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Paper Citation Record · LEDGER

EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2409.13359.

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

pith.paper-citation-record.v1
2409.13359 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:05:56.774609Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T13:30:58.611650Z

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 f26caa40-08ce-4eec-97fa-efa70cd0ec1f · inbound

EmoAssist: Emotional Assistant for Visual Impairment Community cites this paper.

EmoAssist: Emotional Assistant for Visual Impairment Community EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T22:05:56.774609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:05:56.774609Z digest=sha256:83ab8b8afe9730d458a76868a1a57a9f748cf73db8dd626bf37acc101ee38ddf

Observation 37ccd495-ac9c-4e45-8c2b-edf8c4943a18 · inbound

AI Agent Behavioral Science cites this paper.

AI Agent Behavioral Science EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.434105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.434105Z digest=sha256:557077c47f38c8f537c0d3f52d89d178d3a87a358881f2b779e76ee570409224

Observation 85fa4119-a21e-4a2d-bb7f-9a511a21a6fd · inbound

Psycholinguistic Word Features: a New Approach for the Evaluation of LLMs Alignment with Humans cites this paper.

Psycholinguistic Word Features: a New Approach for the Evaluation of LLMs Alignment with Humans EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:38.981300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:41:38.981300Z digest=sha256:ff019dd11bd3642f8f4de0cdb37fb9b5a45cb3651412f3b57e8f267f6b8d0e4e

Observation e00db050-6366-4ca1-b687-899e3597be53 · inbound

H2HTalk: Evaluating Large Language Models as Emotional Companion cites this paper.

H2HTalk: Evaluating Large Language Models as Emotional Companion EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T20:13:25.268793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:13:25.268793Z digest=sha256:5adf72b0538eb21c916041579000e0304d81cf5b996e13407632c6643ab359c7

Observation b0d994dc-4d41-410e-91a1-54be9d9d8e9a · inbound

Multimodal Large Language Models for End-to-End Affective Computing: Benchmarking and Boosting with Generative Knowledge Prompting cites this paper.

Multimodal Large Language Models for End-to-End Affective Computing: Benchmarking and Boosting with Generative Knowledge Prompting EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T05:02:24.399808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:02:24.399808Z digest=sha256:0cef82b92b357386bd4925cc4fca0512099f632c8bbd4a7d8b4162c6de7e17d2

Observation 1c5633c2-2635-4ff1-a044-cdc4174e4a03 · inbound

Large Language Lovers: Lived Experiences of Negotiating Agency and Platform Control in AI Companionship cites this paper.

Large Language Lovers: Lived Experiences of Negotiating Agency and Platform Control in AI Companionship EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-16T13:30:58.614404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T13:30:47.813209Z digest=sha256:e817aa0d11d667949b0e9b0b43a173d2d132f8e5f197aacb9846ad8b3a74c348

Observation cce10f8b-152a-42b9-a006-bfb973e2c76c · inbound

Large Language Lovers: Lived Experiences of Negotiating Agency and Platform Control in AI Companionship cites this paper.

Large Language Lovers: Lived Experiences of Negotiating Agency and Platform Control in AI Companionship EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-03T09:40:00.391335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:40:00.391335Z digest=sha256:755dc08a26300dab32a1c1f1f39f0ef99c7cb0ad68da7e17850fcf1c21480ddf

Observation 17acd5c6-2847-496f-b986-19117937f240 · inbound

Understanding Fortunetelling with Large Language Models in China: User Practices, Perceptions, and Impacts on Beliefs and Decisions cites this paper.

Understanding Fortunetelling with Large Language Models in China: User Practices, Perceptions, and Impacts on Beliefs and Decisions EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models

Reference 119

Resolution
unresolved
no resolver link, observed 2026-08-01T22:47:24.305153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:47:24.305153Z digest=sha256:4e31236943d7a759c7f8b1a956a024cf88f3f541e81c50a9342810c8a853f71b