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Integrity report for Learning When Not to Act: Mitigating Tool Abuse in Agentic Reinforcement Learning

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

arXiv:2606.02132 · pith:2026:IZORAA2TKSCMWDLH3SVMNLPKNF

0Critical
0Advisory
5Detectors run
2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-05 21:09:34.150672+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-02 13:50:53.056374+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-02 02:35:14.014886+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-02 02:26:03.408641+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-06-02 02:07:33.776698+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/IZORAA2T/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.