Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:14:57.869881Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 2 inbound Pith citation observations for arXiv:2504.21214.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:14:57.869881Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:28:10.828516Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T15:28:11.599049Z
65 of 65 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation f1abb9c1-2a0c-43b8-b836-119fa6fc9c3f · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Comprehensive evaluation methods for translating bci into practical applications: usability, user satisfaction and usage of online bci systems
Reference 1
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Pretraining Large Brain Language Model for Active BCI: Silent Speech Brain–computer interfaces
Reference 2
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Pretraining Large Brain Language Model for Active BCI: Silent Speech Progress in brain computer interface: Challenges and opportunities
Reference 3
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Observation 9c55f242-8c15-4bf8-9c4c-dfb03e0f246f · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Theoretical perspective on an ideomotor brain-computer interface: toward a naturalistic and non-invasive brain-computer interface paradigm based on action- effect representation
Reference 4
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Pretraining Large Brain Language Model for Active BCI: Silent Speech A benchmark dataset for ssvep-based brain–computer interfaces
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Pretraining Large Brain Language Model for Active BCI: Silent Speech Motor imagery and direct brain-computer communication
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Observation 0bf5fe81-6dd1-423f-9829-927220f147c2 · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Imagined speech can be decoded from low-and cross-frequency intracranial eeg features
Reference 10
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Observation 4933ded2-8f0e-4869-8c14-df5bb29d4dcf · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech A continuous semantic space describes the representation of thousands of object and action categories across the human brain
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Observation 2f507451-de27-4fdb-b646-8a333835b5ba · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Decoding the genetics of speech and language
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Pretraining Large Brain Language Model for Active BCI: Silent Speech Open vocabulary electroencephalography-to- text decoding and zero-shot sentiment classification
Reference 13
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Observation 14394dff-e713-4e97-a6e2-e0a141d91cff · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Dewave: Discrete encoding of eeg waves for eeg to text translation
Reference 14
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Pretraining Large Brain Language Model for Active BCI: Silent Speech Decoding speech perception from non-invasive brain recordings
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Observation e6bdff13-a661-4253-98dd-bae5abbd1448 · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Imagined speech event detection from electrocorticography and its transfer between speech modes and subjects
Reference 16
Source-reported events for the cited work
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Observation 069b5706-5290-4beb-a7e8-2b5e522fc4e5 · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Transformation of speech sequences in human sensorimotor circuits
Reference 17
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Observation 4dfb0ba8-72e5-4179-acb1-03dfcfc736b7 · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech The auditory representation of speech sounds in human motor cortex
Reference 18
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Observation 04b04c13-6ff3-446c-98fb-59970a0070db · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Electrophysiological correlates of semantic dissim- ilarity reflect the comprehension of natural, narrative speech
Reference 19
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Pretraining Large Brain Language Model for Active BCI: Silent Speech Hierarchical structure guides rapid lin- guistic predictions during naturalistic listening
Reference 20
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Observation ea695d5c-dd15-454b-98e5-63bbfb227617 · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Zuco, a simultaneous eeg and eye-tracking resource for natural sentence reading
Reference 21
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Observation 77486f82-66d4-45a5-b1a1-da356d888dec · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Single- trial classification of vowel speech imagery using common spatial patterns.Neural networks, 22(9):1334–1339, 2009
Reference 22
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Pretraining Large Brain Language Model for Active BCI: Silent Speech Thinking out loud, an open-access eeg-based bci dataset for inner speech recognition
Reference 23
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Observation 7d00f998-69e1-4323-afba-84e48b4f1046 · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Classifying phonological categories in imagined and articulated speech
Reference 24
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Observation 4cf2b70a-1b07-415e-984a-49386db54937 · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Decoding speech perception from non-invasive brain recordings
Reference 25
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Observation f9c8b709-2c7c-47cb-bc05-16f2d667c859 · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech BELT-2: Bootstrapping EEG-to-Language representation alignment for multi-task brain decoding
Reference 26
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Observation 5da397b3-562e-4e27-b343-e09fc479eb59 · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI
Reference 27
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Observation 190f9feb-f794-451a-8070-1e3852f0db3f · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Eegpt: Pretrained transformer for universal and reliable representation of eeg signals
Reference 28
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Observation 2f4e647c-6555-46c9-a494-7d282b5559e2 · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Natural scene statistics account for the representation of scene categories in human visual cortex.Neuron, 79(5):1025–1034, 2013
Reference 29
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Observation d87aa1ec-f815-4524-847e-7b48d46a5fad · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Decoding covert speech for intuitive control of brain-computer interfaces based on single-trial eeg: a feasibility study
Reference 30
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Pretraining Large Brain Language Model for Active BCI: Silent Speech Eeg classifi- cation of imagined syllable rhythm using hilbert spectrum methods
Reference 31
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Pretraining Large Brain Language Model for Active BCI: Silent Speech Evaluation of hyperparameter optimization in machine and deep learning methods for decoding imagined speech eeg
Reference 34
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Observation d97ef5fb-e42b-4cba-8ed6-63b84ce2666f · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Are EEG-to-Text Models Working?
Reference 35
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Observation 5a331dc7-2cf0-4902-8866-72ac85a61312 · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Towards linguistic neural representation learning and sentence retrieval from electroencephalogram recordings
Reference 36
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Observation f5eb539d-9589-4cfe-b732-49b85246e766 · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Temporal convolutional neural (tcn) network for an effective weather forecasting using time-series data from the local weather station
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Observation b52ebfbb-0719-4b73-88a5-48a0b19a158c · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Reference 38
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Observation 8e232fad-5d3e-4fd7-9de4-06422da3cecd · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Deepar: Probabilistic forecasting with autoregressive recurrent networks
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Observation ada7d329-1ad9-40a3-b00c-822832c28425 · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Temporal fusion transformers for interpretable multi-horizon time series forecasting.International Journal of Forecasting, 37(4):1748–1764, 2021
Reference 40
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Observation bb04809c-7df6-49eb-8bb3-a992dd0c3088 · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
Reference 41
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Observation 3198c2d7-fbad-4ec5-991e-31c9c9882944 · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech A decoder-only foundation model for time-series forecasting
Reference 42
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Observation 583f5565-4ba5-479c-8e37-70e34df03b41 · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Attention is all you need
Reference 43
Source-reported events for the cited work
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Observation c06933bf-c638-48a4-bc5d-18da64b3c0dd · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Conformer: Convolution-augmented Transformer for Speech Recognition
Reference 44
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Observation 2181b9e0-0e43-4bcf-8179-91a79df59eb0 · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Adding conditional control to text-to-image diffusion models
Reference 45
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Pretraining Large Brain Language Model for Active BCI: Silent Speech Informer: Beyond efficient transformer for long sequence time-series forecasting
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Reference 47
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Observation 9c8a815c-225f-4df7-aca2-a37ea8b71881 · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech On a continuous time model of gradient descent dynamics and instability in deep learning.Transactions on Machine Learning Research
Reference 48
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Reference 49
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Observation a0540dae-24e9-4cbf-b0ab-b544057c177d · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Generalized Huber Loss for Robust Learning and its Efficient Minimization for a Robust Statistics
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Pretraining Large Brain Language Model for Active BCI: Silent Speech Automatic feature extraction and fusion recognition of motor imagery eeg using multilevel multiscale cnn
Reference 51
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Pretraining Large Brain Language Model for Active BCI: Silent Speech Eeg-tcnet: An accurate temporal convolutional network for embedded motor-imagery brain–machine interfaces
Reference 52
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Pretraining Large Brain Language Model for Active BCI: Silent Speech Fast and accurate multiclass inference for mi-bcis using large multiscale temporal and spectral features
Reference 53
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Pretraining Large Brain Language Model for Active BCI: Silent Speech Local temporal common spatial patterns for robust single-trial eeg classification
Reference 54
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Pretraining Large Brain Language Model for Active BCI: Silent Speech Eegnet: a compact convolutional neural network for eeg-based brain–computer interfaces
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Pretraining Large Brain Language Model for Active BCI: Silent Speech Reversible instance normalization for accurate time-series forecasting against distribution shift
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Pretraining Large Brain Language Model for Active BCI: Silent Speech Eeg con- former: Convolutional transformer for eeg decoding and visualization
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Pretraining Large Brain Language Model for Active BCI: Silent Speech Transformer-based Spatial-Temporal Feature Learning for EEG Decoding
Reference 58
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Pretraining Large Brain Language Model for Active BCI: Silent Speech NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
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Pretraining Large Brain Language Model for Active BCI: Silent Speech Predicting Human Brain States with Transformer
Reference 60
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Pretraining Large Brain Language Model for Active BCI: Silent Speech A decoder-only foun- dation model for time-series forecasting
Reference 61
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Pretraining Large Brain Language Model for Active BCI: Silent Speech Large Batch Optimization for Deep Learning: Training BERT in 76 minutes
Reference 62
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Observation 711428a3-e4d0-4e45-9a2c-29db1c46a1aa · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech The dependence of electrode impedance on the number of performed eeg examinations
Reference 63
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Pretraining Large Brain Language Model for Active BCI: Silent Speech Identification of perceived sentences using deep neural networks in eeg
Reference 64
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Observation 88a368fd-acef-4c1a-9155-4b5dbdafca2b · outbound
Pretraining Large Brain Language Model for Active BCI: Silent Speech Eeglab: an open source toolbox for analysis of single-trial eeg dynamics including independent component analysis
Reference 65
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Observation 2a3a4cb0-2d27-4169-b75a-94f10915a452 · inbound
Learning Interpretable Representations Leads to Semantically Faithful EEG-to-Text Generation Pretraining Large Brain Language Model for Active BCI: Silent Speech
Reference 56
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Observation 72715798-9382-49ef-9d12-21215924e7c3 · inbound
Escaping the BLEU Trap: A Signal-Grounded Framework with Decoupled Semantic Guidance for EEG-to-Text Decoding Pretraining Large Brain Language Model for Active BCI: Silent Speech
Reference 47
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