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Paper Citation Record · LEDGER

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation

As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2607.17366.

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

pith.paper-citation-record.v1
2607.17366 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:16:52.159711Z

measured 38 of 38 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:16:47.824858Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 72abece3-c238-4658-85bc-48e663214d53 · outbound

This paper cites Different from traditional emotion recog- nition, ERC analyzes dialogue turns and assigns one emotion label per utterance in the dialogue [2, 3].

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation Different from traditional emotion recog- nition, ERC analyzes dialogue turns and assigns one emotion label per utterance in the dialogue [2, 3]

Reference 1

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Observation 645a0f54-ba18-4311-83bb-a9a697feb0d2 · outbound

This paper cites EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation

Reference 2

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Observation 83f6c1b0-c479-443c-888a-63ae682d2e83 · outbound

This paper cites frustrated.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation frustrated

Reference 3

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Observation d5c4c135-59be-438a-bfdf-47d6c4fef071 · outbound

This paper cites an unresolved cited work.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation Unresolved cited work

Reference 4

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Observation 7f56b82f-b977-4a36-bbf6-d3df41f54d02 · outbound

This paper cites an unresolved cited work.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation Unresolved cited work

Reference 5

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Observation a2c4a905-2744-4b50-a8f2-c139c85bff74 · outbound

This paper cites All scientific content, experiments and analyses were produced and verified by the authors.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation All scientific content, experiments and analyses were produced and verified by the authors

Reference 6

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source=pdf_text observed=2026-08-01T18:16:48.195342Z digest=sha256:ccf74bead25760788b54539cf45c52ee156a3319a2accf31a20f0c31c2aba173

Observation 009ef8f6-bad0-4fba-83e3-c6f87b363d52 · outbound

This paper cites UNet-Based Fusion and Exponential Moving Average Adaptation for Noise-Robust Speaker Recognition.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation UNet-Based Fusion and Exponential Moving Average Adaptation for Noise-Robust Speaker Recognition

Reference 7

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Observation 1952ea8d-fd61-4cec-b8f4-48e39677ec5e · outbound

This paper cites Current state of text sentiment analysis from opinion to emotion mining,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation Current state of text sentiment analysis from opinion to emotion mining,

Reference 8

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source=pdf_text observed=2026-08-01T18:16:48.270725Z digest=sha256:1417807a61ac435d6a39ad41a9083e8fd4829c1fa28b135d4ae336f8e88b88a0

Observation 13515eed-cfca-4ab8-a1fb-39767cb1c7d9 · outbound

This paper cites Emotion recognition in conversation: Research challenges, datasets, and recent advances,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation Emotion recognition in conversation: Research challenges, datasets, and recent advances,

Reference 9

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source=pdf_text observed=2026-08-01T18:16:48.354608Z digest=sha256:b1c80e3f457460380dfd5fa465539da27e404e6c04ea0b723d0f0548b653fbce

Observation a3fa004d-5bce-4014-8b79-5143e8ce8222 · outbound

This paper cites MM-NodeFormer: Node transformer multimodal fusion for emotion recognition in conver- sation,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation MM-NodeFormer: Node transformer multimodal fusion for emotion recognition in conver- sation,

Reference 10

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source=pdf_text observed=2026-08-01T18:16:48.463551Z digest=sha256:f8b38c8844d388b28e0727178010795f137a1b59ff7cd7b16c464e7471f1ce14

Observation 0b1d7b1a-0a36-4ca0-80bd-e35dfd0958a1 · outbound

This paper cites MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation

Reference 11

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source=pdf_text observed=2026-08-01T18:16:48.540579Z digest=sha256:88234b7d057e08c23ae7ed92deac76ba67d19d25aad76b7e280fac68370bd382

Observation cb07972a-8a14-4b09-8ab2-e42e22aa7e12 · outbound

This paper cites Adaptive graph learning for multimodal conversational emotion detection,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation Adaptive graph learning for multimodal conversational emotion detection,

Reference 12

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source=pdf_text observed=2026-08-01T18:16:48.636778Z digest=sha256:b0c0cb108ce7c5af8e88b6f1297d0558581e63f13de93721198f6f2974ee886a

Observation e92b0f7a-3eb1-40b2-810a-c6ba5ba99a08 · outbound

This paper cites Distilling attention knowledge for speaker verification,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation Distilling attention knowledge for speaker verification,

Reference 13

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source=pdf_text observed=2026-08-01T18:16:48.718443Z digest=sha256:791897ae5ea3bcdd5b43e1685b5a19d0d63c2394f790ff5501f435f835d0a84d

Observation 2cc8a6a9-2011-4661-8997-3ff371acf5e5 · outbound

This paper cites A transformer-based model with self-distillation for multimodal emotion recognition in conversations,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation A transformer-based model with self-distillation for multimodal emotion recognition in conversations,

Reference 14

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source=pdf_text observed=2026-08-01T18:16:49.664826Z digest=sha256:09760bd0e97bb6d1e317128309c2713987efa80027009fee10df3937e959f0b6

Observation c01ace01-0473-4aa1-af77-233661c0da0b · outbound

This paper cites Curriculum learning meets directed acyclic graph for multimodal emotion recogni- tion,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation Curriculum learning meets directed acyclic graph for multimodal emotion recogni- tion,

Reference 15

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source=pdf_text observed=2026-08-01T18:16:48.946415Z digest=sha256:343ca8f594d454cdc0a35f8668585182c809e952654f750be8d24c5f8c8e4057

Observation f5886282-7ab0-4551-b7a8-63a8c175a898 · outbound

This paper cites De- noising student features with diffusion models for knowledge dis- tillation in speaker verification,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation De- noising student features with diffusion models for knowledge dis- tillation in speaker verification,

Reference 16

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source=pdf_text observed=2026-08-01T18:16:49.021798Z digest=sha256:a72b0b3b293bddd872e63981ce1b09e6cb18d25a049d3b1a586e6617d5a49b69

Observation 184e7a6f-9bc5-47b1-a5fc-d282b2bfb03e · outbound

This paper cites BA V-MossFormer2: En- hanced MossFormer2 for binaural audio-visual speech enhance- ment,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation BA V-MossFormer2: En- hanced MossFormer2 for binaural audio-visual speech enhance- ment,

Reference 17

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source=pdf_text observed=2026-08-01T18:16:49.143508Z digest=sha256:1baa043c8fd72aa48e8fde2d28ccc69f8d2085ca332a9f254ee6d82ff4eb9398

Observation bb91f7e8-0f42-42f1-a889-93840c1129d6 · outbound

This paper cites COLD Fusion: Calibrated and or- dinal latent distribution fusion for uncertainty-aware multimodal emotion recognition,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation COLD Fusion: Calibrated and or- dinal latent distribution fusion for uncertainty-aware multimodal emotion recognition,

Reference 18

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source=pdf_text observed=2026-08-01T18:16:49.222562Z digest=sha256:7eed218048faf4497a3cd24f62224b1f98332cf6d475224d351e545186e43476

Observation 4de94e72-4934-4909-968c-8a643d5f77d7 · outbound

This paper cites Feature-enhanced multi- modal interaction model for emotion recognition in conversation,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation Feature-enhanced multi- modal interaction model for emotion recognition in conversation,

Reference 19

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source=pdf_text observed=2026-08-01T18:16:49.376741Z digest=sha256:4b88938362fa1600b03420688f4727101d54ee4eb060fe4e6d427e900f01fda8

Observation 73919535-3b20-4181-b302-85a8ee2b9a73 · outbound

This paper cites IDIR: Identifying and Distilling Informative Relations for Speaker Verification,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation IDIR: Identifying and Distilling Informative Relations for Speaker Verification,

Reference 20

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source=pdf_text observed=2026-08-01T18:16:49.510511Z digest=sha256:73edd95a72a6e45e511decac4962ed2914c9efbff289feaa0c42e805493851bd

Observation f5c08cd9-b8e8-4a88-801a-e69325fb0869 · outbound

This paper cites ,fk] = FeatureFusion[R(t),R (a),R (v)],(4) wheref i ∈R Df denotes the fused multimodal embedding of utteranceu i.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation ,fk] = FeatureFusion[R(t),R (a),R (v)],(4) wheref i ∈R Df denotes the fused multimodal embedding of utteranceu i

Reference 21

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source=pdf_text observed=2026-08-01T18:16:47.874082Z digest=sha256:cb2702470dae11ad47e4d026045b4a7070fbbcca2caeb794322ea35d929e46c8

Observation 5d995a1f-7ddb-4018-b021-fdc78c76f36a · outbound

This paper cites Emotional inertia and psychological maladjustment,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation Emotional inertia and psychological maladjustment,

Reference 22

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source=pdf_text observed=2026-08-01T18:16:49.766434Z digest=sha256:f8b4576723c718adbe7c18ae40dff8ad93e7746714d89c9a9c5a15af1fef6e05

Observation 85bdb635-8b1d-480d-a8b1-d795aadd987e · outbound

This paper cites Emotional inertia and external events: The roles of exposure, reactivity, and recovery,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation Emotional inertia and external events: The roles of exposure, reactivity, and recovery,

Reference 23

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source=pdf_text observed=2026-08-01T18:16:49.879939Z digest=sha256:ae1c32c01191526d4f5224b63c7b1e56062a1c498cf6ed65ebdc50ccdddb9e74

Observation a5666021-908d-46c5-9cc5-f7701cbc71c3 · outbound

This paper cites Emotion recognition in conversations with emotion shift detection based on multi-task learning,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation Emotion recognition in conversations with emotion shift detection based on multi-task learning,

Reference 24

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source=pdf_text observed=2026-08-01T18:16:50.009513Z digest=sha256:35920dd20dad6c49aeff59d45e601a0958141c0e26279af453c51ffb8b138fa3

Observation ab6a7b5e-b10e-4a61-b269-422ded8b7657 · outbound

This paper cites Hybrid curriculum learn- ing for emotion recognition in conversation,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation Hybrid curriculum learn- ing for emotion recognition in conversation,

Reference 25

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source=pdf_text observed=2026-08-01T18:16:50.132145Z digest=sha256:e96e22ca26ec074add56414aa50f2e17b161a94bdee0aa9b17c2e9469b7a2008

Observation 1c032a20-ee69-4d70-b653-7d7bb73f61ae · outbound

This paper cites The Emotion is Not One-hot Encoding: Learning with Grayscale Label for Emotion Recognition in Conversation,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation The Emotion is Not One-hot Encoding: Learning with Grayscale Label for Emotion Recognition in Conversation,

Reference 26

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source=pdf_text observed=2026-08-01T18:16:50.204190Z digest=sha256:9127a777650d4d09699c9840c4063963d103506bbaf0c2737d95ea0c6a61eb8c

Observation fbc0fa7e-ffa2-4acf-a14e-3832a8c4ddc2 · outbound

This paper cites Beyond single emotion: Multi-label ap- proach to conversational emotion recognition,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation Beyond single emotion: Multi-label ap- proach to conversational emotion recognition,

Reference 27

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source=pdf_text observed=2026-08-01T18:16:50.337252Z digest=sha256:428a0c16a3bb3fee8326ae065d3e956bbbe22219ec5b2f685e3cfa3efb45170b

Observation 21d77d50-9852-4da9-a62f-6eda1a211042 · outbound

This paper cites M2FNET: Multi-modal fusion network for emotion recognition in conversation,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation M2FNET: Multi-modal fusion network for emotion recognition in conversation,

Reference 28

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source=pdf_text observed=2026-08-01T18:16:50.447076Z digest=sha256:8cc306d72faf5fd6ad8888c3aa620f26611dfab50cb10f685648822d3f7874ce

Observation 380ded5e-fbbe-4158-ae3d-3daffa656ca6 · outbound

This paper cites DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation

Reference 29

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source=pdf_text observed=2026-08-01T18:16:50.602525Z digest=sha256:d4c9f04a0f32bab4ec52e1072190e5f56f9315998d9f48ad8281db5158cc429f

Observation 582d0d96-59ab-4dae-8baf-17c1da83f246 · outbound

This paper cites CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion Recognition.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion Recognition

Reference 30

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source=pdf_text observed=2026-08-01T18:16:50.710392Z digest=sha256:c5576bb03b8e3d28179f538adfc191292f743ca3d0881265856e840ee1df9907

Observation 37bd7782-6589-4790-9732-7dbef7cbb058 · outbound

This paper cites DER-GCN: Dialog and event relation-aware graph convolutional neural network for mul- timodal dialog emotion recognition,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation DER-GCN: Dialog and event relation-aware graph convolutional neural network for mul- timodal dialog emotion recognition,

Reference 31

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source=pdf_text observed=2026-08-01T18:16:50.896934Z digest=sha256:7b42ac00e30160750f1c22f0cdafb3bf6b8b3535157c6967f46d12b62e54b6b1

Observation e18e443f-da23-45e9-b58f-049d00e23dcc · outbound

This paper cites IEMOCAP: Interactive emotional dyadic motion capture database,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation IEMOCAP: Interactive emotional dyadic motion capture database,

Reference 32

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source=pdf_text observed=2026-08-01T18:16:51.116094Z digest=sha256:12ce342c4124ded1997f882c7080dd9cfcb43c3e7f7439452f5205dd66a756da

Observation acb99571-8d10-496e-a60d-d94f803d3602 · outbound

This paper cites MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

Reference 33

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source=pdf_text observed=2026-08-01T18:16:51.388447Z digest=sha256:9d13f28a108b42c719ac8cd6db94c2e28d1747feb87ea0bb59c867deed13ef7a

Observation 65ef8de5-cdb8-4f65-b8b3-12ebf86e9d54 · outbound

This paper cites MM-DFN: Mul- timodal dynamic fusion network for emotion recognition in con- versations,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation MM-DFN: Mul- timodal dynamic fusion network for emotion recognition in con- versations,

Reference 34

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source=pdf_text observed=2026-08-01T18:16:51.573531Z digest=sha256:8fdb6e8b490ae221134f1253502a4c4cab7079c55fccc08cb3e9213dafb0e60d

Observation 562f7139-2ce8-42d6-82ac-5c8af71d4bb6 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 35

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Observation 889ee96b-5f5f-4930-b71d-373a72fbb195 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,

Reference 36

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Observation 93f7e0d0-c137-4a83-8959-266640fd94ac · outbound

This paper cites Learning transferable visual models from natural language supervision,.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation Learning transferable visual models from natural language supervision,

Reference 37

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Pith citing papers

Observation 645a0f54-ba18-4311-83bb-a9a697feb0d2 · inbound

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation cites this paper.

EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation

Reference 2

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source=pdf_text observed=2026-08-01T18:16:47.824858Z digest=sha256:8d56f85b55e65f293838c3e951b2537c6a0fffe0782ee761f2daba1b72e70590