Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Rapid parameter estimation for an all-sky continuous gravitational wave search using conditional varitational auto-encoders
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.02031.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T05:20:01.470060Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T05:20:01.870965Z
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 69bcc5f4-0eea-4c76-ac81-ab1c212751dc · inbound
Parameter estimation of microlensed gravitational waves with Conditional Variational Autoencoders cites this paper.
Parameter estimation of microlensed gravitational waves with Conditional Variational Autoencoders Rapid parameter estimation for an all-sky continuous gravitational wave search using conditional varitational auto-encoders
Reference 94
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T05:20:01.876472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1b83f0c0-e918-45f0-aec9-b48d6f57099d · 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 Rapid parameter estimation for an all-sky continuous gravitational wave search using conditional varitational auto-encoders
Reference 80
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:42:49.818106Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.