Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Spectral homogeneity cross frequencies can be a quality metric for the large-scale resting EEG preprocessing
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.11994.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:47:43.946659Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T00:55:12.791146Z
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 73ff960d-547c-4ed3-a69a-ba08a43e5a26 · inbound
Exploring the distribution of connectivity weights in resting-state EEG networks cites this paper.
Exploring the distribution of connectivity weights in resting-state EEG networks Spectral homogeneity cross frequencies can be a quality metric for the large-scale resting EEG preprocessing
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:47:43.946659Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc12c8df-c048-4e6f-893c-c5dd42f346e8 · inbound
CPCANet: Deep Unfolding Common Principal Component Analysis for Domain Generalization cites this paper.
CPCANet: Deep Unfolding Common Principal Component Analysis for Domain Generalization Spectral homogeneity cross frequencies can be a quality metric for the large-scale resting EEG preprocessing
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:46:17.219662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 58311769-085e-4481-b7db-acaf3326bd3e · inbound
CPCANet: Deep Unfolding Common Principal Component Analysis for Domain Generalization cites this paper.
CPCANet: Deep Unfolding Common Principal Component Analysis for Domain Generalization Spectral homogeneity cross frequencies can be a quality metric for the large-scale resting EEG preprocessing
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T00:55:12.792553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.