AI RESEARCH

Evidence Over Plans: Online Trajectory Verification for Skill Distillation

arXiv CS.AI

ArXi:2605.09192v1 Announce Type: new Agent skills can remarkably improve task success rates by using human-written procedural documents, but their quality is difficult to assess without environment-grounded verification. Existing skill generation methods heavily rely on preference logs rather than direct environment interaction, often yielding negligible or even degraded gains. We identify that it is a fundamental timing bottleneck: robust skills should be posterior-based, distilled from empirical environment interaction rather than prior plans. In this study, we.