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Paper Citation Record · LEDGER

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion

As of 8 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2507.21395.

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

pith.paper-citation-record.v1
2507.21395 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:53:11.190273Z

measured 53 of 53 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

53 of 53 outbound references displayed

  • verified exact3
  • verified fuzzy44
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c8907b39-3d64-4146-89e8-af09aa2a51ee · outbound

This paper cites Exploring emotional connections: A systematic literature review of attachment in human-robot interaction,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Exploring emotional connections: A systematic literature review of attachment in human-robot interaction,

Reference 1

Resolution
verified fuzzy
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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.

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Observation 5e48f0f1-6c6d-41e2-90f2-b98f62f5b8f0 · outbound

This paper cites Ai, robotics, medicine and health sciences,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Ai, robotics, medicine and health sciences,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:12.292061Z

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.

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Observation a840a6de-b39a-4a9a-a800-3483b22c357c · outbound

This paper cites A scoping review of the literature on prosodic elements related to emotional speech in human-robot interaction,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion A scoping review of the literature on prosodic elements related to emotional speech in human-robot interaction,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:12.273745Z

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.

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Observation 30e87067-317c-428c-92db-ddb8b56c14ec · outbound

This paper cites A novel emotion recognition system for human– robot interaction (hri) using deep ensemble classification,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion A novel emotion recognition system for human– robot interaction (hri) using deep ensemble classification,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:12.253509Z

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=2026-08-06T12:53:10.916925Z digest=sha256:2bfdb1a19058c9bc177324231ed4af707def4787e391c3bbd4a11e01c87ab2e8

Observation 13172f86-aba6-4a77-8b93-694597901a88 · outbound

This paper cites Towards the development of affective facial expression recognition for human-robot interaction,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Towards the development of affective facial expression recognition for human-robot interaction,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:12.236267Z

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=2026-08-06T12:53:10.921596Z digest=sha256:f84378d3cd1edf46fe1d25315f40fd9f60b1d17af27e4b1ed8bad90441c18adb

Observation 5772f65b-8e7d-40ab-b984-b735232feb9c · outbound

This paper cites Multimodal human–robot interaction for human-centric smart manufacturing: a survey,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Multimodal human–robot interaction for human-centric smart manufacturing: a survey,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:12.218397Z

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=2026-08-06T12:53:10.926328Z digest=sha256:af6ff5492223e479c98c2df618a7cec1dbcb6089b2e271909e82d5eeba54c586

Observation b4f02fb9-2a47-490d-aea8-af533a34a17d · outbound

This paper cites Beyond sentiment analysis: A review of recent trends in text based sentiment analysis and emotion detection,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Beyond sentiment analysis: A review of recent trends in text based sentiment analysis and emotion detection,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:12.203129Z

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=2026-08-06T12:53:10.931969Z digest=sha256:f30f33681fc13cfd6d0cf8b63a66e4fe102ff996013e3dcd466e72683885544f

Observation eb86e02a-07ea-44f0-895b-3eb62ed77744 · outbound

This paper cites Deep learning–based text classification: a comprehensive review,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Deep learning–based text classification: a comprehensive review,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:12.188315Z

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=2026-08-06T12:53:10.936766Z digest=sha256:1b43f4df8f703090cfbf9c332dfddc8973de72aa06dfc6000e5a9ea4fc326ef3

Observation e49521c0-ac90-4486-baf5-5e7234174e67 · outbound

This paper cites Building emotional dictionary for sentiment analysis of online news,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Building emotional dictionary for sentiment analysis of online news,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:12.173276Z

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=2026-08-06T12:53:10.941709Z digest=sha256:9de30ce7b23a92d08c17c205127e40460f2046faf31f775382af307565625125

Observation 5e425230-78a3-4ef5-9624-5d8c2bc2749f · outbound

This paper cites Deep convolutional neural networks for sentiment analysis of short texts,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Deep convolutional neural networks for sentiment analysis of short texts,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:12.156368Z

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=2026-08-06T12:53:10.946624Z digest=sha256:2fd6e2aa9bcdc1ef1348686962e0e3c9112a70c9daae4d56c1df16d7f9c989fe

Observation b572515e-e625-4097-b6bf-8639821f7fbc · outbound

This paper cites A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:10.951051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:10.951051Z digest=sha256:7af2edf82cbb2c2cd8c3549c376157ced027924a22176935d644aff11f911234

Observation f5226e0e-e3bc-4196-96d1-0016f390cba6 · outbound

This paper cites Recurrent neural networks for emotion recognition in video,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Recurrent neural networks for emotion recognition in video,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:12.141024Z

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=2026-08-06T12:53:10.956925Z digest=sha256:909321cc74a52f077f5c20d27af57fc090414f34c7daf0210587fa866f09e03a

Observation 044045db-ecde-4f93-abc1-4238d311cd73 · outbound

This paper cites Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) network,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) network,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:12.124244Z

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=2026-08-06T12:53:10.961416Z digest=sha256:1f93ba9a81ba3a8bb580ff15c9bb7509f9e7bfb7f934f79279c501420e6c1867

Observation 2ab7bb32-d0d6-4225-9b3f-dbee271ad00a · outbound

This paper cites Text sentiment analysis based on long short-term memory,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Text sentiment analysis based on long short-term memory,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:12.109507Z

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=2026-08-06T12:53:10.965861Z digest=sha256:dbf78d721821d32863cc5651951aaccbe65c365e382c82a025f223253be2de26

Observation 3f2e417f-6f12-4861-9304-7c8905a9d0ab · outbound

This paper cites Emotion recognition from facial expressions using hybrid feature descriptors,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Emotion recognition from facial expressions using hybrid feature descriptors,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:12.094855Z

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=2026-08-06T12:53:10.970592Z digest=sha256:a4db101be670717f401e1d768a8722787fe444b312b2bdaad8cfc4ea8929d589

Observation 0cd8de46-0e41-488f-9a1d-496746b20724 · outbound

This paper cites Using multiple steerable filters and bayesian regularization for facial expression recognition,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Using multiple steerable filters and bayesian regularization for facial expression recognition,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:12.079812Z

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=2026-08-06T12:53:10.974896Z digest=sha256:9cf13f295ffedd1e7ec79c36465558e82d2e2b248215e5baaf06e970f20928d7

Observation dffe03a9-5a99-4032-a446-a4aefcad4e72 · outbound

This paper cites Automatic speech emotion recogni- tion using support vector machine,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Automatic speech emotion recogni- tion using support vector machine,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:12.064621Z

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=2026-08-06T12:53:10.979660Z digest=sha256:bc93cf7a051df8e2d299611634209c33dc377222032f6a8057c1ec90137d5b2f

Observation aadc8dde-adb4-4df0-a6d2-ebe7333a39c3 · outbound

This paper cites Adieu features? end-to-end speech emotion recognition using a deep convolutional recurrent network,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Adieu features? end-to-end speech emotion recognition using a deep convolutional recurrent network,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:12.048643Z

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=2026-08-06T12:53:10.984240Z digest=sha256:e82530b2b6a9b89243937437909d7d80e957f9a9c04910c4fb453786840d41f1

Observation ccaf72a0-0aaa-4196-bf20-255fadbcc725 · outbound

This paper cites Micro-expression recognition based on 3d flow convolutional neural network,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Micro-expression recognition based on 3d flow convolutional neural network,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:12.029312Z

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=2026-08-06T12:53:10.988606Z digest=sha256:006c9509389e3364d64f3dac8bd4e8b0ffd666fff88c4f85b7860506d281cfbb

Observation df32d6e6-4ea6-4109-a0c9-25a0c2397baf · outbound

This paper cites Applying segment-level attention on bi- modal transformer encoder for audio-visual emotion recognition,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Applying segment-level attention on bi- modal transformer encoder for audio-visual emotion recognition,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:12.012333Z

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=2026-08-06T12:53:10.993637Z digest=sha256:22f691e6d233143e64a359f39cfd125188904141c9fc72e405694ee301cc6720

Observation 32e84e13-d5eb-4b76-8154-d1f198e63977 · outbound

This paper cites Multimodal and temporal perception of audio-visual cues for emotion recognition,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Multimodal and temporal perception of audio-visual cues for emotion recognition,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.995330Z

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=2026-08-06T12:53:10.998395Z digest=sha256:ccfaea8d5bd8db59146e1fb4337646b68db43678688008ffaee29d824332fbd8

Observation a318e279-2920-4720-b4ec-f79d1a17fe68 · outbound

This paper cites Multimodal emotion recognition using deep generalized canonical correlation analysis with an attention mechanism,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Multimodal emotion recognition using deep generalized canonical correlation analysis with an attention mechanism,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.978784Z

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=2026-08-06T12:53:11.002793Z digest=sha256:c2f86f6b5566cd77852470352d401a8ca5cf4dea1b8cda7fe270d44ce9f0ef4b

Observation db8d1567-aee3-4403-a658-6cd2edc3d663 · outbound

This paper cites Outlier processing in multimodal emotion recognition,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Outlier processing in multimodal emotion recognition,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.963667Z

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=2026-08-06T12:53:11.007286Z digest=sha256:f47176acb24656aa1e60d2df6c8337bd620012cacc89f500431519d81cd5bea6

Observation b697cbe2-cc6a-4015-b691-ad6671a99d19 · outbound

This paper cites Graph-based hierarchical semantic consistency network for remote sensing image-text retrieval,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Graph-based hierarchical semantic consistency network for remote sensing image-text retrieval,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.947904Z

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=2026-08-06T12:53:11.013056Z digest=sha256:97178529b8401ae8b5ee14b0ea940384087d5ebdfbb1ac628bb14f55d74c2dd5

Observation 78315896-7a8b-4499-8d94-69a188c31dc9 · outbound

This paper cites Fine-grained alignment and interaction for video grounding with cross- modal semantic hierarchical graph,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Fine-grained alignment and interaction for video grounding with cross- modal semantic hierarchical graph,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.931739Z

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=2026-08-06T12:53:11.017794Z digest=sha256:f0f4151037349a4cb2f47280f55a5539bbe8bad68d042c65c11a08e5a17931a8

Observation 924eb5c1-c193-4b6c-a078-e8d6004e3d65 · outbound

This paper cites Hybrid multi-attention network for audio–visual emotion recognition through multimodal feature fusion,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Hybrid multi-attention network for audio–visual emotion recognition through multimodal feature fusion,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.913749Z

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=2026-08-06T12:53:11.022422Z digest=sha256:4f071ea3a604c870408da51cf61a556d91a69d8c2c983e7201e2224c1fe4a48f

Observation 084c2dc1-9f4e-4cad-9b44-a9f6acf77aaf · outbound

This paper cites Aia-net: Adaptive interactive attention network for text–audio emotion recognition,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Aia-net: Adaptive interactive attention network for text–audio emotion recognition,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.898082Z

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=2026-08-06T12:53:11.028268Z digest=sha256:c21fad6c6f8a3c255de703e1d351b2c3175bff3f0530bb83c063653a2c7a0ff1

Observation e7a28fdf-9d2f-4f4f-b4a7-8f129cd58f47 · outbound

This paper cites Dynamic and static fusion mechanisms of infrared and visible images,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Dynamic and static fusion mechanisms of infrared and visible images,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.881056Z

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=2026-08-06T12:53:11.034610Z digest=sha256:ae648de3a22d8b40844db701e772576a140a52a690d3656f12770ceba639c04b

Observation 62768984-9e57-4e85-b579-bf1e05b56eff · outbound

This paper cites Adaptive Fusion Techniques for Multimodal Data.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Adaptive Fusion Techniques for Multimodal Data

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:11.039296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:11.039296Z digest=sha256:379ec7d1454d478774288da9463239d218596bb8d092b5ccc95404505ca0325e

Observation 169c8c2d-444e-4ddf-9aed-d586519c2cfd · outbound

This paper cites CoRTX: Contrastive Framework for Real-time Explanation.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion CoRTX: Contrastive Framework for Real-time Explanation

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:53:11.498118Z

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=2026-08-06T12:53:11.050662Z digest=sha256:b28daa0d36a9ab5bf5edd6b50cd9989d339b864650227971bf62a0d234f2ebbb

Observation a80d9179-f257-431c-9eac-55c85c46a171 · outbound

This paper cites HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:53:11.436791Z

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=2026-08-06T12:53:11.056219Z digest=sha256:261aee416632e18939e8fdeb8fff5e990f9f2681d68a38f885ed588a64925a30

Observation ab587487-9456-4776-b6f8-1d525a36421f · outbound

This paper cites Semantic-emotion neural network for emotion recognition from text,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Semantic-emotion neural network for emotion recognition from text,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.865238Z

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=2026-08-06T12:53:11.062074Z digest=sha256:03d6bb841ccf72a18044e27f3962b627a16a533c75c279e4f7d21c45d6f97ed8

Observation 89067538-fa8a-4651-b22f-8d0e6ab4cf1a · outbound

This paper cites Aspect-based sen- timent analysis via affective knowledge enhanced graph convolutional networks,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Aspect-based sen- timent analysis via affective knowledge enhanced graph convolutional networks,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.849544Z

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=2026-08-06T12:53:11.067483Z digest=sha256:5fc99e8fa0fd2a4c00cc6db5671af6abb092d43e60b558e0e4df211095342db6

Observation 4b084878-66c3-41de-90c4-8b679062a101 · outbound

This paper cites Graph con- volutional network with multiple weight mechanisms for aspect-based sentiment analysis,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Graph con- volutional network with multiple weight mechanisms for aspect-based sentiment analysis,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.833172Z

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=2026-08-06T12:53:11.074281Z digest=sha256:cb4511df2dcf595ad580689ff5aaa7f5461cc0df0e1a1ddf8f97043a6064aecb

Observation da61e49f-3a51-46bb-bd13-4591c95c61ca · outbound

This paper cites Multimodal emotion recognition in polish (student consortium),.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Multimodal emotion recognition in polish (student consortium),

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.815309Z

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=2026-08-06T12:53:11.079139Z digest=sha256:7f0c8f9a42042ec60b43b53d1676a67bc6e40fed48efd8e755f169b37eb1ac0c

Observation f8ef073a-2ec8-4249-9010-4df1e551b7b3 · outbound

This paper cites Cfn-esa: A cross-modal fusion network with emotion-shift awareness for dialogue emotion recognition,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Cfn-esa: A cross-modal fusion network with emotion-shift awareness for dialogue emotion recognition,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.799257Z

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=2026-08-06T12:53:11.084367Z digest=sha256:0369420e2f30b8cf065a1aa2fc01a34b9db1f391641d8784ca139cb139572c6e

Observation 48e87261-9aef-4224-af2f-158fe7d7ef14 · outbound

This paper cites Multi-modal emotion recognition in conversation based on prompt learning with text-audio fusion features,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Multi-modal emotion recognition in conversation based on prompt learning with text-audio fusion features,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.781257Z

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=2026-08-06T12:53:11.091821Z digest=sha256:eabdaac17033d3663d7b859486cee6c101c1329ecd89124693f0984dbed6ec1b

Observation 677edfdc-a92f-4841-8db8-4b9bc47f269b · outbound

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

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:11.097917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:11.097917Z digest=sha256:8ce82a461801b8a45752984e73f5f84363e515306b472bf01480cb554b555903

Observation edb16290-4309-4446-b2ca-593d782ba975 · outbound

This paper cites Rgat: A deeper look into syntactic dependency information for coreference resolution,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Rgat: A deeper look into syntactic dependency information for coreference resolution,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.764756Z

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=2026-08-06T12:53:11.104682Z digest=sha256:c362a7fc282c1976777eed02f8d1a30cff333c6f81d2c622162507732e4f01af

Observation 0f8b2911-fa91-4443-96a5-125faa4cfd51 · outbound

This paper cites Sdr-gnn: Spectral domain reconstruction graph neural network for incomplete multimodal learning in conversational emotion recognition,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Sdr-gnn: Spectral domain reconstruction graph neural network for incomplete multimodal learning in conversational emotion recognition,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.745394Z

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=2026-08-06T12:53:11.110038Z digest=sha256:e5cec59f793feaba77d4c411951bd3334b3214c323c0a02379cbbcaaa6ab6a68

Observation 7c3f5814-5af2-423a-a201-cfc314beca45 · outbound

This paper cites Multivariate, multi-frequency and multimodal: Rethinking graph neural networks for emotion recog- nition in conversation,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Multivariate, multi-frequency and multimodal: Rethinking graph neural networks for emotion recog- nition in conversation,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.728041Z

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=2026-08-06T12:53:11.115173Z digest=sha256:4dd303c54b92e681059820c4a7a7badd66bb794ccc09cc3c942e02f71a4fee2d

Observation 425a2f1c-c3a1-43a3-86b5-296ecd61946e · outbound

This paper cites Multimodal decoupled dis- tillation graph neural network for emotion recognition in conversation,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Multimodal decoupled dis- tillation graph neural network for emotion recognition in conversation,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.711607Z

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=2026-08-06T12:53:11.120242Z digest=sha256:b64d5eb0ffe1e18f7e7c06b785cd8b25d28883bf5ba5fbb528d281a18fbc813c

Observation 688134a8-235c-436a-af76-d40ba9c6095d · outbound

This paper cites Conversational memory network for emotion recognition in dyadic dialogue videos,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Conversational memory network for emotion recognition in dyadic dialogue videos,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.692640Z

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=2026-08-06T12:53:11.125664Z digest=sha256:769ad4c1de9efa65c4edc094b08997561aa401bc40e6e7644d1dd4146c527339

Observation d1a4b21c-722d-4341-90e9-c9c8bd3507f3 · outbound

This paper cites Icon: Interactive conversational memory network for multimodal emo- tion detection,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Icon: Interactive conversational memory network for multimodal emo- tion detection,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.671898Z

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=2026-08-06T12:53:11.131591Z digest=sha256:75f92ed0bb45fb9f94b4e40084a7bc7542d98e145bbb7983da3ca7e19c34154d

Observation 0f6e0ed8-cb3e-4326-95a8-f3fb5f47e249 · outbound

This paper cites Dialoguernn: An attentive rnn for emotion detection in conversations,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Dialoguernn: An attentive rnn for emotion detection in conversations,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.652544Z

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=2026-08-06T12:53:11.137184Z digest=sha256:280672a267dd5bafa4cb3161d7bba340e236d28891ed8d9da445111c7ff1996e

Observation eed97ed0-7c05-4392-b80a-0152c75c08dd · outbound

This paper cites Dialoguecrn: Contextual reasoning net- works for emotion recognition in conversations,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Dialoguecrn: Contextual reasoning net- works for emotion recognition in conversations,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.634776Z

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=2026-08-06T12:53:11.142390Z digest=sha256:590707bc76988ee8a306cf94993bb69e514fcdf6b859d0742ef3d0540cc8f839

Observation 48734d00-832a-4382-91c4-c3c610710c6c · outbound

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

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:11.147490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:11.147490Z digest=sha256:b8b3cd0593487de51c76157965605c543a9f8ba5c70303c2f634ae9a824b2a96

Observation 97c2495c-ea7d-4338-8bb3-b08d44e21a60 · outbound

This paper cites COGMEN: COntextualized GNN based Multimodal Emotion recognitioN.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion COGMEN: COntextualized GNN based Multimodal Emotion recognitioN

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:11.153551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:11.153551Z digest=sha256:dd8287b418d0e840369ab2c0824b9d842e1745a9e813871adec356068fdb1c91

Observation acd776cb-244c-40e1-898d-f48b2ccdd938 · outbound

This paper cites Joyful: Joint modality fusion and graph contrastive learning for multimoda emotion recogni- tion,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Joyful: Joint modality fusion and graph contrastive learning for multimoda emotion recogni- tion,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.618699Z

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=2026-08-06T12:53:11.160990Z digest=sha256:41ddac59422448fbe8adca3ebe9b16032cd6717f5342a974b952de5a95eaa17f

Observation e2636b35-446e-4625-b11b-88d073e4820a · outbound

This paper cites Mm-dfn: Multimodal dynamic fusion network for emotion recognition in conversations,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Mm-dfn: Multimodal dynamic fusion network for emotion recognition in conversations,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.601653Z

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=2026-08-06T12:53:11.169474Z digest=sha256:3814ff5c500203bfb785fd2841feb76cb36e8701f2868b4e186ec54eb8aa7408

Observation 0f0a91bb-705f-4b83-a70e-9e535d353e90 · outbound

This paper cites Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion Recognition.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion Recognition

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:11.175855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:11.175855Z digest=sha256:59205f75d4ddf72c64b439c042fbe2b5a4488132ada56b0fca9f61f3f4bb67aa

Observation c1fbbc7a-3af7-434c-ac16-c780053d887b · outbound

This paper cites Der-gcn: Dialog and event relation-aware graph convolutional neural network for multimodal dialog emotion recognition,.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Der-gcn: Dialog and event relation-aware graph convolutional neural network for multimodal dialog emotion recognition,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:11.582914Z

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=2026-08-06T12:53:11.184214Z digest=sha256:51b5aea784a320ea44748559b9d72cc91643878e9d7bb54cbac701e3cc34b6d0

Observation 639c7448-3776-446a-bf7a-7c29b9cf2ed6 · outbound

This paper cites Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:53:11.258925Z

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=2026-08-06T12:53:11.190273Z digest=sha256:821aeafbe054cbdd8558c49bda6d6024efa2b977d0d1d2d6ee3e7d334b06d8c9

Pith citing papers

No inbound Pith citation observations are available.