Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
HYDRA: Competing convolutional kernels for fast and accurate time series classification
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.13652.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-31T19:30:05.276581Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T23:57:53.156371Z
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 e22832b7-f154-46fb-9716-1421944feedc · inbound
Time Series Extrinsic Regression of Ion Cyclotron Emission Spectra Trained on Particle-In-Cell Simulations cites this paper.
Time Series Extrinsic Regression of Ion Cyclotron Emission Spectra Trained on Particle-In-Cell Simulations HYDRA: Competing convolutional kernels for fast and accurate time series classification
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T23:57:53.159934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b8462c76-7da0-4305-a7b8-06d2f0160997 · inbound
A Computational Ethical Framework for Financial Digital Phenotyping for Mental Health cites this paper.
A Computational Ethical Framework for Financial Digital Phenotyping for Mental Health HYDRA: Competing convolutional kernels for fast and accurate time series classification
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T19:30:05.276581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.