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Paper Citation Record · LEDGER

Media2Face: Co-speech Facial Animation Generation With Multi-Modality Guidance

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2401.15687.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2401.15687 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T22:45:39.443440Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T19:25:59.868940Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6463b96a-c5fd-4f12-8615-7bbbc3e40e76 · inbound

TokTalk: Expressive Real-time Facial Animation from Audio-LLM Tokens cites this paper.

TokTalk: Expressive Real-time Facial Animation from Audio-LLM Tokens Media2Face: Co-speech Facial Animation Generation With Multi-Modality Guidance

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:25:59.870529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T22:45:39.443440Z digest=sha256:d7798afa5deaffab163ca228ea67ec1abfda5797829ae9f1a9767764b8f5dcca