Workflow Closure Is Not Scientific Closure in Auto-Research Systems
This paper argues that workflow closure is not scientific closure in auto-research systems. Current systems can increasingly complete research-like loops internally, moving from idea generation to experiment execution, writing, and self-evaluation. That achievement is real, but it does not by itself give the resulting outputs scientific standing. We argue that trustworthy auto-research should not aim for autonomous self-sufficiency, but should aim for autonomous execution under non-autonomous epistemic control. Based on a survey of more than 100 recent papers and repositories in this rapidly emerging area, together with a structured audit of 21 representative systems, we diagnose a recurr...
| Authors | Shuai Wang, Xinyuan Tian, Pangpang Liu et al. |
|---|---|
| Primary category | cs.SE |
| Published | 25 May 2026 |
| Last updated at source | 25 May 2026 |
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