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Paper Citation Record · LEDGER

Large Language Models for EEG: A Comprehensive Survey and Taxonomy

As of 8 August 2026, this Paper Citation Record lists 100 of 107 outbound references and 0 inbound Pith citation observations for arXiv:2506.06353.

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

pith.paper-citation-record.v1
2506.06353 v1

Coverage vector

measured 100 of 107 reference resolution

Typed states for the displayed outbound observations.

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measured 100 of 100 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 107 outbound references displayed

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External citation measurements

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Outbound references

Observation 591cb8f2-3c93-4250-ba71-bcf3ecd6bda4 · outbound

This paper cites Attention Mechanism, Transformers, BERT, and GPT: Tutorial and Survey,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Attention Mechanism, Transformers, BERT, and GPT: Tutorial and Survey,

Reference 1

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Observation 647798ed-14d1-425d-be7b-3c2a0a3c4395 · outbound

This paper cites BERT: A Review of Applications in Natural Language Processing and Understanding.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy BERT: A Review of Applications in Natural Language Processing and Understanding

Reference 2

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Observation fd825d56-5288-4744-8656-1a2ddf2a9de9 · outbound

This paper cites What does BERT learn about the structure of language?.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy What does BERT learn about the structure of language?

Reference 3

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This paper cites Brain com- puter interfaces, a review,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Brain com- puter interfaces, a review,

Reference 4

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Observation 44dba42c-4e4a-4f33-a041-1fdb4b8f7a8d · outbound

This paper cites Brain- computer interface technology: a review of the first international meeting,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Brain- computer interface technology: a review of the first international meeting,

Reference 5

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy Eeg signal analysis: a survey,

Reference 6

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This paper cites Analysis of electroencephalography (eeg) signals and its categorization–a study,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Analysis of electroencephalography (eeg) signals and its categorization–a study,

Reference 7

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy Eeg signal analysis: a survey,

Reference 8

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This paper cites Thought2text: Text generation from eeg signal using large language models (llms),.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Thought2text: Text generation from eeg signal using large language models (llms),

Reference 9

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Observation 85e64ec7-8fee-4bf6-9cc4-2421746de257 · outbound

This paper cites Hidden states in llms improve eeg representation learning and visual decoding,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Hidden states in llms improve eeg representation learning and visual decoding,

Reference 10

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Observation a88fd05b-8e6e-4bb3-b300-bbdbca23f368 · outbound

This paper cites Mind2Matter: Creating 3D Models from EEG Signals.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Mind2Matter: Creating 3D Models from EEG Signals

Reference 11

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Observation 3620d2c1-6a22-4742-9118-65dc1a95caf9 · outbound

This paper cites Exploring large-scale language models to evaluate eeg-based multimodal data for mental health,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Exploring large-scale language models to evaluate eeg-based multimodal data for mental health,

Reference 12

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Observation 71db3979-a17d-48f9-9649-878953ec831a · outbound

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

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Eeg artifact removal—state-of-the-art and guidelines,

Reference 13

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Observation 1941c4cf-3c7f-43f1-87e7-37d1bc6dc4d6 · outbound

This paper cites Identification and removal of physiological artifacts from electroencephalogram signals: A review,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Identification and removal of physiological artifacts from electroencephalogram signals: A review,

Reference 14

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This paper cites Removal of artifacts from eeg signals: A review,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Removal of artifacts from eeg signals: A review,

Reference 15

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This paper cites Discrepancy between inter- and intra-subject variability in eeg-based motor imagery brain-computer interface: Evidence from multiple perspectives,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Discrepancy between inter- and intra-subject variability in eeg-based motor imagery brain-computer interface: Evidence from multiple perspectives,

Reference 16

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Observation 43df875d-c71f-4ba8-b119-312a87279913 · outbound

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy Intra- and inter-subject variability in eeg-based sensorimotor brain computer interface: A review,

Reference 17

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy A survey on evaluation of large language models,

Reference 18

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Observation b51513c5-c167-41f7-a7d8-4d16a0d2039e · outbound

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy Attention is all you need,

Reference 19

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy Large Language Model Alignment: A Survey

Reference 20

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy Aligning Large Language Models with Human: A Survey

Reference 21

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Observation 505c78aa-2e55-41b5-9e45-3ff22d3b3476 · outbound

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy Eegformer: A transformer–based brain activity classification method using eeg signal,

Reference 22

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Observation 5185c244-0e2e-4fef-a732-4c3fc4baa69b · outbound

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy Transformers for eeg-based emotion recognition: A hierarchical spatial information learning model,

Reference 23

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Observation f1e418e0-fadd-4934-8306-5d50516db477 · outbound

This paper cites EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer

Reference 24

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Observation ddf69952-e992-412e-9ecd-71fc57d387b6 · outbound

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy Brain–computer interfaces for com- munication and rehabilitation,

Reference 25

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This paper cites Electroen- cephalographic motor imagery brain connectivity analysis for bci: A review,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Electroen- cephalographic motor imagery brain connectivity analysis for bci: A review,

Reference 26

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy Performance variation in motor imagery brain–computer interface: A brief review,

Reference 27

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives,

Reference 28

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy Steady-state visual evoked potential (ssvep)-based communication: impact of harmonic frequency components,

Reference 29

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Observation 40f6ac89-3349-4f78-9987-7f8891b17a60 · outbound

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy A survey of multimodel large language models,

Reference 30

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Observation 63dcb30f-0f5f-4993-8a71-6dffac2af960 · outbound

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy Image Transformer

Reference 31

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy Pre-trained models: Past, present and future,

Reference 32

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 33

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy Flamingo: a Visual Language Model for Few-Shot Learning

Reference 34

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy Visual Instruction Tuning

Reference 35

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy Finetuned Language Models Are Zero-Shot Learners

Reference 36

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy Instruction tuning for large language models: A survey,

Reference 37

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Observation 0c8c24ab-0cf9-47ec-b79c-e82b4458141c · outbound

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy Large Transformers are Better EEG Learners

Reference 38

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Observation d38505c9-48fc-48b1-b1af-da9cf33727a8 · outbound

This paper cites BELT-2: Bootstrapping EEG-to-Language representation alignment for multi-task brain decoding.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy BELT-2: Bootstrapping EEG-to-Language representation alignment for multi-task brain decoding

Reference 39

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Observation 0d558ce4-fd8d-4c49-8fe7-8b790f9c934d · outbound

This paper cites A survey of zero-shot learning: Settings, methods, and applications,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy A survey of zero-shot learning: Settings, methods, and applications,

Reference 40

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Observation 3b237294-fa00-4e34-8d6d-e9346f191717 · outbound

This paper cites A review of generalized zero-shot learning methods,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy A review of generalized zero-shot learning methods,

Reference 41

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Observation 48792131-49c1-4902-b16c-59e8bd08a134 · outbound

This paper cites EEG-CLIP : Learning EEG representations from natural language descriptions.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy EEG-CLIP : Learning EEG representations from natural language descriptions

Reference 42

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Observation 5b20fe38-9473-4017-b70a-d0a89d364654 · outbound

This paper cites Hypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video Understanding.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Hypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video Understanding

Reference 43

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verified exact
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Observation 6dfc0b9b-7356-48b2-9862-e288a863018e · outbound

This paper cites Generalizing from a Few Examples: A Survey on Few-Shot Learning.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Generalizing from a Few Examples: A Survey on Few-Shot Learning

Reference 44

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Observation 6a31f292-faeb-4fb3-ab69-0c29411aa423 · outbound

This paper cites A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities

Reference 45

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Observation 23b1cd37-a91c-46ec-a85b-905943aa8b97 · outbound

This paper cites EEG Emotion Copilot: Optimizing Lightweight LLMs for Emotional EEG Interpretation with Assisted Medical Record Generation.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy EEG Emotion Copilot: Optimizing Lightweight LLMs for Emotional EEG Interpretation with Assisted Medical Record Generation

Reference 46

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verified exact
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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation afa1a612-5ba7-4941-99b2-47d29c049ae1 · outbound

This paper cites Advancing semi-supervised eeg emotion recognition through feature extraction with mixup and large language models,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Advancing semi-supervised eeg emotion recognition through feature extraction with mixup and large language models,

Reference 47

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Source-reported events for the cited work

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Observation 257cbad3-0b04-4f07-a6a9-cb506a92d1a1 · outbound

This paper cites Classification of non-invasive eeg signals during motor imagery tasks using a large language model,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Classification of non-invasive eeg signals during motor imagery tasks using a large language model,

Reference 48

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Observation 5c891c4b-295f-4d56-bad9-9a0e65da5622 · outbound

This paper cites Deep representation learning for open vocabulary electroencephalography-to-text decod- ing,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Deep representation learning for open vocabulary electroencephalography-to-text decod- ing,

Reference 49

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8369882d-a82f-4022-899f-c6dec3b2f4c2 · outbound

This paper cites DeWave: Discrete EEG Waves Encoding for Brain Dynamics to Text Translation.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy DeWave: Discrete EEG Waves Encoding for Brain Dynamics to Text Translation

Reference 50

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Unavailable: canonical work link unavailable.

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Observation cea70ed8-eff0-4f3a-ba42-2a6efe7ee070 · outbound

This paper cites EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation

Reference 51

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Observation d927621e-721c-46cd-ab3f-9f0593c5220a · outbound

This paper cites EEG-Language Pretraining for Highly Label-Efficient Clinical Phenotyping.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy EEG-Language Pretraining for Highly Label-Efficient Clinical Phenotyping

Reference 52

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Observation 71f29f31-754c-4b45-8bb6-cd22d1389273 · outbound

This paper cites Eegunity: Open-source tool in facil- itating unified eeg datasets toward large-scale eeg model,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Eegunity: Open-source tool in facil- itating unified eeg datasets toward large-scale eeg model,

Reference 53

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Observation a82d1c00-b898-4655-b042-22ee72e24367 · outbound

This paper cites Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder

Reference 54

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Observation 33dd52c4-7179-4f1f-b19b-23f297765a6f · outbound

This paper cites Enhancing neural decoding with large language models: A gpt-based approach,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Enhancing neural decoding with large language models: A gpt-based approach,

Reference 55

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Observation 90c894b0-d015-4484-b3a4-abd7349aa01e · outbound

This paper cites Exploration of LLMs, EEG, and behavioral data to measure and support attention and sleep.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Exploration of LLMs, EEG, and behavioral data to measure and support attention and sleep

Reference 56

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Observation 1a9d9b67-a71a-439b-86cc-89f9bf10feba · outbound

This paper cites Exploring the diagnostic potential of llms in schizophrenia detection through eeg analy- sis,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Exploring the diagnostic potential of llms in schizophrenia detection through eeg analy- sis,

Reference 57

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Observation 51aebd9a-fc8b-453c-95e8-f882eb6d8ca4 · outbound

This paper cites From word embedding to reading embedding us- ing large language model, eeg and eye-tracking,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy From word embedding to reading embedding us- ing large language model, eeg and eye-tracking,

Reference 58

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Observation 8a3b223c-238c-49fb-9b1c-efa29695da5d · outbound

This paper cites Integrating LLM, EEG, and Eye-Tracking Biomarker Analysis for Word-Level Neural State Classification in Semantic Inference Reading Comprehension.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Integrating LLM, EEG, and Eye-Tracking Biomarker Analysis for Word-Level Neural State Classification in Semantic Inference Reading Comprehension

Reference 59

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Source-reported events for the cited work

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Observation 3e71fba0-4a8c-4ee0-b22a-102353cae31a · outbound

This paper cites Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 60

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Observation 01d46bf9-a2de-4907-8626-c5a8b9b48d1d · outbound

This paper cites Large Cognition Model: Towards Pretrained EEG Foundation Model.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Large Cognition Model: Towards Pretrained EEG Foundation Model

Reference 61

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Observation bf2d5f5a-32d2-4987-b0d8-d13a1f77fdcb · outbound

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

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Eegpt: Pretrained transformer for universal and reliable representation of eeg signals,

Reference 62

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Observation 30e8adf6-7c38-4d3d-badb-0486d18d7928 · outbound

This paper cites Leveraging large language models and fuzzy clus- tering for eeg report analysis,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Leveraging large language models and fuzzy clus- tering for eeg report analysis,

Reference 63

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Observation 4d2c8432-9537-4f5e-befb-50b6cadc55f8 · outbound

This paper cites Neuro-GPT: Towards A Foundation Model for EEG.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Neuro-GPT: Towards A Foundation Model for EEG

Reference 64

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Observation 8ec24332-9326-4765-9958-5b1b47e9a264 · outbound

This paper cites See: Semantically aligned eeg-to-text translation,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy See: Semantically aligned eeg-to-text translation,

Reference 65

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9b710374-b905-45e3-be07-ee2b571e9aa8 · outbound

This paper cites EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model

Reference 66

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1feda5a5-3a1b-41ff-b7bc-81ad1c747ec0 · outbound

This paper cites EEGTrans: Transformer- driven generative models for EEG synthesis,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy EEGTrans: Transformer- driven generative models for EEG synthesis,

Reference 67

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f2a7a9f5-6127-4e83-a7da-41b945448504 · outbound

This paper cites BrainGPT: Unleashing the Potential of EEG Generalist Foundation Model by Autoregressive Pre-training.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy BrainGPT: Unleashing the Potential of EEG Generalist Foundation Model by Autoregressive Pre-training

Reference 68

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Unavailable: canonical work link unavailable.

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Observation ef0ac3e6-a0a3-4f21-b1e7-00131c661bf6 · outbound

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

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Investigating critical frequency bands and channels for eeg-based emotion recognition with deep neural networks,

Reference 69

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e76d4505-002b-4a39-b88b-627bf4f98ff8 · outbound

This paper cites Emotionmeter: A multimodal framework for recognizing human emotions,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Emotionmeter: A multimodal framework for recognizing human emotions,

Reference 70

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 378f8129-f9e8-4f3c-8a1d-3c57bd15d458 · outbound

This paper cites ZuCo 2.0: A dataset of physiological recordings during natural reading and annotation,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy ZuCo 2.0: A dataset of physiological recordings during natural reading and annotation,

Reference 71

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verified fuzzy
raw_fallback, observed 2026-08-07T11:31:01.929214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:30:56.610124Z digest=sha256:9d53515ab4d4346f866d786696b9f9c7afbe7e087bc53ebe54c5c252b1559258

Observation 27647172-8a1e-4f42-9bee-1ac4591d6037 · outbound

This paper cites Deep learning human mind for automated visual classification,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Deep learning human mind for automated visual classification,

Reference 72

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verified fuzzy
raw_fallback, observed 2026-08-07T11:31:01.919274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:30:56.695537Z digest=sha256:4d6eb3a184d8a12c18753ccded397bc44deb54bde47afbafa604b3689d536677

Observation eace6ef2-207e-4404-af38-289538ef427b · outbound

This paper cites Decoding brain represen- tations by multimodal learning of neural activity and visual features,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Decoding brain represen- tations by multimodal learning of neural activity and visual features,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:01.909569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:30:56.760430Z digest=sha256:68e76962994f1000d4e933b402361ca82104debf3f8117ee08a419541f51bf33

Observation 62d9ef69-23bd-431f-b60e-dea7840dba94 · outbound

This paper cites Analysis of eeg structural synchrony in adolescents with schizophrenic disorders,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Analysis of eeg structural synchrony in adolescents with schizophrenic disorders,

Reference 74

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ba0bf300-0221-42d2-a15b-584e4c8f6682 · outbound

This paper cites Analysis of a sleep-dependent neu- ronal feedback loop: the slow-wave microcontinuity of the eeg,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Analysis of a sleep-dependent neu- ronal feedback loop: the slow-wave microcontinuity of the eeg,

Reference 75

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raw_fallback, observed 2026-08-07T11:31:01.900164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:30:56.885534Z digest=sha256:73dee572baa4d56931023bb04811ee5da6cb49f07f183ec2f79f9500f56c3bba

Observation a5450822-890f-491d-bc7b-17c3f83da292 · outbound

This paper cites The bci competition iii: validating alternative approaches to actual bci problems,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy The bci competition iii: validating alternative approaches to actual bci problems,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:01.891161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:30:56.976796Z digest=sha256:ec461fa4619a5d59e04e90dba3ad41419ea0c952f93830dc45cc632821bf5d57

Observation b4ef40fe-1b64-46da-8887-15b67854a48a · outbound

This paper cites The temple university hospital eeg data corpus,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy The temple university hospital eeg data corpus,

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T11:30:57.047236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:30:57.047236Z digest=sha256:7f23148fa6666f9b949dd142c939dc5d569bda5e9e4c23abc2a9c3a6d375d9b1

Observation b908ba96-8868-4be4-9db5-131d2d175d49 · outbound

This paper cites Automated identification of abnormal adult eegs,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Automated identification of abnormal adult eegs,

Reference 78

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T11:31:01.014648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:30:57.118722Z digest=sha256:0c0da78037e33c34af1fa3be38a35d4c3543822a450f1d8ba1eb762b3f4b2152

Observation 668f6b86-60bd-4060-a38c-1be5957f5990 · outbound

This paper cites The nmt scalp eeg dataset: An open-source annotated dataset of healthy and pathological eeg recordings for predictive modeling,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy The nmt scalp eeg dataset: An open-source annotated dataset of healthy and pathological eeg recordings for predictive modeling,

Reference 79

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T11:31:00.919385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:30:57.194756Z digest=sha256:7aeac6d92a575f10a6dbc2550b1e441eebb23fad6b79bc6d8b4993548f1d972d

Observation 7ef23434-3051-465f-9101-74bc9a7109a0 · outbound

This paper cites The temple university hospital seizure detec- tion corpus,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy The temple university hospital seizure detec- tion corpus,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:01.882178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:30:57.288014Z digest=sha256:061f4518aa93837b6286e77f42ff4f1cfdf4eb15355ff1eacff80782976bacca

Observation 6428d362-9f08-4c70-bf89-5a7157120580 · outbound

This paper cites Zuco, a simultaneous eeg and eye-tracking resource for natural sentence reading,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Zuco, a simultaneous eeg and eye-tracking resource for natural sentence reading,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:01.873026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:30:57.349558Z digest=sha256:07bc288597b8c8b95fdbd4d30fcd0cd4effae581882a48c682ec1b2903fd97db

Observation 667c8362-2695-4c18-ab8c-ee74cc5881d1 · outbound

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

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:01.863123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:30:57.421515Z digest=sha256:fe6aa97fa01c1e1df14770f56af9d5b89b9c5db78bf2c615e8e5aa7d79173e34

Observation 19d0e218-6731-4f2d-b5ea-51a64321a3bf · outbound

This paper cites A benchmark dataset for ssvep-based brain-computer interfaces,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy A benchmark dataset for ssvep-based brain-computer interfaces,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:01.854450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:30:57.500197Z digest=sha256:5fb9eb38564658803b3767bd698c4868fb7316e09606687d77777711fbfbf463

Observation b6fe7829-e03e-46e6-9a0c-2ecea873aeec · outbound

This paper cites Topological superconductivity in tripartite superconductor-ferromagnet-semiconductor nanowires.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Topological superconductivity in tripartite superconductor-ferromagnet-semiconductor nanowires

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-07T11:30:57.571305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:30:57.571305Z digest=sha256:c447567df7fc708c5b81089582334b1f259bc4e89e09188798b3e49f8d21ef82

Observation 32854dcd-c1ca-408f-8941-b89456d4c4ee · outbound

This paper cites Random forests in non-invasive sensorimotor rhythm brain-computer interfaces: a practical and convenient non-linear classifier,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Random forests in non-invasive sensorimotor rhythm brain-computer interfaces: a practical and convenient non-linear classifier,

Reference 85

Resolution
verified exact
doi, observed 2026-08-07T11:31:00.665775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:30:57.657396Z digest=sha256:9374837097a1661e8eb9909a9ee848d38015a7a59a6c8755dd5efb49274d832d

Observation 1a4d1f16-0346-4a4c-b9b8-23815dab400a · outbound

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

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Deep learning with convolutional neural networks for eeg decoding and visualization,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:01.845796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:30:57.749258Z digest=sha256:51517d89e8a126800c36c03f7b5c091bced206056671860dbd301b99e892ba12

Observation e4b3e948-3e84-459e-b0c2-9ec2d081bb27 · outbound

This paper cites M3cv:a multi-subject, multi-session, and multi-task database for eeg- based biometrics challenge,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy M3cv:a multi-subject, multi-session, and multi-task database for eeg- based biometrics challenge,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:01.836383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:30:57.861163Z digest=sha256:843583d194e45d05003461fe6053c496166f185e58b4f7d619f1be2020fa6af8

Observation a8714ded-7411-49c0-b3a9-529c06745468 · outbound

This paper cites Objective and subjective evaluation of online error correction during p300-based spelling,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Objective and subjective evaluation of online error correction during p300-based spelling,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:01.827276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:30:57.937320Z digest=sha256:4e1e58319b1513842feb21a4f181109aaaf0654e711e5ab6db4423a680b12a1a

Observation b047ebe4-c970-4510-bb30-f07233c98495 · outbound

This paper cites Physiobank, physiotoolkit, and physionet,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Physiobank, physiotoolkit, and physionet,

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-07T11:30:58.235888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:30:58.235888Z digest=sha256:c2c631696d1683fd79e100dfe745abcb71cccb8d301f49d9bfa9149461fd409b

Observation a6a5a189-687a-41ad-9175-c62c8535b828 · outbound

This paper cites Deap: A database for emotion analysis ;using physiological signals,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Deap: A database for emotion analysis ;using physiological signals,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:01.818304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:30:58.342667Z digest=sha256:805394a44ccde4a8706b5c651aa7eb535537a7093ba751f163820d6f8981fcdf

Observation ecda143e-65dc-4a70-9865-569dfa52615c · outbound

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

Large Language Models for EEG: A Comprehensive Survey and Taxonomy A large finer-grained affective computing eeg dataset,

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-07T11:30:58.473850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:30:58.473850Z digest=sha256:69728f1d553429c6d20829e237b28c54ac457a13f36c5951811133a92e42f958

Observation c4679990-dcef-45b3-b14c-a5f991a459de · outbound

This paper cites Com- paring recognition performance and robustness of multimodal deep learning models for multimodal emotion recognition,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Com- paring recognition performance and robustness of multimodal deep learning models for multimodal emotion recognition,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:01.809033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:30:58.659322Z digest=sha256:754a4f07f0253a7eb653d0606298a49d12e23fa67a8780383b9a61a0296a2bf3

Observation db976b3d-d9c7-404a-8c78-2df9dfa5352f · outbound

This paper cites Eeg datasets for motor imagery brain–computer interface,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Eeg datasets for motor imagery brain–computer interface,

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-07T11:30:58.776087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:30:58.776087Z digest=sha256:82906d821b0d02b32acc1a537599d44cefc8d17b4fe9013e4726f0f28ba0f7ee

Observation 6348163e-5f0a-41b6-a988-ca9cf76d9b50 · outbound

This paper cites Electroencephalo- grams during mental arithmetic task performance,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Electroencephalo- grams during mental arithmetic task performance,

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:01.799908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:30:58.950437Z digest=sha256:666380897b968cb85aa4cdf3c6bc6cd74eaaa218bc21b37ff281a8b80aa5bae2

Observation 2d5061f0-4a9a-4cd8-ae70-30efcaaca09a · outbound

This paper cites Stew: Simul- taneous task eeg workload data set,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Stew: Simul- taneous task eeg workload data set,

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:01.789801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:30:59.096995Z digest=sha256:16218ea7970f55f6b1cecd30c1aec0aa7e3f522c9c941b3b2d0c0099e62732f3

Observation c50358aa-1d37-47a2-90dc-c0d8c23f895c · outbound

This paper cites Haaglan- den medisch centrum sleep staging database (ver- sion 1.1),.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Haaglan- den medisch centrum sleep staging database (ver- sion 1.1),

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-07T11:30:59.218976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:30:59.218976Z digest=sha256:2acf7ffc92554270ab5452c635b1e66c91a8efbb15211b3eb2880086d78f2daf

Observation 3e142242-1be9-4818-bfba-8f3fcff0adad · outbound

This paper cites Inferring imagined speech using eeg signals: a new approach using riemannian manifold features,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Inferring imagined speech using eeg signals: a new approach using riemannian manifold features,

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-07T11:30:59.346673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:30:59.346673Z digest=sha256:5555cf9e70e722d3294653ca185c8f64e9a925deaa73359b522c2cf684d60afb

Observation 15bde8a6-0ead-4c5e-b45d-2aa6686ab49e · outbound

This paper cites Generative adversarial networks: An overview,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Generative adversarial networks: An overview,

Reference 98

Resolution
malformed identifier
no resolver link, observed 2026-08-07T11:30:59.473736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:30:59.473736Z digest=sha256:55ebc3b20b5290e7e84ca66c3d73fae4fdbc5de29b69ae628590985746fcb708

Observation 9af6b6b9-a52d-494d-91a1-c9a445fee1e9 · outbound

This paper cites Generative adversarial networks,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Generative adversarial networks,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:01.780686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:30:59.646527Z digest=sha256:9119a31706fc46f100f432d8f9ab1c28c1f678672a14f839290ecf2620bc7e8a

Observation 37cb464b-43e0-475a-821c-bdb246a6b795 · outbound

This paper cites Recent progress on generative adversarial networks (gans): A survey,.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Recent progress on generative adversarial networks (gans): A survey,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:01.771764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:30:59.978628Z digest=sha256:5d3636919d636e548fd711506b908e97932901f544488c73993b3924cd64dd2b

Pith citing papers

No inbound Pith citation observations are available.