Integrity report for DPDL: Towards Differential Privacy Preservation in Decentralized Stochastic Learning on Non-IID Data

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

arXiv:2606.04399 · pith:2026:R6AJFFMETNUL5HY3ISDVT35TNL

0Critical

0Advisory

4Detectors run

2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-05 04:29:15.569796+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-04 19:51:09.263689+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-04 13:57:25.948191+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-04 02:35:37.566984+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/R6AJFFME/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.