Integrity report for VEN-VL: A Visual Ensemble MoE Framework for Effective and Efficient Multi-Modal Understanding

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

arXiv:2605.25952 · pith:2026:GGGBZ7PU3RG66R6P6FGGDYAMNS

0Critical

0Advisory

6Detectors run

2026-06-02Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-02 06:35:16.468974+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-31 09:26:41.218601+00:00

external_links completed v1.0.0 · findings 0 · 2026-05-26 23:31:46.199452+00:00

shingle_duplication skipped v0.1.0 · findings 0 · 2026-05-26 17:49:57.286245+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-26 07:50:15.456579+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-26 04:53:24.180247+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/GGGBZ7PU3RG66R6P6FGGDYAMNS/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.