Paper Citation Record · LEDGER

Large Cognition Model: Towards Pretrained EEG Foundation Model

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.17464.

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

pith.paper-citation-record.v1
2502.17464 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:20:04.646587Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T21:42:10.032142Z

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 d1d72591-de95-4eea-9dd9-f016ce44abbd · inbound

Quantum Adaptive Self-Attention for Quantum Transformer Models cites this paper.

Quantum Adaptive Self-Attention for Quantum Transformer Models Large Cognition Model: Towards Pretrained EEG Foundation Model

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:42:10.035214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d0886277-11d4-41c0-8650-b8afe49e1b23 · 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 Large Cognition Model: Towards Pretrained EEG Foundation Model

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:17:16.348614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6873ec6a-d1b1-470b-bfa9-afa647e0324d · inbound

EEG-FM-Compass: Progress, Benchmarking, and Future Directions for EEG Foundation Models cites this paper.

EEG-FM-Compass: Progress, Benchmarking, and Future Directions for EEG Foundation Models Large Cognition Model: Towards Pretrained EEG Foundation Model

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T06:20:04.646587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beafac41-1f37-452b-9eee-dfbd802777c2 · 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 Large Cognition Model: Towards Pretrained EEG Foundation Model

Reference 21

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.