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+    }
+  }
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00204/ground_truth_full.json

@@ -0,0 +1,434 @@
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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00204/ground_truth_target.json

@@ -0,0 +1,82 @@
+[
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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00204/nl_task.json

@@ -0,0 +1,26 @@
+{
+  "task_id": "cross_sheet__dag_91479627ebbb",
+  "prompt_en": "On sheet \"130055\", the FLIGHT LOG - N908DH record for GR-1040 INC is laid out with crew details like PIC, SIC, F/A, and flight-log columns such as LEG, DATE, B/P/C, PF, FROM, and PER DIEM. For this academic records update, please fill in the blank PER DIEM entries on that sheet, specifically in column V for rows 13 through 21 and row 25. Some of the nearby flight-log details belong together, so the related blank fields need to be in place before the PER DIEM column is fully meaningful. When you’re done, save the completed workbook as an .xlsx file.",
+  "prompt_cn": "在“130055”工作表中，FLIGHT LOG - N908DH 这份 GR-1040 INC 记录包含 PIC、SIC、F/A 等机组信息，以及 LEG、DATE、B/P/C、PF、FROM、PER DIEM 等飞行记录列。为了这次学籍记录更新，请补全该工作表中 PER DIEM 列的空白项，位置是 V 列第 13 到 21 行以及第 25 行。周围的一些飞行记录信息是相互关联的，因此相关空白字段需要先保持完整，PER DIEM 列才会有完整意义。完成后，请将工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt identifies the workbook context using visible labels, specifies the target PER DIEM cells by sheet, column, and rows, and mentions prerequisite blanks only in general terms without giving calculation or formula hints.",
+  "post_check_issues": [],
+  "prompt_mode": "minimal",
+  "hint_leakage": {
+    "score": 0,
+    "level": "low",
+    "max_possible": 100,
+    "dimensions": {
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+      "cell_range_density": 0,
+      "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": 22.5,
+  "attempt": 1
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00204/target_contract.json

@@ -0,0 +1,177 @@
+{
+  "task_id": "cross_sheet__dag_91479627ebbb",
+  "category": "cross_sheet",
+  "depth": 6,
+  "final_target": {
+    "regions": [
+      {
+        "sheet": "130055",
+        "column": "V",
+        "column_header": "PER DIEM",
+        "cell_range": "V13:V21, V25",
+        "cell_count": 10,
+        "rows": [
+          13,
+          14,
+          15,
+          16,
+          17,
+          18,
+          19,
+          20,
+          21,
+          25
+        ],
+        "first_row_label": "C",
+        "last_row_label": "Today"
+      }
+    ],
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+    "formula_families": [
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+          "last_row_label": ""
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+      "regions": [
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+          "column": "AA",
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+            19,
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+          "last_row_label": ""
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+    {
+      "layer": 4,
+      "regions": [
+        {
+          "sheet": "130054",
+          "column": "AA",
+          "column_header": "LDG",
+          "cell_range": "AA23",
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+          "first_row_label": "PST",
+          "last_row_label": ""
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+      ],
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+    {
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+      "regions": [
+        {
+          "sheet": "130055",
+          "column": "AA",
+          "column_header": "Dept Date:",
+          "cell_range": "AA9",
+          "cell_count": 1,
+          "rows": [
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+          ],
+          "first_row_label": "",
+          "last_row_label": ""
+        },
+        {
+          "sheet": "130055",
+          "column": "J",
+          "column_header": "LDG",
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+          "rows": [
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+            15,
+            16,
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+            18,
+            19,
+            20,
+            21
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+          "last_row_label": ""
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+    },
+    {
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+      "regions": [
+        {
+          "sheet": "130055",
+          "column": "U",
+          "column_header": "HOURS",
+          "cell_range": "U13, U15:U21, U25",
+          "cell_count": 9,
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+            15,
+            16,
+            17,
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+            19,
+            20,
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+          "first_row_label": "C",
+          "last_row_label": "Today"
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+      ],
+      "cell_count": 9
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+  ],
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+  "total_masked_cells": 48,
+  "ratio_total_vs_final": 4.8,
+  "sheets_involved": [
+    "130054",
+    "130055"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00267/audit.json

@@ -0,0 +1,422 @@
+{
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+    "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 13 cells"
+        },
+        {
+          "check": "header_grounding",
+          "pass": true,
+          "severity": "pass",
+          "detail": "1/1 final regions have column_header"
+        },
+        {
+          "check": "mask_consistency",
+          "pass": true,
+          "detail": "mask_last=177334B, src=212945B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=1.8 (total=24, final=13)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "17 unique values across 23 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: Historical Data (2)!U→V(1/2), Historical Data (2)!W→V(2/2), Historical Data (2)!V→W(2/2), Historical Data (2)!X→W(1/2), Historical Data (2)!W→X(1/2)"
+        },
+        {
+          "check": "header_name_accuracy",
+          "pass": true,
+          "detail": "clean"
+        },
+        {
+          "check": "duplicate_lookup_tie_break",
+          "pass": true,
+          "severity": null,
+          "detail": "13 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": []
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+            "missing_sheets": {
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+              "count": 0,
+              "sheets": []
+            },
+            "circular_refs": {
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+              "cycle_cells": []
+            }
+          }
+        },
+        {
+          "check": "uniqueness_deep",
+          "pass": true,
+          "severity": "ok",
+          "detail": "clean"
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+    "post_nl_validate": {
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+      "soft_warns": 2,
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+          "missing_ranges": [
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+            "X2:X3",
+            "Z2:Z3"
+          ],
+          "severity": "SOFT_WARN"
+        },
+        {
+          "check": "cell_count_match",
+          "pass": true,
+          "detail": "no explicit total found; skipping (natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "step_count_match",
+          "pass": true,
+          "detail": "contract=4, no explicit steps found (v5 natural format)",
+          "severity": "OK"
+        },
+        {
+          "check": "sheet_name_match",
+          "pass": true,
+          "detail": "contract=['Historical Data (2)'], 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 13 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 5 col groups; CONFLICTS: Historical Data (2)!Y5: visible='=TEXT(DATE(Y3,Y2,1),\"MMMM\")&\"_' vs GT pattern='=IF(W#=#,#,W#+#)'; Historical Data (2)!Z4: visible='=IF(Z2=AA2,_xlfn.MINIFS($A:$A,' vs GT pattern='=IF(Z#=#,X#+#,X#)'"
+        },
+        {
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+          "pass": false,
+          "detail": "GT funcs: ['DATE', 'IF', 'IFERROR', 'MATCH', 'VLOOKUP', 'XLFN.MAXIFS', 'XLFN.MINIFS']; MISMATCHES: GT uses VLOOKUP but NL doesn't mention any of: find, look up, lookup, match; 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 24 GT cells (0%)",
+          "severity": "OK"
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+    "pre_nl_local": {
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+      "local_label": "PENDING_NL",
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+      "block_reasons": [],
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+      "block_reasons": [],
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+          "count": 0,
+          "cells": []
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+          "count": 0,
+          "cells": []
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+          "cells": []
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+          "count": 0,
+          "sheets": []
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+        "circular_refs": {
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+          "cycle_cells": []
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+      },
+      "required_chain_scope": {
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+        "error_cells_in_other": 0,
+        "required_chain_cells": 24
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+      "total_masked": 24,
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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00267/ground_truth_full.json

@@ -0,0 +1,218 @@
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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00267/ground_truth_target.json

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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00267/mask_last.xlsx

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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00267/nl_task.json

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+  "task_id": "single_sheet__dag_283f051f528f",
+  "prompt_en": "The Historical Data (2) sheet is a finance table of adjusted closing prices, with Date entries and ticker columns such as GOOG, TSLA, and WMT, and it is being used for a fiscal year close-out review. Please complete the blank March_2020_V2 entries in column Y, rows 6 through 18. If any related blank monthly fields in the sheet are needed before those March_2020_V2 entries are meaningful, make sure they are filled in as part of the workbook completion. Save the completed file as an .xlsx workbook.",
+  "prompt_cn": "Historical Data (2) 工作表是一张财务类的调整后收盘价历史数据表，包含 Date，以及 GOOG、TSLA、WMT 等股票代码列，目前用于财政年度收尾复核。请补全 Y 列 March_2020_V2 中第 6 行到第 18 行的空白项。如果表中有相关的月度空白字段需要先补齐，才能让 March_2020_V2 的内容完整成立，也请在完成工作簿时一并处理。请将完成后的文件保存为 .xlsx 工作簿。",
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+  "prompt_mode": "minimal",
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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00267/release_qc.json

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+{
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+  "binary_reason": "CORRECT: the masked cells are real and cleanly bounded, GT is consistent, and the visible workbook gives enough structural evidence to reconstruct the chain.",
+  "D1": {
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+    "reason": "All 24 contract cells are truly masked and there are no extra masked cells or phantom ranges. The masked cells are within the sheet's actual dimensions. Although adjacent columns expose similar formulas, the task is not merely zero-reasoning copy-fill because the solver must also reconstruct the masked month/year/date dependency chain feeding Y4 and then Y6:Y18."
+  },
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+    "reason": "The layer-1 GT formulas are consistent with the surrounding source pattern: each Y row performs an IFERROR-wrapped VLOOKUP using Y$4 as the date key and MATCH on the ticker in column Q. Cached values appear consistent with this lookup design and the formulas are deterministic."
+  },
+  "D3": {
+    "score": 4,
+    "reason": "The NL clearly identifies the final target as March_2020_V2 entries in column Y rows 6 through 18 and notes that related blank monthly fields may need completion. It is understandable, though it does not explicitly enumerate the prerequisite cells or formula patterns."
+  },
+  "D4": {
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+    "reason": "Using only mask_last.xlsx and the prompt, the chain is reconstructible. Visible headers show the monthly V1/V2 sequence, with T/U and AA/AB anchoring the month/year values. Visible formulas to the right expose the month/year recurrence pattern, visible row-4 formulas expose the MINIFS/MAXIFS date-boundary pattern, and adjacent data rows expose the VLOOKUP/MATCH pattern needed for Y6:Y18. No hidden constants or unexplained external references are required.",
+    "d4_type": "ok"
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+  "D5": {
+    "score": 5,
+    "reason": "The source spreadsheet appears structurally sound for this task: formulas are coherent, headers are meaningful and consistent, no circular or broken dependency issues are indicated, and the finance/date lookup table design is internally consistent."
+  },
+  "D6": {
+    "score": 5,
+    "reason": "The NL request sounds like a plausible workplace finance-review instruction and avoids benchmark-specific jargon."
+  },
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+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality chain-masking task: clean mask boundary, valid GT, sufficient visible evidence, and natural prompt. Minor NL vagueness about prerequisites is acceptable and intentional for the chain design.",
+  "frontier_hardness": {
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+    "reason": "The task has a multi-step dependency chain and several formula patterns, but the visible exemplars and headers provide enough evidence. A frontier model may need careful sequential reasoning, but there are no hidden constants, cross-sheet hops, or fundamentally ambiguous rules.",
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+  "_timing_context": 0.05,
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+    "difficulty": "hard",
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+    "is_cross_sheet": false,
+    "unique_patterns": 12,
+    "avg_complexity": 18,
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+  "elapsed": 37.4,
+  "publish_decision": "YES",
+  "release_tier": "GOLD",
+  "hard_block_reasons": []
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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00267/target_contract.json

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+      "cell_count": 1
+    }
+  ],
+  "total_prerequisite_cells": 11,
+  "total_masked_cells": 24,
+  "ratio_total_vs_final": 1.8,
+  "sheets_involved": [
+    "Historical Data (2)"
+  ]
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00267/task_meta.json

@@ -0,0 +1,37 @@
+{
+  "fcb_id": "FCB-00267",
+  "task_id": "single_sheet__dag_283f051f528f",
+  "tier": "T1_FRONTIER",
+  "category": "single_sheet",
+  "depth": 5,
+  "total_masked": 24,
+  "is_cross_sheet": false,
+  "prompt_en": "The Historical Data (2) sheet is a finance table of adjusted closing prices, with Date entries and ticker columns such as GOOG, TSLA, and WMT, and it is being used for a fiscal year close-out review. Please complete the blank March_2020_V2 entries in column Y, rows 6 through 18. If any related blank monthly fields in the sheet are needed before those March_2020_V2 entries are meaningful, make sure they are filled in as part of the workbook completion. Save the completed file as an .xlsx workbook.",
+  "prompt_cn": "Historical Data (2) 工作表是一张财务类的调整后收盘价历史数据表，包含 Date，以及 GOOG、TSLA、WMT 等股票代码列，目前用于财政年度收尾复核。请补全 Y 列 March_2020_V2 中第 6 行到第 18 行的空白项。如果表中有相关的月度空白字段需要先补齐，才能让 March_2020_V2 的内容完整成立，也请在完成工作簿时一并处理。请将完成后的文件保存为 .xlsx 工作簿。",
+  "qc": {
+    "total": 29,
+    "verdict": "RELEASE",
+    "D1": 5,
+    "D2": 5,
+    "D3": 4,
+    "D4": 5,
+    "D5": 5,
+    "D6": 5,
+    "frontier_hardness": 3,
+    "local_difficulty": 72.3
+  },
+  "source_file_id": "840795d1692988889-calculating-periodic-performance-for-financial-portfolio-in-excel-2019-mac-sample-spreadsheet-copy",
+  "inferred_domain": "finance",
+  "domain_confidence": 0.25,
+  "sheet_profiles": [
+    {
+      "name": "Historical Data (2)",
+      "used_range": "A1:DU916",
+      "row_count": 916,
+      "col_count": 125,
+      "has_header": false,
+      "title_hint": "Historical Data (2)",
+      "header_info": null
+    }
+  ]
+}

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00273/audit.json

@@ -0,0 +1,440 @@
+{
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+      "hard_fails": 0,
+      "warns": 0,
+      "checks": [
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+          "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=276313B, src=416707B"
+        },
+        {
+          "check": "dirty_family",
+          "pass": true,
+          "detail": "0 dirty cells"
+        },
+        {
+          "check": "ratio_gate",
+          "pass": true,
+          "detail": "ratio=4.2 (total=42, final=10)"
+        },
+        {
+          "check": "dedup_gate",
+          "pass": true,
+          "detail": "0 duplicate cells across layers"
+        },
+        {
+          "check": "gt_uniqueness",
+          "pass": true,
+          "detail": "41 unique values across 42 cells"
+        },
+        {
+          "check": "tail_artifact",
+          "pass": true,
+          "detail": "0 bad values"
+        },
+        {
+          "check": "unrecoverable_leaf",
+          "pass": true,
+          "detail": "clean",
+          "hidden_const_cells": []
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+        {
+          "check": "adjacent_column_leak",
+          "pass": true,
+          "detail": "clean"
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+        {
+          "check": "header_name_accuracy",
+          "pass": true,
+          "detail": "clean"
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+        {
+          "check": "duplicate_lookup_tie_break",
+          "pass": true,
+          "detail": "no lookup formulas"
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+        {
+          "check": "src_chain_integrity",
+          "pass": true,
+          "severity": "ok",
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+              "cells": []
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+        {
+          "check": "final_target_first",
+          "pass": true,
+          "detail": "no explicit final target marker (natural format)",
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+        {
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+          "detail": "output format found",
+          "severity": "OK"
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+          "detail": "no column headers found in prompt",
+          "severity": "OK"
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+        {
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+          "detail": "clean",
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+        {
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+          "detail": "no cross-sheet refs in GT",
+          "severity": "OK"
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+          "check": "exemplar_consistency",
+          "pass": true,
+          "severity": "OK",
+          "detail": "checked 5 col groups; CONFLICTS: A!E5: visible='=D5' vs GT pattern='=I#/#'; A!E6: visible='=S58' vs GT pattern='=I#/#'"
+        },
+        {
+          "check": "nl_gt_operation_consistency",
+          "pass": true,
+          "detail": "GT funcs: []",
+          "severity": "OK"
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+          "detail": "no default-rule phrase found in NL",
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+          "detail": "volatile_cells=0",
+          "severity": "OK"
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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00273/ground_truth_full.json

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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00273/ground_truth_target.json

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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00273/layers.json

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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00273/mask_last.xlsx

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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00273/nl_task.json

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+  "task_id": "single_sheet__dag_efbca7f9bcc7",
+  "prompt_en": "Sheet A is a finance schedule for the budget review, with rows organized around labels such as TSA No., TSA, FTE, Monthly Salary, Salary Costs, #N/A, and Premises. The blank entries I need filled are in the Monthly Salary column for rows 66 through 75, specifically E66:E75. Please complete those Monthly Salary cells so the salary section is consistent with the surrounding TSA and FTE information; the monthly salary figures need to be in place before the related salary-cost lines make sense. When you’re done, save the completed workbook as an .xlsx file.",
+  "prompt_cn": "A 工作表是一张用于预算审查的财务表，行内容围绕 TSA No.、TSA、FTE、Monthly Salary、Salary Costs、#N/A 和 Premises 等标签整理。需要补上的空白项在 Monthly Salary 列的第 66 到 75 行，也就是 E66:E75。请把这些 Monthly Salary 单元格填写完整，使薪资部分与周围的 TSA 和 FTE 信息保持一致；这些月薪数据先补齐后，相关的 Salary Costs 行才会完整清楚。完成后，请将工作簿保存为 .xlsx 文件。",
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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00273/release_qc.json

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+  "binary_reason": "CORRECT: clean chain mask, valid formulas, and sufficient visible structural evidence to reconstruct the salary chain.",
+  "D1": {
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+    "reason": "All masked cells are within the real sheet range and the mask boundary is clean: 42 contract cells truly masked, none unmasked, and no extra masked cells. The formula-cache-missing entries are correctly an openpyxl artifact and not additional masking. Visible formulas in adjacent columns provide structural clues, but the task is not trivially copyable because the solver must infer the monthly-to-yearly conversion and chained annual escalation across F:I before filling E."
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+    "reason": "The ground-truth layer-1 formulas are consistent with the source workbook: E66:E75 use =Irow/12, matching the monthly salary for 2014 derived from the yearly salary column. Cached values are consistent, including rows 70 and 72 where blank yearly salary inputs produce 0 through the formula. The formulas are deterministic and contain no ambiguous or volatile elements."
+  },
+  "D3": {
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+    "reason": "The NL prompt clearly identifies the final target range E66:E75 and the Monthly Salary column. It is understandable and contextually appropriate, but it does not explicitly mention that the visible blank yearly-salary prerequisite cells must also be reconstructed as part of the dependency chain, so there is a minor clarity gap."
+  },
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+    "reason": "Using only mask_last.xlsx and the prompt, the chain is reconstructible. The solver can see Monthly Salary headers for B:E, Yearly Salary headers for F onward, year labels, base monthly salary values in B, annual uplift rates in row 64, visible monthly formulas in C and D referencing yearly salary columns, and visible yearly escalation formulas from J onward referencing I and the annual rate. These provide root evidence for E=I/12, I=H*(1+I64), H=G*(1+H64), G=F*(1+G64), and F=B*12. Rows with blank B values also visibly correspond to blank yearly salary rows, making the zero monthly results inferable.",
+    "d4_type": "ok"
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+    "reason": "The source spreadsheet data appears sound. The salary section has coherent headers, consistent year alignment, consistent monthly/yearly formulas, and annual escalation formulas using visible rate cells. Blank rows such as 70 and 72 appear intentional rather than corrupt. No circular references, broken formulas, external references, or corrupted values are indicated."
+  },
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+    "reason": "The NL description sounds like a plausible workplace request for completing a finance schedule. It avoids benchmark jargon, names the relevant business context, and asks for the workbook to be saved as an .xlsx file."
+  },
+  "total": 29,
+  "verdict": "RELEASE",
+  "verdict_reason": "High-quality task: clean masking, correct ground truth, and enough visible evidence for a hard but fair dependency-chain reconstruction. Minor issue is that the prompt names only the final Monthly Salary cells, but that is acceptable under the chain-masking benchmark design.",
+  "frontier_hardness": {
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+    "reason": "This is medium-to-hard because it requires reconstructing a five-layer single-sheet dependency chain across monthly and yearly salary columns, including annual escalation. However, the formulas are simple, all constants and structural clues are visible, and there are no hidden rules or cross-sheet dependencies, so a frontier model would likely have a reasonable chance of solving it.",
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+}

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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00273/target_contract.json

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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00273/task_meta.json

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+  "task_id": "single_sheet__dag_efbca7f9bcc7",
+  "tier": "T1_FRONTIER",
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+  "prompt_en": "Sheet A is a finance schedule for the budget review, with rows organized around labels such as TSA No., TSA, FTE, Monthly Salary, Salary Costs, #N/A, and Premises. The blank entries I need filled are in the Monthly Salary column for rows 66 through 75, specifically E66:E75. Please complete those Monthly Salary cells so the salary section is consistent with the surrounding TSA and FTE information; the monthly salary figures need to be in place before the related salary-cost lines make sense. When you’re done, save the completed workbook as an .xlsx file.",
+  "prompt_cn": "A 工作表是一张用于预算审查的财务表，行内容围绕 TSA No.、TSA、FTE、Monthly Salary、Salary Costs、#N/A 和 Premises 等标签整理。需要补上的空白项在 Monthly Salary 列的第 66 到 75 行，也就是 E66:E75。请把这些 Monthly Salary 单元格填写完整，使薪资部分与周围的 TSA 和 FTE 信息保持一致；这些月薪数据先补齐后，相关的 Salary Costs 行才会完整清楚。完成后，请将工作簿保存为 .xlsx 文件。",
+  "qc": {
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+    "verdict": "RELEASE",
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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00282/layers.json

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+  "task_id": "cross_sheet__dag_66fb9ec9e9c2",
+  "prompt_en": "The Indvl Stmnts sheet is part of our finance workbook for month-by-month apartment maintenance tracking, with related fields such as Month & Year, Total Expenses During The Month, and Maint Individual Share. For the fiscal year close-out review, please fill in the blank entries in the Maint Due For The Month column on Indvl Stmnts, specifically CL4:CL76. The workbook also includes transaction-level details like Month, Trxn Type, For Unit, Transaction Details, Paid By, Transaction Category, Transaction Mode, and Transaction Detail, so the monthly figures need to be in place before the individual statement amounts make sense. Please save the completed workbook as an .xlsx file.",
+  "prompt_cn": "Indvl Stmnts 工作表是我们按月跟踪公寓维修费的财务工作簿的一部分，里面有 Month & Year、Total Expenses During The Month 和 Maint Individual Share 等相关字段。为了做财政年度收尾复核，请把 Indvl Stmnts 中 Maint Due For The Month 这一列的空白项补完整，位置是 CL4:CL76。工作簿里还包含 Month、Trxn Type、For Unit、Transaction Details、Paid By、Transaction Category、Transaction Mode 和 Transaction Detail 等交易明细，所以相关月份数据需要先就位，个人账单金额才会完整。请将完成后的工作簿保存为 .xlsx 文件。",
+  "quality_notes": "The prompt identifies the finance maintenance-statement context, names the target sheet and column with the requested range, and mentions the natural prerequisite context without giving calculation or formula hints.",
+  "post_check_issues": [],
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+  "attempt": 1
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