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Into the Unknown Integrity Node Pass Rate

Science · 2026-10-13

Node-level integrity grading on the 15 Into the Unknown research problems. An agent receives a published paper with its code and data and a follow-up direction proposed by one of its authors, a scientist at or formerly at a US Department of Energy national laboratory, and must write the follow-up paper with code and logs. Submissions are graded by a GPT-6 Astra agentic judge, four times with per-node majority voting, against an integrity rubric and a direction-specific rubric built from the scientist's stated conditions. Fifteen problems per agent make it a diagnostic. The score is the percentage of integrity-rubric nodes, which check for fabricated or unverifiable claims, that received their highest rating across the agent's submissions.

Top models (higher is better)

ModelScore
GPT-6 Astra97.8
Claude Opus 5.590.4
GPT-5.6 Sol88.7
Claude Fable 566.5
Opus 4.865.3
DeepSeek V4 Pro 081364.7
Claude Opus 559.5
Kimi K357.4
GLM-5.354.4
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