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Record 7094652227674fc5a9231cedfcc138bd

FAIL

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

✕FAILanswered "ANSWER: [2, 5, 6, 10, 18, 8, 0, 1, 2, 3, 4, -1, 14, 0, 2]" · model Gemma 3 27B

finish_reason: stop · tokens in/out: 282/968 · cost: $0.000319 · latency: 16247.2 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=foil:truncating_modulo;n_stmts=30;trace_len=36;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: 70946522

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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 763 chars · 282 tokens in
Here is a short Python program.

```python
rows = [2, 5, 6]
rate = 7
parts = [0, 9]
parts = rows[1:]
rate -= rate
codes = rows
codes += [10]
margin = 5

def pack(v):
    return v + margin

margin = 11
rows.append(pack(7))

def measure(acc):
    rate = acc * 2 + 1
    return rate + 1

cost = measure(3)
rows.append(rate + cost)
for j in range(5):
    rows.append(j)
factor = rate - 4
value = factor % 3
rows.append(value)

def collect(bag, n=[]):
    n.append(bag)
    return len(n) + bag

spare = collect(9)
weight = collect(2)
rows.append(spare + weight)
rows.append(rate)
rows.append(len(parts))
```

After this program runs, what is the value of `rows`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 968 tokens out · finish: stop
Let's trace the execution of the Python code step by step.

1. `rows = [2, 5, 6]`
2. `rate = 7`
3. `parts = [0, 9]`
4. `parts = rows[1:]`  `parts` becomes `[5, 6]`
5. `rate -= rate` `rate` becomes `0`
6. `codes = rows` `codes` is now a reference to `rows`, so `codes = [2, 5, 6]`
7. `codes += [10]` `rows` becomes `[2, 5, 6, 10]` and `codes` also points to this list.
8. `margin = 5`
9. `def pack(v): return v + margin`
10. `margin = 11`
11. `rows.append(pack(7))` `rows.append(7 + 11)` `rows.append(18)` `rows` becomes `[2, 5, 6, 10, 18]`
12. `def measure(acc): rate = acc * 2 + 1; return rate + 1`
13. `cost = measure(3)` `rate` inside `measure` becomes `3 * 2 + 1 = 7`. `measure` returns `7 + 1 = 8`. `cost` becomes `8`.
14. `rows.append(rate + cost)` `rows.append(0 + 8)` `rows.append(8)` `rows` becomes `[2, 5, 6, 10, 18, 8]`
15. `for j in range(5): rows.append(j)` This loop appends 0, 1, 2, 3, 4 to `rows`. `rows` becomes `[2, 5, 6, 10, 18, 8, 0, 1, 2, 3, 4]`
16. `factor = rate - 4` `factor = 0 - 4 = -4`
17. `value = factor % 3` `value = -4 % 3 = -1`
18. `rows.append(value)` `rows.append(-1)` `rows` becomes `[2, 5, 6, 10, 18, 8, 0, 1, 2, 3, 4, -1]`
19. `def collect(bag, n=[]): n.append(bag); return len(n) + bag`
20. `spare = collect(9)` `n` is initialized as `[]`. `n.append(9)`. `spare = len(n) + 9 = 1 + 9 = 10`.
21. `weight = collect(2)` `n` is still `[9]` from the previous call. `n.append(2)`. `weight = len(n) + 2 = 2 + 2 = 4`.
22. `rows.append(spare + weight)` `rows.append(10 + 4)` `rows.append(14)` `rows` becomes `[2, 5, 6, 10, 18, 8, 0, 1, 2, 3, 4, -1, 14]`
23. `rows.append(rate)` `rows.append(0)` `rows` becomes `[2, 5, 6, 10, 18, 8, 0, 1, 2, 3, 4, -1, 14, 0]`
24. `rows.append(len(parts))` `rows.append(2)` `rows` becomes `[2, 5, 6, 10, 18, 8, 0, 1, 2, 3, 4, -1, 14, 0, 2]`

ANSWER: [2, 5, 6, 10, 18, 8, 0, 1, 2, 3, 4, -1, 14, 0, 2]
Reasoning not captured

(no reasoning captured)

Realized dims 17
dimvalue
aliasing_on1.0
answer_size48.0
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_statements30.0
n_variables10.0
negative_modulo_on1.0
shadowing_on1.0
trace_length36.0
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_statements19.0
n_variables3.0
negative_modulo_on1.0
shadowing_on1.0