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Paper Citation Record · LEDGER

VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.07078.

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

pith.paper-citation-record.v1
2404.07078 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:06:48.659078Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T21:37:48.005583Z

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 e787cc0f-cb83-45d0-a39a-6f123e03b4de · inbound

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

Evaluating Vision-Language Models for Emotion Recognition VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-08T18:32:29.258653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:32:29.258653Z digest=sha256:07477857c06b4786b0681bc8e68cdc122b99c608a257214f1fc344031d280ace

Observation 41e44467-4be0-4d42-99c3-f0f4947e7e36 · inbound

Beyond Vision: How Large Language Models Interpret Facial Expressions from Valence-Arousal Values cites this paper.

Beyond Vision: How Large Language Models Interpret Facial Expressions from Valence-Arousal Values VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-08T19:06:48.659078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:06:48.659078Z digest=sha256:57652a3cf28e382fa49ee1e99f99a1c10e6d172ec60e4c163b2781addec122f2

Observation 9b3cff1d-6267-4e2c-82fb-7db5f997e395 · 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 VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:26:13.735154Z

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=2026-05-07T17:02:44.776943Z digest=sha256:9e0009d023c515e3e2e5cefa69d9d135ad570c846d03c52bd22ce9ce50fe08e8

Observation 1c3c9f93-7f0f-4c2a-b765-301ca7a6b7c2 · inbound

"I'm Not Mad, Just Focused'': Understanding Human Emotions in Human-Robot Collaboration cites this paper.

"I'm Not Mad, Just Focused'': Understanding Human Emotions in Human-Robot Collaboration VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:37:48.007231Z

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=2026-05-19T21:33:42.221086Z digest=sha256:262c93a34a61cf7a051905de0f2316f196d81b889c2bd0d2ca9df521d5a8b9e1