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 3 of 4.

1. 1
   passed1h 56m into the runtook 10m 57s

   startup 111.8 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 111.8 s
   • ✓GPQA request as graded · {"finish_reason": "stop", "answer": "B", "content_characters": 42532, "content_end": " Therefore, the correct answer is **B (or C, as they are identical)**.\n\n\\boxed{B} (since C is identical to B)\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 168.4 s, median 156.5 s; 0 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
2. 2
   passed4h 41m into the runtook 8m 51s

   startup 117.9 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 117.9 s
   • ✓GPQA request as graded · {"finish_reason": "stop", "answer": "B", "content_characters": 30295, "content_end": "e to each other remain the same. Thus, the ratio of flux between band 1 and band 2 remains **1**.\n\n**Answer**: \\boxed{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 182.4 s, median 167.1 s; 0 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
3. 3
   passed4h 56m into the runtook 8m 17s

   startup 115.9 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 115.9 s
   • ✓GPQA request as graded · {"finish_reason": "stop", "answer": "A", "content_characters": 21078, "content_end": "+DSG fixation, leading to reduced retention of protein-DNA complexes and thus disappearing peaks. \n\n\\boxed{A}\n\nANSWER: A"}
   • ✓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 187.9 s, median 176.1 s; 0 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.