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Integrity report for Kernel Renormalization in Bayesian Deep Neural Networks: the Equivalent Wishart Ansatz in the Proportional Regime

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

arXiv:2605.29684 · pith:2026:SSYOIGWIJ6NA6ECJAZXYYEVVH7

0Critical
0Advisory
4Detectors run
2026-05-30Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-30 01:50:37.598972+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-30 01:25:45.933785+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-29 12:24:37.884628+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-29 01:34:28.712235+00:00

Findings

No public integrity findings for this paper.

Signed record

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