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Record afbc46b1b235489fa9243dbb36f91e96

FAIL

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

✕FAILanswered "ANSWER: [9, 7, 7, 8, 18, 27, 9, 0, 1, 2, 3, 4, 5, -2, 9, 1, 18]" · model Gemma 3 27B

finish_reason: stop · tokens in/out: 299/933 · cost: $0.000310 · latency: 16171.2 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=foil:truncating_modulo;n_stmts=31;trace_len=38;traps=aliasing_on=1;late_binding_on=1;shadowing_on=1;inclusive_range_trap_on=1;negative_modulo_on=1;mutable_default_on=1;confusability=0

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

lineage: afbc46b1

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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 814 chars · 299 tokens in
Here is a short Python program.

```python
stack = [9, 7, 7, 8]
margin = 2
score = 9
if score >= 8:
    margin = score * 2
    margin = len(stack) // 3
values = stack
values += [18]
height = 5

def adjust(q):
    return q * height

height += 4
stack.append(adjust(3))

def apply_rate(num):
    margin = num * 2 + 1
    return margin + 1

cost = apply_rate(3)
stack.append(margin + cost)
for i in range(6):
    stack.append(i)
weight = score - 17
quota = weight % 3
stack.append(quota)

def bump(w, bag=[]):
    bag.append(w)
    return len(bag) + w

width = bump(9)
factor = bump(7)
stack.append(factor)
stack.append(margin)
stack.append(score * 2)
```

After this program runs, what is the value of `stack`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 933 tokens out · finish: stop
Let's trace the execution of the Python code step by step.

1. `stack = [9, 7, 7, 8]`
2. `margin = 2`
3. `score = 9`
4. `if score >= 8:` is true.
5. `margin = score * 2 = 9 * 2 = 18`
6. `margin = len(stack) // 3 = 4 // 3 = 1`
7. `values = stack` (values now refers to the same list as stack)
8. `values += [18]` (stack becomes `[9, 7, 7, 8, 18]`)
9. `height = 5`
10. `def adjust(q): return q * height`
11. `height += 4` (height becomes 9)
12. `stack.append(adjust(3)) = stack.append(3 * 9) = stack.append(27)` (stack becomes `[9, 7, 7, 8, 18, 27]`)
13. `def apply_rate(num): margin = num * 2 + 1; return margin + 1`
14. `cost = apply_rate(3) = 3 * 2 + 1 + 1 = 6 + 1 + 1 = 8`
15. `stack.append(margin + cost) = stack.append(1 + 8) = stack.append(9)` (stack becomes `[9, 7, 7, 8, 18, 27, 9]`)
16. `for i in range(6): stack.append(i)` (stack becomes `[9, 7, 7, 8, 18, 27, 9, 0, 1, 2, 3, 4, 5]`)
17. `weight = score - 17 = 9 - 17 = -8`
18. `quota = weight % 3 = -8 % 3 = -2`
19. `stack.append(quota) = stack.append(-2)` (stack becomes `[9, 7, 7, 8, 18, 27, 9, 0, 1, 2, 3, 4, 5, -2]`)
20. `def bump(w, bag=[]): bag.append(w); return len(bag) + w`
21. `width = bump(9)` (bag becomes `[9]`, returns `1 + 9 = 10`)
22. `factor = bump(7)` (bag becomes `[9, 7]`, returns `2 + 7 = 9`)
23. `stack.append(factor) = stack.append(9)` (stack becomes `[9, 7, 7, 8, 18, 27, 9, 0, 1, 2, 3, 4, 5, -2, 9]`)
24. `stack.append(margin) = stack.append(1)` (stack becomes `[9, 7, 7, 8, 18, 27, 9, 0, 1, 2, 3, 4, 5, -2, 9, 1]`)
25. `stack.append(score * 2) = stack.append(9 * 2) = stack.append(18)` (stack becomes `[9, 7, 7, 8, 18, 27, 9, 0, 1, 2, 3, 4, 5, -2, 9, 1, 18]`)

ANSWER: [9, 7, 7, 8, 18, 27, 9, 0, 1, 2, 3, 4, 5, -2, 9, 1, 18]
Reasoning not captured

(no reasoning captured)

Realized dims 17
dimvalue
aliasing_on1.0
answer_size54.0
distractor_fraction0.0
identifier_confusability0.0
inclusive_range_trap_on1.0
late_binding_on1.0
max_nesting1.0
mutable_default_on1.0
n_closures1.0
n_foil_matches1.0
n_live_aliases1.0
n_statements31.0
n_variables10.0
negative_modulo_on1.0
shadowing_on1.0
trace_length38.0
traps_on6.0
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_on1.0
n_statements18.0
n_variables3.0
negative_modulo_on1.0
shadowing_on1.0