Integrity report for Efficient Agentic Reinforcement Learning with On-Policy Intrinsic Knowledge Boundary Enhancement

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

arXiv:2605.26952 · pith:2026:KJWRHDAAFHGFM7A63P3BTTS3QT

0Critical

0Advisory

4Detectors run

2026-06-03Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-03 04:35:24.918136+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-06-01 10:47:17.404281+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-27 11:50:20.378199+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-27 07:53:41.198129+00:00

Findings

No public integrity findings for this paper.

Signed record

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