Integrity report for Scalable On-Policy Reinforcement Learning via Adaptive Batch Scaling

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

arXiv:2605.21557 · pith:2026:CU2IPJNYP4JID5VBP3QMLAMOZM

0Critical

0Advisory

5Detectors run

2026-05-22Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-22 00:33:38.704783+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-22 00:31:46.702216+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-22 00:30:58.232610+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 00:22:23.710406+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-22 00:02:37.431306+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/CU2IPJNY/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.