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Paper Citation Record · LEDGER

Prompting Visual-Language Models for Dynamic Facial Expression Recognition

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2308.13382.

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

pith.paper-citation-record.v1
2308.13382 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:03:13.167001Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T13:34:41.197838Z

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 b185faed-2dda-4af1-8e9a-cc0df6dcfb93 · inbound

Omni-Emotion: Extending Video MLLM with Detailed Face and Audio Modeling for Multimodal Emotion Analysis cites this paper.

Omni-Emotion: Extending Video MLLM with Detailed Face and Audio Modeling for Multimodal Emotion Analysis Prompting Visual-Language Models for Dynamic Facial Expression Recognition

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-10T20:03:13.167001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:03:13.167001Z digest=sha256:94277a1793b0a5995ac8f30b744032cdbc318370520a5344b308abaf88018d57

Observation aa6d9425-d244-43c2-a2a8-5c22aa3d676b · inbound

Human Re-ID Meets LVLMs: What can we expect? cites this paper.

Human Re-ID Meets LVLMs: What can we expect? Prompting Visual-Language Models for Dynamic Facial Expression Recognition

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T22:51:31.056461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:51:31.056461Z digest=sha256:6d210ecbb995704a2e53a741f8be079ae4c1099086b80e323aa5c12dbb4630d5

Observation 01de7f38-3907-49f1-b182-c983e09764a2 · inbound

Emotion Recognition and Generation: A Comprehensive Review of Face, Speech, and Text Modalities cites this paper.

Emotion Recognition and Generation: A Comprehensive Review of Face, Speech, and Text Modalities Prompting Visual-Language Models for Dynamic Facial Expression Recognition

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-09T18:23:41.166617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:23:41.166617Z digest=sha256:06fffcb5c4398880908ef28acff0e2d572870b13769e238e4e96b8c4e6d7649b

Observation 677e79e5-8e6a-406b-b553-ebddedc8522d · inbound

Multimodal Prompt Alignment for Facial Expression Recognition cites this paper.

Multimodal Prompt Alignment for Facial Expression Recognition Prompting Visual-Language Models for Dynamic Facial Expression Recognition

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T22:40:35.570153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:40:35.570153Z digest=sha256:39a10dde85d93e5c67d33a37c5298851883520dc781bd5f296de33f51c373160

Observation 0e0c819f-6ba6-426b-852d-26ab597a8c06 · 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 Prompting Visual-Language Models for Dynamic Facial Expression Recognition

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T17:08:52.937811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:08:52.937811Z digest=sha256:c521b2db6c8204780b7042a605d8518ef28e7424ec0bacdc1f0ef83206fb227b

Observation 03fdbb8e-3fae-4115-a3c0-29851d8e9adc · inbound

Trade-offs in Image Generation: How Do Different Dimensions Interact? cites this paper.

Trade-offs in Image Generation: How Do Different Dimensions Interact? Prompting Visual-Language Models for Dynamic Facial Expression Recognition

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-06T12:08:01.865910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:08:01.865910Z digest=sha256:e8b9714565f5eb9538804fea56688047bd8298339b861ddccc329e2df0c0a4db

Observation 324ea9f0-0661-4602-b9a0-308fc3716c49 · inbound

Grounding Emotion Recognition with Visual Prototypes: VEGA -- Revisiting CLIP in MERC cites this paper.

Grounding Emotion Recognition with Visual Prototypes: VEGA -- Revisiting CLIP in MERC Prompting Visual-Language Models for Dynamic Facial Expression Recognition

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-05T23:49:21.013487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:49:21.013487Z digest=sha256:f6783d95067fb379b6a98f9b127fa374a0e5196e6a7e89b27cd21bc72678b154

Observation 0e75ba74-84c4-484b-8b67-4884e117d416 · inbound

Personalized Cross-Modal Emotional Correlation Learning for Speech-Preserving Facial Expression Manipulation cites this paper.

Personalized Cross-Modal Emotional Correlation Learning for Speech-Preserving Facial Expression Manipulation Prompting Visual-Language Models for Dynamic Facial Expression Recognition

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:26:13.729503Z

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=2026-05-07T17:02:44.776943Z digest=sha256:cc9c69ab2121bfc5c81fcab140c3f063dc36803fbbaff363b0f1ab390874962f

Observation 2bc64476-ceaa-4956-81c6-df660dfc54b1 · inbound

Reweighting Framewise Attention in Video Transformers for Facial Expression Understanding cites this paper.

Reweighting Framewise Attention in Video Transformers for Facial Expression Understanding Prompting Visual-Language Models for Dynamic Facial Expression Recognition

Reference 65

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T13:34:41.199336Z

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=2026-06-30T05:54:24.767848Z digest=sha256:2c39505363a7321f14a6be80b786a47c6ecb0bcd0b30df5a4cd93103512ab47d

Observation ffbbb82c-3ad8-4c7d-88bf-fcbddd551468 · inbound

Reweighting Framewise Attention in Video Transformers for Facial Expression Understanding cites this paper.

Reweighting Framewise Attention in Video Transformers for Facial Expression Understanding Prompting Visual-Language Models for Dynamic Facial Expression Recognition

Reference 65

Resolution
unresolved
no resolver link, observed 2026-07-12T10:31:49.351169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T10:31:49.351169Z digest=sha256:f2679ebd15adf714f606117fd11a5b1362d34bc933d0f58e217d76d59ed36698