Paper Citation Record · LEDGER

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition

As of 11 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2506.12325.

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

pith.paper-citation-record.v1
2506.12325 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:59:10.685957Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

32 of 32 outbound references displayed

verified exact3
verified fuzzy26
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7625fb23-2d93-426a-a409-1c5942389b47 · outbound

This paper cites A two-stage mul- timodal emotion recognition model based on graph con- trastive learning.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition A two-stage mul- timodal emotion recognition model based on graph con- trastive learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:19.394785Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fe4b08bf-7311-4b6f-aab8-3b6fca705d26 · outbound

This paper cites Sdr-gnn: Spectral domain re- construction graph neural network for incomplete mul- timodal learning in conversational emotion recognition.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Sdr-gnn: Spectral domain re- construction graph neural network for incomplete mul- timodal learning in conversational emotion recognition

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:18.626709Z

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Observation 7b549acf-e4e5-4fc5-bb3c-31e00fd7aa14 · outbound

This paper cites Mmgcn: Multimodal fusion via deep graph convolution network for emotion recognition in conversa- tion.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Mmgcn: Multimodal fusion via deep graph convolution network for emotion recognition in conversa- tion

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:18.413820Z

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Observation 25afbf00-49bd-449f-860d-d29fdcdd203e · outbound

This paper cites Gcnet: Graph completion net- work for incomplete multimodal learning in conversation.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Gcnet: Graph completion net- work for incomplete multimodal learning in conversation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:06.809780Z

Source-reported events for the cited work

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Observation a3d77095-0d04-4448-9cbe-53deabc3a091 · outbound

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

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:07.023908Z

Source-reported events for the cited work

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Observation db363413-f01f-4467-affd-5e7504957adf · outbound

This paper cites Training strategies to handle miss- ing modalities for audio-visual expression recognition.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Training strategies to handle miss- ing modalities for audio-visual expression recognition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:16.870887Z

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Observation 9e392ba9-2484-4eb4-a117-eb3007a7eb58 · outbound

This paper cites Zero-shot text-to-image generation.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Zero-shot text-to-image generation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:16.280068Z

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Observation c6a93d79-adfc-4a06-862b-f437c3e49530 · outbound

This paper cites wav2vec: Unsuper- vised pre-training for speech recognition.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition wav2vec: Unsuper- vised pre-training for speech recognition

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:15.959944Z

Source-reported events for the cited work

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Observation 395e46f8-78d8-4f03-9d7e-f53c0e70a184 · outbound

This paper cites Conversational emotion recog- nition studies based on graph convolutional neural net- works and a dependent syntactic analysis.Neurocomput- ing, 501:629–639,.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Conversational emotion recog- nition studies based on graph convolutional neural net- works and a dependent syntactic analysis.Neurocomput- ing, 501:629–639,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:15.597298Z

Source-reported events for the cited work

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Observation 439a9f42-eb15-4b65-bfc5-2ba4308a3233 · outbound

This paper cites A comprehensive survey on multi- modal conversational emotion recognition with deep learning.arXiv preprint arXiv:2312.05735,.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition A comprehensive survey on multi- modal conversational emotion recognition with deep learning.arXiv preprint arXiv:2312.05735,

Reference 19

Resolution: verified exact; raw_fallback, observed 2026-08-07T00:59:11.948672Z

Source-reported events for the cited work

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Observation 3b4e6bd2-d781-41f6-b62a-2bca32939793 · outbound

This paper cites Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:08.508403Z

Source-reported events for the cited work

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Observation abe89415-01fc-4633-adf7-1960df1cffd8 · outbound

This paper cites SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:59:11.408567Z

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Observation 19557f6b-32c0-4eb9-a486-0217156c7013 · outbound

This paper cites Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:59:11.053482Z

Source-reported events for the cited work

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Observation 53ed3b1d-41c2-4c8d-b764-8a3da4c6bb70 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.Advances in Neural Information Processing Systems, 32,.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Generative modeling by estimating gradients of the data distribution.Advances in Neural Information Processing Systems, 32,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:15.259440Z

Source-reported events for the cited work

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Observation 6ca6e10b-9b3e-49c2-b905-e50bec004942 · outbound

This paper cites Improved techniques for training score-based generative models.Advances in Neural Information Processing Sys- tems, 33:12438–12448,.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Improved techniques for training score-based generative models.Advances in Neural Information Processing Sys- tems, 33:12438–12448,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:14.911148Z

Source-reported events for the cited work

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Observation 30e021ef-8ec7-4a52-a08a-79a75d01a1e2 · outbound

This paper cites Score-based generative modeling through stochas- tic differential equations.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Score-based generative modeling through stochas- tic differential equations

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:14.612839Z

Source-reported events for the cited work

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Observation cc07695b-1820-46ce-a013-f6b913dc8fcb · outbound

This paper cites Multimodal transformer for un- aligned multimodal language sequences.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Multimodal transformer for un- aligned multimodal language sequences

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:14.260908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 77696ac4-e062-43ed-b590-264625d16bcc · outbound

This paper cites Incomplete multimodality-diffused emotion recognition.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Incomplete multimodality-diffused emotion recognition

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:13.885430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5e066942-ff7f-4832-a7d1-a609dbcfb7c6 · outbound

This paper cites Multimodal sentiment in- tensity analysis in videos: Facial gestures and verbal mes- sages.IEEE Intelligent Systems, 31(6):82–88,.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Multimodal sentiment in- tensity analysis in videos: Facial gestures and verbal mes- sages.IEEE Intelligent Systems, 31(6):82–88,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:13.509204Z

Source-reported events for the cited work

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Observation 74de5064-7a07-4e64-8746-36cc6c62129d · outbound

This paper cites Deep partial multi-view learning.IEEE transactions on pattern analysis and machine intelligence, 44(5):2402– 2415,.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Deep partial multi-view learning.IEEE transactions on pattern analysis and machine intelligence, 44(5):2402– 2415,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:12.895533Z

Source-reported events for the cited work

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Observation a2249009-35c1-42cc-8193-d3a39d3fc2e1 · outbound

This paper cites Learning unseen modality interaction.Ad- vances in Neural Information Processing Systems, 36,.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Learning unseen modality interaction.Ad- vances in Neural Information Processing Systems, 36,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:12.489525Z

Source-reported events for the cited work

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Observation d477f43b-d730-4c66-9ef6-8d05b5a9589a · outbound

This paper cites Missing modality imagination network for emotion recog- nition with uncertain missing modalities.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Missing modality imagination network for emotion recog- nition with uncertain missing modalities

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:12.211876Z

Source-reported events for the cited work

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Observation 78b2e072-eb1f-4559-86bc-af35f1c96e40 · outbound

This paper cites Multimodal language analysis in the wild: Cmu- mosei dataset and interpretable dynamic fusion graph.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Multimodal language analysis in the wild: Cmu- mosei dataset and interpretable dynamic fusion graph

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:13.210098Z

Source-reported events for the cited work

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Observation a038929f-30a2-4fe3-bc99-205b1b9cb65d · outbound

This paper cites Score-based generative modeling of graphs via the system of stochastic differential equations.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Score-based generative modeling of graphs via the system of stochastic differential equations

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:18.064474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d4192546-7507-4c9f-bcde-4338d1942eeb · outbound

This paper cites De- coupled multimodal distilling for emotion recognition.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition De- coupled multimodal distilling for emotion recognition

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:17.440634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ea38da6a-0a22-48bd-ac56-9dfd841f3d2f · outbound

This paper cites Fast graph generation via spectral diffusion.IEEE Transactions on Pattern Analysis and Machine Intelligence,.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Fast graph generation via spectral diffusion.IEEE Transactions on Pattern Analysis and Machine Intelligence,

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:17.165671Z

Source-reported events for the cited work

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Observation 92b110dc-a9b3-4617-8f9d-56d177dfee3c · outbound

This paper cites Found in translation: Learning robust joint representations by cyclic translations between modalities.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Found in translation: Learning robust joint representations by cyclic translations between modalities

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:16.591200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2ed10b7b-deb7-4e37-9522-53e850093cf4 · outbound

This paper cites Densely con- nected convolutional networks.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Densely con- nected convolutional networks

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:18.218536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a2845984-27fd-409e-aba3-43ced2c9f592 · outbound

This paper cites Glow: Generative flow with invertible 1x1 con- volutions.Advances in Neural Information Processing Systems, 31,.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Glow: Generative flow with invertible 1x1 con- volutions.Advances in Neural Information Processing Systems, 31,

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:17.752617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c8bfaf3e-8979-4473-bdf7-05042296a11f · outbound

This paper cites Der-gcn: Dialog and event relation-aware graph con- volutional neural network for multimodal dialog emotion recognition.IEEE Transactions on Neural Networks and Learning Systems,.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Der-gcn: Dialog and event relation-aware graph con- volutional neural network for multimodal dialog emotion recognition.IEEE Transactions on Neural Networks and Learning Systems,

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:19.179841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 21727656-5690-405d-a42d-114813d931c1 · outbound

This paper cites Revisiting multi- modal emotion recognition in conversation from the per- spective of graph spectrum.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Revisiting multi- modal emotion recognition in conversation from the per- spective of graph spectrum

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:19.017851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 12e4983f-5607-4933-9502-54c64026cf48 · outbound

This paper cites Lggnet: Learn- ing from local-global-graph representations for brain– computer interface.IEEE Transactions on Neural Net- works and Learning Systems,.

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition Lggnet: Learn- ing from local-global-graph representations for brain– computer interface.IEEE Transactions on Neural Net- works and Learning Systems,

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:18.793760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

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