Paper Citation Record · LEDGER

A Survey on Facial Expression Recognition of Static and Dynamic Emotions

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2408.15777.

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

pith.paper-citation-record.v1
2408.15777 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:08:52.781534Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:27:26.527581Z

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 0bfeab6b-66dd-4073-ad31-53a15120c235 · inbound

BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Digital Behavioural Change cites this paper.

BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Digital Behavioural Change A Survey on Facial Expression Recognition of Static and Dynamic Emotions

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-05-19T13:12:18.323355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e9feacc7-04c8-4699-b675-a01cc7560e19 · inbound

From Coarse to Nuanced: Cross-Modal Alignment of Fine-Grained Linguistic Cues and Visual Salient Regions for Dynamic Emotion Recognition cites this paper.

From Coarse to Nuanced: Cross-Modal Alignment of Fine-Grained Linguistic Cues and Visual Salient Regions for Dynamic Emotion Recognition A Survey on Facial Expression Recognition of Static and Dynamic Emotions

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:52.781534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 712f3d79-6b11-4057-ba69-d64d4ef83a70 · inbound

FIELDS: Face reconstruction with accurate Inference of Expression using Learning with Direct Supervision cites this paper.

FIELDS: Face reconstruction with accurate Inference of Expression using Learning with Direct Supervision A Survey on Facial Expression Recognition of Static and Dynamic Emotions

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T20:08:58.701473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22370226-15a6-4411-83c5-69a728a83c9f · inbound

Multimodal Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions cites this paper.

Multimodal Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions A Survey on Facial Expression Recognition of Static and Dynamic Emotions

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:31:01.388449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 650c6745-5a93-4ec1-8487-6fb3040454ea · 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 A Survey on Facial Expression Recognition of Static and Dynamic Emotions

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:26:02.324368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fe8abac7-736f-4a27-8915-305f4932205b · 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 A Survey on Facial Expression Recognition of Static and Dynamic Emotions

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T05:32:16.211897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 148b3a31-d46e-4142-bb3d-af39ad644e65 · inbound

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling cites this paper.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling A Survey on Facial Expression Recognition of Static and Dynamic Emotions

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:26:03.079087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8e6f210e-ee10-46e7-af0d-02032cb8daa5 · inbound

Evaluating multimodal emotion recognition in proactive conversational agents: A user study cites this paper.

Evaluating multimodal emotion recognition in proactive conversational agents: A user study A Survey on Facial Expression Recognition of Static and Dynamic Emotions

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-21T09:54:05.608618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6dfae122-03d3-40c2-b775-6a82d64d0dfc · inbound

Facial Expression Recognition in the Deep Learning Era: A Systematic Multi-Criteria Review of Methods, Models, Datasets, Performance, Challenges, and Future Research Directions cites this paper.

Facial Expression Recognition in the Deep Learning Era: A Systematic Multi-Criteria Review of Methods, Models, Datasets, Performance, Challenges, and Future Research Directions A Survey on Facial Expression Recognition of Static and Dynamic Emotions

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T22:27:26.529149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.