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Record da3a13a9f39f463b861c1e9282d7c792

FAIL

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

✕FAILanswered "ANSWER: 124" · model Gemma 3 27B

finish_reason: stop · tokens in/out: 286/813 · cost: $0.000273 · latency: 12564.1 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=foil:truncating_modulo;n_stmts=33;trace_len=41;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: da3a13a9

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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 808 chars · 286 tokens in
Here is a short Python program.

```python
budget = 7
slots = [7, 4]
word = 'red'
for entry in slots:
    budget -= entry
marks = [1, 2, 0]
nums = marks
nums += [16]
budget += len(marks)
offset = 5

def collect(acc):
    return acc * offset

offset += 3
budget += collect(6)
amount = 8

def bump(k):
    amount = k * 2 + 1
    return amount + 1

bonus = bump(6)
budget += amount + bonus
for j in range(6):
    budget += j * 3
delta = budget - 119
level = delta % 3
budget += level

def pack(num, n=[]):
    n.append(num)
    return len(n)

reserve = pack(8)
credit = pack(5)
budget += reserve + credit
budget += slots[-1]
budget += len(word)
```

After this program runs, what is the value of `budget`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 813 tokens out · finish: stop
Let's trace the execution of the Python code step by step.

1. `budget = 7`
2. `slots = [7, 4]`
3. `word = 'red'`
4. `for entry in slots:`
   - `entry = 7`: `budget = 7 - 7 = 0`
   - `entry = 4`: `budget = 0 - 4 = -4`
5. `marks = [1, 2, 0]`
6. `nums = marks` (nums and marks now point to the same list)
7. `nums += [16]` (marks is also modified): `nums` and `marks` are now `[1, 2, 0, 16]`
8. `budget += len(marks)`: `budget = -4 + 4 = 0`
9. `offset = 5`
10. `def collect(acc):` ...
11. `offset += 3`: `offset = 5 + 3 = 8`
12. `budget += collect(6)`: `budget += 6 * 8 = 0 + 48 = 48`
13. `amount = 8`
14. `def bump(k):` ...
15. `bonus = bump(6)`: `bonus = (6 * 2 + 1) + 1 = 12 + 1 + 1 = 14`
16. `budget += amount + bonus`: `budget = 48 + 8 + 14 = 70`
17. `for j in range(6):`
   - `j = 0`: `budget = 70 + 0 * 3 = 70`
   - `j = 1`: `budget = 70 + 1 * 3 = 73`
   - `j = 2`: `budget = 73 + 2 * 3 = 79`
   - `j = 3`: `budget = 79 + 3 * 3 = 88`
   - `j = 4`: `budget = 88 + 4 * 3 = 100`
   - `j = 5`: `budget = 100 + 5 * 3 = 115`
18. `delta = budget - 119`: `delta = 115 - 119 = -4`
19. `level = delta % 3`: `level = -4 % 3 = -1`
20. `budget += level`: `budget = 115 + (-1) = 114`
21. `def pack(num, n=[]):` ...
22. `reserve = pack(8)`: `n` is initialized to `[]`, `n.append(8)`, returns `len(n) = 1`. `reserve = 1`
23. `credit = pack(5)`: `n` is still `[8]` from the previous call, `n.append(5)`, returns `len(n) = 2`. `credit = 2`
24. `budget += reserve + credit`: `budget = 114 + 1 + 2 = 117`
25. `budget += slots[-1]`: `budget = 117 + 4 = 121`
26. `budget += len(word)`: `budget = 121 + 3 = 124`

ANSWER: 124
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_statements33.0
n_variables12.0
negative_modulo_on1.0
shadowing_on1.0
trace_length41.0
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