Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Using supervised learning algorithms as a follow-up method in the search of gravitational waves from core-collapse supernovae
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2111.07219.
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 2026-08-11T11:42:49.695916Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T03:33:56.450348Z
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 bb90c6c2-c0a9-4f4a-b71f-3b2c8c350a13 · 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 Using supervised learning algorithms as a follow-up method in the search of gravitational waves from core-collapse supernovae
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:42:49.695916Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f233e307-32a4-4ccb-b524-e515a8cd0231 · inbound
Contrastive self-supervised convolutional autoencoder for core-collapse supernova gravitational-wave detection cites this paper.
Contrastive self-supervised convolutional autoencoder for core-collapse supernova gravitational-wave detection Using supervised learning algorithms as a follow-up method in the search of gravitational waves from core-collapse supernovae
Reference 107
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T03:33:56.451869Z
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.