Integrity report for NeuroTrain: Surveying Local Learning Rules for Spiking Neural Networks with an Open Benchmarking Framework

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

arXiv:2605.15058 · pith:2026:F43YNSQHWZUMSYSIDE4NLWOYZK

0Critical

3Advisory

7Detectors run

2026-05-24Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-24 17:53:51.414649+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-22 12:01:57.296392+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 16:02:30.285716+00:00

doi_compliance completed v1.0.0 · findings 3 · 2026-05-21 05:39:07.205600+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-19 07:53:18.925052+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-19 05:38:13.446686+00:00

external_links completed v1.0.0 · findings 0 · 2026-05-19 05:31:31.365744+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/F43YNSQH/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.