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  1. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00033/audit.json +468 -0
  2. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00033/ground_truth_full.json +974 -0
  3. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00033/ground_truth_target.json +106 -0
  4. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00033/layers.json +1657 -0
  5. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00033/nl_task.json +26 -0
  6. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00033/release_qc.json +58 -0
  7. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00033/target_contract.json +818 -0
  8. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00033/task_meta.json +37 -0
  9. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00035/audit.json +545 -0
  10. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00035/ground_truth_full.json +749 -0
  11. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00035/ground_truth_target.json +50 -0
  12. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00035/layers.json +645 -0
  13. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00035/mask_last.xlsx +0 -0
  14. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00035/nl_task.json +26 -0
  15. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00035/release_qc.json +58 -0
  16. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00035/src.xlsx +0 -0
  17. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00035/target_contract.json +523 -0
  18. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00035/task_meta.json +46 -0
  19. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00040/audit.json +524 -0
  20. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00040/ground_truth_full.json +695 -0
  21. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00040/ground_truth_target.json +50 -0
  22. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00040/layers.json +597 -0
  23. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00040/mask_last.xlsx +0 -0
  24. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00040/nl_task.json +26 -0
  25. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00040/release_qc.json +58 -0
  26. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00040/src.xlsx +0 -0
  27. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00040/target_contract.json +483 -0
  28. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00040/task_meta.json +46 -0
  29. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00045/audit.json +458 -0
  30. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00045/ground_truth_full.json +812 -0
  31. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00045/ground_truth_target.json +106 -0
  32. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00045/layers.json +1352 -0
  33. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00045/nl_task.json +26 -0
  34. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00045/release_qc.json +58 -0
  35. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00045/target_contract.json +671 -0
  36. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00045/task_meta.json +37 -0
  37. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00071/audit.json +440 -0
  38. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00071/ground_truth_full.json +488 -0
  39. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00071/ground_truth_target.json +106 -0
  40. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00071/layers.json +749 -0
  41. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00071/nl_task.json +26 -0
  42. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00071/release_qc.json +58 -0
  43. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00071/target_contract.json +383 -0
  44. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00071/task_meta.json +37 -0
  45. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00075/layers.json +269 -0
  46. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00075/mask_last.xlsx +0 -0
  47. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00075/nl_task.json +26 -0
  48. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00075/release_qc.json +58 -0
  49. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00075/src.xlsx +0 -0
  50. FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00075/task_meta.json +57 -0
FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00033/audit.json ADDED
@@ -0,0 +1,468 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 13 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=175750B, src=212945B"
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=8.3 (total=108, final=13) [WARN: high mask ratio]"
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": "28 unique values across 107 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: Historical Data (2)!U→V(1/2), Historical Data (2)!W→V(2/2), Historical Data (2)!V→W(2/2), Historical Data (2)!X→W(1/2), Historical Data (2)!W→X(1/2)"
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": "13 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": false,
121
+ "detail": "contract=49, prompt=1, missing=42",
122
+ "missing_ranges": [
123
+ "AA2:AA3",
124
+ "AB2:AB3",
125
+ "AC2:AC3",
126
+ "AD2:AD3",
127
+ "AE2:AE3",
128
+ "AF2:AF3",
129
+ "AG2:AG3",
130
+ "AH2:AH3",
131
+ "AI2:AI3",
132
+ "AJ2:AJ3"
133
+ ],
134
+ "severity": "SOFT_WARN"
135
+ },
136
+ {
137
+ "check": "cell_count_match",
138
+ "pass": true,
139
+ "detail": "no explicit total found; skipping (natural format)",
140
+ "severity": "OK"
141
+ },
142
+ {
143
+ "check": "step_count_match",
144
+ "pass": true,
145
+ "detail": "contract=25, no explicit steps found (v5 natural format)",
146
+ "severity": "OK"
147
+ },
148
+ {
149
+ "check": "sheet_name_match",
150
+ "pass": true,
151
+ "detail": "contract=['Historical Data (2)'], missing=[]",
152
+ "severity": "OK"
153
+ },
154
+ {
155
+ "check": "no_formula_leak",
156
+ "pass": true,
157
+ "detail": "0 formula leaks",
158
+ "severity": "OK"
159
+ },
160
+ {
161
+ "check": "no_value_leak",
162
+ "pass": true,
163
+ "detail": "0 value leaks out of 13 GT cells",
164
+ "severity": "OK"
165
+ },
166
+ {
167
+ "check": "final_target_first",
168
+ "pass": true,
169
+ "detail": "no explicit final target marker (natural format)",
170
+ "severity": "OK"
171
+ },
172
+ {
173
+ "check": "output_format",
174
+ "pass": true,
175
+ "detail": "output format found",
176
+ "severity": "OK"
177
+ },
178
+ {
179
+ "check": "header_in_prompt",
180
+ "pass": true,
181
+ "detail": "no column headers found in prompt",
182
+ "severity": "OK"
183
+ },
184
+ {
185
+ "check": "hint_specificity",
186
+ "pass": true,
187
+ "detail": "clean",
188
+ "severity": "OK"
189
+ },
190
+ {
191
+ "check": "evidence_scope",
192
+ "pass": true,
193
+ "detail": "no cross-sheet refs in GT",
194
+ "severity": "OK"
195
+ },
196
+ {
197
+ "check": "exemplar_consistency",
198
+ "pass": true,
199
+ "severity": "OK",
200
+ "detail": "checked 47 col groups; CONFLICTS: Historical Data (2)!BO5: visible='=TEXT(DATE(BO3,BO2,1),\"MMMM\")&' vs GT pattern='=IFERROR(VLOOKUP(BO$#,$A:$O,MA'; Historical Data (2)!BP4: visible='=IF(BP2=BQ2,_xlfn.MINIFS($A:$A' vs GT pattern='=IF(BP#=#,BN#+#,BN#)'"
201
+ },
202
+ {
203
+ "check": "nl_gt_operation_consistency",
204
+ "pass": false,
205
+ "detail": "GT funcs: ['DATE', 'IF', 'IFERROR', 'MATCH', 'VLOOKUP', 'XLFN.MAXIFS', 'XLFN.MINIFS']; MISMATCHES: GT uses VLOOKUP but NL doesn't mention any of: find, look up, lookup, match; GT uses MATCH but NL doesn't mention any of: find, match, position",
206
+ "severity": "SOFT_WARN"
207
+ },
208
+ {
209
+ "check": "unmatched_default_rule",
210
+ "pass": true,
211
+ "detail": "no default-rule phrase found in NL",
212
+ "severity": "OK"
213
+ },
214
+ {
215
+ "check": "volatile_function_freeze",
216
+ "pass": true,
217
+ "detail": "volatile_cells=0",
218
+ "severity": "OK"
219
+ },
220
+ {
221
+ "check": "direct_answer_leakage",
222
+ "pass": true,
223
+ "detail": "0 leaks out of 108 GT cells (0%)",
224
+ "severity": "OK"
225
+ }
226
+ ]
227
+ },
228
+ "pre_nl_local": {
229
+ "local_total": 58,
230
+ "local_label": "PENDING_NL",
231
+ "hard_fail_flags": [],
232
+ "warnings": [
233
+ "nl_missing"
234
+ ],
235
+ "local_subscores": {
236
+ "family_clean": 25,
237
+ "target_integrity": 15,
238
+ "taxonomy": 10,
239
+ "semantic_signal": 8,
240
+ "nl_schema": 0,
241
+ "target_alignment": 0,
242
+ "business_specificity": 0,
243
+ "nl_risk": 0
244
+ }
245
+ }
246
+ },
247
+ "verify": {
248
+ "uniqueness": {
249
+ "total_gt_cells": 108,
250
+ "total_non_none": 108,
251
+ "block_reasons": [],
252
+ "warnings": [
253
+ "mixed_gt_types:{'int': 94, 'float': 13, 'str': 1}"
254
+ ],
255
+ "checks": {
256
+ "rank_tie_risk": {
257
+ "rank_cells": 0,
258
+ "tie_issues": 0,
259
+ "details": []
260
+ },
261
+ "trivial_gt": {
262
+ "issues": []
263
+ },
264
+ "gt_type_consistency": {
265
+ "types": {
266
+ "int": 94,
267
+ "float": 13,
268
+ "str": 1
269
+ },
270
+ "mixed": true
271
+ },
272
+ "empty_gt": {
273
+ "count": 0,
274
+ "details": []
275
+ }
276
+ }
277
+ },
278
+ "src_chain": {
279
+ "hard_block": false,
280
+ "block_reasons": [],
281
+ "checks": {
282
+ "error_cells": {
283
+ "pass": true,
284
+ "count": 0,
285
+ "cells": []
286
+ },
287
+ "external_refs": {
288
+ "pass": true,
289
+ "count": 0,
290
+ "cells": []
291
+ },
292
+ "volatile_funcs": {
293
+ "pass": true,
294
+ "count": 0,
295
+ "cells": []
296
+ },
297
+ "missing_sheets": {
298
+ "pass": true,
299
+ "count": 0,
300
+ "sheets": []
301
+ },
302
+ "circular_refs": {
303
+ "pass": true,
304
+ "cycle_cells": []
305
+ }
306
+ },
307
+ "required_chain_scope": {
308
+ "external_ref_in_required_chain": 0,
309
+ "external_ref_in_other": 0,
310
+ "error_cells_in_required_chain": 0,
311
+ "error_cells_in_other": 0,
312
+ "required_chain_cells": 108
313
+ }
314
+ },
315
+ "solver_visibility": {
316
+ "contract_cells": 108,
317
+ "total_masked": 108,
318
+ "total_visible": 13970,
319
+ "depth": 26,
320
+ "block_reasons": [],
321
+ "warnings": [],
322
+ "checks": {
323
+ "broken_chains": {
324
+ "count": 0,
325
+ "checked": 108,
326
+ "details": []
327
+ },
328
+ "orphan_masks": {
329
+ "count": 0,
330
+ "details": []
331
+ },
332
+ "self_contained": {
333
+ "missing_sheets": []
334
+ }
335
+ }
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+ },
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+ "exemplar": {
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+ "soft_block": false,
339
+ "block_reasons": [],
340
+ "checks": {
341
+ "pattern_coverage": {
342
+ "pass": true,
343
+ "total_gt_patterns": 4,
344
+ "total_src_patterns": 15,
345
+ "zero_exemplar_count": 0,
346
+ "low_exemplar_count": 0
347
+ },
348
+ "zero_exemplar_patterns": {
349
+ "pass": true,
350
+ "patterns": []
351
+ },
352
+ "low_exemplar_patterns": {
353
+ "pass": true,
354
+ "patterns": []
355
+ },
356
+ "func_coverage": {
357
+ "IF": {
358
+ "total_masked": 95,
359
+ "visible_exemplars": 224
360
+ },
361
+ "IFERROR": {
362
+ "total_masked": 13,
363
+ "visible_exemplars": 1147
364
+ }
365
+ }
366
+ }
367
+ },
368
+ "shortcut": {
369
+ "shortcut_risk": 0.0,
370
+ "flags": []
371
+ },
372
+ "release_audit": {
373
+ "surface_single_sheet": true,
374
+ "surface_sheets": [
375
+ "Historical Data (2)"
376
+ ],
377
+ "cross_sheet_actual": false,
378
+ "cross_sheet_ref_count": 0,
379
+ "referenced_sheets": [],
380
+ "target_shape": "single_column_series",
381
+ "layer_sizes": [
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+ 13,
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+ 1,
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+ 4,
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+ 4,
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+ 4,
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+ 4,
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+ 4,
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+ 4,
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+ 4,
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+ 4,
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+ 4,
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+ 4,
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+ 4,
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+ 4,
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+ 4,
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+ 4,
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+ 4,
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+ 2
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+ ],
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+ "mask_last_total_cells": 108,
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+ "layer_growth_ratios": [
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+ 0.0769,
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+ 4.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 0.5
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+ ],
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+ "pattern_dominance_ratio": 0.4352,
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+ "visible_clone_regions": 114,
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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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+ "promptability_score": 1.0,
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+ "release_reasons": [],
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+ "release_verdict": "KEEP"
445
+ }
446
+ },
447
+ "difficulty": {
448
+ "task_id": "single_sheet__dag_167dffee72a6",
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+ "difficulty_score": 77.8,
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+ "difficulty": "hard",
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+ "depth": 26,
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+ "total_masked": 108,
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+ "is_cross_sheet": false,
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+ "unique_patterns": 96,
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+ "avg_complexity": 18.0,
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+ "prompt_en": "The Historical Data (2) sheet is tracking adjusted closing prices by Date for stocks such as GOOG, TSLA, and WMT, and the December_2021_V2 column is still missing entries. Please fill in the blank values in the December_2021_V2 column, specifically BO6:BO18. If any related monthly fields in the sheet need to be in place first for that column to make sense, complete those as well using the visible structure of the workbook. Please save the completed file as an .xlsx workbook.",
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+ "prompt_cn": "“Historical Data (2)”工作表按 Date 记录了 GOOG、TSLA、WMT 等股票的调整后收盘价,其中 December_2021_V2 这一列还有空白项。请补全 December_2021_V2 列中的空白值,位置是 BO6:BO18。如果表中还有相关的月度字段需要先补齐,才能让这一列内容完整,也请根据工作簿中可见的结构一并补好。请将完成后的文件保存为 .xlsx 工作簿。",
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+ {
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+ "binary": true,
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+ "reason": "All 108 contract cells are truly masked, no extra masking outside contract, and no phantom/out-of-range references in the contract. Leakage is limited to structural exemplars rather than trivial copyability: the solver can see later unmasked month/year/date/header patterns and many neighboring VLOOKUP formulas, but still must reconstruct a long leftward chain and infer BO4 from masked prerequisites."
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+ },
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+ "reason": "GT formulas for BO6:BO18 match the visible repeated pattern in src and are consistent with cached numeric values. They are deterministic IFERROR(VLOOKUP(...MATCH(...))) formulas keyed by BO4 and company labels in column Q."
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+ },
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+ },
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+ "reason": "Using only mask_last.xlsx, the root evidence is mostly visible. The solver can see unmasked later columns showing the exact month/year progression logic in rows 2-3, date-boundary logic in row 4, header naming in row 5, and the target-row VLOOKUP pattern in many neighboring columns. BO4 is masked, but adjacent visible dates/headers plus visible later month/year anchors (e.g. BQ/BR) allow reconstruction of the entire chain back to December_2021_V2. This is very deep and tedious, but the rule system is exposed.",
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+ "d4_type": "ok"
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+ "D5": {
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+ "score": 5,
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+ "reason": "Source workbook appears internally consistent: no chain errors, no external refs, no extra sheets involved, headers are meaningful, and formulas follow a coherent monthly rolling-window design. No corruption or circularity is evident from the provided audit context."
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+ },
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+ "score": 4,
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+ "reason": "The NL request sounds reasonably workplace-natural ('fill in missing entries' on a historical stock sheet), though slightly benchmark-like in its explicit cell coordinates and save instruction."
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+ },
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+ "total": 27,
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+ "verdict": "RELEASE",
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+ "verdict_reason": "High-quality single-sheet chain-masking task: clean masking, correct GT, good source quality, and solvable from visible structural evidence despite high depth.",
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+ "reason": "A frontier model would likely struggle because the task requires reconstructing a 26-layer sequential chain across month/year/date/header logic before the final VLOOKUP targets can be filled. The rules are visible, so this is genuine difficulty rather than missing evidence, but the chain is long and pattern-rich enough to induce errors.",
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+ "fail_reason": "deep_chain",
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+ "is_valid_hardness": true
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+ "release_tier": "FRONTIER_HARD",
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+ "hard_block_reasons": []
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179
+ "check": "header_in_prompt",
180
+ "pass": true,
181
+ "detail": "no column headers found in prompt",
182
+ "severity": "OK"
183
+ },
184
+ {
185
+ "check": "hint_specificity",
186
+ "pass": true,
187
+ "detail": "clean",
188
+ "severity": "OK"
189
+ },
190
+ {
191
+ "check": "evidence_scope",
192
+ "pass": false,
193
+ "detail": "referenced=1 mentioned=0 missing=1 [Sheet2]",
194
+ "severity": "SOFT_WARN"
195
+ },
196
+ {
197
+ "check": "exemplar_consistency",
198
+ "pass": true,
199
+ "severity": "OK",
200
+ "detail": "checked 13 col groups; CONFLICTS: Sheet1!M5: visible='=VLOOKUP(M14,Sheet2!$A:$B,2,0)' vs GT pattern='=L#+#'; Sheet1!M6: visible='=VLOOKUP(M15,Sheet2!$A:$B,2,0)' vs GT pattern='=L#+#'"
201
+ },
202
+ {
203
+ "check": "nl_gt_operation_consistency",
204
+ "pass": false,
205
+ "detail": "GT funcs: ['VLOOKUP']; MISMATCHES: GT uses VLOOKUP but NL doesn't mention any of: find, look up, lookup, match; GT has cross-sheet references but NL doesn't mention other sheets or lookup",
206
+ "severity": "SOFT_WARN"
207
+ },
208
+ {
209
+ "check": "unmatched_default_rule",
210
+ "pass": true,
211
+ "detail": "no default-rule phrase found in NL",
212
+ "severity": "OK"
213
+ },
214
+ {
215
+ "check": "volatile_function_freeze",
216
+ "pass": true,
217
+ "detail": "volatile_cells=0",
218
+ "severity": "OK"
219
+ },
220
+ {
221
+ "check": "direct_answer_leakage",
222
+ "pass": true,
223
+ "detail": "0 leaks out of 83 GT cells (0%)",
224
+ "severity": "OK"
225
+ }
226
+ ]
227
+ },
228
+ "pre_nl_local": {
229
+ "local_total": 51,
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+ "local_label": "PENDING_NL",
231
+ "hard_fail_flags": [],
232
+ "warnings": [
233
+ "cross_sheet_formula_detected_but_metadata_false",
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+ "nl_missing"
235
+ ],
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+ "local_subscores": {
237
+ "family_clean": 25,
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+ "target_integrity": 15,
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+ "taxonomy": 3,
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+ "semantic_signal": 8,
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+ "nl_schema": 0,
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+ "target_alignment": 0,
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+ "business_specificity": 0,
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+ "nl_risk": 0
245
+ }
246
+ }
247
+ },
248
+ "verify": {
249
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251
+ "total_non_none": 83,
252
+ "block_reasons": [],
253
+ "warnings": [
254
+ "mixed_gt_types:{'int': 77, 'str': 6}"
255
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+ "checks": {
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+ "rank_cells": 0,
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+ "trivial_gt": {
263
+ "issues": []
264
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+ "gt_type_consistency": {
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+ "types": {
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+ "int": 77,
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+ "str": 6
269
+ },
270
+ "mixed": true
271
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+ "empty_gt": {
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+ "count": 0,
274
+ "details": []
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+ }
276
+ }
277
+ },
278
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279
+ "hard_block": false,
280
+ "block_reasons": [],
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+ "checks": {
282
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283
+ "pass": true,
284
+ "count": 0,
285
+ "cells": []
286
+ },
287
+ "external_refs": {
288
+ "pass": true,
289
+ "count": 0,
290
+ "cells": []
291
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292
+ "volatile_funcs": {
293
+ "pass": true,
294
+ "count": 0,
295
+ "cells": []
296
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297
+ "missing_sheets": {
298
+ "pass": true,
299
+ "count": 0,
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+ "sheets": []
301
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+ "cycle_cells": []
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306
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+ "required_chain_cells": 83
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315
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+ "contract_cells": 83,
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+ "depth": 25,
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+ "block_reasons": [],
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323
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324
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325
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327
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328
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329
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330
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331
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+ "total_gt_patterns": 2,
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+ "severity": "medium"
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+ },
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+ {
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+ "code": "SC2",
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+ "description": "Arithmetic sequence in Sheet1!L: step=1",
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+ "affected_cells": 5,
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+ "severity": "medium"
388
+ },
389
+ {
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+ "code": "SC2",
391
+ "description": "Arithmetic sequence in Sheet1!K: step=1",
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+ "affected_cells": 5,
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+ "severity": "medium"
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+ },
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+ {
396
+ "code": "SC2",
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+ "description": "Arithmetic sequence in Sheet1!J: step=1",
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+ "affected_cells": 5,
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+ "severity": "medium"
400
+ },
401
+ {
402
+ "code": "SC2",
403
+ "description": "Arithmetic sequence in Sheet1!I: step=1",
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+ "affected_cells": 5,
405
+ "severity": "medium"
406
+ },
407
+ {
408
+ "code": "SC2",
409
+ "description": "Arithmetic sequence in Sheet1!H: step=1",
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+ "affected_cells": 5,
411
+ "severity": "medium"
412
+ },
413
+ {
414
+ "code": "SC2",
415
+ "description": "Arithmetic sequence in Sheet1!G: step=1",
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+ "affected_cells": 5,
417
+ "severity": "medium"
418
+ },
419
+ {
420
+ "code": "SC2",
421
+ "description": "Arithmetic sequence in Sheet1!F: step=1",
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+ "affected_cells": 5,
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+ "severity": "medium"
424
+ },
425
+ {
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+ "code": "SC2",
427
+ "description": "Arithmetic sequence in Sheet1!E: step=1",
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+ "affected_cells": 5,
429
+ "severity": "medium"
430
+ },
431
+ {
432
+ "code": "SC2",
433
+ "description": "Arithmetic sequence in Sheet1!D: step=1",
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+ "affected_cells": 5,
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+ "severity": "medium"
436
+ },
437
+ {
438
+ "code": "SC2",
439
+ "description": "Arithmetic sequence in Sheet1!C: step=1",
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+ "affected_cells": 5,
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+ "severity": "medium"
442
+ },
443
+ {
444
+ "code": "SC2",
445
+ "description": "Arithmetic sequence in Sheet1!B: step=1",
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+ "affected_cells": 5,
447
+ "severity": "medium"
448
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449
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450
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514
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+ "release_reasons": [],
521
+ "release_verdict": "KEEP"
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523
+ },
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+ "difficulty": {
525
+ "task_id": "single_sheet__dag_4206841abd7c",
526
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527
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528
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530
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533
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534
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539
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542
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544
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+ }
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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00035/mask_last.xlsx ADDED
Binary file (10 kB). View file
 
FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00035/nl_task.json ADDED
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+ "prompt_cn": "Sheet1 是一张运营用的房间跟踪表,行里有 Name,列里有 Week 1、Week 2、Week 3、Week 4 等周次字段,以及 R1 到 R5 这样的房间标签。请补全 Week 13 列中第 5 行到第 10 行的空白项,也就是 N5:N10。表里有些其他空白的周次字段可能需要先补好,这样 Week 13 的内容才会和整张表保持一致。完成后,请将工作簿保存为 .xlsx 文件。",
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+ "quality_notes": "The prompt names the sheet, visible headers, target column, and range while avoiding formulas, calculation language, and any operational hints. It includes the prerequisite context only in a natural, non-specific way.",
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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00035/release_qc.json ADDED
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+ {
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+ "score": 5,
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+ "reason": "All 83 contract cells are real cells within Sheet1's data range, all were truly masked, no contract cells were missed, and there is no extra masking outside the contract. Visible same-pattern exemplars exist, especially in adjacent columns, but they do not make the whole task zero-reasoning because the helper sequence N14:N19 and upstream blanks must still be reconstructed."
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+ },
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+ "reason": "The layer-1 GT formulas use consistent VLOOKUP references from N14:N19 into Sheet2 and match the cached outputs R3, R4, R5, R1, R2, R3. The formulas are deterministic and consistent with the source workbook's pattern."
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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 final cells to complete, N5:N10 in Week 13, and indicates that other blanks may be needed first. It is somewhat vague about the helper rows and lookup table, but not contradictory or incomprehensible."
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+ "reason": "The source spreadsheet appears internally sound: formulas are regular, deterministic, and non-circular; Sheet2 supplies the lookup mapping; headers and weekly layout are consistent; and no corrupted or broken source values are evident."
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+ "hard_fails": 0,
7
+ "warns": 0,
8
+ "checks": [
9
+ {
10
+ "check": "final_target_gate",
11
+ "pass": true,
12
+ "detail": "final_target has 6 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=10061B, src=16403B"
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=12.8 (total=77, final=6) [WARN: high mask ratio]"
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": "66 unique values across 67 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
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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
+ "severity": null,
70
+ "detail": "6 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=23, prompt=6, 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=22, no explicit steps found (v5 natural format)",
135
+ "severity": "OK"
136
+ },
137
+ {
138
+ "check": "sheet_name_match",
139
+ "pass": true,
140
+ "detail": "contract=['Sheet1'], missing=[]",
141
+ "severity": "OK"
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 6 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=1 mentioned=0 missing=1 [Sheet2]",
183
+ "severity": "SOFT_WARN"
184
+ },
185
+ {
186
+ "check": "exemplar_consistency",
187
+ "pass": true,
188
+ "severity": "OK",
189
+ "detail": "checked 12 col groups; CONFLICTS: Sheet1!L5: visible='=VLOOKUP(L14,Sheet2!$A:$B,2,0)' vs GT pattern='=K#+#'; Sheet1!L6: visible='=VLOOKUP(L15,Sheet2!$A:$B,2,0)' vs GT pattern='=K#+#'"
190
+ },
191
+ {
192
+ "check": "nl_gt_operation_consistency",
193
+ "pass": false,
194
+ "detail": "GT funcs: ['VLOOKUP']; MISMATCHES: GT uses VLOOKUP but NL doesn't mention any of: find, look up, lookup, match; GT has cross-sheet references but NL doesn't mention other sheets or lookup",
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
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213
+ "severity": "OK"
214
+ }
215
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216
+ },
217
+ "pre_nl_local": {
218
+ "local_total": 51,
219
+ "local_label": "PENDING_NL",
220
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221
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224
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225
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233
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234
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235
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236
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242
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243
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245
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248
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250
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251
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252
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253
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254
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255
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256
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257
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259
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260
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261
+ "empty_gt": {
262
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263
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264
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265
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266
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267
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268
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269
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270
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271
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272
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273
+ "count": 0,
274
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275
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278
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279
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FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00045/audit.json ADDED
@@ -0,0 +1,458 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 13 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=176090B, src=212945B"
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=6.9 (total=90, final=13)"
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": "27 unique values across 89 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: Historical Data (2)!U→V(1/2), Historical Data (2)!W→V(2/2), Historical Data (2)!V→W(2/2), Historical Data (2)!X→W(1/2), Historical Data (2)!W→X(1/2)"
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": "13 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": false,
121
+ "detail": "contract=40, prompt=1, missing=33",
122
+ "missing_ranges": [
123
+ "AA2:AA3",
124
+ "AB2:AB3",
125
+ "AC2:AC3",
126
+ "AD2:AD3",
127
+ "AE2:AE3",
128
+ "AF2:AF3",
129
+ "AG2:AG3",
130
+ "AH2:AH3",
131
+ "AI2:AI3",
132
+ "AJ2:AJ3"
133
+ ],
134
+ "severity": "SOFT_WARN"
135
+ },
136
+ {
137
+ "check": "cell_count_match",
138
+ "pass": true,
139
+ "detail": "no explicit total found; skipping (natural format)",
140
+ "severity": "OK"
141
+ },
142
+ {
143
+ "check": "step_count_match",
144
+ "pass": true,
145
+ "detail": "contract=20, no explicit steps found (v5 natural format)",
146
+ "severity": "OK"
147
+ },
148
+ {
149
+ "check": "sheet_name_match",
150
+ "pass": true,
151
+ "detail": "contract=['Historical Data (2)'], missing=[]",
152
+ "severity": "OK"
153
+ },
154
+ {
155
+ "check": "no_formula_leak",
156
+ "pass": true,
157
+ "detail": "0 formula leaks",
158
+ "severity": "OK"
159
+ },
160
+ {
161
+ "check": "no_value_leak",
162
+ "pass": true,
163
+ "detail": "0 value leaks out of 13 GT cells",
164
+ "severity": "OK"
165
+ },
166
+ {
167
+ "check": "final_target_first",
168
+ "pass": true,
169
+ "detail": "no explicit final target marker (natural format)",
170
+ "severity": "OK"
171
+ },
172
+ {
173
+ "check": "output_format",
174
+ "pass": true,
175
+ "detail": "output format found",
176
+ "severity": "OK"
177
+ },
178
+ {
179
+ "check": "header_in_prompt",
180
+ "pass": true,
181
+ "detail": "no column headers found in prompt",
182
+ "severity": "OK"
183
+ },
184
+ {
185
+ "check": "hint_specificity",
186
+ "pass": true,
187
+ "detail": "clean",
188
+ "severity": "OK"
189
+ },
190
+ {
191
+ "check": "evidence_scope",
192
+ "pass": true,
193
+ "detail": "no cross-sheet refs in GT",
194
+ "severity": "OK"
195
+ },
196
+ {
197
+ "check": "exemplar_consistency",
198
+ "pass": true,
199
+ "severity": "OK",
200
+ "detail": "checked 38 col groups; CONFLICTS: Historical Data (2)!BF5: visible='=TEXT(DATE(BF3,BF2,1),\"MMMM\")&' vs GT pattern='=IFERROR(VLOOKUP(BF$#,$A:$O,MA'; Historical Data (2)!BG4: visible='=IF(BG2=BH2,_xlfn.MINIFS($A:$A' vs GT pattern='=IF(BG#=#,BE#+#,BE#)'"
201
+ },
202
+ {
203
+ "check": "nl_gt_operation_consistency",
204
+ "pass": false,
205
+ "detail": "GT funcs: ['DATE', 'IF', 'IFERROR', 'MATCH', 'VLOOKUP', 'XLFN.MAXIFS', 'XLFN.MINIFS']; MISMATCHES: GT uses VLOOKUP but NL doesn't mention any of: find, look up, lookup, match; GT uses MATCH but NL doesn't mention any of: find, match, position",
206
+ "severity": "SOFT_WARN"
207
+ },
208
+ {
209
+ "check": "unmatched_default_rule",
210
+ "pass": true,
211
+ "detail": "no default-rule phrase found in NL",
212
+ "severity": "OK"
213
+ },
214
+ {
215
+ "check": "volatile_function_freeze",
216
+ "pass": true,
217
+ "detail": "volatile_cells=0",
218
+ "severity": "OK"
219
+ },
220
+ {
221
+ "check": "direct_answer_leakage",
222
+ "pass": true,
223
+ "detail": "0 leaks out of 90 GT cells (0%)",
224
+ "severity": "OK"
225
+ }
226
+ ]
227
+ },
228
+ "pre_nl_local": {
229
+ "local_total": 58,
230
+ "local_label": "PENDING_NL",
231
+ "hard_fail_flags": [],
232
+ "warnings": [
233
+ "nl_missing"
234
+ ],
235
+ "local_subscores": {
236
+ "family_clean": 25,
237
+ "target_integrity": 15,
238
+ "taxonomy": 10,
239
+ "semantic_signal": 8,
240
+ "nl_schema": 0,
241
+ "target_alignment": 0,
242
+ "business_specificity": 0,
243
+ "nl_risk": 0
244
+ }
245
+ }
246
+ },
247
+ "verify": {
248
+ "uniqueness": {
249
+ "total_gt_cells": 90,
250
+ "total_non_none": 90,
251
+ "block_reasons": [],
252
+ "warnings": [
253
+ "mixed_gt_types:{'int': 76, 'float': 13, 'str': 1}"
254
+ ],
255
+ "checks": {
256
+ "rank_tie_risk": {
257
+ "rank_cells": 0,
258
+ "tie_issues": 0,
259
+ "details": []
260
+ },
261
+ "trivial_gt": {
262
+ "issues": []
263
+ },
264
+ "gt_type_consistency": {
265
+ "types": {
266
+ "int": 76,
267
+ "float": 13,
268
+ "str": 1
269
+ },
270
+ "mixed": true
271
+ },
272
+ "empty_gt": {
273
+ "count": 0,
274
+ "details": []
275
+ }
276
+ }
277
+ },
278
+ "src_chain": {
279
+ "hard_block": false,
280
+ "block_reasons": [],
281
+ "checks": {
282
+ "error_cells": {
283
+ "pass": true,
284
+ "count": 0,
285
+ "cells": []
286
+ },
287
+ "external_refs": {
288
+ "pass": true,
289
+ "count": 0,
290
+ "cells": []
291
+ },
292
+ "volatile_funcs": {
293
+ "pass": true,
294
+ "count": 0,
295
+ "cells": []
296
+ },
297
+ "missing_sheets": {
298
+ "pass": true,
299
+ "count": 0,
300
+ "sheets": []
301
+ },
302
+ "circular_refs": {
303
+ "pass": true,
304
+ "cycle_cells": []
305
+ }
306
+ },
307
+ "required_chain_scope": {
308
+ "external_ref_in_required_chain": 0,
309
+ "external_ref_in_other": 0,
310
+ "error_cells_in_required_chain": 0,
311
+ "error_cells_in_other": 0,
312
+ "required_chain_cells": 90
313
+ }
314
+ },
315
+ "solver_visibility": {
316
+ "contract_cells": 90,
317
+ "total_masked": 90,
318
+ "total_visible": 13961,
319
+ "depth": 21,
320
+ "block_reasons": [],
321
+ "warnings": [],
322
+ "checks": {
323
+ "broken_chains": {
324
+ "count": 0,
325
+ "checked": 90,
326
+ "details": []
327
+ },
328
+ "orphan_masks": {
329
+ "count": 0,
330
+ "details": []
331
+ },
332
+ "self_contained": {
333
+ "missing_sheets": []
334
+ }
335
+ }
336
+ },
337
+ "exemplar": {
338
+ "soft_block": false,
339
+ "block_reasons": [],
340
+ "checks": {
341
+ "pattern_coverage": {
342
+ "pass": true,
343
+ "total_gt_patterns": 4,
344
+ "total_src_patterns": 15,
345
+ "zero_exemplar_count": 0,
346
+ "low_exemplar_count": 0
347
+ },
348
+ "zero_exemplar_patterns": {
349
+ "pass": true,
350
+ "patterns": []
351
+ },
352
+ "low_exemplar_patterns": {
353
+ "pass": true,
354
+ "patterns": []
355
+ },
356
+ "func_coverage": {
357
+ "IF": {
358
+ "total_masked": 77,
359
+ "visible_exemplars": 242
360
+ },
361
+ "IFERROR": {
362
+ "total_masked": 13,
363
+ "visible_exemplars": 1147
364
+ }
365
+ }
366
+ }
367
+ },
368
+ "shortcut": {
369
+ "shortcut_risk": 0.0,
370
+ "flags": []
371
+ },
372
+ "release_audit": {
373
+ "surface_single_sheet": true,
374
+ "surface_sheets": [
375
+ "Historical Data (2)"
376
+ ],
377
+ "cross_sheet_actual": false,
378
+ "cross_sheet_ref_count": 0,
379
+ "referenced_sheets": [],
380
+ "target_shape": "single_column_series",
381
+ "layer_sizes": [
382
+ 13,
383
+ 1,
384
+ 4,
385
+ 4,
386
+ 4,
387
+ 4,
388
+ 4,
389
+ 4,
390
+ 4,
391
+ 4,
392
+ 4,
393
+ 4,
394
+ 4,
395
+ 4,
396
+ 4,
397
+ 4,
398
+ 4,
399
+ 4,
400
+ 4,
401
+ 4,
402
+ 4
403
+ ],
404
+ "mask_last_total_cells": 90,
405
+ "layer_growth_ratios": [
406
+ 0.0769,
407
+ 4.0,
408
+ 1.0,
409
+ 1.0,
410
+ 1.0,
411
+ 1.0,
412
+ 1.0,
413
+ 1.0,
414
+ 1.0,
415
+ 1.0,
416
+ 1.0,
417
+ 1.0,
418
+ 1.0,
419
+ 1.0,
420
+ 1.0,
421
+ 1.0,
422
+ 1.0,
423
+ 1.0,
424
+ 1.0,
425
+ 1.0
426
+ ],
427
+ "pattern_dominance_ratio": 0.4222,
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+ "visible_clone_regions": 132,
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+ "nearby_visible_clone_regions": 0,
430
+ "nearby_visible_clone_rows": 0,
431
+ "nearby_visible_clone_ratio": 0.0,
432
+ "promptability_score": 1.0,
433
+ "release_reasons": [],
434
+ "release_verdict": "KEEP"
435
+ }
436
+ },
437
+ "difficulty": {
438
+ "task_id": "single_sheet__dag_21b19c092867",
439
+ "difficulty_score": 77.3,
440
+ "difficulty": "hard",
441
+ "depth": 21,
442
+ "total_masked": 90,
443
+ "is_cross_sheet": false,
444
+ "unique_patterns": 78,
445
+ "avg_complexity": 18.0,
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+ "cross_refs": 0,
447
+ "visible_exemplar_ratio": 0.071,
448
+ "score_breakdown": {
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+ "depth": 25,
450
+ "cross_sheet": 0,
451
+ "cell_count": 13.0,
452
+ "patterns": 15,
453
+ "complexity": 15,
454
+ "cross_refs": 0,
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+ "vis_penalty": 9.3
456
+ }
457
+ }
458
+ }
FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00045/ground_truth_full.json ADDED
@@ -0,0 +1,812 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
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+ {
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+ "sheet": "Historical Data (2)",
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+ "col": "BF",
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+ "cached_value": 1.84406924240104,
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13
+ "col": "BF",
14
+ "row": 7,
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+ "formula": "=IFERROR(VLOOKUP(BF$4,$A:$O,MATCH($Q7,$A$4:$O$4,FALSE)),\"\")",
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+ "cached_value": 3.743771222861584,
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+ "col": "BF",
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+ "row": 9,
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+ "formula": "=IFERROR(VLOOKUP(BF$4,$A:$O,MATCH($Q9,$A$4:$O$4,FALSE)),\"\")",
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+ {
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+ "binary": true,
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+ "reason": "Masking is contract-consistent: 90/90 contract cells are truly removed, 0 contract cells left unmasked, and 0 extra-masked cells outside the contract. No phantom ranges are referenced; all masked cells are within the real sheet extent. Visible neighboring columns do show similar formulas, but not in a trivially copyable way because the solver still must reconstruct the masked month/year/date chain feeding BF4. This is appropriate chain masking rather than leakage."
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+ "reason": "The NL clearly identifies the target range BF6:BF18 and the target column August_2021_V1. It also hints that prerequisite month-level entries may need to be restored first. Minor weakness: it does not explain the month/year/date generation logic or mention BF4 explicitly, so the user must infer the dependency structure from the sheet."
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+ "d4_type": "ok"
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+ "score": 5,
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+ "reason": "The source workbook appears sound: formulas are consistent across the rolling month/version table, cached values align, headers are meaningful, and no corruption, broken references, circularity, or cross-sheet issues are indicated. The automated quality signals are clean."
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+ },
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+ "D6": {
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+ "score": 4,
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+ "reason": "The NL sounds reasonably like a workplace spreadsheet request: identify a sheet, fill a specific column/range, maintain consistency, save the workbook. It is slightly benchmark-like in phrasing ('Any related month-level entries elsewhere in the sheet...') but still natural enough."
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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: clean masking, correct GT, strong source data, and a genuinely challenging yet reconstructible dependency chain. Minor NL vagueness is not severe enough to block release.",
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+ "frontier_hardness": {
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+ "reason": "A frontier model would likely struggle because the task requires reconstructing a 21-layer single-sheet dependency chain: backward month/year propagation in rows 2-3, a boundary-date rule in row 4, and then applying the lookup formula in BF6:BF18. The visible evidence exists, so this is genuine difficulty rather than missing evidence, but the long chain and multiple interacting formula patterns make error propagation likely.",
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+ "is_valid_hardness": true
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+ "difficulty": "hard",
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+ "total_masked": 90,
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+ "is_cross_sheet": false,
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+ "unique_patterns": 78,
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+ "avg_complexity": 18,
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+ "cross_refs": 0,
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+ "visible_exemplar_ratio": 0.071
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+ },
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+ "task_id": "single_sheet__dag_21b19c092867",
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+ "elapsed": 20.1,
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+ "publish_decision": "YES",
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+ "release_tier": "FRONTIER_HARD",
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+ "hard_block_reasons": []
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+ }
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+ {
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+ "layer": 6,
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+ "regions": [
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+ {
522
+ "sheet": "Historical Data (2)",
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+ "column": "AZ",
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+ "column_header": "May_2021_V1",
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+ "cell_range": "AZ2:AZ3",
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+ "cell_count": 2,
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+ "rows": [
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+ ],
531
+ "first_row_label": "",
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+ "last_row_label": "Closing Price (Adj.)"
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+ },
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+ {
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+ "sheet": "Historical Data (2)",
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+ "column": "BA",
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+ "column_header": "May_2021_V2",
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+ "cell_range": "BA2:BA3",
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+ "cell_count": 2,
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+ "rows": [
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544
+ "first_row_label": "",
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+ "last_row_label": "Closing Price (Adj.)"
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+ "cell_count": 4
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+ },
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+ {
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+ "layer": 5,
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+ "regions": [
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+ {
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+ "sheet": "Historical Data (2)",
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+ "column": "BB",
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+ "column_header": "June_2021_V1",
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+ "cell_range": "BB2:BB3",
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+ "cell_count": 2,
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+ "rows": [
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+ ],
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+ "first_row_label": "",
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+ "last_row_label": "Closing Price (Adj.)"
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+ },
566
+ {
567
+ "sheet": "Historical Data (2)",
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+ "column": "BC",
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+ "column_header": "June_2021_V2",
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+ "cell_range": "BC2:BC3",
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+ "cell_count": 2,
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+ "rows": [
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+ "first_row_label": "",
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+ "last_row_label": "Closing Price (Adj.)"
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+ ],
580
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+ },
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+ {
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+ "layer": 4,
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+ "regions": [
585
+ {
586
+ "sheet": "Historical Data (2)",
587
+ "column": "BD",
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+ "column_header": "July_2021_V1",
589
+ "cell_range": "BD2:BD3",
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+ "cell_count": 2,
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+ "rows": [
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+ "first_row_label": "",
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+ "last_row_label": "Closing Price (Adj.)"
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+ },
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+ {
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+ "sheet": "Historical Data (2)",
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+ "column": "BE",
601
+ "column_header": "July_2021_V2",
602
+ "cell_range": "BE2:BE3",
603
+ "cell_count": 2,
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+ "rows": [
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+ ],
608
+ "first_row_label": "",
609
+ "last_row_label": "Closing Price (Adj.)"
610
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+ "cell_count": 4
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+ },
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+ {
615
+ "layer": 3,
616
+ "regions": [
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618
+ "sheet": "Historical Data (2)",
619
+ "column": "BF",
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+ "column_header": "August_2021_V1",
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+ "cell_range": "BF2:BF3",
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+ "cell_count": 2,
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+ "rows": [
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628
+ "last_row_label": "Closing Price (Adj.)"
629
+ },
630
+ {
631
+ "sheet": "Historical Data (2)",
632
+ "column": "BG",
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+ "column_header": "August_2021_V2",
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+ ]
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+ }
FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00045/task_meta.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "fcb_id": "FCB-00045",
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+ "task_id": "single_sheet__dag_21b19c092867",
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+ "tier": "T1_FRONTIER",
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+ "category": "single_sheet",
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+ "depth": 21,
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+ "total_masked": 90,
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+ "is_cross_sheet": false,
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+ "prompt_en": "The Historical Data (2) sheet tracks adjusted closing-price information by Date for finance tickers such as GOOG, TSLA, and WMT, with month-version columns laid out across the table. Please fill in the missing entries in the August_2021_V1 column, specifically cells BF6:BF18. Any related month-level entries elsewhere in the sheet that this column depends on should be in place first so the August_2021_V1 column is consistent with the surrounding historical data. When you’re done, please save the completed workbook as an .xlsx file.",
10
+ "prompt_cn": "“Historical Data (2)”工作表按 Date 记录 GOOG、TSLA、WMT 等金融代码的调整后收盘价信息,并在表格中按月份版本排列了相关列。请补全 August_2021_V1 列中缺失的内容,具体是 BF6:BF18。工作表中与该列相关的其他月份层级数据也需要先补齐,这样 August_2021_V1 列才能与周围的历史数据保持一致。完成后,请将补全后的工作簿保存为 .xlsx 文件。",
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+ "qc": {
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+ "total": 27,
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+ "verdict": "RELEASE",
14
+ "D1": 5,
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+ "D2": 5,
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+ "D3": 4,
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+ "D4": 4,
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+ "D5": 5,
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+ "D6": 4,
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+ "frontier_hardness": 4,
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+ "local_difficulty": 77.3
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+ },
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+ "source_file_id": "840795d1692988889-calculating-periodic-performance-for-financial-portfolio-in-excel-2019-mac-sample-spreadsheet-copy",
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+ "inferred_domain": "finance",
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+ "domain_confidence": 0.25,
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+ "sheet_profiles": [
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+ {
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+ "name": "Historical Data (2)",
29
+ "used_range": "A1:DU916",
30
+ "row_count": 916,
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+ "col_count": 125,
32
+ "has_header": false,
33
+ "title_hint": "Historical Data (2)",
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+ "header_info": null
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+ }
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+ ]
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+ }
FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00071/audit.json ADDED
@@ -0,0 +1,440 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ },
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+ "check": "mask_consistency",
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+ "detail": "mask_last=176790B, src=212945B"
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+ },
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+ {
26
+ "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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+ {
31
+ "check": "ratio_gate",
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+ "pass": true,
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+ "detail": "ratio=4.2 (total=54, final=13)"
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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"
39
+ },
40
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41
+ "check": "gt_uniqueness",
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+ "pass": true,
43
+ "detail": "24 unique values across 53 cells"
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+ },
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+ {
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+ "check": "tail_artifact",
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+ "pass": true,
48
+ "detail": "0 bad values"
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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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+ "check": "adjacent_column_leak",
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+ "pass": true,
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+ "detail": "leaked: Historical Data (2)!U→V(1/2), Historical Data (2)!W→V(2/2), Historical Data (2)!V→W(2/2), Historical Data (2)!X→W(1/2), Historical Data (2)!W→X(1/2)"
60
+ },
61
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62
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+ "pass": true,
64
+ "detail": "clean"
65
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66
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67
+ "check": "duplicate_lookup_tie_break",
68
+ "pass": true,
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+ "detail": "13 lookups"
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+ },
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+ "check": "src_chain_integrity",
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+ "pass": true,
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+ "severity": "ok",
76
+ "detail": "clean",
77
+ "sub_checks": {
78
+ "error_cells": {
79
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80
+ "count": 0,
81
+ "cells": []
82
+ },
83
+ "external_refs": {
84
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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": {
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+ "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": false,
121
+ "detail": "contract=22, prompt=1, missing=18",
122
+ "missing_ranges": [
123
+ "AA2:AA3",
124
+ "AB2:AB3",
125
+ "AC2:AC3",
126
+ "AD2:AD3",
127
+ "AE2:AE3",
128
+ "AF2:AF3",
129
+ "AG2:AG3",
130
+ "AH2:AH3",
131
+ "AI2:AI3",
132
+ "AJ2:AJ3"
133
+ ],
134
+ "severity": "SOFT_WARN"
135
+ },
136
+ {
137
+ "check": "cell_count_match",
138
+ "pass": true,
139
+ "detail": "no explicit total found; skipping (natural format)",
140
+ "severity": "OK"
141
+ },
142
+ {
143
+ "check": "step_count_match",
144
+ "pass": true,
145
+ "detail": "contract=11, no explicit steps found (v5 natural format)",
146
+ "severity": "OK"
147
+ },
148
+ {
149
+ "check": "sheet_name_match",
150
+ "pass": true,
151
+ "detail": "contract=['Historical Data (2)'], missing=[]",
152
+ "severity": "OK"
153
+ },
154
+ {
155
+ "check": "no_formula_leak",
156
+ "pass": true,
157
+ "detail": "0 formula leaks",
158
+ "severity": "OK"
159
+ },
160
+ {
161
+ "check": "no_value_leak",
162
+ "pass": true,
163
+ "detail": "0 value leaks out of 13 GT cells",
164
+ "severity": "OK"
165
+ },
166
+ {
167
+ "check": "final_target_first",
168
+ "pass": true,
169
+ "detail": "no explicit final target marker (natural format)",
170
+ "severity": "OK"
171
+ },
172
+ {
173
+ "check": "output_format",
174
+ "pass": true,
175
+ "detail": "output format found",
176
+ "severity": "OK"
177
+ },
178
+ {
179
+ "check": "header_in_prompt",
180
+ "pass": true,
181
+ "detail": "no column headers found in prompt",
182
+ "severity": "OK"
183
+ },
184
+ {
185
+ "check": "hint_specificity",
186
+ "pass": true,
187
+ "detail": "clean",
188
+ "severity": "OK"
189
+ },
190
+ {
191
+ "check": "evidence_scope",
192
+ "pass": true,
193
+ "detail": "no cross-sheet refs in GT",
194
+ "severity": "OK"
195
+ },
196
+ {
197
+ "check": "exemplar_consistency",
198
+ "pass": true,
199
+ "severity": "OK",
200
+ "detail": "checked 20 col groups; CONFLICTS: Historical Data (2)!AN5: visible='=TEXT(DATE(AN3,AN2,1),\"MMMM\")&' vs GT pattern='=IF(AL#=#,#,AL#+#)'; Historical Data (2)!AO4: visible='=IF(AO2=AP2,_xlfn.MINIFS($A:$A' vs GT pattern='=IF(AO#=#,AM#+#,AM#)'"
201
+ },
202
+ {
203
+ "check": "nl_gt_operation_consistency",
204
+ "pass": false,
205
+ "detail": "GT funcs: ['DATE', 'IF', 'IFERROR', 'MATCH', 'VLOOKUP', 'XLFN.MAXIFS', 'XLFN.MINIFS']; MISMATCHES: GT uses VLOOKUP but NL doesn't mention any of: find, look up, lookup, match; GT uses MATCH but NL doesn't mention any of: find, match, position",
206
+ "severity": "SOFT_WARN"
207
+ },
208
+ {
209
+ "check": "unmatched_default_rule",
210
+ "pass": true,
211
+ "detail": "no default-rule phrase found in NL",
212
+ "severity": "OK"
213
+ },
214
+ {
215
+ "check": "volatile_function_freeze",
216
+ "pass": true,
217
+ "detail": "volatile_cells=0",
218
+ "severity": "OK"
219
+ },
220
+ {
221
+ "check": "direct_answer_leakage",
222
+ "pass": true,
223
+ "detail": "0 leaks out of 54 GT cells (0%)",
224
+ "severity": "OK"
225
+ }
226
+ ]
227
+ },
228
+ "pre_nl_local": {
229
+ "local_total": 58,
230
+ "local_label": "PENDING_NL",
231
+ "hard_fail_flags": [],
232
+ "warnings": [
233
+ "nl_missing"
234
+ ],
235
+ "local_subscores": {
236
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+ "target_integrity": 15,
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+ "taxonomy": 10,
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+ "semantic_signal": 8,
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+ "nl_schema": 0,
241
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242
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243
+ "nl_risk": 0
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+ }
245
+ }
246
+ },
247
+ "verify": {
248
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249
+ "total_gt_cells": 54,
250
+ "total_non_none": 54,
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+ "block_reasons": [],
252
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253
+ "mixed_gt_types:{'int': 40, 'float': 13, 'str': 1}"
254
+ ],
255
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256
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257
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258
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259
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260
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261
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262
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263
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265
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266
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267
+ "float": 13,
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+ "str": 1
269
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+ "mixed": true
271
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273
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276
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277
+ },
278
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279
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289
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294
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+ "cells": []
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+ "sheets": []
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335
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+ "total_gt_patterns": 4,
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+ "total_src_patterns": 15,
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348
+ "zero_exemplar_patterns": {
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350
+ "patterns": []
351
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352
+ "low_exemplar_patterns": {
353
+ "pass": true,
354
+ "patterns": []
355
+ },
356
+ "func_coverage": {
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+ "visible_exemplars": 278
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+ },
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+ "IFERROR": {
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+ "visible_exemplars": 1147
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365
+ }
366
+ }
367
+ },
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+ "shortcut": {
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+ "shortcut_risk": 0.0,
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+ "flags": []
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+ "release_audit": {
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+ "surface_single_sheet": true,
374
+ "surface_sheets": [
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+ "Historical Data (2)"
376
+ ],
377
+ "cross_sheet_actual": false,
378
+ "cross_sheet_ref_count": 0,
379
+ "referenced_sheets": [],
380
+ "target_shape": "single_column_series",
381
+ "layer_sizes": [
382
+ 13,
383
+ 1,
384
+ 4,
385
+ 4,
386
+ 4,
387
+ 4,
388
+ 4,
389
+ 4,
390
+ 4,
391
+ 4,
392
+ 4,
393
+ 4
394
+ ],
395
+ "mask_last_total_cells": 54,
396
+ "layer_growth_ratios": [
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+ 0.0769,
398
+ 4.0,
399
+ 1.0,
400
+ 1.0,
401
+ 1.0,
402
+ 1.0,
403
+ 1.0,
404
+ 1.0,
405
+ 1.0,
406
+ 1.0,
407
+ 1.0
408
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+ "score": 3,
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+ "level": "low",
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+ "max_possible": 100,
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+ "dimensions": {
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+ "operation_words": 0,
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+ "cell_range_density": 3,
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+ "step_by_step": 0,
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+ "column_operation_mapping": 0,
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+ "formula_pattern_hints": 0
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+ },
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+ "operation_words_found": [],
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+ "cell_ranges_found": 1
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+ },
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+ "version": "v7",
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+ "model": "gpt-5.5",
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+ "elapsed": 99.1,
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+ "attempt": 3
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+ }
FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00075/release_qc.json ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "binary": true,
3
+ "binary_reason": "CORRECT: the masked cells are real and cleanly bounded, the GT formulas are consistent, and the task is solvable from visible row/column patterns despite the deep masked chain.",
4
+ "D1": {
5
+ "score": 5,
6
+ "reason": "All 15 contract cells are real cells within the Tabela sheet range, and the diff summary confirms exactly 15 truly masked cells with no contract misses and no extra masking. The row-5 prerequisite chain being masked is intentional under chain-masking. There are visible adjacent-column and adjacent-row patterns, but the final target is not trivially copyable with zero reasoning because S5 and the row-5 horizontal dependency chain must still be reconstructed."
7
+ },
8
+ "D2": {
9
+ "score": 5,
10
+ "reason": "The GT formulas for S6:S10 are deterministic and consistent with the cached values: S6 = S5 + 1 gives 2.2, then each subsequent row increments by 1 through S10 = 6.2. The formulas align with the surrounding source-sheet pattern."
11
+ },
12
+ "D3": {
13
+ "score": 4,
14
+ "reason": "The NL clearly identifies the target sheet, target column, and target range S6:S10, and it warns that other blank Valor fields may need to be completed. It is somewhat general and does not explicitly list the row-5 prerequisite chain, but that is acceptable for this benchmark style."
15
+ },
16
+ "D4": {
17
+ "score": 5,
18
+ "reason": "Using only mask_last.xlsx and the NL prompt, the task is reconstructible. Headers Valor0 through Valor10 are visible, I5 = 1.1 is visible, row 6 shows the horizontal numeric progression through R6 = 2.19, and rows 7:10 in adjacent Valor columns visibly follow the prior-row-plus-1 pattern. These clues allow the solver to infer the row-5 horizontal +0.01 chain and the S-column vertical +1 continuation needed for S6:S10.",
19
+ "d4_type": "ok"
20
+ },
21
+ "D5": {
22
+ "score": 5,
23
+ "reason": "The source spreadsheet appears internally consistent: formulas follow simple deterministic horizontal and vertical increment rules, there are no apparent circular references or broken references, and the headers are meaningful and consistent for the Valor columns and record fields."
24
+ },
25
+ "D6": {
26
+ "score": 5,
27
+ "reason": "The NL prompt sounds natural and workplace-like. It avoids benchmark jargon, describes the sheet and fields in ordinary language, and gives a practical instruction to complete and save the workbook."
28
+ },
29
+ "total": 29,
30
+ "verdict": "RELEASE",
31
+ "verdict_reason": "High-quality task: clean mask boundary, correct GT, sufficient visible evidence, and natural prompt. The task is hard structurally due to the long dependency chain but remains solvable from the masked workbook.",
32
+ "frontier_hardness": {
33
+ "score": 2,
34
+ "reason": "Although the formal chain depth is 11, the visible row and column patterns provide strong evidence. A frontier model should likely infer the +0.01 horizontal row-5 chain and the +1 vertical S-column continuation without major difficulty.",
35
+ "fail_reason": "easy",
36
+ "is_valid_hardness": false
37
+ },
38
+ "_prompt_chars": 36248,
39
+ "_timing_load_workbooks": 0.02,
40
+ "_timing_context": 0.01,
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+ "_timing_api": 65.08,
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+ "local_difficulty": {
43
+ "difficulty_score": 62.1,
44
+ "difficulty": "hard",
45
+ "depth": 11,
46
+ "total_masked": 15,
47
+ "is_cross_sheet": false,
48
+ "unique_patterns": 11,
49
+ "avg_complexity": 4,
50
+ "cross_refs": 0,
51
+ "visible_exemplar_ratio": 0.167
52
+ },
53
+ "task_id": "single_sheet__dag_c67834810109",
54
+ "elapsed": 65.1,
55
+ "publish_decision": "YES",
56
+ "release_tier": "GOLD",
57
+ "hard_block_reasons": []
58
+ }
FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00075/src.xlsx ADDED
Binary file (11 kB). View file
 
FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00075/task_meta.json ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "fcb_id": "FCB-00075",
3
+ "task_id": "single_sheet__dag_c67834810109",
4
+ "tier": "T1_FRONTIER",
5
+ "category": "single_sheet",
6
+ "depth": 11,
7
+ "total_masked": 15,
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+ "is_cross_sheet": false,
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+ "prompt_en": "On the Tabela sheet, the records are laid out with fields like Set, [Person_1], Ano, [Person_2], and the Valor columns for each row. Please complete the missing entries in the Valor10 column, specifically S6:S10. Some of the other blank Valor fields in the sheet may need to be in place before the Valor10 entries make sense, so complete the sheet consistently using the visible data. When you’re done, save the completed file as an .xlsx workbook.",
10
+ "prompt_cn": "在 Tabela 工作表中,记录按 Set、[Person_1]、Ano、[Person_2] 以及各个 Valor 列来整理。请补全 Valor10 列中缺失的内容,具体位置是 S6:S10。表里其他空白的 Valor 字段可能需要先补好,Valor10 的内容才会对应得上,所以请根据可见数据把整张表补充一致。完成后,请将文件保存为 .xlsx 工作簿。",
11
+ "qc": {
12
+ "total": 29,
13
+ "verdict": "RELEASE",
14
+ "D1": 5,
15
+ "D2": 5,
16
+ "D3": 4,
17
+ "D4": 5,
18
+ "D5": 5,
19
+ "D6": 5,
20
+ "frontier_hardness": 2,
21
+ "local_difficulty": 62.1
22
+ },
23
+ "source_file_id": "672279d1586814092-indexmatch-obtain-result-from-several-cells-test_model_v1",
24
+ "inferred_domain": "general",
25
+ "domain_confidence": 0.0,
26
+ "sheet_profiles": [
27
+ {
28
+ "name": "Tabela",
29
+ "used_range": "E4:S21",
30
+ "row_count": 18,
31
+ "col_count": 15,
32
+ "has_header": true,
33
+ "title_hint": "Tabela",
34
+ "header_info": {
35
+ "sheet": "Tabela",
36
+ "header_row": 4,
37
+ "headers": {
38
+ "E": "Set",
39
+ "F": "[Person_1]",
40
+ "G": "Ano",
41
+ "H": "[Person_2]",
42
+ "I": "Valor0",
43
+ "J": "Valor1",
44
+ "K": "Valor2",
45
+ "L": "Valor3",
46
+ "M": "Valor4",
47
+ "N": "Valor5",
48
+ "O": "Valor6",
49
+ "P": "Valor7",
50
+ "Q": "Valor8",
51
+ "R": "Valor9",
52
+ "S": "Valor10"
53
+ }
54
+ }
55
+ }
56
+ ]
57
+ }