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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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
raw_fallback, observed 2026-08-06T12:53:12.308932Z

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.

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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:10.916925Z digest=sha256:8fd0a2997c95b4896df4610728720844ac66db8828293d8c36fadfb175b48056

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:10.921596Z digest=sha256:87d4d9cd72e092847a56774de73f4834c3b93b2eb6f726c0ffd871f91ccf738e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:10.926328Z digest=sha256:188726e73d435249eb851f5470c397c5be9ae13be84c2cd69fbc6ab624f47e01

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:10.931969Z digest=sha256:3c3067a32ae9365c87e0dbc452220245afc7250d5c6501884a1d55bda2f1d348

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:10.936766Z digest=sha256:0bfef9b3b8769ed2cdba32bf31d7f42c26f3de113e0c85772aff0d8e4b3dd986

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:10.941709Z digest=sha256:b9be0088a99b10782a0d5a9ec1b5e74854819a20ba9ca1e6ec4dffbe538b8ad9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:10.946624Z digest=sha256:6af88cfda3476ed37b73e045cd9c43d273eac8cca6ce41aac597843b316d9c66

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:10.956925Z digest=sha256:a482c468ed8acf4651906e099d6a157630bbae7fdb4b1150bb83effa00190b1d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:10.961416Z digest=sha256:2dd07146d8e51c439240484eeb46257e2ac600c5c7f01d57a2448cd72f2cc60b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:10.965861Z digest=sha256:f71968a5a03d83e5e02cd08ea0b426a85f92ba3e6efea1f3dfbd8510db2fb41b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:10.970592Z digest=sha256:d1c8fe68e16694ec1e437eff9b4cc959ebcb9963981240049a6674d5378f3635

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:10.974896Z digest=sha256:2b61a349dda700b358e8342b79050f4f740c707f45b1092fc4cf9b4efe4b31d4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:10.979660Z digest=sha256:e36ea83013b6849077b84ae6969508b62cab6e8b48cc5155bd640cdcc6f17c1d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:10.984240Z digest=sha256:99cc15297bcd35e2946cb89e0200b08c482c7000e6fb636236bdfa78e76395ec

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:10.988606Z digest=sha256:c95c4be60a382299c701422e1ef4b80c236f3e5376bd80ecb0cd64127087ee82

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:10.993637Z digest=sha256:c62d4addf072045f8732d82814041b176148427171dd9947594794bc9d849cae

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:10.998395Z digest=sha256:5da480c96ec7d45251e02c48ef258e046457dd709a1106cf9e897d59c6f6c7dd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.002793Z digest=sha256:b972dbb1a8bbde35fd76b52dc7ac1eba95cdc5e6e7fdccdfa51f3be1d1eaa8ae

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.007286Z digest=sha256:28fd6a06f303d4edc1f7628fc5197425ac401f28af522dd2d18207560493e3e9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.013056Z digest=sha256:247d128bfd35e9c3019b80fb8dc76cf3f713a8ec537adc41cc3ddd1f1a9b70c1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.017794Z digest=sha256:b23f126081286235b79f3123cecd4aa31bc12d41ca45d7fc754b8e6a4711cd11

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.022422Z digest=sha256:ac0ff99ca30ef2dd270e9855725897a473f3d5acccb19dd5b5d82283687f54e6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.028268Z digest=sha256:2800fdadf5a58d76d3c20ee3a16c452abf70afc7e23be17c741a8588a8a1a077

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.034610Z digest=sha256:1f9835f15fc2595f1eb19623291c043ed38d1ee8c94e6f970a139df3acccc797

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.050662Z digest=sha256:e6fced11da32ae036f4305742d1ce7d44e9dbb232ef9ee660bb1f60ab17acab5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.056219Z digest=sha256:99d76c51e2a1455d366042ecc5adf1b2d90081b6189a97f036c5826e86304522

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.062074Z digest=sha256:aebb51fc69935bc141f0fef10ac7341e82fe0221724d38f4d104ba144c8d3ed0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.067483Z digest=sha256:051bfe8e81bae790be4b848068d5ebb3e74f784e3d8c5f2e10dc40f9e1681699

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.074281Z digest=sha256:818a94292eb140484a95b1371322b250a5a7abff42a39acedfebfaec4758cfb2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.079139Z digest=sha256:6e15388daba8bf4c7e93dd75993f2784c23849d99021c2304e68f8af4f77e997

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.084367Z digest=sha256:22c03635f674b716d8f33af070d3016a457fbbf470b45fde2acf501cb320f24b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.091821Z digest=sha256:a964f6abd5f46d61e547aa3abeeaadb5e5d4fbd57454c6bff799ab4b2ddf6f29

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=sha256:54b6179ba28d5b6eba4a2ddfcf0a1bcd5e73945f4b820837f249164f9d48d1f1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.104682Z digest=sha256:0bb45dd69ebda3996aa010d112d5060c4044c73e1e62e127aeff63a5687debd6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.110038Z digest=sha256:bd25a2493fd4cc1892da3a4c5a9b055bf0f050dada64ae339014deb601186913

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.115173Z digest=sha256:b659f7a86e0e82ba7f5565ea05e0575341e7ce2bd8c4dc4d5118478f20d1e77e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.120242Z digest=sha256:0a18eaf8017e8b84adc066b35618d60ac38ae85ee9a7a60834417e96d128135f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.125664Z digest=sha256:b1c53896e5d6e5d10c99e0570009f31308a16d0089ec3fd8164f3b49928a3ca4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.131591Z digest=sha256:c6d91714a86bd549ede807ae932e64a60006493198c039844e61a09c62f6b8f7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.137184Z digest=sha256:4fe1b068c3c51e321297b941941b4f10206fe123d4b3873fd2819961f0379b7c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.142390Z digest=sha256:c5288a8026d78e5c6f506511416098df126bbb3120b0d02de37513a5353fec54

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:fa5dfaedf002a21366e38a7dfe1bb297062b1e9ca44e900a3aebe393eeb0bf90

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.160990Z digest=sha256:b2e54d557336a5eb458c6521f84178c93a2ac13040c68a877a448f6ed5f3870a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.169474Z digest=sha256:84963a545c4a887a1f8e4faa42b041c176cc89b76672bf5fdbd1a6fc330acb5b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.184214Z digest=sha256:26b85134099a341e60bb25cc164eb847f148e1dc1044f28faa5ba73bc71954c2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:53:11.190273Z digest=sha256:65058745d73abcca56ee7468991342ccc4c69c835e8c02da86e7696cba5d3b92

Pith citing papers

No inbound Pith citation observations are available.