Paper Citation Record · LEDGER

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects

As of 8 August 2026, this Paper Citation Record lists 100 of 131 outbound references and 5 inbound Pith citation observations for arXiv:2505.20511.

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

pith.paper-citation-record.v1
2505.20511 v2

Coverage vector

measured 100 of 131 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:56:51.036478Z

measured 105 of 105 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:56:03.435550Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-05T12:41:04.404182Z

Reference resolution

100 of 131 outbound references displayed

verified exact19
verified fuzzy0
unresolved79
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dea752b6-ad53-4150-be89-2fa1a7e3e0f4 · outbound

This paper cites online" 'onlinestring :=.

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects online" 'onlinestring :=

Reference 1

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Source-reported events for the cited work

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Observation a6f44163-b581-48b4-85bc-a73fc2729b5b · outbound

This paper cites write newline.

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects write newline

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7426b58e-f69d-42c3-ab43-6d6bec87fc41 · outbound

This paper cites and Vetriselvi V.

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects and Vetriselvi V

Reference 3

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Source-reported events for the cited work

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Observation bf5cb712-24d6-4127-83fe-3fe1d9694aa1 · outbound

This paper cites an unresolved cited work.

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Unresolved cited work

Reference 4

Resolution: verified exact; doi, observed 2026-08-07T13:56:56.280665Z

Source-reported events for the cited work

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Observation 036f9efd-c78d-48a9-96e8-e21840c15669 · outbound

This paper cites an unresolved cited work.

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Unresolved cited work

Reference 5

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Source-reported events for the cited work

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Observation c6c8e8bf-0639-4140-9f0f-4880b7a9fb62 · outbound

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Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Unresolved cited work

Reference 6

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Source-reported events for the cited work

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Observation 724e72fb-0868-4b87-a79f-a79f1bd2c57e · outbound

This paper cites Multi-Modal Emotion Detection with Transfer Learning.

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Multi-Modal Emotion Detection with Transfer Learning

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 530fbd97-6dc7-40c3-95cb-387f5e46ac9c · outbound

This paper cites Aruna Gladys and V.

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Aruna Gladys and V

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8549cb5-3c51-436d-a9e1-996b89a2bf67 · outbound

This paper cites Atrey, M.

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Atrey, M

Reference 9

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Source-reported events for the cited work

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Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Unresolved cited work

Reference 10

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Unresolved cited work

Reference 11

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Source-reported events for the cited work

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Observation f5b9b616-3531-422d-837e-0956db3606c8 · outbound

This paper cites an unresolved cited work.

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Unresolved cited work

Reference 12

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Source-reported events for the cited work

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Observation 471db3fa-a6ba-4be6-9e99-ea0cf1fa4431 · outbound

This paper cites an unresolved cited work.

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Unresolved cited work

Reference 13

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Source-reported events for the cited work

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Observation 89fe1325-345c-46e6-a60e-71b4f584310b · outbound

This paper cites Chang, Sungbok Lee, and Shrikanth S.

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Chang, Sungbok Lee, and Shrikanth S

Reference 15

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Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Qwen2-Audio Technical Report

Reference 16

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Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Unresolved cited work

Reference 17

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This paper cites an unresolved cited work.

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Unresolved cited work

Reference 18

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Observation ebe3273e-28aa-4430-b64e-96b8203fbb61 · outbound

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Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Unresolved cited work

Reference 19

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Source-reported events for the cited work

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Observation c7382fa6-9169-4e11-a0b2-03b22c0566c5 · outbound

This paper cites C., Mukta Sandhu, and Jagdish Chandra Patni.

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects C., Mukta Sandhu, and Jagdish Chandra Patni

Reference 20

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Observation 69c4f873-9993-4f4a-9f03-b79854db2ad6 · outbound

This paper cites LLM supervised Pre-training for Multimodal Emotion Recognition in Conversations.

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects LLM supervised Pre-training for Multimodal Emotion Recognition in Conversations

Reference 21

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Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Unresolved cited work

Reference 22

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Source-reported events for the cited work

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Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects o llmer, and Bj\

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Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Unresolved cited work

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Observation c08c528f-3abb-43e8-97f9-8ef52a15dd22 · outbound

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Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Cross-modal Context Fusion and Adaptive Graph Convolutional Network for Multimodal Conversational Emotion Recognition

Reference 25

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Reference 27

Resolution: verified exact; doi, observed 2026-08-07T13:56:55.852921Z

Source-reported events for the cited work

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Observation 47a9f34e-a083-4492-b6c5-4f43aed2a5d3 · outbound

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Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects LaERC-S: Improving LLM-based Emotion Recognition in Conversation with Speaker Characteristics

Reference 28

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Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Unresolved cited work

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Observation b2836904-0992-4631-aa2d-6343cac3ed78 · outbound

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Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects BeMERC: Behavior-Aware MLLM-based Framework for Multimodal Emotion Recognition in Conversation

Reference 30

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Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects M-MELD: A Multilingual Multi-Party Dataset for Emotion Recognition in Conversations

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Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Houssein, Asmaa Hammad, Nagwan Abdel Samee, Manal Abdullah Alohali, and Abdelmgeid A

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Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Unresolved cited work

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Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Weinberger

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Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Albouq, Khlood Shinan, Fatmah Alanazi, Muhammad Waseem Iqbal, and M

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Observation 69f78d88-f4af-4dce-8113-483d9ad3a298 · outbound

This paper cites Milon Islam, Sheikh Nooruddin, Fakhri Karray, and Ghulam Muhammad.

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Milon Islam, Sheikh Nooruddin, Fakhri Karray, and Ghulam Muhammad

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Observation 0e5be915-acd5-4d46-ac04-fdf64ab20c44 · outbound

This paper cites an unresolved cited work.

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Unresolved cited work

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Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion Recognition

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Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects RoBERTa: A Robustly Optimized BERT Pretraining Approach

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Resolution: verified exact; doi, observed 2026-08-07T13:56:54.463356Z

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Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Akan Cinematic Emotions (ACE): A Multimodal Multi-party Dataset for Emotion Recognition in Movie Dialogues

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Observation ca50a82d-cac6-4ac0-9552-90cd5777fb8e · outbound

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Observation 7a6dbc48-359e-49ad-95bd-795de28bc509 · outbound

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Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T13:56:57.444947Z

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Observation b1c9ffa5-5a73-4680-bc3b-ac08862af7c1 · outbound

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Observation b0f4f5bc-12b0-4656-a4c7-2e8385d3224c · outbound

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Pith citing papers

Observation 3baf0bf4-0123-43a8-9954-62ceef008c27 · inbound

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition cites this paper.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects

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Observation ca94a5bf-1870-4877-971b-1995add0641f · inbound

Beyond Monolingual Assumptions: A Survey of Code-Switched NLP in the Era of Large Language Models across Modalities cites this paper.

Beyond Monolingual Assumptions: A Survey of Code-Switched NLP in the Era of Large Language Models across Modalities Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects

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Observation 8b9d61c3-3bf8-4979-8e31-9a1ea5f15cbe · inbound

MISID: A Multimodal Multi-turn Dataset for Complex Intent Recognition in Strategic Deception Games cites this paper.

MISID: A Multimodal Multi-turn Dataset for Complex Intent Recognition in Strategic Deception Games Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects

Reference 56

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Observation 8221b71f-f60b-4eab-9db8-2b2584f356c4 · inbound

AffectSeek: Agentic Affective Understanding in Long Videos under Vague User Queries cites this paper.

AffectSeek: Agentic Affective Understanding in Long Videos under Vague User Queries Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects

Reference 1

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Source-reported events for the cited work

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Observation 27e5bf79-dc98-4abb-8daa-62718a0628b0 · inbound

MA-DLE: Speech-based Automatic Depression Level Estimation via Memory Augmentation cites this paper.

MA-DLE: Speech-based Automatic Depression Level Estimation via Memory Augmentation Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects

Reference 32

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