Author-in-the-loop agentic reproducibility audit deployed across 36 conference papers
arXiv preprint arXiv:2610.22465v1 presents an author-in-the-loop collaborative audit: authors provide a structured checklist of reproduction instructions which guides an AI agent in a two-stage GitHub workflow that requests clarifications, reassesses, and separates assessment of reproduction from requests-for-repair. The system was deployed across 36 conference papers and 133 experimental tables/figures, raised 20 issues after human review that were later closed by further checks, though full reproduction remained unverified in some cases; the paper also compares audits using complete versus blank checklists to show how author declarations shape agent investigations.