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Record 324df50c3c1f41f9a9a547b7a0f0f6ae

FAIL

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

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

finish_reason: stop · tokens in/out: 251/1076 · cost: $0.000348 · latency: 24078.1 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=foil:value_semantics;n_stmts=27;trace_len=36;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: 324df50c

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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 719 chars · 251 tokens in
Here is a short Python program.

```python
batch = [1, 3]
spare = 1
budget = 4
budget = budget - 5
for elem in batch:
    spare += elem
    spare -= spare
scores = batch
scores[-1] = 13

def combine(w):
    spare = w * 2 + 1
    return spare + 1

count = combine(4)
batch.append(spare + count)
for r in range(6):
    batch.append(r)
factor = spare - 8
reserve = factor // 7
batch.append(reserve)

def grow(val, amt=[]):
    amt.append(val)
    return len(amt)

value = grow(3)
shift = grow(4)
batch.append(shift)
batch.append(spare)
batch.append(budget)
```

After this program runs, what is the value of `batch`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 1,076 tokens out · finish: stop
Let's trace the execution of the Python code step by step.

1. `batch = [1, 3]`
2. `spare = 1`
3. `budget = 4`
4. `budget = budget - 5`  => `budget = 4 - 5 = -1`
5. `for elem in batch:`
   - `elem = 1`: `spare += elem` => `spare = 1 + 1 = 2`. `spare -= spare` => `spare = 2 - 2 = 0`
   - `elem = 3`: `spare += elem` => `spare = 0 + 3 = 3`. `spare -= spare` => `spare = 3 - 3 = 0`
6. `scores = batch` => `scores = [1, 3]`
7. `scores[-1] = 13` => `scores = [1, 13]` (This does not affect `batch`)
8. `def combine(w): ...` (function definition, not executed yet)
9. `count = combine(4)`
   - `spare = 4 * 2 + 1 = 9`
   - `return 9 + 1 = 10` => `count = 10`
10. `batch.append(spare + count)` => `batch.append(0 + 10)` => `batch.append(10)` => `batch = [1, 3, 10]`
11. `for r in range(6):`
    - `r = 0`: `batch.append(0)` => `batch = [1, 3, 10, 0]`
    - `r = 1`: `batch.append(1)` => `batch = [1, 3, 10, 0, 1]`
    - `r = 2`: `batch.append(2)` => `batch = [1, 3, 10, 0, 1, 2]`
    - `r = 3`: `batch.append(3)` => `batch = [1, 3, 10, 0, 1, 2, 3]`
    - `r = 4`: `batch.append(4)` => `batch = [1, 3, 10, 0, 1, 2, 3, 4]`
    - `r = 5`: `batch.append(5)` => `batch = [1, 3, 10, 0, 1, 2, 3, 4, 5]`
12. `factor = spare - 8` => `factor = 0 - 8 = -8`
13. `reserve = factor // 7` => `reserve = -8 // 7 = -2`
14. `batch.append(reserve)` => `batch.append(-2)` => `batch = [1, 3, 10, 0, 1, 2, 3, 4, 5, -2]`
15. `def grow(val, amt=[]): ...` (function definition, not executed yet)
16. `value = grow(3)`
    - `amt = []` (default argument, initialized only once)
    - `amt.append(3)` => `amt = [3]`
    - `return len(amt)` => `return 1` => `value = 1`
17. `shift = grow(4)`
    - `amt = [3]` (from previous call)
    - `amt.append(4)` => `amt = [3, 4]`
    - `return len(amt)` => `return 2` => `shift = 2`
18. `batch.append(shift)` => `batch.append(2)` => `batch = [1, 3, 10, 0, 1, 2, 3, 4, 5, -2, 2]`
19. `batch.append(spare)` => `batch.append(0)` => `batch = [1, 3, 10, 0, 1, 2, 3, 4, 5, -2, 2, 0]`
20. `batch.append(budget)` => `batch.append(-1)` => `batch = [1, 3, 10, 0, 1, 2, 3, 4, 5, -2, 2, 0, -1]`

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

(no reasoning captured)

Realized dims 17
dimvalue
aliasing_on1.0
answer_size43.0
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_variables9.0
negative_modulo_on1.0
shadowing_on1.0
trace_length36.0
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