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

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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