Integrity report for CrossVLA: Cross-Paradigm Post-Training and Inference Optimization for Vision-Language-Action Models

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

arXiv:2605.21854 · pith:2026:SA6ONG4W5GS6WCLXSARBVGL2JU

0Critical

0Advisory

6Detectors run

2026-05-23Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-23 08:32:07.295088+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-23 08:13:14.076217+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-23 02:43:01.182455+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-23 01:50:30.031923+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 17:22:58.108737+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-22 02:33:39.813129+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/SA6ONG4W5GS6WCLXSARBVGL2JU/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.