Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Gravitational wave population inference with deep flow-based generative network
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2002.09491.
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 2026-08-05T15:53:35.899820Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T17:06:39.595605Z
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 b3217e09-c07b-4935-a101-d95fbeaf3aeb · inbound
Exploring the astrophysical origins of binary black holes using normalising flows cites this paper.
Exploring the astrophysical origins of binary black holes using normalising flows Gravitational wave population inference with deep flow-based generative network
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:53:35.899820Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7eb3583-bd6d-4818-90a1-84b6812569e0 · inbound
An Implementation to Identify the Properties of Multiple Population of Gravitational Wave Sources cites this paper.
An Implementation to Identify the Properties of Multiple Population of Gravitational Wave Sources Gravitational wave population inference with deep flow-based generative network
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T17:06:39.598354Z
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.