Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.10060.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T04:24:04.181960Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T18:16:16.850658Z
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 8ac3e99a-4390-4d6b-ac95-e0df23470973 · inbound
Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs cites this paper.
Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T04:24:04.181960Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b95d2c5-6784-46cd-a97e-dc15235c681f · inbound
A Joint Learning Framework with Feature Reconstruction and Prediction for Incomplete Satellite Image Time Series in Agricultural Semantic Segmentation cites this paper.
A Joint Learning Framework with Feature Reconstruction and Prediction for Incomplete Satellite Image Time Series in Agricultural Semantic Segmentation Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:22:47.329460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.