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Integrity report for Interpreting and Enhancing Emotional Circuits in Large Vision-Language Models via Cross-Modal Information Flow

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

arXiv:2605.21980 · pith:2026:A56SKQ6ENFU3JU7TJF5ZA33WMB

0Critical
0Advisory
7Detectors run
2026-05-30Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-30 08:48:17.230591+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-30 08:04:01.976967+00:00
ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-29 05:41:47.080106+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-27 15:44:30.820548+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-25 01:50:42.159278+00:00
shingle_duplication completed v0.1.0 · findings 0 · 2026-05-24 17:50:38.454343+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 15:22:30.993794+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/A56SKQ6E/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.