Integrity report for UniSpike: Accelerating Spiking Neural Networks on Neuromorphic Systems via Eliminating Address Redundancy

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

arXiv:2605.23796 · pith:2026:UMGCB5EPN7I3SRGVO7JX47VFYK

0Critical

0Advisory

8Detectors run

2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-26 04:24:01.719140+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-26 02:32:50.758425+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-26 02:31:49.852899+00:00

external_links completed v1.0.0 · findings 0 · 2026-05-25 23:31:59.801828+00:00

shingle_duplication completed v0.1.0 · findings 0 · 2026-05-25 13:50:22.549018+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-25 05:51:00.083335+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-25 03:55:04.392152+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-25 02:34:33.964286+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/UMGCB5EP/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.