Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
EEG Synthetic Data Generation Using Probabilistic Diffusion Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2303.06068.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T21:08:51.098875Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T11:30:02.531647Z
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 7619425b-9575-4168-847c-03d3f5404041 · inbound
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis cites this paper.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis EEG Synthetic Data Generation Using Probabilistic Diffusion Models
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:51.098875Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 701df6c4-db48-4eb7-ae0b-3f60fcbbce85 · inbound
Synthetic Data Generation for Brain-Computer Interfaces: Overview, Benchmarking, and Future Directions cites this paper.
Synthetic Data Generation for Brain-Computer Interfaces: Overview, Benchmarking, and Future Directions EEG Synthetic Data Generation Using Probabilistic Diffusion Models
Reference 85
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T11:30:02.533787Z
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 f56c5011-4fc8-4b2a-8e54-7dc538d1660e · inbound
Optimal Time Window and Frequency Bandwidth Parameter Combination for Subject-Specific Motor Imagery EEG Classification cites this paper.
Optimal Time Window and Frequency Bandwidth Parameter Combination for Subject-Specific Motor Imagery EEG Classification EEG Synthetic Data Generation Using Probabilistic Diffusion Models
Reference 27
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-21T03:49:31.331782Z
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.