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FormulaCascade_Benchmark

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  1. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02101/audit.json +420 -0
  2. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02101/ground_truth_full.json +623 -0
  3. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02101/ground_truth_target.json +482 -0
  4. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02101/mask_last.xlsx +0 -0
  5. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02101/nl_task.json +26 -0
  6. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02101/release_qc.json +58 -0
  7. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02101/target_contract.json +118 -0
  8. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02101/task_meta.json +37 -0
  9. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02103/audit.json +408 -0
  10. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02103/ground_truth_full.json +3116 -0
  11. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02103/ground_truth_target.json +2746 -0
  12. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02103/layers.json +439 -0
  13. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02103/nl_task.json +26 -0
  14. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02103/release_qc.json +58 -0
  15. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02103/target_contract.json +417 -0
  16. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02103/task_meta.json +37 -0
  17. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02171/audit.json +407 -0
  18. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02171/ground_truth_full.json +164 -0
  19. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02171/ground_truth_target.json +74 -0
  20. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02171/layers.json +85 -0
  21. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02171/mask_last.xlsx +0 -0
  22. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02171/nl_task.json +26 -0
  23. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02171/release_qc.json +58 -0
  24. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02171/src.xlsx +0 -0
  25. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02171/target_contract.json +67 -0
  26. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02171/task_meta.json +46 -0
  27. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02246/audit.json +412 -0
  28. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02246/ground_truth_full.json +245 -0
  29. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02246/ground_truth_target.json +74 -0
  30. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02246/layers.json +106 -0
  31. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02246/mask_last.xlsx +0 -0
  32. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02246/nl_task.json +26 -0
  33. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02246/release_qc.json +58 -0
  34. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02246/src.xlsx +0 -0
  35. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02246/target_contract.json +87 -0
  36. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02246/task_meta.json +37 -0
  37. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02277/audit.json +598 -0
  38. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02277/ground_truth_full.json +1307 -0
  39. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02277/ground_truth_target.json +458 -0
  40. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02277/layers.json +210 -0
  41. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02277/nl_task.json +26 -0
  42. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02277/release_qc.json +58 -0
  43. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02277/target_contract.json +194 -0
  44. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02277/task_meta.json +46 -0
  45. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02297/src.xlsx +0 -0
  46. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02651/audit.json +411 -0
  47. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02651/ground_truth_full.json +128 -0
  48. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02651/ground_truth_target.json +58 -0
  49. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02651/layers.json +163 -0
  50. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02651/mask_last.xlsx +0 -0
FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02101/audit.json ADDED
@@ -0,0 +1,420 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ "detail": "mask_last=10331B, src=15582B"
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+ "detail": "69 unique values across 69 cells"
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+ "pass": true,
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+ "detail": "no lookup formulas"
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+ },
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+ "check": "cell_count_match",
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+ "pass": true,
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+ "check": "direct_answer_leakage",
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+ "prompt_en": "On the JonMckay-Mon10 sheet, this workbook looks like a running log or training estimate page, with visible labels such as 10k PR, Set 2 years ago, Age, Resting HR, estimate, and the note about having no problems and increasing the mileage. The Date column is missing entries in several blocks of the log, and those dates anchor the related rows before the rest of the row information is meaningful.\n\nPlease fill in the blank Date cells on JonMckay-Mon10 in column B: B16:B21, B29:B34, B40:B45, B52:B57, B64:B69, B76:B81, B87:B92, B98:B103, B111:B116, and B122:B127. When you’re done, save the completed file as an .xlsx file.",
4
+ "prompt_cn": "在 JonMckay-Mon10 工作表中，这份工作簿看起来像是一份跑步日志或训练估算页面，里面能看到 10k PR、Set 2 years ago、Age、Resting HR、estimate，以及关于没有问题并增加里程的说明。Date 列有几段日志的日期缺失，而这些日期是对应行内容成立的基础，日期补齐后相关行的信息才完整。\n\n请补全 JonMckay-Mon10 工作表 B 列 Date 中的空白单元格：B16:B21、B29:B34、B40:B45、B52:B57、B64:B69、B76:B81、B87:B92、B98:B103、B111:B116 和 B122:B127。完成后，请将文件保存为 .xlsx 格式。",
5
+ "quality_notes": "The prompt frames the workbook using only visible sheet names and labels, identifies the Date column and exact ranges to fill, mentions the natural row-level dependency without explaining any method, and avoids formulas or operational hints.",
6
+ "post_check_issues": [],
7
+ "prompt_mode": "minimal",
8
+ "hint_leakage": {
9
+ "score": 25,
10
+ "level": "medium",
11
+ "max_possible": 100,
12
+ "dimensions": {
13
+ "operation_words": 0,
14
+ "cell_range_density": 25,
15
+ "step_by_step": 0,
16
+ "column_operation_mapping": 0,
17
+ "formula_pattern_hints": 0
18
+ },
19
+ "operation_words_found": [],
20
+ "cell_ranges_found": 10
21
+ },
22
+ "version": "v7",
23
+ "model": "gpt-5.5",
24
+ "elapsed": 15.6,
25
+ "attempt": 1
26
+ }
FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02101/release_qc.json ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "binary": true,
3
+ "binary_reason": "CORRECT: the mask is clean, cells are real, GT formulas are consistent, and the Date sequence is reconstructible from visible day/week structure and the visible seed date.",
4
+ "D1": {
5
+ "score": 5,
6
+ "reason": "All 69 contract cells are truly masked, there are no extra masked cells, and all referenced cells are within the 130-row sheet range. The mask boundary is clean. There is no trivial visible same-column formula copy leakage; the solver must infer the date chain from structure rather than simply copying formulas."
7
+ },
8
+ "D2": {
9
+ "score": 5,
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+ "reason": "The layer-1 GT formulas follow the deterministic pattern of each date being one day after the previous row in the same block, e.g. B16=1+B15, B17=1+B16, etc. The cached values shown are consistent with those formulas and with the visible date chronology anchored at B121."
11
+ },
12
+ "D3": {
13
+ "score": 5,
14
+ "reason": "The NL description clearly identifies the sheet, the Date column, and the exact final target ranges to fill. It is understandable and unambiguous for the requested final cells."
15
+ },
16
+ "D4": {
17
+ "score": 4,
18
+ "reason": "Using only mask_last.xlsx and the NL prompt, the task is solvable. The visible seed date B121=2001-04-10, the visible Day column Tue-Mon pattern, and the visible week/block layout provide enough evidence to reconstruct the missing Date values upward through the weekly running-log blocks. The only minor gap is that prerequisite anchor dates such as B110, B97, etc. are also blank and not explicitly requested in the NL, so the solver must infer that these Tuesday anchors continue the weekly sequence before filling the listed cells.",
19
+ "d4_type": "ok"
20
+ },
21
+ "D5": {
22
+ "score": 5,
23
+ "reason": "The source sheet appears structurally sound: formulas are deterministic, no circular or broken references are indicated, headers and repeated weekly blocks are meaningful, and the date/cached-value chronology is coherent."
24
+ },
25
+ "D6": {
26
+ "score": 5,
27
+ "reason": "The prompt sounds like a natural spreadsheet completion request and avoids benchmark-specific jargon. It gives contextual framing and a practical instruction to fill the missing Date cells."
28
+ },
29
+ "total": 29,
30
+ "verdict": "RELEASE",
31
+ "verdict_reason": "High-quality task. The masking is clean, GT is correct, and the evidence in the visible workbook is sufficient to reconstruct the date chain. Minor added reasoning is needed for the masked anchor dates, but this is consistent with the chain-masking design.",
32
+ "frontier_hardness": {
33
+ "score": 2,
34
+ "reason": "This is easy for a frontier model: there is one simple date-increment pattern, no cross-sheet reasoning, no hidden constants beyond the visible seed date, and the Day column/week structure strongly constrains the answer.",
35
+ "fail_reason": "easy",
36
+ "is_valid_hardness": false
37
+ },
38
+ "_prompt_chars": 74820,
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+ "_timing_load_workbooks": 0.03,
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+ "depth": 2,
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+ "total_masked": 69,
47
+ "is_cross_sheet": false,
48
+ "unique_patterns": 1,
49
+ "avg_complexity": 3,
50
+ "cross_refs": 0,
51
+ "visible_exemplar_ratio": 0.277
52
+ },
53
+ "task_id": "single_sheet__dag_4bb26e0e64d1",
54
+ "elapsed": 75.7,
55
+ "publish_decision": "YES",
56
+ "release_tier": "GOLD",
57
+ "hard_block_reasons": []
58
+ }
FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02101/target_contract.json ADDED
@@ -0,0 +1,118 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ "final_target": {
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+ "regions": [
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+ {
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+ "sheet": "JonMckay-Mon10",
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+ "column": "B",
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+ "column_header": "Date",
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+ "first_row_label": "Wed",
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+ "last_row_label": "Mon"
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+ "cell_count": 60,
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+ "formula_families": [
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+ "prerequisite_steps": [
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+ "layer": 2,
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+ {
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+ "sheet": "JonMckay-Mon10",
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+ "first_row_label": "Phase",
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+ "cell_count": 9
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+ }
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115
+ "sheets_involved": [
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+ "JonMckay-Mon10"
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+ ]
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+ }
FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02101/task_meta.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "fcb_id": "FCB-02101",
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+ "task_id": "single_sheet__dag_4bb26e0e64d1",
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+ "tier": "T3_MEDIUM",
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+ "category": "single_sheet",
6
+ "depth": 2,
7
+ "total_masked": 69,
8
+ "is_cross_sheet": false,
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+ "prompt_en": "On the JonMckay-Mon10 sheet, this workbook looks like a running log or training estimate page, with visible labels such as 10k PR, Set 2 years ago, Age, Resting HR, estimate, and the note about having no problems and increasing the mileage. The Date column is missing entries in several blocks of the log, and those dates anchor the related rows before the rest of the row information is meaningful.\n\nPlease fill in the blank Date cells on JonMckay-Mon10 in column B: B16:B21, B29:B34, B40:B45, B52:B57, B64:B69, B76:B81, B87:B92, B98:B103, B111:B116, and B122:B127. When you’re done, save the completed file as an .xlsx file.",
10
+ "prompt_cn": "在 JonMckay-Mon10 工作表中，这份工作簿看起来像是一份跑步日志或训练估算页面，里面能看到 10k PR、Set 2 years ago、Age、Resting HR、estimate，以及关于没有问题并增加里程的说明。Date 列有几段日志的日期缺失，而这些日期是对应行内容成立的基础，日期补齐后相关行的信息才完整。\n\n请补全 JonMckay-Mon10 工作表 B 列 Date 中的空白单元格：B16:B21、B29:B34、B40:B45、B52:B57、B64:B69、B76:B81、B87:B92、B98:B103、B111:B116 和 B122:B127。完成后，请将文件保存为 .xlsx 格式。",
11
+ "qc": {
12
+ "total": 29,
13
+ "verdict": "RELEASE",
14
+ "D1": 5,
15
+ "D2": 5,
16
+ "D3": 5,
17
+ "D4": 4,
18
+ "D5": 5,
19
+ "D6": 5,
20
+ "frontier_hardness": 2,
21
+ "local_difficulty": 33.9
22
+ },
23
+ "source_file_id": "jonathan_mckay__17194__JonMCKAY061101",
24
+ "inferred_domain": "general",
25
+ "domain_confidence": 0.0,
26
+ "sheet_profiles": [
27
+ {
28
+ "name": "JonMckay-Mon10",
29
+ "used_range": "A1:G130",
30
+ "row_count": 130,
31
+ "col_count": 7,
32
+ "has_header": false,
33
+ "title_hint": "JonMckay Mon10",
34
+ "header_info": null
35
+ }
36
+ ]
37
+ }
FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02103/audit.json ADDED
@@ -0,0 +1,408 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "gate": {
3
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6
+ "hard_fails": 0,
7
+ "warns": 0,
8
+ "checks": [
9
+ {
10
+ "check": "final_target_gate",
11
+ "pass": true,
12
+ "detail": "final_target has 343 cells"
13
+ },
14
+ {
15
+ "check": "header_grounding",
16
+ "pass": true,
17
+ "severity": "pass",
18
+ "detail": "1/1 final regions have column_header"
19
+ },
20
+ {
21
+ "check": "mask_consistency",
22
+ "pass": true,
23
+ "detail": "mask_last=128981B, src=129733B"
24
+ },
25
+ {
26
+ "check": "dirty_family",
27
+ "pass": true,
28
+ "detail": "0 dirty cells"
29
+ },
30
+ {
31
+ "check": "ratio_gate",
32
+ "pass": true,
33
+ "detail": "ratio=1.0 (total=346, final=343)"
34
+ },
35
+ {
36
+ "check": "dedup_gate",
37
+ "pass": true,
38
+ "detail": "0 duplicate cells across layers"
39
+ },
40
+ {
41
+ "check": "gt_uniqueness",
42
+ "pass": true,
43
+ "detail": "29 unique values across 346 cells"
44
+ },
45
+ {
46
+ "check": "tail_artifact",
47
+ "pass": true,
48
+ "detail": "0 bad values"
49
+ },
50
+ {
51
+ "check": "unrecoverable_leaf",
52
+ "pass": true,
53
+ "detail": "clean",
54
+ "hidden_const_cells": []
55
+ },
56
+ {
57
+ "check": "adjacent_column_leak",
58
+ "pass": true,
59
+ "detail": "clean"
60
+ },
61
+ {
62
+ "check": "header_name_accuracy",
63
+ "pass": true,
64
+ "detail": "clean"
65
+ },
66
+ {
67
+ "check": "duplicate_lookup_tie_break",
68
+ "pass": true,
69
+ "detail": "no lookup formulas"
70
+ },
71
+ {
72
+ "check": "src_chain_integrity",
73
+ "pass": true,
74
+ "severity": "ok",
75
+ "detail": "clean",
76
+ "sub_checks": {
77
+ "error_cells": {
78
+ "pass": true,
79
+ "count": 0,
80
+ "cells": []
81
+ },
82
+ "external_refs": {
83
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84
+ "count": 0,
85
+ "cells": []
86
+ },
87
+ "volatile_funcs": {
88
+ "pass": true,
89
+ "count": 0,
90
+ "cells": []
91
+ },
92
+ "missing_sheets": {
93
+ "pass": true,
94
+ "count": 0,
95
+ "sheets": []
96
+ },
97
+ "circular_refs": {
98
+ "pass": true,
99
+ "cycle_cells": []
100
+ }
101
+ }
102
+ },
103
+ {
104
+ "check": "uniqueness_deep",
105
+ "pass": true,
106
+ "severity": "ok",
107
+ "detail": "clean"
108
+ }
109
+ ]
110
+ },
111
+ "post_nl_validate": {
112
+ "validate_label": "CLEAN",
113
+ "validate_pass": true,
114
+ "hard_fails": 0,
115
+ "soft_warns": 0,
116
+ "checks": [
117
+ {
118
+ "check": "cell_range_match",
119
+ "pass": true,
120
+ "detail": "contract=4, prompt=1, missing=0",
121
+ "missing_ranges": [],
122
+ "severity": "OK"
123
+ },
124
+ {
125
+ "check": "cell_count_match",
126
+ "pass": true,
127
+ "detail": "no explicit total found; skipping (natural format)",
128
+ "severity": "OK"
129
+ },
130
+ {
131
+ "check": "step_count_match",
132
+ "pass": true,
133
+ "detail": "contract=1, no explicit steps found (v5 natural format)",
134
+ "severity": "OK"
135
+ },
136
+ {
137
+ "check": "sheet_name_match",
138
+ "pass": true,
139
+ "detail": "contract=['Sheet1'], missing=[]",
140
+ "severity": "OK"
141
+ },
142
+ {
143
+ "check": "no_formula_leak",
144
+ "pass": true,
145
+ "detail": "0 formula leaks",
146
+ "severity": "OK"
147
+ },
148
+ {
149
+ "check": "no_value_leak",
150
+ "pass": true,
151
+ "detail": "0 value leaks out of 343 GT cells",
152
+ "severity": "OK"
153
+ },
154
+ {
155
+ "check": "final_target_first",
156
+ "pass": true,
157
+ "detail": "no explicit final target marker (natural format)",
158
+ "severity": "OK"
159
+ },
160
+ {
161
+ "check": "output_format",
162
+ "pass": true,
163
+ "detail": "output format found",
164
+ "severity": "OK"
165
+ },
166
+ {
167
+ "check": "header_in_prompt",
168
+ "pass": true,
169
+ "detail": "no column headers found in prompt",
170
+ "severity": "OK"
171
+ },
172
+ {
173
+ "check": "hint_specificity",
174
+ "pass": true,
175
+ "detail": "clean",
176
+ "severity": "OK"
177
+ },
178
+ {
179
+ "check": "evidence_scope",
180
+ "pass": true,
181
+ "detail": "no cross-sheet refs in GT",
182
+ "severity": "OK"
183
+ },
184
+ {
185
+ "check": "exemplar_consistency",
186
+ "pass": true,
187
+ "severity": "OK",
188
+ "detail": "checked 4 col groups; CONFLICTS: Sheet1!Y2: visible='=K2' vs GT pattern='=SUM(Y#:Y#)'; Sheet1!AM2: visible='=K2' vs GT pattern='=SUM(AM#:AM#)'"
189
+ },
190
+ {
191
+ "check": "nl_gt_operation_consistency",
192
+ "pass": true,
193
+ "detail": "GT funcs: ['SUM']",
194
+ "severity": "OK"
195
+ },
196
+ {
197
+ "check": "unmatched_default_rule",
198
+ "pass": true,
199
+ "detail": "no default-rule phrase found in NL",
200
+ "severity": "OK"
201
+ },
202
+ {
203
+ "check": "volatile_function_freeze",
204
+ "pass": true,
205
+ "detail": "volatile_cells=0",
206
+ "severity": "OK"
207
+ },
208
+ {
209
+ "check": "direct_answer_leakage",
210
+ "pass": true,
211
+ "detail": "0 leaks out of 346 GT cells (0%)",
212
+ "severity": "OK"
213
+ }
214
+ ]
215
+ },
216
+ "pre_nl_local": {
217
+ "local_total": 58,
218
+ "local_label": "PENDING_NL",
219
+ "hard_fail_flags": [],
220
+ "warnings": [
221
+ "release_verdict_not_keep",
222
+ "nl_missing"
223
+ ],
224
+ "local_subscores": {
225
+ "family_clean": 25,
226
+ "target_integrity": 15,
227
+ "taxonomy": 10,
228
+ "semantic_signal": 8,
229
+ "nl_schema": 0,
230
+ "target_alignment": 0,
231
+ "business_specificity": 0,
232
+ "nl_risk": 0
233
+ }
234
+ }
235
+ },
236
+ "verify": {
237
+ "uniqueness": {
238
+ "total_gt_cells": 346,
239
+ "total_non_none": 346,
240
+ "block_reasons": [],
241
+ "warnings": [],
242
+ "checks": {
243
+ "rank_tie_risk": {
244
+ "rank_cells": 0,
245
+ "tie_issues": 0,
246
+ "details": []
247
+ },
248
+ "trivial_gt": {
249
+ "issues": []
250
+ },
251
+ "gt_type_consistency": {
252
+ "types": {
253
+ "int": 346
254
+ },
255
+ "mixed": false
256
+ },
257
+ "empty_gt": {
258
+ "count": 0,
259
+ "details": []
260
+ }
261
+ }
262
+ },
263
+ "src_chain": {
264
+ "hard_block": false,
265
+ "block_reasons": [],
266
+ "checks": {
267
+ "error_cells": {
268
+ "pass": true,
269
+ "count": 0,
270
+ "cells": []
271
+ },
272
+ "external_refs": {
273
+ "pass": true,
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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02103/nl_task.json ADDED
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+ "prompt_en": "Sheet1 is a district-level table titled “2010-11 Iowa Public School Unilateral Removals by District, All Removal Types,” with identifying columns such as County, AEA, District, and District Name. Please complete the blank entries in the “Fighting w/ Injury” column, located in K3:K345, for each district row. Some of the blank removal-type columns in the sheet relate to later fields, so the individual category figures need to be in place before the rest of the row is fully meaningful. When you’re done, please save the completed workbook as an .xlsx file.",
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+ "prompt_cn": "Sheet1 是一张按学区列出的表，标题为“2010-11 Iowa Public School Unilateral Removals by District, All Removal Types”，其中包含 County、AEA、District 和 District Name 等识别信息列。请补全“Fighting w/ Injury”列中的空白项，位置是 K3:K345，对应每一行学区记录。表中有些空白的移除类型列会与后面的字段相关，因此各个类别的数据需要先补齐，整行信息才完整。完成后，请将填好的工作簿保存为 .xlsx 文件。",
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+ "quality_notes": "The prompt is specific to the visible sheet title and headers, identifies the target column and range, mentions the natural dependency context without describing operations, and avoids formulas or answer values.",
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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02103/release_qc.json ADDED
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+ "binary": true,
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+ "binary_reason": "CORRECT: clean chain-masked task with real cells, consistent formulas, and sufficient visible spreadsheet structure to infer the masked formulas.",
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+ "D1": {
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+ "score": 5,
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+ "reason": "All 346 contract cells are real in-sheet cells within the populated data range, and the mask diff shows all contract cells truly masked with no extra masking. There is no phantom range and no boundary anomaly. The K-column formula is not directly copyable from another visible K cell because the entire K3:K345 target range is masked; visible adjacent formulas provide structural clues but not zero-reasoning leakage."
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+ },
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+ "D2": {
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+ "score": 5,
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+ "reason": "The ground-truth formulas are consistent with the source workbook: K rows aggregate the corresponding Fighting w/ Injury subcolumns Y, AM, and BA, and the layer-2 state-total cells use deterministic SUM formulas over district rows. Cached examples align with the stated formulas, and there are no signs of ambiguity or volatile behavior."
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+ },
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+ "D3": {
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+ "score": 4,
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+ "reason": "The NL clearly identifies the workbook, sheet, target column, and range K3:K345. It also hints that other blank removal-type fields are related and must be meaningful. However, it does not explicitly name the prerequisite masked state-total cells Y3, AM3, and BA3, so the chain aspect is somewhat implicit rather than fully spelled out."
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+ },
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+ "D4": {
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+ "score": 5,
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+ "reason": "Using only mask_last.xlsx and the NL, the task is reconstructible. The repeated removal-type sections are visible with headers and row-2 header-link formulas, and adjacent All Removal Types columns show the aggregation pattern across In-school suspension, Out-of-school suspension, Expulsion, and later sections. For the masked prerequisite cells Y3, AM3, and BA3, surrounding row-3 cells visibly use SUM over rows 4:345, making the state-total formula pattern clear. For K4:K345 and K3, the solver can infer that Fighting w/ Injury aggregates the visible category figures in Y, AM, and BA for each row, with K3 depending on the corresponding state totals. No hidden constants or external evidence are required.",
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+ "d4_type": "ok"
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+ },
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+ "D5": {
22
+ "score": 5,
23
+ "reason": "The source spreadsheet appears structurally sound: headers are meaningful and repeated consistently across removal-type sections, formulas are regular and deterministic, the used data range matches the district rows, and there are no indications of corrupted values, circular references, broken formulas, or inconsistent source formulas."
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+ },
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+ "D6": {
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+ "score": 5,
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+ "reason": "The NL prompt reads like a realistic workplace request: it describes the dataset, identifies the missing column and range, gives light context about related removal-type fields, and asks the user to save the completed workbook without benchmark jargon."
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+ },
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+ "total": 29,
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+ "verdict": "RELEASE",
31
+ "verdict_reason": "High-quality task: clean masking, correct ground truth, coherent NL, and sufficient visible evidence for reconstructing the dependency chain. The only minor issue is that the prerequisite cells are not explicitly named in the prompt, but the sheet structure makes them inferable.",
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+ "frontier_hardness": {
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+ "score": 2,
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+ "reason": "This is a short single-sheet chain with highly regular spreadsheet structure. A frontier model should infer the repeated aggregation pattern from adjacent formulas and section headers, then fill the uniform K-column formulas plus the three state-total SUM prerequisites. The task is not trivial direct-copy because K is fully masked, but it is likely manageable for an advanced model.",
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+ "fail_reason": "easy",
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+ "is_valid_hardness": false
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+ },
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+ "task_id": "single_sheet__dag_4d3aa63ca5bb",
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+ "elapsed": 74.0,
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+ "publish_decision": "YES",
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+ "release_tier": "GOLD",
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+ "hard_block_reasons": []
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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02103/target_contract.json ADDED
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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02103/task_meta.json ADDED
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+ {
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+ "fcb_id": "FCB-02103",
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+ "prompt_en": "Sheet1 is a district-level table titled “2010-11 Iowa Public School Unilateral Removals by District, All Removal Types,” with identifying columns such as County, AEA, District, and District Name. Please complete the blank entries in the “Fighting w/ Injury” column, located in K3:K345, for each district row. Some of the blank removal-type columns in the sheet relate to later fields, so the individual category figures need to be in place before the rest of the row is fully meaningful. When you’re done, please save the completed workbook as an .xlsx file.",
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+ "prompt_cn": "Sheet1 是一张按学区列出的表，标题为“2010-11 Iowa Public School Unilateral Removals by District, All Removal Types”，其中包含 County、AEA、District 和 District Name 等识别信息列。请补全“Fighting w/ Injury”列中的空白项，位置是 K3:K345，对应每一行学区记录。表中有些空白的移除类型列会与后面的字段相关，因此各个类别的数据需要先补齐，整行信息才完整。完成后，请将填好的工作簿保存为 .xlsx 文件。",
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+ ]
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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02171/audit.json ADDED
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+ "pass": true,
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+ "detail": "mask_last=13381B, src=20344B"
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+ "pass": true,
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+ "detail": "16 unique values across 18 cells"
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+ "check": "tail_artifact",
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+ "pass": true,
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+ "detail": "0 bad values"
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+ "check": "adjacent_column_leak",
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+ "pass": true,
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+ },
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+ {
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+ "check": "header_name_accuracy",
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104
+ "check": "uniqueness_deep",
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107
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+ "post_nl_validate": {
112
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118
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119
+ "pass": true,
120
+ "detail": "contract=4, prompt=2, missing=0",
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+ "missing_ranges": [],
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+ "severity": "OK"
123
+ },
124
+ {
125
+ "check": "cell_count_match",
126
+ "pass": true,
127
+ "detail": "no explicit total found; skipping (natural format)",
128
+ "severity": "OK"
129
+ },
130
+ {
131
+ "check": "step_count_match",
132
+ "pass": true,
133
+ "detail": "contract=1, no explicit steps found (v5 natural format)",
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+ "severity": "OK"
135
+ },
136
+ {
137
+ "check": "sheet_name_match",
138
+ "pass": true,
139
+ "detail": "contract=['Consultant Calculator'], missing=[]",
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+ "severity": "OK"
141
+ },
142
+ {
143
+ "check": "no_formula_leak",
144
+ "pass": true,
145
+ "detail": "0 formula leaks",
146
+ "severity": "OK"
147
+ },
148
+ {
149
+ "check": "no_value_leak",
150
+ "pass": true,
151
+ "detail": "0 value leaks out of 9 GT cells",
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+ "severity": "OK"
153
+ },
154
+ {
155
+ "check": "final_target_first",
156
+ "pass": true,
157
+ "detail": "no explicit final target marker (natural format)",
158
+ "severity": "OK"
159
+ },
160
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161
+ "check": "output_format",
162
+ "pass": true,
163
+ "detail": "output format found",
164
+ "severity": "OK"
165
+ },
166
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167
+ "check": "header_in_prompt",
168
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169
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170
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171
+ },
172
+ {
173
+ "check": "hint_specificity",
174
+ "pass": true,
175
+ "detail": "clean",
176
+ "severity": "OK"
177
+ },
178
+ {
179
+ "check": "evidence_scope",
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+ "pass": true,
181
+ "detail": "no cross-sheet refs in GT",
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+ "severity": "OK"
183
+ },
184
+ {
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+ "check": "exemplar_consistency",
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+ "pass": true,
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+ "severity": "OK",
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+ "detail": "checked 2 col groups"
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+ },
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+ {
191
+ "check": "nl_gt_operation_consistency",
192
+ "pass": true,
193
+ "detail": "GT funcs: ['SUM']",
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+ "severity": "OK"
195
+ },
196
+ {
197
+ "check": "unmatched_default_rule",
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+ "pass": true,
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201
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203
+ "check": "volatile_function_freeze",
204
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+ },
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+ {
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+ "check": "direct_answer_leakage",
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+ "detail": "0 leaks out of 18 GT cells (0%)",
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+ "severity": "OK"
213
+ }
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+ ]
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+ "pre_nl_local": {
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+ }
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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02171/mask_last.xlsx ADDED
Binary file (13.4 kB). View file
 
FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02171/nl_task.json ADDED
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+ {
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+ "task_id": "single_sheet__dag_705c31a1e86b",
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+ "prompt_en": "The Consultant Calculator sheet is set up for finance review, with sections labeled Billings, Basic, Title, Days Per Week, Runners, Days Average, Commision Paid Per Year @, Margin Average, and Per Week. For the fiscal year close-out, please fill in the blank values in the Per Year column: I8:I15 and I20. Some of the other blank fields on the sheet support the yearly figures, so those entries need to be in place before the Per Year column is complete. Please save the completed workbook as an .xlsx file.",
4
+ "prompt_cn": "“Consultant Calculator”工作表是用于财务复核的，里面有 Billings、Basic、Title、Days Per Week、Runners、Days Average、Commision Paid Per Year @、Margin Average 和 Per Week 等栏目。为了完成 fiscal year close-out，请把 Per Year 列中的空白值补齐：I8:I15 和 I20。表中其他一些空白字段会支撑年度数字，因此这些内容也需要先补好，Per Year 列才算完整。请将完成后的工作簿保存为 .xlsx 文件。",
5
+ "quality_notes": "The prompt is minimal and business-oriented, references only visible sheet labels and the provided fiscal year close-out framing, identifies the target Per Year cells clearly, and avoids formulas or operational hints.",
6
+ "post_check_issues": [],
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+ "prompt_mode": "minimal",
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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02171/release_qc.json ADDED
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+ "binary": true,
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+ "binary_reason": "Well-designed: mask is clean, GT is consistent, and the G→I dependency can be inferred from visible headers, adjacent values, and visible annualization clues.",
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+ "D1": {
5
+ "score": 5,
6
+ "reason": "All 18 masked cells are real in-range cells matching the contract. The mask boundary is clean with no extra masked cells and no contract cells left unmasked. Formula-cache-missing artifacts are correctly not treated as masking. No trivially copyable same-pattern leakage is evident for the target formulas."
7
+ },
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+ "D2": {
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+ "score": 5,
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+ "reason": "Ground-truth formulas are consistent with the source: each Per Year cell is G-row multiplied by 39, and cached values match the prerequisite weekly values. The formulas are deterministic and internally consistent."
11
+ },
12
+ "D3": {
13
+ "score": 5,
14
+ "reason": "The NL description clearly identifies the sheet and exact target range I8:I15 and I20, and it explains that other blanks support the yearly figures. It is unambiguous for the requested output."
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+ },
16
+ "D4": {
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+ "score": 4,
18
+ "reason": "Using only mask_last and the NL prompt, the task is solvable. The visible headers identify G as Per Week, H as Per 4 Week Average, and I as Per Year. H values provide a direct structural clue that G equals H divided by 4, and visible E/F columns also support G as Days Average times Margin Average. For annualization, the sheet includes visible use of the 39 multiplier elsewhere, giving evidence for I as weekly amount times 39. The only minor gap is that the 39-week annualization rule is not explicitly stated in the prompt or header, so the solver must notice and generalize the visible sheet clue.",
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+ "d4_type": "ok"
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+ },
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+ "D5": {
22
+ "score": 5,
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+ "reason": "Source spreadsheet data appears sound for the audited area: formulas are coherent, cached values match expected calculations, headers are meaningful, and there are no signs of corrupted values, broken formulas, circular references, or phantom ranges relevant to this task."
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+ },
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+ "D6": {
26
+ "score": 5,
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+ "reason": "The prompt reads like a plausible workplace finance review request, avoids benchmark jargon, and naturally explains the need to complete dependent blank fields before the yearly figures."
28
+ },
29
+ "total": 29,
30
+ "verdict": "RELEASE",
31
+ "verdict_reason": "High-quality task with clean masking, correct GT, clear instructions, and sufficient visible evidence for the dependency chain. The annualization constant requires some inference but is visible in the workbook.",
32
+ "frontier_hardness": {
33
+ "score": 2,
34
+ "reason": "This is a short two-layer single-sheet chain with only two simple formula patterns: weekly values and yearly values. Visible headers and adjacent values make the structure straightforward, and a frontier model should likely infer the dependency chain successfully.",
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36
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+ "task_id": "single_sheet__dag_705c31a1e86b",
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+ "elapsed": 19.6,
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+ "publish_decision": "YES",
56
+ "release_tier": "GOLD",
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+ "hard_block_reasons": []
58
+ }
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Binary file (20.3 kB). View file
 
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+ {
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+ {
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+ "sheet": "Consultant Calculator",
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+ "column": "I",
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+ "first_row_label": "Trainee",
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+ },
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+ "prerequisite_steps": [
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+ {
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+ "layer": 2,
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+ {
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+ "sheets_involved": [
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+ ]
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+ }
FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02171/task_meta.json ADDED
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+ {
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+ ]
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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02246/audit.json ADDED
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29
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+ "check": "tail_artifact",
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49
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50
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89
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90
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91
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92
+ "missing_sheets": {
93
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94
+ "count": 0,
95
+ "sheets": []
96
+ },
97
+ "circular_refs": {
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99
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100
+ }
101
+ }
102
+ },
103
+ {
104
+ "check": "uniqueness_deep",
105
+ "pass": true,
106
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107
+ "detail": "clean"
108
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109
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110
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111
+ "post_nl_validate": {
112
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113
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114
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115
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116
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118
+ "check": "cell_range_match",
119
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120
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121
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122
+ "O9:O17"
123
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124
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125
+ },
126
+ {
127
+ "check": "cell_count_match",
128
+ "pass": true,
129
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130
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131
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132
+ {
133
+ "check": "step_count_match",
134
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135
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136
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137
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138
+ {
139
+ "check": "sheet_name_match",
140
+ "pass": true,
141
+ "detail": "contract=['Sheet1'], missing=[]",
142
+ "severity": "OK"
143
+ },
144
+ {
145
+ "check": "no_formula_leak",
146
+ "pass": true,
147
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148
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149
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150
+ {
151
+ "check": "no_value_leak",
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+ "pass": true,
153
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+ {
157
+ "check": "final_target_first",
158
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159
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160
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161
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162
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163
+ "check": "output_format",
164
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165
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166
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167
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168
+ {
169
+ "check": "header_in_prompt",
170
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171
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172
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173
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174
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175
+ "check": "hint_specificity",
176
+ "pass": true,
177
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178
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179
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180
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181
+ "check": "evidence_scope",
182
+ "pass": true,
183
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184
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185
+ },
186
+ {
187
+ "check": "exemplar_consistency",
188
+ "pass": true,
189
+ "severity": "OK",
190
+ "detail": "checked 3 col groups; CONFLICTS: Sheet1!L35: visible='=J35*(1+$H$29)' vs GT pattern='=SUM(O#/M#)'; Sheet1!L36: visible='=L35*M36' vs GT pattern='=SUM(O#/M#)'"
191
+ },
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193
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194
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195
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197
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198
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199
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203
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204
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205
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206
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207
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208
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209
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211
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212
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215
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216
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218
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225
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228
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231
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253
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+ }
412
+ }
FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02246/ground_truth_full.json ADDED
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1
+ [
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+ {
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+ "sheet": "Sheet1",
4
+ "col": "L",
5
+ "row": 9,
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+ "formula": "=SUM(O9/M9)",
7
+ "cached_value": 1.0365853658536586,
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+ "layer": 1
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+ },
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+ {
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+ "sheet": "Sheet1",
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+ "col": "L",
14
+ "row": 10,
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+ "cached_value": 0.927246790299572,
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+ {
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+ "check": "uniqueness_deep",
194
+ "pass": true,
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196
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207
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+ "pass": true,
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+ "missing_ranges": [],
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+ "severity": "OK"
212
+ },
213
+ {
214
+ "check": "cell_count_match",
215
+ "pass": true,
216
+ "detail": "no explicit total found; skipping (natural format)",
217
+ "severity": "OK"
218
+ },
219
+ {
220
+ "check": "step_count_match",
221
+ "pass": true,
222
+ "detail": "contract=1, no explicit steps found (v5 natural format)",
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+ "severity": "OK"
224
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225
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226
+ "check": "sheet_name_match",
227
+ "pass": true,
228
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230
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231
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232
+ "check": "no_formula_leak",
233
+ "pass": true,
234
+ "detail": "0 formula leaks",
235
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236
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237
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238
+ "check": "no_value_leak",
239
+ "pass": true,
240
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242
+ },
243
+ {
244
+ "check": "final_target_first",
245
+ "pass": true,
246
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247
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248
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249
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250
+ "check": "output_format",
251
+ "pass": true,
252
+ "detail": "output format found",
253
+ "severity": "OK"
254
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255
+ {
256
+ "check": "header_in_prompt",
257
+ "pass": true,
258
+ "detail": "no column headers found in prompt",
259
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260
+ },
261
+ {
262
+ "check": "hint_specificity",
263
+ "pass": true,
264
+ "detail": "clean",
265
+ "severity": "OK"
266
+ },
267
+ {
268
+ "check": "evidence_scope",
269
+ "pass": true,
270
+ "detail": "no cross-sheet refs in GT",
271
+ "severity": "OK"
272
+ },
273
+ {
274
+ "check": "exemplar_consistency",
275
+ "pass": true,
276
+ "severity": "OK",
277
+ "detail": "checked 1 col groups"
278
+ },
279
+ {
280
+ "check": "nl_gt_operation_consistency",
281
+ "pass": true,
282
+ "detail": "GT funcs: []",
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+ "severity": "OK"
284
+ },
285
+ {
286
+ "check": "unmatched_default_rule",
287
+ "pass": true,
288
+ "detail": "no default-rule phrase found in NL",
289
+ "severity": "OK"
290
+ },
291
+ {
292
+ "check": "volatile_function_freeze",
293
+ "pass": true,
294
+ "detail": "volatile_cells=0",
295
+ "severity": "OK"
296
+ },
297
+ {
298
+ "check": "direct_answer_leakage",
299
+ "pass": true,
300
+ "detail": "0 leaks out of 145 GT cells (0%)",
301
+ "severity": "OK"
302
+ }
303
+ ]
304
+ },
305
+ "pre_nl_local": {
306
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+ "local_label": "PENDING_NL",
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+ "hard_fail_flags": [],
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+ "warnings": [
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+ "local_subscores": {
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320
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323
+ }
324
+ },
325
+ "verify": {
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+ "total_non_none": 145,
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330
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331
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333
+ "checks": {
334
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336
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337
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338
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339
+ "trivial_gt": {
340
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341
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342
+ "gt_type_consistency": {
343
+ "types": {
344
+ "int": 31,
345
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347
+ "mixed": true
348
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349
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350
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351
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353
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354
+ },
355
+ "src_chain": {
356
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357
+ "block_reasons": [],
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+ "checks": {
359
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360
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361
+ "count": 0,
362
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364
+ "external_refs": {
365
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366
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367
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368
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369
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370
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371
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372
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373
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374
+ "missing_sheets": {
375
+ "pass": true,
376
+ "count": 0,
377
+ "sheets": []
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379
+ "circular_refs": {
380
+ "pass": true,
381
+ "cycle_cells": []
382
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383
+ },
384
+ "required_chain_scope": {
385
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+ "missing_dep": "Permian Matrix!AI18",
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+ "formula": "=(AI18/1000000)/$A114"
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+ },
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+ {
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+ "cell": "Permian Matrix!AI123",
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+ "missing_dep": "Permian Matrix!AI27",
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+ "formula": "=(AI27/1000000)/$A123"
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+ },
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+ {
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+ "cell": "Permian Matrix!AI107",
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+ "missing_dep": "Permian Matrix!AI11",
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+ "formula": "=(AI11/1000000)/$A107"
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+ },
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+ {
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+ "cell": "Permian Matrix!AI116",
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+ "missing_dep": "Permian Matrix!AI20",
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+ "formula": "=(AI20/1000000)/$A116"
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+ },
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+ {
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+ "cell": "Permian Matrix!AI125",
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+ "missing_dep": "Permian Matrix!AI29",
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+ "formula": "=(AI29/1000000)/$A125"
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+ },
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+ {
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+ "cell": "Permian Matrix!AI100",
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+ "missing_dep": "Permian Matrix!AI4",
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+ "formula": "=(AI4/1000000)/$A100"
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+ {
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+ "cell": "Permian Matrix!AI109",
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+ "missing_dep": "Permian Matrix!AI13",
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+ "formula": "=(AI13/1000000)/$A109"
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+ {
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+ "cell": "Permian Matrix!AI118",
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+ "formula": "=(AI22/1000000)/$A118"
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+ {
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+ "cell": "Permian Matrix!AI127",
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+ "formula": "=(AI31/1000000)/$A127"
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+ },
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+ {
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+ "cell": "Permian Matrix!AI102",
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+ "missing_dep": "Permian Matrix!AI6",
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+ "formula": "=(AI6/1000000)/$A102"
455
+ },
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+ {
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+ "reason": "All 145 contract cells are truly masked and there are no extra masked cells outside the contract. The referenced ranges are within the actual sheet dimensions. Although there are many visible neighboring exemplars, the final AI193:AI249 formulas are not a zero-reasoning row-copy because the denominator/base row must be inferred from the adjacent-column diagonal pattern; the mask boundary is clean."
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+ "reason": "The ground-truth formulas match the visible source pattern: AI99:AI186 compute normalized values from rows 3:90, and AI193:AI249 compute relative change against the AI130 baseline. The shown cached values are consistent with the formulas, and the formulas are deterministic."
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+ "reason": "The NL clearly identifies the sheet and the final target range AI193:AI249. It also hints that prerequisite blanks feed the target. The wording about the '-' column is somewhat indirect because the visible column header is date-like while '-' appears as a section/header label, but the explicit range removes practical ambiguity."
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+ "reason": "Using only mask_last.xlsx and the NL prompt, the required patterns are reconstructible. For AI99:AI186, adjacent visible columns show the exact same normalized formula structure, making the same-column prerequisite pattern clear. For AI193:AI249, adjacent columns AA:AH and AJ:AQ show the relative-change pattern and the column-dependent baseline row progression, from which AI's baseline row 130 and the numerator sequence AI130:AI186 can be inferred. No hidden constants or external references are needed.",
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+ "D5": {
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+ "score": 5,
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+ "reason": "The source workbook appears structurally sound: formulas are consistent across the matrix, headers are meaningful and aligned, no broken references or circular-reference symptoms are indicated, and automated checks report a clean chain."
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+ },
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+ "reason": "The NL reads like a plausible workplace request to finish a report. It avoids benchmark-specific terminology and provides contextual framing while naming the needed sheet and range."
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+ "total": 29,
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+ "verdict_reason": "High-quality task: clean masking, valid GT, sufficient visible evidence for both formula layers, and no source-data issues. The task is challenging enough to require dependency-chain reasoning but not under-specified.",
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+ "frontier_hardness": {
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+ "reason": "A frontier model would likely succeed because the workbook exposes strong adjacent-column formula exemplars for both the prerequisite normalization layer and the final relative-change layer. The main reasoning step is inferring the AI baseline row from the diagonal neighboring-column pattern, but there are no cross-sheet dependencies, hidden constants, or many competing formula patterns.",
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