Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals
As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.13695.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:40:09.987466Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
5
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 547c7943-9cdd-4976-b83d-b537e8ea6c84 · inbound
Exploring the Generalization Capabilities of AID-based Bi-level Optimization cites this paper.
Exploring the Generalization Capabilities of AID-based Bi-level Optimization CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:40:09.987466Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc86e15e-811a-40ed-b734-c1b73aad0d55 · inbound
A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification cites this paper.
A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-08-03T01:13:25.813922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.