Author-in-the-loop Agentic Reproducibility Auditing for a Machine Learning Conference
This story is from 2026-10-20. It is preserved in the archive; the latest stories are on the live feed.
arXiv:2610.22465v1 Announce Type: new Abstract: Reproducibility checks during peer review require a shared understanding of what authors' code is expected to reproduce. We present an author-in-the-loop collaborative audit that makes author declarations explicit inputs to an AI agent's investigation…
Read the full story at arXiv cs.AI ↗
Timeline · 1 report
- 2026-10-20 04:00 · arXiv cs.AI
Author-in-the-loop Agentic Reproducibility Auditing for a Machine Learning Conference