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Paper Citation Record · LEDGER

EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2406.16442.

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

pith.paper-citation-record.v1
2406.16442 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:06:48.666308Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:49:18.245904Z

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 0173ac02-d5c6-436e-84b8-835800d29e1b · inbound

Beyond Vision: How Large Language Models Interpret Facial Expressions from Valence-Arousal Values cites this paper.

Beyond Vision: How Large Language Models Interpret Facial Expressions from Valence-Arousal Values EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-08T19:06:48.666308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:06:48.666308Z digest=sha256:5556f4f0aded29938c7e045c8e8613a1195bdd86d4024881905cca3bf3b86bad

Observation b5d15201-5532-4403-b65b-5ad74d4eb837 · inbound

WiseMind: a knowledge-guided multi-agent framework for accurate and empathetic psychiatric diagnosis cites this paper.

WiseMind: a knowledge-guided multi-agent framework for accurate and empathetic psychiatric diagnosis EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:32:25.985237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-23T02:31:10.114453Z digest=sha256:2262df2a73db8733efffe33f0f5cf66f6cb13bf21ad1cf2db3d38d34ed001406

Observation 20b49fb5-fae3-4410-aa07-1f3a3fff33d1 · inbound

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects cites this paper.

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Reference 117

Resolution
unresolved
no resolver link, observed 2026-08-07T13:56:52.006073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:56:52.006073Z digest=sha256:f2cdbe1e7f9923549c678473c6242a510c285e414c50a8e30b38d442d60af23a

Observation 7618ffd5-34e8-406a-95ce-eef74de30946 · inbound

MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs cites this paper.

MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T12:27:35.249032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:35.249032Z digest=sha256:de4eb5e0b735673829d32853657abccfb6a698b0ee909275aa1ee69d8bea939c

Observation 0c0b7afb-1da6-4615-9738-e9f0e19b847d · inbound

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models cites this paper.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Reference 105

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T11:13:02.888021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T11:12:41.130806Z digest=sha256:525733172a0a74ae389146eb7530062bfe1a67dcb4c580fb7430decd43b8f539

Observation 677e4150-f6d8-4374-b1cc-3e6218fc60fd · inbound

Survey of Specialized Large Language Model cites this paper.

Survey of Specialized Large Language Model EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T15:37:49.344142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:37:49.344142Z digest=sha256:34e445ebb6834977c5e6df938d3baa37b968ff35b8823f6187a3ed38c16922d1

Observation f35fdd9d-b03b-4a5d-aa92-085b7533807b · inbound

EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models cites this paper.

EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-02T20:14:04.163905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:14:04.163905Z digest=sha256:c8376ca94bb3c9ca21df69abc5b5f23163ec5ec9c85193ed1bef6a1cc4624f43

Observation e124b345-20ce-47e4-985a-4a914eccb478 · inbound

Nano-EmoX: Unifying Multimodal Emotional Intelligence from Perception to Empathy cites this paper.

Nano-EmoX: Unifying Multimodal Emotional Intelligence from Perception to Empathy EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Reference 62

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T17:46:23.750981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T17:43:32.593075Z digest=sha256:542a33beac8e9b2d0780532e3de37969e6a1b5a09ed196fa6183a446ccda6ffe

Observation 0aaedb8b-5827-42da-82a0-ffc816ac736c · inbound

AICA-Bench: Holistically Examining the Capabilities of VLMs in Affective Image Content Analysis cites this paper.

AICA-Bench: Holistically Examining the Capabilities of VLMs in Affective Image Content Analysis EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:05:48.273916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T19:22:08.306946Z digest=sha256:ffa2b0069b9a94c06d2998c5559c7faa0375ff304c447bf3a52b5c83b18ff0b9

Observation 31e33c67-3707-49ca-a279-4df28fb811af · inbound

ActFER: Agentic Facial Expression Recognition via Active Tool-Augmented Visual Reasoning cites this paper.

ActFER: Agentic Facial Expression Recognition via Active Tool-Augmented Visual Reasoning EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:15:58.753350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:45:37.278153Z digest=sha256:c233d86c9f967747a7e1d7b4132954d1e50b27ed104870ef5a1804804e1cceb8

Observation 4c169fb9-0d02-4bea-b04f-bb0178c97b0b · inbound

AffectAgent: Collaborative Multi-Agent Reasoning for Retrieval-Augmented Multimodal Emotion Recognition cites this paper.

AffectAgent: Collaborative Multi-Agent Reasoning for Retrieval-Augmented Multimodal Emotion Recognition EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:41:05.739912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:21:42.285340Z digest=sha256:4e9262fdbe15a2ef1175a79ebe97817c19caea876360284e67f2478931401793

Observation 73185035-f1cc-4dd0-bc28-bfcad28393e2 · inbound

Navigating the Emotion Tree: Hierarchical Hyperbolic RAG for Multimodal Emotion Recognition cites this paper.

Navigating the Emotion Tree: Hierarchical Hyperbolic RAG for Multimodal Emotion Recognition EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:58:32.614985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T15:55:57.330888Z digest=sha256:c66f59ffa75055f12651bcd955fe46385a85bcd9eb8fdde3d1aadbfd2fcf0b20

Observation 0cd48ab3-5179-4ca5-aed6-778ae0a3d8d4 · inbound

InsightVQA: High-Dimensional Emotion-Cognitive Visual Question Answering Benchmark cites this paper.

InsightVQA: High-Dimensional Emotion-Cognitive Visual Question Answering Benchmark EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:56:19.723035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T14:57:12.827012Z digest=sha256:da9560a87c318d42160d2131100c8a42a50f559cbb5912cffce2cd51a390568f

Observation 0253fdf7-1a81-4d91-a864-508b5e78c057 · inbound

ThinkDeception: A Progressive Reinforcement Learning Framework for Interpretable Multimodal Deception Detection cites this paper.

ThinkDeception: A Progressive Reinforcement Learning Framework for Interpretable Multimodal Deception Detection EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:49:18.248220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T20:58:30.855338Z digest=sha256:63b9e901b3a56ef05a302bf1e0e42d9ddf1906e217d42e3200554397875eca80