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Integrity report for Statistical Limits and Efficient Algorithms for Differentially Private Federated Learning

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

arXiv:2605.18656 · pith:2026:2XVTACTCGFPTTI2ST4T5JSDSJC

0Critical
0Advisory
5Detectors run
2026-05-21Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 00:02:16.474703+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-20 22:52:48.529145+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-20 08:31:22.770015+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-20 08:12:18.583432+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-20 00:33:33.292118+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/2XVTACTC/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.