Integrity report for Federated Learning with Incomplete Data: When to Use Complete Cases and When to Weight

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

arXiv:2605.20125 · pith:2026:KF5H3S3YPXA2ZVHHON4LDFSHR5

2Critical

0Advisory

8Detectors run

2026-05-28Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-28 16:03:35.716141+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-27 03:35:07.502379+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-26 19:04:13.790285+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-26 11:25:03.052280+00:00

external_links completed v1.0.0 · findings 1 · 2026-05-20 17:33:48.812071+00:00

shingle_duplication completed v0.1.0 · findings 0 · 2026-05-20 09:49:52.184815+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-20 03:50:40.713780+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-20 03:21:59.994484+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/KF5H3S3YPXA2ZVHHON4LDFSHR5/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.