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Integrity report for Embedding-Based Federated Learning with Runtime Governance for Iron Deficiency Prediction

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

arXiv:2605.21563 · pith:2026:K7YRNPR5Q47QRVVHVGXD4ROIVA

0Critical
0Advisory
5Detectors run
2026-05-23Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-23 03:23:01.560664+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 21:58:28.357591+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-22 10:01:54.342534+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-22 09:51:17.547285+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-22 03:33:37.728511+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/K7YRNPR5Q47QRVVHVGXD4ROIVA/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.