Data to …… trials

Record 51210773409c439297a3aebe98040d01

FAIL

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

✕FAILanswered "ANSWER: 112" · model Gemma 3 27B

finish_reason: stop · tokens in/out: 281/771 · cost: $0.000259 · latency: 25488.3 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=foil:fresh_default;n_stmts=32;trace_len=39;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: 51210773

← prev trial · trial 51 of 133 · next trial →

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 752 chars · 281 tokens in
Here is a short Python program.

```python
size = 4
step = 2
title = 'kit'
title = title[1:]
step = size * 2
batch = [3, 1]
values = batch
values[0] = 17
size += batch[0]
shift = 2

def shift_by(v):
    return v + shift

shift = 5
size += shift_by(3)

def pack(w):
    step = w * 2 + 1
    return step + 1

total = pack(4)
size += step + total
for idx in range(6):
    size += idx * 3
spare = step - 10
limit = spare % 4
size += limit

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

weight = grow(3)
value = grow(3)
size += weight + value
size += step
size += len(title)
```

After this program runs, what is the value of `size`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 771 tokens out · finish: stop
Let's trace the execution of the Python code step by step to determine the final value of `size`.

1. `size = 4`
2. `step = 2`
3. `title = 'kit'`
4. `title = title[1:]`  # title becomes 'it'
5. `step = size * 2`  # step = 4 * 2 = 8
6. `batch = [3, 1]`
7. `values = batch`  # values now refers to the same list as batch
8. `values[0] = 17`  # batch[0] is also modified, so batch becomes [17, 1]
9. `size += batch[0]`  # size = 4 + 17 = 21
10. `shift = 2`
11. `def shift_by(v): ...`
12. `shift = 5`
13. `size += shift_by(3)`  # size = 21 + (3 + 5) = 21 + 8 = 29
14. `def pack(w): ...`
15. `total = pack(4)`  # total = (4 * 2 + 1) + 1 = 8 + 1 + 1 = 10
16. `size += step + total`  # size = 29 + 8 + 10 = 47
17. `for idx in range(6): ...`
   - `idx = 0`: `size += 0 * 3`  # size = 47
   - `idx = 1`: `size += 1 * 3`  # size = 47 + 3 = 50
   - `idx = 2`: `size += 2 * 3`  # size = 50 + 6 = 56
   - `idx = 3`: `size += 3 * 3`  # size = 56 + 9 = 65
   - `idx = 4`: `size += 4 * 3`  # size = 65 + 12 = 77
   - `idx = 5`: `size += 5 * 3`  # size = 77 + 15 = 92
18. `spare = step - 10`  # spare = 8 - 10 = -2
19. `limit = spare % 4`  # limit = -2 % 4 = 2
20. `size += limit`  # size = 92 + 2 = 94
21. `def grow(val, n=[]): ...`
22. `weight = grow(3)`  # grow(3) returns 1 + 3 = 4, weight = 4
23. `value = grow(3)`  # grow(3) returns 1 + 3 = 4, value = 4
24. `size += weight + value`  # size = 94 + 4 + 4 = 102
25. `size += step`  # size = 102 + 8 = 110
26. `size += len(title)`  # size = 110 + 2 = 112

ANSWER: 112
Reasoning not captured

(no reasoning captured)

Realized dims 17
dimvalue
aliasing_on1.0
answer_size3.0
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_statements32.0
n_variables11.0
negative_modulo_on1.0
shadowing_on1.0
trace_length39.0
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