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Record 761f491a2e664389b420209de5ef2931

FAIL

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

✕FAILanswered "ANSWER: [3, 8, 5, 8, 11, 16, 49, 0, 1, 2, 3, 4, 5, -2, 11, 29, 3]" · model Gemma 3 27B

finish_reason: stop · tokens in/out: 309/1279 · cost: $0.000415 · latency: 18074.3 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=wrong_value;n_stmts=32;trace_len=42;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: 761f491a

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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 802 chars · 309 tokens in
Here is a short Python program.

```python
nums = [3, 8, 5, 8]
extra = 5
batch = [3, 5, 3, 3]
for elem in nums:
    extra += elem
cells = [4, 3]
rows = cells
rows[-1] = 11
nums.append(cells[-1])
amount = 4

def adjust(acc):
    return acc * amount

amount += 3
nums.append(adjust(4))

def combine(k):
    extra = k * 2 + 1
    return extra + 1

width = combine(9)
nums.append(extra + width)
for j in range(6):
    nums.append(j)
margin = extra - 37
depth = margin % 6
nums.append(depth)

def grow(n, v=[]):
    v.append(n)
    return len(v) + n

level = grow(3)
delta = grow(9)
nums.append(delta)
nums.append(extra)
nums.append(batch[0])
```

After this program runs, what is the value of `nums`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 1,279 tokens out · finish: stop
Let's trace the execution of the Python code step by step.

1. `nums = [3, 8, 5, 8]`
2. `extra = 5`
3. `batch = [3, 5, 3, 3]`
4. `for elem in nums:`:
   - `elem = 3`: `extra += 3` (extra becomes 8)
   - `elem = 8`: `extra += 8` (extra becomes 16)
   - `elem = 5`: `extra += 5` (extra becomes 21)
   - `elem = 8`: `extra += 8` (extra becomes 29)
5. `cells = [4, 3]`
6. `rows = cells` (rows is now a reference to cells)
7. `rows[-1] = 11` (cells is modified: cells becomes [4, 11])
8. `nums.append(cells[-1])` (nums becomes [3, 8, 5, 8, 11])
9. `amount = 4`
10. `def adjust(acc):`: ...
11. `amount += 3` (amount becomes 7)
12. `nums.append(adjust(4))` (adjust(4) returns 4 * 4 = 16, nums becomes [3, 8, 5, 8, 11, 16])
13. `def combine(k):`: ...
14. `width = combine(9)` (combine(9) returns (9 * 2 + 1) + 1 = 18 + 1 + 1 = 20, width becomes 20)
15. `nums.append(extra + width)` (nums becomes [3, 8, 5, 8, 11, 16, 29 + 20] = [3, 8, 5, 8, 11, 16, 49])
16. `for j in range(6):`:
   - `j = 0`: `nums.append(0)` (nums becomes [3, 8, 5, 8, 11, 16, 49, 0])
   - `j = 1`: `nums.append(1)` (nums becomes [3, 8, 5, 8, 11, 16, 49, 0, 1])
   - `j = 2`: `nums.append(2)` (nums becomes [3, 8, 5, 8, 11, 16, 49, 0, 1, 2])
   - `j = 3`: `nums.append(3)` (nums becomes [3, 8, 5, 8, 11, 16, 49, 0, 1, 2, 3])
   - `j = 4`: `nums.append(4)` (nums becomes [3, 8, 5, 8, 11, 16, 49, 0, 1, 2, 3, 4])
   - `j = 5`: `nums.append(5)` (nums becomes [3, 8, 5, 8, 11, 16, 49, 0, 1, 2, 3, 4, 5])
17. `margin = extra - 37` (margin becomes 29 - 37 = -8)
18. `depth = margin % 6` (depth becomes -8 % 6 = -2)
19. `nums.append(depth)` (nums becomes [3, 8, 5, 8, 11, 16, 49, 0, 1, 2, 3, 4, 5, -2])
20. `def grow(n, v=[]):`: ...
21. `level = grow(3)` (grow(3) appends 3 to v, returns len(v) + 3 = 1 + 3 = 4, level becomes 4)
22. `delta = grow(9)` (grow(9) appends 9 to v, returns len(v) + 9 = 2 + 9 = 11, delta becomes 11)
23. `nums.append(delta)` (nums becomes [3, 8, 5, 8, 11, 16, 49, 0, 1, 2, 3, 4, 5, -2, 11])
24. `nums.append(extra)` (nums becomes [3, 8, 5, 8, 11, 16, 49, 0, 1, 2, 3, 4, 5, -2, 11, 29])
25. `nums.append(batch[0])` (nums becomes [3, 8, 5, 8, 11, 16, 49, 0, 1, 2, 3, 4, 5, -2, 11, 29, 3])

ANSWER: [3, 8, 5, 8, 11, 16, 49, 0, 1, 2, 3, 4, 5, -2, 11, 29, 3]
Reasoning not captured

(no reasoning captured)

Realized dims 17
dimvalue
aliasing_on1.0
answer_size56.0
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_matches0.0
n_live_aliases1.0
n_statements32.0
n_variables11.0
negative_modulo_on1.0
shadowing_on1.0
trace_length42.0
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