Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Machine-learning interpolation of population-synthesis simulations to interpret gravitational-wave observations: a case study
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1909.06373.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T20:04:54.659600Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T09:21:21.225679Z
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 d3091550-68dd-409d-84fc-5965ad2a209d · inbound
Predicting intermediate-mass black hole formation in star clusters with machine learning cites this paper.
Predicting intermediate-mass black hole formation in star clusters with machine learning Machine-learning interpolation of population-synthesis simulations to interpret gravitational-wave observations: a case study
Reference 95
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T09:21:21.228120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 616bea10-95ff-482b-87c7-d2e327a49e6b · inbound
Predicting the unpredictable: binary--single scattering with machine learning cites this paper.
Predicting the unpredictable: binary--single scattering with machine learning Machine-learning interpolation of population-synthesis simulations to interpret gravitational-wave observations: a case study
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T20:04:54.659600Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.