Paper Citation Record · LEDGER

NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2409.00101.

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

pith.paper-citation-record.v1
2409.00101 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:52:17.396363Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:27:04.654363Z

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 b4000e2a-847e-4e6f-bb1d-754eefee0623 · inbound

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

Tokenizing Single-Channel EEG with Time-Frequency Motif Learning NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:52:22.902284Z

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 142aa95a-2c34-41c1-87b5-e1ed50996381 · 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 NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:39:06.224027Z

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 010527e7-9cf0-44c8-96bd-9ee26dcdd582 · inbound

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

Benchmarking ERP Analysis: Manual Features, Deep Learning, and Foundation Models NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T18:38:15.905866Z

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 576f84c9-1447-46ed-8ee2-d07c01d07053 · 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 NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:20:28.712727Z

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 868e6342-41d2-4544-b477-fa3c3a185dde · inbound

Wearable AI in the Era of Large Sensor Models cites this paper.

Wearable AI in the Era of Large Sensor Models NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:30:58.110757Z

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 289708cf-e84b-4aeb-8ab7-0e9ea37fb4d1 · 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 NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:11:27.707735Z

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 cfc18931-62e0-4f1b-b675-bde4355fae7a · inbound

EduGage: Methods and Dataset for Sensor-Based Momentary Assessment of Engagement in Self-Guided Video Learning cites this paper.

EduGage: Methods and Dataset for Sensor-Based Momentary Assessment of Engagement in Self-Guided Video Learning NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:16:11.656928Z

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 f320333f-b72a-493e-ae47-920aec4c6bec · inbound

CLEF: EEG Foundation Model for Learning Clinical Semantics cites this paper.

CLEF: EEG Foundation Model for Learning Clinical Semantics NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:46:34.691713Z

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 0f064f84-67b5-4456-a53c-394902e159d5 · 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 NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:15:04.413582Z

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 4e6c75a7-59bc-4b11-ace3-9d1da044f24f · 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 NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:28:12.540874Z

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 b8e1919a-4964-4894-9103-be4c2df8f8c6 · inbound

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

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:55:00.735398Z

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 1213a47c-f016-4e7e-aa3b-894d34bbb361 · inbound

Let EEG Models Learn EEG cites this paper.

Let EEG Models Learn EEG NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:13:58.351192Z

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 e9e51ac3-f653-458e-8509-7e0a8f19942e · inbound

OmniEEG-Bench: A Standardized Evaluation Benchmark for EEG Foundation Models cites this paper.

OmniEEG-Bench: A Standardized Evaluation Benchmark for EEG Foundation Models NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:34.628117Z

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 af517d40-eef9-4ebd-8052-f9fc9c7f7c6a · 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 NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T23:16:23.831007Z

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 dc6f748f-9dac-4673-8b3b-3b797dba3a20 · 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 NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:27:04.655885Z

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 e4aa3417-a475-4431-84cc-a2e2f8e277fe · 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 NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T01:56:04.763134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a059eeef-f234-49bc-95a1-67d6686c2e38 · 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 NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

Reference 269

Resolution: unresolved; no resolver link, observed 2026-08-01T09:52:17.396363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.