Integrity report for Enhancing Deep Neural Network Reliability with Refinement and Calibration

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

arXiv:2605.23249 · pith:2026:E2MU55ZXGTYN7JDSITB2AR2F4K

0Critical

0Advisory

6Detectors run

2026-06-01Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-06-01 05:20:44.161738+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-06-01 05:04:49.089913+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-06-01 04:41:47.205509+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-28 15:04:52.426202+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-25 19:50:52.231294+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-25 12:53:32.334910+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/E2MU55ZXGTYN7JDSITB2AR2F4K/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.