Pith. sign in

Paper Citation Record · LEDGER

EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:22d9e5b85ed4f28a51285cbe4257c00b0b635566203e0aa9a5fb197234f86036

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:f7fce0b3e9608edc35033fd2155967a3aa964958c3185944d5bb51719fb025b0

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:ca75e0b8aec36a35eb71eed0ebb3fac12247c9013a4de16f13717865e8abd479

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:cc4a267d6c0d0a7c2b06115368974ce257771b8fa721a31b59c16fdfbf018c71

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=sha256:8aa80111f8e8e8845b3db02ec8ff4eec406f39bd5a33b814a9c77ed272241244

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

source=pdf_text observed=2026-05-16T13:30:47.813209Z digest=sha256:660fa8fa27bffe742a12c70ebe2574a3cbd4bc80f35252ab1255b95b2f2b0bf5

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=sha256:996f4b1d24415f06b82b1be5b32a12c4c6da214a03ce284d294f5abf41706bf1

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=sha256:31cac5d792d42617760c2a96dc21144f39c2c4f62361d03d91364c27d7df287e