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Integrity report for Buffer-Parameterized Machine Learning Surrogate Models for Cross-Technology Signal Integrity Analysis and Optimization

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

arXiv:2605.18170 · pith:2026:JO5FZNUL2X6NYOG2PD6VFL3VFV

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 23:39:52.525438+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-26 01:47:28.197474+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-26 01:02:51.610376+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-25 14:23:50.137569+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-23 01:22:49.430982+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/JO5FZNUL2X6NYOG2PD6VFL3VFV/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.