pith. sign in

Integrity report for Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise

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

arXiv:2605.18528 · pith:2026:FPEVKMNQJ2SP4IBZ6ZSNXVQO74

0Critical
0Advisory
5Detectors run
2026-05-25Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 13:02:44.538622+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 10:27:37.729859+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-25 01:03:38.585006+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-21 22:23:01.236260+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-20 00:33:33.473273+00:00

Findings

No public integrity findings for this paper.

Signed record

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