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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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:a11330baa1c84793086fd4b2d99d7e500e6e0269268f44ff1fbf856fd914e81f

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:d656b4848e527d403eb775532fea5628761b4f2677a8e5f7615d5ef64ed3f02b

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=sha256:38088ece75bf48e256329581e1e9ec510c732405e04963f0bab3745cc3b14ee4

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:f60aa52611dd5c0210b2f11ca2fc1072ea12387a9ba055db04cd880f072f8847

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=sha256:22bf99fbffdd72eee94614e28a687dcedb58879bb876d582a5dfb326130b57b3

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=sha256:0ea052a468f091d121621d60f87e25115d19b57da33fe094716d605edcf67a75

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=sha256:2f09ec1b92a87a1ada6682c0d695694abca03c69a94d640dea4f662f1e74c232

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=sha256:6eb40c4badf3dd6ab8035b8d072f0d25d1b4d3c4836084dc39b718177c42f0c9

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=sha256:8fa4fc1e833af66159ec6593884ccc2614d6881fab8df525acf51824239ea3ca

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:e33e4473e958ebc3f10682b0dc7b1e7406c9446fbe8e0e29f840e1cc0238e401

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=sha256:05ba42b06f713360ae80883d91631fecc2ce29fe3ec7e360cca45866ffd0b83e

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:df61adf8d688a853ce0451385d56daec6da9e117821aa80824d336ec593cd5d0

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:e5f74454223569f43cc7963eead5594cf53360319c3da3c958debd6a7181745f

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=sha256:04cd21e022a628f2520265eb7a8e858801edb33f30571d0167b673016175b204

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=sha256:547d754a1964a9e82f89b33d3d01da286b69466648108286c3b3f8588aa32409

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:a637a602309c15d1d0e0099f2f9ba2f0b3a374a9c3dc2670aec976eeb24d9f9b

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:df97147f48ed26e3affd1d90ec2786f78e55335a24eae76e4167d8f2922d4400

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=sha256:2438882dc0bd2c9e580de04168ecdfb93c34321aa52b4495453aec936bc3e091

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:f56b693adff7c94028be8bc2153ab50df074f2b7db41117ceb749ae01cc2a4c0

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:cc6a66b7e846b47287a9755c7b537b70b310ffcdc7e26b473035275d6b4ee418

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:a3dc23b02ecd8275699150afea6284852e6bde8cad6626dc992bf97dc1971ceb

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=sha256:01171a692c195c51beb30f2900397936936e68a11620b51c93a6c75cf2307eff

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:a87b8e52f88e4956ea919826fbd95385764406ece9bd0e4ee8d16f0bae9d4b72

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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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=sha256:407862219256246b3615aaded468e64811a28a70425ce3d8ce55978a69eba4c2

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=sha256:8fdd1badfada5295db642954423fcd887b643950f844dc0b7ddf69f66cfa8cf3

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:f51b79d767fd8c79718bb5caeecdc9689d528811ddfcb86d506ef2c41e1cc936

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=sha256:2f6055ecce9bc257d41d80a5d305378c850a32b6e266edca9931b970e7060a0c

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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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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raw_fallback, observed 2026-08-06T21:56:24.796717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:07.026648Z digest=sha256:ed21cb107ce5a6122b6650abb485efb255fa1d0b4427209687546583d4472ee6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:07.071205Z digest=sha256:bf184ffbd7ffb5bf45b7c0d7b9bc2b8594d2e8b170e2f5f2a7affd2706829019

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:07.107708Z digest=sha256:81881d965a266d45ebeff315059dc2dd9396477b0501ea52399a2e15342682f8

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

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source=pdf_text observed=2026-08-06T21:56:07.144600Z digest=sha256:4eb7d9dddb2eff6cd7e95db0ebee7fc79e76f5b90f1498d3b02cdc22615655c7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:07.203435Z digest=sha256:21db6870eb966759b7734cf4467b6319160cde3550d9164e4a66c8eee325a262

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=sha256:12c78454589106bec132e1b6405aace3b07fb0c88da37b32f00bbcbdecc31110

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:eca536fb1ded6d83ca153e0f1543138280a1950c09f20b2737bcb34eb7e367dc

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:07.377435Z digest=sha256:62ec89fa9a8ecd1fb48d21669822ba00dae6b6307590d5408d5d9f6bf1578ba5

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:a7cfc06517300ae3c95a12423a3ca897ecd62267d1ff99f54643cc3aef44b89a

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

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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:e3c8551b745090e06bc957b0cb92aaece9d973a913679911c256d2cd82f817bf

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:07.501138Z digest=sha256:b41d142dab8289b50d447433d1626ebca6bc69c83ed4ec3e45e04a4f447722e0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:07.565718Z digest=sha256:5b74cf9f70a4389a83b3630d7c8c53ba9b888c35efbd52c969d95b267b9a1a49

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:cbe9b82e512eea9c247edd07a5c5a3487efa1a261f7ac3bd6ca52d31f3ae567c

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
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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:cbce809075f58b0f8380f469fe9e6aea1f38858ff50af39524e1fb4ba4cdf949

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:a2e40e5a92a8442a595af4c5a627dc2b60e46b9c48efa5d5b12590e9fb9ae7d5

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=sha256:80450b5dbe3a1798ab0d40228b8a4c6a8165b70d6183af5a14182765f06038c1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:07.978208Z digest=sha256:5e8a22e8005e3ac18a441114aa21fa95735854851d61a5e1ec543d8d698d6f81

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:08.091741Z digest=sha256:a6d09e1aa4c91bbc78391359e44e0618033776b83e0696cf587956f97064ced8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:08.213687Z digest=sha256:9f4f339bfeb1b54ef164062b990cda2a3821cdacf680d2aff28f76f37889dc6a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:08.336421Z digest=sha256:96b254d2f5c5ccdb8cf01a6bda3af339b83503e8a2eb825b1a49a1d69dfda6c4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:08.554938Z digest=sha256:d401e879ab31aaf2ccfbcc4d42af363db63dd3dd0aa1bf487b43b1f901a3d0bb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:08.696437Z digest=sha256:4aacf5317a26280d97b33e69ed64931097b042fb805c3c4ae0e03b026af826c6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:08.787989Z digest=sha256:30221d6283f5ca11735b084d346bad2381ec1ffb6a945a05e0a8b2e84147f294

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:b78df9f37a41df3aaf21c74a37c55f545f5145e878380c516b0f87da1830874c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:09.046649Z digest=sha256:3c0169ea0fe550b0eddd56f09a0da36300c2c14c97d6cb4dc2c2f9bf198c8499

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:09.172357Z digest=sha256:a024888f1f8d64e5042a9fc1a64a4e903c9952720e57a4b42934f882966c96b0

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
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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:f0dc47de8b453b4843136d6c70cd023ec0074a1be4bac4c9dea717a2cd0a44fb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:09.427849Z digest=sha256:faf0690b8eeb5220354e2f8b72fc624e63e32813ddd24392b775823101db2cf7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:09.558073Z digest=sha256:1c31285db5a78962ed4d05f677ef2d57bf56b265dd787b810a00f9f6a83799c1

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=sha256:060bd850add2ef420b04e4dba3191945c2506726c1e466b4bec761195220da2f

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=sha256:3c7cd13b0f7023f927095d3dfe7e7add939a1b9b52e0e1f358d21092a3afb7e9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:09.890612Z digest=sha256:d9fc1bcec9bc5a09f4760c02cf857a5f5685dfe0b7b1a4a6d65d9d5691d3230b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:10.048322Z digest=sha256:689fdbf89eeb59fd0649689c49638c80be0ca7249fab18557400115f3147d06d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:10.194190Z digest=sha256:972dac938e08f02fc55a14b9495c062688d3ef9d1cf70f841f14f4b261056509

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:10.257038Z digest=sha256:c7ea400556694c548adee7195f4ba29bf9230099b18b0bafbdb9a49f1156b9aa

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:10.366677Z digest=sha256:129f07c3bcaac14f6fe8f0e9d9a53a869ce303a3d00cfeda69c0a6aadbed9070

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:b5272855c494440f4dc543dc0992d5cfe6d9c54d2224b35e3f02871a0985c092

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:10.543325Z digest=sha256:3371496676697b116fa2f84d78edc5e5f826bb8cd356c86ea05b4d94a3498ff6

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=sha256:4ba43ffa2f5b86293d19769e599b97438576bb7014d3333a27931cdd56dc4948

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:10.750496Z digest=sha256:1f131e1278e4e4b05065935472a1a6426a0f77051fb0c63161d99d4e0d8a5bb6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:10.850957Z digest=sha256:801527dd6854dc3032d3d0a5438faacffb3e28e79440d7bdd88e167a8c61c206

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:10.977126Z digest=sha256:b270ea36c69e06177173c093f35f19661008c8090c61abb791524fd701704abf

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:11.097421Z digest=sha256:ef8bc3dbdb006d4c1b9d93b59bb603f0196e7418078590c65c0efd1b36eb547a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:11.257037Z digest=sha256:acbdacd21c97c73490677f8932eb0d611c3b1928213d9084ffa8a19554e7cee1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:11.353855Z digest=sha256:6d0e49f74c62b763ce9677f641bbcbe6bb02e32526a33f82393910da750eccc3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:11.449829Z digest=sha256:0c5c0e6a75900c9d66b8c3f761360380748b1fd603b2ed70ea4e613c82aba557

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:11.521723Z digest=sha256:3a6aa7aef11c62c84a67abf1d69ac46f3fec7815e5ecdcca66995ee084c662a6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:11.647723Z digest=sha256:21752c8ab93209997b5596d900b8fec147c9d2bd9db4bc6984065a6ff0949791

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:11.733517Z digest=sha256:eaed411f8881a603cc6b5034420d37b91f0df91c4cdd01cb917d182a6ee65ce7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:11.850362Z digest=sha256:1761253df0fb533b62bf28b8703048df64a412ea79940005459f119e903032ec

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:11.947163Z digest=sha256:27f72d20392b1b1585cf6dc1c4f6fdae0f1270d403c841d2f25263b02b09b958

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=sha256:854c699060bf7c174cbc8be432bc5529f809ba39ff124a370a023e4738b24e2f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:12.204605Z digest=sha256:81f7d166c3ccc3a38bcc4ee9f242aee99008df9b39d926178dc9098daaa2919f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:12.306585Z digest=sha256:dcc344bd795f20b38f203671b7119782efe249fa0b654ddb61de144ad4240ccf

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:12.414767Z digest=sha256:f13753325715c276e1abf41f3fcca0707197b0b3bb7ee238529870fde6382783

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:12.525524Z digest=sha256:c481019b3cb0df89423691608a3bf1f988f0bd2054e18cf1fe9673a900a75297

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:12.693631Z digest=sha256:4a349bf97df512d8ecff64cec744d0c735ecc43e56f9e849d4d83c62a608e6d8

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=sha256:012b0ef351dd4cec57c66443ed4152b51438834b17885c0acdf9a7f96f497214

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=sha256:79ec4f126572ade064bc48fe3f04981120fa6656ed44922ddcecdb1279a5f9af

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:d3c7f15d71b29c167d7e66b48ccb07ee0720b1faea21b968da3d1810f0d6dade

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:13.120996Z digest=sha256:627eef7c7ca2e927bc1f0cf23fa83b62e005db7cda06647d389c871524bef0e9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:13.212067Z digest=sha256:6fc1fdc184fd9a9dd5e685eafb56c060d5593cced43b57a5bda24d7d1db6f94d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:13.313234Z digest=sha256:d9f250e6947777f07b60843d9b87f9cbd829242d452aec925d1b855b8a18792b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:13.412678Z digest=sha256:6e0e2355b79eb413175683072bc282e7da6aff3b1f4abf6a39e1f5b53a58f88c

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=sha256:889ea11bafa0901aaf67c8855d15d09f9429a014cba32f79aad87538aaea69f1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:13.649134Z digest=sha256:fcf53dcfe60a9fe812ff3e01d99a46c3af407bdc54ea6db3d3aebf2793ca372a

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=sha256:8ddbdfd10951a692d2f18a90414a6ea846d9f4fd80b8d68478d1b7dc7c804901

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:56:13.914578Z digest=sha256:9dc954b8af13dcdd242f160e56f3dde1e5225740812cc08f10e1691593727292

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=sha256:351b03664b2614f63a6a27eef3633e8831c9c353d7456126869264e2587d48c1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T11:28:57.181268Z digest=sha256:74922988291f3543fa2b33716984cd452686c1215662b2fbff7ec8444dd05f39

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:11:07.301133Z digest=sha256:21be93c7f96244d701d820d1885a22cd19c774f4e1558cd76e490c39a8f15189

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T20:35:44.184577Z digest=sha256:8bf3c4f33c4301ee33998b3b6fc467a11579bab8876c76fbc4960c663165fa2b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T01:06:50.375142Z digest=sha256:447f0545bf61a7e763cdf1ce602949189100eb460c0f60176b644a360ad52c3d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-21T05:11:59.176663Z digest=sha256:ec3e97d5b553c08949122d18bf84d4aefb0cbb4fe4da4e7243eac4fd3a082b4b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T18:23:17.637276Z digest=sha256:e25474730206c7a1e57c432248f34fc37598f4c0487ad5252d023ec98ec9e958

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T14:33:22.321367Z digest=sha256:4e38d5a1eb0cbd1993763b724ae9938b5ab75ccc542293a041cfebf423fa7fe8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T11:59:53.029913Z digest=sha256:462225e1e2ac2546b1ae35169b49cb7d929652d58d3b0de043dd3b0a458d6d24