Integrity report for Canonical Regularisation of Wide Feature-Learning Neural Networks

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

arXiv:2605.18180 · pith:2026:IEBWWZMW662P2ZRKKAUM7M4P4Z

0Critical

0Advisory

5Detectors run

2026-05-25Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-25 14:23:50.117724+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 01:39:43.364644+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 01:02:38.918241+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-23 01:22:47.898596+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 23:33:35.343507+00:00

Findings

No public integrity findings for this paper.

Signed record

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