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Integrity report for Training Neural Networks with Optimal Double-Bayesian Learning

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

arXiv:2605.20009 · pith:2026:6KIQECZKN5JBNNY4DNA7CR4ITU

0Critical
1Advisory
8Detectors run
2026-05-20Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

shingle_duplication completed v0.1.0 · findings 0 · 2026-05-20 17:50:24.713989+00:00
external_links completed v1.0.0 · findings 1 · 2026-05-20 11:36:41.360540+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-20 07:50:12.379577+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-20 07:31:22.354324+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-20 07:19:55.434868+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-20 04:54:19.250423+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-20 02:33:27.909913+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 02:22:00.090836+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/2605.20009/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.