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Research updated

OpenDiscoveryTrace: New Dataset Reveals AI Scientist Workflows

Researchers have released OpenDiscoveryTrace, a dataset of over 558 complete trajectories from AI scientists working on various scientific tasks. This dataset captures the reasoning process rather than just final outputs, providing valuable insights for auditing methodologies and diagnosing failures. The study includes seven models across different domains like drug discovery, materials science,…

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Key points

  • OpenDiscoveryTrace includes over 558 trajectories from seven models
  • Claude Opus 4.6 produces significantly more errors than GPT-5.4
  • Dataset covers diverse scientific tasks including drug discovery
Read the original at arXiv cs.AI · by Aayam Bansal, Keertan Balaji primary source Open source ↗
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arXivOpenDiscoveryTraceGPT-5.4Claude Opus 4.6Gemini 3.1 ProQwen2.5-7BMistral-7B-v0.3Phi-3.5-mini

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