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Integrity report for Spiker-LL: An Energy-Efficient FPGA Accelerator Enabling Adaptive Local Learning in Spiking 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:2605.18003 · pith:2026:4T56I574K5LUZV75R7XKGFSJPA

0Critical
0Advisory
5Detectors run
2026-05-23Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-23 04:22:38.754168+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-23 00:46:47.361572+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-23 00:32:04.505540+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-22 08:22:44.745755+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 23:33:35.538906+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/4T56I574/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.