Integrity report for Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:2606.06053 · pith:2026:WKDAXMUYKZV4YJE4OPTYLQAQRO

0Critical

0Advisory

4Detectors run

2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-05 11:51:16.310524+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-05 08:27:41.559272+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-06-05 02:09:13.544483+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-05 01:35:49.747702+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/WKDAXMUY/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.