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Paper Citation Record · LEDGER

BrainBERT: Self-supervised representation learning for intracranial recordings

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2302.14367.

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

pith.paper-citation-record.v1
2302.14367 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:20:12.572626Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

14
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c3bf7e7d-44b3-4dda-8bf8-11821535c803 · inbound

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics cites this paper.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics BrainBERT: Self-supervised representation learning for intracranial recordings

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T14:02:00.019197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:02:00.019197Z digest=sha256:5cbe241818a3b52489eaf5227676aa19c7d83698236f3e872e6cf43320ed99c6

Observation 06043630-9401-4442-818c-30bc6ae429c4 · inbound

Neuro2Semantic: A Transfer Learning Framework for Semantic Reconstruction of Continuous Language from Human Intracranial EEG cites this paper.

Neuro2Semantic: A Transfer Learning Framework for Semantic Reconstruction of Continuous Language from Human Intracranial EEG BrainBERT: Self-supervised representation learning for intracranial recordings

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T12:11:11.314976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:11:11.314976Z digest=sha256:26d2fc340b48235c35056884d7894c84aa9bef9d21fd037ec057813fc52a7525

Observation b42b05dc-0235-4b88-8e16-a759acfade8f · 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 BrainBERT: Self-supervised representation learning for intracranial recordings

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T23:50:10.250404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:50:10.250404Z digest=sha256:0a44ec1ae59e7d737c3c83e608d19647846baf00d4bc818e5a5db6ccb1eac145

Observation 4a3774f7-9e91-407d-83dd-619aa02d0d7f · inbound

Cross-Modal Epileptic Signal Harmonization: Frequency Domain Mapping Quantization for Pre-training a Unified Neurophysiological Transformer cites this paper.

Cross-Modal Epileptic Signal Harmonization: Frequency Domain Mapping Quantization for Pre-training a Unified Neurophysiological Transformer BrainBERT: Self-supervised representation learning for intracranial recordings

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T19:20:12.572626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:20:12.572626Z digest=sha256:7112d469a79ab90994272b3453a272319771a3ef86a9978bb56f81cdae01dcb8

Observation f96d9342-4512-49ae-ac27-51e11accebf8 · 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 BrainBERT: Self-supervised representation learning for intracranial recordings

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-06T21:56:13.509974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:13.509974Z digest=sha256:c45e21d628fcfb815b28664d606688395a829d2b5d8317ed347ce8ed5f8a6ae5

Observation 57384415-d9be-48d8-880a-a6235203b31c · inbound

Transformer-based EEG Decoding: A Survey cites this paper.

Transformer-based EEG Decoding: A Survey BrainBERT: Self-supervised representation learning for intracranial recordings

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T20:35:54.981180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:35:54.981180Z digest=sha256:6e63633e4834a303e8d510cd37ebd0122210e72d3ba7d8ede34bcd0c31682374

Observation 9c0fa6d6-637d-446e-916a-3dcfd43fd0e0 · 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 BrainBERT: Self-supervised representation learning for intracranial recordings

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-21T11:30:02.453577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T11:28:57.181268Z digest=sha256:e69d6f5a9942557d0193833c0fd9ee87a36db50fcc83774a5c2d20ed5faa4b5d

Observation 0d9db87f-4111-4ac3-80a7-1e2a8b00da04 · inbound

BLEG: LLM Functions as Powerful fMRI Graph-Enhancer for Brain Network Analysis cites this paper.

BLEG: LLM Functions as Powerful fMRI Graph-Enhancer for Brain Network Analysis BrainBERT: Self-supervised representation learning for intracranial recordings

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:23:26.887148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T23:19:07.149678Z digest=sha256:d9906e1f8a58f28520ea1c83b447e625bca6e7e84fde122ffc30b140b5d615db

Observation 4515bdf0-3b7f-4b4f-9d64-cfbc8bebe3e9 · 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 BrainBERT: Self-supervised representation learning for intracranial recordings

Reference 64

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:51:04.752290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-10T02:43:25.842048Z digest=sha256:05504a6ea631fc655cbc333f5d6b6beb5e789366c78dd14c3098b97218819e8c

Observation 3a05cb78-c3d0-47c1-93dc-6311d0878c31 · 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 BrainBERT: Self-supervised representation learning for intracranial recordings

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:28:12.522777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T10:24:02.705246Z digest=sha256:586ee759d261936af59d5f647e2bab2b10ba1c6eea0b2b17ad32a17d56a10638

Observation 60ad2b74-8941-4305-891e-0b083dfd8656 · 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 BrainBERT: Self-supervised representation learning for intracranial recordings

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-06-30T18:55:00.716190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T18:48:25.852910Z digest=sha256:c5248bc4cd47e02dc98e8935b05ea7aae29d98180b294e570984e453316827a2

Observation 007bb167-74ba-40d0-ab2f-ceda8a631a3f · inbound

Let EEG Models Learn EEG cites this paper.

Let EEG Models Learn EEG BrainBERT: Self-supervised representation learning for intracranial recordings

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T05:13:58.338696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-21T05:11:59.176663Z digest=sha256:147ecb50e855814a083e609eec4636e4ad96caa137b1f2aba22283d17d5a05a1

Observation e082a9e7-075a-4a9b-8294-518424b286c5 · 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 BrainBERT: Self-supervised representation learning for intracranial recordings

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T01:07:42.089722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-11T01:07:21.002787Z digest=sha256:244068b535f1d688396e9c4e31e126b89cf471677e5d78507cc7aff3bb0bdb05

Observation 8afe5c11-791e-4cfc-9a29-fab228b2f6c1 · 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 BrainBERT: Self-supervised representation learning for intracranial recordings

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-14T04:39:26.217792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T04:39:26.217792Z digest=sha256:7279cfd10cfa65abd732b6fb11636ecc7c8e5341cca121571050a12486dd8627

Observation 380e4386-f522-4890-bcd4-50ce5f62689f · inbound

Understanding and Correcting Low-Frequency Bias in EEG Foundation Model cites this paper.

Understanding and Correcting Low-Frequency Bias in EEG Foundation Model BrainBERT: Self-supervised representation learning for intracranial recordings

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T15:09:46.113659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:09:46.113659Z digest=sha256:23b041bf2d74aa8baf9dc6df71800bdcc311b2bcba6ec4bc0335eedabffcb5d7