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)
| Model | Score |
|---|---|
| GPT-6 Astra | 97.8 |
| Claude Opus 5.5 | 90.4 |
| GPT-5.6 Sol | 88.7 |
| Claude Fable 5 | 66.5 |
| Opus 4.8 | 65.3 |
| DeepSeek V4 Pro 0813 | 64.7 |
| Claude Opus 5 | 59.5 |
| Kimi K3 | 57.4 |
| GLM-5.3 | 54.4 |