Integrity report for ChainFlow-VLA: Causal Flow Planning with Vision-Language Models

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

arXiv:2605.23270 · pith:2026:HVCUPIZEYCETJXJHKSODKEQKAB

0Critical

0Advisory

6Detectors run

2026-05-27Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-27 08:44:23.992208+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-27 05:03:11.109720+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-27 04:43:51.555836+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-25 17:52:27.093503+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-25 12:23:33.057794+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-25 03:35:52.072275+00:00

Findings

No public integrity findings for this paper.

Signed record

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