Integrity report for On Gaussian approximation for entropy-regularized Q-learning with function approximation

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

arXiv:2605.17678 · pith:2026:7BXAU7YPLUWRXTYB5P3WGRFDEV

0Critical

0Advisory

6Detectors run

2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-26 21:35:36.573351+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 22:32:49.331049+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-24 23:10:32.509515+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-24 21:43:35.879938+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-19 21:51:58.976109+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-19 21:49:44.258233+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/7BXAU7YP/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.