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Integrity report for VISAFF: Speaker-Centered Visual Affective Feature Learning for Emotion Recognition in Conversation

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

arXiv:2605.18547 · pith:2026:7SYRR3VBEYZNVKZDGFCYSAL2NQ

0Critical
0Advisory
4Detectors run
2026-05-20Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-20 11:02:31.271125+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-20 11:01:23.542840+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-20 00:33:33.445583+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 00:21:59.233512+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/7SYRR3VB/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.