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Integrity report for Breaking Global Self-Attention Bottlenecks in Transformer-based Spiking Neural Networks with Local Structure-Aware Self-Attention

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

arXiv:2605.13887 · pith:2026:23FV3LEWRLL65SR6MFXZX5WKYJ

0Critical
0Advisory
4Detectors run
2026-05-20Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 04:22:00.471083+00:00
ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-19 12:36:29.762682+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-19 10:01:16.615108+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-19 08:28:45.991657+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/23FV3LEW/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.