Integrity report for Sparse-on-Dense: Area and Energy-Efficient Computing of Sparse Neural Networks on Dense Matrix Multiplication Accelerators
A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.
0Critical
0Advisory
2Detectors run
2026-05-20Last checked
Paper page arXiv integrity.json
Detector runs
ai_meta_artifact
completed
doi_compliance
completed
Findings
No public integrity findings for this paper.
Signed record
The machine-readable record for this paper lives at /pith/2604.26587/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.