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Record 7d178866bc16458183d19d75ae58e6ce

FAIL

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

✕FAILanswered "ANSWER: [1, 7, 9, 2, 2, 4, 24, 0, 1, 2, 3, 4, 5, 3, 3, 8]" · model Gemma 3 27B

finish_reason: stop · tokens in/out: 286/1232 · cost: $0.000398 · latency: 24139.1 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=foil:value_semantics;n_stmts=27;trace_len=33;traps=aliasing_on=1;late_binding_on=0;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: 7d178866

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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 742 chars · 286 tokens in
Here is a short Python program.

```python
codes = [1, 7, 9, 2]
width = 4
batch = [1, 1]
if width < 6:
    codes.append(len(batch))
else:
    batch.append(width)
stack = [1, 7, 5, 5]
queue = stack
queue += [11]
codes.append(len(stack))

def pack(val):
    width = val * 2 + 1
    return width + 1

extra = pack(9)
codes.append(width + extra)
for j in range(6):
    codes.append(j)
step = width - 8
peak = step % 7
codes.append(peak)

def scale(w, n=[]):
    n.append(w)
    return len(n)

offset = scale(9)
count = scale(2)
codes.append(offset + count)
codes.append(width * 2)
```

After this program runs, what is the value of `codes`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 1,232 tokens out · finish: stop
Let's trace the execution of the Python code step by step.

1. `codes = [1, 7, 9, 2]`
2. `width = 4`
3. `batch = [1, 1]`
4. `if width < 6:` (4 < 6 is true)
   `codes.append(len(batch))`  `codes` becomes `[1, 7, 9, 2, 2]`
5. `else:` (skipped)
6. `stack = [1, 7, 5, 5]`
7. `queue = stack`  `queue` becomes `[1, 7, 5, 5]`
8. `queue += [11]`  `queue` becomes `[1, 7, 5, 5, 11]`
9. `codes.append(len(stack))`  `codes` becomes `[1, 7, 9, 2, 2, 4]`
10. `def pack(val):` (function definition, not executed yet)
11. `extra = pack(9)`
   `width = 9 * 2 + 1 = 19`
   `return 19 + 1 = 20`
   `extra` becomes 20
12. `codes.append(width + extra)`  `codes` becomes `[1, 7, 9, 2, 2, 4, 4 + 20]` which is `[1, 7, 9, 2, 2, 4, 24]`
13. `for j in range(6):`
   - `j = 0`: `codes.append(0)`  `codes` becomes `[1, 7, 9, 2, 2, 4, 24, 0]`
   - `j = 1`: `codes.append(1)`  `codes` becomes `[1, 7, 9, 2, 2, 4, 24, 0, 1]`
   - `j = 2`: `codes.append(2)`  `codes` becomes `[1, 7, 9, 2, 2, 4, 24, 0, 1, 2]`
   - `j = 3`: `codes.append(3)`  `codes` becomes `[1, 7, 9, 2, 2, 4, 24, 0, 1, 2, 3]`
   - `j = 4`: `codes.append(4)`  `codes` becomes `[1, 7, 9, 2, 2, 4, 24, 0, 1, 2, 3, 4]`
   - `j = 5`: `codes.append(5)`  `codes` becomes `[1, 7, 9, 2, 2, 4, 24, 0, 1, 2, 3, 4, 5]`
14. `step = width - 8`  `step = 4 - 8 = -4`
15. `peak = step % 7`  `peak = -4 % 7 = 3`
16. `codes.append(peak)`  `codes` becomes `[1, 7, 9, 2, 2, 4, 24, 0, 1, 2, 3, 4, 5, 3]`
17. `def scale(w, n=[]):` (function definition, not executed yet)
18. `offset = scale(9)`
   `n.append(9)`  `n` becomes `[9]`
   `return len(n)`  returns 1
   `offset` becomes 1
19. `count = scale(2)`
   `n.append(2)`  `n` becomes `[9, 2]`
   `return len(n)`  returns 2
   `count` becomes 2
20. `codes.append(offset + count)`  `codes` becomes `[1, 7, 9, 2, 2, 4, 24, 0, 1, 2, 3, 4, 5, 3, 1 + 2]` which is `[1, 7, 9, 2, 2, 4, 24, 0, 1, 2, 3, 4, 5, 3, 3]`
21. `codes.append(width * 2)`  `codes` becomes `[1, 7, 9, 2, 2, 4, 24, 0, 1, 2, 3, 4, 5, 3, 3, 4 * 2]` which is `[1, 7, 9, 2, 2, 4, 24, 0, 1, 2, 3, 4, 5, 3, 3, 8]`

ANSWER: [1, 7, 9, 2, 2, 4, 24, 0, 1, 2, 3, 4, 5, 3, 3, 8]
Reasoning not captured

(no reasoning captured)

Realized dims 17
dimvalue
aliasing_on1.0
answer_size49.0
distractor_fraction0.0
identifier_confusability0.0
inclusive_range_trap_on1.0
late_binding_on0.0
max_nesting1.0
mutable_default_on1.0
n_closures0.0
n_foil_matches1.0
n_live_aliases1.0
n_statements27.0
n_variables10.0
negative_modulo_on1.0
shadowing_on1.0
trace_length33.0
traps_on5.0
Latent params 11
paramvalue
aliasing_on1.0
distractor_fraction0.0
identifier_confusability0.0
inclusive_range_trap_on1.0
late_binding_on0.0
max_nesting1.0
mutable_default_on1.0
n_statements18.0
n_variables3.0
negative_modulo_on1.0
shadowing_on1.0