Integrity report for SplitFed-CL: A Split Federated Co-Learning Framework for Medical Image Segmentation with Inaccurate Labels

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

arXiv:2605.11060

0Critical

0Advisory

4Detectors run

2026-05-20Last checked

Paper page arXiv integrity.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 05:02:01.050062+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-19 14:34:06.316984+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-19 10:31:17.438020+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-19 08:56:11.204533+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/2605.11060/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.