pith. sign in

Integrity report for TokTalk: Expressive Real-time Facial Animation from Audio-LLM Tokens

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

arXiv:2605.31294 · pith:2026:PV4LVQO76ZUFC4F7UWL7SDQWL5

0Critical
0Advisory
5Detectors run
2026-06-04Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-04 15:29:03.525523+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-01 01:55:41.168583+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-01 01:50:47.995120+00:00
shingle_duplication skipped v0.1.0 · findings 0 · 2026-06-01 01:50:16.327552+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-01 01:35:04.457646+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/PV4LVQO76ZUFC4F7UWL7SDQWL5/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.