Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Classifying binary black holes from Population III stars with the Einstein Telescope: A machine-learning approach
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.10048.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-24T01:41:02.373348Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T01:43:43.123281Z
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 856d4ede-0e1b-463b-88ae-23399e97a3d8 · inbound
Validating Prior-informed Fisher-matrix Analyses against GWTC Data cites this paper.
Validating Prior-informed Fisher-matrix Analyses against GWTC Data Classifying binary black holes from Population III stars with the Einstein Telescope: A machine-learning approach
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T01:43:43.126007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b36c9b5e-d5f5-443e-8f70-fa8bbb9f6573 · inbound
Not too close! Evaluating the impact of the baseline on the localization of binary black holes by next-generation gravitational-wave detectors cites this paper.
Not too close! Evaluating the impact of the baseline on the localization of binary black holes by next-generation gravitational-wave detectors Classifying binary black holes from Population III stars with the Einstein Telescope: A machine-learning approach
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:31:03.190440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.