Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unraveling information about supranuclear-dense matter from the complete binary neutron star coalescence process using future gravitational-wave detector networks
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.09259.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T14:53:42.242560Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T14:54:45.305972Z
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 7cb0ce22-706f-422f-aa21-23be055f8dcf · inbound
Science with the Einstein Telescope: a comparison of different designs cites this paper.
Science with the Einstein Telescope: a comparison of different designs Unraveling information about supranuclear-dense matter from the complete binary neutron star coalescence process using future gravitational-wave detector networks
Reference 222
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T21:45:18.049888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 42a7a1c0-e8d9-4e32-bc6c-79381040e9aa · inbound
Inferring Neutron-Star Properties from Post-merger Gravitational-wave Spectra with Neural Networks cites this paper.
Inferring Neutron-Star Properties from Post-merger Gravitational-wave Spectra with Neural Networks Unraveling information about supranuclear-dense matter from the complete binary neutron star coalescence process using future gravitational-wave detector networks
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T14:54:45.307228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.