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Integrity report for Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids

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

arXiv:2605.17256 · pith:2026:XSGITVL3VKS7BIADC2WPRGW7I2

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 21:45:35.216735+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-26 00:02:51.085089+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 00:21:28.405346+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-24 19:03:34.336078+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-23 15:22:51.215616+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/XSGITVL3/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.