Paper Citation Record · LEDGER

Towards Localized Fine-Grained Control for Facial Expression Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2407.20175.

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

pith.paper-citation-record.v1
2407.20175 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:03:44.878456Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T14:18:21.437320Z

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 486b4f1e-5733-4416-9093-56661317f0ec · inbound

X-NeMo: Expressive Neural Motion Reenactment via Disentangled Latent Attention cites this paper.

X-NeMo: Expressive Neural Motion Reenactment via Disentangled Latent Attention Towards Localized Fine-Grained Control for Facial Expression Generation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:44.878456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2346dfca-735f-4c7c-af76-01aad1611f7f · inbound

Pain in 3D: Generating Controllable Synthetic Faces for Automated Pain Assessment cites this paper.

Pain in 3D: Generating Controllable Synthetic Faces for Automated Pain Assessment Towards Localized Fine-Grained Control for Facial Expression Generation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T16:08:18.046247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 624849e3-05af-44ef-b4fd-69fb0b39a908 · inbound

Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects cites this paper.

Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects Towards Localized Fine-Grained Control for Facial Expression Generation

Reference 168

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:12:30.183211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ad61bc65-d6dd-4970-ab23-8754f23dac07 · inbound

Instant Expressive Gaussian Head Avatars at Over 100 FPS cites this paper.

Instant Expressive Gaussian Head Avatars at Over 100 FPS Towards Localized Fine-Grained Control for Facial Expression Generation

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-03T15:28:58.107095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc54112d-5b66-452f-9a99-3284ac660fba · inbound

ARGen: Affect-Reinforced Generative Augmentation towards Vision-based Dynamic Emotion Perception cites this paper.

ARGen: Affect-Reinforced Generative Augmentation towards Vision-based Dynamic Emotion Perception Towards Localized Fine-Grained Control for Facial Expression Generation

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:26:02.303681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d858040b-65a2-4a9a-b015-7a092fb3d23c · inbound

ARGen: Affect-Reinforced Generative Augmentation towards Vision-based Dynamic Emotion Perception cites this paper.

ARGen: Affect-Reinforced Generative Augmentation towards Vision-based Dynamic Emotion Perception Towards Localized Fine-Grained Control for Facial Expression Generation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T05:32:16.188248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4db96051-ed9c-48e6-8e95-59369e2aa7c4 · inbound

On Applicability of Synthetic Datasets for Facial Expression Recognition cites this paper.

On Applicability of Synthetic Datasets for Facial Expression Recognition Towards Localized Fine-Grained Control for Facial Expression Generation

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:18:21.438923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.