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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
2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-26 23:43:10.442295+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-26 00:32:51.230948+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-25 19:43:54.216047+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 01:11:13.606940+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-23 04:22:38.754168+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/4T56I574K5LUZV75R7XKGFSJPA/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.