Paper Citation Record · LEDGER

Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 37 inbound Pith citation observations for arXiv:2405.18765.

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

pith.paper-citation-record.v1
2405.18765 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 37 of 37 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:14:48.750944Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T01:07:41.938115Z

Reference resolution

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 09a712c6-ec78-454a-9f3e-80ffe084424f · inbound

An Efficient Self-Supervised Framework for Long-Sequence EEG Modeling cites this paper.

An Efficient Self-Supervised Framework for Long-Sequence EEG Modeling Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T02:32:25.761106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b95ba7e6-0579-4cb0-bbdb-c9b38a959ea5 · inbound

Neuroprobe: Evaluating Intracranial Brain Responses to Naturalistic Stimuli cites this paper.

Neuroprobe: Evaluating Intracranial Brain Responses to Naturalistic Stimuli Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:41:26.005148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ba6041e2-39b8-457d-927d-c7cf963dcc59 · 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 Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 89

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Source-reported events for the cited work

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Observation 69551d9f-2094-4bf2-964d-5a938fb33def · inbound

NAPS: Attention-Based Fusion of Heterogeneous Physiological Signals cites this paper.

NAPS: Attention-Based Fusion of Heterogeneous Physiological Signals Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:22:15.646459Z

Source-reported events for the cited work

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Observation f87baba3-8f52-4e7d-ac0d-6229e4d4e2ff · inbound

fMRI-LM: Towards a Universal Foundation Model for Language-Aligned fMRI Understanding cites this paper.

fMRI-LM: Towards a Universal Foundation Model for Language-Aligned fMRI Understanding Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:39:06.228766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5ce1ef08-7e13-4e31-b27f-867ae8ae102e · inbound

Benchmarking ERP Analysis: Manual Features, Deep Learning, and Foundation Models cites this paper.

Benchmarking ERP Analysis: Manual Features, Deep Learning, and Foundation Models Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T18:38:15.926688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7559ddae-3037-485d-9b63-b47faf91f1bb · 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 Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:20:28.718100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 27a868b2-d3ec-4f29-90e0-51b3abeb3960 · inbound

Escaping the BLEU Trap: A Signal-Grounded Framework with Decoupled Semantic Guidance for EEG-to-Text Decoding cites this paper.

Escaping the BLEU Trap: A Signal-Grounded Framework with Decoupled Semantic Guidance for EEG-to-Text Decoding Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 14

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Source-reported events for the cited work

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Observation 66773db7-b06b-457d-8d66-0172f5ce83e6 · inbound

Bridging scalp and intracranial EEG in BCI via pretrained neural representations and geometric constraint embedding cites this paper.

Bridging scalp and intracranial EEG in BCI via pretrained neural representations and geometric constraint embedding Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:23:06.469415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 25ec1314-57cd-4e8e-b757-d7e65af96458 · inbound

OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens cites this paper.

OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:51:04.534370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 04a62a6b-1211-4745-8ea1-85a514a5c123 · inbound

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

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:26:13.488021Z

Source-reported events for the cited work

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Observation b2cd2423-3837-4b28-8503-cfed794be627 · inbound

LLM as Clinical Graph Structure Refiner: Enhancing Representation Learning in EEG Seizure Diagnosis cites this paper.

LLM as Clinical Graph Structure Refiner: Enhancing Representation Learning in EEG Seizure Diagnosis Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:11:27.732005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 796788f4-2d36-4fbc-9e98-f2a1515fc3ad · inbound

PRISM-CTG: A Foundation Model for Cardiotocography Analysis with Multi-View SSL cites this paper.

PRISM-CTG: A Foundation Model for Cardiotocography Analysis with Multi-View SSL Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:01:09.130449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a8ddbb57-49fb-4a1a-b24f-1faa6f9ab672 · inbound

Pretraining Induces a Reusable Spectral Basis for Downstream Task Adaptation cites this paper.

Pretraining Induces a Reusable Spectral Basis for Downstream Task Adaptation Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:40:51.662040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 64e1a379-eb92-47e0-a37f-7b3f38f2ab75 · inbound

CORTEG: Foundation Models Enable Cross-Modality Representation Transfer from Scalp to Intracranial Brain Recordings cites this paper.

CORTEG: Foundation Models Enable Cross-Modality Representation Transfer from Scalp to Intracranial Brain Recordings Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:56:28.045035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 90edf806-94d0-405c-9ed2-d99a2b227199 · inbound

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces cites this paper.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:15:04.416544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6f77d970-54de-443b-8bae-67023bb84e88 · 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 Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:28:12.537676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation aed6bf23-45d6-4dc6-aae3-2bc14f9e29e2 · 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 Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:55:00.738325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dfa7f840-918e-4ed1-9d68-6c461746fb8f · inbound

Let EEG Models Learn EEG cites this paper.

Let EEG Models Learn EEG Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:13:58.372861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b37ed3bc-1a25-4631-bacf-6fbe731ea732 · 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 Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:43:24.164623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6d344d7e-03e3-4432-b070-2076e5134c31 · inbound

MyoSem: Aligning Electromyography to Natural-Language Action Semantics for Hand Action Understanding cites this paper.

MyoSem: Aligning Electromyography to Natural-Language Action Semantics for Hand Action Understanding Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T22:42:46.341704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5ab8b55e-c489-4d55-914a-68d4224ccc8d · 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 Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T23:16:23.867335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8bdab70a-0018-4d72-bfd7-7c8697c1ae48 · inbound

Channel-Oriented Design for EEG-to-Music Reconstruction cites this paper.

Channel-Oriented Design for EEG-to-Music Reconstruction Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-02T04:36:36.397772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e0bdc932-677f-4ebe-a4d2-42ddca65a823 · inbound

Next-Token Prediction Learns Generalisable Representations of Sleep Physiology cites this paper.

Next-Token Prediction Learns Generalisable Representations of Sleep Physiology Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T16:51:06.239620Z

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Observation 7641c740-2265-48e3-9660-6fe2d04eebca · inbound

BrainJanus: A Unified Model for Understanding and Generation across Brain, Vision, and Language cites this paper.

BrainJanus: A Unified Model for Understanding and Generation across Brain, Vision, and Language Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:54:21.152017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c548f608-82a4-41a8-97c6-07cbbf3b2913 · inbound

Device Passport: Enabling Spatio-Temporal Pretrained Models to Generalize Across Input Layouts cites this paper.

Device Passport: Enabling Spatio-Temporal Pretrained Models to Generalize Across Input Layouts Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:37:18.456086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 53be173d-b3d9-4e6c-b309-ec353ced45ce · inbound

MindAU: EEG-Conditioned Facial Action Unit Editing via Dual-Stream Manifold Alignment cites this paper.

MindAU: EEG-Conditioned Facial Action Unit Editing via Dual-Stream Manifold Alignment Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:27:04.633919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c6004908-2e2b-466c-82ba-4a27374feab3 · inbound

I\textsuperscript{2}RiMA: Spectral Riemannian Representation with Temporal Attention for Mental Stress Detection based on EEG Signals cites this paper.

I\textsuperscript{2}RiMA: Spectral Riemannian Representation with Temporal Attention for Mental Stress Detection based on EEG Signals Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:48:58.943969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 08af05d8-ccce-49d0-9cc6-7203541f459e · inbound

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition cites this paper.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-11T21:25:04.813061Z

Source-reported events for the cited work

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Observation aa4df409-ea0e-4883-affa-a70248a06144 · inbound

Physiological Noise Augmentation Improves Non-Invasive Brain-to-Speech cites this paper.

Physiological Noise Augmentation Improves Non-Invasive Brain-to-Speech Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-08T01:44:26.282889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f73d387c-3c73-4a75-a691-2457e9f876b3 · inbound

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning cites this paper.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T01:07:41.961884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 915b3628-c33c-4123-be13-a28f866c1ff1 · inbound

Differentiable Logic Gate Networks for Low-Latency EEG Classification on Edge Devices cites this paper.

Differentiable Logic Gate Networks for Low-Latency EEG Classification on Edge Devices Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:44.031741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 936ee19b-a937-43ba-8464-8c3444b5b543 · inbound

Cross-Cohort Spectral-Temporal Dissociation in Frozen EEG Foundation-Model Representations cites this paper.

Cross-Cohort Spectral-Temporal Dissociation in Frozen EEG Foundation-Model Representations Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T06:58:35.017562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dd03c17-2ac4-4224-a208-413d909a43a4 · inbound

Cross-Cohort Spectral-Temporal Dissociation in Frozen EEG Foundation-Model Representations cites this paper.

Cross-Cohort Spectral-Temporal Dissociation in Frozen EEG Foundation-Model Representations Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T01:38:52.538509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96574c89-cfac-4cc3-aa03-4e6290eb8a23 · inbound

Joint Text-Audio Alignment for EEG-to-Text Decoding in Chinese Speech Production and Perception cites this paper.

Joint Text-Audio Alignment for EEG-to-Text Decoding in Chinese Speech Production and Perception Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T01:56:05.637009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 506c55fe-28ad-49c5-9833-d72cadc97b20 · inbound

ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution cites this paper.

ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 267

Resolution: unresolved; no resolver link, observed 2026-08-01T09:52:16.984595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 878aa908-f985-485e-9534-474e484d9777 · inbound

Technological Advances in Detecting and Managing Cognitive Impairment in Older Adults: Trends, Challenges, and Future Directions cites this paper.

Technological Advances in Detecting and Managing Cognitive Impairment in Older Adults: Trends, Challenges, and Future Directions Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T00:43:50.242781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.