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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
4Detectors run
2026-05-25Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 05:02:40.143989+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 04:38:44.231751+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-25 03:35:52.072275+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-25 03:03:40.004714+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.