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Integrity report for Scaling up Energy-Aware Multi-Agent Reinforcement Learning for Mission-Oriented Drone Networks with Individual Reward

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

arXiv:2605.24992 · pith:2026:LSW24GPXPUECKGY6CJB7FDXB5Q

0Critical
0Advisory
5Detectors run
2026-06-02Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-02 08:35:16.636739+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-29 18:25:34.836828+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-26 01:53:22.543146+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-26 01:50:13.778339+00:00
shingle_duplication skipped v0.1.0 · findings 0 · 2026-05-26 01:49:55.981124+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/LSW24GPX/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.