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Paper Citation Record · LEDGER

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding

As of 19 August 2026, this Paper Citation Record lists 100 of 109 outbound references and 9 inbound Pith citation observations for arXiv:2506.23075.

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

pith.paper-citation-record.v1
2506.23075 v1

Coverage vector

measured 100 of 109 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:56:13.914578Z

measured 109 of 109 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:14:48.082093Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:19:43.688524Z

Reference resolution

100 of 109 outbound references displayed

  • verified exact0
  • verified fuzzy48
  • unresolved52
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 94015141-1a41-409e-875e-0801ce6ab12f · outbound

This paper cites Motor imagery and direct brain-computer communication.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Motor imagery and direct brain-computer communication

Reference 1

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Observation 2ab31df7-7001-441c-a63f-c7ee0d5950f2 · outbound

This paper cites Decoding mental states from brain activity in humans.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Decoding mental states from brain activity in humans

Reference 2

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source=pdf_text observed=2026-08-06T21:56:04.647874Z digest=sha256:47cbe371b70df958d4d7f44d274833ec04eb509399c444db416391db9bd76935

Observation e4996d3a-85ad-4faa-bbe6-ee7d9047344c · outbound

This paper cites Beyond the brain-computer interface: Decoding brain activity as a tool to understand neuronal mechanisms subtending cognition and behavior.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Beyond the brain-computer interface: Decoding brain activity as a tool to understand neuronal mechanisms subtending cognition and behavior

Reference 3

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source=pdf_text observed=2026-08-06T21:56:04.853078Z digest=sha256:822beb2926978944b9c27a1773baf847b2b2f1d75566648e8f1fd7d87fcd0996

Observation b636f804-0fd7-48e5-9c7c-673e4c86637f · outbound

This paper cites MindAligner: Explicit Brain Functional Alignment for Cross-Subject Visual Decoding from Limited fMRI Data.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding MindAligner: Explicit Brain Functional Alignment for Cross-Subject Visual Decoding from Limited fMRI Data

Reference 4

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source=pdf_text observed=2026-08-06T21:56:04.999146Z digest=sha256:d6d5da25827fcce04cc23db89e138aabf0abbe7e98a10ec02b341e692dfb5ad4

Observation bd79fb29-e6e6-4fc6-bce7-74877a1f8fb6 · outbound

This paper cites Electroencephalography.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Electroencephalography

Reference 5

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source=pdf_text observed=2026-08-06T21:56:05.148904Z digest=sha256:238837d1e969c92813dbb7462315a0bbb0541fb68903ebb734c4f4935ebc6c31

Observation 6a327767-18b7-4c7c-8161-1e1fca4197b0 · outbound

This paper cites A brain- computer interface that evokes tactile sensations improves robotic arm control.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding A brain- computer interface that evokes tactile sensations improves robotic arm control

Reference 6

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source=pdf_text observed=2026-08-06T21:56:05.293811Z digest=sha256:1bffec9adec2273a075a581aa5767bb5ab530db5f802647abb5b8e23d11f990c

Observation b84321a6-7d1c-4313-af97-fb93e063b888 · outbound

This paper cites Combining vr with electroencephalography as a frontier of brain-computer interfaces.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Combining vr with electroencephalography as a frontier of brain-computer interfaces

Reference 7

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source=pdf_text observed=2026-08-06T21:56:05.375352Z digest=sha256:9ace30497b6dba39dc90d09752bbc1e045c4389ef48bc1d4363b1f45420b22e0

Observation ff07fa23-3d5f-4bf7-aed1-67ee8c17bd16 · outbound

This paper cites Chrononet: A deep recurrent neural network for abnormal eeg identification.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Chrononet: A deep recurrent neural network for abnormal eeg identification

Reference 8

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source=pdf_text observed=2026-08-06T21:56:05.438864Z digest=sha256:07d4e2ceeffc574ffe2d31d6f4789c5daeef3adb4a75c6cc49ae251387ce370b

Observation 4e953744-08c2-4db2-a5a0-dfc066a9832f · outbound

This paper cites Automatic signal abnormality detection using time-frequency features and machine learning: A newborn eeg seizure case study.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Automatic signal abnormality detection using time-frequency features and machine learning: A newborn eeg seizure case study

Reference 9

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source=pdf_text observed=2026-08-06T21:56:05.533396Z digest=sha256:77ee60b827b7985aded143eac29ba28485966b5ce3931192b795b22e953cb784

Observation 11d15be8-a804-4e67-823f-5463507039dc · outbound

This paper cites Deep learning for motor imagery eeg-based classification: A review.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Deep learning for motor imagery eeg-based classification: A review

Reference 10

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source=pdf_text observed=2026-08-06T21:56:05.620257Z digest=sha256:e5212784bd0d7e53485fb33554f9b2e6f4b5eaf6de3386d791bf6fbe21600b6d

Observation a6dbb4ce-8b98-453e-84c6-2234e49e93c9 · outbound

This paper cites A spatial filter temporal graph convolutional network for decoding motor imagery eeg signals.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding A spatial filter temporal graph convolutional network for decoding motor imagery eeg signals

Reference 11

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source=pdf_text observed=2026-08-06T21:56:05.683627Z digest=sha256:6657a5650ff7e6f7c5a6eb1cd12909be7e1a57b5403c08c049c26bfcf1a3e2e9

Observation eac5bb58-d543-4966-b6da-0126ef42642c · outbound

This paper cites Eeg-based emotion recognition: a state- of-the-art review of current trends and opportunities.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Eeg-based emotion recognition: a state- of-the-art review of current trends and opportunities

Reference 12

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source=pdf_text observed=2026-08-06T21:56:05.770209Z digest=sha256:6f705110914096239a94002657f1e90416dda5b70965b5c6f539dd286e7526a8

Observation bc73e590-169e-470b-adab-0d2c3f77e039 · outbound

This paper cites Contrastive learning of eeg representation of brain area for emotion recognition.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Contrastive learning of eeg representation of brain area for emotion recognition

Reference 13

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source=pdf_text observed=2026-08-06T21:56:05.906968Z digest=sha256:0038f4c354d6fd6135983159b9be928ea69c2f2accb9332a2b2dd67a6756be1b

Observation 9d26eaa8-67f2-4b8f-8b0d-cbea8592f323 · outbound

This paper cites Self-supervised eeg representation learning for automatic sleep staging.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Self-supervised eeg representation learning for automatic sleep staging

Reference 14

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source=pdf_text observed=2026-08-06T21:56:06.008585Z digest=sha256:b5c6907a4d9264d804db3ebad8e5c577a2bacc373caa0ec811797fe32a123c12

Observation af2376e5-8d7a-4b99-a2ec-103cc1de3ab0 · outbound

This paper cites Generalizable sleep staging via multi-level domain alignment.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Generalizable sleep staging via multi-level domain alignment

Reference 15

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source=pdf_text observed=2026-08-06T21:56:06.094573Z digest=sha256:0df03cec0c4206620aebd568b844478de38fe7562862d0c8d3a0c561733c3b84

Observation 8129bd07-6991-4ed1-8853-e335a3fcaab1 · outbound

This paper cites A hybrid deep learning approach for epileptic seizure detection in eeg signals.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding A hybrid deep learning approach for epileptic seizure detection in eeg signals

Reference 16

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source=pdf_text observed=2026-08-06T21:56:06.189922Z digest=sha256:52e67d783fb1b65b0c0c21f5262489206e87f01d938bf62f4adc01781aa396d6

Observation 82a3baea-6b64-43c0-9212-166cabbea155 · outbound

This paper cites Eeg datasets for seizure detection and prediction—a review.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Eeg datasets for seizure detection and prediction—a review

Reference 17

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source=pdf_text observed=2026-08-06T21:56:06.235093Z digest=sha256:040842a679ac3db49acafa1c50a3a3e36b8ef7a633baeff1d4226fdad3f97c51

Observation 00f5814b-2447-4627-96d4-1e38105371a7 · outbound

This paper cites Automatic and efficient framework for identifying multiple neurological disorders from eeg signals.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Automatic and efficient framework for identifying multiple neurological disorders from eeg signals

Reference 18

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source=pdf_text observed=2026-08-06T21:56:06.256862Z digest=sha256:b9ca82093210ee06e0aebee21ea182d4030f907c55932326abe2894b475b9ae6

Observation 9763f666-c847-42a5-8400-0b2ea50d3d01 · outbound

This paper cites A review of graph theory-based diagnosis of neurological disorders based on eeg and mri.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding A review of graph theory-based diagnosis of neurological disorders based on eeg and mri

Reference 19

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source=pdf_text observed=2026-08-06T21:56:06.343886Z digest=sha256:4d20ed9be8b07929da9359c1d2ce0a1f6acbcb053360ec0819b517ef16d598c5

Observation c5259dd1-3289-4a7a-8e17-c9f59a4825e2 · outbound

This paper cites Medformer: A multi-granularity patching transformer for medical time-series classification.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Medformer: A multi-granularity patching transformer for medical time-series classification

Reference 20

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source=pdf_text observed=2026-08-06T21:56:06.406494Z digest=sha256:e828cf7cffc31c64424db882c68cc447640665d815f16ec37bb275668fe92354

Observation 2ef2d20a-a5ce-4523-ae41-d90953fbd231 · outbound

This paper cites Eegnet: a compact convolutional neural network for eeg-based brain–computer interfaces.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Eegnet: a compact convolutional neural network for eeg-based brain–computer interfaces

Reference 21

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source=pdf_text observed=2026-08-06T21:56:06.444982Z digest=sha256:5fcc5e62248abe5bad8950a09a7e03fb1b8786996a37ba58f4a3f1e245f76012

Observation 39ac67cf-d2e7-4389-b4d3-76c2917acf47 · outbound

This paper cites Development of expert-level classification of seizures and rhythmic and periodic patterns during eeg interpretation.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Development of expert-level classification of seizures and rhythmic and periodic patterns during eeg interpretation

Reference 22

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source=pdf_text observed=2026-08-06T21:56:06.482426Z digest=sha256:c3126bab32013324721b2bc70635c24ff0ed5de58b4eb053d7e5a7f1991735e5

Observation 1efc82c0-c20f-4e9d-a1a7-195503699d84 · outbound

This paper cites Self-supervised electroencephalogram representation learning for automatic sleep staging: Model development and evaluation study.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Self-supervised electroencephalogram representation learning for automatic sleep staging: Model development and evaluation study

Reference 23

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source=pdf_text observed=2026-08-06T21:56:06.519879Z digest=sha256:34edf124d6fb95751ce3d690469df54cf1a69d9b37e209d7cdb0bc32d2270712

Observation 8d70899e-45b5-4592-afb0-1d2f2a45df2d · outbound

This paper cites Motor imagery eeg classification algorithm based on cnn-lstm feature fusion network.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Motor imagery eeg classification algorithm based on cnn-lstm feature fusion network

Reference 24

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source=pdf_text observed=2026-08-06T21:56:06.556947Z digest=sha256:5c67914235f888d6d09442b098ca0a2c724d3a698ea6a62d4291f663c1d76428

Observation 7bf988f3-3b13-45ff-b151-f9b24191d0a3 · outbound

This paper cites Emotion recognition based on eeg using lstm recurrent neural network.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Emotion recognition based on eeg using lstm recurrent neural network

Reference 25

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source=pdf_text observed=2026-08-06T21:56:06.594988Z digest=sha256:b4a72c8dbcfeae635cb43f5a5d3467200537a09be922d161d47ec863eb8b4b85

Observation 330a60f0-7f22-408c-9fae-247d238914d9 · outbound

This paper cites An efficient lstm network for emotion recognition from multichannel eeg signals.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding An efficient lstm network for emotion recognition from multichannel eeg signals

Reference 26

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Observation 47712042-883f-4b92-a5e4-64f19582a51c · outbound

This paper cites Graph neural network-based eeg classification: A survey.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Graph neural network-based eeg classification: A survey

Reference 27

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source=pdf_text observed=2026-08-06T21:56:06.704511Z digest=sha256:13f95b1ba0bb5c45f5019cfbc666d5e279e0a50674929e66bd672e05e932db92

Observation eb2be6fa-27f1-48e8-8f59-c35d5df5cf63 · outbound

This paper cites Eeg-gnn: Graph neural networks for classification of electroencephalogram (eeg) signals.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Eeg-gnn: Graph neural networks for classification of electroencephalogram (eeg) signals

Reference 28

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source=pdf_text observed=2026-08-06T21:56:06.779600Z digest=sha256:67053f37a61815c21827f9cd58259071b18af934bf65c54fea823838021fe574

Observation 506d2d64-f65c-4877-925c-4cc6869938a0 · outbound

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

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Eeg-based emotion recognition using regularized graph neural networks

Reference 29

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source=pdf_text observed=2026-08-06T21:56:06.842692Z digest=sha256:5673d1b69c712ebd7dbef324842fbcb0d717a63c827ed192d91b8063f6056656

Observation ca1a5bfd-58aa-4142-8ba3-72330807dbab · outbound

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

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Eeg conformer: Convolutional transformer for eeg decoding and visualization

Reference 30

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source=pdf_text observed=2026-08-06T21:56:06.898969Z digest=sha256:0719805aa07e31a9c6e979aa81f3392a027eb2d2d2a2a3329ea87b64783c270e

Observation 17cd44db-387e-4371-b5b8-00716c55bd5c · outbound

This paper cites Transformer-based Spatial-Temporal Feature Learning for EEG Decoding.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 31

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source=pdf_text observed=2026-08-06T21:56:06.947896Z digest=sha256:b388d515107b0d3e785aa2baf75a82fe01a1e74368f7428610cab61f0c7a6284

Observation eb3192a0-c08e-48af-9600-eb68142505a9 · outbound

This paper cites Transformer convolutional neural networks for automated artifact detection in scalp eeg.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Transformer convolutional neural networks for automated artifact detection in scalp eeg

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a9a7d88b-ccde-4978-a8ad-a2e5556adae6 · outbound

This paper cites Toward reliable signals decoding for electroencephalogram: A benchmark study to eegnex.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Toward reliable signals decoding for electroencephalogram: A benchmark study to eegnex

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:07.026648Z digest=sha256:a4c9a3a00c069545b674db893583e20af3e673d0620f802b144e5327eb3e78c6

Observation f50ad9dd-3406-4472-97e2-fbf25cc38139 · outbound

This paper cites Biot: Biosignal transformer for cross-data learning in the wild.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Biot: Biosignal transformer for cross-data learning in the wild

Reference 34

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:07.071205Z digest=sha256:c78fc963d4aaab5ae34a714c65bbca03c26b357cc9da74045c6511e88125bff6

Observation d77d9f69-7532-42cc-831e-a7fd15097c9b · outbound

This paper cites Large brain model for learning generic representations with tremendous eeg data in bci.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Large brain model for learning generic representations with tremendous eeg data in bci

Reference 35

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:07.107708Z digest=sha256:b16723e7e0d6255195686bfac83b17382fccc5bc1bc6d51e7d18cd45115c1d4f

Observation 3d474196-b74e-4781-96d7-9976fd22fb0d · outbound

This paper cites Eegpt: Pretrained transformer for universal and reliable representation of eeg signals.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Eegpt: Pretrained transformer for universal and reliable representation of eeg signals

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:07.144600Z digest=sha256:22f6ef81f16ef5cbaa6f0ebdd4ada305abd8934af4fc30908b7f7e583ea9e3d4

Observation 49c7e869-f990-4005-81c4-b1be3920d1e4 · outbound

This paper cites Neuro-gpt: Towards a foundation model for eeg.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Neuro-gpt: Towards a foundation model for eeg

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-06T21:56:23.877101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:07.203435Z digest=sha256:3ebe3e91393037f5f160df473c960335d31b83d4e6fa12599cbc727b5f5e8484

Observation a4f6ca67-46b7-4f96-a570-f92b0f22274a · outbound

This paper cites BrainWave: A Brain Signal Foundation Model for Clinical Applications.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding BrainWave: A Brain Signal Foundation Model for Clinical Applications

Reference 38

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no resolver link, observed 2026-08-06T21:56:07.248746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:07.248746Z digest=sha256:831b8d713093eb8b24cf9a929f978735f47c2d7875a90f142d151a569d135911

Observation f5b5343e-fdd1-4147-b834-84b43be89a37 · outbound

This paper cites A simple review of eeg foundation models: Datasets, advancements and future perspectives.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding A simple review of eeg foundation models: Datasets, advancements and future perspectives

Reference 39

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no resolver link, observed 2026-08-06T21:56:07.327066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:07.327066Z digest=sha256:52c5cfc254bffec11c9a8fd68590e9bc181dbfe1535ef2e361daac88568a9356

Observation fdf9c528-acb6-4fff-b754-45bd1f72cdac · outbound

This paper cites CBramod: A criss-cross brain foundation model for EEG decoding.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding CBramod: A criss-cross brain foundation model for EEG decoding

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:23.651016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:07.377435Z digest=sha256:0e3a54984748b8f0dce2ab6db94a345e08f8d8df26f28b9af3658f7b6df15b3d

Observation 7a77b47f-b05c-4efc-87b1-83adf5519da5 · outbound

This paper cites Attention is all you need.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Attention is all you need

Reference 41

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no resolver link, observed 2026-08-06T21:56:07.425473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:07.425473Z digest=sha256:996a8ccb839a252526e44dbc8a777c427b62beada3a894a27dd01873caa20023

Observation 292dab28-fe36-4d8f-a46a-3faaacb173a4 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding An image is worth 16x16 words: Transformers for image recognition at scale

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T21:56:07.465771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:07.465771Z digest=sha256:18de1791d2cd152743c4254bc51173c05fb8fcf7b079fff961f3a96fa477bc3a

Observation 789531b9-6ab3-4ced-a8c7-f3291da7a604 · outbound

This paper cites Self-supervised learning: Generative or contrastive.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Self-supervised learning: Generative or contrastive

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:23.451708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:07.501138Z digest=sha256:e2d40a6d2161b0459f24e390471acf83e839931a6ab1ae915e2a57f123933c23

Observation fdcad1ad-8897-443a-9b50-d5276a80d93e · outbound

This paper cites Bendr: Using transformers and a contrastive self-supervised learning task to learn from massive amounts of eeg data.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Bendr: Using transformers and a contrastive self-supervised learning task to learn from massive amounts of eeg data

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:23.241455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:07.565718Z digest=sha256:e22e82670e87278c63f044b83b06bc674c42e8507cdf8bea140da64e17c82f2e

Observation f7fc9290-2b5a-4c42-b5ca-8f1f10e39200 · outbound

This paper cites Masked autoencoders are scalable vision learners.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Masked autoencoders are scalable vision learners

Reference 45

Resolution
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no resolver link, observed 2026-08-06T21:56:07.644477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:07.644477Z digest=sha256:2d802618e40a1f5b89dfd40205df4460068f3a7981bbd9244379d3e165c459bb

Observation 0048729f-f75c-457e-bc8b-e401523f2862 · outbound

This paper cites Cswin transformer: A general vision transformer backbone with cross-shaped windows.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Cswin transformer: A general vision transformer backbone with cross-shaped windows

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T21:56:07.727790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:07.727790Z digest=sha256:af61d840798de0e8883c5e6af87bbcc94993e8ddb1a479c3d185cc5a3fb7eef9

Observation 021fbcda-5ef1-4d06-993b-48298dbea5b9 · outbound

This paper cites Principles of neural science, volume 4.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Principles of neural science, volume 4

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T21:56:07.822712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:07.822712Z digest=sha256:a24eaf99ab8b67067ac77bf603432a484ad61d4da0fff199aa68f7e2ac3b5f45

Observation 90f2979c-9122-449a-8615-4a4d5cad93eb · outbound

This paper cites Rhythms of the Brain.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Rhythms of the Brain

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T21:56:07.914736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:07.914736Z digest=sha256:49e0959c5dff01726345d9b952ccbdfcfd30f03a5053227b5c5f618d254a81e3

Observation 35326129-8bfb-4d6b-8501-5f2762425fa1 · outbound

This paper cites A weighted and directed interareal connectivity matrix for macaque cerebral cortex.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding A weighted and directed interareal connectivity matrix for macaque cerebral cortex

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:22.971877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:07.978208Z digest=sha256:f9ce32792a086e6be01b783be1e1ea5cf011f588e8f96ecaad2257bb28bfccef

Observation a04e964a-5493-4f98-8ce8-f8b7c6d4124f · outbound

This paper cites 2020 international brain–computer interface competition: A review.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding 2020 international brain–computer interface competition: A review

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:22.835860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:08.091741Z digest=sha256:a684b097a3fff00c21b92dd08617ba86ce46bbd280bc5af232815e6a9df47063

Observation 2a14e716-81e8-4e72-95a8-df02ebc45824 · outbound

This paper cites The sleep slow oscillation as a traveling wave.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding The sleep slow oscillation as a traveling wave

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:22.631002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:08.213687Z digest=sha256:ec5699f4ae40fecd313928d66906fe38a50c9d4d9ec508cb54ddc13c757904f9

Observation f9a8419e-b29f-445c-945a-b6ff86cb1c93 · outbound

This paper cites The wu-minn human connectome project: an overview.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding The wu-minn human connectome project: an overview

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:22.444368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:08.336421Z digest=sha256:731e1c7749e39d65b360d2669edb1bfaed69d12fa0b15eabf2ddb10f117f5b5b

Observation 64c07328-1025-4f3c-8fdd-88be17b4967a · outbound

This paper cites Cognitive motor processes: the role of motor imagery in the study of motor representations.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Cognitive motor processes: the role of motor imagery in the study of motor representations

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:22.225414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:08.554938Z digest=sha256:00262f70f7ba886312bc56d564a88b99dc10efe7cb3ea96b07e5ac00c58f19d8

Observation a8ea3452-6eb1-4fc4-8c63-47c0d2946683 · outbound

This paper cites Eeg based emotion recognition: A tutorial and review.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Eeg based emotion recognition: A tutorial and review

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:22.069189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:08.696437Z digest=sha256:f422e5ccbfaab70a2c9f9b97507e27b89dac95545567e63253404334dacbb8a0

Observation 1119651d-5b98-42ae-82bb-5bba48d2a446 · outbound

This paper cites Eeg artifact removal—state-of-the-art and guidelines.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Eeg artifact removal—state-of-the-art and guidelines

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:21.907094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:08.787989Z digest=sha256:983ddf21ab5f7f97e0e849c4af6923761350f4c8b7203c0f8e95d66b6d8ecbfc

Observation cb136023-0210-4b10-a62b-115d9e2fe1c8 · outbound

This paper cites Simmim: A simple framework for masked image modeling.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Simmim: A simple framework for masked image modeling

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T21:56:08.872532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:08.872532Z digest=sha256:496e8a85b668029ab26bcfa969f2497176bf59aed341b516c12d5c9ecc303f72

Observation 0696f030-7222-475d-946e-211c07da05f9 · outbound

This paper cites Bci competi- tion 2008–graz data set a.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Bci competi- tion 2008–graz data set a

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:21.576476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:09.046649Z digest=sha256:24954499545771b1407cb50fc2c5f73161fb02f45ca6d8fd8950f34dc07b30b1

Observation 8fb47536-e1f2-4496-9fe5-96a30c294e3e · outbound

This paper cites Bci2000: a general-purpose brain-computer interface (bci) system.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Bci2000: a general-purpose brain-computer interface (bci) system

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:21.421610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:09.172357Z digest=sha256:cb902e92e57bc408e4510a4bf4bd5dbd242a5dbc4baad123141547fa62b3ae23

Observation 72a0e06e-0f80-487a-9b3b-da5e0e8a61ff · outbound

This paper cites A large eeg dataset for studying cross-session variability in motor imagery brain-computer interface.Scientific Data, 9(1):531, 2022.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding A large eeg dataset for studying cross-session variability in motor imagery brain-computer interface.Scientific Data, 9(1):531, 2022

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T21:56:09.328004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:09.328004Z digest=sha256:b7900716afe0937558a976fc3a9fc27467ffd4780e5ecd9fc763e64223806060

Observation bfb338f2-978c-4c5b-bc7d-47693a88f9fc · outbound

This paper cites Gnn4eeg: A benchmark and toolkit for electroencephalography classification with graph neural network.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Gnn4eeg: A benchmark and toolkit for electroencephalography classification with graph neural network

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:21.211102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:09.427849Z digest=sha256:9a29a622a0fbaad6ca6efed8ebc3d72eaecdfbc1c7a1f9be01bed32f5ecc039c

Observation 068aad24-4e0b-4d8e-8cd3-2cf51fad6897 · outbound

This paper cites Comparing recognition performance and robustness of multimodal deep learning models for multimodal emotion recognition.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Comparing recognition performance and robustness of multimodal deep learning models for multimodal emotion recognition

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:21.000756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:09.558073Z digest=sha256:ad2da3f6d7119145b1666b1cfc3cafc5d8f269c23c853390ad5cc2426102075a

Observation 30cbdc32-bff1-445b-b5ce-a53b7f52c6fd · outbound

This paper cites Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals

Reference 63

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unresolved
no resolver link, observed 2026-08-06T21:56:09.688899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:09.688899Z digest=sha256:194a27e8d846585236a31c0fb55a92c6ae6be7c26d7911ceb45e277ced7af7b8

Observation 540247d7-4101-47e3-ab36-cc9d50505937 · outbound

This paper cites Application of machine learning to epileptic seizure onset detection and treatment.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Application of machine learning to epileptic seizure onset detection and treatment

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-06T21:56:09.778057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:09.778057Z digest=sha256:cc940086002663ec0e2b329845d9bf9f76c89edbf772f6a19c625c9902d69951

Observation 3e4e1487-b3b5-4b16-93b0-8de8600673df · outbound

This paper cites Eeg synchronization analysis for seizure prediction: A study on data of noninvasive recordings.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Eeg synchronization analysis for seizure prediction: A study on data of noninvasive recordings

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:20.718628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:09.890612Z digest=sha256:369b007161c82ffb7d55aae296c975d95c98a676b273c6ffed14a70140d4c5da

Observation 85dfffb1-9f43-47a1-b329-b052a8834ab4 · outbound

This paper cites Isruc-sleep: A comprehensive public dataset for sleep researchers.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Isruc-sleep: A comprehensive public dataset for sleep researchers

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:20.572906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:10.048322Z digest=sha256:0b18a370e5a952cff3137702e6ba05e21393ea1ed4a44aefa4905c7bee2e3ade

Observation faf6acb6-de7d-4927-9d95-b542b7f1d0a3 · outbound

This paper cites Inter-database validation of a deep learning approach for automatic sleep scoring.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Inter-database validation of a deep learning approach for automatic sleep scoring

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:20.317509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:10.194190Z digest=sha256:656cafb2944708650c74af9cb1b7359e6ac44e45a9b3e68f45a0cc3fe2110f84

Observation c6d0aef0-bebe-4ee8-87da-2a3dd6c80aa3 · outbound

This paper cites A multimodal approach to estimating vigilance using eeg and forehead eog.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding A multimodal approach to estimating vigilance using eeg and forehead eog

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:20.106985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:10.257038Z digest=sha256:672f2ef6df2972592665209b0e59c4c0e7510e04460c6342c65406901d52e08b

Observation dfeeb913-6711-4cad-8897-f7c4aa442966 · outbound

This paper cites Electroencephalograms during mental arithmetic task performance.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Electroencephalograms during mental arithmetic task performance

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:19.945146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:10.366677Z digest=sha256:f6da5c8ebb853377f277cd2f5c9a08f5ff30226ad0de9d1bd600597930068da4

Observation ea539146-2aae-47ef-ae58-56d4c1d816e7 · outbound

This paper cites MDD Patients and Healthy Controls EEG Data (New).

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding MDD Patients and Healthy Controls EEG Data (New)

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T21:56:10.484924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:10.484924Z digest=sha256:a0e163afb5a3e5d7d5877801479b1c261b1d025504af8c5eaa3cda75d4191ce5

Observation 01412aba-c9b2-4f64-9fc5-0a8a9c4de353 · outbound

This paper cites The temple university hospital eeg data corpus.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding The temple university hospital eeg data corpus

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:19.832962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:10.543325Z digest=sha256:f36da648c5d705208ec92759ab7fd4b48d9bcfb435182fd6c7d16292bda98e36

Observation 728b7bf9-2f84-4511-bdec-1c8b1761df7f · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T21:56:10.656959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:10.656959Z digest=sha256:1ede202fc58b725af0bd746a23afd6072349cc9115bab12fe450a065d096fbf7

Observation 2f8a400d-376f-4d8d-a685-eca5f2777a64 · outbound

This paper cites Event-related cortical desynchronization detected by power measure- ments of scalp eeg.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Event-related cortical desynchronization detected by power measure- ments of scalp eeg

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:19.634655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:10.750496Z digest=sha256:c111b14b806f0af2c52d0f1f59f11e90def5dc6bc7d539a7641a98d281106f99

Observation b3882099-2915-4d3e-8bd2-740e72faf35b · outbound

This paper cites Speech production: Wernicke, broca and beyond.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Speech production: Wernicke, broca and beyond

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:19.476782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:10.850957Z digest=sha256:9bae7e94e23e8776167e593ec13e2a5dc7600d7863c432e8f0f3c7ecc57f4575

Observation ad687056-7e68-48b2-8349-319c3e5970fd · outbound

This paper cites Revealing the spatiotemporal brain dynamics of covert speech compared with overt speech: A simultaneous eeg-fmri study.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Revealing the spatiotemporal brain dynamics of covert speech compared with overt speech: A simultaneous eeg-fmri study

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:19.329587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:10.977126Z digest=sha256:1c4ce98a856cecc7fe13f84009999c8439e248ecf18f8de885a2a9a497edad27

Observation 36edc411-fa67-40ee-bbcf-406d0b0f23dd · outbound

This paper cites Fft-based deep feature learning method for eeg classification.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Fft-based deep feature learning method for eeg classification

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:19.148988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:11.097421Z digest=sha256:1232ad8cd2931406c90304810b056e46165ce0ba26ec944f018af4324f643646

Observation 072a6082-eacf-4d2e-b033-6b1bf78f6ccd · outbound

This paper cites Epileptic seizure classification of eeg time-series using rational discrete short-time fourier transform.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Epileptic seizure classification of eeg time-series using rational discrete short-time fourier transform

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:19.027359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:11.257037Z digest=sha256:95f722be72b8ab9db3519826075b5394b59f1c1cfdb49cc3ac5634dfde1a0d19

Observation 22ec4d30-4691-4917-8124-ac5c3436dace · outbound

This paper cites An eeg based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding An eeg based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:18.872737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:11.353855Z digest=sha256:ce1752ee79d9adf84fbd6be7eda85ecb386cd244f99dbf60f2a7c1e2c85ca2f7

Observation 61c138f1-45f7-4fd9-93d9-1f9b5847ca37 · outbound

This paper cites Optimizing spatial filters for robust eeg single-trial analysis.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Optimizing spatial filters for robust eeg single-trial analysis

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:18.766871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:11.449829Z digest=sha256:a6e7b49fc9efd69f605437d9fd7a536417b38fdaac7df0668cb41be1f08030dc

Observation 1fe36aa6-c127-4d07-88f3-817fde918d8a · outbound

This paper cites Multiclass brain– computer interface classification by riemannian geometry.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Multiclass brain– computer interface classification by riemannian geometry

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:18.630003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:11.521723Z digest=sha256:2c6009b9205366f009e21efa3a0c7b13d151caa0bc409e1028bb2c5d5c65a211

Observation c9ce1128-1ba6-473a-9760-de9f2d43cb00 · outbound

This paper cites Differential evolution algorithm as a tool for optimal feature subset selection in motor imagery eeg.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Differential evolution algorithm as a tool for optimal feature subset selection in motor imagery eeg

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:18.484426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:11.647723Z digest=sha256:5f914390dd446f463c285acc3b40568cad3a44cbc245cd922222de57da278a96

Observation 4c23ccab-3deb-4772-ae1c-60864d559878 · outbound

This paper cites Multiclass support vector machines for eeg-signals classification.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Multiclass support vector machines for eeg-signals classification

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:18.349895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:11.733517Z digest=sha256:e59cad6fdd79e85ddb87f87050a5bbd49c3d26cee951af704b2f325eca8a238c

Observation afd8a98a-01ec-48cc-a7cc-6988edff8d1a · outbound

This paper cites Comparison of signal decomposition methods in classification of eeg signals for motor-imagery bci system.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Comparison of signal decomposition methods in classification of eeg signals for motor-imagery bci system

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:18.165331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:11.850362Z digest=sha256:122c09784bea1fb9c9af1aaaec0f4a94c4ed42a4ddd99e96d5a7936c4b27b7a8

Observation 4bd55abc-313a-4d31-99f3-8016d6efd04f · outbound

This paper cites Logistic regression for single trial eeg classification.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Logistic regression for single trial eeg classification

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:18.014339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:11.947163Z digest=sha256:659a0b17440a7dc2d5e43f1f720f77c9868cfcdcd33c27267da8ac0c5c9a467a

Observation 58a267d2-8e6e-4fb8-97b1-db8350acc677 · outbound

This paper cites Deep learning with convolutional neural networks for eeg decoding and visualization.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Deep learning with convolutional neural networks for eeg decoding and visualization

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-06T21:56:12.072760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:12.072760Z digest=sha256:868cc16888589e46929b9b76c8ef9cbbc2f51b9f575d3e3a764278a25bf215b2

Observation 33b33372-1347-465f-9e4d-02dfecb46bb6 · outbound

This paper cites Lmda-net: A lightweight multi-dimensional attention network for general eeg-based brain-computer interfaces and interpretability.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Lmda-net: A lightweight multi-dimensional attention network for general eeg-based brain-computer interfaces and interpretability

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:17.838031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:12.204605Z digest=sha256:40761f37173b4eff326032b518e4157c2085cdfd49231b15c007255f0d7d82b1

Observation 0c186548-8b27-4b75-ba1e-c16536d3f410 · outbound

This paper cites Lstm-based eeg classification in motor imagery tasks.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Lstm-based eeg classification in motor imagery tasks

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:17.697063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:12.306585Z digest=sha256:e3cf1c9cf73c7b675592900bc1ad799a8834b92c28658faf12f7c700815b816a

Observation 462bd968-c2e9-4ad6-abda-1e138fd01fcb · outbound

This paper cites An efficient lstm network for emotion recognition from multichannel eeg signals.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding An efficient lstm network for emotion recognition from multichannel eeg signals

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:17.484853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:12.414767Z digest=sha256:142fb9c9a4b5e9bc88d146fd621b76e7b608f71f7ab6eccd47b15decd159fd9d

Observation 5d7c9f37-ab85-4b12-a7ab-dc0946d3e00f · outbound

This paper cites Sleeptransformer: Automatic sleep staging with interpretability and uncertainty quantification.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Sleeptransformer: Automatic sleep staging with interpretability and uncertainty quantification

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:17.356015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:12.525524Z digest=sha256:436a0b0578e284ebeb8f5f53c19edc28aec8ff098c59e60f2f61f7ee60a9b9de

Observation 7a24cb2c-b987-4d3e-a155-580a0e057350 · outbound

This paper cites Graphsleepnet: Adaptive spatial-temporal graph convolutional networks for sleep stage classification.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Graphsleepnet: Adaptive spatial-temporal graph convolutional networks for sleep stage classification

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:17.233334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:12.693631Z digest=sha256:4251a8dab9a5a90d0875536e34786a58b1d3874d1b15ad9f3b18e461e3340640

Observation 82e10355-a84e-4eae-948c-c34e1c816ffd · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-06T21:56:12.801653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:12.801653Z digest=sha256:1f1de5e77e81cef807947fc8dd5579c1ff1f1c604151412882a1eb07a1d91ad9

Observation 69bad8db-0a92-4357-837c-7772dc7377c6 · outbound

This paper cites Language models are few-shot learners.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Language models are few-shot learners

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-06T21:56:12.904445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:12.904445Z digest=sha256:c5d85ad29f8a1d832b1b5d0f603bd082ab59798b7897e42f649ae3881e7672aa

Observation 763ec4b2-ec8a-4ea7-bb98-7f49d6f2fb39 · outbound

This paper cites Learning transferable visual models from natural language supervision.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Learning transferable visual models from natural language supervision

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-06T21:56:13.012074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:13.012074Z digest=sha256:ac4af83148359096b3685541d78ed188136dff79dfbf83cf3dc129a64a301c20

Observation 2d050c9f-081e-452f-ace8-668f9f352bb3 · outbound

This paper cites FlexCAD: Unified and versatile controllable CAD generation with fine-tuned large language models.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding FlexCAD: Unified and versatile controllable CAD generation with fine-tuned large language models

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:17.045807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:13.120996Z digest=sha256:21ff04ffeb31109e76a911762c1b8b64669fe3bec8ea1546556961f03ce249a2

Observation 9423dfe5-2fde-4003-92e8-89483987855e · outbound

This paper cites Learning from observer gaze: Zero-shot attention prediction oriented by human-object interaction recognition.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Learning from observer gaze: Zero-shot attention prediction oriented by human-object interaction recognition

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:16.907488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:13.212067Z digest=sha256:877153b1228165a0cfe9efbb84451e8fdfd4520ddfd5ac60b6679d760a01669c

Observation b6354897-d981-4b43-8f9d-29e442e219cf · outbound

This paper cites Skeleton-in- context: Unified skeleton sequence modeling with in-context learning.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Skeleton-in- context: Unified skeleton sequence modeling with in-context learning

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:16.771297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:13.313234Z digest=sha256:010cfeb4d2db9b58b3d5ead632ab32b7cb87997b8041d3c67e0a7781534f254f

Observation d877c42d-fe9a-4682-9692-378fa1e20c8d · outbound

This paper cites Drivinggen: Efficient safety-critical driving video generation with latent diffusion models.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Drivinggen: Efficient safety-critical driving video generation with latent diffusion models

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:16.582098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:13.412678Z digest=sha256:1e131411b876783b7e1d8b62ebdda9a4e5efabc2ef55f91e8a35647659b85213

Observation f96d9342-4512-49ae-ac27-51e11accebf8 · outbound

This paper cites BrainBERT: Self-supervised representation learning for intracranial recordings.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding BrainBERT: Self-supervised representation learning for intracranial recordings

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-06T21:56:13.509974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:13.509974Z digest=sha256:7df0981fb1128cd3798e560f8d70310ca43e866c1e5097c1d9275fbbc45adabc

Observation 175bc4a0-c0a6-43d3-a8da-83cc4e3e9a1f · outbound

This paper cites Brant: Foundation model for intracranial neural signal.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Brant: Foundation model for intracranial neural signal

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:16.464888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:13.649134Z digest=sha256:e90680e9548c4213b83dbe4a5dc5fa2f224440e2c18f5f9a85c05598ff1885d4

Observation 47909e78-269f-4bd5-987c-c10bdf347975 · outbound

This paper cites Eeg2rep: enhancing self-supervised eeg representation through informative masked inputs.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Eeg2rep: enhancing self-supervised eeg representation through informative masked inputs

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-06T21:56:13.790928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:13.790928Z digest=sha256:d3c05db7d89fdfbcd9c5fe130a1eb47efaab2edc4bf8b7b80ea1c1100271ce98

Observation ce200c1b-37a1-45ac-b86f-8e297723f467 · outbound

This paper cites Ten-twenty electrode system of the international federation.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Ten-twenty electrode system of the international federation

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:56:16.337723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:13.914578Z digest=sha256:303b5e0d26dca9133508d6ee9e0f34c40fb24df31e2a6cc31b380cd4d8915e6e

Pith citing papers

Observation 0e6bbed9-50b2-483a-b6fb-c2c2ab092662 · inbound

Large-Scale AI and Foundation Models for Neuroscience: A Comprehensive Review cites this paper.

Large-Scale AI and Foundation Models for Neuroscience: A Comprehensive Review CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-04T09:14:48.082093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:14:48.082093Z digest=sha256:181e3af360dc039ed9f9b2046754cb5fe3f033cd349ff720c158eb5afcfbbd78

Observation 7de39762-1522-43cc-a52d-839035ec0e93 · inbound

Brain-OF: An Omnifunctional Foundation Model for fMRI, EEG and MEG cites this paper.

Brain-OF: An Omnifunctional Foundation Model for fMRI, EEG and MEG CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-21T11:30:02.467724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T11:28:57.181268Z digest=sha256:f7ee8a93e5236e8cd3762a82414be06eb88cac5688e713db031243a232be4963

Observation 0e42e7ff-dfac-412e-aae9-6ed6cff546d9 · inbound

NeuroFlow: Toward Unified Visual Encoding and Decoding from Neural Activity cites this paper.

NeuroFlow: Toward Unified Visual Encoding and Decoding from Neural Activity CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding

Reference 70

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:26:02.374719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T17:11:07.301133Z digest=sha256:08f79e5399292f06465b79b22864d290f1a436c8209f467dd5322bfb90e3e85b

Observation 0ece55a8-fe5b-4dfb-b3ef-0840e78c3f87 · inbound

UniBCI: Towards a Unified Pretrained Model for Invasive Brain-Computer Interfaces cites this paper.

UniBCI: Towards a Unified Pretrained Model for Invasive Brain-Computer Interfaces CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:11:05.409482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-09T20:35:44.184577Z digest=sha256:6bbd5c76edca9bde9942f590398090f14b71e4346a66d2dbfc1fe12d183efac6

Observation da25f52d-4d1f-4e76-be2e-7b7242398377 · inbound

PRiSE-EEG: A Prior-Guided Foundation Model with Depth-Stratified Experts for Cross-Paradigm EEG Representation Learning cites this paper.

PRiSE-EEG: A Prior-Guided Foundation Model with Depth-Stratified Experts for Cross-Paradigm EEG Representation Learning CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding

Reference 83

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T01:07:54.606699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T01:06:50.375142Z digest=sha256:f4f983cf8c8a00425f6fdee804df518192906c169864b43181bdd5dad4eaf047

Observation 501612bc-f0ee-4ee7-9c0b-8ee75a92fea9 · inbound

Let EEG Models Learn EEG cites this paper.

Let EEG Models Learn EEG CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T05:13:58.354742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-21T05:11:59.176663Z digest=sha256:65b95f4d52f5616996db6492d81e0796f20f2125b2607de9f1fb4d110d688a48

Observation e21bf52d-2a60-4c28-b96e-99a122d092a6 · inbound

MSCGC-KAN: Multi-scale Causal Graph Convolution and Kolmogorov-Arnold Feature Mapping for EEG Emotion Recognition cites this paper.

MSCGC-KAN: Multi-scale Causal Graph Convolution and Kolmogorov-Arnold Feature Mapping for EEG Emotion Recognition CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:23:50.451884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T18:23:17.637276Z digest=sha256:9d9b01efaa85ca3e829b225dd1731831f642cdce4f73aeab19348494492a465e

Observation 5ae18b04-fe1c-462d-bf96-aec2d100beca · inbound

EvoBrain: Continual Learning of EEG Foundation Models Across Heterogeneous BCI Tasks cites this paper.

EvoBrain: Continual Learning of EEG Foundation Models Across Heterogeneous BCI Tasks CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T23:16:23.810465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T14:33:22.321367Z digest=sha256:15f6835d484f7dbda220a77aaf0649f4065d6b15049b0e4bbdfc8b7a40768f24

Observation 37b2922c-574f-4880-99c9-0462e8c4d3ab · inbound

SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learning cites this paper.

SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learning CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding

Reference 58

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:19:43.690547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T11:59:53.029913Z digest=sha256:80e614e2b4158af5bb5b01ee852a214215e9eed718d5896d2ce29a1e946f33d9