Data to …… trials

Record 53bae637b1cd4269b135464ec6c7e79d

FAIL

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

✕FAILanswered "ANSWER: 114" · model Gemma 3 27B

finish_reason: stop · tokens in/out: 279/798 · cost: $0.000267 · latency: 9743.5 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=foil:truncating_modulo;n_stmts=31;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: 53bae637

← prev trial · trial 112 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 759 chars · 279 tokens in
Here is a short Python program.

```python
amount = 8
mode = 'ab'
text = 'cat'
bins = [1, 1, 9]
stack = bins
stack[0] = 14
amount += bins[0]
factor = 2

def combine(q):
    return q * factor

factor = 8
amount += combine(6)
quota = 4

def adjust(num):
    quota = num * 2 + 1
    return quota + 1

cost = adjust(8)
amount += quota + cost
for r in range(4):
    amount += r
shift = amount - 106
spare = shift % 7
amount += spare

def shift_by(n, k=[]):
    k.append(n)
    return len(k) + n

size = shift_by(2)
level = shift_by(7)
amount += size + level
amount += len(mode)
amount += len(text)
```

After this program runs, what is the value of `amount`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 798 tokens out · finish: stop
Let's trace the execution of the Python code step by step.

1. `amount = 8`
2. `mode = 'ab'`
3. `text = 'cat'`
4. `bins = [1, 1, 9]`
5. `stack = bins`  (stack and bins now refer to the same list)
6. `stack[0] = 14` (bins[0] is also changed to 14)
7. `amount += bins[0]`  `amount = 8 + 14 = 22`
8. `factor = 2`

9. `def combine(q):`
   `return q * factor`

10. `factor = 8`
11. `amount += combine(6)` `amount = 22 + (6 * 8) = 22 + 48 = 70`
12. `quota = 4`

13. `def adjust(num):`
    `quota = num * 2 + 1`
    `return quota + 1`

14. `cost = adjust(8)` `quota` inside `adjust` becomes `8 * 2 + 1 = 17`.  `adjust` returns `17 + 1 = 18`. `cost = 18`
15. `amount += quota + cost` `amount = 70 + 4 + 18 = 92`

16. `for r in range(4):`
    `amount += r`
    - `r = 0`: `amount = 92 + 0 = 92`
    - `r = 1`: `amount = 92 + 1 = 93`
    - `r = 2`: `amount = 93 + 2 = 95`
    - `r = 3`: `amount = 95 + 3 = 98`

17. `shift = amount - 106` `shift = 98 - 106 = -8`
18. `spare = shift % 7` `spare = -8 % 7 = -1`
19. `amount += spare` `amount = 98 + (-1) = 97`

20. `def shift_by(n, k=[]):`
    `k.append(n)`
    `return len(k) + n`

21. `size = shift_by(2)` `k` is initialized as `[]`. `k.append(2)`, `k` becomes `[2]`. Returns `len(k) + 2 = 1 + 2 = 3`. `size = 3`
22. `level = shift_by(7)` `k` is still `[2]` from the previous call. `k.append(7)`, `k` becomes `[2, 7]`. Returns `len(k) + 7 = 2 + 7 = 9`. `level = 9`
23. `amount += size + level` `amount = 97 + 3 + 9 = 109`
24. `amount += len(mode)` `amount = 109 + len('ab') = 109 + 2 = 111`
25. `amount += len(text)` `amount = 111 + len('cat') = 111 + 3 = 114`

ANSWER: 114
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_statements31.0
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_statements6.0
n_variables3.0
negative_modulo_on1.0
shadowing_on1.0