Integrity report for Multi-Step Likelihood-Ratio Correction for Reinforcement Learning with Verifiable Rewards

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

arXiv:2605.20865 · pith:2026:W6PEMK224EFCSDJFXIVW6DEP2J

0Critical

0Advisory

6Detectors run

2026-05-21Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-21 15:51:07.196268+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-21 11:24:42.391646+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-21 06:03:00.255431+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-21 06:01:37.710419+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 01:42:19.544997+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-21 01:34:01.688975+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/W6PEMK22/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.