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Integrity report for FedPLT: Scalable, Resource-Efficient, and Heterogeneity-Aware Federated Learning via Partial Layer Training

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

arXiv:2605.02337

0Critical
0Advisory
3Detectors run
2026-05-20Last checked

Paper page arXiv integrity.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-20 16:33:52.064609+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-20 03:31:22.672730+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-19 16:28:54.443972+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/2605.02337/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.