Integrity report for GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation

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

arXiv:2606.05002 · pith:2026:JJ4QLU5YY6T2AWPCEHW4WVO6NQ

0Critical

0Advisory

6Detectors run

2026-06-04Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

external_links completed v1.0.0 · findings 0 · 2026-06-04 23:32:09.824258+00:00

shingle_duplication skipped v0.1.0 · findings 0 · 2026-06-04 13:50:32.541947+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-04 05:51:06.318837+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-04 03:57:17.832310+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-04 01:35:37.295154+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-06-04 01:28:41.873905+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/JJ4QLU5Y/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.