Paper Citation Record · LEDGER

EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2401.18006.

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

pith.paper-citation-record.v1
2401.18006 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:52.868840Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T18:55:00.709500Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 8b64b1cc-3a1b-4ef4-b7c2-70c5259f4580 · inbound

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data cites this paper.

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:02.497562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Large Language Models for EEG: A Comprehensive Survey and Taxonomy cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T11:30:54.977212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b8bf82b-29b3-4883-84ef-cad9edddcca8 · inbound

Large Language models for Time Series Analysis: Techniques, Applications, and Challenges cites this paper.

Large Language models for Time Series Analysis: Techniques, Applications, and Challenges EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:52.868840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e231977f-137b-461c-9732-6f7506a43345 · inbound

Foundation Models for Cross-Domain EEG Analysis Application: A Survey cites this paper.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:16.985304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef14f3f2-1eba-44c7-be8b-02515f8595c5 · inbound

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception cites this paper.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T17:44:24.432894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a616b4b-5776-4762-8919-3ba6c33a9107 · inbound

Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook cites this paper.

Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:53:08.537231Z

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.

Observation bb3cc8d5-527e-4fce-a2a6-8e44cdcd3511 · 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 EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:11:27.719952Z

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.

Observation 9c36bd39-5ca7-4c6e-9071-169033efcce2 · 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 EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:28:12.534764Z

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.

Observation c6d89a5e-7b1b-4e45-b8b5-d6a9eea30c06 · 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 EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:55:00.711660Z

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.

Observation bdba4c17-690b-4899-b1fa-cf11edf17a6e · inbound

EasyBCI Agent: Towards Universal Neural Data Preprocessing for Brain-Computer Interfaces cites this paper.

EasyBCI Agent: Towards Universal Neural Data Preprocessing for Brain-Computer Interfaces EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T15:35:12.220051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4a5a55f-ce0e-4f22-b029-190a020e1e73 · inbound

EasyBCI Agent: Towards Universal Neural Data Preprocessing for Brain-Computer Interfaces cites this paper.

EasyBCI Agent: Towards Universal Neural Data Preprocessing for Brain-Computer Interfaces EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T03:20:50.052613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.