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Paper Citation Record · LEDGER

EmoBench: Evaluating the Emotional Intelligence of Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2402.12071.

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

pith.paper-citation-record.v1
2402.12071 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:05:56.770193Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:28:58.359245Z

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 9699e181-189d-4498-8cce-486cbe79ecd1 · inbound

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

EmoAssist: Emotional Assistant for Visual Impairment Community EmoBench: Evaluating the Emotional Intelligence of Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T22:05:56.770193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:05:56.770193Z digest=sha256:17ea262807bb5eeb75cfd2eb6d6708bd5b815c9bca43c879f1b7b8e883c8fcfa

Observation c913ee52-be6e-436e-9ac6-16d7110790b1 · inbound

LIFELONG SOTOPIA: Evaluating Social Intelligence of Language Agents Over Lifelong Social Interactions cites this paper.

LIFELONG SOTOPIA: Evaluating Social Intelligence of Language Agents Over Lifelong Social Interactions EmoBench: Evaluating the Emotional Intelligence of Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T00:49:27.819015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:49:27.819015Z digest=sha256:1f32a5d67ccd3152c537ee74204c85ba08712b23ac756c658ee033fbd120ced5

Observation 7bfdf243-313a-4357-8b98-54601d3885ee · inbound

MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models? cites this paper.

MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models? EmoBench: Evaluating the Emotional Intelligence of Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T00:43:06.686448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:43:06.686448Z digest=sha256:bfc226bcf4504d2ea41caa055456e4bcc4f3a61659c65d6faf8bafeda45bbeac

Observation 3b798af8-5b3a-41b9-a841-1d2a5512b3a7 · inbound

An LLM's Apology: Outsourcing Awkwardness in the Age of AI cites this paper.

An LLM's Apology: Outsourcing Awkwardness in the Age of AI EmoBench: Evaluating the Emotional Intelligence of Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:49.426659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:31:49.426659Z digest=sha256:e8b618da708a6d33daf8b927384c2b22001774f1be100fe2c61dd76483f87df8

Observation 237a2aa6-b625-4949-9066-6bd76ad5104d · inbound

Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects cites this paper.

Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects EmoBench: Evaluating the Emotional Intelligence of Large Language Models

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-18T08:12:30.311337Z

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=2026-05-18T08:11:31.181704Z digest=sha256:f37184e6514d554572435ab4460da62c7075981fefbec7c61710cb3a4ee486f0

Observation 9e3fd063-e4c3-4bce-90a9-235c77cb0858 · inbound

MICA: Multi-granularity Intertemporal Credit Assignment for Long-Horizon Emotional Support Dialogue cites this paper.

MICA: Multi-granularity Intertemporal Credit Assignment for Long-Horizon Emotional Support Dialogue EmoBench: Evaluating the Emotional Intelligence of Large Language Models

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-15T15:26:10.710776Z

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=2026-05-15T15:25:51.138776Z digest=sha256:e20e24b6c18aa9241ea13bfd40470118bf4659ae2f5fece694dc5e558dc4a068

Observation 31619d50-1be6-406d-8175-86ae1d44f3af · inbound

MICA: Multi-granularity Intertemporal Credit Assignment for Long-Horizon Emotional Support Dialogue cites this paper.

MICA: Multi-granularity Intertemporal Credit Assignment for Long-Horizon Emotional Support Dialogue EmoBench: Evaluating the Emotional Intelligence of Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T18:44:29.417663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:44:29.417663Z digest=sha256:17b91fa2f47e00a746eec2224f0f5df4dbe28896895c505756bacfc8213eb1fc

Observation 2afa54f1-e32f-4f61-b48e-ba0012ca6eb0 · inbound

Beyond Sentiment Classification: A Generative Framework for Emotion Intensity Evaluation in Text cites this paper.

Beyond Sentiment Classification: A Generative Framework for Emotion Intensity Evaluation in Text EmoBench: Evaluating the Emotional Intelligence of Large Language Models

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T17:48:48.629117Z

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=2026-05-20T17:48:01.639719Z digest=sha256:d7a0da0e0ed38f7d8b40a0e637ecc557cfd9b8e1bb9505126a920351bdf12022

Observation ff8fe840-e0b7-42af-9537-bf93ff8f8a96 · inbound

AttuneBench: A Conversation-Based Benchmark for LLM Emotional Intelligence cites this paper.

AttuneBench: A Conversation-Based Benchmark for LLM Emotional Intelligence EmoBench: Evaluating the Emotional Intelligence of Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-22T08:54:45.617677Z

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=2026-05-22T08:53:21.922481Z digest=sha256:a435395638e02a75b3252bf75fc7aa335ee3e2fac9a15673a3c662f277c3dffd

Observation bb360c6e-7cd0-4681-8024-187b80714df1 · inbound

AttuneBench: A Conversation-Based Benchmark for LLM Emotional Intelligence cites this paper.

AttuneBench: A Conversation-Based Benchmark for LLM Emotional Intelligence EmoBench: Evaluating the Emotional Intelligence of Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:04:56.574278Z

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=2026-06-30T17:02:35.794126Z digest=sha256:f2177fdc194e991832a756fddfaffa8fa7de13f68f00eb9b96ff1fae546f47fa

Observation 5b3957af-80e9-4bfa-842e-178b9e24cf11 · inbound

ESC: Emotional Self-Correction for Reliable Vision-Language Models cites this paper.

ESC: Emotional Self-Correction for Reliable Vision-Language Models EmoBench: Evaluating the Emotional Intelligence of Large Language Models

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:28:58.360982Z

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=2026-07-03T21:20:00.041277Z digest=sha256:5421f4c1c970e86bb61f7f825d4a0189043b62b361fb4a86b4ce1d84a624b5af