LLM post-training

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 2 of 4.

1. 1
   passed5h 6m into the runtook 11m 14s

   startup 113.4 s of 300 s; 1/1 gates passed; WARNING concurrent requests answered: 8 well-formed replies; 24 timed out after 250 s. Grading scores each such request as wrong, so 24 of 32 here would score zero.; One wave of 32 concurrent public requests stood for the suite's 3,153 graded ones

   7 gates

   • ✓review prerequisites
   • ✓checkpoint audit
   • ✓startup · GET /health answered 200 after 113.4 s
   • ✓GPQA request as graded · {"finish_reason": "stop", "answer": "B", "content_characters": 2363, "content_end": "particles becomes discrete and has a lower endpoint value.\n\nThe correct answer is option A.\n\n\\boxed{\\text{A}}\n\nANSWER: B"}
   • ✓slowest of 32 concurrent requests · 32 public requests at once (16 GPQA, 16 hard LiveCodeBench) as graded (max_tokens 16384, temperature 0.7, 250 s each): slowest 251.9 s, median 250.8 s; 0 stopped at max_tokens, 24 timed out. Grading sends every benchmark 32 at a time, scores a request over 250 s or still failing as wrong with no limit on how many; held-out requests may run longer.
   • ✓concurrent requests answered · 8 well-formed replies; 24 timed out after 250 s. Grading scores each such request as wrong, so 24 of 32 here would score zero.
   • ✓healthy after requests
2. 2
   passed7h 20m into the runtook 9m 42s

   startup 116.3 s of 300 s; 1/1 gates passed; One wave of 32 concurrent public requests stood for the suite's 3,153 graded ones at that concurrency; MATH-500 and MMLU-Pro are held out.

   7 gates

   • ✓review prerequisites
   • ✓checkpoint audit
   • ✓startup · GET /health answered 200 after 116.3 s
   • ✓GPQA request as graded · {"finish_reason": "stop", "answer": "B", "content_characters": 843, "content_end": "each with one H). Adding them together yields 4 + 2 = 6 chemically distinct hydrogen atoms.\n\n\\boxed{\\text{A}}\n\nANSWER: B"}
   • ✓slowest of 32 concurrent requests · 32 public requests at once (16 GPQA, 16 hard LiveCodeBench) as graded (max_tokens 16384, temperature 0.7, 250 s each): slowest 206.4 s, median 64.3 s; 12 stopped at max_tokens, 0 timed out. Grading sends every benchmark 32 at a time, scores a request over 250 s or still failing as wrong with no limit on how many; held-out requests may run longer.
   • ✓concurrent requests answered · 32 well-formed replies
   • ✓healthy after requests

The agent's last message before its session ended.