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Paper Citation Record · LEDGER

Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2106.11170.

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

pith.paper-citation-record.v1
2106.11170 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:50:12.796825Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:09:42.921588Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9bb7e892-0d7b-4a81-bfb2-dce1dbe9f06b · inbound

Tokenizing Single-Channel EEG with Time-Frequency Motif Learning cites this paper.

Tokenizing Single-Channel EEG with Time-Frequency Motif Learning Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 10

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arxiv_id, observed 2026-05-23T01:52:22.910681Z

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 415ff16e-e0be-421e-9bce-4db974422443 · inbound

CodeBrain: Bridging Decoupled Tokenizer and Multi-Scale Architecture for EEG Foundation Model cites this paper.

CodeBrain: Bridging Decoupled Tokenizer and Multi-Scale Architecture for EEG Foundation Model Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 80

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arxiv_id, observed 2026-05-19T10:17:16.325943Z

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 4081e12a-51b2-4ba7-b054-c561e77d8bd5 · inbound

CRIA: A Cross-View Interaction and Instance-Adapted Pre-training Framework for Generalizable EEG Representations cites this paper.

CRIA: A Cross-View Interaction and Instance-Adapted Pre-training Framework for Generalizable EEG Representations Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 51

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no resolver link, observed 2026-08-06T23:50:12.796825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1ef505db-bf44-40eb-a960-9d58611cbe0f · inbound

UniMind: Unleashing the Power of LLMs for Unified Multi-Task Brain Decoding cites this paper.

UniMind: Unleashing the Power of LLMs for Unified Multi-Task Brain Decoding Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 17

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arxiv_id, observed 2026-05-19T07:47:10.351703Z

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 17cd44db-387e-4371-b5b8-00716c55bd5c · inbound

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding cites this paper.

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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no resolver link, observed 2026-08-06T21:56:06.947896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:06.947896Z digest=sha256:dda772fb91d6fe738477cdc49b9e19eb79a88eaa4582726b5d9d8d58b9bdada6

Observation b949d3a8-b46d-4fa9-89ef-c87ce63f7f75 · inbound

AdaBrain-Bench: Benchmarking Brain Foundation Models for Brain-Computer Interface Applications cites this paper.

AdaBrain-Bench: Benchmarking Brain Foundation Models for Brain-Computer Interface Applications Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 27

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no resolver link, observed 2026-08-06T17:49:29.319438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9d24aef8-7df1-4b84-80ba-415b8e24912a · inbound

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding cites this paper.

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 25

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no resolver link, observed 2026-08-06T17:05:08.107079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:05:08.107079Z digest=sha256:8e018543b2e6560e36770a2ca93b323f4e59ff474f7118fd55270b7701c19bfa

Observation 6684542f-96a4-4260-8b29-254347cb709c · inbound

Dynamic Survival Prediction using Longitudinal Images based on Transformer cites this paper.

Dynamic Survival Prediction using Longitudinal Images based on Transformer Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 48

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no resolver link, observed 2026-08-05T21:09:44.015507Z

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Unavailable: canonical work link unavailable.

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Observation a569758b-ae41-439a-8892-f04a4f26d9ee · inbound

BEAM: Brainwave Empathy Assessment Model for Early Childhood cites this paper.

BEAM: Brainwave Empathy Assessment Model for Early Childhood Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 17

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unresolved
no resolver link, observed 2026-08-04T23:26:41.344661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6fe824d9-7ec8-4e85-8481-102d6f0dad9f · inbound

NeuroWeaver: An Autonomous Evolutionary Agent for Exploring the Programmatic Space of EEG Analysis Pipelines cites this paper.

NeuroWeaver: An Autonomous Evolutionary Agent for Exploring the Programmatic Space of EEG Analysis Pipelines Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 15

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arxiv_id, observed 2026-05-25T07:20:28.727868Z

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 1b6dc96c-3f06-4ce7-ab91-5aa0f5bdef4f · 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 Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 10

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arxiv_id, observed 2026-05-21T11:30:02.482328Z

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 4882706f-3737-4d8d-92f6-a2e87b98695f · inbound

Task-guided Spatiotemporal Network with Diffusion Augmentation for EEG-based Dementia Diagnosis and MMSE Prediction cites this paper.

Task-guided Spatiotemporal Network with Diffusion Augmentation for EEG-based Dementia Diagnosis and MMSE Prediction Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 8

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arxiv_id, observed 2026-05-11T21:41:14.704281Z

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 9053e307-07a6-4498-95c5-8c40634e2485 · inbound

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation cites this paper.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 30

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arxiv_id, observed 2026-05-11T23:26:13.505501Z

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 d9e22069-f737-4356-ba5b-ddc67455d8de · 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 Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 60

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verified exact
arxiv_id, observed 2026-05-20T01:07:54.614092Z

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=2026-05-20T01:06:50.375142Z digest=sha256:15b7e1f857826661a7dc695e137b74a8fc1a5ee5cd2dbb5c9022980d4c1f48db

Observation 652e4d69-f15a-4f07-86fd-65b0366e8c18 · inbound

Visualizing the Invisible: Generative Visual Grounding Empowers Universal EEG Understanding in MLLMs cites this paper.

Visualizing the Invisible: Generative Visual Grounding Empowers Universal EEG Understanding in MLLMs Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 40

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verified exact
arxiv_id, observed 2026-05-20T10:28:12.516951Z

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 ffd66bd4-9dd4-483a-9581-be5bdcd85d9e · inbound

Visualizing the Invisible: Generative Visual Grounding Empowers Universal EEG Understanding in MLLMs cites this paper.

Visualizing the Invisible: Generative Visual Grounding Empowers Universal EEG Understanding in MLLMs Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 40

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verified exact
arxiv_id, observed 2026-06-30T18:55:00.721384Z

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 ab06fa7d-5460-41f3-9fa1-44ef116e65b6 · inbound

DARE-EEG: A Foundation Model for Mining Dual-Aligned Representation of EEG cites this paper.

DARE-EEG: A Foundation Model for Mining Dual-Aligned Representation of EEG Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 37

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arxiv_id, observed 2026-05-20T10:08:12.344062Z

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 74f86851-4425-4033-bc42-a0fdf4be030a · 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 Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 36

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arxiv_id, observed 2026-06-29T18:23:50.469494Z

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 8ffe7a78-af47-43fb-b145-3ebf1e64da12 · inbound

CaMBRAIN: Real-time, Continuous EEG Inference with Causal State Space Models cites this paper.

CaMBRAIN: Real-time, Continuous EEG Inference with Causal State Space Models Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 35

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verified exact
arxiv_id, observed 2026-06-29T11:43:24.158810Z

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 3159e389-ddef-40f1-a2cd-839559f0ee6d · 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 Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 35

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arxiv_id, observed 2026-07-01T23:16:23.820673Z

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 1ed066fc-bb3c-428a-8024-3e380bf3b937 · inbound

Transformer Based Model for Spatiotemporal Feature Learning in EEG Emotion Recognition cites this paper.

Transformer Based Model for Spatiotemporal Feature Learning in EEG Emotion Recognition Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 45

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arxiv_id, observed 2026-07-03T04:07:36.938190Z

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 f11b49b2-6bcd-4157-a797-ea90571b7d24 · inbound

B[FM]$^2$: Brain Foundation Model via Flow Matching with SplitUNet cites this paper.

B[FM]$^2$: Brain Foundation Model via Flow Matching with SplitUNet Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 3

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verified exact
arxiv_id, observed 2026-07-04T03:09:30.338496Z

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 abd8549a-4fd4-44b8-b003-fe786c878191 · inbound

Foundation Models for Epileptogenic Zone Identification in Drug-Resistant Epilepsy cites this paper.

Foundation Models for Epileptogenic Zone Identification in Drug-Resistant Epilepsy Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 39

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verified exact
arxiv_id, observed 2026-07-04T09:09:42.923258Z

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=2026-06-26T10:32:06.520328Z digest=sha256:89120b97e62d1261f3f03e2a8625b27d587e14a5e989474f81621c0faf8ac3ae

Observation d9d8bd5e-0295-49a5-b010-cfb61ba596ce · inbound

DiffEEG: A Self-Supervised Denoising Diffusion Model for Learning EEG Generic Representations cites this paper.

DiffEEG: A Self-Supervised Denoising Diffusion Model for Learning EEG Generic Representations Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1b1fac2c-1111-4cc4-8c9a-e348a07d0fc2 · inbound

MSBraM: A Multi-scale Self-supervised Brain Foundation Model for Hierarchical EEG Dynamics Learning cites this paper.

MSBraM: A Multi-scale Self-supervised Brain Foundation Model for Hierarchical EEG Dynamics Learning Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 95176775-4b36-4f71-b7f8-78e07a6d1f34 · inbound

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes cites this paper.

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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