Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Rapid Mass Parameter Estimation of Binary Black Hole Coalescences Using Deep Learning
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2201.11126.
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 2026-08-05T05:30:31.301381Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T22:10:22.860665Z
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 c4cc5ede-7c19-4972-8177-9d3ad4965c94 · inbound
Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms cites this paper.
Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Rapid Mass Parameter Estimation of Binary Black Hole Coalescences Using Deep Learning
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T05:30:31.301381Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0081639-736e-42ed-82c1-bdb8a6062653 · inbound
Auto-encoder model for faster generation of effective one-body gravitational waveform approximations cites this paper.
Auto-encoder model for faster generation of effective one-body gravitational waveform approximations Rapid Mass Parameter Estimation of Binary Black Hole Coalescences Using Deep Learning
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:10:22.862129Z
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.