Pith. sign in

Paper Citation Record · LEDGER

EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 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 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:08:40.180088Z

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 fc9b99ad-067a-49e9-bac7-b71895228928 · inbound

Lucia: A Temporal Computing Platform for Contextual Intelligence cites this paper.

Lucia: A Temporal Computing Platform for Contextual Intelligence EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T17:46:01.911520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:46:01.911520Z digest=sha256:059984b669433bcdc37ce4ada9abfa200e3bbbcdb7c1ef827a5319a8540eda46

Observation 6cbff4c4-9d4e-43ca-997e-486bc1ae4a45 · inbound

MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs cites this paper.

MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Reference 131

Resolution
unresolved
no resolver link, observed 2026-08-12T14:31:37.238557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:31:37.238557Z digest=sha256:891e68fe03ac32861b1cddd03d19f73104c4042375ddfe5242781709e60a52b5

Observation ef474dc7-4b38-4d4b-abc0-1f1c22a3113f · inbound

AgriBench: A Hierarchical Agriculture Benchmark for Multimodal Large Language Models cites this paper.

AgriBench: A Hierarchical Agriculture Benchmark for Multimodal Large Language Models EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-12T05:25:25.644437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:25:25.644437Z digest=sha256:f99c0bda662998196c4465e6453111ec9ee02e97ae0e3ffcdaa161eca87c96ec

Observation b9b40b9a-410c-40a5-871a-8ff1d6f32a42 · inbound

Do Language Models Understand Time? cites this paper.

Do Language Models Understand Time? EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Reference 194

Resolution
unresolved
no resolver link, observed 2026-08-11T12:47:18.059979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:47:18.059979Z digest=sha256:a6deff8170c616c83525833d5dd7ef49125f49b6d8f0005187087df73316a668

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:d44ee6a338924b51f9c0ceaaa0f9b04190b82286d714fcc18a412ebf18f316c4

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-23T02:31:10.114453Z digest=sha256:7c500004f46e10360e1d3d0390f660764903687005a7f29b2384f9ea46a0386d

Observation f3231b74-9e57-4b71-bdd6-c7f295d0b554 · inbound

Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark cites this paper.

Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-16T11:08:40.180088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:08:40.180088Z digest=sha256:29df6d5d2d3bd074a84ccc80035c551e46efcdf401de5b0e3fdf04847d429d47

Observation 050379da-650b-41d7-ba31-ee76715c86e4 · inbound

Perspectives on Capturing Emotional Expressiveness in Sign Language cites this paper.

Perspectives on Capturing Emotional Expressiveness in Sign Language EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T22:09:26.668341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:09:26.668341Z digest=sha256:4dc3e0c15de1863fe4be00d94132d30033ca9d97efd0caf9500fa516fecfdfc2

Observation 70ba6ae2-5160-48eb-9273-b58d830aa7ea · inbound

FEALLM: Advancing Facial Emotion Analysis in Multimodal Large Language Models with Emotional Synergy and Reasoning cites this paper.

FEALLM: Advancing Facial Emotion Analysis in Multimodal Large Language Models with Emotional Synergy and Reasoning EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T20:19:28.037726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:19:28.037726Z digest=sha256:b462feef1c0c0eba45f66353bc1e77acae0dbd1b50dece8decb1e1d867fb43a1

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=sha256:81ab1c901ebe3af19c69e79bbc1f40f5d9370a2d61271f210d717fdf9a27a002

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:b34b7f339c5899d983337c3fadbc4abdf1ca5a099ec73c77455094f81a322eab

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T11:12:41.130806Z digest=sha256:cbab8715ec5b32b121dc81768af5fdb2f0bc3899df81047a5803b54ff5fa3fa4

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:d8124741f5798935e293590b78100cea91a9805b230bebd2648a575ded8c6f30

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:d7d36ef681aeb3790603e8d8e9279e1ea9b97a9cbf41e5b1dd9aab747a3e904a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T17:43:32.593075Z digest=sha256:c8f3c87333c3b84a059d23652a360429d36f8fdc7ee1901d9ae24b4723ec7367

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-10T19:22:08.306946Z digest=sha256:96cab2f9523aefb1d641afb5e316104899d4fc99d75a798196cc6c6f4a2ca04c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T16:45:37.278153Z digest=sha256:298e70da5e5c533c74f143f6907817f9d300ea7d97efe3dcd28d4c11247fa327

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T15:21:42.285340Z digest=sha256:971596cbbc111c7a137d38c4ac2699fa46242def3a7ddf315333f644f74b3880

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T15:55:57.330888Z digest=sha256:d5f2275c3d7daf99b398b82940cee29a145672787710844c6302b2b29123dc1b

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T14:57:12.827012Z digest=sha256:f2341eb1f5dd8a9ccf3dec2608ebba45f9f3528d2a2c0c858458cad106d68c42

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T20:58:30.855338Z digest=sha256:2c8c4b7bd8e9c951f50925997d562cc596efd0ec33543698dfb77049e9fb7d73