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Record 6557883b38354a8b98a6810a3145c783

FAIL

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

✕FAILanswered "ANSWER: [11, 7, 9, 14, 20, 0, 1, 2, 3, 4, 5, -1, 12, 4, 4]" · model Gemma 3 27B

finish_reason: stop · tokens in/out: 306/1223 · cost: $0.000397 · latency: 14207.9 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=foil:truncating_modulo;n_stmts=29;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: 6557883b

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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 758 chars · 306 tokens in
Here is a short Python program.

```python
rows = [9, 7, 9]
marks = [2, 1, 4, 9]
nums = [4, 5, 5, 1]
stack = rows
stack[0] = 11
margin = 5

def bump(n):
    return n + margin

margin = 9
rows.append(bump(5))
tally = 6

def combine(v):
    tally = v * 2 + 1
    return tally + 1

size = combine(6)
rows.append(tally + size)
for r in range(6):
    rows.append(r)
cost = 3 - 12
step = cost % 4
rows.append(step)

def apply_rate(m, acc=[]):
    acc.append(m)
    return len(acc) + m

base = apply_rate(3)
peak = apply_rate(6)
rows.append(base + peak)
rows.append(len(marks))
rows.append(len(nums))
```

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 1,223 tokens out · finish: stop
Let's trace the execution of the Python code step by step.

1. `rows = [9, 7, 9]`
2. `marks = [2, 1, 4, 9]`
3. `nums = [4, 5, 5, 1]`
4. `stack = rows`  (Now `stack` refers to the same list as `rows`)
5. `stack[0] = 11` (This modifies `rows` as well, so `rows` becomes `[11, 7, 9]`)
6. `margin = 5`
7. `margin = 9` (The previous value of `margin` is overwritten)
8. `rows.append(bump(5))`  `bump(5)` returns `5 + 9 = 14`.  `rows` becomes `[11, 7, 9, 14]`
9. `tally = 6`
10. `def combine(v): ...` (This defines a function, but doesn't execute it yet)
11. `size = combine(6)`  `combine(6)` calculates `tally = 6 * 2 + 1 = 13`, then returns `13 + 1 = 14`.  `size` becomes 14.
12. `rows.append(tally + size)`  `tally + size = 6 + 14 = 20`.  `rows` becomes `[11, 7, 9, 14, 20]`
13. `for r in range(6): ...`  This loop iterates from `r = 0` to `r = 5`.
   - `r = 0`: `rows.append(0)`  `rows` becomes `[11, 7, 9, 14, 20, 0]`
   - `r = 1`: `rows.append(1)`  `rows` becomes `[11, 7, 9, 14, 20, 0, 1]`
   - `r = 2`: `rows.append(2)`  `rows` becomes `[11, 7, 9, 14, 20, 0, 1, 2]`
   - `r = 3`: `rows.append(3)`  `rows` becomes `[11, 7, 9, 14, 20, 0, 1, 2, 3]`
   - `r = 4`: `rows.append(4)`  `rows` becomes `[11, 7, 9, 14, 20, 0, 1, 2, 3, 4]`
   - `r = 5`: `rows.append(5)`  `rows` becomes `[11, 7, 9, 14, 20, 0, 1, 2, 3, 4, 5]`
14. `cost = 3 - 12 = -9`
15. `step = cost % 4 = -9 % 4 = -1`
16. `rows.append(step)`  `rows` becomes `[11, 7, 9, 14, 20, 0, 1, 2, 3, 4, 5, -1]`
17. `def apply_rate(m, acc=[]): ...` (Defines a function)
18. `base = apply_rate(3)`  `apply_rate(3)`: `acc.append(3)`, `acc` is now `[3]`. Returns `len(acc) + 3 = 1 + 3 = 4`. `base` becomes 4.
19. `peak = apply_rate(6)`  `apply_rate(6)`: `acc.append(6)`, `acc` is now `[3, 6]`. Returns `len(acc) + 6 = 2 + 6 = 8`. `peak` becomes 8.
20. `rows.append(base + peak)`  `base + peak = 4 + 8 = 12`.  `rows` becomes `[11, 7, 9, 14, 20, 0, 1, 2, 3, 4, 5, -1, 12]`
21. `rows.append(len(marks))`  `len(marks) = 4`.  `rows` becomes `[11, 7, 9, 14, 20, 0, 1, 2, 3, 4, 5, -1, 12, 4]`
22. `rows.append(len(nums))`  `len(nums) = 4`.  `rows` becomes `[11, 7, 9, 14, 20, 0, 1, 2, 3, 4, 5, -1, 12, 4, 4]`

ANSWER: [11, 7, 9, 14, 20, 0, 1, 2, 3, 4, 5, -1, 12, 4, 4]
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_on1.0
max_nesting1.0
mutable_default_on1.0
n_closures1.0
n_foil_matches1.0
n_live_aliases1.0
n_statements29.0
n_variables11.0
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_statements6.0
n_variables3.0
negative_modulo_on1.0
shadowing_on1.0