Integrity report for Federated Semi-Supervised Graph Neural Networks with Prototype-Guided Pseudo-Labeling for Privacy-Preserving Gestational Diabetes Mellitus Prediction

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

arXiv:2605.01810

3Critical

1Advisory

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 17:35:46.438678+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-20 05:01:22.623274+00:00

doi_compliance completed v1.0.0 · findings 4 · 2026-05-19 16:57:59.720599+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/2605.01810/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.