Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Riemannian Geometry-Based EEG Approaches: A Literature Review
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.20250.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:07:40.049556Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T07:31:14.133091Z
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 5035ab58-d898-46e0-a604-b7e349f27545 · inbound
Quantity versus Diversity: Influence of Data on Detecting EEG Pathology with Advanced ML Models cites this paper.
Quantity versus Diversity: Influence of Data on Detecting EEG Pathology with Advanced ML Models Riemannian Geometry-Based EEG Approaches: A Literature Review
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:29:22.525077Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation acfce66b-14e5-49e2-b5f3-765141aa7f6c · inbound
MPEC: Manifold-Preserved EEG Classification via an Ensemble of Clustering-Based Classifiers cites this paper.
MPEC: Manifold-Preserved EEG Classification via an Ensemble of Clustering-Based Classifiers Riemannian Geometry-Based EEG Approaches: A Literature Review
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:07:40.049556Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5785f99e-93b4-4671-840c-b37f4226b915 · inbound
Riemannian geometry meets fMRI: the advantages of modeling correlation manifolds and eigenvector subspaces cites this paper.
Riemannian geometry meets fMRI: the advantages of modeling correlation manifolds and eigenvector subspaces Riemannian Geometry-Based EEG Approaches: A Literature Review
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T07:31:14.135067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.