AR to diffusion conversion

After grading, a reviewer model reads the submission's files and the agent's trajectory and checks each of the task's rules. A failed check makes the score 0. Step numbers link into the trajectory.

LLM adversarial review is not proof of arbitrary program behavior. Host storage and task-specific deterministic checks remain required.

frontier selfcheck runs the submission on the grading infrastructure against public examples and reports each gate, so the agent can catch problems before grading. Each run gets four. This agent used 4 of 4.

1. 1
   passed3h 44m into the runtook 6m 51s

   startup 82.0 s of 300 s; 1/1 gates passed; The suite's 32 concurrent requests per copy, up to 3600 s each, were not sent; one request at its settings was.

   5 gates

   • ✓review prerequisites
   • ✓startup · GET /health answered 200 after 82.0 s
   • ✓single-stream speed · 8 of 8 measured prompts, sent one at a time after an untimed warm-up (max_tokens 1024, temperature 1), each reply's reasoning and answer tokens counted with the pinned openbmb/MiniCPM5-2B tokenizer over end-to-end request time (sandbox clock), a miss re-sent once; slowest 510 tokens/s (979 tokens in 1.92 s); per prompt: 513, 584, 510, 592, 957, 534, 964, 520. Public prompts: 7 GPQA and 2 hard LiveCodeBench; grading draws 4 GPQA, 3 level-5 MATH-500 (held out) and 2 hard LiveCodeBench, so its replies differ.
   • ✓GPQA request as graded (self-check cap 291 s; grading allows 3600 s) · {"finish_reason": "stop", "answer": "B", "content_characters": 28484, "content_end": "1}{L_2} = 2.25 \\cdot 1 = 2.25 \\]\n\nThus, the luminosity of Star_1 is greater than that of Star_2 by a factor of ~2.25.\n\nB"}
   • ✓healthy after requests
2. 2
   passed3h 59m into the runtook 5m

   startup 98.3 s of 300 s; 1/1 gates passed; The suite's 32 concurrent requests per copy, up to 3600 s each, were not sent; one request at its settings was.

   5 gates

   • ✓review prerequisites
   • ✓startup · GET /health answered 200 after 98.3 s
   • ✓single-stream speed · 8 of 8 measured prompts, sent one at a time after an untimed warm-up (max_tokens 1024, temperature 1), each reply's reasoning and answer tokens counted with the pinned openbmb/MiniCPM5-2B tokenizer over end-to-end request time (sandbox clock), a miss re-sent once; slowest 678 tokens/s (1006 tokens in 1.48 s); per prompt: 681, 790, 810, 798, 790, 805, 770, 678. Public prompts: 7 GPQA and 2 hard LiveCodeBench; grading draws 4 GPQA, 3 level-5 MATH-500 (held out) and 2 hard LiveCodeBench, so its replies differ.
   • ✓GPQA request as graded (self-check cap 291 s; grading allows 3600 s) · {"finish_reason": "stop", "answer": "B", "content_characters": 13934, "content_end": "e orbital period ratio. Therefore, the orbital period of Planet3 is approximately 33.2 times that of Planet1.\n\nANSWER: B"}
   • ✓healthy after requests
3. 3
   passed4h 16m into the runtook 9m 12s

   startup 113.2 s of 300 s; 1/1 gates passed; The suite's 32 concurrent requests per copy, up to 3600 s each, were not sent; one request at its settings was.

   5 gates

   • ✓review prerequisites
   • ✓startup · GET /health answered 200 after 113.2 s
   • ✓single-stream speed · 8 of 8 measured prompts, sent one at a time after an untimed warm-up (max_tokens 1024, temperature 1), each reply's reasoning and answer tokens counted with the pinned openbmb/MiniCPM5-2B tokenizer over end-to-end request time (sandbox clock), a miss re-sent once; slowest 466 tokens/s (493 tokens in 1.06 s); per prompt: 772, 640, 466, 656, 764, 765, 793, 768. Public prompts: 7 GPQA and 2 hard LiveCodeBench; grading draws 4 GPQA, 3 level-5 MATH-500 (held out) and 2 hard LiveCodeBench, so its replies differ.
   • ✓GPQA request as graded (self-check cap 291 s; grading allows 3600 s) · {"note": "no reply within the self-check's 291 s cap; grading allows 3600 s, so this was not measured", "attempts": 1, "error": "RuntimeError: Submission HTTP request failed: TimeoutError: timed out"}
   • ✓healthy after requests
4. 4
   failed4h 32m into the runtook 7m 19s

   failed startup: Server did not become healthy in 300s (last /health probe: RuntimeError: Submission HTTP request failed: ConnectionRefusedError: [Errno 111] Connection refused); end of its log: [serve.sh] installing vendored wheels into /tmp/pylibs ... [serve.sh] starting server ... Tracebac

   2 gates

   • ✓review prerequisites
   • ✗startup · Server did not become healthy in 300s (last /health probe: RuntimeError: Submission HTTP request failed: ConnectionRefusedError: [Errno 111] Connection refused); end of its log: [serve.sh] installing vendored wheels into /tmp/pylibs ... [serve.sh] starting server ... Traceback (most recent call last): File "/submission/serve/server.py", line 278, in <module> main() File "/submission/serve/server.py", line 264, in main data = engine.run_single({"prompt_ids": warmup_ids, "max_tokens": 64, "temperature": 1.0, "top_p": 1.0}, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/tmp/pylibs/torch/utils/_contextlib.py", line 120, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/submission/serve/engine.py", line 207, in run_single self._prefill_single(prompt_ids, P) File "/submission/serve/engine.py", line 137, in _prefill_single self.p_bias.masked_fill_((j > i) | (j >= P), float("-inf")) RuntimeError: The expanded size of the tensor (8192) must match the existing size (512) at non-singleton dimension 3. Target sizes: [1, 1, 8192, 8192]. Tensor sizes: [512, 512]

The agent's last message before its session ended.