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Record a584a91827694c96b0f09082c41877a3

FAIL

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

✕FAILanswered "ANSWER: [0, 6, 16, 30, 39, 3, 4, 5, -3, 2, 9, 4]" · model Gemma 3 27B

finish_reason: stop · tokens in/out: 329/1023 · cost: $0.000340 · latency: 42190.2 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=wrong_value;n_stmts=33;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: a584a918

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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 844 chars · 329 tokens in
Here is a short Python program.

```python
cells = [0, 6]
parts = [9, 2]
queue = [3, 9, 4]

def pack(bag, n=5):
    return bag * 2 + n

codes = [5, 8, 7, 9]
scores = codes
scores[-1] = 16
cells.append(codes[-1])
weight = 2

def measure(num):
    return num * weight

weight = 5
cells.append(measure(6))
peak = 2

def scale(arg):
    peak = arg * 2 + 1
    return peak + 1

score = scale(9)
cells.append(peak + score)
for r in range(3, 6):
    cells.append(r)
shift = 9 - 17
tally = shift % 5
cells.append(tally)

def collect(w, acc=[]):
    acc.append(w)
    return len(acc)

bonus = collect(9)
base = collect(7)
cells.append(base)
cells.append(parts[0])
cells.append(queue[-1])
```

After this program runs, what is the value of `cells`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 1,023 tokens out · finish: stop
Let's trace the execution of the Python code step by step.

1. `cells = [0, 6]`
2. `parts = [9, 2]`
3. `queue = [3, 9, 4]`
4. `def pack(bag, n=5): return bag * 2 + n` (function definition, not executed yet)
5. `codes = [5, 8, 7, 9]`
6. `scores = codes` (scores now refers to the same list as codes)
7. `scores[-1] = 16` (modifies the last element of both `scores` and `codes` to 16)
   `codes` is now `[5, 8, 7, 16]`
8. `cells.append(codes[-1])` (appends 16 to `cells`)
   `cells` is now `[0, 6, 16]`
9. `weight = 2`
10. `def measure(num): return num * weight` (function definition)
11. `weight = 5`
12. `cells.append(measure(6))` (measure(6) returns 6 * 5 = 30, appends 30 to `cells`)
    `cells` is now `[0, 6, 16, 30]`
13. `peak = 2`
14. `def scale(arg): peak = arg * 2 + 1; return peak + 1` (function definition)
15. `score = scale(9)` (scale(9) sets peak to 9 * 2 + 1 = 19, returns 19 + 1 = 20)
    `score` is 20. `peak` is now 19.
16. `cells.append(peak + score)` (appends 19 + 20 = 39 to `cells`)
    `cells` is now `[0, 6, 16, 30, 39]`
17. `for r in range(3, 6): cells.append(r)` (appends 3, 4, and 5 to `cells`)
    `cells` is now `[0, 6, 16, 30, 39, 3, 4, 5]`
18. `shift = 9 - 17` (shift is -8)
19. `tally = shift % 5` (tally is -8 % 5 = -3)
20. `cells.append(tally)` (appends -3 to `cells`)
    `cells` is now `[0, 6, 16, 30, 39, 3, 4, 5, -3]`
21. `def collect(w, acc=[]): acc.append(w); return len(acc)` (function definition)
22. `bonus = collect(9)` (collect(9) appends 9 to `acc`, returns 1)
    `bonus` is 1. `acc` inside `collect` is now `[9]`.
23. `base = collect(7)` (collect(7) appends 7 to `acc`, returns 2)
    `base` is 2. `acc` inside `collect` is now `[9, 7]`.
24. `cells.append(base)` (appends 2 to `cells`)
    `cells` is now `[0, 6, 16, 30, 39, 3, 4, 5, -3, 2]`
25. `cells.append(parts[0])` (appends 9 to `cells`)
    `cells` is now `[0, 6, 16, 30, 39, 3, 4, 5, -3, 2, 9]`
26. `cells.append(queue[-1])` (appends 4 to `cells`)
    `cells` is now `[0, 6, 16, 30, 39, 3, 4, 5, -3, 2, 9, 4]`

ANSWER: [0, 6, 16, 30, 39, 3, 4, 5, -3, 2, 9, 4]
Reasoning not captured

(no reasoning captured)

Realized dims 17
dimvalue
aliasing_on1.0
answer_size39.0
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_statements33.0
n_variables12.0
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_statements19.0
n_variables3.0
negative_modulo_on1.0
shadowing_on1.0