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Paper Citation Record · LEDGER

EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.08508.

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

pith.paper-citation-record.v1
2401.08508 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 2026-08-08T18:32:29.201439Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:31:14.970586Z

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 4869a6dd-6ce8-4109-a237-cdf4f2c69d04 · inbound

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

Evaluating Vision-Language Models for Emotion Recognition EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-08T18:32:29.201439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:32:29.201439Z digest=sha256:784f43635e9a88b95f450a9f00a687781f4fc28cc41f50f7eb326c72b2c22a14

Observation 697de405-71fd-4b5b-be4f-81ffdc39fb28 · inbound

Balancing Knowledge Delivery and Emotional Comfort in Healthcare Conversational Systems cites this paper.

Balancing Knowledge Delivery and Emotional Comfort in Healthcare Conversational Systems EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:31:15.019940Z

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=arxiv_source observed=2026-08-07T00:31:09.867575Z digest=sha256:e87fbf54ffee2fc95c3a2e130aa9eb519ed87f71896c9e5300189d7821803f79

Observation a292b895-f82f-415b-beec-0e8c5e8b839f · inbound

Toward Annotation-Efficient Continuous Emotion Arousal Quantification via Group-Level EEG Dynamic Neural Synchrony cites this paper.

Toward Annotation-Efficient Continuous Emotion Arousal Quantification via Group-Level EEG Dynamic Neural Synchrony EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis

Reference 300

Resolution
unresolved
no resolver link, observed 2026-07-31T14:47:03.068234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T14:47:03.068234Z digest=sha256:eba65bf7651ecd0685256d124bcdb4cf5b0ec7da22c944a81d8baec3f0336f44