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Integrity report for Joint Optimization of Training and Inference in Federated Edge Learning via Constrained Multi-Objective Deep 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:2605.25916 · pith:2026:XMLQPK4GKBWXP6LYRQADFHDRHU

0Critical
0Advisory
5Detectors run
2026-05-28Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-28 05:44:45.831981+00:00
shingle_duplication skipped v0.1.0 · findings 0 · 2026-05-26 21:49:57.396188+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-26 07:50:15.507921+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-26 05:23:24.899927+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-26 02:34:04.175566+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/XMLQPK4G/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.