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Paper Citation Record · LEDGER

EmoVIT: Revolutionizing Emotion Insights with Visual Instruction Tuning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.16670.

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

pith.paper-citation-record.v1
2404.16670 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:03:13.103236Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T06:48:05.759954Z

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 136c7ef5-532d-4c66-8d7b-2491430e02ce · 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 EmoVIT: Revolutionizing Emotion Insights with Visual Instruction Tuning

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-10T20:03:13.103236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:03:13.103236Z digest=sha256:1d39c3bd42228e98430efbb1453c1e9eb7bb7c63a645cce87de50ce98e3683b2

Observation 724d50ea-479d-4ab7-9713-0f735e415806 · inbound

Evaluating Vision-Language Models for Emotion Recognition cites this paper.

Evaluating Vision-Language Models for Emotion Recognition EmoVIT: Revolutionizing Emotion Insights with Visual Instruction Tuning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T18:32:29.261710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:32:29.261710Z digest=sha256:e24881c1d5fcf6a6c392e37e606c6c6a1affed47e580c03b064d5dd22bae984c

Observation 111afc69-4f54-4501-8e08-e42cc03b7ee7 · inbound

AffectVerse: Emotional World Models for Multimodal Affective Computing cites this paper.

AffectVerse: Emotional World Models for Multimodal Affective Computing EmoVIT: Revolutionizing Emotion Insights with Visual Instruction Tuning

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-20T06:48:05.761960Z

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=2026-05-20T06:46:33.612905Z digest=sha256:84994ae14a1f85842313d352a5ac5e4de480f1a54b9b3670b03b319452ef7d9e