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Record 656520a872334be19c647dffd1241b77

FAIL

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

✕FAILanswered "ANSWER: 35" · model Gemma 3 27B

finish_reason: stop · tokens in/out: 230/629 · cost: $0.000212 · latency: 9918.3 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=foil:value_semantics,fresh_default;n_stmts=26;trace_len=31;traps=aliasing_on=1;late_binding_on=1;shadowing_on=0;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: 656520a8

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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 653 chars · 230 tokens in
Here is a short Python program.

```python
depth = 1
level = 6
quota = 6
quota -= level
depth += quota
marks = [3, 3, 1]
queue = marks
queue += [12]
depth += len(marks)
width = 3

def shift_by(bag):
    return bag + width

width = 8
depth += shift_by(4)
for j in range(4):
    depth += j
tally = level - 15
amount = tally // 5
depth += amount

def adjust(arg, val=[]):
    val.append(arg)
    return len(val)

budget = adjust(1)
step = adjust(4)
depth += budget + step
depth += level * 2
```

After this program runs, what is the value of `depth`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 629 tokens out · finish: stop
Let's trace the execution of the Python code step by step to determine the final value of `depth`.

1. `depth = 1`
2. `level = 6`
3. `quota = 6`
4. `quota -= level`  => `quota = 6 - 6 = 0`
5. `depth += quota` => `depth = 1 + 0 = 1`
6. `marks = [3, 3, 1]`
7. `queue = marks` => `queue = [3, 3, 1]`
8. `queue += [12]` => `queue = [3, 3, 1, 12]`
9. `depth += len(marks)` => `depth = 1 + 3 = 4`
10. `width = 3`

11. `def shift_by(bag):`
   `return bag + width`

12. `width = 8`
13. `depth += shift_by(4)` => `depth += (4 + 8)` => `depth += 12` => `depth = 4 + 12 = 16`
14. `for j in range(4):`
   `depth += j`
   - `j = 0`: `depth = 16 + 0 = 16`
   - `j = 1`: `depth = 16 + 1 = 17`
   - `j = 2`: `depth = 17 + 2 = 19`
   - `j = 3`: `depth = 19 + 3 = 22`

15. `tally = level - 15` => `tally = 6 - 15 = -9`
16. `amount = tally // 5` => `amount = -9 // 5 = -2`
17. `depth += amount` => `depth = 22 + (-2) = 20`

18. `def adjust(arg, val=[]):`
   `val.append(arg)`
   `return len(val)`

19. `budget = adjust(1)` => `val = [1]`, `budget = 1`
20. `step = adjust(4)` => `val = [1, 4]`, `step = 2`
21. `depth += budget + step` => `depth = 20 + 1 + 2 = 23`
22. `depth += level * 2` => `depth = 23 + 6 * 2 = 23 + 12 = 35`

Therefore, the final value of `depth` is 35.

ANSWER: 35
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_on1.0
late_binding_on1.0
max_nesting1.0
mutable_default_on1.0
n_closures1.0
n_foil_matches2.0
n_live_aliases1.0
n_statements26.0
n_variables10.0
negative_modulo_on1.0
shadowing_on0.0
trace_length31.0
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_on1.0
n_statements18.0
n_variables3.0
negative_modulo_on1.0
shadowing_on0.0