Integrity report for Dynamics and Representation Structure of Local Approximations to Gradient-Based Learning in Linear Recurrent 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:2606.00243 · pith:2026:KR4PFOMFP6OWJI6245WAE34IRF

0Critical

0Advisory

2Detectors run

2026-06-04Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-04 12:48:59.160716+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-02 05:35:16.506325+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/KR4PFOMF/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.