OpenDiscoveryTrace: Enabling Auditable Reasoning for Autonomous AI Scientists

OpenDiscoveryTrace: Enabling Auditable Reasoning for Autonomous AI Scientists - AI Architecture & Engineering

Executive Takeaway OpenDiscoveryTrace delivers the first public, high‑fidelity dataset of 558 complete AI scientific agent trajectories across 124 drug‑discovery, materials‑science, genomics, and literature‑analysis tasks. By recording a nine‑field per‑step trace—thoughts, tool calls, observations, errors, revision triggers, self‑reported confidence, and three auxiliary signals—the dataset makes the *reasoning process* of frontier models (GPT‑5.4, Claude Opus 4.6, Gemini 3.1 Pro) observable, auditable, […]