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Paper Citation Record · LEDGER

Contextual Emotion Recognition using Large Vision Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.08992.

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

pith.paper-citation-record.v1
2405.08992 v2

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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:27:27.873897Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T23:26:13.762088Z

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 feafe0e5-f059-4a73-84ab-a7cc6783b03b · inbound

MELT: Towards Automated Multimodal Emotion Data Annotation by Leveraging LLM Embedded Knowledge cites this paper.

MELT: Towards Automated Multimodal Emotion Data Annotation by Leveraging LLM Embedded Knowledge Contextual Emotion Recognition using Large Vision Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T12:27:27.873897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:27.873897Z digest=sha256:41eecee167fff7182f6ec21ddd161230fe8aeb5dab92e35f00a8ae5274086ac8

Observation 72753f3e-ff0e-498a-aee2-97539264bec1 · inbound

E-THER: A Multimodal Dataset for Empathic AI -- Towards Emotional Mismatch Awareness cites this paper.

E-THER: A Multimodal Dataset for Empathic AI -- Towards Emotional Mismatch Awareness Contextual Emotion Recognition using Large Vision Language Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T11:57:55.297380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:57:55.297380Z digest=sha256:b6ea7bd12275900c67e20e573db5b9edd6fb95dbf936110c4b3435c2edba79d2

Observation 59132eb3-228a-4b9d-8448-210aac2e779f · 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 Contextual Emotion Recognition using Large Vision Language Models

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:26:13.773911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T17:02:44.776943Z digest=sha256:289fa10fddad46db25c22d3c368ec7762bb51a2fe9b8ba4c1b151484ea3943d4