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Integrity report for Implicit Bias of Mirror Flow in Homogeneous Neural Networks: Sparse and Dense Feature Learning

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

arXiv:2605.19458 · pith:2026:F5FUJCWZCCPGCQTJWB4WEUOVDK

0Critical
0Advisory
6Detectors 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 10:32:43.374331+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-25 10:03:46.664306+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 08:14:21.327779+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-20 19:49:50.144181+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-20 13:22:02.662354+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-20 01:33:29.775474+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/F5FUJCWZ/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.