Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:03:27.052890Z
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2508.07625.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:03:27.052890Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
52 of 52 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ec7bf88d-5fd5-4187-b5c4-eac41c1f2863 · outbound
A Trustworthy Method for Multimodal Emotion Recognition EEG emotion recognition using dynamical graph convolutional neural networks,
Reference 1
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Observation c08c4cff-c4f5-4fa2-b2fd-3a23b2187b4b · outbound
A Trustworthy Method for Multimodal Emotion Recognition A comparison of the affectiva imotions facial expression analysis software with EMG for identifying facial expressions of emotion,
Reference 2
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Observation 123e93b3-bf24-4cd3-b0c9-22d104c8c064 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Utilizing deep learning towards multi- 14Big Data Mining and Analytics,xxxxxxx20xx, x(x): xxx-xxx modal bio-sensing and vision-based affective computing,
Reference 3
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A Trustworthy Method for Multimodal Emotion Recognition Emotion recognition using facial expressions,
Reference 4
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A Trustworthy Method for Multimodal Emotion Recognition Ease: Robust facial expression recognition via emotion ambiguity-sensitive cooperative networks,
Reference 5
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Observation 5b15495b-ce2a-4f11-9fa2-5908cac1ddec · outbound
A Trustworthy Method for Multimodal Emotion Recognition Deep facial expression recognition: A survey,
Reference 6
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Observation cf49c8cf-ad9b-438a-86ea-711f571c0364 · outbound
A Trustworthy Method for Multimodal Emotion Recognition D 2S: Dynamic distribution supervision for multi-label facial expression recognition,
Reference 7
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Observation e72f2d5d-1c15-4c93-8d1b-f8f0f1f9e1af · outbound
A Trustworthy Method for Multimodal Emotion Recognition Survey on emotional body gesture recognition,
Reference 8
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Observation a428c25f-a939-49b2-bc73-6e06dbd5a332 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Self supervised adversarial domain adaptation for cross-corpus and cross- language speech emotion recognition,
Reference 9
Source-reported events for the cited work
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Observation 6d6daf2a-b206-4e9c-8309-4e77a083225c · outbound
A Trustworthy Method for Multimodal Emotion Recognition M2fnet: Multi-modal fusion network for emotion recognition in conversation,
Reference 10
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Observation ef6d21c1-ca4b-4a85-a5a7-244f03f95b96 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Facial expression recognition with visual transformers and attentional selective fusion,
Reference 11
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Observation 5c143a11-ea61-4dea-ad18-c5e80e488898 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Trusted multi-view classification with dynamic evidential fusion,
Reference 12
Source-reported events for the cited work
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Observation c4b0dcbf-da5d-4b47-a31b-f7d581021cda · outbound
A Trustworthy Method for Multimodal Emotion Recognition Facial expression recognition with identity and emotion joint learning,
Reference 13
Source-reported events for the cited work
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Observation 6e3092c8-9af1-4c87-9211-ee5d9017fc9f · outbound
A Trustworthy Method for Multimodal Emotion Recognition Eeg- based emotion recognition for multi channel fast empirical mode decomposition using vgg-16,
Reference 14
Source-reported events for the cited work
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Observation 748b8d64-acae-4352-a437-83a16c3b7666 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Quo vadis, action recognition? a new model and the kinetics dataset,
Reference 15
Source-reported events for the cited work
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Observation 9141f9af-2443-4dda-bc17-b7e3595149ea · outbound
A Trustworthy Method for Multimodal Emotion Recognition Audio-visual emotion recognition in video clips,
Reference 16
Source-reported events for the cited work
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Observation 33ee44cc-d740-4e56-b0ae-bdd382b71449 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Attention driven fusion for multi-modal emotion recognition,
Reference 17
Source-reported events for the cited work
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Observation b4f1cc51-093b-45c9-954f-a3f7bf8be453 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Facial Emotion Recognition: State of the Art Performance on FER2013
Reference 18
Source-reported events for the cited work
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Observation 601c414d-3789-4583-8800-636341bc1f55 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Swin transformer: Hierarchical vision transformer using shifted windows,
Reference 19
Source-reported events for the cited work
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Observation 6d581139-0269-4350-b258-1e7069a559a8 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Two- level attention with two-stage multi-task learning for facial emotion recognition,
Reference 20
Source-reported events for the cited work
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Observation 96a6fce7-561c-4d76-a4b1-6c4157587477 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Context-aware emotion recognition networks,
Reference 21
Source-reported events for the cited work
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Observation 74351c38-61ba-44ec-ad04-60b4e468aa58 · outbound
A Trustworthy Method for Multimodal Emotion Recognition An attention model for group-level emotion recognition,
Reference 22
Source-reported events for the cited work
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Observation 6e93bfcc-6bf4-4b42-a367-b01cde614be0 · outbound
A Trustworthy Method for Multimodal Emotion Recognition On calibration of modern neural networks,
Reference 23
Source-reported events for the cited work
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Observation 64f79ebd-30d2-499c-9adc-314b0dd37828 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Calibrating deep neural networks using focal loss,
Reference 24
Source-reported events for the cited work
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Observation eed1825d-0cf1-4e48-8992-0a388a87fa0b · outbound
A Trustworthy Method for Multimodal Emotion Recognition Don’t just blame over- parametrization for over-confidence: Theoretical analysis of calibration in binary classification,
Reference 25
Source-reported events for the cited work
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Observation 5f441efb-5512-4435-9d8e-8fc9b59424d6 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Be confident! towards trustworthy graph neural networks via confidence calibration,
Reference 26
Source-reported events for the cited work
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Observation a07459d4-8d63-4423-a994-d5f33422ff7f · outbound
A Trustworthy Method for Multimodal Emotion Recognition Masked autoencoders are scalable vision learners,
Reference 27
Source-reported events for the cited work
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Observation cbb07041-cf80-4396-905b-92824afe7354 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Mage: Masked generative encoder to unify representation learning and image synthesis,
Reference 28
Source-reported events for the cited work
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Observation 6bda7b6f-c829-485e-9fd5-bcad7a2c05c6 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Video swin transformer,
Reference 29
Source-reported events for the cited work
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Observation f135dd7f-edc7-44bc-93b5-867186452e4f · outbound
A Trustworthy Method for Multimodal Emotion Recognition CNN architectures for large-scale audio classification,
Reference 30
Source-reported events for the cited work
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Observation 208a5894-7922-421f-b5e8-156487719cc9 · outbound
A Trustworthy Method for Multimodal Emotion Recognition The relationship between precision-recall and roc curves,
Reference 31
Source-reported events for the cited work
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Observation 2781783a-3794-449c-9a74-4d8dd8b78a2b · outbound
A Trustworthy Method for Multimodal Emotion Recognition IEMOCAP: Interactive emotional dyadic motion capture database,
Reference 32
Source-reported events for the cited work
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Observation ab1350f3-57ff-43cf-a19e-98b6992f31c6 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Deep learning-based late fusion of multimodal information for emotion classification of music video,
Reference 33
Source-reported events for the cited work
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Observation 980747dd-7ab4-4c74-a790-85037ef6e799 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Pytorch: An imperative style, high-performance deep learning library,
Reference 34
Source-reported events for the cited work
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Observation 265f0ca7-e241-4ae0-b705-3e4accf34a01 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Adam: A method for stochastic optimization,
Reference 35
Source-reported events for the cited work
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Observation 0223686d-90ca-4d97-895d-dc3bbe639272 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Context-dependent sentiment analysis in user-generated videos,
Reference 36
Source-reported events for the cited work
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Observation 91c4fed3-ae47-4670-88e1-aa12afa77709 · outbound
A Trustworthy Method for Multimodal Emotion Recognition DialogueGCN: A graph convolutional neural network for emotion recognition in conversation,
Reference 37
Source-reported events for the cited work
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Observation b9f2eb33-be9b-47da-bb8f-a29849694e7c · outbound
A Trustworthy Method for Multimodal Emotion Recognition Directed acyclic graph network for conversational emotion recognition,
Reference 38
Source-reported events for the cited work
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Observation aaeca31b-1f61-4598-b9cf-c8cc98da671c · outbound
A Trustworthy Method for Multimodal Emotion Recognition Multi-task learning for multi-modal emotion recognition and sentiment analysis,
Reference 39
Source-reported events for the cited work
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Observation c607ec7c-8818-421f-a4dd-171c3cc8d94a · outbound
A Trustworthy Method for Multimodal Emotion Recognition COGMEN: COntextualized GNN based multimodal emotion recognition,
Reference 40
Source-reported events for the cited work
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Observation 0a7ad3cb-0c38-4797-b53e-31a8bd89b797 · outbound
A Trustworthy Method for Multimodal Emotion Recognition MMGCN: Multimodal fusion via deep graph convolution network for emotion recognition in conversation,
Reference 41
Source-reported events for the cited work
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Observation 6c13b476-e6bf-4a0d-a4b9-cf1f14ff830d · outbound
A Trustworthy Method for Multimodal Emotion Recognition Opensmile: the munich versatile and fast open-source audio feature extractor,
Reference 42
Source-reported events for the cited work
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Observation 7b37490e-b215-472b-8851-7002ae141ee6 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Speech emotion recognition: Two decades in a nutshell, benchmarks, and ongoing trends,
Reference 43
Source-reported events for the cited work
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Observation e24274b6-66b3-400d-871e-e30aec67ced6 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Speech emotion recognition based on attention weight correction using word-level confidence measure
Reference 44
Source-reported events for the cited work
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Observation 735e80f2-44a9-4678-9437-3bc37e6de663 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Confidence measures for speech Junxiao Xue et al.:A Trustworthy Method for Multimodal Emotion Recognition ...15 emotion recognition: A start,
Reference 45
Source-reported events for the cited work
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Observation 5c29db5c-59da-4d49-b633-1f08146e9fdb · outbound
A Trustworthy Method for Multimodal Emotion Recognition Confidence measures in speech emotion recognition based on semi-supervised learning,
Reference 46
Source-reported events for the cited work
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Observation 365e7b1b-14de-4131-8d34-6b849dbf0e74 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Confidence estimation for speech emotion recognition based on the relationship between emotion categories and primitives,
Reference 47
Source-reported events for the cited work
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Observation 594d4442-89ff-4a55-ad24-7a14fcc799f1 · outbound
A Trustworthy Method for Multimodal Emotion Recognition MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations
Reference 48
Source-reported events for the cited work
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Observation 7b546936-98c0-48a3-a04b-ccdd51aff528 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Affective video content analysis: Decade review and new perspectives,
Reference 49
Source-reported events for the cited work
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Observation 60ab95da-724a-4a9d-8c9e-44137b5f19c7 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Multimodal graph learning with framelet-based stochastic configuration networks for emotion recognition in conversation,
Reference 50
Source-reported events for the cited work
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Observation cc0c03d5-238b-458f-9b12-099016932ce4 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Gm2rc: Graph-based multitask modality refinement and complement for multimodal sentiment analysis,
Reference 51
Source-reported events for the cited work
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Observation 805a62a8-973d-4ad6-b9d0-6947c2175a60 · outbound
A Trustworthy Method for Multimodal Emotion Recognition Frameerc: Framelet transform based multimodal graph neural networks for emotion recognition in conversation,
Reference 52
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
No inbound Pith citation observations are available.