)"
+            },
+            {
+              "cell": "Player DATA!R18",
+              "missing_dep": "Player DATA!C18",
+              "formula": "=SUM(C18:Q18)"
+            },
+            {
+              "cell": "Player DATA!R21",
+              "missing_dep": "Player DATA!C21",
+              "formula": "=SUM(C21:Q21)"
+            },
+            {
+              "cell": "Player DATA!R27",
+              "missing_dep": "Player DATA!C27",
+              "formula": "=SUM(C27:Q27)"
+            },
+            {
+              "cell": "Player DATA!R24",
+              "missing_dep": "Player DATA!C24",
+              "formula": "=SUM(C24:Q24)"
+            },
+            {
+              "cell": "Player DATA!R8",
+              "missing_dep": "Player DATA!C8",
+              "formula": "=SUM(C8:Q8)"
+            },
+            {
+              "cell": "Player DATA!R5",
+              "missing_dep": "Player DATA!C5",
+              "formula": "=SUM(C5:Q5)"
+            },
+            {
+              "cell": "Player DATA!R11",
+              "missing_dep": "Player DATA!C11",
+              "formula": "=SUM(C11:Q11)"
+            },
+            {
+              "cell": "Player DATA!R14",
+              "missing_dep": "Player DATA!C14",
+              "formula": "=SUM(C14:Q14)"
+            },
+            {
+              "cell": "Player DATA!R20",
+              "missing_dep": "Player DATA!C20",
+              "formula": "=SUM(C20:Q20)"
+            },
+            {
+              "cell": "Player DATA!R17",
+              "missing_dep": "Player DATA!C17",
+              "formula": "=SUM(C17:Q17)"
+            },
+            {
+              "cell": "Player DATA!R23",
+              "missing_dep": "Player DATA!C23",
+              "formula": "=SUM(C23:Q23)"
+            },
+            {
+              "cell": "Player DATA!R26",
+              "missing_dep": "Player DATA!C26",
+              "formula": "=SUM(C26:Q26)"
+            },
+            {
+              "cell": "Player DATA!R4",
+              "missing_dep": "Player DATA!C4",
+              "formula": "=SUM(C4:Q4)"
+            },
+            {
+              "cell": "Player DATA!R7",
+              "missing_dep": "Player DATA!C7",
+              "formula": "=SUM(C7:Q7)"
+            },
+            {
+              "cell": "Player DATA!R13",
+              "missing_dep": "Player DATA!C13",
+              "formula": "=SUM(C13:Q13)"
+            }
+          ]
+        },
+        "orphan_masks": {
+          "count": 0,
+          "details": []
+        },
+        "self_contained": {
+          "missing_sheets": []
+        }
+      }
+    },
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+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/ground_truth_full.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/ground_truth_full.json
new file mode 100644
index 0000000000000000000000000000000000000000..f55190c4c57edc68abb9c1d15da6166cf1662691
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/ground_truth_full.json
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+  {
+    "sheet": "Player DATA",
+    "col": "R",
+    "row": 28,
+    "formula": "=SUM(C28:Q28)",
+    "cached_value": 446,
+    "pattern_id": "pf_0036",
+    "layer": 3
+  }
+]
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/ground_truth_target.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/ground_truth_target.json
new file mode 100644
index 0000000000000000000000000000000000000000..758a7ba2a315282a90fcebe5f758ee979f34920b
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/ground_truth_target.json
@@ -0,0 +1,202 @@
+[
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 5,
+    "formula": "=RANK(F5,F$5:F$29)",
+    "cached_value": 8,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 6,
+    "formula": "=RANK(F6,F$5:F$29)",
+    "cached_value": 12,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 7,
+    "formula": "=RANK(F7,F$5:F$29)",
+    "cached_value": 2,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 8,
+    "formula": "=RANK(F8,F$5:F$29)",
+    "cached_value": 17,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 9,
+    "formula": "=RANK(F9,F$5:F$29)",
+    "cached_value": 4,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 10,
+    "formula": "=RANK(F10,F$5:F$29)",
+    "cached_value": 7,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 11,
+    "formula": "=RANK(F11,F$5:F$29)",
+    "cached_value": 15,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 12,
+    "formula": "=RANK(F12,F$5:F$29)",
+    "cached_value": 1,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 13,
+    "formula": "=RANK(F13,F$5:F$29)",
+    "cached_value": 14,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 14,
+    "formula": "=RANK(F14,F$5:F$29)",
+    "cached_value": 19,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 15,
+    "formula": "=RANK(F15,F$5:F$29)",
+    "cached_value": 3,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 16,
+    "formula": "=RANK(F16,F$5:F$29)",
+    "cached_value": 9,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 17,
+    "formula": "=RANK(F17,F$5:F$29)",
+    "cached_value": 11,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 18,
+    "formula": "=RANK(F18,F$5:F$29)",
+    "cached_value": 16,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 19,
+    "formula": "=RANK(F19,F$5:F$29)",
+    "cached_value": 10,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 20,
+    "formula": "=RANK(F20,F$5:F$29)",
+    "cached_value": 20,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 21,
+    "formula": "=RANK(F21,F$5:F$29)",
+    "cached_value": 13,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 22,
+    "formula": "=RANK(F22,F$5:F$29)",
+    "cached_value": 6,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 23,
+    "formula": "=RANK(F23,F$5:F$29)",
+    "cached_value": 5,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 24,
+    "formula": "=RANK(F24,F$5:F$29)",
+    "cached_value": 18,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 25,
+    "formula": "=RANK(F25,F$5:F$29)",
+    "cached_value": 20,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 26,
+    "formula": "=RANK(F26,F$5:F$29)",
+    "cached_value": 20,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 27,
+    "formula": "=RANK(F27,F$5:F$29)",
+    "cached_value": 20,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 28,
+    "formula": "=RANK(F28,F$5:F$29)",
+    "cached_value": 20,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "row": 29,
+    "formula": "=RANK(F29,F$5:F$29)",
+    "cached_value": 20,
+    "pattern_id": "pf_0003"
+  }
+]
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/layers.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/layers.json
new file mode 100644
index 0000000000000000000000000000000000000000..496f0946ef2c15f295ad71d02e96e8ea03284cf2
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/layers.json
@@ -0,0 +1,162 @@
+{
+  "dag_id": "dag_0b4ef765af4b",
+  "file_id": "67085d1267713025-adding-data-over-existing-chart-720326",
+  "category": "cross_sheet",
+  "surface_category": "cross_sheet",
+  "effective_category": "cross_sheet",
+  "depth": 3,
+  "quality": {
+    "chain_error_cells": 0,
+    "chain_external_cells": 0,
+    "is_clean": true
+  },
+  "layers": [
+    {
+      "layer_index": 1,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00068"
+          ],
+          "sheet": "Jean Pierre Soullière",
+          "col": "E",
+          "rows": [
+            5,
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28,
+            29
+          ],
+          "row_ranges": "5-29",
+          "row_count": 25,
+          "pattern_id": "pf_0003",
+          "normalized_pattern": "=RANK([C+1,R],[C+1,$5]:[C+1,$29])",
+          "sample_formula": "=RANK(F5,F$5:F$29)"
+        }
+      ],
+      "new_eval_cells": 25,
+      "total_masked_cells": 25
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00076"
+          ],
+          "sheet": "Jean Pierre Soullière",
+          "col": "F",
+          "rows": [
+            5,
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28,
+            29
+          ],
+          "row_ranges": "5-29",
+          "row_count": 25,
+          "pattern_id": "pf_0005",
+          "normalized_pattern": "='PLAYERDATA'![C+12,R-2]",
+          "sample_formula": "='Player DATA'!R3"
+        }
+      ],
+      "new_eval_cells": 25,
+      "total_masked_cells": 50
+    },
+    {
+      "layer_index": 3,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00924"
+          ],
+          "sheet": "Player DATA",
+          "col": "R",
+          "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,
+            27,
+            28
+          ],
+          "row_ranges": "3-28",
+          "row_count": 26,
+          "pattern_id": "pf_0036",
+          "normalized_pattern": "=SUM([C-15,R]:[C-1,R])",
+          "sample_formula": "=SUM(C3:Q3)"
+        }
+      ],
+      "new_eval_cells": 26,
+      "total_masked_cells": 76
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00068",
+    "sheet": "Jean Pierre Soullière",
+    "col": "E",
+    "pattern_id": "pf_0003",
+    "row_count": 25,
+    "family_size": 25
+  }
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/mask_last.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..1d53489bbf51c1e335dbe30d317f8d342b771da2
Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/mask_last.xlsx differ
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/nl_task.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/nl_task.json
new file mode 100644
index 0000000000000000000000000000000000000000..4f2e7aa210f906b8bc9d648981a6cfce8b99abc7
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/nl_task.json
@@ -0,0 +1,26 @@
+{
+  "task_id": "cross_sheet__dag_0b4ef765af4b",
+  "prompt_en": "The Ligue de Billard De Cowansville workbook is laid out around player standings and result information, with labels like Points, Mon pointage, Pos., Résultats, Joueurs, $$$, and Consommation appearing across the sheets. On the sheet named \"Jean Pierre Soullière\", please complete the missing entries in the \"Avant Noël\" column, specifically cells E5:E29. Some of the blank player/result fields in the workbook connect naturally with other blank fields, so make sure the related entries are in place as needed before finalizing this column. Please save the completed workbook as an .xlsx file.",
+  "prompt_cn": "这份 “Ligue de Billard De Cowansville” 工作簿是围绕球员排名和比赛结果信息整理的，表中可以看到 Points、Mon pointage、Pos.、Résultats、Joueurs、$$$ 和 Consommation 等标签。请在名为 “Jean Pierre Soullière” 的工作表中，补全 “Avant Noël” 列里缺失的内容，位置是 E5:E29。有些空白的球员或结果字段会和工作簿中的其他空白字段自然关联，所以在最终填写这一列之前，请确保相关内容也已经就位。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, names the relevant sheet and target column/range, and avoids formulas, calculation instructions, and operational hints while noting the natural dependency between blank fields.",
+  "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": 37.5,
+  "attempt": 2
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/release_qc.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/release_qc.json
new file mode 100644
index 0000000000000000000000000000000000000000..e5544bf7919780842caa1b3279cceb758629f2ee
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/release_qc.json
@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "Well-designed: the mask is clean, all cells are real, GT is consistent, and the dependency chain is reconstructible from visible workbook structure.",
+  "D1": {
+    "score": 5,
+    "reason": "All 76 contract cells are truly masked and within the actual sheet ranges; there are no phantom cells and no extra masking outside the contract. Visible rank formulas in adjacent columns provide structural clues but do not make the whole task trivially copyable because the solver must still infer the F-to-Player DATA R linkage and reconstruct Player DATA totals."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The layer-1 formulas are consistent and deterministic: Jean Pierre Soullière!E5:E29 rank the corresponding F-row value against F$5:F$29. This matches the visible standings-table structure and cached rank outputs appear coherent, including tied low/zero totals receiving the same rank."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL clearly identifies the target sheet, column, and cell range E5:E29, and mentions related blank fields may need completion first. It is slightly underspecified about the Player DATA prerequisite sheet and the exact nature of the dependency chain, but not contradictory or incomprehensible."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "From mask_last.xlsx and the NL alone, the task is reconstructible. The E-column ranking pattern is strongly suggested by adjacent visible Pos./Résultats columns G/H and I/J using RANK over the result columns. The F-column cross-sheet references can be inferred from the analogous visible H-column references to Player DATA and the row-aligned player references in column B. Player DATA column R is headed 'Total de points' and sits beside visible COUNT(C:Q) formulas in S, giving a strong clue that R should total the pre-Christmas date columns C:Q. The main minor gap is that the SUM formula for R is not directly visible in an unmasked exemplar, so the solver must infer it from headers and adjacent formulas.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 5,
+    "reason": "The source workbook appears structurally sound: formulas are regular, headers are meaningful, cross-sheet references are valid, and there are no indicated broken formulas, circular references, corrupted values, or source-data anomalies."
+  },
+  "D6": {
+    "score": 4,
+    "reason": "The NL sounds mostly like a realistic workbook-completion request and avoids explicit benchmark jargon. It is somewhat generic and cell-range-oriented, but still natural enough for a spreadsheet task."
+  },
+  "total": 27,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality chain-masked cross-sheet task with clean masking, valid GT, and enough visible evidence to reconstruct the dependency chain. Minor NL underspecification does not prevent solvability.",
+  "frontier_hardness": {
+    "score": 3,
+    "reason": "The task is moderately hard because it requires reconstructing a three-layer chain across two sheets, including ranking, cross-sheet references, and inferred totals. However, the visible adjacent rank/reference patterns and Player DATA headers provide enough evidence that a strong frontier model could likely solve it with careful reasoning.",
+    "fail_reason": "cross_sheet_multi_hop",
+    "is_valid_hardness": true
+  },
+  "_prompt_chars": 40445,
+  "_timing_load_workbooks": 0.56,
+  "_timing_context": 0.02,
+  "_timing_api": 31.19,
+  "local_difficulty": {
+    "difficulty_score": 70.8,
+    "difficulty": "hard",
+    "depth": 3,
+    "total_masked": 76,
+    "is_cross_sheet": true,
+    "unique_patterns": 3,
+    "avg_complexity": 4,
+    "cross_refs": 25,
+    "visible_exemplar_ratio": 0.074
+  },
+  "task_id": "cross_sheet__dag_0b4ef765af4b",
+  "elapsed": 31.8,
+  "publish_decision": "YES",
+  "release_tier": "GOLD",
+  "hard_block_reasons": []
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/src.xlsx b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/src.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..67ec53c404e0af8fb7599d3fd918b5d40bf33642
Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/src.xlsx differ
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/target_contract.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/target_contract.json
new file mode 100644
index 0000000000000000000000000000000000000000..c9bc6450daee3d553b5b09292c709126b5313a09
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/target_contract.json
@@ -0,0 +1,143 @@
+{
+  "task_id": "cross_sheet__dag_0b4ef765af4b",
+  "category": "cross_sheet",
+  "depth": 3,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "Jean Pierre Soullière",
+        "column": "E",
+        "column_header": "Avant Noël",
+        "cell_range": "E5:E29",
+        "cell_count": 25,
+        "rows": [
+          5,
+          6,
+          7,
+          8,
+          9,
+          10,
+          11,
+          12,
+          13,
+          14,
+          15,
+          16,
+          17,
+          18,
+          19,
+          20,
+          21,
+          22,
+          23,
+          24,
+          25,
+          26,
+          27,
+          28,
+          29
+        ],
+        "first_row_label": "Alain Piette",
+        "last_row_label": "Spare"
+      }
+    ],
+    "cell_count": 25,
+    "formula_families": [
+      "ranking"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 3,
+      "regions": [
+        {
+          "sheet": "Player DATA",
+          "column": "R",
+          "column_header": "Total de points",
+          "cell_range": "R3:R28",
+          "cell_count": 26,
+          "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,
+            27,
+            28
+          ],
+          "first_row_label": "Alain Piette",
+          "last_row_label": "Total Possible"
+        }
+      ],
+      "cell_count": 26
+    },
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Jean Pierre Soullière",
+          "column": "F",
+          "column_header": "Résultats",
+          "cell_range": "F5:F29",
+          "cell_count": 25,
+          "rows": [
+            5,
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28,
+            29
+          ],
+          "first_row_label": "Alain Piette",
+          "last_row_label": "Spare"
+        }
+      ],
+      "cell_count": 25
+    }
+  ],
+  "total_prerequisite_cells": 51,
+  "total_masked_cells": 76,
+  "ratio_total_vs_final": 3.0,
+  "sheets_involved": [
+    "Jean Pierre Soullière",
+    "Player DATA"
+  ]
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/task_meta.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/task_meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..e274be57b542a2be47c166664c76f17d985fa0da
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/task_meta.json
@@ -0,0 +1,91 @@
+{
+  "fcb_id": "FCB-01389",
+  "task_id": "cross_sheet__dag_0b4ef765af4b",
+  "tier": "T2_HARD",
+  "category": "cross_sheet",
+  "depth": 3,
+  "total_masked": 76,
+  "is_cross_sheet": true,
+  "prompt_en": "The Ligue de Billard De Cowansville workbook is laid out around player standings and result information, with labels like Points, Mon pointage, Pos., Résultats, Joueurs, $$$, and Consommation appearing across the sheets. On the sheet named \"Jean Pierre Soullière\", please complete the missing entries in the \"Avant Noël\" column, specifically cells E5:E29. Some of the blank player/result fields in the workbook connect naturally with other blank fields, so make sure the related entries are in place as needed before finalizing this column. Please save the completed workbook as an .xlsx file.",
+  "prompt_cn": "这份 “Ligue de Billard De Cowansville” 工作簿是围绕球员排名和比赛结果信息整理的，表中可以看到 Points、Mon pointage、Pos.、Résultats、Joueurs、$$$ 和 Consommation 等标签。请在名为 “Jean Pierre Soullière” 的工作表中，补全 “Avant Noël” 列里缺失的内容，位置是 E5:E29。有些空白的球员或结果字段会和工作簿中的其他空白字段自然关联，所以在最终填写这一列之前，请确保相关内容也已经就位。请将完成后的工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 27,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 4,
+    "D4": 4,
+    "D5": 5,
+    "D6": 4,
+    "frontier_hardness": 3,
+    "local_difficulty": 70.8
+  },
+  "source_file_id": "67085d1267713025-adding-data-over-existing-chart-720326",
+  "inferred_domain": "general",
+  "domain_confidence": 0.0,
+  "sheet_profiles": [
+    {
+      "name": "Jean Pierre Soullière",
+      "used_range": "A1:M30",
+      "row_count": 30,
+      "col_count": 13,
+      "has_header": false,
+      "title_hint": "Jean Pierre Soullière",
+      "header_info": null
+    },
+    {
+      "name": "Player DATA",
+      "used_range": "A1:AM29",
+      "row_count": 29,
+      "col_count": 39,
+      "has_header": false,
+      "title_hint": "Player DATA",
+      "header_info": null
+    },
+    {
+      "name": "Marie-Ève",
+      "used_range": "A1:D31",
+      "row_count": 31,
+      "col_count": 4,
+      "has_header": false,
+      "title_hint": "Marie Ève",
+      "header_info": null
+    },
+    {
+      "name": "Fax",
+      "used_range": "A1:C30",
+      "row_count": 30,
+      "col_count": 3,
+      "has_header": false,
+      "title_hint": "Fax",
+      "header_info": null
+    },
+    {
+      "name": "Calculations",
+      "used_range": "B1:CQ30",
+      "row_count": 30,
+      "col_count": 94,
+      "has_header": false,
+      "title_hint": "Calculations",
+      "header_info": null
+    },
+    {
+      "name": "Graph Data",
+      "used_range": "A1:AL33",
+      "row_count": 33,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "Graph Data",
+      "header_info": null
+    },
+    {
+      "name": "Test",
+      "used_range": "A1:P30",
+      "row_count": 30,
+      "col_count": 16,
+      "has_header": false,
+      "title_hint": "Test",
+      "header_info": null
+    }
+  ]
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/audit.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/audit.json
new file mode 100644
index 0000000000000000000000000000000000000000..ed835a8e27c607dc9c4c219f5ca2f74b91eed641
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/audit.json
@@ -0,0 +1,530 @@
+{
+  "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=55163B, src=77837B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=3.1 (total=31, final=10)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "17 unique values across 30 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: Rep A!C→D(5/10), Rep A!E→D(5/10), Rep A!C→D(12/20), Rep A!E→D(13/20)"
+        },
+        {
+          "check": "header_name_accuracy",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "duplicate_lookup_tie_break",
+          "pass": true,
+          "severity": null,
+          "detail": "20 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": true,
+          "detail": "contract=21, 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=2, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": true,
+          "detail": "contract=['Rep A'], 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": false,
+          "detail": "issues: use the visible",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "evidence_scope",
+          "pass": false,
+          "detail": "referenced=1 mentioned=0 missing=1 [Data Dump]",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 2 col groups; CONFLICTS: Rep A!B4: visible='=INDEX('Data Dump'!$B$3:$Y$18,' vs GT pattern='=MID(CELL(\"filename\",A#),FIND('; Rep A!B5: visible='=INDEX('Data Dump'!$B$3:$Y$18,' vs GT pattern='=MID(CELL(\"filename\",A#),FIND('"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": false,
+          "detail": "GT funcs: ['CELL', 'FIND', 'IF', 'INDEX', 'MATCH', 'MID']; MISMATCHES: GT uses INDEX but NL doesn't mention any of: find, index, look up, lookup; GT uses MATCH but NL doesn't mention any of: find, match, position",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "unmatched_default_rule",
+          "pass": true,
+          "detail": "no default-rule phrase found in NL",
+          "severity": "OK"
+        },
+        {
+          "check": "volatile_function_freeze",
+          "pass": true,
+          "detail": "volatile_cells=0",
+          "severity": "OK"
+        },
+        {
+          "check": "direct_answer_leakage",
+          "pass": true,
+          "detail": "1 leaks out of 31 GT cells (3%); examples: Rep A!B1=Rep A",
+          "severity": "OK"
+        }
+      ]
+    },
+    "pre_nl_local": {
+      "local_total": 60,
+      "local_label": "PENDING_NL",
+      "hard_fail_flags": [],
+      "warnings": [
+        "nl_missing"
+      ],
+      "local_subscores": {
+        "family_clean": 25,
+        "target_integrity": 15,
+        "taxonomy": 10,
+        "semantic_signal": 10,
+        "nl_schema": 0,
+        "target_alignment": 0,
+        "business_specificity": 0,
+        "nl_risk": 0
+      }
+    }
+  },
+  "verify": {
+    "uniqueness": {
+      "total_gt_cells": 31,
+      "total_non_none": 31,
+      "block_reasons": [],
+      "warnings": [
+        "mixed_gt_types:{'float': 8, 'int': 18, 'str': 5}"
+      ],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "float": 8,
+            "int": 18,
+            "str": 5
+          },
+          "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": 31
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 31,
+      "total_masked": 31,
+      "total_visible": 1554,
+      "depth": 3,
+      "block_reasons": [
+        "broken_chains:20/31=64.5%"
+      ],
+      "warnings": [],
+      "checks": {
+        "broken_chains": {
+          "count": 20,
+          "checked": 31,
+          "details": [
+            {
+              "cell": "Rep A!D5",
+              "missing_dep": "Data Dump!H3",
+              "formula": "=INDEX('Data Dump'!$B$3:$Y$18, MATCH($B$1, 'Data Dump'!$A$3:$A$18, 0), MATCH(D$2"
+            },
+            {
+              "cell": "Rep A!D11",
+              "missing_dep": "Data Dump!C55",
+              "formula": "=INDEX('Data Dump'!$B$41:$Y$56, MATCH($B$1, 'Data Dump'!$A$41:$A$56, 0), MATCH(D"
+            },
+            {
+              "cell": "Rep A!D8",
+              "missing_dep": "Data Dump!H22",
+              "formula": "=INDEX('Data Dump'!$B$22:$Y$37, MATCH($B$1, 'Data Dump'!$A$22:$A$37, 0), MATCH(D"
+            },
+            {
+              "cell": "Rep A!D35",
+              "missing_dep": "Data Dump!B74",
+              "formula": "=INDEX('Data Dump'!$B$60:$Y$75, MATCH($B$1, 'Data Dump'!$A$60:$A$75, 0), MATCH(D"
+            },
+            {
+              "cell": "Rep A!D38",
+              "missing_dep": "Data Dump!B93",
+              "formula": "=INDEX('Data Dump'!$B$79:$Y$94, MATCH($B$1, 'Data Dump'!$A$79:$A$94, 0), MATCH(D"
+            },
+            {
+              "cell": "Rep A!D4",
+              "missing_dep": "Data Dump!H3",
+              "formula": "=INDEX('Data Dump'!$B$3:$Y$18, MATCH($B$1, 'Data Dump'!$A$3:$A$18, 0), MATCH(D$2"
+            },
+            {
+              "cell": "Rep A!D7",
+              "missing_dep": "Data Dump!H22",
+              "formula": "=INDEX('Data Dump'!$B$22:$Y$37, MATCH($B$1, 'Data Dump'!$A$22:$A$37, 0), MATCH(D"
+            },
+            {
+              "cell": "Rep A!D10",
+              "missing_dep": "Data Dump!C55",
+              "formula": "=INDEX('Data Dump'!$B$41:$Y$56, MATCH($B$1, 'Data Dump'!$A$41:$A$56, 0), MATCH(D"
+            },
+            {
+              "cell": "Rep A!D16",
+              "missing_dep": "Data Dump!B74",
+              "formula": "=INDEX('Data Dump'!$B$60:$Y$75, MATCH($B$1, 'Data Dump'!$A$60:$A$75, 0), MATCH(D"
+            },
+            {
+              "cell": "Rep A!D19",
+              "missing_dep": "Data Dump!B93",
+              "formula": "=INDEX('Data Dump'!$B$79:$Y$94, MATCH($B$1, 'Data Dump'!$A$79:$A$94, 0), MATCH(D"
+            },
+            {
+              "cell": "Rep A!D25",
+              "missing_dep": "Data Dump!H3",
+              "formula": "=INDEX('Data Dump'!$B$3:$Y$18, MATCH($B$1, 'Data Dump'!$A$3:$A$18, 0), MATCH(D$2"
+            },
+            {
+              "cell": "Rep A!D28",
+              "missing_dep": "Data Dump!H22",
+              "formula": "=INDEX('Data Dump'!$B$22:$Y$37, MATCH($B$1, 'Data Dump'!$A$22:$A$37, 0), MATCH(D"
+            },
+            {
+              "cell": "Rep A!D31",
+              "missing_dep": "Data Dump!C55",
+              "formula": "=INDEX('Data Dump'!$B$41:$Y$56, MATCH($B$1, 'Data Dump'!$A$41:$A$56, 0), MATCH(D"
+            },
+            {
+              "cell": "Rep A!D18",
+              "missing_dep": "Data Dump!B93",
+              "formula": "=INDEX('Data Dump'!$B$79:$Y$94, MATCH($B$1, 'Data Dump'!$A$79:$A$94, 0), MATCH(D"
+            },
+            {
+              "cell": "Rep A!D15",
+              "missing_dep": "Data Dump!B74",
+              "formula": "=INDEX('Data Dump'!$B$60:$Y$75, MATCH($B$1, 'Data Dump'!$A$60:$A$75, 0), MATCH(D"
+            },
+            {
+              "cell": "Rep A!D24",
+              "missing_dep": "Data Dump!H3",
+              "formula": "=INDEX('Data Dump'!$B$3:$Y$18, MATCH($B$1, 'Data Dump'!$A$3:$A$18, 0), MATCH(D$2"
+            },
+            {
+              "cell": "Rep A!D30",
+              "missing_dep": "Data Dump!C55",
+              "formula": "=INDEX('Data Dump'!$B$41:$Y$56, MATCH($B$1, 'Data Dump'!$A$41:$A$56, 0), MATCH(D"
+            },
+            {
+              "cell": "Rep A!D27",
+              "missing_dep": "Data Dump!H22",
+              "formula": "=INDEX('Data Dump'!$B$22:$Y$37, MATCH($B$1, 'Data Dump'!$A$22:$A$37, 0), MATCH(D"
+            },
+            {
+              "cell": "Rep A!D36",
+              "missing_dep": "Data Dump!B74",
+              "formula": "=INDEX('Data Dump'!$B$60:$Y$75, MATCH($B$1, 'Data Dump'!$A$60:$A$75, 0), MATCH(D"
+            },
+            {
+              "cell": "Rep A!D39",
+              "missing_dep": "Data Dump!B93",
+              "formula": "=INDEX('Data Dump'!$B$79:$Y$94, MATCH($B$1, 'Data Dump'!$A$79:$A$94, 0), MATCH(D"
+            }
+          ]
+        },
+        "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": 3,
+          "total_src_patterns": 21,
+          "zero_exemplar_count": 1,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": false,
+          "patterns": [
+            {
+              "pattern": "=MID(CELL(\"FILENAME\",REF),FIND(\"]\",CELL(\"FILENAME\",REF))+1,2",
+              "total_in_src": 1,
+              "sample_formula": "=MID(CELL(\"filename\",A1),FIND(\"]\",CELL(\"filename\",A1))+1,256)"
+            }
+          ]
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "MID": {
+            "total_masked": 1,
+            "visible_exemplars": 0
+          },
+          "INDEX": {
+            "total_masked": 20,
+            "visible_exemplars": 220
+          },
+          "IF": {
+            "total_masked": 10,
+            "visible_exemplars": 708
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.0,
+      "flags": []
+    },
+    "release_audit": {
+      "surface_single_sheet": true,
+      "surface_sheets": [
+        "Rep A"
+      ],
+      "cross_sheet_actual": true,
+      "cross_sheet_ref_count": 820,
+      "referenced_sheets": [
+        "Data Dump"
+      ],
+      "target_shape": "template_column_fill",
+      "layer_sizes": [
+        10,
+        20,
+        1
+      ],
+      "mask_last_total_cells": 31,
+      "layer_growth_ratios": [
+        2.0,
+        0.05
+      ],
+      "pattern_dominance_ratio": 0.3226,
+      "visible_clone_regions": 0,
+      "nearby_visible_clone_regions": 0,
+      "nearby_visible_clone_rows": 0,
+      "nearby_visible_clone_ratio": 0.0,
+      "promptability_score": 0.92,
+      "release_reasons": [
+        "cross_sheet_metadata_mismatch"
+      ],
+      "release_verdict": "KEEP_WITH_FIXES"
+    }
+  },
+  "difficulty": {
+    "task_id": "cross_sheet__dag_0ed38239178f",
+    "difficulty_score": 69.1,
+    "difficulty": "hard",
+    "depth": 3,
+    "total_masked": 31,
+    "is_cross_sheet": true,
+    "unique_patterns": 3,
+    "avg_complexity": 8.0,
+    "cross_refs": 60,
+    "visible_exemplar_ratio": 0.583,
+    "score_breakdown": {
+      "depth": 14,
+      "cross_sheet": 10,
+      "cell_count": 9.9,
+      "patterns": 9,
+      "complexity": 12.0,
+      "cross_refs": 10,
+      "vis_penalty": 4.2
+    }
+  }
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/ground_truth_full.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/ground_truth_full.json
new file mode 100644
index 0000000000000000000000000000000000000000..e8cbba7710b32f77b49631d22474da7ec7eea720
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/ground_truth_full.json
@@ -0,0 +1,281 @@
+[
+  {
+    "sheet": "Rep A",
+    "col": "D",
+    "row": 6,
+    "formula": "=IF(D5=0,0,(D5/D4))",
+    "cached_value": 1.59,
+    "pattern_id": "pf_0000",
+    "layer": 1
+  },
+  {
+    "sheet": "Rep A",
+    "col": "D",
+    "row": 9,
+    "formula": "=IF(D8=0,0,(D8/D7))",
+    "cached_value": 0.8,
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+          "normalized_pattern": "=INDEX('DATADUMP'![$B,$41]:[$Y,$56],MATCH([$B,$1],'DATADUMP'![$A,$41]:[$A,$56],0),MATCH([C,$22],'DATADUMP'![$B,$1]:[$Y,$1],0)+([$A,R]=\"ACT\"))",
+          "sample_formula": "=INDEX('Data Dump'!$B$41:$Y$56, MATCH($B$1, 'Data Dump'!$A$41:$A$56, 0), MATCH(D$22, 'Data Dump'!$B$1:$Y$1, 0)+($A30=\"Act\"))"
+        },
+        {
+          "region_ids": [
+            "rg_01004"
+          ],
+          "sheet": "Rep A",
+          "col": "D",
+          "rows": [
+            35,
+            36
+          ],
+          "row_ranges": "35-36",
+          "row_count": 2,
+          "pattern_id": "pf_0026",
+          "normalized_pattern": "=INDEX('DATADUMP'![$B,$60]:[$Y,$75],MATCH([$B,$1],'DATADUMP'![$A,$60]:[$A,$75],0),MATCH([C,$22],'DATADUMP'![$B,$1]:[$Y,$1],0)+([$A,R]=\"ACT\"))",
+          "sample_formula": "=INDEX('Data Dump'!$B$60:$Y$75, MATCH($B$1, 'Data Dump'!$A$60:$A$75, 0), MATCH(D$22, 'Data Dump'!$B$1:$Y$1, 0)+($A35=\"Act\"))"
+        },
+        {
+          "region_ids": [
+            "rg_01016"
+          ],
+          "sheet": "Rep A",
+          "col": "D",
+          "rows": [
+            38,
+            39
+          ],
+          "row_ranges": "38-39",
+          "row_count": 2,
+          "pattern_id": "pf_0028",
+          "normalized_pattern": "=INDEX('DATADUMP'![$B,$79]:[$Y,$94],MATCH([$B,$1],'DATADUMP'![$A,$79]:[$A,$94],0),MATCH([C,$22],'DATADUMP'![$B,$1]:[$Y,$1],0)+([$A,R]=\"ACT\"))",
+          "sample_formula": "=INDEX('Data Dump'!$B$79:$Y$94, MATCH($B$1, 'Data Dump'!$A$79:$A$94, 0), MATCH(D$22, 'Data Dump'!$B$1:$Y$1, 0)+($A38=\"Act\"))"
+        }
+      ],
+      "new_eval_cells": 20,
+      "total_masked_cells": 30
+    },
+    {
+      "layer_index": 3,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_01216"
+          ],
+          "sheet": "Rep A",
+          "col": "B",
+          "rows": [
+            1
+          ],
+          "row_ranges": "1",
+          "row_count": 1,
+          "pattern_id": "pf_0105",
+          "normalized_pattern": "=MID(CELL(\"FILENAME\",[C-1,R]),FIND(\"]\",CELL(\"FILENAME\",[C-1,R]))+1,256)",
+          "sample_formula": "=MID(CELL(\"filename\",A1),FIND(\"]\",CELL(\"filename\",A1))+1,256)"
+        }
+      ],
+      "new_eval_cells": 1,
+      "total_masked_cells": 31
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00024",
+    "sheet": "Rep A",
+    "col": "D",
+    "pattern_id": "pf_0000",
+    "row_count": 1,
+    "family_size": 10
+  }
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/mask_last.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..d9e3d34a3f966aff6b0a3bcffae0191691f0df9d
Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/mask_last.xlsx differ
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/nl_task.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/nl_task.json
new file mode 100644
index 0000000000000000000000000000000000000000..77a4ec4740153fa3099453cfa876b6f6a17e07be
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/nl_task.json
@@ -0,0 +1,26 @@
+{
+  "task_id": "cross_sheet__dag_0ed38239178f",
+  "prompt_en": "The \"Rep A\" sheet is part of a rep performance workbook with sections like Results, Activity, Rep, Team, Act Rev, % to Goal, AB Goal, Act AB, and Act Conv. Most of the report is already filled in, but the Rep entries in column D still have blanks that need to be completed.\n\nPlease fill in the missing values in the Rep column on sheet \"Rep A\" at D6, D9, D12, D17, D20, D26, D29, D32, D37, and D40. Some related blank areas in the workbook may need to be in place before these Rep entries make sense, so use the visible sheet labels and existing entries across the workbook to complete the report consistently.\n\nSave the completed workbook as an .xlsx file.",
+  "prompt_cn": "“Rep A”工作表是一个销售代表绩效工作簿的一部分，里面有 Results、Activity、Rep、Team、Act Rev、% to Goal、AB Goal、Act AB 和 Act Conv 等栏目。报告的大部分内容已经填写好了，但 D 列的 Rep 项目还有一些空白需要补全。\n\n请在“Rep A”工作表的 Rep 列中填写缺失值，位置是 D6、D9、D12、D17、D20、D26、D29、D32、D37 和 D40。工作簿里有些相关的空白区域可能需要先补齐，这些 Rep 项目才会完整合理；请根据工作簿中可见的工作表标签和已有内容，把这份报告补充一致。\n\n请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt identifies the workbook context, the target sheet and column, and the exact cells to fill while avoiding formulas, operation hints, and any hidden values. It mentions prerequisite blanks only in a natural, non-procedural way.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 7,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
+      "operation_words": 0,
+      "cell_range_density": 7,
+      "step_by_step": 0,
+      "column_operation_mapping": 0,
+      "formula_pattern_hints": 0
+    },
+    "operation_words_found": [],
+    "cell_ranges_found": 0
+  },
+  "version": "v7",
+  "model": "gpt-5.5",
+  "elapsed": 46.4,
+  "attempt": 2
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/release_qc.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/release_qc.json
new file mode 100644
index 0000000000000000000000000000000000000000..d2535fa28b7daae7fe6cbb4b0c70bd80bb739051
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/release_qc.json
@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "CORRECT: The mask is clean and the dependency chain is reconstructible from visible workbook structure, though the task is somewhat template-copyable from nearby exemplars.",
+  "D1": {
+    "score": 4,
+    "reason": "All 31 contract cells are real cells within the Rep A sheet, all were truly masked, and there is no extra masking outside the contract. The only concern is substantial visible same-pattern evidence in adjacent month/Rep columns, which makes parts of the fill close to template copying, but B1 and the cross-sheet lookup dependency still require some adaptation rather than pure blind copying."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The ground-truth layer-1 formulas are consistent with the visible source formulas: each target computes % to Goal as IF(actual=0,0,actual/goal) using the two prerequisite cells directly above. Cached values are plausible for the referenced inputs, and the formulas are deterministic enough for this workbook context."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL clearly identifies the sheet and exact final target cells to fill. It also hints that related blanks may need to be completed first. It is somewhat generic and does not explicitly mention the Data Dump sheet or the B1 name dependency, but it is understandable and not contradictory."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "From mask_last.xlsx plus the prompt, the solver can see the report layout, month headers, Rep/Team labels, Goal/Act/% to Goal row structure, and many visible formulas or formula patterns in adjacent cells. The final D-column % to Goal formulas are inferable from visible neighboring formulas such as B/F/H/J/L or Team columns. The prerequisite lookup cells D4:D39 are also inferable from adjacent INDEX/MATCH formulas using the same Data Dump ranges and month headers, with Rep A identifiable from the sheet name/prompt for B1. The main minor gap is that the exact original B1 formula using CELL/MID is not strongly prompted, though the needed value 'Rep A' is inferable.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 5,
+    "reason": "The source workbook appears structurally sound: Data Dump headers are consistent, the Rep A formulas follow coherent repeated patterns, cross-sheet references point to valid ranges, and no corruption, circularity, phantom ranges, or broken formulas are indicated."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The NL reads like a realistic workplace completion request for a rep performance report. It avoids benchmark jargon and gives practical instructions, including saving the completed workbook."
+  },
+  "total": 27,
+  "verdict": "RELEASE",
+  "verdict_reason": "The task is publishable: GT and source data are clean, masking is within contract, and the chain is solvable from visible workbook evidence. The only caveat is that adjacent visible templates reduce difficulty, but not enough to invalidate the task.",
+  "frontier_hardness": {
+    "score": 2,
+    "reason": "Despite depth 3 and cross-sheet formulas, the workbook exposes strong repeated templates in nearby columns and rows. A frontier model with spreadsheet reasoning should likely infer or copy-adapt the INDEX/MATCH prerequisites and IF percentage formulas successfully, with only mild challenge around B1.",
+    "fail_reason": "easy",
+    "is_valid_hardness": false
+  },
+  "_prompt_chars": 113921,
+  "_timing_load_workbooks": 0.73,
+  "_timing_context": 0.02,
+  "_timing_api": 55.1,
+  "local_difficulty": {
+    "difficulty_score": 69.1,
+    "difficulty": "hard",
+    "depth": 3,
+    "total_masked": 31,
+    "is_cross_sheet": true,
+    "unique_patterns": 3,
+    "avg_complexity": 8,
+    "cross_refs": 60,
+    "visible_exemplar_ratio": 0.583
+  },
+  "task_id": "cross_sheet__dag_0ed38239178f",
+  "elapsed": 55.9,
+  "publish_decision": "YES",
+  "release_tier": "GOLD",
+  "hard_block_reasons": []
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/src.xlsx b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/src.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..07ae72e67df0ead8896f3821bca54f87194c674d
Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/src.xlsx differ
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/target_contract.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/target_contract.json
new file mode 100644
index 0000000000000000000000000000000000000000..f0b705a992c80c0b889ac5ace3fb4fe7732775f5
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/target_contract.json
@@ -0,0 +1,97 @@
+{
+  "task_id": "cross_sheet__dag_0ed38239178f",
+  "category": "cross_sheet",
+  "depth": 3,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "Rep A",
+        "column": "D",
+        "column_header": "Rep",
+        "cell_range": "D6, D9, D12, D17, D20, D26, D29, D32, D37, D40",
+        "cell_count": 10,
+        "rows": [
+          6,
+          9,
+          12,
+          17,
+          20,
+          26,
+          29,
+          32,
+          37,
+          40
+        ],
+        "first_row_label": "% to Goal",
+        "last_row_label": "% to Goal"
+      }
+    ],
+    "cell_count": 10,
+    "formula_families": [
+      "conditional"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 3,
+      "regions": [
+        {
+          "sheet": "Rep A",
+          "column": "B",
+          "column_header": "Rep A",
+          "cell_range": "B1",
+          "cell_count": 1,
+          "rows": [
+            1
+          ],
+          "first_row_label": "Name:",
+          "last_row_label": ""
+        }
+      ],
+      "cell_count": 1
+    },
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Rep A",
+          "column": "D",
+          "column_header": "Rep",
+          "cell_range": "D4:D5, D7:D8, D10:D11, D15:D16, D18:D19, D24:D25, D27:D28, D30:D31, D35:D36, D38:D39",
+          "cell_count": 20,
+          "rows": [
+            4,
+            5,
+            7,
+            8,
+            10,
+            11,
+            15,
+            16,
+            18,
+            19,
+            24,
+            25,
+            27,
+            28,
+            30,
+            31,
+            35,
+            36,
+            38,
+            39
+          ],
+          "first_row_label": "Goal",
+          "last_row_label": "Act"
+        }
+      ],
+      "cell_count": 20
+    }
+  ],
+  "total_prerequisite_cells": 21,
+  "total_masked_cells": 31,
+  "ratio_total_vs_final": 3.1,
+  "sheets_involved": [
+    "Rep A"
+  ]
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/task_meta.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/task_meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..d371bf08967eacb29d52cf749ad59767f26e7d92
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/task_meta.json
@@ -0,0 +1,91 @@
+{
+  "fcb_id": "FCB-01390",
+  "task_id": "cross_sheet__dag_0ed38239178f",
+  "tier": "T2_HARD",
+  "category": "cross_sheet",
+  "depth": 3,
+  "total_masked": 31,
+  "is_cross_sheet": true,
+  "prompt_en": "The \"Rep A\" sheet is part of a rep performance workbook with sections like Results, Activity, Rep, Team, Act Rev, % to Goal, AB Goal, Act AB, and Act Conv. Most of the report is already filled in, but the Rep entries in column D still have blanks that need to be completed.\n\nPlease fill in the missing values in the Rep column on sheet \"Rep A\" at D6, D9, D12, D17, D20, D26, D29, D32, D37, and D40. Some related blank areas in the workbook may need to be in place before these Rep entries make sense, so use the visible sheet labels and existing entries across the workbook to complete the report consistently.\n\nSave the completed workbook as an .xlsx file.",
+  "prompt_cn": "“Rep A”工作表是一个销售代表绩效工作簿的一部分，里面有 Results、Activity、Rep、Team、Act Rev、% to Goal、AB Goal、Act AB 和 Act Conv 等栏目。报告的大部分内容已经填写好了，但 D 列的 Rep 项目还有一些空白需要补全。\n\n请在“Rep A”工作表的 Rep 列中填写缺失值，位置是 D6、D9、D12、D17、D20、D26、D29、D32、D37 和 D40。工作簿里有些相关的空白区域可能需要先补齐，这些 Rep 项目才会完整合理；请根据工作簿中可见的工作表标签和已有内容，把这份报告补充一致。\n\n请将完成后的工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 27,
+    "verdict": "RELEASE",
+    "D1": 4,
+    "D2": 5,
+    "D3": 4,
+    "D4": 4,
+    "D5": 5,
+    "D6": 5,
+    "frontier_hardness": 2,
+    "local_difficulty": 69.1
+  },
+  "source_file_id": "221300d1363458496-attemepting-to-link-and-automate-multiple-data-points-individual-rep-kpi-report-2013-example",
+  "inferred_domain": "data_analysis",
+  "domain_confidence": 0.5,
+  "sheet_profiles": [
+    {
+      "name": "Data Dump",
+      "used_range": "A1:Y97",
+      "row_count": 97,
+      "col_count": 25,
+      "has_header": true,
+      "title_hint": "Data Dump",
+      "header_info": {
+        "sheet": "Data Dump",
+        "header_row": 1,
+        "headers": {
+          "A": "Name",
+          "B": "Jan",
+          "D": "Feb",
+          "F": "Mar",
+          "H": "Apr",
+          "J": "May",
+          "L": "Jun",
+          "N": "Jul",
+          "P": "Aug",
+          "R": "Sep",
+          "T": "Oct",
+          "V": "Nov",
+          "X": "Dec"
+        }
+      }
+    },
+    {
+      "name": "Rep A",
+      "used_range": "A1:P61",
+      "row_count": 61,
+      "col_count": 16,
+      "has_header": false,
+      "title_hint": "Rep A",
+      "header_info": null
+    },
+    {
+      "name": "Joe",
+      "used_range": "A1:AX67",
+      "row_count": 67,
+      "col_count": 50,
+      "has_header": false,
+      "title_hint": "Joe",
+      "header_info": null
+    },
+    {
+      "name": "LeAnn",
+      "used_range": "A1:AX67",
+      "row_count": 67,
+      "col_count": 50,
+      "has_header": false,
+      "title_hint": "LeAnn",
+      "header_info": null
+    },
+    {
+      "name": "Todd",
+      "used_range": "A1:AX67",
+      "row_count": 67,
+      "col_count": 50,
+      "has_header": false,
+      "title_hint": "Todd",
+      "header_info": null
+    }
+  ]
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/audit.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/audit.json
new file mode 100644
index 0000000000000000000000000000000000000000..3e6cdd868573ff79b9852b712eeb76a5f0d03469
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/audit.json
@@ -0,0 +1,594 @@
+{
+  "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 16 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=47643B, src=59140B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=4.0 (total=64, final=16)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "30 unique values across 64 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": "16 lookups"
+        },
+        {
+          "check": "src_chain_integrity",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean",
+          "sub_checks": {
+            "error_cells": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "external_refs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "volatile_funcs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "missing_sheets": {
+              "pass": true,
+              "count": 0,
+              "sheets": []
+            },
+            "circular_refs": {
+              "pass": true,
+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
+        }
+      ]
+    },
+    "post_nl_validate": {
+      "validate_label": "SOFT_WARN",
+      "validate_pass": true,
+      "hard_fails": 0,
+      "soft_warns": 2,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": 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=2, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": false,
+          "detail": "contract=['All-Time', 'All-Time (2)'], missing=['All-Time (2)']",
+          "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 16 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 [All-Time (2), Data]",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 4 col groups"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": false,
+          "detail": "GT funcs: ['COUNTIF', 'INDEX', 'MATCH', 'RANK', 'ROW', 'TIME']; MISMATCHES: GT uses INDEX but NL doesn't mention any of: find, index, look up, lookup; GT uses COUNTIF but NL doesn't mention any of: condition, count, criteria, how many; GT uses MATCH but NL doesn't mention any of: find, match, position",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "unmatched_default_rule",
+          "pass": true,
+          "detail": "no default-rule phrase found in NL",
+          "severity": "OK"
+        },
+        {
+          "check": "volatile_function_freeze",
+          "pass": true,
+          "detail": "volatile_cells=0",
+          "severity": "OK"
+        },
+        {
+          "check": "direct_answer_leakage",
+          "pass": true,
+          "detail": "0 leaks out of 64 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": 64,
+      "total_non_none": 64,
+      "block_reasons": [],
+      "warnings": [
+        "rank_ties:16"
+      ],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 16,
+          "tie_issues": 16,
+          "details": [
+            {
+              "cell": "All-Time (2)!F5",
+              "tied_values": {
+                "17": 5
+              }
+            },
+            {
+              "cell": "All-Time (2)!F6",
+              "tied_values": {
+                "17": 5
+              }
+            },
+            {
+              "cell": "All-Time (2)!F7",
+              "tied_values": {
+                "17": 5
+              }
+            },
+            {
+              "cell": "All-Time (2)!F8",
+              "tied_values": {
+                "17": 5
+              }
+            },
+            {
+              "cell": "All-Time (2)!F9",
+              "tied_values": {
+                "17": 5
+              }
+            },
+            {
+              "cell": "All-Time (2)!F10",
+              "tied_values": {
+                "17": 5
+              }
+            },
+            {
+              "cell": "All-Time (2)!F11",
+              "tied_values": {
+                "17": 5
+              }
+            },
+            {
+              "cell": "All-Time (2)!F12",
+              "tied_values": {
+                "17": 5
+              }
+            },
+            {
+              "cell": "All-Time (2)!F13",
+              "tied_values": {
+                "17": 5
+              }
+            },
+            {
+              "cell": "All-Time (2)!F14",
+              "tied_values": {
+                "17": 5
+              }
+            }
+          ]
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "int": 64
+          },
+          "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": 64
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 64,
+      "total_masked": 64,
+      "total_visible": 2890,
+      "depth": 3,
+      "block_reasons": [
+        "broken_chains:48/64=75.0%"
+      ],
+      "warnings": [],
+      "checks": {
+        "broken_chains": {
+          "count": 48,
+          "checked": 64,
+          "details": [
+            {
+              "cell": "All-Time!E11",
+              "missing_dep": "All-Time!B7",
+              "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B7),'All-Time (2)'!$F$5:$F$20,0))"
+            },
+            {
+              "cell": "All-Time!E17",
+              "missing_dep": "All-Time!B13",
+              "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B13),'All-Time (2)'!$F$5:$F$20,0))"
+            },
+            {
+              "cell": "All-Time!E14",
+              "missing_dep": "All-Time!B10",
+              "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B10),'All-Time (2)'!$F$5:$F$20,0))"
+            },
+            {
+              "cell": "All-Time!E20",
+              "missing_dep": "All-Time!B16",
+              "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B16),'All-Time (2)'!$F$5:$F$20,0))"
+            },
+            {
+              "cell": "All-Time (2)!D6",
+              "missing_dep": "Data!H2",
+              "formula": "=COUNTIF(Data!H$2:H$437,C6)"
+            },
+            {
+              "cell": "All-Time (2)!D12",
+              "missing_dep": "Data!H2",
+              "formula": "=COUNTIF(Data!H$2:H$437,C12)"
+            },
+            {
+              "cell": "All-Time (2)!D9",
+              "missing_dep": "Data!H2",
+              "formula": "=COUNTIF(Data!H$2:H$437,C9)"
+            },
+            {
+              "cell": "All-Time (2)!D15",
+              "missing_dep": "Data!H2",
+              "formula": "=COUNTIF(Data!H$2:H$437,C15)"
+            },
+            {
+              "cell": "All-Time (2)!E6",
+              "missing_dep": "Data!I2",
+              "formula": "=COUNTIF(Data!I$2:I$436,C6)"
+            },
+            {
+              "cell": "All-Time (2)!E12",
+              "missing_dep": "Data!I2",
+              "formula": "=COUNTIF(Data!I$2:I$436,C12)"
+            },
+            {
+              "cell": "All-Time (2)!D18",
+              "missing_dep": "Data!H2",
+              "formula": "=COUNTIF(Data!H$2:H$437,C18)"
+            },
+            {
+              "cell": "All-Time (2)!E9",
+              "missing_dep": "Data!I2",
+              "formula": "=COUNTIF(Data!I$2:I$436,C9)"
+            },
+            {
+              "cell": "All-Time (2)!E15",
+              "missing_dep": "Data!I2",
+              "formula": "=COUNTIF(Data!I$2:I$436,C15)"
+            },
+            {
+              "cell": "All-Time!E10",
+              "missing_dep": "All-Time!B6",
+              "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B6),'All-Time (2)'!$F$5:$F$20,0))"
+            },
+            {
+              "cell": "All-Time (2)!E18",
+              "missing_dep": "Data!I2",
+              "formula": "=COUNTIF(Data!I$2:I$436,C18)"
+            },
+            {
+              "cell": "All-Time!E7",
+              "missing_dep": "All-Time!B3",
+              "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B3),'All-Time (2)'!$F$5:$F$20,0))"
+            },
+            {
+              "cell": "All-Time!E13",
+              "missing_dep": "All-Time!B9",
+              "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B9),'All-Time (2)'!$F$5:$F$20,0))"
+            },
+            {
+              "cell": "All-Time!E16",
+              "missing_dep": "All-Time!B12",
+              "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B12),'All-Time (2)'!$F$5:$F$20,0))"
+            },
+            {
+              "cell": "All-Time!E19",
+              "missing_dep": "All-Time!B15",
+              "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B15),'All-Time (2)'!$F$5:$F$20,0))"
+            },
+            {
+              "cell": "All-Time (2)!E10",
+              "missing_dep": "Data!I2",
+              "formula": "=COUNTIF(Data!I$2:I$436,C10)"
+            }
+          ]
+        },
+        "orphan_masks": {
+          "count": 0,
+          "details": []
+        },
+        "self_contained": {
+          "missing_sheets": []
+        }
+      }
+    },
+    "exemplar": {
+      "soft_block": true,
+      "block_reasons": [
+        "zero_exemplar:2_patterns"
+      ],
+      "checks": {
+        "pattern_coverage": {
+          "pass": false,
+          "total_gt_patterns": 3,
+          "total_src_patterns": 6,
+          "zero_exemplar_count": 2,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": false,
+          "patterns": [
+            {
+              "pattern": "=RANK(REF,RANGE)+COUNTIF(RANGE,REF)-1",
+              "total_in_src": 16,
+              "sample_formula": "=RANK(D5,$D$5:$D$20)+COUNTIF($D$5:$D5,D5)-1"
+            },
+            {
+              "pattern": "=COUNTIF(RANGE,REF)",
+              "total_in_src": 32,
+              "sample_formula": "=COUNTIF(Data!H$2:H$437,C5)"
+            }
+          ]
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "RANK": {
+            "total_masked": 16,
+            "visible_exemplars": 0
+          },
+          "INDEX": {
+            "total_masked": 16,
+            "visible_exemplars": 32
+          },
+          "COUNTIF": {
+            "total_masked": 32,
+            "visible_exemplars": 0
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.0,
+      "flags": []
+    },
+    "release_audit": {
+      "surface_single_sheet": false,
+      "surface_sheets": [
+        "All-Time",
+        "All-Time (2)"
+      ],
+      "cross_sheet_actual": true,
+      "cross_sheet_ref_count": 544,
+      "referenced_sheets": [
+        "All-Time (2)",
+        "Data"
+      ],
+      "target_shape": "single_column_series",
+      "layer_sizes": [
+        16,
+        32,
+        16
+      ],
+      "mask_last_total_cells": 64,
+      "layer_growth_ratios": [
+        2.0,
+        0.5
+      ],
+      "pattern_dominance_ratio": 0.25,
+      "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_417d314c7f36",
+    "difficulty_score": 77.9,
+    "difficulty": "hard",
+    "depth": 3,
+    "total_masked": 64,
+    "is_cross_sheet": true,
+    "unique_patterns": 4,
+    "avg_complexity": 7.0,
+    "cross_refs": 64,
+    "visible_exemplar_ratio": 0.059,
+    "score_breakdown": {
+      "depth": 14,
+      "cross_sheet": 10,
+      "cell_count": 12.0,
+      "patterns": 12,
+      "complexity": 10.5,
+      "cross_refs": 10,
+      "vis_penalty": 9.4
+    }
+  }
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/ground_truth_full.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/ground_truth_full.json
new file mode 100644
index 0000000000000000000000000000000000000000..dc2951bad4fd09ca2931c76de3d8b2192f76d924
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/ground_truth_full.json
@@ -0,0 +1,578 @@
+[
+  {
+    "sheet": "All-Time",
+    "col": "E",
+    "row": 5,
+    "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B1),'All-Time (2)'!$F$5:$F$20,0))",
+    "cached_value": 9,
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "All-Time",
+    "col": "E",
+    "row": 6,
+    "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B2),'All-Time (2)'!$F$5:$F$20,0))",
+    "cached_value": 16,
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "All-Time",
+    "col": "E",
+    "row": 7,
+    "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B3),'All-Time (2)'!$F$5:$F$20,0))",
+    "cached_value": 17,
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "All-Time",
+    "col": "E",
+    "row": 8,
+    "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B4),'All-Time (2)'!$F$5:$F$20,0))",
+    "cached_value": 20,
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "All-Time",
+    "col": "E",
+    "row": 9,
+    "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B5),'All-Time (2)'!$F$5:$F$20,0))",
+    "cached_value": 18,
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "All-Time",
+    "col": "E",
+    "row": 10,
+    "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B6),'All-Time (2)'!$F$5:$F$20,0))",
+    "cached_value": 19,
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "All-Time",
+    "col": "E",
+    "row": 11,
+    "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B7),'All-Time (2)'!$F$5:$F$20,0))",
+    "cached_value": 20,
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "All-Time",
+    "col": "E",
+    "row": 12,
+    "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B8),'All-Time (2)'!$F$5:$F$20,0))",
+    "cached_value": 20,
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "All-Time",
+    "col": "E",
+    "row": 13,
+    "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B9),'All-Time (2)'!$F$5:$F$20,0))",
+    "cached_value": 24,
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "All-Time",
+    "col": "E",
+    "row": 14,
+    "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B10),'All-Time (2)'!$F$5:$F$20,0))",
+    "cached_value": 24,
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "All-Time",
+    "col": "E",
+    "row": 15,
+    "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B11),'All-Time (2)'!$F$5:$F$20,0))",
+    "cached_value": 24,
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "All-Time",
+    "col": "E",
+    "row": 16,
+    "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B12),'All-Time (2)'!$F$5:$F$20,0))",
+    "cached_value": 25,
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "All-Time",
+    "col": "E",
+    "row": 17,
+    "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B13),'All-Time (2)'!$F$5:$F$20,0))",
+    "cached_value": 24,
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "All-Time",
+    "col": "E",
+    "row": 18,
+    "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B14),'All-Time (2)'!$F$5:$F$20,0))",
+    "cached_value": 25,
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "All-Time",
+    "col": "E",
+    "row": 19,
+    "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B15),'All-Time (2)'!$F$5:$F$20,0))",
+    "cached_value": 28,
+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
+  {
+    "sheet": "All-Time",
+    "col": "E",
+    "row": 20,
+    "formula": "=INDEX('All-Time (2)'!E$5:E$20,MATCH(ROW(B16),'All-Time (2)'!$F$5:$F$20,0))",
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+    "pattern_id": "pf_0006",
+    "layer": 1
+  },
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+    "row": 5,
+    "formula": "=COUNTIF(Data!I$2:I$436,C5)",
+    "cached_value": 24,
+    "pattern_id": "pf_0009",
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+  },
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+    "sheet": "All-Time (2)",
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+    "formula": "=COUNTIF(Data!I$2:I$436,C6)",
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+    "pattern_id": "pf_0009",
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+    "pattern_id": "pf_0009",
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+  },
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+    "sheet": "All-Time (2)",
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+    "formula": "=COUNTIF(Data!I$2:I$436,C8)",
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+    "pattern_id": "pf_0009",
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+  },
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+    "formula": "=COUNTIF(Data!I$2:I$436,C11)",
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+    "pattern_id": "pf_0009",
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+    "sheet": "All-Time (2)",
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+    "formula": "=COUNTIF(Data!I$2:I$436,C12)",
+    "cached_value": 20,
+    "pattern_id": "pf_0009",
+    "layer": 2
+  },
+  {
+    "sheet": "All-Time (2)",
+    "col": "E",
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+    "formula": "=COUNTIF(Data!I$2:I$436,C13)",
+    "cached_value": 9,
+    "pattern_id": "pf_0009",
+    "layer": 2
+  },
+  {
+    "sheet": "All-Time (2)",
+    "col": "E",
+    "row": 14,
+    "formula": "=COUNTIF(Data!I$2:I$436,C14)",
+    "cached_value": 20,
+    "pattern_id": "pf_0009",
+    "layer": 2
+  },
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diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/ground_truth_target.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/ground_truth_target.json
new file mode 100644
index 0000000000000000000000000000000000000000..84ce08610c9e637f7cf17d4241dfd3d5cfa76fcc
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/ground_truth_target.json
@@ -0,0 +1,130 @@
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\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/layers.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/layers.json
new file mode 100644
index 0000000000000000000000000000000000000000..01d38ae0445f6e5c05817031ec11807b81469acb
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/layers.json
@@ -0,0 +1,164 @@
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+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/mask_last.xlsx
new file mode 100644
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Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/mask_last.xlsx differ
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/nl_task.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/nl_task.json
new file mode 100644
index 0000000000000000000000000000000000000000..5a09c8a32de43ee18ae2e04283a0ce5ea524fd09
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/nl_task.json
@@ -0,0 +1,26 @@
+{
+  "task_id": "cross_sheet__dag_417d314c7f36",
+  "prompt_en": "The workbook pairs a game-results log with an All-Time rankings table: the results area uses labels like Year, Week, Away Team, Score, Home Team, and Winner, while the All-Time sheet lists RANK, team names, and the Wins and Losses columns. In the All-Time sheet, please complete the blank entries in the Losses column for the ranked rows, E5:E20. If you notice related blank result fields elsewhere in the workbook, those need to be in place before the All-Time rankings read correctly. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "这个工作簿把比赛结果记录和 All-Time 排名表放在一起：结果记录里有 Year、Week、Away Team、Score、Home Team、Winner 等标签，而 All-Time 工作表里列出了 RANK、队伍名称，以及 Wins 和 Losses 两列。请在 All-Time 工作表中补全排名行里 Losses 列的空白项，范围是 E5:E20。如果你看到工作簿其他位置还有相关的比赛结果空白项，也需要先补好，这样 All-Time 排名表才会完整一致。请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt identifies the workbook context, the target sheet and column, and the exact range E5:E20 without giving any calculation or formula hints. It also mentions prerequisite blanks only in a natural, high-level way.",
+  "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": 82.5,
+  "attempt": 3
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/release_qc.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/release_qc.json
new file mode 100644
index 0000000000000000000000000000000000000000..ef6e4d24147612f2ca4a4cc2538a63b025ee78f0
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/release_qc.json
@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "Well-designed overall: masking is clean, targets are real, GT formulas are coherent, and the dependency chain is reconstructible from visible workbook structure despite being hard.",
+  "D1": {
+    "score": 5,
+    "reason": "All 64 contract cells are truly masked, there are no phantom cells beyond the sheet range, no extra masking outside the contract, and no contract cells left unmasked. Visible All-Time formulas in adjacent columns provide structural clues, but the full task is not trivially copyable because the solver must also reconstruct the masked All-Time (2) Wins/Losses/Rank chain."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The GT formulas are deterministic and consistent with the workbook design: final Losses on All-Time are retrieved from All-Time (2) via INDEX/MATCH using the computed rank column. The prerequisite formulas count wins/losses from the Data sheet and rank teams by wins with tie handling. Cached target values appear consistent with this logic."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL clearly identifies the final target range, All-Time!E5:E20, and explains the broad workbook purpose. It is somewhat vague about the prerequisite blanks, referring to 'related blank result fields elsewhere' rather than explicitly naming All-Time (2) Wins/Losses/Rank, but the target itself is unambiguous."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "Using only mask_last.xlsx and the NL, the task is hard but reconstructible. The final All-Time Losses formula pattern can be inferred from visible neighboring All-Time formulas in columns C and D. On All-Time (2), the visible headers Team/Wins/Losses/RANK plus the Data sheet headers Winner, score fields, and team-name data provide enough evidence to infer wins and losses as counts from the game log and rank as an ordering by wins. The main minor gap is that exact source ranges and tie-breaking rank mechanics require careful inference rather than being directly exemplified.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 4,
+    "reason": "The source workbook appears structurally sound: sheets and ranges are real, formulas are coherent, and automated checks report no chain errors or external-cell problems. Headers are mostly meaningful, though the Data column I header is anonymized as [Person_1], making the loss-count source column less self-documenting."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The NL sounds like a plausible workplace request and avoids benchmark-specific terminology. It describes the workbook domain naturally and asks the user to complete the Losses column."
+  },
+  "total": 27,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality task with clean masking, valid GT, and genuine cross-sheet multi-hop reasoning. The NL could be slightly more explicit about All-Time (2), but the workbook evidence is sufficient and the issue is minor.",
+  "frontier_hardness": {
+    "score": 3,
+    "reason": "A frontier model would need to reconstruct a three-layer cross-sheet chain involving counts from the Data sheet, ranking logic, and INDEX/MATCH lookup into the final All-Time table. However, the visible headers and adjacent formulas provide substantial clues, so this is challenging but not extremely hard.",
+    "fail_reason": "cross_sheet_multi_hop",
+    "is_valid_hardness": true
+  },
+  "_prompt_chars": 29953,
+  "_timing_load_workbooks": 0.24,
+  "_timing_context": 0.01,
+  "_timing_api": 279.18,
+  "local_difficulty": {
+    "difficulty_score": 79.4,
+    "difficulty": "hard",
+    "depth": 3,
+    "total_masked": 64,
+    "is_cross_sheet": true,
+    "unique_patterns": 4,
+    "avg_complexity": 8,
+    "cross_refs": 64,
+    "visible_exemplar_ratio": 0.059
+  },
+  "task_id": "cross_sheet__dag_417d314c7f36",
+  "elapsed": 279.4,
+  "publish_decision": "YES",
+  "release_tier": "GOLD",
+  "hard_block_reasons": []
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/src.xlsx b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/src.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..efbb54e19e0d67262771a2d046ad0aa97c67d9d2
Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/src.xlsx differ
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/target_contract.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/target_contract.json
new file mode 100644
index 0000000000000000000000000000000000000000..dcedece3d0b7b98d11fd3ed96fd7558196aa0ae1
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/target_contract.json
@@ -0,0 +1,142 @@
+{
+  "task_id": "cross_sheet__dag_417d314c7f36",
+  "category": "cross_sheet",
+  "depth": 3,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "All-Time",
+        "column": "E",
+        "column_header": "Losses",
+        "cell_range": "E5:E20",
+        "cell_count": 16,
+        "rows": [
+          5,
+          6,
+          7,
+          8,
+          9,
+          10,
+          11,
+          12,
+          13,
+          14,
+          15,
+          16,
+          17,
+          18,
+          19,
+          20
+        ],
+        "first_row_label": "Kelly's Heroes",
+        "last_row_label": "[Person_3]"
+      }
+    ],
+    "cell_count": 16,
+    "formula_families": [
+      "lookup"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 3,
+      "regions": [
+        {
+          "sheet": "All-Time (2)",
+          "column": "D",
+          "column_header": "Wins",
+          "cell_range": "D5:D20",
+          "cell_count": 16,
+          "rows": [
+            5,
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20
+          ],
+          "first_row_label": "Carolina Foresters",
+          "last_row_label": "Titan-ic Mission"
+        }
+      ],
+      "cell_count": 16
+    },
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "All-Time (2)",
+          "column": "E",
+          "column_header": "Losses",
+          "cell_range": "E5:E20",
+          "cell_count": 16,
+          "rows": [
+            5,
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20
+          ],
+          "first_row_label": "Carolina Foresters",
+          "last_row_label": "Titan-ic Mission"
+        },
+        {
+          "sheet": "All-Time (2)",
+          "column": "F",
+          "column_header": "RANK",
+          "cell_range": "F5:F20",
+          "cell_count": 16,
+          "rows": [
+            5,
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20
+          ],
+          "first_row_label": "Carolina Foresters",
+          "last_row_label": "Titan-ic Mission"
+        }
+      ],
+      "cell_count": 32
+    }
+  ],
+  "total_prerequisite_cells": 48,
+  "total_masked_cells": 64,
+  "ratio_total_vs_final": 4.0,
+  "sheets_involved": [
+    "All-Time",
+    "All-Time (2)"
+  ]
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/task_meta.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/task_meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..c6b30c893695ae17ab0cd70322b1b6e42166956d
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/task_meta.json
@@ -0,0 +1,88 @@
+{
+  "fcb_id": "FCB-01402",
+  "task_id": "cross_sheet__dag_417d314c7f36",
+  "tier": "T2_HARD",
+  "category": "cross_sheet",
+  "depth": 3,
+  "total_masked": 64,
+  "is_cross_sheet": true,
+  "prompt_en": "The workbook pairs a game-results log with an All-Time rankings table: the results area uses labels like Year, Week, Away Team, Score, Home Team, and Winner, while the All-Time sheet lists RANK, team names, and the Wins and Losses columns. In the All-Time sheet, please complete the blank entries in the Losses column for the ranked rows, E5:E20. If you notice related blank result fields elsewhere in the workbook, those need to be in place before the All-Time rankings read correctly. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "这个工作簿把比赛结果记录和 All-Time 排名表放在一起：结果记录里有 Year、Week、Away Team、Score、Home Team、Winner 等标签，而 All-Time 工作表里列出了 RANK、队伍名称，以及 Wins 和 Losses 两列。请在 All-Time 工作表中补全排名行里 Losses 列的空白项，范围是 E5:E20。如果你看到工作簿其他位置还有相关的比赛结果空白项，也需要先补好，这样 All-Time 排名表才会完整一致。请将完成后的工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 27,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 4,
+    "D4": 4,
+    "D5": 4,
+    "D6": 5,
+    "frontier_hardness": 3,
+    "local_difficulty": 79.4
+  },
+  "source_file_id": "182529d1348516273-adding-up-values-per-team-alltime",
+  "inferred_domain": "data_analysis",
+  "domain_confidence": 0.5,
+  "sheet_profiles": [
+    {
+      "name": "Data",
+      "used_range": "A1:M517",
+      "row_count": 517,
+      "col_count": 13,
+      "has_header": true,
+      "title_hint": "Data",
+      "header_info": {
+        "sheet": "Data",
+        "header_row": 1,
+        "headers": {
+          "A": "#",
+          "B": "Year",
+          "C": "Week",
+          "D": "Away Team",
+          "E": "Score",
+          "F": "Home Team",
+          "G": "Score",
+          "H": "Winner",
+          "I": "[Person_1]",
+          "J": "Win Score",
+          "K": "Loss Score",
+          "L": "Total Score",
+          "M": "Margin"
+        }
+      }
+    },
+    {
+      "name": "All-Time",
+      "used_range": "C4:E20",
+      "row_count": 17,
+      "col_count": 3,
+      "has_header": true,
+      "title_hint": "All Time",
+      "header_info": {
+        "sheet": "All-Time",
+        "header_row": 4,
+        "headers": {
+          "D": "Wins",
+          "E": "Losses"
+        }
+      }
+    },
+    {
+      "name": "All-Time (2)",
+      "used_range": "C4:F20",
+      "row_count": 17,
+      "col_count": 4,
+      "has_header": true,
+      "title_hint": "All Time (2)",
+      "header_info": {
+        "sheet": "All-Time (2)",
+        "header_row": 4,
+        "headers": {
+          "D": "Wins",
+          "E": "Losses",
+          "F": "RANK"
+        }
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/audit.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/audit.json
new file mode 100644
index 0000000000000000000000000000000000000000..97cb1e209db59479d489beaf15042fcd1c4c4c38
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/audit.json
@@ -0,0 +1,452 @@
+{
+  "gate": {
+    "pre_nl_gate": {
+      "gate_label": "GATE_PASS",
+      "gate_pass": true,
+      "hard_fails": 0,
+      "warns": 0,
+      "checks": [
+        {
+          "check": "final_target_gate",
+          "pass": true,
+          "detail": "final_target has 20 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=71076B, src=141722B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=5.0 (total=99, final=20)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "63 unique values across 99 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: Beta - Inventory List!N→O(20/20), Beta - Inventory List!P→O(19/20), Beta - Inventory Receipts!O→Beta - Inventory List!O(20/20)"
+        },
+        {
+          "check": "header_name_accuracy",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "duplicate_lookup_tie_break",
+          "pass": true,
+          "severity": null,
+          "detail": "20 lookups"
+        },
+        {
+          "check": "src_chain_integrity",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean",
+          "sub_checks": {
+            "error_cells": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "external_refs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "volatile_funcs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "missing_sheets": {
+              "pass": true,
+              "count": 0,
+              "sheets": []
+            },
+            "circular_refs": {
+              "pass": true,
+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
+        }
+      ]
+    },
+    "post_nl_validate": {
+      "validate_label": "SOFT_WARN",
+      "validate_pass": true,
+      "hard_fails": 0,
+      "soft_warns": 2,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": 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=2, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": false,
+          "detail": "contract=['Beta - Inventory List', 'Master List'], missing=['Master List']",
+          "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 20 GT cells",
+          "severity": "OK"
+        },
+        {
+          "check": "final_target_first",
+          "pass": true,
+          "detail": "no explicit final target marker (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "output_format",
+          "pass": true,
+          "detail": "output format found",
+          "severity": "OK"
+        },
+        {
+          "check": "header_in_prompt",
+          "pass": true,
+          "detail": "no column headers found in prompt",
+          "severity": "OK"
+        },
+        {
+          "check": "hint_specificity",
+          "pass": true,
+          "detail": "clean",
+          "severity": "OK"
+        },
+        {
+          "check": "evidence_scope",
+          "pass": false,
+          "detail": "referenced=2 mentioned=1 missing=1 [Master List]",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 3 col groups"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": false,
+          "detail": "GT funcs: ['IFERROR', 'INDEX', 'LEFT', 'MATCH']; MISMATCHES: GT uses INDEX but NL doesn't mention any of: find, index, look up, lookup; GT uses MATCH but NL doesn't mention any of: find, match, position",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "unmatched_default_rule",
+          "pass": true,
+          "detail": "no default-rule phrase found in NL",
+          "severity": "OK"
+        },
+        {
+          "check": "volatile_function_freeze",
+          "pass": true,
+          "detail": "volatile_cells=0",
+          "severity": "OK"
+        },
+        {
+          "check": "direct_answer_leakage",
+          "pass": true,
+          "detail": "0 leaks out of 99 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": 99,
+      "total_non_none": 99,
+      "block_reasons": [],
+      "warnings": [
+        "mixed_gt_types:{'str': 51, 'int': 48}"
+      ],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "str": 51,
+            "int": 48
+          },
+          "mixed": true
+        },
+        "empty_gt": {
+          "count": 0,
+          "details": []
+        }
+      }
+    },
+    "src_chain": {
+      "hard_block": false,
+      "block_reasons": [],
+      "checks": {
+        "error_cells": {
+          "pass": true,
+          "count": 0,
+          "cells": []
+        },
+        "external_refs": {
+          "pass": true,
+          "count": 0,
+          "cells": []
+        },
+        "volatile_funcs": {
+          "pass": true,
+          "count": 0,
+          "cells": []
+        },
+        "missing_sheets": {
+          "pass": true,
+          "count": 0,
+          "sheets": []
+        },
+        "circular_refs": {
+          "pass": true,
+          "cycle_cells": []
+        }
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+      "depth": 3,
+      "block_reasons": [],
+      "warnings": [],
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+        }
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+    "is_cross_sheet": true,
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+    "avg_complexity": 8.0,
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+      "complexity": 12.0,
+      "cross_refs": 10,
+      "vis_penalty": 9.5
+    }
+  }
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/ground_truth_full.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/ground_truth_full.json
new file mode 100644
index 0000000000000000000000000000000000000000..341b9bcb6d2ed08f0abe904f0e52f0bd08bc85c5
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/ground_truth_full.json
@@ -0,0 +1,893 @@
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diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/ground_truth_target.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/ground_truth_target.json
new file mode 100644
index 0000000000000000000000000000000000000000..ecad77f30c333d4a1250d9c9fa32f2f69c9887b8
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/ground_truth_target.json
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diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/layers.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/layers.json
new file mode 100644
index 0000000000000000000000000000000000000000..afdfea3b032e896b59aa3ca3293464331c734398
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/layers.json
@@ -0,0 +1,236 @@
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+          "row_count": 20,
+          "pattern_id": "pf_0000",
+          "normalized_pattern": "=IFERROR(INDEX('MASTERLIST'![$C,$9]:[$GY,$48],MATCH('BETA-INVENTORYLIST'![$B,R],'MASTERLIST'![$A,$9]:[$A,$48],0),MATCH('BETA-INVENTORYLIST'![C,$7],'MASTERLIST'![$C,$7]:[$GY,$7],0)),\"\")",
+          "sample_formula": "=IFERROR(INDEX('Master List'!$C$9:$GY$48,MATCH('Beta - Inventory List'!$B9,'Master List'!$A$9:$A$48,0),MATCH('Beta - Inventory List'!O$7,'Master List'!$C$7:$GY$7,0)),\"\")"
+        }
+      ],
+      "new_eval_cells": 20,
+      "total_masked_cells": 20
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00410"
+          ],
+          "sheet": "Master List",
+          "col": "A",
+          "rows": [
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28,
+            29,
+            30,
+            31,
+            32,
+            33,
+            34,
+            35,
+            36,
+            37,
+            38,
+            39,
+            40,
+            41,
+            42,
+            43,
+            44,
+            45,
+            46,
+            47,
+            48
+          ],
+          "row_ranges": "9-48",
+          "row_count": 40,
+          "pattern_id": "pf_0001",
+          "normalized_pattern": "=LEFT([C+1,R],1)&\"-\"&[C+2,R]",
+          "sample_formula": "=LEFT(B9,1)&\"-\"&C9"
+        }
+      ],
+      "new_eval_cells": 40,
+      "total_masked_cells": 60
+    },
+    {
+      "layer_index": 3,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00411",
+            "rg_00412",
+            "rg_00413",
+            "rg_00414",
+            "rg_00415",
+            "rg_00416",
+            "rg_00417",
+            "rg_00418",
+            "rg_00419",
+            "rg_00420",
+            "rg_00421",
+            "rg_00422",
+            "rg_00423",
+            "rg_00424",
+            "rg_00425",
+            "rg_00426",
+            "rg_00427",
+            "rg_00428",
+            "rg_00429",
+            "rg_00430"
+          ],
+          "sheet": "Master List",
+          "col": "C",
+          "rows": [
+            10,
+            12,
+            14,
+            16,
+            18,
+            20,
+            22,
+            24,
+            26,
+            28,
+            30,
+            32,
+            34,
+            36,
+            38,
+            40,
+            42,
+            44,
+            46,
+            48
+          ],
+          "row_ranges": "10,12,14,16,18,20,22,24,26,28,30,32,34,36,38,40,42,44,46,48",
+          "row_count": 20,
+          "pattern_id": "pf_0002",
+          "normalized_pattern": "=[C,R-1]",
+          "sample_formula": "=C9"
+        },
+        {
+          "region_ids": [
+            "rg_00431",
+            "rg_00432",
+            "rg_00433",
+            "rg_00434",
+            "rg_00435",
+            "rg_00436",
+            "rg_00437",
+            "rg_00438",
+            "rg_00439",
+            "rg_00440",
+            "rg_00441",
+            "rg_00442",
+            "rg_00443",
+            "rg_00444",
+            "rg_00445",
+            "rg_00446",
+            "rg_00447",
+            "rg_00448",
+            "rg_00449"
+          ],
+          "sheet": "Master List",
+          "col": "C",
+          "rows": [
+            11,
+            13,
+            15,
+            17,
+            19,
+            21,
+            23,
+            25,
+            27,
+            29,
+            31,
+            33,
+            35,
+            37,
+            39,
+            41,
+            43,
+            45,
+            47
+          ],
+          "row_ranges": "11,13,15,17,19,21,23,25,27,29,31,33,35,37,39,41,43,45,47",
+          "row_count": 19,
+          "pattern_id": "pf_0003",
+          "normalized_pattern": "=[C,R-1]+1",
+          "sample_formula": "=C10+1"
+        }
+      ],
+      "new_eval_cells": 39,
+      "total_masked_cells": 99
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00012",
+    "sheet": "Beta - Inventory List",
+    "col": "O",
+    "pattern_id": "pf_0000",
+    "row_count": 20,
+    "family_size": 20
+  }
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/mask_last.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..b35c892acfd754e18e2f31dddcf07695521ca626
Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/mask_last.xlsx differ
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/nl_task.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/nl_task.json
new file mode 100644
index 0000000000000000000000000000000000000000..e0bc6201a08778722d479ab64132cf05285f735d
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/nl_task.json
@@ -0,0 +1,26 @@
+{
+  "task_id": "cross_sheet__dag_6382dd960e79",
+  "prompt_en": "The \"Beta - Inventory List\" sheet is an inventory entry worksheet with item details such as ITEM#, Active Item?, When Counted, Weight of 1 counted quantity, receipt date fields, and area columns like Ladle, Furnace, and Nozzle. Please complete the blank entries in the Nozzle column on that sheet, specifically O9:O28. A few related blank inventory fields in the workbook may need to be in place first so the Nozzle entries fit with the rest of the item information. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "“Beta - Inventory List”工作表是一张库存录入表，里面包含 ITEM#、Active Item?、When Counted、Weight of 1 counted quantity、收货日期相关字段，以及 Ladle、Furnace、Nozzle 等区域列。请补全该工作表中 Nozzle 列的空白项，位置是 O9:O28。工作簿里有些相关的空白库存字段可能需要先补好，这样 Nozzle 列的内容才能和其余物料信息保持一致。请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt is minimal and scenario-based, names the target sheet and Nozzle range clearly, mentions related blanks only generally, 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": 53.4,
+  "attempt": 2
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/release_qc.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/release_qc.json
new file mode 100644
index 0000000000000000000000000000000000000000..a4b9aab9132b0d9fe9ba11119b2e185d7627ab13
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/release_qc.json
@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "CORRECT: mask boundary is clean, GT formulas are consistent, and the dependency chain is reconstructible from visible workbook structure despite being hard.",
+  "D1": {
+    "score": 5,
+    "reason": "All 99 contract cells are real cells within the stated sheet ranges, and the diff summary shows exactly 99 truly masked cells with no unmasked contract cells and no extra masking. The preserved-formula/cache-loss entries are correctly outside the actual masking concern. There are visible formula exemplars in nearby columns, but because the Master List A/C prerequisite chain is also blank, the whole task is not merely a zero-reasoning copy operation."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The layer-1 GT formulas are consistent INDEX/MATCH/IFERROR formulas referencing the Master List by item key and date/header. The cached outputs shown are plausible results of those formulas, including hyphen/zero/numeric values. The prerequisite formulas in src.xlsx also form a deterministic chain for ITEM# and lookup key construction, with no evident inconsistency."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL clearly identifies the workbook area and exact cells to complete: Beta - Inventory List!O9:O28. It also hints that related blank inventory fields may need to be filled first. The only minor weakness is that it calls the target the Nozzle column even though the visible row-7 header in column O is a date, so the business labeling is somewhat imprecise."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "From mask_last.xlsx and the NL, the solver can see visible INDEX/MATCH exemplars in nearby Beta - Inventory List cells, including formulas that reveal the cross-sheet lookup structure through Beta column B, Master List column A, and Master List row-7 headers. The Master List C chain has strong visible structural evidence: C9 is visible as 1, B alternates Inventory/Receipts, and item names repeat in pairs, supporting the duplicated/incrementing ITEM# sequence. Master List A has no direct visible formula exemplar, but its role as the lookup key is visible through formulas and can be inferred from the visible B/C fields and the item-key values on the inventory sheet. This is hard chain reasoning, not missing-root unsolvability.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 4,
+    "reason": "The source workbook appears structurally sound: formulas are consistent, no circular or broken chain is reported, and the cross-sheet references are coherent. Headers are multi-row and somewhat sparse, and there are some intentional-looking special values such as #N/A and hyphens, but no evidence of corruption or invalid source data."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The prompt sounds like a natural workplace request: it describes the inventory worksheet, identifies the area to complete, and asks the user to save the completed workbook. It avoids benchmark jargon."
+  },
+  "total": 27,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality hard cross-sheet chain task with clean masking, correct deterministic GT, and enough visible evidence to reconstruct the dependency chain. Minor wording imprecision around 'Nozzle column' does not prevent solving because the exact range is provided.",
+  "frontier_hardness": {
+    "score": 3,
+    "reason": "A frontier model should have a reasonable chance because the final INDEX/MATCH pattern is visibly exemplified, but it still must reconstruct a multi-hop cross-sheet chain involving masked Master List lookup keys and ITEM# sequencing across 99 cells.",
+    "fail_reason": "cross_sheet_multi_hop",
+    "is_valid_hardness": true
+  },
+  "_prompt_chars": 99216,
+  "_timing_load_workbooks": 0.85,
+  "_timing_context": 0.02,
+  "_timing_api": 41.54,
+  "local_difficulty": {
+    "difficulty_score": 80.8,
+    "difficulty": "hard",
+    "depth": 3,
+    "total_masked": 99,
+    "is_cross_sheet": true,
+    "unique_patterns": 4,
+    "avg_complexity": 8,
+    "cross_refs": 100,
+    "visible_exemplar_ratio": 0.048
+  },
+  "task_id": "cross_sheet__dag_6382dd960e79",
+  "elapsed": 42.4,
+  "publish_decision": "YES",
+  "release_tier": "GOLD",
+  "hard_block_reasons": []
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/target_contract.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/target_contract.json
new file mode 100644
index 0000000000000000000000000000000000000000..91bc6d358f6508b07d9ba172a3b1a5c77bc41b17
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/target_contract.json
@@ -0,0 +1,166 @@
+{
+  "task_id": "cross_sheet__dag_6382dd960e79",
+  "category": "cross_sheet",
+  "depth": 3,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "Beta - Inventory List",
+        "column": "O",
+        "column_header": "Nozzle",
+        "cell_range": "O9:O28",
+        "cell_count": 20,
+        "rows": [
+          9,
+          10,
+          11,
+          12,
+          13,
+          14,
+          15,
+          16,
+          17,
+          18,
+          19,
+          20,
+          21,
+          22,
+          23,
+          24,
+          25,
+          26,
+          27,
+          28
+        ],
+        "first_row_label": "I-1",
+        "last_row_label": "I-20"
+      }
+    ],
+    "cell_count": 20,
+    "formula_families": [
+      "lookup"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 3,
+      "regions": [
+        {
+          "sheet": "Master List",
+          "column": "C",
+          "column_header": "ITEM#",
+          "cell_range": "C10:C48",
+          "cell_count": 39,
+          "rows": [
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28,
+            29,
+            30,
+            31,
+            32,
+            33,
+            34,
+            35,
+            36,
+            37,
+            38,
+            39,
+            40,
+            41,
+            42,
+            43,
+            44,
+            45,
+            46,
+            47,
+            48
+          ],
+          "first_row_label": "R-1",
+          "last_row_label": "R-20"
+        }
+      ],
+      "cell_count": 39
+    },
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Master List",
+          "column": "A",
+          "column_header": "",
+          "cell_range": "A9:A48",
+          "cell_count": 40,
+          "rows": [
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28,
+            29,
+            30,
+            31,
+            32,
+            33,
+            34,
+            35,
+            36,
+            37,
+            38,
+            39,
+            40,
+            41,
+            42,
+            43,
+            44,
+            45,
+            46,
+            47,
+            48
+          ],
+          "first_row_label": "I-1",
+          "last_row_label": "R-20"
+        }
+      ],
+      "cell_count": 40
+    }
+  ],
+  "total_prerequisite_cells": 79,
+  "total_masked_cells": 99,
+  "ratio_total_vs_final": 5.0,
+  "sheets_involved": [
+    "Beta - Inventory List",
+    "Master List"
+  ]
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/task_meta.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/task_meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..1461e6ccaca184f5af2f05956627fa90ebebe91f
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/task_meta.json
@@ -0,0 +1,55 @@
+{
+  "fcb_id": "FCB-01412",
+  "task_id": "cross_sheet__dag_6382dd960e79",
+  "tier": "T2_HARD",
+  "category": "cross_sheet",
+  "depth": 3,
+  "total_masked": 99,
+  "is_cross_sheet": true,
+  "prompt_en": "The \"Beta - Inventory List\" sheet is an inventory entry worksheet with item details such as ITEM#, Active Item?, When Counted, Weight of 1 counted quantity, receipt date fields, and area columns like Ladle, Furnace, and Nozzle. Please complete the blank entries in the Nozzle column on that sheet, specifically O9:O28. A few related blank inventory fields in the workbook may need to be in place first so the Nozzle entries fit with the rest of the item information. Save the completed workbook as an .xlsx file.",
+  "prompt_cn": "“Beta - Inventory List”工作表是一张库存录入表，里面包含 ITEM#、Active Item?、When Counted、Weight of 1 counted quantity、收货日期相关字段，以及 Ladle、Furnace、Nozzle 等区域列。请补全该工作表中 Nozzle 列的空白项，位置是 O9:O28。工作簿里有些相关的空白库存字段可能需要先补好，这样 Nozzle 列的内容才能和其余物料信息保持一致。请将完成后的工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 27,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 4,
+    "D4": 4,
+    "D5": 4,
+    "D6": 5,
+    "frontier_hardness": 3,
+    "local_difficulty": 80.8
+  },
+  "source_file_id": "232205d1367351884-entering-data-for-an-inventory-list-which-is-dynamic-causes-issues-when-the-list-changes-sample-workbook-solution",
+  "inferred_domain": "general",
+  "domain_confidence": 0.0,
+  "sheet_profiles": [
+    {
+      "name": "Master List",
+      "used_range": "A1:GZ48",
+      "row_count": 48,
+      "col_count": 208,
+      "has_header": false,
+      "title_hint": "Master List",
+      "header_info": null
+    },
+    {
+      "name": "Beta - Inventory List",
+      "used_range": "A1:GY28",
+      "row_count": 28,
+      "col_count": 207,
+      "has_header": false,
+      "title_hint": "Beta   Inventory List",
+      "header_info": null
+    },
+    {
+      "name": "Beta - Inventory Receipts",
+      "used_range": "A1:MP31",
+      "row_count": 31,
+      "col_count": 354,
+      "has_header": false,
+      "title_hint": "Beta   Inventory Receipts",
+      "header_info": null
+    }
+  ]
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/audit.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/audit.json
new file mode 100644
index 0000000000000000000000000000000000000000..77455fe883c68119328e6241de554e796822cd2e
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/audit.json
@@ -0,0 +1,435 @@
+{
+  "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=17610B, src=29661B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=5.2 (total=52, final=10)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "39 unique values across 52 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: Summary!AB→AC(1/1)"
+        },
+        {
+          "check": "header_name_accuracy",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "duplicate_lookup_tie_break",
+          "pass": true,
+          "detail": "no lookup formulas"
+        },
+        {
+          "check": "src_chain_integrity",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean",
+          "sub_checks": {
+            "error_cells": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "external_refs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "volatile_funcs": {
+              "pass": true,
+              "count": 0,
+              "cells": []
+            },
+            "missing_sheets": {
+              "pass": true,
+              "count": 0,
+              "sheets": []
+            },
+            "circular_refs": {
+              "pass": true,
+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
+        }
+      ]
+    },
+    "post_nl_validate": {
+      "validate_label": "SOFT_WARN",
+      "validate_pass": true,
+      "hard_fails": 0,
+      "soft_warns": 2,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": false,
+          "detail": "contract=6, prompt=1, missing=4",
+          "missing_ranges": [
+            "AB5:AB15",
+            "B14:B23",
+            "B28:B36",
+            "B41:B51"
+          ],
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "cell_count_match",
+          "pass": true,
+          "detail": "no explicit total found; skipping (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "step_count_match",
+          "pass": true,
+          "detail": "contract=2, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": false,
+          "detail": "contract=['Data Entry', 'Summary'], missing=['Data Entry']",
+          "severity": "INFO"
+        },
+        {
+          "check": "no_formula_leak",
+          "pass": true,
+          "detail": "0 formula leaks",
+          "severity": "OK"
+        },
+        {
+          "check": "no_value_leak",
+          "pass": true,
+          "detail": "0 value leaks out of 10 GT cells",
+          "severity": "OK"
+        },
+        {
+          "check": "final_target_first",
+          "pass": true,
+          "detail": "no explicit final target marker (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "output_format",
+          "pass": true,
+          "detail": "output format found",
+          "severity": "OK"
+        },
+        {
+          "check": "header_in_prompt",
+          "pass": true,
+          "detail": "no column headers found in prompt",
+          "severity": "OK"
+        },
+        {
+          "check": "hint_specificity",
+          "pass": true,
+          "detail": "clean",
+          "severity": "OK"
+        },
+        {
+          "check": "evidence_scope",
+          "pass": false,
+          "detail": "referenced=1 mentioned=0 missing=1 [Data Entry]",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 3 col groups; CONFLICTS: Summary!AB16: visible='=SUM(AB5:AB15)' vs GT pattern='='Data Entry'!B#'"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": true,
+          "detail": "GT funcs: []",
+          "severity": "OK"
+        },
+        {
+          "check": "unmatched_default_rule",
+          "pass": true,
+          "detail": "no default-rule phrase found in NL",
+          "severity": "OK"
+        },
+        {
+          "check": "volatile_function_freeze",
+          "pass": true,
+          "detail": "volatile_cells=0",
+          "severity": "OK"
+        },
+        {
+          "check": "direct_answer_leakage",
+          "pass": true,
+          "detail": "0 leaks out of 52 GT cells (0%)",
+          "severity": "OK"
+        }
+      ]
+    },
+    "pre_nl_local": {
+      "local_total": 60,
+      "local_label": "PENDING_NL",
+      "hard_fail_flags": [],
+      "warnings": [
+        "nl_missing"
+      ],
+      "local_subscores": {
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+        "target_integrity": 15,
+        "taxonomy": 10,
+        "semantic_signal": 10,
+        "nl_schema": 0,
+        "target_alignment": 0,
+        "business_specificity": 0,
+        "nl_risk": 0
+      }
+    }
+  },
+  "verify": {
+    "uniqueness": {
+      "total_gt_cells": 52,
+      "total_non_none": 52,
+      "block_reasons": [],
+      "warnings": [],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "int": 52
+          },
+          "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": 52
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 52,
+      "total_masked": 52,
+      "total_visible": 1188,
+      "depth": 3,
+      "block_reasons": [],
+      "warnings": [
+        "broken_chains:2/52"
+      ],
+      "checks": {
+        "broken_chains": {
+          "count": 2,
+          "checked": 52,
+          "details": [
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+              "cell": "Data Entry!B47",
+              "missing_dep": "Data Entry!C47",
+              "formula": "=D47-C47"
+            },
+            {
+              "cell": "Data Entry!B34",
+              "missing_dep": "Data Entry!C34",
+              "formula": "=D34-C34"
+            }
+          ]
+        },
+        "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": 3,
+          "total_src_patterns": 15,
+          "zero_exemplar_count": 1,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": false,
+          "patterns": [
+            {
+              "pattern": "=REF-REF",
+              "total_in_src": 30,
+              "sample_formula": "=D14-C14"
+            }
+          ]
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "arithmetic": {
+            "total_masked": 40,
+            "visible_exemplars": 51
+          },
+          "reference": {
+            "total_masked": 12,
+            "visible_exemplars": 969
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.0,
+      "flags": []
+    },
+    "release_audit": {
+      "surface_single_sheet": false,
+      "surface_sheets": [
+        "Data Entry",
+        "Summary"
+      ],
+      "cross_sheet_actual": true,
+      "cross_sheet_ref_count": 11,
+      "referenced_sheets": [
+        "Data Entry"
+      ],
+      "target_shape": "single_column_series",
+      "layer_sizes": [
+        10,
+        12,
+        30
+      ],
+      "mask_last_total_cells": 52,
+      "layer_growth_ratios": [
+        1.2,
+        2.5
+      ],
+      "pattern_dominance_ratio": 0.5769,
+      "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_722c6ebe9a75",
+    "difficulty_score": 72.5,
+    "difficulty": "hard",
+    "depth": 3,
+    "total_masked": 52,
+    "is_cross_sheet": true,
+    "unique_patterns": 4,
+    "avg_complexity": 4.0,
+    "cross_refs": 11,
+    "visible_exemplar_ratio": 0.091,
+    "score_breakdown": {
+      "depth": 14,
+      "cross_sheet": 10,
+      "cell_count": 11.4,
+      "patterns": 12,
+      "complexity": 6.0,
+      "cross_refs": 10,
+      "vis_penalty": 9.1
+    }
+  }
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/ground_truth_full.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/ground_truth_full.json
new file mode 100644
index 0000000000000000000000000000000000000000..8c448057a5675a7e27e9d250ba93fd01593ab3ee
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/ground_truth_full.json
@@ -0,0 +1,470 @@
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+  }
+]
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/ground_truth_target.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/ground_truth_target.json
new file mode 100644
index 0000000000000000000000000000000000000000..445f8e976a6fd838d51ec440c3a70c914a6913ab
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/ground_truth_target.json
@@ -0,0 +1,82 @@
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+    "formula": "=AB7+AC8",
+    "cached_value": 24065,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Summary",
+    "col": "AC",
+    "row": 8,
+    "formula": "=AB8+AC9",
+    "cached_value": 24050,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Summary",
+    "col": "AC",
+    "row": 9,
+    "formula": "=AB9+AC10",
+    "cached_value": 22994,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Summary",
+    "col": "AC",
+    "row": 10,
+    "formula": "=AB10+AC11",
+    "cached_value": 17997,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Summary",
+    "col": "AC",
+    "row": 11,
+    "formula": "=AB11+AC12",
+    "cached_value": 12001,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Summary",
+    "col": "AC",
+    "row": 12,
+    "formula": "=AB12+AC13",
+    "cached_value": 10011,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Summary",
+    "col": "AC",
+    "row": 13,
+    "formula": "=AB13+AC14",
+    "cached_value": 7198,
+    "pattern_id": "pf_0003"
+  },
+  {
+    "sheet": "Summary",
+    "col": "AC",
+    "row": 14,
+    "formula": "=AB14+AC15",
+    "cached_value": 7899,
+    "pattern_id": "pf_0003"
+  }
+]
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/layers.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/layers.json
new file mode 100644
index 0000000000000000000000000000000000000000..a3eb8200257cc8cc4d2b3f2abc8f1d49034d3db4
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/layers.json
@@ -0,0 +1,266 @@
+{
+  "dag_id": "dag_722c6ebe9a75",
+  "file_id": "benjamin_rogers__940__NELoadVsGen",
+  "category": "cross_sheet",
+  "surface_category": "cross_sheet",
+  "effective_category": "cross_sheet",
+  "depth": 3,
+  "quality": {
+    "chain_error_cells": 0,
+    "chain_external_cells": 0,
+    "is_clean": true
+  },
+  "layers": [
+    {
+      "layer_index": 1,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00080"
+          ],
+          "sheet": "Summary",
+          "col": "AC",
+          "rows": [
+            5,
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14
+          ],
+          "row_ranges": "5-14",
+          "row_count": 10,
+          "pattern_id": "pf_0003",
+          "normalized_pattern": "=[C-1,R]+[C,R+1]",
+          "sample_formula": "=AB5+AC6"
+        }
+      ],
+      "new_eval_cells": 10,
+      "total_masked_cells": 10
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00177"
+          ],
+          "sheet": "Summary",
+          "col": "AB",
+          "rows": [
+            13,
+            14,
+            15
+          ],
+          "row_ranges": "13-15",
+          "row_count": 3,
+          "pattern_id": "pf_0045",
+          "normalized_pattern": "='DATAENTRY'![C-26,R+28]",
+          "sample_formula": "='Data Entry'!B41"
+        },
+        {
+          "region_ids": [
+            "rg_00226"
+          ],
+          "sheet": "Summary",
+          "col": "AB",
+          "rows": [
+            5
+          ],
+          "row_ranges": "5",
+          "row_count": 1,
+          "pattern_id": "pf_0072",
+          "normalized_pattern": "='DATAENTRY'![C-26,R+46]",
+          "sample_formula": "='Data Entry'!B51"
+        },
+        {
+          "region_ids": [
+            "rg_00238"
+          ],
+          "sheet": "Summary",
+          "col": "AB",
+          "rows": [
+            6
+          ],
+          "row_ranges": "6",
+          "row_count": 1,
+          "pattern_id": "pf_0084",
+          "normalized_pattern": "='DATAENTRY'![C-26,R+44]",
+          "sample_formula": "='Data Entry'!B50"
+        },
+        {
+          "region_ids": [
+            "rg_00250"
+          ],
+          "sheet": "Summary",
+          "col": "AB",
+          "rows": [
+            7
+          ],
+          "row_ranges": "7",
+          "row_count": 1,
+          "pattern_id": "pf_0096",
+          "normalized_pattern": "='DATAENTRY'![C-26,R+42]",
+          "sample_formula": "='Data Entry'!B49"
+        },
+        {
+          "region_ids": [
+            "rg_00262"
+          ],
+          "sheet": "Summary",
+          "col": "AB",
+          "rows": [
+            8
+          ],
+          "row_ranges": "8",
+          "row_count": 1,
+          "pattern_id": "pf_0108",
+          "normalized_pattern": "='DATAENTRY'![C-26,R+40]",
+          "sample_formula": "='Data Entry'!B48"
+        },
+        {
+          "region_ids": [
+            "rg_00274"
+          ],
+          "sheet": "Summary",
+          "col": "AB",
+          "rows": [
+            9
+          ],
+          "row_ranges": "9",
+          "row_count": 1,
+          "pattern_id": "pf_0120",
+          "normalized_pattern": "='DATAENTRY'![C-26,R+38]",
+          "sample_formula": "='Data Entry'!B47"
+        },
+        {
+          "region_ids": [
+            "rg_00286"
+          ],
+          "sheet": "Summary",
+          "col": "AB",
+          "rows": [
+            10
+          ],
+          "row_ranges": "10",
+          "row_count": 1,
+          "pattern_id": "pf_0132",
+          "normalized_pattern": "='DATAENTRY'![C-26,R+36]",
+          "sample_formula": "='Data Entry'!B46"
+        },
+        {
+          "region_ids": [
+            "rg_00294"
+          ],
+          "sheet": "Summary",
+          "col": "AB",
+          "rows": [
+            11
+          ],
+          "row_ranges": "11",
+          "row_count": 1,
+          "pattern_id": "pf_0140",
+          "normalized_pattern": "='DATAENTRY'![C-26,R+34]",
+          "sample_formula": "='Data Entry'!B45"
+        },
+        {
+          "region_ids": [
+            "rg_00298"
+          ],
+          "sheet": "Summary",
+          "col": "AB",
+          "rows": [
+            12
+          ],
+          "row_ranges": "12",
+          "row_count": 1,
+          "pattern_id": "pf_0144",
+          "normalized_pattern": "='DATAENTRY'![C-26,R+32]",
+          "sample_formula": "='Data Entry'!B44"
+        },
+        {
+          "region_ids": [
+            "rg_00173"
+          ],
+          "sheet": "Summary",
+          "col": "AC",
+          "rows": [
+            15
+          ],
+          "row_ranges": "15",
+          "row_count": 1,
+          "pattern_id": "pf_0041",
+          "normalized_pattern": "=[C-1,R]",
+          "sample_formula": "=AB15"
+        }
+      ],
+      "new_eval_cells": 12,
+      "total_masked_cells": 22
+    },
+    {
+      "layer_index": 3,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00072",
+            "rg_00073",
+            "rg_00074"
+          ],
+          "sheet": "Data Entry",
+          "col": "B",
+          "rows": [
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            28,
+            29,
+            30,
+            31,
+            32,
+            33,
+            34,
+            35,
+            36,
+            41,
+            42,
+            43,
+            44,
+            45,
+            46,
+            47,
+            48,
+            49,
+            50,
+            51
+          ],
+          "row_ranges": "14-23,28-36,41-51",
+          "row_count": 30,
+          "pattern_id": "pf_0001",
+          "normalized_pattern": "=[C+2,R]-[C+1,R]",
+          "sample_formula": "=D14-C14"
+        }
+      ],
+      "new_eval_cells": 30,
+      "total_masked_cells": 52
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00080",
+    "sheet": "Summary",
+    "col": "AC",
+    "pattern_id": "pf_0003",
+    "row_count": 10,
+    "family_size": 10
+  }
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/mask_last.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..cff6211491a5489066746dd1202e9c4037bcb178
Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/mask_last.xlsx differ
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/nl_task.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/nl_task.json
new file mode 100644
index 0000000000000000000000000000000000000000..7113406904cc67df0f549c00fd4149bc08444166
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/nl_task.json
@@ -0,0 +1,26 @@
+{
+  "task_id": "cross_sheet__dag_722c6ebe9a75",
+  "prompt_en": "The engineering workbook compares “Enron Load Forecast vs. Estimated Generation Capacity” and includes PJM-related sections for Fuel, Capacity, % of Stack, Outages, and Fuel Prices, with a Summary sheet tying the data together. Please complete the blank entries in the Summary sheet under the “Aggregate [Person_1].” column, specifically AC5:AC14. Some supporting blank columns elsewhere in the workbook feed into the Summary area, so those entries may need to be in place before the Summary column is meaningful. When you’re done, save the completed workbook as an .xlsx file.",
+  "prompt_cn": "这份工程工作簿用于对比“Enron Load Forecast vs. Estimated Generation Capacity”，其中包含与 PJM 相关的 Fuel、Capacity、% of Stack、Outages 和 Fuel Prices 等部分，并通过 Summary 工作表汇总这些数据。请补全 Summary 工作表中 “Aggregate [Person_1].” 列的空白项，位置是 AC5:AC14。工作簿中其他位置的一些空白支持列会影响 Summary 区域，因此这些内容可能需要先补齐，Summary 列才完整有意义。完成后，请将工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt names the visible workbook context and target sheet/column/range without giving formulas, operations, or numeric answers. It mentions the cross-sheet dependency only in natural terms and ends with the required .xlsx save instruction.",
+  "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": 11.3,
+  "attempt": 1
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/release_qc.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/release_qc.json
new file mode 100644
index 0000000000000000000000000000000000000000..7c0549c5f828bc886f7261566218d0360421b423
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/release_qc.json
@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "Well-designed chain-masking task: cells are real and cleanly masked, GT is consistent, and the dependency chain is reconstructible from visible workbook structure.",
+  "D1": {
+    "score": 5,
+    "reason": "All 52 contract cells are real in-range cells and are truly masked. The mask boundary is clean with no extra masked cells and no unmasked contract cells. The formula-cache-missing entries are correctly attributable to the known openpyxl artifact and are not extra blanks. No evidence of trivial same-pattern leakage that would make the task zero-reasoning copyable."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The layer-1 GT formulas are internally consistent with the source workbook. AC5:AC14 form a deterministic cumulative chain using AB plus the next AC row, with AC15 as the terminal prerequisite. Cached values align with the visible source data, including the AB functional-capacity values derived from Data Entry operational capacity."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL prompt clearly identifies the workbook context and the final target range Summary!AC5:AC14 under 'Aggregate [Person_1].'. It also warns that supporting blank columns elsewhere may need completion. It does not explicitly name the prerequisite ranges or formula logic, but that is acceptable for this benchmark style."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "From mask_last.xlsx and the NL alone, the dependency chain is reasonably reconstructible. Data Entry column B is labeled 'Operational Capacity' and sits between visible Outages and Capacity columns, making Capacity minus Outages inferable. Summary AB is labeled 'Functional Cap.' and aligns row-by-row with visible Summary columns that already reference the corresponding Data Entry rows, giving strong evidence that AB should pull Data Entry column B. The AC 'Aggregate [Person_1].' column can be inferred as a cumulative aggregate of functional capacity, especially with the visible total in AB16 and the ordered stack layout. The main minor gap is that the AC cumulative boundary condition is not explicitly stated, so it requires some spreadsheet/business reasoning rather than direct evidence.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 4,
+    "reason": "The source workbook appears structurally sound: headers are meaningful, formulas are deterministic, and the relevant source formulas/cached values are consistent. There are some data oddities such as blank outage cells behaving as zero and one NEPOOL row with outages exceeding capacity, producing a negative functional capacity, but these appear to be part of the workbook data rather than corruption."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The NL prompt sounds like a plausible workplace request, avoids benchmark jargon, and naturally describes the workbook context and requested completion."
+  },
+  "total": 27,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality task with clean masking, correct GT, and a solvable but nontrivial cross-sheet dependency chain. Minor NL underspecification is acceptable and contributes to intended reasoning difficulty.",
+  "frontier_hardness": {
+    "score": 3,
+    "reason": "This is moderately hard: the solver must reconstruct a three-layer chain across Summary and Data Entry, infer operational capacity from adjacent columns, map Summary functional capacity back to Data Entry, and then build a cumulative aggregate column. However, the formulas are simple and the visible headers/adjacent formulas provide enough structure, so a frontier model could plausibly succeed.",
+    "fail_reason": "cross_sheet_multi_hop",
+    "is_valid_hardness": true
+  },
+  "_prompt_chars": 36898,
+  "_timing_load_workbooks": 0.11,
+  "_timing_context": 0.01,
+  "_timing_api": 33.59,
+  "local_difficulty": {
+    "difficulty_score": 72.5,
+    "difficulty": "hard",
+    "depth": 3,
+    "total_masked": 52,
+    "is_cross_sheet": true,
+    "unique_patterns": 4,
+    "avg_complexity": 4,
+    "cross_refs": 11,
+    "visible_exemplar_ratio": 0.091
+  },
+  "task_id": "cross_sheet__dag_722c6ebe9a75",
+  "elapsed": 33.7,
+  "publish_decision": "YES",
+  "release_tier": "GOLD",
+  "hard_block_reasons": []
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/src.xlsx b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/src.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..8993eb94ceceec54b30d07e4bdb615e1af00b3c1
Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/src.xlsx differ
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/target_contract.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/target_contract.json
new file mode 100644
index 0000000000000000000000000000000000000000..a1a24d5ce7545cd65f033500508816268b99c4e9
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/target_contract.json
@@ -0,0 +1,130 @@
+{
+  "task_id": "cross_sheet__dag_722c6ebe9a75",
+  "category": "cross_sheet",
+  "depth": 3,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "Summary",
+        "column": "AC",
+        "column_header": "Aggregate [Person_1].",
+        "cell_range": "AC5:AC14",
+        "cell_count": 10,
+        "rows": [
+          5,
+          6,
+          7,
+          8,
+          9,
+          10,
+          11,
+          12,
+          13,
+          14
+        ],
+        "first_row_label": "[Person_3]",
+        "last_row_label": "Nuke"
+      }
+    ],
+    "cell_count": 10,
+    "formula_families": [
+      "arithmetic"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 3,
+      "regions": [
+        {
+          "sheet": "Data Entry",
+          "column": "B",
+          "column_header": "Operational Capacity",
+          "cell_range": "B14:B23, B28:B36, B41:B51",
+          "cell_count": 30,
+          "rows": [
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            28,
+            29,
+            30,
+            31,
+            32,
+            33,
+            34,
+            35,
+            36,
+            41,
+            42,
+            43,
+            44,
+            45,
+            46,
+            47,
+            48,
+            49,
+            50,
+            51
+          ],
+          "first_row_label": "[Person_5]. Base",
+          "last_row_label": "[Person_3]"
+        }
+      ],
+      "cell_count": 30
+    },
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "Summary",
+          "column": "AB",
+          "column_header": "Functional Cap.",
+          "cell_range": "AB5:AB15",
+          "cell_count": 11,
+          "rows": [
+            5,
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15
+          ],
+          "first_row_label": "[Person_3]",
+          "last_row_label": ""
+        },
+        {
+          "sheet": "Summary",
+          "column": "AC",
+          "column_header": "Aggregate [Person_1].",
+          "cell_range": "AC15",
+          "cell_count": 1,
+          "rows": [
+            15
+          ],
+          "first_row_label": "",
+          "last_row_label": ""
+        }
+      ],
+      "cell_count": 12
+    }
+  ],
+  "total_prerequisite_cells": 42,
+  "total_masked_cells": 52,
+  "ratio_total_vs_final": 5.2,
+  "sheets_involved": [
+    "Data Entry",
+    "Summary"
+  ]
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/task_meta.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/task_meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..7e7370f3b5d1a40551f1b51be40df5708a49d69c
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01417/task_meta.json
@@ -0,0 +1,46 @@
+{
+  "fcb_id": "FCB-01417",
+  "task_id": "cross_sheet__dag_722c6ebe9a75",
+  "tier": "T2_HARD",
+  "category": "cross_sheet",
+  "depth": 3,
+  "total_masked": 52,
+  "is_cross_sheet": true,
+  "prompt_en": "The engineering workbook compares “Enron Load Forecast vs. Estimated Generation Capacity” and includes PJM-related sections for Fuel, Capacity, % of Stack, Outages, and Fuel Prices, with a Summary sheet tying the data together. Please complete the blank entries in the Summary sheet under the “Aggregate [Person_1].” column, specifically AC5:AC14. Some supporting blank columns elsewhere in the workbook feed into the Summary area, so those entries may need to be in place before the Summary column is meaningful. When you’re done, save the completed workbook as an .xlsx file.",
+  "prompt_cn": "这份工程工作簿用于对比“Enron Load Forecast vs. Estimated Generation Capacity”，其中包含与 PJM 相关的 Fuel、Capacity、% of Stack、Outages 和 Fuel Prices 等部分，并通过 Summary 工作表汇总这些数据。请补全 Summary 工作表中 “Aggregate [Person_1].” 列的空白项，位置是 AC5:AC14。工作簿中其他位置的一些空白支持列会影响 Summary 区域，因此这些内容可能需要先补齐，Summary 列才完整有意义。完成后，请将工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 27,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 4,
+    "D4": 4,
+    "D5": 4,
+    "D6": 5,
+    "frontier_hardness": 3,
+    "local_difficulty": 72.5
+  },
+  "source_file_id": "benjamin_rogers__940__NELoadVsGen",
+  "inferred_domain": "engineering",
+  "domain_confidence": 0.5,
+  "sheet_profiles": [
+    {
+      "name": "Summary",
+      "used_range": "A1:AF103",
+      "row_count": 103,
+      "col_count": 32,
+      "has_header": false,
+      "title_hint": "Summary",
+      "header_info": null
+    },
+    {
+      "name": "Data Entry",
+      "used_range": "A1:AG53",
+      "row_count": 53,
+      "col_count": 33,
+      "has_header": false,
+      "title_hint": "Data Entry",
+      "header_info": null
+    }
+  ]
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/audit.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/audit.json
new file mode 100644
index 0000000000000000000000000000000000000000..070632edaeee115aa0b64cc793af58fe449b3300
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/audit.json
@@ -0,0 +1,532 @@
+{
+  "gate": {
+    "pre_nl_gate": {
+      "gate_label": "GATE_PASS",
+      "gate_pass": true,
+      "hard_fails": 0,
+      "warns": 0,
+      "checks": [
+        {
+          "check": "final_target_gate",
+          "pass": true,
+          "detail": "final_target has 5 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=306828B, src=344224B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=7.8 (total=39, final=5)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "19 unique values across 39 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: 4.2 Major Group Totals!E→D(10/16), 4.2 Major Group Totals!D→E(10/16), 4.2 Major Group Totals!F→E(10/16)"
+        },
+        {
+          "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": false,
+              "count": 1,
+              "sheets": [
+                "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad"
+              ]
+            },
+            "circular_refs": {
+              "pass": true,
+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
+        }
+      ]
+    },
+    "post_nl_validate": {
+      "validate_label": "SOFT_WARN",
+      "validate_pass": true,
+      "hard_fails": 0,
+      "soft_warns": 1,
+      "checks": [
+        {
+          "check": "cell_range_match",
+          "pass": true,
+          "detail": "contract=7, 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=2, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": false,
+          "detail": "contract=['1.2a Institution Profile', '4.2 Major Group Totals'], missing=['4.2 Major Group Totals']",
+          "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 5 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 [4.2 Major Group Totals, 4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad]",
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 3 col groups; CONFLICTS: 1.2a Institution Profile!G26: visible='=SUM(G22:G25)' vs GT pattern='=SUM(F#/SUM('#.# Major Group T'; 4.2 Major Group Totals!D1: visible='='1.1a Overall Instit. Profile' vs GT pattern='=SUM(D#:D#)'"
+        },
+        {
+          "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 39 GT cells (0%)",
+          "severity": "OK"
+        }
+      ]
+    },
+    "pre_nl_local": {
+      "local_total": 60,
+      "local_label": "PENDING_NL",
+      "hard_fail_flags": [],
+      "warnings": [
+        "release_verdict_not_keep",
+        "nl_missing"
+      ],
+      "local_subscores": {
+        "family_clean": 25,
+        "target_integrity": 15,
+        "taxonomy": 10,
+        "semantic_signal": 10,
+        "nl_schema": 0,
+        "target_alignment": 0,
+        "business_specificity": 0,
+        "nl_risk": 0
+      }
+    }
+  },
+  "verify": {
+    "uniqueness": {
+      "total_gt_cells": 39,
+      "total_non_none": 39,
+      "block_reasons": [],
+      "warnings": [
+        "mixed_gt_types:{'float': 5, 'int': 34}"
+      ],
+      "checks": {
+        "rank_tie_risk": {
+          "rank_cells": 0,
+          "tie_issues": 0,
+          "details": []
+        },
+        "trivial_gt": {
+          "issues": []
+        },
+        "gt_type_consistency": {
+          "types": {
+            "float": 5,
+            "int": 34
+          },
+          "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": false,
+          "count": 1,
+          "sheets": [
+            "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad"
+          ]
+        },
+        "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": 39
+      }
+    },
+    "solver_visibility": {
+      "contract_cells": 39,
+      "total_masked": 39,
+      "total_visible": 8487,
+      "depth": 3,
+      "block_reasons": [
+        "broken_chains:32/39=82.1%"
+      ],
+      "warnings": [
+        "missing_sheets:['4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad']"
+      ],
+      "checks": {
+        "broken_chains": {
+          "count": 32,
+          "checked": 39,
+          "details": [
+            {
+              "cell": "4.2 Major Group Totals!D8",
+              "missing_dep": "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad!D9",
+              "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D9)"
+            },
+            {
+              "cell": "4.2 Major Group Totals!D17",
+              "missing_dep": "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad!D18",
+              "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D18)"
+            },
+            {
+              "cell": "4.2 Major Group Totals!E8",
+              "missing_dep": "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad!E9",
+              "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E9)"
+            },
+            {
+              "cell": "4.2 Major Group Totals!D20",
+              "missing_dep": "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad!D21",
+              "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D21)"
+            },
+            {
+              "cell": "4.2 Major Group Totals!D26",
+              "missing_dep": "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad!D27",
+              "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D27)"
+            },
+            {
+              "cell": "4.2 Major Group Totals!E17",
+              "missing_dep": "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad!E18",
+              "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E18)"
+            },
+            {
+              "cell": "4.2 Major Group Totals!D23",
+              "missing_dep": "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad!D24",
+              "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D24)"
+            },
+            {
+              "cell": "4.2 Major Group Totals!E20",
+              "missing_dep": "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad!E21",
+              "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E21)"
+            },
+            {
+              "cell": "4.2 Major Group Totals!E26",
+              "missing_dep": "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad!E27",
+              "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E27)"
+            },
+            {
+              "cell": "4.2 Major Group Totals!E23",
+              "missing_dep": "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad!E24",
+              "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E24)"
+            },
+            {
+              "cell": "4.2 Major Group Totals!D19",
+              "missing_dep": "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad!D20",
+              "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D20)"
+            },
+            {
+              "cell": "4.2 Major Group Totals!E16",
+              "missing_dep": "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad!E17",
+              "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E17)"
+            },
+            {
+              "cell": "4.2 Major Group Totals!D16",
+              "missing_dep": "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad!D17",
+              "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D17)"
+            },
+            {
+              "cell": "4.2 Major Group Totals!D22",
+              "missing_dep": "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad!D23",
+              "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D23)"
+            },
+            {
+              "cell": "4.2 Major Group Totals!D28",
+              "missing_dep": "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad!D29",
+              "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D29)"
+            },
+            {
+              "cell": "4.2 Major Group Totals!E19",
+              "missing_dep": "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad!E20",
+              "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E20)"
+            },
+            {
+              "cell": "4.2 Major Group Totals!D25",
+              "missing_dep": "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad!D26",
+              "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D26)"
+            },
+            {
+              "cell": "4.2 Major Group Totals!E22",
+              "missing_dep": "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad!E23",
+              "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E23)"
+            },
+            {
+              "cell": "4.2 Major Group Totals!E28",
+              "missing_dep": "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad!E29",
+              "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E29)"
+            },
+            {
+              "cell": "4.2 Major Group Totals!E25",
+              "missing_dep": "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad!E26",
+              "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E26)"
+            }
+          ]
+        },
+        "orphan_masks": {
+          "count": 0,
+          "details": []
+        },
+        "self_contained": {
+          "missing_sheets": [
+            "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad"
+          ]
+        }
+      }
+    },
+    "exemplar": {
+      "soft_block": true,
+      "block_reasons": [
+        "zero_exemplar:1_patterns"
+      ],
+      "checks": {
+        "pattern_coverage": {
+          "pass": false,
+          "total_gt_patterns": 3,
+          "total_src_patterns": 10,
+          "zero_exemplar_count": 1,
+          "low_exemplar_count": 0
+        },
+        "zero_exemplar_patterns": {
+          "pass": false,
+          "patterns": [
+            {
+              "pattern": "=SUM(REF/SUM(RANGE))",
+              "total_in_src": 5,
+              "sample_formula": "=SUM(F36/SUM('4.2 Major Group Totals'!D$10:'4.2 Major Group Totals'!E$10))"
+            }
+          ]
+        },
+        "low_exemplar_patterns": {
+          "pass": true,
+          "patterns": []
+        },
+        "func_coverage": {
+          "SUM": {
+            "total_masked": 39,
+            "visible_exemplars": 1044
+          }
+        }
+      }
+    },
+    "shortcut": {
+      "shortcut_risk": 0.0,
+      "flags": []
+    },
+    "release_audit": {
+      "surface_single_sheet": false,
+      "surface_sheets": [
+        "1.2a Institution Profile",
+        "4.2 Major Group Totals"
+      ],
+      "cross_sheet_actual": true,
+      "cross_sheet_ref_count": 42,
+      "referenced_sheets": [
+        "4.2 Major Group Totals",
+        "4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad"
+      ],
+      "target_shape": "summary_block",
+      "layer_sizes": [
+        5,
+        2,
+        32
+      ],
+      "mask_last_total_cells": 39,
+      "layer_growth_ratios": [
+        0.4,
+        16.0
+      ],
+      "pattern_dominance_ratio": 0.8205,
+      "visible_clone_regions": 4,
+      "nearby_visible_clone_regions": 4,
+      "nearby_visible_clone_rows": 32,
+      "nearby_visible_clone_ratio": 1.0,
+      "promptability_score": 0.25,
+      "release_reasons": [
+        "layer_explosion",
+        "parallel_block_leakage"
+      ],
+      "release_verdict": "REBUILD_REQUIRED"
+    }
+  },
+  "difficulty": {
+    "task_id": "cross_sheet__dag_877092ea65cc",
+    "difficulty_score": 69.8,
+    "difficulty": "hard",
+    "depth": 3,
+    "total_masked": 39,
+    "is_cross_sheet": true,
+    "unique_patterns": 5,
+    "avg_complexity": 5.0,
+    "cross_refs": 42,
+    "visible_exemplar_ratio": 0.722,
+    "score_breakdown": {
+      "depth": 14,
+      "cross_sheet": 10,
+      "cell_count": 10.6,
+      "patterns": 15,
+      "complexity": 7.5,
+      "cross_refs": 10,
+      "vis_penalty": 2.8
+    }
+  }
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/ground_truth_full.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/ground_truth_full.json
new file mode 100644
index 0000000000000000000000000000000000000000..b9f5be5a4d48affeeeb5664dd4603902f98610de
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/ground_truth_full.json
@@ -0,0 +1,353 @@
+[
+  {
+    "sheet": "1.2a Institution Profile",
+    "col": "G",
+    "row": 36,
+    "formula": "=SUM(F36/SUM('4.2 Major Group Totals'!D$10:'4.2 Major Group Totals'!E$10))",
+    "cached_value": 0.6466916354556804,
+    "pattern_id": "pf_0013",
+    "layer": 1
+  },
+  {
+    "sheet": "1.2a Institution Profile",
+    "col": "G",
+    "row": 37,
+    "formula": "=SUM(F37/SUM('4.2 Major Group Totals'!D$10:'4.2 Major Group Totals'!E$10))",
+    "cached_value": 0.1704119850187266,
+    "pattern_id": "pf_0013",
+    "layer": 1
+  },
+  {
+    "sheet": "1.2a Institution Profile",
+    "col": "G",
+    "row": 38,
+    "formula": "=SUM(F38/SUM('4.2 Major Group Totals'!D$10:'4.2 Major Group Totals'!E$10))",
+    "cached_value": 0.04307116104868914,
+    "pattern_id": "pf_0013",
+    "layer": 1
+  },
+  {
+    "sheet": "1.2a Institution Profile",
+    "col": "G",
+    "row": 39,
+    "formula": "=SUM(F39/SUM('4.2 Major Group Totals'!D$10:'4.2 Major Group Totals'!E$10))",
+    "cached_value": 0.02247191011235955,
+    "pattern_id": "pf_0013",
+    "layer": 1
+  },
+  {
+    "sheet": "1.2a Institution Profile",
+    "col": "G",
+    "row": 40,
+    "formula": "=SUM(F40/SUM('4.2 Major Group Totals'!D$10:'4.2 Major Group Totals'!E$10))",
+    "cached_value": 0.008114856429463172,
+    "pattern_id": "pf_0013",
+    "layer": 1
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "D",
+    "row": 10,
+    "formula": "=SUM(D8:D9)",
+    "cached_value": 534,
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "E",
+    "row": 10,
+    "formula": "=SUM(E8:E9)",
+    "cached_value": 1068,
+    "pattern_id": "pf_0001",
+    "layer": 2
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "D",
+    "row": 8,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D9)",
+    "cached_value": 341,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "D",
+    "row": 9,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D10)",
+    "cached_value": 193,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "D",
+    "row": 15,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D16)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "D",
+    "row": 16,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D17)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "D",
+    "row": 17,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D18)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "D",
+    "row": 18,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D19)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "D",
+    "row": 19,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D20)",
+    "cached_value": 5,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "D",
+    "row": 20,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D21)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "D",
+    "row": 21,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D22)",
+    "cached_value": 30,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "D",
+    "row": 22,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D23)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "D",
+    "row": 23,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D24)",
+    "cached_value": 14,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "D",
+    "row": 24,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D25)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "D",
+    "row": 25,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D26)",
+    "cached_value": 5,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "D",
+    "row": 26,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D27)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "D",
+    "row": 27,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D28)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "D",
+    "row": 28,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D29)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "E",
+    "row": 8,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E9)",
+    "cached_value": 632,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "E",
+    "row": 9,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E10)",
+    "cached_value": 436,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "E",
+    "row": 15,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E16)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "E",
+    "row": 16,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E17)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "E",
+    "row": 17,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E18)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "E",
+    "row": 18,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E19)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "E",
+    "row": 19,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E20)",
+    "cached_value": 3,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "E",
+    "row": 20,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E21)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "E",
+    "row": 21,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E22)",
+    "cached_value": 83,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "E",
+    "row": 22,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E23)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "E",
+    "row": 23,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E24)",
+    "cached_value": 29,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "E",
+    "row": 24,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E25)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "E",
+    "row": 25,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E26)",
+    "cached_value": 8,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "E",
+    "row": 26,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E27)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "E",
+    "row": 27,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E28)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  },
+  {
+    "sheet": "4.2 Major Group Totals",
+    "col": "E",
+    "row": 28,
+    "formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E29)",
+    "cached_value": 0,
+    "pattern_id": "pf_0002",
+    "layer": 3
+  }
+]
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/ground_truth_target.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/ground_truth_target.json
new file mode 100644
index 0000000000000000000000000000000000000000..01549ff1069d3d3c412c8587e64e402ce7932db2
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/ground_truth_target.json
@@ -0,0 +1,42 @@
+[
+  {
+    "sheet": "1.2a Institution Profile",
+    "col": "G",
+    "row": 36,
+    "formula": "=SUM(F36/SUM('4.2 Major Group Totals'!D$10:'4.2 Major Group Totals'!E$10))",
+    "cached_value": 0.6466916354556804,
+    "pattern_id": "pf_0013"
+  },
+  {
+    "sheet": "1.2a Institution Profile",
+    "col": "G",
+    "row": 37,
+    "formula": "=SUM(F37/SUM('4.2 Major Group Totals'!D$10:'4.2 Major Group Totals'!E$10))",
+    "cached_value": 0.1704119850187266,
+    "pattern_id": "pf_0013"
+  },
+  {
+    "sheet": "1.2a Institution Profile",
+    "col": "G",
+    "row": 38,
+    "formula": "=SUM(F38/SUM('4.2 Major Group Totals'!D$10:'4.2 Major Group Totals'!E$10))",
+    "cached_value": 0.04307116104868914,
+    "pattern_id": "pf_0013"
+  },
+  {
+    "sheet": "1.2a Institution Profile",
+    "col": "G",
+    "row": 39,
+    "formula": "=SUM(F39/SUM('4.2 Major Group Totals'!D$10:'4.2 Major Group Totals'!E$10))",
+    "cached_value": 0.02247191011235955,
+    "pattern_id": "pf_0013"
+  },
+  {
+    "sheet": "1.2a Institution Profile",
+    "col": "G",
+    "row": 40,
+    "formula": "=SUM(F40/SUM('4.2 Major Group Totals'!D$10:'4.2 Major Group Totals'!E$10))",
+    "cached_value": 0.008114856429463172,
+    "pattern_id": "pf_0013"
+  }
+]
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/layers.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/layers.json
new file mode 100644
index 0000000000000000000000000000000000000000..23dafa761764b5037cc3026356876daf313149ec
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/layers.json
@@ -0,0 +1,155 @@
+{
+  "dag_id": "dag_877092ea65cc",
+  "file_id": "2a1eb375-0ee4-43a9-8e4a-28bbb93b2c5e",
+  "category": "cross_sheet",
+  "surface_category": "cross_sheet",
+  "effective_category": "cross_sheet",
+  "depth": 3,
+  "quality": {
+    "chain_error_cells": 0,
+    "chain_external_cells": 0,
+    "is_clean": true
+  },
+  "layers": [
+    {
+      "layer_index": 1,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00432"
+          ],
+          "sheet": "1.2a Institution Profile",
+          "col": "G",
+          "rows": [
+            36,
+            37,
+            38,
+            39,
+            40
+          ],
+          "row_ranges": "36-40",
+          "row_count": 5,
+          "pattern_id": "pf_0013",
+          "normalized_pattern": "=SUM([C-1,R]/SUM('4.2MAJORGROUPTOTALS'![C-3,$10]:'4.2MAJORGROUPTOTALS'![C-2,$10]))",
+          "sample_formula": "=SUM(F36/SUM('4.2 Major Group Totals'!D$10:'4.2 Major Group Totals'!E$10))"
+        }
+      ],
+      "new_eval_cells": 5,
+      "total_masked_cells": 5
+    },
+    {
+      "layer_index": 2,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00248"
+          ],
+          "sheet": "4.2 Major Group Totals",
+          "col": "D",
+          "rows": [
+            10
+          ],
+          "row_ranges": "10",
+          "row_count": 1,
+          "pattern_id": "pf_0001",
+          "normalized_pattern": "=SUM([C,R-2]:[C,R-1])",
+          "sample_formula": "=SUM(D8:D9)"
+        },
+        {
+          "region_ids": [
+            "rg_00249"
+          ],
+          "sheet": "4.2 Major Group Totals",
+          "col": "E",
+          "rows": [
+            10
+          ],
+          "row_ranges": "10",
+          "row_count": 1,
+          "pattern_id": "pf_0001",
+          "normalized_pattern": "=SUM([C,R-2]:[C,R-1])",
+          "sample_formula": "=SUM(E8:E9)"
+        }
+      ],
+      "new_eval_cells": 2,
+      "total_masked_cells": 7
+    },
+    {
+      "layer_index": 3,
+      "new_pattern_groups": [
+        {
+          "region_ids": [
+            "rg_00258",
+            "rg_00259"
+          ],
+          "sheet": "4.2 Major Group Totals",
+          "col": "D",
+          "rows": [
+            8,
+            9,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28
+          ],
+          "row_ranges": "8-9,15-28",
+          "row_count": 16,
+          "pattern_id": "pf_0002",
+          "normalized_pattern": "=SUM('4.2(AC)MAJORGROUPENROLL-GRAD:4.2(MS)MAJORGROUPENROLL-GRAD'![C,R+1])",
+          "sample_formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!D9)"
+        },
+        {
+          "region_ids": [
+            "rg_00260",
+            "rg_00261"
+          ],
+          "sheet": "4.2 Major Group Totals",
+          "col": "E",
+          "rows": [
+            8,
+            9,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28
+          ],
+          "row_ranges": "8-9,15-28",
+          "row_count": 16,
+          "pattern_id": "pf_0002",
+          "normalized_pattern": "=SUM('4.2(AC)MAJORGROUPENROLL-GRAD:4.2(MS)MAJORGROUPENROLL-GRAD'![C,R+1])",
+          "sample_formula": "=SUM('4.2(AC) Major Group Enroll-Grad:4.2(MS) Major Group Enroll-Grad'!E9)"
+        }
+      ],
+      "new_eval_cells": 32,
+      "total_masked_cells": 39
+    }
+  ],
+  "sink": {
+    "region_id": "rg_00432",
+    "sheet": "1.2a Institution Profile",
+    "col": "G",
+    "pattern_id": "pf_0013",
+    "row_count": 5,
+    "family_size": 5
+  }
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/nl_task.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/nl_task.json
new file mode 100644
index 0000000000000000000000000000000000000000..91d5bac6824d4acd38bd30b0b0f6fa2d59f72efa
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/nl_task.json
@@ -0,0 +1,26 @@
+{
+  "task_id": "cross_sheet__dag_877092ea65cc",
+  "prompt_en": "The enrollment report for Oglala Lakota College is organized across the Institution Profile sheets, including the Student ISC and FTE Counts section on sheet \"1.2a Institution Profile.\" In that sheet, the AY rows in Table 1.2a have visible columns for Indian Student Count, Full Time Equivalent counts, Enrollment, and \"% of Enrollment.\" Please fill in the missing values in the \"% of Enrollment\" column for the visible academic-year rows, specifically G36:G40. Some related count and enrollment fields in the workbook need to be in place before this percentage column makes sense, so use the surrounding visible entries across the workbook to complete the blanks consistently. Please save the completed workbook as an .xlsx file.",
+  "prompt_cn": "Oglala Lakota College 的入学报告分布在 Institution Profile 相关工作表中，其中 \"1.2a Institution Profile\" 工作表包含 Student ISC and FTE Counts 部分。在该工作表的 Table 1.2a 中，各学年行已经显示了 Indian Student Count、Full Time Equivalent counts、Enrollment 和 \"% of Enrollment\" 等列。请补全 \"% of Enrollment\" 列中可见学年行的缺失值，位置是 G36:G40。工作簿中一些相关的学生人数和入学人数栏位需要先保持完整，这一百分比列才会合理，因此请根据工作簿中周围可见的内容把空白处填写一致。请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt stays minimal and business-context focused, identifies the exact sheet and target range, mentions the natural dependency without explaining operations, and avoids formulas or answer values.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 4,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
+      "operation_words": 0,
+      "cell_range_density": 4,
+      "step_by_step": 0,
+      "column_operation_mapping": 0,
+      "formula_pattern_hints": 0
+    },
+    "operation_words_found": [],
+    "cell_ranges_found": 1
+  },
+  "version": "v7",
+  "model": "gpt-5.5",
+  "elapsed": 40.7,
+  "attempt": 2
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/release_qc.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/release_qc.json
new file mode 100644
index 0000000000000000000000000000000000000000..7795f1cd17d187eeede4f3a25be5a654f7dfa068
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/release_qc.json
@@ -0,0 +1,58 @@
+{
+  "binary": true,
+  "binary_reason": "CORRECT — masked cells are real and clean, GT is consistent, and the cross-sheet chain is reconstructible from visible Table 4.2 structure, though the NL is somewhat vague about prerequisite cells.",
+  "D1": {
+    "score": 4,
+    "reason": "All 39 contract cells are truly masked, within real sheet ranges, and there is no extra masking outside the contract. Formula-cache loss is correctly only an openpyxl artifact. Visible F/G exemplars make the D/E Major Group Totals formulas easy to infer, but the final task still requires identifying the cross-sheet AI-enrollment denominator, so it is not globally trivial. Minor concern: D15:E28 are included as prerequisites even though they are not needed for G36:G40."
+  },
+  "D2": {
+    "score": 5,
+    "reason": "The layer-1 GT formulas are deterministic and consistent with cached values: each percentage is F36:F40 divided by SUM('4.2 Major Group Totals'!D10:E10), i.e. total American Indian enrollment. The cached results align with a denominator of 1602."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL clearly identifies the final target cells G36:G40 and the '% of Enrollment' column. It gives reasonable contextual guidance that related enrollment/count fields elsewhere must be completed, but it does not explicitly name sheet '4.2 Major Group Totals' or the intermediate masked cells, so there is some ambiguity for the full masked chain."
+  },
+  "D4": {
+    "score": 4,
+    "reason": "From mask_last.xlsx and the NL alone, the task is reconstructible. The target sheet visibly says the tribal enrollment total should not exceed the total number of American Indian students enrolled and points to Table 4.2; the 4.2 Major Group Totals sheet visibly labels D/E as American Indian M/F and row 10 as Total. F/G formulas provide strong structural exemplars for D/E cross-sheet SUM formulas, and F10/G10 show the row-total pattern for D10/E10. The final percentage formula can be inferred as '# Enrolled' divided by total AI enrollment D10+E10. Minor gap: the NL does not explicitly direct the solver to fill the extra D15:E28 graduation formulas, though their patterns are visible.",
+    "d4_type": "ok"
+  },
+  "D5": {
+    "score": 5,
+    "reason": "The source workbook appears structurally sound: formulas are coherent, cross-sheet references are valid, headers are meaningful, and automated checks report no chain errors, external-cell issues, or extra masking. No corruption or broken formula evidence is present."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The NL reads like a natural workplace request about completing an enrollment report, identifies the relevant report section and cells, and avoids benchmark-specific jargon."
+  },
+  "total": 27,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality cross-sheet chain task with clean masking and correct GT. The only notable weakness is that the NL is somewhat vague about intermediate/prerequisite cells and some masked Major Group Totals graduation rows are not necessary for the final percentage calculation, but visible structure makes them recoverable.",
+  "frontier_hardness": {
+    "score": 3,
+    "reason": "This is moderately hard: it requires cross-sheet reasoning, reconstructing masked intermediate totals from visible adjacent formula patterns, and inferring that the denominator is total American Indian enrollment from Table 4.2. However, the visible F/G exemplars and clear row/column labels make the formula patterns fairly discoverable, so a frontier model might succeed.",
+    "fail_reason": "cross_sheet_multi_hop",
+    "is_valid_hardness": true
+  },
+  "_prompt_chars": 72928,
+  "_timing_load_workbooks": 6.16,
+  "_timing_context": 0.14,
+  "_timing_api": 200.44,
+  "local_difficulty": {
+    "difficulty_score": 69.8,
+    "difficulty": "hard",
+    "depth": 3,
+    "total_masked": 39,
+    "is_cross_sheet": true,
+    "unique_patterns": 5,
+    "avg_complexity": 5,
+    "cross_refs": 42,
+    "visible_exemplar_ratio": 0.722
+  },
+  "task_id": "cross_sheet__dag_877092ea65cc",
+  "elapsed": 206.7,
+  "publish_decision": "YES",
+  "release_tier": "GOLD",
+  "hard_block_reasons": []
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/target_contract.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/target_contract.json
new file mode 100644
index 0000000000000000000000000000000000000000..c9272b73ba3d4461706636a4893e759010ec551b
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/target_contract.json
@@ -0,0 +1,128 @@
+{
+  "task_id": "cross_sheet__dag_877092ea65cc",
+  "category": "cross_sheet",
+  "depth": 3,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "1.2a Institution Profile",
+        "column": "G",
+        "column_header": "% of Enrollment",
+        "cell_range": "G36:G40",
+        "cell_count": 5,
+        "rows": [
+          36,
+          37,
+          38,
+          39,
+          40
+        ],
+        "first_row_label": "Oglala Sioux Tribe",
+        "last_row_label": "[Person_20]"
+      }
+    ],
+    "cell_count": 5,
+    "formula_families": [
+      "aggregation"
+    ]
+  },
+  "prerequisite_steps": [
+    {
+      "layer": 3,
+      "regions": [
+        {
+          "sheet": "4.2 Major Group Totals",
+          "column": "D",
+          "column_header": "M",
+          "cell_range": "D8:D9, D15:D28",
+          "cell_count": 16,
+          "rows": [
+            8,
+            9,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28
+          ],
+          "first_row_label": "Full Time",
+          "last_row_label": "Graduates who received A*CF support at s"
+        },
+        {
+          "sheet": "4.2 Major Group Totals",
+          "column": "E",
+          "column_header": "F",
+          "cell_range": "E8:E9, E15:E28",
+          "cell_count": 16,
+          "rows": [
+            8,
+            9,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28
+          ],
+          "first_row_label": "Full Time",
+          "last_row_label": "Graduates who received A*CF support at s"
+        }
+      ],
+      "cell_count": 32
+    },
+    {
+      "layer": 2,
+      "regions": [
+        {
+          "sheet": "4.2 Major Group Totals",
+          "column": "D",
+          "column_header": "M",
+          "cell_range": "D10",
+          "cell_count": 1,
+          "rows": [
+            10
+          ],
+          "first_row_label": "Total",
+          "last_row_label": ""
+        },
+        {
+          "sheet": "4.2 Major Group Totals",
+          "column": "E",
+          "column_header": "F",
+          "cell_range": "E10",
+          "cell_count": 1,
+          "rows": [
+            10
+          ],
+          "first_row_label": "Total",
+          "last_row_label": ""
+        }
+      ],
+      "cell_count": 2
+    }
+  ],
+  "total_prerequisite_cells": 34,
+  "total_masked_cells": 39,
+  "ratio_total_vs_final": 7.8,
+  "sheets_involved": [
+    "1.2a Institution Profile",
+    "4.2 Major Group Totals"
+  ]
+}
\ No newline at end of file
diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/task_meta.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/task_meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..134de50e1c8ff3b30424e796bee5cdc98b7a5295
--- /dev/null
+++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01424/task_meta.json
@@ -0,0 +1,639 @@
+{
+  "fcb_id": "FCB-01424",
+  "task_id": "cross_sheet__dag_877092ea65cc",
+  "tier": "T2_HARD",
+  "category": "cross_sheet",
+  "depth": 3,
+  "total_masked": 39,
+  "is_cross_sheet": true,
+  "prompt_en": "The enrollment report for Oglala Lakota College is organized across the Institution Profile sheets, including the Student ISC and FTE Counts section on sheet \"1.2a Institution Profile.\" In that sheet, the AY rows in Table 1.2a have visible columns for Indian Student Count, Full Time Equivalent counts, Enrollment, and \"% of Enrollment.\" Please fill in the missing values in the \"% of Enrollment\" column for the visible academic-year rows, specifically G36:G40. Some related count and enrollment fields in the workbook need to be in place before this percentage column makes sense, so use the surrounding visible entries across the workbook to complete the blanks consistently. Please save the completed workbook as an .xlsx file.",
+  "prompt_cn": "Oglala Lakota College 的入学报告分布在 Institution Profile 相关工作表中，其中 \"1.2a Institution Profile\" 工作表包含 Student ISC and FTE Counts 部分。在该工作表的 Table 1.2a 中，各学年行已经显示了 Indian Student Count、Full Time Equivalent counts、Enrollment 和 \"% of Enrollment\" 等列。请补全 \"% of Enrollment\" 列中可见学年行的缺失值，位置是 G36:G40。工作簿中一些相关的学生人数和入学人数栏位需要先保持完整，这一百分比列才会合理，因此请根据工作簿中周围可见的内容把空白处填写一致。请将完成后的工作簿保存为 .xlsx 文件。",
+  "qc": {
+    "total": 27,
+    "verdict": "RELEASE",
+    "D1": 4,
+    "D2": 5,
+    "D3": 4,
+    "D4": 4,
+    "D5": 5,
+    "D6": 5,
+    "frontier_hardness": 3,
+    "local_difficulty": 69.8
+  },
+  "source_file_id": "2a1eb375-0ee4-43a9-8e4a-28bbb93b2c5e",
+  "inferred_domain": "education",
+  "domain_confidence": 0.75,
+  "sheet_profiles": [
+    {
+      "name": "1.1a Overall Instit. Profile",
+      "used_range": "A1:BF294",
+      "row_count": 294,
+      "col_count": 58,
+      "has_header": false,
+      "title_hint": "1.1a Overall Instit. Profile",
+      "header_info": null
+    },
+    {
+      "name": "1.1b Administration",
+      "used_range": "A1:E20",
+      "row_count": 20,
+      "col_count": 5,
+      "has_header": false,
+      "title_hint": "1.1b Administration",
+      "header_info": null
+    },
+    {
+      "name": "1.2a Institution Profile",
+      "used_range": "A1:AF289",
+      "row_count": 289,
+      "col_count": 32,
+      "has_header": false,
+      "title_hint": "1.2a Institution Profile",
+      "header_info": null
+    },
+    {
+      "name": "1.3a First Time Students",
+      "used_range": "A1:U55",
+      "row_count": 55,
+      "col_count": 21,
+      "has_header": false,
+      "title_hint": "1.3a First Time Students",
+      "header_info": null
+    },
+    {
+      "name": "1.3b General Student Pop",
+      "used_range": "A1:J52",
+      "row_count": 52,
+      "col_count": 10,
+      "has_header": false,
+      "title_hint": "1.3b General Student Pop",
+      "header_info": null
+    },
+    {
+      "name": "1.4 Institution Retention",
+      "used_range": "A1:N144",
+      "row_count": 144,
+      "col_count": 14,
+      "has_header": false,
+      "title_hint": "1.4 Institution Retention",
+      "header_info": null
+    },
+    {
+      "name": "1.5 Community Education",
+      "used_range": "A1:AR107",
+      "row_count": 107,
+      "col_count": 44,
+      "has_header": false,
+      "title_hint": "1.5 Community Education",
+      "header_info": null
+    },
+    {
+      "name": "2.1 Student Tuition & Costs",
+      "used_range": "A1:D53",
+      "row_count": 53,
+      "col_count": 4,
+      "has_header": true,
+      "title_hint": "2.1 Student Tuition & Costs",
+      "header_info": {
+        "sheet": "2.1 Student Tuition & Costs",
+        "header_row": 1,
+        "headers": {
+          "A": "Institution",
+          "C": "Oglala Lakota College"
+        }
+      }
+    },
+    {
+      "name": "3.1 Academic Building",
+      "used_range": "A1:Z114",
+      "row_count": 114,
+      "col_count": 26,
+      "has_header": false,
+      "title_hint": "3.1 Academic Building",
+      "header_info": null
+    },
+    {
+      "name": "3.2 Library Fac & Res Equipment",
+      "used_range": "A1:Z95",
+      "row_count": 95,
+      "col_count": 26,
+      "has_header": false,
+      "title_hint": "3.2 Library Fac & Res Equipment",
+      "header_info": null
+    },
+    {
+      "name": "3.3 Research Equipment",
+      "used_range": "A1:BZ151",
+      "row_count": 151,
+      "col_count": 78,
+      "has_header": false,
+      "title_hint": "3.3 Research Equipment",
+      "header_info": null
+    },
+    {
+      "name": "4.1 Majors",
+      "used_range": "A1:AY71",
+      "row_count": 71,
+      "col_count": 51,
+      "has_header": false,
+      "title_hint": "4.1 Majors",
+      "header_info": null
+    },
+    {
+      "name": "4.2(AC) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(AC) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(AG) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(AG) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(AL) Major Group Enroll-Grad",
+      "used_range": "A1:AL160",
+      "row_count": 160,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(AL) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(AS) Major Group Enroll-Grad",
+      "used_range": "A1:AL160",
+      "row_count": 160,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(AS) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(AR) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(AR) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(AU) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(AU) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(BT) Major Group Enroll-Grad",
+      "used_range": "A1:AL160",
+      "row_count": 160,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(BT) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(BU) Major Group Enroll-Grad",
+      "used_range": "A1:AL160",
+      "row_count": 160,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(BU) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(CH) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(CH) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(CS) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(CS) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(CT) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(CT) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(CL) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(CL) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(EA) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(EA) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(EO) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(EO) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(EN) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(EN) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(ES) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(ES) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(GE) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(GE) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(HC) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(HC) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(HI) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(HI) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(HS) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(HS) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(IP) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(IP) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(LA) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(LA) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(LS) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(LS) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(MA) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(MA) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(NS) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(NS) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(NU) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(NU) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(OA) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(OA) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(PA) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(PA) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(PE) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(PE) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(PV) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(PV) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(SC) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(SC) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(SS) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(SS) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(VC) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(VC) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(UK) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(UK) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(UN) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(UN) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2(MS) Major Group Enroll-Grad",
+      "used_range": "A1:AL157",
+      "row_count": 157,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2(MS) Major Group Enroll Grad",
+      "header_info": null
+    },
+    {
+      "name": "4.2 Major Group Totals",
+      "used_range": "A1:AL37",
+      "row_count": 37,
+      "col_count": 38,
+      "has_header": false,
+      "title_hint": "4.2 Major Group Totals",
+      "header_info": null
+    },
+    {
+      "name": "5.1 Academic Core Curriculum",
+      "used_range": "A1:AY74",
+      "row_count": 74,
+      "col_count": 51,
+      "has_header": false,
+      "title_hint": "5.1 Academic Core Curriculum",
+      "header_info": null
+    },
+    {
+      "name": "5.2 Acad Course Enroll & Comp",
+      "used_range": "A1:AQ102",
+      "row_count": 102,
+      "col_count": 43,
+      "has_header": false,
+      "title_hint": "5.2 Acad Course Enroll & Comp",
+      "header_info": null
+    },
+    {
+      "name": "5.3 Vocational Core Curriculum",
+      "used_range": "A1:U74",
+      "row_count": 74,
+      "col_count": 21,
+      "has_header": false,
+      "title_hint": "5.3 Vocational Core Curriculum",
+      "header_info": null
+    },
+    {
+      "name": "5.4 Voc Course Enroll & Comp",
+      "used_range": "A1:AG102",
+      "row_count": 102,
+      "col_count": 33,
+      "has_header": false,
+      "title_hint": "5.4 Voc Course Enroll & Comp",
+      "header_info": null
+    },
+    {
+      "name": "5.5 & 5.6 Remedial-Dev Courses",
+      "used_range": "A1:AI85",
+      "row_count": 85,
+      "col_count": 35,
+      "has_header": false,
+      "title_hint": "5.5 & 5.6 Remedial Dev Courses",
+      "header_info": null
+    },
+    {
+      "name": "5.7 Distance Learning",
+      "used_range": "A1:M70",
+      "row_count": 70,
+      "col_count": 13,
+      "has_header": false,
+      "title_hint": "5.7 Distance Learning",
+      "header_info": null
+    },
+    {
+      "name": "6.1 Student Research",
+      "used_range": "A1:C42",
+      "row_count": 42,
+      "col_count": 3,
+      "has_header": true,
+      "title_hint": "6.1 Student Research",
+      "header_info": {
+        "sheet": "6.1 Student Research",
+        "header_row": 1,
+        "headers": {
+          "A": "Institution",
+          "B": "Oglala Lakota College"
+        }
+      }
+    },
+    {
+      "name": "6.2 Student Comm Act",
+      "used_range": "A1:D23",
+      "row_count": 23,
+      "col_count": 4,
+      "has_header": true,
+      "title_hint": "6.2 Student Comm Act",
+      "header_info": {
+        "sheet": "6.2 Student Comm Act",
+        "header_row": 1,
+        "headers": {
+          "A": "Institution",
+          "C": "Oglala Lakota College"
+        }
+      }
+    },
+    {
+      "name": "6.3 TCU Community Partnerships",
+      "used_range": "A1:D20",
+      "row_count": 20,
+      "col_count": 4,
+      "has_header": true,
+      "title_hint": "6.3 TCU Community Partnerships",
+      "header_info": {
+        "sheet": "6.3 TCU Community Partnerships",
+        "header_row": 1,
+        "headers": {
+          "A": "Institution",
+          "C": "Oglala Lakota College"
+        }
+      }
+    },
+    {
+      "name": "7.1 Personnel Demographics",
+      "used_range": "A1:AM98",
+      "row_count": 98,
+      "col_count": 39,
+      "has_header": false,
+      "title_hint": "7.1 Personnel Demographics",
+      "header_info": null
+    },
+    {
+      "name": "7.2 Fac Prof Demographics",
+      "used_range": "A1:G128",
+      "row_count": 128,
+      "col_count": 7,
+      "has_header": false,
+      "title_hint": "7.2 Fac Prof Demographics",
+      "header_info": null
+    },
+    {
+      "name": "7.3 Fac Prof Dev Service",
+      "used_range": "A1:W99",
+      "row_count": 99,
+      "col_count": 23,
+      "has_header": false,
+      "title_hint": "7.3 Fac Prof Dev Service",
+      "header_info": null
+    },
+    {
+      "name": "7.4 Faculty Research",
+      "used_range": "A1:D35",
+      "row_count": 35,
+      "col_count": 4,
+      "has_header": true,
+      "title_hint": "7.4 Faculty Research",
+      "header_info": {
+        "sheet": "7.4 Faculty Research",
+        "header_row": 1,
+        "headers": {
+          "A": "Institution",
+          "B": "Oglala Lakota College"
+        }
+      }
+    },
+    {
+      "name": "8.1 Students with Disabilities ",
+      "used_range": "A1:I100",
+      "row_count": 100,
+      "col_count": 9,
+      "has_header": false,
+      "title_hint": "8.1 Students with Disabilities",
+      "header_info": null
+    },
+    {
+      "name": "MENU INFO",
+      "used_range": "A1:AD64",
+      "row_count": 64,
+      "col_count": 30,
+      "has_header": false,
+      "title_hint": "MENU INFO",
+      "header_info": null
+    }
+  ]
+}
\ No newline at end of file
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