arxiv
PublishedSeptember 11, 2026 at 4:00 AM
—neutral
OpenDiscoveryTrace: Process Traces for Evaluating AI Scientist Workflows
Publisher summary· verbatim
arXiv:2609.09203v1 Announce Type: new Abstract: Existing benchmarks for autonomous AI scientists evaluate only final outputs---generated code, hypotheses, or papers---yet discard the reasoning process by which those outputs were obtained. This makes it impossible to audit scientific methodology, dia
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivBringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning7harxivSubagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks7harxivDistribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts7harxivIn RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning7hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗