Integrity report for UniRTL: Unifying Code and Graph for Robust RTL Representation Learning

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

arXiv:2605.31040 · pith:2026:KQRBOAUI6ZKV2L75VSPCROPEIJ

0Critical

0Advisory

4Detectors run

2026-06-04Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-04 18:09:05.438409+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-01 15:50:48.978669+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-01 10:25:46.337293+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-01 01:35:04.824640+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/KQRBOAUI6ZKV2L75VSPCROPEIJ/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.