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Record e2292e57ca804504a3090c9dd1eb5e69

FAIL

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

✕FAILanswered "ANSWER: [2, 3, 8, 63, 10, 0, 1, 2, 3, 2, 4, 5]" · model Gemma 3 27B

finish_reason: stop · tokens in/out: 252/735 · cost: $0.000246 · latency: 13816.9 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=foil:value_semantics;n_stmts=26;trace_len=29;traps=aliasing_on=1;late_binding_on=1;shadowing_on=1;inclusive_range_trap_on=1;negative_modulo_on=1;mutable_default_on=0;confusability=0

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

lineage: e2292e57

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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 704 chars · 252 tokens in
Here is a short Python program.

```python
scores = [2, 3]
budget = 4
height = 5
budget = len(scores)
budget = len(scores)
slots = [2, 8]
items = slots
items.append(17)
scores.append(slots[-1])
width = 5

def shift_by(val):
    return val * width

width += 4
scores.append(shift_by(7))

def bump(n):
    budget = n * 2 + 1
    return budget + 1

bonus = bump(3)
scores.append(budget + bonus)
for i in range(4):
    scores.append(i)
weight = budget - 5
rate = weight % 5
scores.append(rate)
scores.append(budget * 2)
scores.append(height)
```

After this program runs, what is the value of `scores`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 735 tokens out · finish: stop
Let's trace the execution of the Python code step by step to determine the final value of the `scores` list.

1. `scores = [2, 3]`
2. `budget = 4`
3. `height = 5`
4. `budget = len(scores)`: `budget` becomes 2.
5. `budget = len(scores)`: `budget` remains 2.
6. `slots = [2, 8]`
7. `items = slots`: `items` is now `[2, 8]`.
8. `items.append(17)`: `items` becomes `[2, 8, 17]`.
9. `scores.append(slots[-1])`: `scores` becomes `[2, 3, 8]`.
10. `width = 5`
11. `def shift_by(val): return val * width`
12. `width += 4`: `width` becomes 9.
13. `scores.append(shift_by(7))`: `scores.append(7 * 9)`, so `scores` becomes `[2, 3, 8, 63]`.
14. `def bump(n): budget = n * 2 + 1; return budget + 1`
15. `bonus = bump(3)`: `budget` inside `bump` becomes `3 * 2 + 1 = 7`. `bump` returns `7 + 1 = 8`. `bonus` is 8.
16. `scores.append(budget + bonus)`: `scores.append(2 + 8)`, so `scores` becomes `[2, 3, 8, 63, 10]`.
17. `for i in range(4): scores.append(i)`: This loop appends 0, 1, 2, and 3 to `scores`. `scores` becomes `[2, 3, 8, 63, 10, 0, 1, 2, 3]`.
18. `weight = budget - 5`: `weight` becomes `2 - 5 = -3`.
19. `rate = weight % 5`: `rate` becomes `-3 % 5 = 2`.
20. `scores.append(rate)`: `scores` becomes `[2, 3, 8, 63, 10, 0, 1, 2, 3, 2]`.
21. `scores.append(budget * 2)`: `scores.append(2 * 2)`, so `scores` becomes `[2, 3, 8, 63, 10, 0, 1, 2, 3, 2, 4]`.
22. `scores.append(height)`: `scores` becomes `[2, 3, 8, 63, 10, 0, 1, 2, 3, 2, 4, 5]`.

ANSWER: [2, 3, 8, 63, 10, 0, 1, 2, 3, 2, 4, 5]
Reasoning not captured

(no reasoning captured)

Realized dims 17
dimvalue
aliasing_on1.0
answer_size39.0
distractor_fraction0.0
identifier_confusability0.0
inclusive_range_trap_on1.0
late_binding_on1.0
max_nesting1.0
mutable_default_on0.0
n_closures1.0
n_foil_matches1.0
n_live_aliases1.0
n_statements26.0
n_variables9.0
negative_modulo_on1.0
shadowing_on1.0
trace_length29.0
traps_on5.0
Latent params 11
paramvalue
aliasing_on1.0
distractor_fraction0.0
identifier_confusability0.0
inclusive_range_trap_on1.0
late_binding_on1.0
max_nesting1.0
mutable_default_on0.0
n_statements18.0
n_variables3.0
negative_modulo_on1.0
shadowing_on1.0