Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Data augmentation using synthetic data for time series classification with deep residual networks
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1808.02455.
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 2026-08-07T05:33:25.622965Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T13:25:56.124946Z
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 9271440d-e5a6-4ec8-ab47-0184890792e5 · inbound
Scaling Human Activity Recognition: A Comparative Evaluation of Synthetic Data Generation and Augmentation Techniques cites this paper.
Scaling Human Activity Recognition: A Comparative Evaluation of Synthetic Data Generation and Augmentation Techniques Data augmentation using synthetic data for time series classification with deep residual networks
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:33:25.622965Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6810fb3f-a1e3-4ba0-a2f8-6c2934e433ab · inbound
Text Reinforcement for Multimodal Time Series Forecasting cites this paper.
Text Reinforcement for Multimodal Time Series Forecasting Data augmentation using synthetic data for time series classification with deep residual networks
Reference 65
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T13:25:56.128410Z
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.