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Record e77d633f7a814ad68e49651ec700a34f

FAIL

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

✕FAILanswered "ANSWER: 69" · model Gemma 3 27B

finish_reason: stop · tokens in/out: 258/659 · cost: $0.000223 · latency: 10027.1 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=foil:early_binding,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: e77d633f

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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 724 chars · 258 tokens in
Here is a short Python program.

```python
factor = 6
quota = 2
total = 1
total = total * 3
factor += total * 2
batch = [1, 8, 5, 6]
nums = batch
nums += [18]
factor += batch[-1]
width = 3

def bump(val):
    return val * width

width = 6
factor += bump(2)

def tally_up(m):
    total = m * 2 + 1
    return total + 1

extra = tally_up(9)
factor += total + extra
value = quota - 9
margin = value % 6
factor += margin

def adjust(acc, num=[]):
    num.append(acc)
    return len(num)

limit = adjust(4)
cost = adjust(5)
factor += limit + cost
factor += quota
```

After this program runs, what is the value of `factor`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 659 tokens out · finish: stop
Let's trace the execution of the Python code step by step to determine the final value of `factor`.

1. `factor = 6`
2. `quota = 2`
3. `total = 1`
4. `total = total * 3`  => `total = 1 * 3 = 3`
5. `factor += total * 2` => `factor = 6 + 3 * 2 = 6 + 6 = 12`
6. `batch = [1, 8, 5, 6]`
7. `nums = batch`  => `nums` refers to the same list as `batch`
8. `nums += [18]` => `nums` (and `batch`) becomes `[1, 8, 5, 6, 18]`
9. `factor += batch[-1]` => `factor = 12 + 18 = 30`
10. `width = 3`
11. `def bump(val): return val * width`
12. `width = 6`
13. `factor += bump(2)` => `factor = 30 + (2 * 6) = 30 + 12 = 42`
14. `def tally_up(m): total = m * 2 + 1; return total + 1`
15. `extra = tally_up(9)` => `extra = (9 * 2 + 1) + 1 = (18 + 1) + 1 = 19 + 1 = 20`
16. `factor += total + extra` => `factor = 42 + 3 + 20 = 65`
17. `value = quota - 9` => `value = 2 - 9 = -7`
18. `margin = value % 6` => `margin = -7 % 6 = -1`
19. `factor += margin` => `factor = 65 + (-1) = 64`
20. `def adjust(acc, num=[]): num.append(acc); return len(num)`
21. `limit = adjust(4)` => `num` is initialized as `[]`. `num.append(4)` so `num` is `[4]`. `limit = len(num) = 1`
22. `cost = adjust(5)` => `num` is still `[4]` from the previous call. `num.append(5)` so `num` is `[4, 5]`. `cost = len(num) = 2`
23. `factor += limit + cost` => `factor = 64 + 1 + 2 = 67`
24. `factor += quota` => `factor = 67 + 2 = 69`

ANSWER: 69
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_matches2.0
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