Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A convolutional neural network to distinguish glitches from minute-long gravitational wave transients
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.04588.
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 2026-08-11T11:42:49.904812Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:57:17.610325Z
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 b111334b-f9bd-48d8-a9cb-05cbaf324847 · inbound
Applications of machine learning in gravitational wave research with current interferometric detectors cites this paper.
Applications of machine learning in gravitational wave research with current interferometric detectors A convolutional neural network to distinguish glitches from minute-long gravitational wave transients
Reference 98
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:42:49.904812Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f96063f-c42b-4547-a016-106a1da37951 · inbound
All-sky search for long-duration gravitational-wave transients in the first part of the fourth LIGO-Virgo-KAGRA Observing run cites this paper.
All-sky search for long-duration gravitational-wave transients in the first part of the fourth LIGO-Virgo-KAGRA Observing run A convolutional neural network to distinguish glitches from minute-long gravitational wave transients
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:57:17.693640Z
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.