arXiv — cs.AI preprintsInternational15 October 2026
ResearchFlow-Eval: Tracing the Execution Gap in End-to-End Multi-Claim Autoresearch
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arXiv:2610.18088v2 Announce Type: new Abstract: Autoresearch systems increasingly undertake entire research projects. In practice, scientific research requires systems to pursue multiple interdependent claims through a continuous, multi-stage workflow and revise experiments as evidence accumulates. Existing evaluations of autoresearch systems, however, typically score isolated tasks or final artifacts, leaving these process-level capabilities largely unmeasured. We therefore introduce ResearchFlow-Eval, a fine-grained framework for assessing continuous scientific execution and iteration at bot
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