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Record 88696c2546124afb8212da4668e8ed19

FAIL

Verdict and provenance first; raw prompt/response/reasoning below, collapsed.

✕FAILanswered "ANSWER: 90" · model Gemma 3 27B

finish_reason: stop · tokens in/out: 267/672 · cost: $0.000228 · latency: 10063.0 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=foil:truncating_modulo;n_stmts=29;trace_len=31;traps=aliasing_on=1;late_binding_on=1;shadowing_on=1;inclusive_range_trap_on=0;negative_modulo_on=1;mutable_default_on=1;confusability=0

trap kind(s) this world was seeded for: aliasing_on=1

lineage: 88696c25

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Why did it fail? Nemotron 3 Ultra · live on Nebius Token Factory

Ultra reads the prompt, this answer, the verified correct answer and the difficulty settings, then explains the mistake. The verifier's own classification is shown next to it for comparison.

Prompt 734 chars · 267 tokens in
Here is a short Python program.

```python
cost = 2
factor = 2
rate = 7
cost += factor
factor = cost if cost < factor else factor + 5
scores = [2, 4, 1, 3]
stack = scores
stack[-1] = 19
cost += scores[-1]
level = 3

def bump(v):
    return v * level

level = 5
cost += bump(7)

def scale(m):
    rate = m * 2 + 1
    return rate + 1

height = scale(4)
cost += rate + height
total = rate - 15
base = total % 7
cost += base

def apply_rate(bag, num=[]):
    num.append(bag)
    return len(num)

limit = apply_rate(3)
budget = apply_rate(1)
cost += budget
cost += rate * 2
```

After this program runs, what is the value of `cost`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 672 tokens out · finish: stop
Let's trace the execution of the Python code step by step to determine the final value of `cost`.

1. `cost = 2`
2. `factor = 2`
3. `rate = 7`
4. `cost += factor`  => `cost = 2 + 2 = 4`
5. `factor = cost if cost < factor else factor + 5` => `factor = 4 if 4 < 2 else 2 + 5` => `factor = 4 if False else 7` => `factor = 7`
6. `scores = [2, 4, 1, 3]`
7. `stack = scores`  => `stack` and `scores` now refer to the same list.
8. `stack[-1] = 19` => `scores[-1] = 19` => `scores` becomes `[2, 4, 1, 19]`
9. `cost += scores[-1]` => `cost = 4 + 19 = 23`
10. `level = 3`
11. `def bump(v): return v * level`
12. `level = 5`
13. `cost += bump(7)` => `cost += 7 * 5` => `cost += 35` => `cost = 23 + 35 = 58`
14. `def scale(m): rate = m * 2 + 1; return rate + 1`
15. `height = scale(4)` => `rate = 4 * 2 + 1 = 9`; `height = 9 + 1 = 10`
16. `cost += rate + height` => `cost += 7 + 10` => `cost += 17` => `cost = 58 + 17 = 75`
17. `total = rate - 15` => `total = 7 - 15 = -8`
18. `base = total % 7` => `base = -8 % 7 = -1`
19. `cost += base` => `cost = 75 + (-1) = 74`
20. `def apply_rate(bag, num=[]): num.append(bag); return len(num)`
21. `limit = apply_rate(3)` => `num.append(3)`; `limit = len(num) = 1`
22. `budget = apply_rate(1)` => `num.append(1)`; `budget = len(num) = 2`
23. `cost += budget` => `cost = 74 + 2 = 76`
24. `cost += rate * 2` => `cost += 7 * 2` => `cost += 14` => `cost = 76 + 14 = 90`

ANSWER: 90
Reasoning not captured

(no reasoning captured)

Realized dims 17
dimvalue
aliasing_on1.0
answer_size2.0
distractor_fraction0.0
identifier_confusability0.0
inclusive_range_trap_on0.0
late_binding_on1.0
max_nesting0.0
mutable_default_on1.0
n_closures1.0
n_foil_matches1.0
n_live_aliases1.0
n_statements29.0
n_variables11.0
negative_modulo_on1.0
shadowing_on1.0
trace_length31.0
traps_on5.0
Latent params 11
paramvalue
aliasing_on1.0
distractor_fraction0.0
identifier_confusability0.0
inclusive_range_trap_on0.0
late_binding_on1.0
max_nesting1.0
mutable_default_on1.0
n_statements18.0
n_variables3.0
negative_modulo_on1.0
shadowing_on1.0