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Integrity report for ARMS: Automatic Reward Shaping for Sparse-Reward Multi-Agent 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:2605.23562 · pith:2026:N6YXBJB7LGGFOM3CLBIEDJHKLG

0Critical
0Advisory
6Detectors run
2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-06-05 04:47:33.736902+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-06-05 03:06:07.208816+00:00
ai_meta_artifact completed v1.0.0 · findings 0 · 2026-06-01 03:43:05.010562+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-28 13:04:50.520491+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-25 11:51:26.868268+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-25 07:53:30.586633+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/N6YXBJB7/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.