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Paper Citation Record · LEDGER

EmoVIT: Revolutionizing Emotion Insights with Visual Instruction Tuning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:32:29.261710Z

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 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:c77cefda557eb7829fc0a11a3e3685866ce8d93e3c9de712a9c4d737fe3f8192

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T06:46:33.612905Z digest=sha256:5e3201c9c208f9d306611cd0f0795aa413f5641684c978b2a3f57126d56aa947