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Integrity report for Revisiting ML Training under Fully Homomorphic Encryption: Convergence Guarantees, Differential Privacy, and Efficient Algorithms

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

arXiv:2605.27782 · pith:2026:OOFPFPARHVZASD6C6SBDJQYHVF

0Critical
0Advisory
3Detectors run
2026-06-04Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-04 05:35:38.968958+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-06-02 17:27:52.453156+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-28 18:24:04.875563+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/OOFPFPARHVZASD6C6SBDJQYHVF/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.