Integrity report for Dimensionality Reduction for Robust Federated Learning: A Theoretical Analysis and Convergence Guarantee

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

arXiv:2605.28335 · pith:2026:4FQ2NESJM42Q5DXIYW7OABZYMZ

0Critical

0Advisory

6Detectors run

2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-05 20:35:58.384150+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-06-03 00:48:06.422303+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-06-01 06:47:09.438275+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-28 13:50:26.732989+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-28 09:23:55.199690+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-28 01:34:18.815007+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/4FQ2NESJ/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.