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FormulaCascade_Benchmark

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  1. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/audit.json +477 -0
  2. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/ground_truth_full.json +4106 -0
  3. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/ground_truth_target.json +914 -0
  4. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/layers.json +2138 -0
  5. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/mask_last.xlsx +0 -0
  6. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/nl_task.json +26 -0
  7. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/release_qc.json +58 -0
  8. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/target_contract.json +533 -0
  9. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/task_meta.json +37 -0
  10. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/audit.json +524 -0
  11. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/ground_truth_full.json +794 -0
  12. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/ground_truth_target.json +50 -0
  13. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/layers.json +205 -0
  14. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/nl_task.json +26 -0
  15. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/release_qc.json +58 -0
  16. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/target_contract.json +154 -0
  17. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/task_meta.json +217 -0
  18. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/audit.json +579 -0
  19. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/ground_truth_full.json +686 -0
  20. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/ground_truth_target.json +202 -0
  21. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/layers.json +162 -0
  22. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/mask_last.xlsx +0 -0
  23. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/nl_task.json +26 -0
  24. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/release_qc.json +58 -0
  25. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/src.xlsx +0 -0
  26. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/target_contract.json +143 -0
  27. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/task_meta.json +91 -0
  28. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/audit.json +530 -0
  29. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/ground_truth_full.json +281 -0
  30. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/ground_truth_target.json +82 -0
  31. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/layers.json +252 -0
  32. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/mask_last.xlsx +0 -0
  33. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/nl_task.json +26 -0
  34. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/release_qc.json +58 -0
  35. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/src.xlsx +0 -0
  36. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/target_contract.json +97 -0
  37. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/task_meta.json +91 -0
  38. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/audit.json +594 -0
  39. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/ground_truth_full.json +578 -0
  40. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/ground_truth_target.json +130 -0
  41. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/layers.json +164 -0
  42. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/mask_last.xlsx +0 -0
  43. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/nl_task.json +26 -0
  44. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/release_qc.json +58 -0
  45. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/src.xlsx +0 -0
  46. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/target_contract.json +142 -0
  47. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/task_meta.json +88 -0
  48. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/audit.json +452 -0
  49. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/ground_truth_full.json +893 -0
  50. FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/ground_truth_target.json +162 -0
FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01365/audit.json ADDED
@@ -0,0 +1,477 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "gate": {
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+ "gate_pass": true,
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+ "hard_fails": 0,
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+ "warns": 0,
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+ "checks": [
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+ {
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+ "check": "final_target_gate",
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+ "pass": true,
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+ "detail": "final_target has 114 cells"
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+ },
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+ {
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+ "check": "header_grounding",
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+ "pass": true,
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+ "severity": "pass",
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+ "detail": "1/1 final regions have column_header"
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+ },
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+ {
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+ "check": "mask_consistency",
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+ "pass": true,
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+ "detail": "mask_last=13063B, src=24174B"
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+ },
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+ {
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+ "check": "dirty_family",
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+ "pass": true,
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+ "detail": "0 dirty cells"
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+ },
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+ {
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+ "pass": true,
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+ "detail": "ratio=4.0 (total=456, final=114)"
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+ },
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+ {
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+ "check": "dedup_gate",
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+ "pass": true,
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+ "detail": "0 duplicate cells across layers"
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+ },
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+ {
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+ "check": "gt_uniqueness",
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+ "pass": true,
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+ "detail": "229 unique values across 456 cells"
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+ },
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+ {
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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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+ },
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+ {
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+ "check": "unrecoverable_leaf",
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+ "pass": true,
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+ "detail": "clean",
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+ "hidden_const_cells": []
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+ },
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+ {
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+ "check": "adjacent_column_leak",
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+ "pass": true,
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+ "detail": "clean"
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+ },
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+ {
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+ "check": "header_name_accuracy",
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+ "pass": true,
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+ "detail": "clean"
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+ },
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+ {
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+ "check": "duplicate_lookup_tie_break",
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+ "pass": true,
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+ "severity": null,
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+ "detail": "114 lookups"
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+ },
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+ {
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+ "check": "src_chain_integrity",
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+ "pass": true,
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+ "severity": "ok",
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+ "detail": "clean",
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+ "sub_checks": {
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+ "count": 0,
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+ },
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+ }
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+ }
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+ },
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+ {
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+ "check": "uniqueness_deep",
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+ "pass": true,
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+ "severity": "ok",
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+ "detail": "clean"
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+ }
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+ ]
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+ },
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+ "post_nl_validate": {
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+ "check": "cell_range_match",
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+ "pass": false,
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+ "detail": "contract=4, prompt=1, missing=2",
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+ "missing_ranges": [
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+ "H3:H116",
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+ "Q3:Q116"
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+ ],
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+ "severity": "SOFT_WARN"
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+ },
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+ {
129
+ "check": "cell_count_match",
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+ "pass": true,
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+ "detail": "no explicit total found; skipping (natural format)",
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+ "severity": "OK"
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+ },
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+ {
135
+ "check": "step_count_match",
136
+ "pass": true,
137
+ "detail": "contract=2, no explicit steps found (v5 natural format)",
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+ "severity": "OK"
139
+ },
140
+ {
141
+ "check": "sheet_name_match",
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+ "pass": true,
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+ "detail": "contract=['Sheet1'], missing=[]",
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+ "severity": "OK"
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+ },
146
+ {
147
+ "check": "no_formula_leak",
148
+ "pass": true,
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+ "detail": "0 formula leaks",
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+ "severity": "OK"
151
+ },
152
+ {
153
+ "check": "no_value_leak",
154
+ "pass": true,
155
+ "detail": "0 value leaks out of 114 GT cells",
156
+ "severity": "OK"
157
+ },
158
+ {
159
+ "check": "final_target_first",
160
+ "pass": true,
161
+ "detail": "no explicit final target marker (natural format)",
162
+ "severity": "OK"
163
+ },
164
+ {
165
+ "check": "output_format",
166
+ "pass": true,
167
+ "detail": "output format found",
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+ "severity": "OK"
169
+ },
170
+ {
171
+ "check": "header_in_prompt",
172
+ "pass": true,
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+ "detail": "no column headers found in prompt",
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+ "severity": "OK"
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+ },
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+ {
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+ "check": "hint_specificity",
178
+ "pass": true,
179
+ "detail": "clean",
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+ "severity": "OK"
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+ },
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+ {
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+ "check": "evidence_scope",
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+ "pass": true,
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+ "detail": "no cross-sheet refs in GT",
186
+ "severity": "OK"
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+ },
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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 4 col groups"
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+ },
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+ {
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+ "check": "nl_gt_operation_consistency",
196
+ "pass": false,
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+ "detail": "GT funcs: ['INDEX', 'MATCH', 'MAX', 'RANK', 'ROWS', 'SMALL']; MISMATCHES: GT uses INDEX but NL doesn't mention any of: find, index, look up, lookup; GT uses MATCH but NL doesn't mention any of: find, match, position",
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+ "severity": "SOFT_WARN"
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+ },
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+ {
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+ "check": "unmatched_default_rule",
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+ "pass": true,
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+ "detail": "no default-rule phrase found in NL",
204
+ "severity": "OK"
205
+ },
206
+ {
207
+ "check": "volatile_function_freeze",
208
+ "pass": true,
209
+ "detail": "volatile_cells=0",
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+ "severity": "OK"
211
+ },
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+ {
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+ "check": "direct_answer_leakage",
214
+ "pass": true,
215
+ "detail": "0 leaks out of 456 GT cells (0%)",
216
+ "severity": "OK"
217
+ }
218
+ ]
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+ },
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+ "pre_nl_local": {
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+ "local_total": 58,
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+ "local_label": "PENDING_NL",
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+ "hard_fail_flags": [],
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+ "warnings": [
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+ "release_verdict_not_keep",
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+ "nl_missing"
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+ "local_subscores": {
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+ "family_clean": 25,
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+ "taxonomy": 10,
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+ "semantic_signal": 8,
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+ },
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+ "hard_block": false,
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+ "sample_formula": "=SMALL($E$3:$E$116,ROWS($1:31))"
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+ },
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+ "total_in_src": 114,
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+ "sample_formula": "=(C3*(MAX($D$3:$D$116)+1-D3))-(A3/100)"
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+ }
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+ },
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+ "flags": []
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+ "surface_sheets": [
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+ "cross_sheet_actual": false,
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+ "target_shape": "single_column_series",
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+ "check": "exemplar_consistency",
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+ "formula": "=H78+J78"
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+ "cell": "WE-FLSH!L32",
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+ "formula": "=H32+J32"
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+ "formula": "=H71+J71"
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+ "formula": "=H55+J55"
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+ {
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+ "formula": "=H64+J64"
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+ {
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+ "cell": "WE-FLSH!L73",
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+ "missing_dep": "WE-FLSH!J73",
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+ "formula": "=H73+J73"
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+ {
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+ "cell": "WE-FLSH!L27",
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+ "missing_dep": "WE-FLSH!J27",
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+ "formula": "=H27+J27"
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+ "cell": "WE-FLSH!L11",
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+ "formula": "=H11+J11"
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+ },
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+ {
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+ "cell": "WE-FLSH!L75",
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+ "missing_dep": "WE-FLSH!J75",
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+ "formula": "=H75+J75"
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+ {
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+ "cell": "WE-FLSH!L20",
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+ "missing_dep": "WE-FLSH!J20",
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+ "formula": "=H20+J20"
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+ {
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+ "cell": "WE-FLSH!L41",
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+ "missing_dep": "WE-FLSH!J41",
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+ "formula": "=H41+J41"
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+ {
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+ "cell": "WE-FLSH!L59",
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+ "missing_dep": "WE-FLSH!J59",
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+ "formula": "=H59+J59"
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+ {
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+ "cell": "WE-FLSH!L13",
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+ "missing_dep": "WE-FLSH!J13",
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+ "formula": "=H13+J13"
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+ {
390
+ "cell": "WE-FLSH!L77",
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+ "missing_dep": "WE-FLSH!J77",
392
+ "formula": "=H77+J77"
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+ {
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+ "cell": "WE-FLSH!L34",
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+ "missing_dep": "WE-FLSH!J34",
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+ "formula": "=H34+J34"
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+ },
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+ {
400
+ "cell": "WE-FLSH!L70",
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+ "missing_dep": "WE-FLSH!J70",
402
+ "formula": "=H70+J70"
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+ },
404
+ {
405
+ "cell": "WE-FLSH!L45",
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+ "missing_dep": "WE-FLSH!J45",
407
+ "formula": "=H45+J45"
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+ },
409
+ {
410
+ "cell": "WE-FLSH!L54",
411
+ "missing_dep": "WE-FLSH!J54",
412
+ "formula": "=H54+J54"
413
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414
+ ]
415
+ },
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+ "orphan_masks": {
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+ "details": []
419
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420
+ "self_contained": {
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422
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423
+ }
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+ "prompt_cn": "WE-FLSH 工作表是 Enron Capital & Trade Resources 针对生产月份 9903 的销售运营分析页面，其中包含 Operational Analysis - Reclasses、Tie-Out Schedule 和 Reported 等部分。请补全该工作表中 Sales 相关行的 Volume 列缺失值：L29、L42、L56、L61、L66 和 L72。表内一些明细的 Volume 项目需要先补齐，后面的 reported 或汇总类行才会对应得上，所以请根据可见的分区和标签，把 Volume 列填写一致。完成后请将工作簿保存为 .xlsx 文件。",
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+ "quality_notes": "The prompt is minimal and business-contextual, names the sheet and target Volume cells, avoids formulas and operation hints, and mentions the natural dependency without spelling out any calculation steps.",
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+ "reason": "All contract masked cells are real cells within the WE-FLSH sheet range, and the intended chain masking is coherent. There is substantial adjacent-column structural leakage: the needed H and L formulas can largely be inferred by parallel formulas in I/M and summary rows, but the solver still must reconstruct the H-to-L dependency chain across many rows, so it is not merely a single trivial copy. The main boundary issue is the MASK DIFF SUMMARY showing 4 extra truly masked cells outside the contract: RECLASS!A83, TIE-OUT!A83, TX-HPL-VAR !G50, and SE-CON-VAR!G50. These appear unrelated to the target task but reduce cleanliness."
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+ "reason": "The ground-truth layer-1 formulas match the source workbook: each final target is a deterministic SUM over the corresponding two detailed L cells, e.g. L42 = SUM(L40:L41) with cached value -36293. The cached values are consistent with the visible source values and no ambiguity or volatility is present."
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+ "D3": {
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+ "score": 4,
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+ "reason": "The NL prompt clearly identifies the sheet and the exact final cells to complete: L29, L42, L56, L61, L66, and L72. It also hints that detailed volume entries must be completed for summaries to read correctly. Minor weakness: it describes them as 'sales lines,' while several are summary or tie-out/transport/storage lines, and it does not explicitly list the prerequisite H/L detail cells."
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+ "D4": {
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+ "score": 5,
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+ "reason": "Using only mask_last.xlsx and the NL prompt, the task has sufficient root evidence. Headers show paired Volume/$ columns across D/E, F/G, H/I, J/K, and L/M. Visible formulas in the adjacent dollar columns and summary rows provide strong structural clues: I cells mirror E, M cells combine I+K, summaries use SUM over the same section ranges, and visible D/H/L summary relationships reveal the same section structure. The blank H detail cells can be inferred from the visible D values and parallel I=E pattern; the blank L detail cells can be inferred from H plus visible J; the final L cells then follow the visible section subtotal patterns. No hidden constants or cross-sheet references are required.",
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+ "d4_type": "ok"
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+ },
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+ "D5": {
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+ "score": 5,
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+ "reason": "The source spreadsheet appears sound for this task. The WE-FLSH formulas are internally consistent, column headers are meaningful and repeated in a regular operational-analysis layout, and the referenced rows and formulas align with cached values. No evidence of corrupted values, circular references, or broken formulas is present in the supplied source context."
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+ },
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+ "D6": {
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+ "score": 5,
27
+ "reason": "The NL prompt sounds like a plausible workplace request: it names the business view, sheet, production month, and relevant sections, asks for completion of missing Volume entries, and avoids benchmark-specific jargon."
28
+ },
29
+ "total": 28,
30
+ "verdict": "RELEASE",
31
+ "verdict_reason": "Publishable as-is. GT is correct, the task is solvable from visible workbook evidence, and the NL is clear. The only notable issue is minor extra masking outside the contract, apparently unrelated to the target sheet/task.",
32
+ "frontier_hardness": {
33
+ "score": 2,
34
+ "reason": "A frontier model should likely succeed. Although the task has depth 3 and many masked cells, the formulas are highly regular, same-sheet only, and strongly evidenced by adjacent visible columns and section totals. There are no hidden constants, cross-sheet hops, or unusual boundary rules.",
35
+ "fail_reason": "easy",
36
+ "is_valid_hardness": false
37
+ },
38
+ "_prompt_chars": 75338,
39
+ "_timing_load_workbooks": 4.25,
40
+ "_timing_context": 0.15,
41
+ "_timing_api": 95.37,
42
+ "local_difficulty": {
43
+ "difficulty_score": 46.2,
44
+ "difficulty": "medium",
45
+ "depth": 3,
46
+ "total_masked": 88,
47
+ "is_cross_sheet": false,
48
+ "unique_patterns": 3,
49
+ "avg_complexity": 4,
50
+ "cross_refs": 0,
51
+ "visible_exemplar_ratio": 0.571
52
+ },
53
+ "task_id": "single_sheet__dag_f52e38db3b39",
54
+ "elapsed": 99.8,
55
+ "publish_decision": "YES",
56
+ "release_tier": "GOLD",
57
+ "hard_block_reasons": []
58
+ }
FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/target_contract.json ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "task_id": "single_sheet__dag_f52e38db3b39",
3
+ "category": "single_sheet",
4
+ "depth": 3,
5
+ "final_target": {
6
+ "regions": [
7
+ {
8
+ "sheet": "WE-FLSH",
9
+ "column": "L",
10
+ "column_header": "Volume",
11
+ "cell_range": "L29, L42, L56, L61, L66, L72",
12
+ "cell_count": 6,
13
+ "rows": [
14
+ 29,
15
+ 42,
16
+ 56,
17
+ 61,
18
+ 66,
19
+ 72
20
+ ],
21
+ "first_row_label": "Total Intra CTS Sales / Purchases",
22
+ "last_row_label": "Total MTM Income"
23
+ }
24
+ ],
25
+ "cell_count": 6,
26
+ "formula_families": [
27
+ "aggregation"
28
+ ]
29
+ },
30
+ "prerequisite_steps": [
31
+ {
32
+ "layer": 3,
33
+ "regions": [
34
+ {
35
+ "sheet": "WE-FLSH",
36
+ "column": "H",
37
+ "column_header": "Volume",
38
+ "cell_range": "H11:H15, H18:H23, H27:H28, H32:H35, H38:H41, H45, H47, H49, H51, H54:H55, H59:H60, H64:H65, H70:H71, H73:H81",
39
+ "cell_count": 42,
40
+ "rows": [
41
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42
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43
+ 13,
44
+ 14,
45
+ 15,
46
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47
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48
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49
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50
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51
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52
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54
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55
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61
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62
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63
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64
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65
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66
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67
+ 55,
68
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69
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71
+ 65,
72
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73
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74
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75
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76
+ 75,
77
+ 76,
78
+ 77,
79
+ 78,
80
+ 79,
81
+ 80,
82
+ 81
83
+ ],
84
+ "first_row_label": "3rd Party / Inter Enron",
85
+ "last_row_label": "Miscellaneous"
86
+ }
87
+ ],
88
+ "cell_count": 42
89
+ },
90
+ {
91
+ "layer": 2,
92
+ "regions": [
93
+ {
94
+ "sheet": "WE-FLSH",
95
+ "column": "L",
96
+ "column_header": "Volume",
97
+ "cell_range": "L11:L15, L19:L23, L27:L28, L32:L35, L39:L41, L45, L47, L49, L51, L54:L55, L59:L60, L64:L65, L70:L71, L73:L81",
98
+ "cell_count": 40,
99
+ "rows": [
100
+ 11,
101
+ 12,
102
+ 13,
103
+ 14,
104
+ 15,
105
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106
+ 20,
107
+ 21,
108
+ 22,
109
+ 23,
110
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111
+ 28,
112
+ 32,
113
+ 33,
114
+ 34,
115
+ 35,
116
+ 39,
117
+ 40,
118
+ 41,
119
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120
+ 47,
121
+ 49,
122
+ 51,
123
+ 54,
124
+ 55,
125
+ 59,
126
+ 60,
127
+ 64,
128
+ 65,
129
+ 70,
130
+ 71,
131
+ 73,
132
+ 74,
133
+ 75,
134
+ 76,
135
+ 77,
136
+ 78,
137
+ 79,
138
+ 80,
139
+ 81
140
+ ],
141
+ "first_row_label": "3rd Party / Inter Enron",
142
+ "last_row_label": "Miscellaneous"
143
+ }
144
+ ],
145
+ "cell_count": 40
146
+ }
147
+ ],
148
+ "total_prerequisite_cells": 82,
149
+ "total_masked_cells": 88,
150
+ "ratio_total_vs_final": 14.7,
151
+ "sheets_involved": [
152
+ "WE-FLSH"
153
+ ]
154
+ }
FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01373/task_meta.json ADDED
@@ -0,0 +1,217 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "fcb_id": "FCB-01373",
3
+ "task_id": "single_sheet__dag_f52e38db3b39",
4
+ "tier": "T2_HARD",
5
+ "category": "single_sheet",
6
+ "depth": 3,
7
+ "total_masked": 88,
8
+ "is_cross_sheet": false,
9
+ "prompt_en": "The WE-FLSH sheet is an Enron Capital & Trade Resources sales operational analysis view for production month 9903, with sections like Operational Analysis - Reclasses, Tie-Out Schedule, and Reported. Please complete the missing entries in the Volume column for the sales lines on this sheet: L29, L42, L56, L61, L66, and L72. Some of the detailed volume entries on the sheet need to be in place before the later reported or summary lines read correctly, so make sure the Volume column is completed consistently with the visible sections and labels. Save the completed workbook as an .xlsx file.",
10
+ "prompt_cn": "WE-FLSH 工作表是 Enron Capital & Trade Resources 针对生产月份 9903 的销售运营分析页面，其中包含 Operational Analysis - Reclasses、Tie-Out Schedule 和 Reported 等部分。请补全该工作表中 Sales 相关行的 Volume 列缺失值：L29、L42、L56、L61、L66 和 L72。表内一些明细的 Volume 项目需要先补齐，后面的 reported 或汇总类行才会对应得上，所以请根据可见的分区和标签，把 Volume 列填写一致。完成后请将工作簿保存为 .xlsx 文件。",
11
+ "qc": {
12
+ "total": 28,
13
+ "verdict": "RELEASE",
14
+ "D1": 4,
15
+ "D2": 5,
16
+ "D3": 4,
17
+ "D4": 5,
18
+ "D5": 5,
19
+ "D6": 5,
20
+ "frontier_hardness": 2,
21
+ "local_difficulty": 46.2
22
+ },
23
+ "source_file_id": "phillip_m_love__30154__9903_OA",
24
+ "inferred_domain": "sales",
25
+ "domain_confidence": 0.75,
26
+ "sheet_profiles": [
27
+ {
28
+ "name": "Check",
29
+ "used_range": "A1:H129",
30
+ "row_count": 129,
31
+ "col_count": 8,
32
+ "has_header": false,
33
+ "title_hint": "Check",
34
+ "header_info": null
35
+ },
36
+ {
37
+ "name": "RECLASS",
38
+ "used_range": "A1:Z85",
39
+ "row_count": 85,
40
+ "col_count": 26,
41
+ "has_header": false,
42
+ "title_hint": "RECLASS",
43
+ "header_info": null
44
+ },
45
+ {
46
+ "name": "TIE-OUT",
47
+ "used_range": "A1:Z92",
48
+ "row_count": 92,
49
+ "col_count": 26,
50
+ "has_header": false,
51
+ "title_hint": "TIE OUT",
52
+ "header_info": null
53
+ },
54
+ {
55
+ "name": "NE-FLSH",
56
+ "used_range": "A1:BO91",
57
+ "row_count": 91,
58
+ "col_count": 67,
59
+ "has_header": false,
60
+ "title_hint": "NE FLSH",
61
+ "header_info": null
62
+ },
63
+ {
64
+ "name": "WE-FLSH",
65
+ "used_range": "A1:BO83",
66
+ "row_count": 83,
67
+ "col_count": 67,
68
+ "has_header": false,
69
+ "title_hint": "WE FLSH",
70
+ "header_info": null
71
+ },
72
+ {
73
+ "name": "CE_GL",
74
+ "used_range": "A1:AS83",
75
+ "row_count": 83,
76
+ "col_count": 45,
77
+ "has_header": false,
78
+ "title_hint": "CE GL",
79
+ "header_info": null
80
+ },
81
+ {
82
+ "name": "NE_GL",
83
+ "used_range": "A1:AS91",
84
+ "row_count": 91,
85
+ "col_count": 45,
86
+ "has_header": false,
87
+ "title_hint": "NE GL",
88
+ "header_info": null
89
+ },
90
+ {
91
+ "name": "SE-EGM-GL",
92
+ "used_range": "A1:AS83",
93
+ "row_count": 83,
94
+ "col_count": 45,
95
+ "has_header": false,
96
+ "title_hint": "SE EGM GL",
97
+ "header_info": null
98
+ },
99
+ {
100
+ "name": "SE-LRC-GL",
101
+ "used_range": "A1:CX84",
102
+ "row_count": 84,
103
+ "col_count": 102,
104
+ "has_header": false,
105
+ "title_hint": "SE LRC GL",
106
+ "header_info": null
107
+ },
108
+ {
109
+ "name": "SE-CON-GL ",
110
+ "used_range": "A1:AS84",
111
+ "row_count": 84,
112
+ "col_count": 45,
113
+ "has_header": false,
114
+ "title_hint": "SE CON GL",
115
+ "header_info": null
116
+ },
117
+ {
118
+ "name": "EAST-CON-GL",
119
+ "used_range": "A1:AS91",
120
+ "row_count": 91,
121
+ "col_count": 45,
122
+ "has_header": false,
123
+ "title_hint": "EAST CON GL",
124
+ "header_info": null
125
+ },
126
+ {
127
+ "name": "TX-EGM-GL",
128
+ "used_range": "A1:BY91",
129
+ "row_count": 91,
130
+ "col_count": 77,
131
+ "has_header": false,
132
+ "title_hint": "TX EGM GL",
133
+ "header_info": null
134
+ },
135
+ {
136
+ "name": "TX-HPL-GL ",
137
+ "used_range": "A1:AS93",
138
+ "row_count": 93,
139
+ "col_count": 45,
140
+ "has_header": false,
141
+ "title_hint": "TX HPL GL",
142
+ "header_info": null
143
+ },
144
+ {
145
+ "name": "TX-CON-GL ",
146
+ "used_range": "A1:BY91",
147
+ "row_count": 91,
148
+ "col_count": 77,
149
+ "has_header": false,
150
+ "title_hint": "TX CON GL",
151
+ "header_info": null
152
+ },
153
+ {
154
+ "name": "WE-GL ",
155
+ "used_range": "A1:AS83",
156
+ "row_count": 83,
157
+ "col_count": 45,
158
+ "has_header": false,
159
+ "title_hint": "WE GL",
160
+ "header_info": null
161
+ },
162
+ {
163
+ "name": "BGC_GL",
164
+ "used_range": "A1:AS83",
165
+ "row_count": 83,
166
+ "col_count": 45,
167
+ "has_header": false,
168
+ "title_hint": "BGC GL",
169
+ "header_info": null
170
+ },
171
+ {
172
+ "name": "STG_GL",
173
+ "used_range": "A1:AS84",
174
+ "row_count": 84,
175
+ "col_count": 45,
176
+ "has_header": false,
177
+ "title_hint": "STG GL",
178
+ "header_info": null
179
+ },
180
+ {
181
+ "name": "ONT_GL ",
182
+ "used_range": "A1:BY91",
183
+ "row_count": 91,
184
+ "col_count": 77,
185
+ "has_header": false,
186
+ "title_hint": "ONT GL",
187
+ "header_info": null
188
+ },
189
+ {
190
+ "name": "SE-CON-VAR",
191
+ "used_range": "A1:BK83",
192
+ "row_count": 83,
193
+ "col_count": 63,
194
+ "has_header": false,
195
+ "title_hint": "SE CON VAR",
196
+ "header_info": null
197
+ },
198
+ {
199
+ "name": "TX-HPL-VAR ",
200
+ "used_range": "A1:BK83",
201
+ "row_count": 83,
202
+ "col_count": 63,
203
+ "has_header": false,
204
+ "title_hint": "TX HPL VAR",
205
+ "header_info": null
206
+ },
207
+ {
208
+ "name": "Actuals",
209
+ "used_range": "A1:DN654",
210
+ "row_count": 654,
211
+ "col_count": 118,
212
+ "has_header": false,
213
+ "title_hint": "Actuals",
214
+ "header_info": null
215
+ }
216
+ ]
217
+ }
FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01389/audit.json ADDED
@@ -0,0 +1,579 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "gate": {
3
+ "pre_nl_gate": {
4
+ "gate_label": "GATE_PASS",
5
+ "gate_pass": true,
6
+ "hard_fails": 0,
7
+ "warns": 0,
8
+ "checks": [
9
+ {
10
+ "check": "final_target_gate",
11
+ "pass": true,
12
+ "detail": "final_target has 25 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=46961B, src=77695B"
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=3.0 (total=76, final=25)"
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": "41 unique values across 76 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": "leaked: Test!E→Jean Pierre Soullière!E(25/25), Test!F→Jean Pierre Soullière!F(25/25)"
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
+ "pass": true,
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": "SOFT_WARN",
113
+ "validate_pass": true,
114
+ "hard_fails": 0,
115
+ "soft_warns": 1,
116
+ "checks": [
117
+ {
118
+ "check": "cell_range_match",
119
+ "pass": true,
120
+ "detail": "contract=3, 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=2, no explicit steps found (v5 natural format)",
134
+ "severity": "OK"
135
+ },
136
+ {
137
+ "check": "sheet_name_match",
138
+ "pass": false,
139
+ "detail": "contract=['Jean Pierre Soullière', 'Player DATA'], missing=['Player DATA']",
140
+ "severity": "INFO"
141
+ },
142
+ {
143
+ "check": "no_formula_leak",
144
+ "pass": true,
145
+ "detail": "0 formula leaks",
146
+ "severity": "OK"
147
+ },
148
+ {
149
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FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/audit.json ADDED
@@ -0,0 +1,530 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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124
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125
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126
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127
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154
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155
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156
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157
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159
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160
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161
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162
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164
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165
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168
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169
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170
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172
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208
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214
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+ "missing_dep": "Data Dump!B93",
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+ "formula": "=INDEX('Data Dump'!$B$79:$Y$94, MATCH($B$1, 'Data Dump'!$A$79:$A$94, 0), MATCH(D"
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+ "cell": "Rep A!D4",
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+ "missing_dep": "Data Dump!H3",
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+ "formula": "=INDEX('Data Dump'!$B$3:$Y$18, MATCH($B$1, 'Data Dump'!$A$3:$A$18, 0), MATCH(D$2"
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+ },
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+ "cell": "Rep A!D7",
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+ "missing_dep": "Data Dump!H22",
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+ "formula": "=INDEX('Data Dump'!$B$22:$Y$37, MATCH($B$1, 'Data Dump'!$A$22:$A$37, 0), MATCH(D"
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+ },
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+ {
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+ "cell": "Rep A!D10",
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+ "missing_dep": "Data Dump!C55",
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+ "formula": "=INDEX('Data Dump'!$B$41:$Y$56, MATCH($B$1, 'Data Dump'!$A$41:$A$56, 0), MATCH(D"
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+ {
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+ "cell": "Rep A!D16",
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+ "missing_dep": "Data Dump!B74",
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+ "formula": "=INDEX('Data Dump'!$B$60:$Y$75, MATCH($B$1, 'Data Dump'!$A$60:$A$75, 0), MATCH(D"
362
+ },
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+ {
364
+ "cell": "Rep A!D19",
365
+ "missing_dep": "Data Dump!B93",
366
+ "formula": "=INDEX('Data Dump'!$B$79:$Y$94, MATCH($B$1, 'Data Dump'!$A$79:$A$94, 0), MATCH(D"
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+ },
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+ "missing_dep": "Data Dump!H3",
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+ "formula": "=INDEX('Data Dump'!$B$3:$Y$18, MATCH($B$1, 'Data Dump'!$A$3:$A$18, 0), MATCH(D$2"
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+ "cell": "Rep A!D28",
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+ "missing_dep": "Data Dump!H22",
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+ "formula": "=INDEX('Data Dump'!$B$22:$Y$37, MATCH($B$1, 'Data Dump'!$A$22:$A$37, 0), MATCH(D"
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+ {
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+ "cell": "Rep A!D31",
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+ "missing_dep": "Data Dump!C55",
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+ "formula": "=INDEX('Data Dump'!$B$41:$Y$56, MATCH($B$1, 'Data Dump'!$A$41:$A$56, 0), MATCH(D"
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+ "cell": "Rep A!D18",
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+ "missing_dep": "Data Dump!B93",
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+ "formula": "=INDEX('Data Dump'!$B$79:$Y$94, MATCH($B$1, 'Data Dump'!$A$79:$A$94, 0), MATCH(D"
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+ },
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+ {
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+ "cell": "Rep A!D15",
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+ "missing_dep": "Data Dump!B74",
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+ "formula": "=INDEX('Data Dump'!$B$60:$Y$75, MATCH($B$1, 'Data Dump'!$A$60:$A$75, 0), MATCH(D"
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+ },
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+ "cell": "Rep A!D24",
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+ "missing_dep": "Data Dump!H3",
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+ "formula": "=INDEX('Data Dump'!$B$3:$Y$18, MATCH($B$1, 'Data Dump'!$A$3:$A$18, 0), MATCH(D$2"
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+ },
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+ "cell": "Rep A!D30",
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+ "missing_dep": "Data Dump!C55",
401
+ "formula": "=INDEX('Data Dump'!$B$41:$Y$56, MATCH($B$1, 'Data Dump'!$A$41:$A$56, 0), MATCH(D"
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+ },
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+ "cell": "Rep A!D27",
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+ "missing_dep": "Data Dump!H22",
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+ "formula": "=INDEX('Data Dump'!$B$22:$Y$37, MATCH($B$1, 'Data Dump'!$A$22:$A$37, 0), MATCH(D"
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+ },
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+ "cell": "Rep A!D36",
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+ "missing_dep": "Data Dump!B74",
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+ "formula": "=INDEX('Data Dump'!$B$60:$Y$75, MATCH($B$1, 'Data Dump'!$A$60:$A$75, 0), MATCH(D"
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+ },
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+ {
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+ "cell": "Rep A!D39",
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+ "missing_dep": "Data Dump!B93",
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+ "formula": "=INDEX('Data Dump'!$B$79:$Y$94, MATCH($B$1, 'Data Dump'!$A$79:$A$94, 0), MATCH(D"
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+ }
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+ "sample_formula": "=MID(CELL(\"filename\",A1),FIND(\"]\",CELL(\"filename\",A1))+1,256)"
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+ "surface_sheets": [
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+ "Rep A"
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+ ],
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+ "cross_sheet_actual": true,
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+ "cross_sheet_ref_count": 820,
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+ "referenced_sheets": [
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+ "target_shape": "template_column_fill",
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+ "layer_sizes": [
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+ 20,
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+ 1
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+ "mask_last_total_cells": 31,
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+ "layer_growth_ratios": [
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+ 0.05
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+ "pattern_dominance_ratio": 0.3226,
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+ "visible_clone_regions": 0,
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+ "nearby_visible_clone_regions": 0,
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+ "nearby_visible_clone_rows": 0,
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+ "nearby_visible_clone_ratio": 0.0,
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+ "difficulty_score": 69.1,
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+ "prompt_en": "The \"Rep A\" sheet is part of a rep performance workbook with sections like Results, Activity, Rep, Team, Act Rev, % to Goal, AB Goal, Act AB, and Act Conv. Most of the report is already filled in, but the Rep entries in column D still have blanks that need to be completed.\n\nPlease fill in the missing values in the Rep column on sheet \"Rep A\" at D6, D9, D12, D17, D20, D26, D29, D32, D37, and D40. Some related blank areas in the workbook may need to be in place before these Rep entries make sense, so use the visible sheet labels and existing entries across the workbook to complete the report consistently.\n\nSave the completed workbook as an .xlsx file.",
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+ },
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+ "score": 5,
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+ "reason": "The NL reads like a realistic workplace completion request for a rep performance report. It avoids benchmark jargon and gives practical instructions, including saving the completed workbook."
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+ "total": 27,
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+ "release_tier": "GOLD",
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+ "hard_block_reasons": []
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FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01390/task_meta.json ADDED
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11
+ "qc": {
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+ "verdict": "RELEASE",
14
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+ "D5": 5,
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FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/audit.json ADDED
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+ "prompt_en": "The workbook pairs a game-results log with an All-Time rankings table: the results area uses labels like Year, Week, Away Team, Score, Home Team, and Winner, while the All-Time sheet lists RANK, team names, and the Wins and Losses columns. In the All-Time sheet, please complete the blank entries in the Losses column for the ranked rows, E5:E20. If you notice related blank result fields elsewhere in the workbook, those need to be in place before the All-Time rankings read correctly. Save the completed workbook as an .xlsx file.",
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+ "prompt_cn": "这个工作簿把比赛结果记录和 All-Time 排名表放在一起：结果记录里有 Year、Week、Away Team、Score、Home Team、Winner 等标签，而 All-Time 工作表里列出了 RANK、队伍名称，以及 Wins 和 Losses 两列。请在 All-Time 工作表中补全排名行里 Losses 列的空白项，范围是 E5:E20。如果你看到工作簿其他位置还有相关的比赛结果空白项，也需要先补好，这样 All-Time 排名表才会完整一致。请将完成后的工作簿保存为 .xlsx 文件。",
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+ "binary": true,
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+ "binary_reason": "Well-designed overall: masking is clean, targets are real, GT formulas are coherent, and the dependency chain is reconstructible from visible workbook structure despite being hard.",
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+ "score": 5,
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+ "reason": "All 64 contract cells are truly masked, there are no phantom cells beyond the sheet range, no extra masking outside the contract, and no contract cells left unmasked. Visible All-Time formulas in adjacent columns provide structural clues, but the full task is not trivially copyable because the solver must also reconstruct the masked All-Time (2) Wins/Losses/Rank chain."
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+ "score": 5,
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+ "reason": "The GT formulas are deterministic and consistent with the workbook design: final Losses on All-Time are retrieved from All-Time (2) via INDEX/MATCH using the computed rank column. The prerequisite formulas count wins/losses from the Data sheet and rank teams by wins with tie handling. Cached target values appear consistent with this logic."
11
+ },
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+ "D3": {
13
+ "score": 4,
14
+ "reason": "The NL clearly identifies the final target range, All-Time!E5:E20, and explains the broad workbook purpose. It is somewhat vague about the prerequisite blanks, referring to 'related blank result fields elsewhere' rather than explicitly naming All-Time (2) Wins/Losses/Rank, but the target itself is unambiguous."
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+ },
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+ "D4": {
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+ "score": 4,
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+ "reason": "Using only mask_last.xlsx and the NL, the task is hard but reconstructible. The final All-Time Losses formula pattern can be inferred from visible neighboring All-Time formulas in columns C and D. On All-Time (2), the visible headers Team/Wins/Losses/RANK plus the Data sheet headers Winner, score fields, and team-name data provide enough evidence to infer wins and losses as counts from the game log and rank as an ordering by wins. The main minor gap is that exact source ranges and tie-breaking rank mechanics require careful inference rather than being directly exemplified.",
19
+ "d4_type": "ok"
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+ },
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+ "D5": {
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+ "score": 4,
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+ "reason": "The source workbook appears structurally sound: sheets and ranges are real, formulas are coherent, and automated checks report no chain errors or external-cell problems. Headers are mostly meaningful, though the Data column I header is anonymized as [Person_1], making the loss-count source column less self-documenting."
24
+ },
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+ "D6": {
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+ "score": 5,
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+ "reason": "The NL sounds like a plausible workplace request and avoids benchmark-specific terminology. It describes the workbook domain naturally and asks the user to complete the Losses column."
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+ },
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+ "total": 27,
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+ "verdict": "RELEASE",
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+ "verdict_reason": "High-quality task with clean masking, valid GT, and genuine cross-sheet multi-hop reasoning. The NL could be slightly more explicit about All-Time (2), but the workbook evidence is sufficient and the issue is minor.",
32
+ "frontier_hardness": {
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+ "score": 3,
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+ "reason": "A frontier model would need to reconstruct a three-layer cross-sheet chain involving counts from the Data sheet, ranking logic, and INDEX/MATCH lookup into the final All-Time table. However, the visible headers and adjacent formulas provide substantial clues, so this is challenging but not extremely hard.",
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+ "fail_reason": "cross_sheet_multi_hop",
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+ "is_valid_hardness": true
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+ },
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+ "_prompt_chars": 29953,
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+ "difficulty": "hard",
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+ "depth": 3,
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+ "total_masked": 64,
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+ "is_cross_sheet": true,
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+ "unique_patterns": 4,
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+ "avg_complexity": 8,
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+ "cross_refs": 64,
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+ "visible_exemplar_ratio": 0.059
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+ "task_id": "cross_sheet__dag_417d314c7f36",
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+ "elapsed": 279.4,
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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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+ }
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@@ -0,0 +1,142 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "task_id": "cross_sheet__dag_417d314c7f36",
3
+ "category": "cross_sheet",
4
+ "depth": 3,
5
+ "final_target": {
6
+ "regions": [
7
+ {
8
+ "sheet": "All-Time",
9
+ "column": "E",
10
+ "column_header": "Losses",
11
+ "cell_range": "E5:E20",
12
+ "cell_count": 16,
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+ "rows": [
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+ 5,
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+ 6,
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+ 7,
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+ 8,
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+ 9,
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+ 10,
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+ 11,
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+ 12,
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+ 13,
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+ 14,
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+ 15,
25
+ 16,
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+ 17,
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+ 18,
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+ 19,
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+ 20
30
+ ],
31
+ "first_row_label": "Kelly's Heroes",
32
+ "last_row_label": "[Person_3]"
33
+ }
34
+ ],
35
+ "cell_count": 16,
36
+ "formula_families": [
37
+ "lookup"
38
+ ]
39
+ },
40
+ "prerequisite_steps": [
41
+ {
42
+ "layer": 3,
43
+ "regions": [
44
+ {
45
+ "sheet": "All-Time (2)",
46
+ "column": "D",
47
+ "column_header": "Wins",
48
+ "cell_range": "D5:D20",
49
+ "cell_count": 16,
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+ "rows": [
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+ 5,
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+ 6,
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+ 7,
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+ 8,
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+ 9,
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+ 10,
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+ 11,
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+ 12,
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+ 13,
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+ 14,
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+ 15,
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+ 16,
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+ 17,
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+ 18,
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+ 19,
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+ 20
67
+ ],
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+ "first_row_label": "Carolina Foresters",
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+ "last_row_label": "Titan-ic Mission"
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+ }
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+ ],
72
+ "cell_count": 16
73
+ },
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+ {
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+ "layer": 2,
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+ "regions": [
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+ {
78
+ "sheet": "All-Time (2)",
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+ "column": "E",
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+ "column_header": "Losses",
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+ "cell_range": "E5:E20",
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+ "cell_count": 16,
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+ "rows": [
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+ 5,
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+ 6,
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+ 7,
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+ 8,
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+ 9,
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+ 16,
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+ 17,
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+ 18,
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+ 19,
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+ 20
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+ ],
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+ "first_row_label": "Carolina Foresters",
102
+ "last_row_label": "Titan-ic Mission"
103
+ },
104
+ {
105
+ "sheet": "All-Time (2)",
106
+ "column": "F",
107
+ "column_header": "RANK",
108
+ "cell_range": "F5:F20",
109
+ "cell_count": 16,
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+ "rows": [
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+ 5,
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+ 6,
113
+ 7,
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+ 8,
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+ 9,
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+ 10,
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+ 12,
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+ 14,
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+ 15,
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+ 16,
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+ 17,
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+ 18,
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+ 19,
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+ 20
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+ ],
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+ "first_row_label": "Carolina Foresters",
129
+ "last_row_label": "Titan-ic Mission"
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+ }
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+ ],
132
+ "cell_count": 32
133
+ }
134
+ ],
135
+ "total_prerequisite_cells": 48,
136
+ "total_masked_cells": 64,
137
+ "ratio_total_vs_final": 4.0,
138
+ "sheets_involved": [
139
+ "All-Time",
140
+ "All-Time (2)"
141
+ ]
142
+ }
FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01402/task_meta.json ADDED
@@ -0,0 +1,88 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "fcb_id": "FCB-01402",
3
+ "task_id": "cross_sheet__dag_417d314c7f36",
4
+ "tier": "T2_HARD",
5
+ "category": "cross_sheet",
6
+ "depth": 3,
7
+ "total_masked": 64,
8
+ "is_cross_sheet": true,
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+ "prompt_en": "The workbook pairs a game-results log with an All-Time rankings table: the results area uses labels like Year, Week, Away Team, Score, Home Team, and Winner, while the All-Time sheet lists RANK, team names, and the Wins and Losses columns. In the All-Time sheet, please complete the blank entries in the Losses column for the ranked rows, E5:E20. If you notice related blank result fields elsewhere in the workbook, those need to be in place before the All-Time rankings read correctly. Save the completed workbook as an .xlsx file.",
10
+ "prompt_cn": "这个工作簿把比赛结果记录和 All-Time 排名表放在一起：结果记录里有 Year、Week、Away Team、Score、Home Team、Winner 等标签，而 All-Time 工作表里列出了 RANK、队伍名称，以及 Wins 和 Losses 两列。请在 All-Time 工作表中补全排名行里 Losses 列的空白项，范围是 E5:E20。如果你看到工作簿其他位置还有相关的比赛结果空白项，也需要先补好，这样 All-Time 排名表才会完整一致。请将完成后的工作簿保存为 .xlsx 文件。",
11
+ "qc": {
12
+ "total": 27,
13
+ "verdict": "RELEASE",
14
+ "D1": 5,
15
+ "D2": 5,
16
+ "D3": 4,
17
+ "D4": 4,
18
+ "D5": 4,
19
+ "D6": 5,
20
+ "frontier_hardness": 3,
21
+ "local_difficulty": 79.4
22
+ },
23
+ "source_file_id": "182529d1348516273-adding-up-values-per-team-alltime",
24
+ "inferred_domain": "data_analysis",
25
+ "domain_confidence": 0.5,
26
+ "sheet_profiles": [
27
+ {
28
+ "name": "Data",
29
+ "used_range": "A1:M517",
30
+ "row_count": 517,
31
+ "col_count": 13,
32
+ "has_header": true,
33
+ "title_hint": "Data",
34
+ "header_info": {
35
+ "sheet": "Data",
36
+ "header_row": 1,
37
+ "headers": {
38
+ "A": "#",
39
+ "B": "Year",
40
+ "C": "Week",
41
+ "D": "Away Team",
42
+ "E": "Score",
43
+ "F": "Home Team",
44
+ "G": "Score",
45
+ "H": "Winner",
46
+ "I": "[Person_1]",
47
+ "J": "Win Score",
48
+ "K": "Loss Score",
49
+ "L": "Total Score",
50
+ "M": "Margin"
51
+ }
52
+ }
53
+ },
54
+ {
55
+ "name": "All-Time",
56
+ "used_range": "C4:E20",
57
+ "row_count": 17,
58
+ "col_count": 3,
59
+ "has_header": true,
60
+ "title_hint": "All Time",
61
+ "header_info": {
62
+ "sheet": "All-Time",
63
+ "header_row": 4,
64
+ "headers": {
65
+ "D": "Wins",
66
+ "E": "Losses"
67
+ }
68
+ }
69
+ },
70
+ {
71
+ "name": "All-Time (2)",
72
+ "used_range": "C4:F20",
73
+ "row_count": 17,
74
+ "col_count": 4,
75
+ "has_header": true,
76
+ "title_hint": "All Time (2)",
77
+ "header_info": {
78
+ "sheet": "All-Time (2)",
79
+ "header_row": 4,
80
+ "headers": {
81
+ "D": "Wins",
82
+ "E": "Losses",
83
+ "F": "RANK"
84
+ }
85
+ }
86
+ }
87
+ ]
88
+ }
FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01412/audit.json ADDED
@@ -0,0 +1,452 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "gate": {
3
+ "pre_nl_gate": {
4
+ "gate_label": "GATE_PASS",
5
+ "gate_pass": true,
6
+ "hard_fails": 0,
7
+ "warns": 0,
8
+ "checks": [
9
+ {
10
+ "check": "final_target_gate",
11
+ "pass": true,
12
+ "detail": "final_target has 20 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=71076B, src=141722B"
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=5.0 (total=99, final=20)"
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": "63 unique values across 99 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": "leaked: Beta - Inventory List!N→O(20/20), Beta - Inventory List!P→O(19/20), Beta - Inventory Receipts!O→Beta - Inventory List!O(20/20)"
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
+ "severity": null,
70
+ "detail": "20 lookups"
71
+ },
72
+ {
73
+ "check": "src_chain_integrity",
74
+ "pass": true,
75
+ "severity": "ok",
76
+ "detail": "clean",
77
+ "sub_checks": {
78
+ "error_cells": {
79
+ "pass": true,
80
+ "count": 0,
81
+ "cells": []
82
+ },
83
+ "external_refs": {
84
+ "pass": true,
85
+ "count": 0,
86
+ "cells": []
87
+ },
88
+ "volatile_funcs": {
89
+ "pass": true,
90
+ "count": 0,
91
+ "cells": []
92
+ },
93
+ "missing_sheets": {
94
+ "pass": true,
95
+ "count": 0,
96
+ "sheets": []
97
+ },
98
+ "circular_refs": {
99
+ "pass": true,
100
+ "cycle_cells": []
101
+ }
102
+ }
103
+ },
104
+ {
105
+ "check": "uniqueness_deep",
106
+ "pass": true,
107
+ "severity": "ok",
108
+ "detail": "clean"
109
+ }
110
+ ]
111
+ },
112
+ "post_nl_validate": {
113
+ "validate_label": "SOFT_WARN",
114
+ "validate_pass": true,
115
+ "hard_fails": 0,
116
+ "soft_warns": 2,
117
+ "checks": [
118
+ {
119
+ "check": "cell_range_match",
120
+ "pass": true,
121
+ "detail": "contract=3, prompt=1, missing=0",
122
+ "missing_ranges": [],
123
+ "severity": "OK"
124
+ },
125
+ {
126
+ "check": "cell_count_match",
127
+ "pass": true,
128
+ "detail": "no explicit total found; skipping (natural format)",
129
+ "severity": "OK"
130
+ },
131
+ {
132
+ "check": "step_count_match",
133
+ "pass": true,
134
+ "detail": "contract=2, no explicit steps found (v5 natural format)",
135
+ "severity": "OK"
136
+ },
137
+ {
138
+ "check": "sheet_name_match",
139
+ "pass": false,
140
+ "detail": "contract=['Beta - Inventory List', 'Master List'], missing=['Master List']",
141
+ "severity": "INFO"
142
+ },
143
+ {
144
+ "check": "no_formula_leak",
145
+ "pass": true,
146
+ "detail": "0 formula leaks",
147
+ "severity": "OK"
148
+ },
149
+ {
150
+ "check": "no_value_leak",
151
+ "pass": true,
152
+ "detail": "0 value leaks out of 20 GT cells",
153
+ "severity": "OK"
154
+ },
155
+ {
156
+ "check": "final_target_first",
157
+ "pass": true,
158
+ "detail": "no explicit final target marker (natural format)",
159
+ "severity": "OK"
160
+ },
161
+ {
162
+ "check": "output_format",
163
+ "pass": true,
164
+ "detail": "output format found",
165
+ "severity": "OK"
166
+ },
167
+ {
168
+ "check": "header_in_prompt",
169
+ "pass": true,
170
+ "detail": "no column headers found in prompt",
171
+ "severity": "OK"
172
+ },
173
+ {
174
+ "check": "hint_specificity",
175
+ "pass": true,
176
+ "detail": "clean",
177
+ "severity": "OK"
178
+ },
179
+ {
180
+ "check": "evidence_scope",
181
+ "pass": false,
182
+ "detail": "referenced=2 mentioned=1 missing=1 [Master List]",
183
+ "severity": "SOFT_WARN"
184
+ },
185
+ {
186
+ "check": "exemplar_consistency",
187
+ "pass": true,
188
+ "severity": "OK",
189
+ "detail": "checked 3 col groups"
190
+ },
191
+ {
192
+ "check": "nl_gt_operation_consistency",
193
+ "pass": false,
194
+ "detail": "GT funcs: ['IFERROR', 'INDEX', 'LEFT', 'MATCH']; MISMATCHES: GT uses INDEX but NL doesn't mention any of: find, index, look up, lookup; GT uses MATCH but NL doesn't mention any of: find, match, position",
195
+ "severity": "SOFT_WARN"
196
+ },
197
+ {
198
+ "check": "unmatched_default_rule",
199
+ "pass": true,
200
+ "detail": "no default-rule phrase found in NL",
201
+ "severity": "OK"
202
+ },
203
+ {
204
+ "check": "volatile_function_freeze",
205
+ "pass": true,
206
+ "detail": "volatile_cells=0",
207
+ "severity": "OK"
208
+ },
209
+ {
210
+ "check": "direct_answer_leakage",
211
+ "pass": true,
212
+ "detail": "0 leaks out of 99 GT cells (0%)",
213
+ "severity": "OK"
214
+ }
215
+ ]
216
+ },
217
+ "pre_nl_local": {
218
+ "local_total": 58,
219
+ "local_label": "PENDING_NL",
220
+ "hard_fail_flags": [],
221
+ "warnings": [
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": 99,
239
+ "total_non_none": 99,
240
+ "block_reasons": [],
241
+ "warnings": [
242
+ "mixed_gt_types:{'str': 51, 'int': 48}"
243
+ ],
244
+ "checks": {
245
+ "rank_tie_risk": {
246
+ "rank_cells": 0,
247
+ "tie_issues": 0,
248
+ "details": []
249
+ },
250
+ "trivial_gt": {
251
+ "issues": []
252
+ },
253
+ "gt_type_consistency": {
254
+ "types": {
255
+ "str": 51,
256
+ "int": 48
257
+ },
258
+ "mixed": true
259
+ },
260
+ "empty_gt": {
261
+ "count": 0,
262
+ "details": []
263
+ }
264
+ }
265
+ },
266
+ "src_chain": {
267
+ "hard_block": false,
268
+ "block_reasons": [],
269
+ "checks": {
270
+ "error_cells": {
271
+ "pass": true,
272
+ "count": 0,
273
+ "cells": []
274
+ },
275
+ "external_refs": {
276
+ "pass": true,
277
+ "count": 0,
278
+ "cells": []
279
+ },
280
+ "volatile_funcs": {
281
+ "pass": true,
282
+ "count": 0,
283
+ "cells": []
284
+ },
285
+ "missing_sheets": {
286
+ "pass": true,
287
+ "count": 0,
288
+ "sheets": []
289
+ },
290
+ "circular_refs": {
291
+ "pass": true,
292
+ "cycle_cells": []
293
+ }
294
+ },
295
+ "required_chain_scope": {
296
+ "external_ref_in_required_chain": 0,
297
+ "external_ref_in_other": 0,
298
+ "error_cells_in_required_chain": 0,
299
+ "error_cells_in_other": 0,
300
+ "required_chain_cells": 99
301
+ }
302
+ },
303
+ "solver_visibility": {
304
+ "contract_cells": 99,
305
+ "total_masked": 99,
306
+ "total_visible": 14751,
307
+ "depth": 3,
308
+ "block_reasons": [],
309
+ "warnings": [],
310
+ "checks": {
311
+ "broken_chains": {
312
+ "count": 0,
313
+ "checked": 99,
314
+ "details": []
315
+ },
316
+ "orphan_masks": {
317
+ "count": 0,
318
+ "details": []
319
+ },
320
+ "self_contained": {
321
+ "missing_sheets": []
322
+ }
323
+ }
324
+ },
325
+ "exemplar": {
326
+ "soft_block": true,
327
+ "block_reasons": [
328
+ "zero_exemplar:3_patterns"
329
+ ],
330
+ "checks": {
331
+ "pattern_coverage": {
332
+ "pass": false,
333
+ "total_gt_patterns": 4,
334
+ "total_src_patterns": 4,
335
+ "zero_exemplar_count": 3,
336
+ "low_exemplar_count": 0
337
+ },
338
+ "zero_exemplar_patterns": {
339
+ "pass": false,
340
+ "patterns": [
341
+ {
342
+ "pattern": "=REF",
343
+ "total_in_src": 20,
344
+ "sample_formula": "=C9"
345
+ },
346
+ {
347
+ "pattern": "=REF+1",
348
+ "total_in_src": 19,
349
+ "sample_formula": "=C10+1"
350
+ },
351
+ {
352
+ "pattern": "=LEFT(REF,1)&\"-\"&REF",
353
+ "total_in_src": 40,
354
+ "sample_formula": "=LEFT(B9,1)&\"-\"&C9"
355
+ }
356
+ ]
357
+ },
358
+ "low_exemplar_patterns": {
359
+ "pass": true,
360
+ "patterns": []
361
+ },
362
+ "func_coverage": {
363
+ "arithmetic": {
364
+ "total_masked": 19,
365
+ "visible_exemplars": 0
366
+ },
367
+ "LEFT": {
368
+ "total_masked": 40,
369
+ "visible_exemplars": 0
370
+ },
371
+ "IFERROR": {
372
+ "total_masked": 20,
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