Paper Citation Record · LEDGER

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition

As of 7 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2507.15914.

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

pith.paper-citation-record.v1
2507.15914 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:26:55.652667Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:50:31.665673Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:50:33.704203Z

Reference resolution

54 of 54 outbound references displayed

verified exact11
verified fuzzy34
unresolved4
parse uncertain0
malformed identifier2
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fe1bfa0b-cf94-4f6a-a064-dcf19676823a · outbound

This paper cites Time–frequency representation and convolu- tional neural network-based emotion recognition,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Time–frequency representation and convolu- tional neural network-based emotion recognition,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:01.917690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4b95ec6a-29d8-4ce2-a847-9c72a50ab073 · outbound

This paper cites Eeg-based emotion recognition using multi-scale dynamic cnn and gated transformer,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Eeg-based emotion recognition using multi-scale dynamic cnn and gated transformer,

Reference 2

Resolution: verified exact; doi, observed 2026-08-06T15:26:55.756949Z

Source-reported events for the cited work

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Observation 76b6ab3a-c476-4a85-8b64-e10a9587133e · outbound

This paper cites A transformer based neural network for emotion recog- nition and visualizations of crucial eeg channels,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition A transformer based neural network for emotion recog- nition and visualizations of crucial eeg channels,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:01.799622Z

Source-reported events for the cited work

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Observation 8cc2d025-30ee-4c5e-8e73-3a4b44e643e0 · outbound

This paper cites Emotion recognition in eeg signals using deep learning methods: A review,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Emotion recognition in eeg signals using deep learning methods: A review,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:01.638323Z

Source-reported events for the cited work

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Observation 184e9c91-9770-4ae8-b988-391252211d2f · outbound

This paper cites Multi-periodicity dependency transformer based on spectrum offset for radio frequency fingerprint identification,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Multi-periodicity dependency transformer based on spectrum offset for radio frequency fingerprint identification,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:01.493407Z

Source-reported events for the cited work

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Observation c8862016-4b49-49d3-ba1c-4aac93254714 · outbound

This paper cites Transformers in eeg analysis: A review of architectures and applications in motor imagery, seizure, and emotion classification,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Transformers in eeg analysis: A review of architectures and applications in motor imagery, seizure, and emotion classification,

Reference 6

Resolution: verified exact; doi, observed 2026-08-06T15:26:55.742521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4ce68ff0-0297-4578-be9f-213a42d50cce · outbound

This paper cites Emotion classification based on transformer and cnn for eeg spatial–temporal feature learning,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Emotion classification based on transformer and cnn for eeg spatial–temporal feature learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:01.390243Z

Source-reported events for the cited work

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Observation a85654dd-74d0-420d-ad48-b976ba73f7a3 · outbound

This paper cites Review on emotion recognition based on electroencephalography,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Review on emotion recognition based on electroencephalography,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:01.232680Z

Source-reported events for the cited work

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Observation 2aa49622-717d-4a6e-903c-28677c316935 · outbound

This paper cites Multi-Source EEG Emotion Recognition via Dynamic Contrastive Domain Adaptation.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Multi-Source EEG Emotion Recognition via Dynamic Contrastive Domain Adaptation

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:26:56.558290Z

Source-reported events for the cited work

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Observation 6e772c06-3bf1-4de6-aaa9-75b4e21d8ab9 · outbound

This paper cites A comparative study of wavelet families for schizophrenia detection,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition A comparative study of wavelet families for schizophrenia detection,

Reference 11

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T15:26:56.515630Z

Source-reported events for the cited work

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Observation ba621d6c-5fd6-4042-9543-26ca20d30d47 · outbound

This paper cites Integration of stationary wavelet transform on a dynamic partial reconfiguration for recognition of pre-ictal gamma oscillations,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Integration of stationary wavelet transform on a dynamic partial reconfiguration for recognition of pre-ictal gamma oscillations,

Reference 12

Resolution: verified exact; doi, observed 2026-08-06T15:26:55.712119Z

Source-reported events for the cited work

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Observation d36d0f82-8df7-4c64-b7eb-67a96b2e764c · outbound

This paper cites Eeg emotion recognition using dynamical graph convolutional neural networks,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Eeg emotion recognition using dynamical graph convolutional neural networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:01.063046Z

Source-reported events for the cited work

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Observation 9018133f-177e-4664-961a-41a75fbd7bff · outbound

This paper cites Analysis of eeg signals and facial expressions for continuous emotion detection,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Analysis of eeg signals and facial expressions for continuous emotion detection,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:00.895949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4e849d66-a8cd-4a0b-bcc6-0db3ca605f06 · outbound

This paper cites Bridge graph attention based graph convolution network with multi-scale transformer for eeg emotion recognition,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Bridge graph attention based graph convolution network with multi-scale transformer for eeg emotion recognition,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:00.771386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e0fedd4c-717c-4059-8ce1-40f698dcc102 · outbound

This paper cites MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:26:56.378702Z

Source-reported events for the cited work

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Observation d4ab8710-5764-48aa-b498-e8b7498b744f · outbound

This paper cites Hierarchi- cal spatiotemporal electroencephalogram feature learning and emotion recognition with attention-based antagonism neural network,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Hierarchi- cal spatiotemporal electroencephalogram feature learning and emotion recognition with attention-based antagonism neural network,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:00.599099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8b06fa98-24c2-46b6-af4d-b6e87096ca36 · outbound

This paper cites Hierarchical dynamic graph convolutional network with interpretability for eeg-based emotion recog- nition,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Hierarchical dynamic graph convolutional network with interpretability for eeg-based emotion recog- nition,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:00.440377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 46103cc2-ed20-44de-8714-3fadcf747771 · outbound

This paper cites Lggnet: Learning from local-global-graph representations for brain–computer in- terface,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Lggnet: Learning from local-global-graph representations for brain–computer in- terface,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:00.284582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 89b2ddf1-4cea-43a6-ac22-7aabe0ec4c1a · outbound

This paper cites Adaptive hierarchical graph convolutional network for eeg emotion recognition,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Adaptive hierarchical graph convolutional network for eeg emotion recognition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:00.149260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 34a33903-cea1-48d4-bae6-a9f5c28b8c27 · outbound

This paper cites A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion Recognition.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion Recognition

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:26:56.355802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3d7f1e5b-97ba-4d8b-988e-93b2c41b48e2 · outbound

This paper cites Development and validation of an eeg-based real-time emotion recog- nition system using edge ai computing platform with convolutional neural network system-on-chip design,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Development and validation of an eeg-based real-time emotion recog- nition system using edge ai computing platform with convolutional neural network system-on-chip design,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:26:59.990538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7e06ac08-7406-4778-a09c-1a6d4c240d22 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:54.802817Z

Source-reported events for the cited work

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Observation 3cd06bda-2bab-477d-b62c-51122946e01c · outbound

This paper cites miMamba: EEG-based Emotion Recognition with Multi-scale Inverted Mamba Models.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition miMamba: EEG-based Emotion Recognition with Multi-scale Inverted Mamba Models

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:26:56.315021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cbe8fb8e-4d32-4a64-95d8-79e5dadb4362 · outbound

This paper cites Global context mambav- ision for eeg-based emotion recognition,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Global context mambav- ision for eeg-based emotion recognition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:26:59.858609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d429e3ec-8a11-425b-bcdb-5117d7b9e677 · outbound

This paper cites Investigating critical frequency bands and channels for eeg-based emotion recognition with deep neural networks,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Investigating critical frequency bands and channels for eeg-based emotion recognition with deep neural networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:26:59.673945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation adae0e30-dfaa-41f6-94f8-80d124e71058 · outbound

This paper cites Similar brains blend emotion in similar ways: Neural representations of individual difference in emotion profiles,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Similar brains blend emotion in similar ways: Neural representations of individual difference in emotion profiles,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:26:59.544837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c6a53277-fa55-4080-a626-1e9748b3d5eb · outbound

This paper cites A large finer-grained affective computing eeg dataset,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition A large finer-grained affective computing eeg dataset,

Reference 28

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T15:26:59.343261Z

Source-reported events for the cited work

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Observation 54165ad1-622c-484a-86dc-981edcbc2d93 · outbound

This paper cites Eeg emotion recognition using dynamical graph convolutional neural networks,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Eeg emotion recognition using dynamical graph convolutional neural networks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:26:59.186392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c963c1d4-544a-463d-8c63-0d380701c267 · outbound

This paper cites Chebynet: Boosting neural network fitting and efficiency through chebyshev polynomial layer connections,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Chebynet: Boosting neural network fitting and efficiency through chebyshev polynomial layer connections,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:26:59.032143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 37b5c8e5-c11b-465a-936a-49048947502f · outbound

This paper cites Eeg-based emotion recognition using regularized graph neural networks,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Eeg-based emotion recognition using regularized graph neural networks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:26:58.747487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bfbdc383-5474-4166-808c-b018fcd9919a · outbound

This paper cites A bi- hemisphere domain adversarial neural network model for eeg emotion recognition,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition A bi- hemisphere domain adversarial neural network model for eeg emotion recognition,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:26:58.525043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 21b2c1ef-1874-4b88-80db-9f8deeedf21e · outbound

This paper cites A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:26:56.611867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c777db87-b091-425f-b935-828fb0361977 · outbound

This paper cites Gcb-net: Graph convolu- tional broad network and its application in emotion recognition,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Gcb-net: Graph convolu- tional broad network and its application in emotion recognition,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:26:58.259252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 369605ed-9236-47f3-9aea-8b44a5153b53 · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:55.561957Z

Source-reported events for the cited work

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Observation 6f6311b0-d768-47f6-b7af-f05dc0bb32ae · outbound

This paper cites Linking attention-based multiscale cnn with dynamical gcn for driving fatigue detection,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Linking attention-based multiscale cnn with dynamical gcn for driving fatigue detection,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:26:58.060470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d4d5efbe-c686-4464-8baf-bccc8270dfbf · outbound

This paper cites Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:55.571356Z

Source-reported events for the cited work

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Observation 224025ad-ba2d-4c90-b538-78fbfc149c72 · outbound

This paper cites Visual-to-eeg cross-modal knowledge distillation for continuous emotion recognition,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Visual-to-eeg cross-modal knowledge distillation for continuous emotion recognition,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:26:57.898661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d0ca8dfd-f17f-4b1c-a6d4-1733ffba9059 · outbound

This paper cites A deep multi-source adaptation transfer network for cross-subject electroencephalogram emo- tion recognition,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition A deep multi-source adaptation transfer network for cross-subject electroencephalogram emo- tion recognition,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:26:57.736839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b83d64f6-88d4-4204-bf3e-68f75c60b9c6 · outbound

This paper cites Panchromatic ikonos image classification using wavelet based features,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Panchromatic ikonos image classification using wavelet based features,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:26:57.593985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 08678187-729b-44c3-a996-3a54d4921ad8 · outbound

This paper cites Eeg conformer: Convolutional transformer for eeg decoding and visualization,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Eeg conformer: Convolutional transformer for eeg decoding and visualization,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:55.589724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c6b4e45-f7a7-4eb8-b264-4d4dc1dace65 · outbound

This paper cites Astdf-net: attention- based spatial-temporal dual-stream fusion network for eeg-based emo- tion recognition,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Astdf-net: attention- based spatial-temporal dual-stream fusion network for eeg-based emo- tion recognition,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:26:57.428512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3da6bceb-ef2f-4c47-9db7-7adddf1c2f30 · outbound

This paper cites Eeg-based emotion recognition using spatial-temporal graph convolutional lstm with attention mechanism,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Eeg-based emotion recognition using spatial-temporal graph convolutional lstm with attention mechanism,

Reference 43

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T15:26:56.148911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c0d5945d-de6f-4e9e-ba96-6b48f7e7c532 · outbound

This paper cites A multimodal database for affect recognition and implicit tagging,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition A multimodal database for affect recognition and implicit tagging,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:26:57.299454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f57d696e-a988-4bb0-9ecc-021de6f6b3fb · outbound

This paper cites PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:26:56.062659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e148dd3b-fe49-4f24-b3a9-7f46ab7f0682 · outbound

This paper cites Tsception: Capturing temporal dynamics and spatial asymmetry from eeg for emo- tion recognition,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Tsception: Capturing temporal dynamics and spatial asymmetry from eeg for emo- tion recognition,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:26:57.157344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5de25cdc-3c99-461a-944f-f44a285f395c · outbound

This paper cites Analysis of eeg signals and facial expressions for continuous emotion detection,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Analysis of eeg signals and facial expressions for continuous emotion detection,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:26:57.026543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4490f9df-c922-4592-9ca3-54ac8ece4750 · outbound

This paper cites Visual-to-eeg cross-modal knowledge distillation for continuous emotion recognition,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Visual-to-eeg cross-modal knowledge distillation for continuous emotion recognition,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:26:56.867356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 78b0e043-1a97-45e1-9b95-91a6454e3d42 · outbound

This paper cites A deep multi-source adaptation transfer network for cross-subject electroencephalogram emo- tion recognition,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition A deep multi-source adaptation transfer network for cross-subject electroencephalogram emo- tion recognition,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:26:56.745907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 670bc3f0-0f43-42f1-accc-1a9d3a22190f · outbound

This paper cites Emt: A novel transformer for generalized cross-subject eeg emotion recognition,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Emt: A novel transformer for generalized cross-subject eeg emotion recognition,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:26:56.708864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 52eb0dd3-6ed5-421a-8299-11fe255dd788 · outbound

This paper cites Emotions recognition using eeg signals: A survey,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Emotions recognition using eeg signals: A survey,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:26:56.665610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 83d0e0b8-d510-444b-87e6-5551b2aa3845 · outbound

This paper cites Variational instance-adaptive graph for eeg emotion recognition,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Variational instance-adaptive graph for eeg emotion recognition,

Reference 52

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T15:26:56.039308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 23a6935b-00fc-49cb-851e-933c79c54587 · outbound

This paper cites Frontal eeg-based multi-level attention states recognition using dynamic complexity and extreme gradient boosting,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Frontal eeg-based multi-level attention states recognition using dynamic complexity and extreme gradient boosting,

Reference 53

Resolution: malformed identifier; no resolver link, observed 2026-08-06T15:26:55.648516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bc0bbcb-ba81-4bc0-a7bf-fc9f9d73c90b · outbound

This paper cites Electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers,.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers,

Reference 54

Resolution: verified exact; doi, observed 2026-08-06T15:26:55.695733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8bbcc653-44d1-49c7-b343-e6baf19d3c59 · outbound

This paper cites Available: https://doi.org/10.3390/brainsci14030268.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Available: https://doi.org/10.3390/brainsci14030268

Reference 2024

Resolution: verified exact; doi, observed 2026-08-06T15:26:55.727552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation e2866439-c2bb-422f-b3b2-578792259285 · inbound

Hypergraph Mamba for Efficient Whole Slide Image Understanding cites this paper.

Hypergraph Mamba for Efficient Whole Slide Image Understanding MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:50:33.756823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.