Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Detecting dense-matter phase transition signatures in neutron star mass-radius measurements as data anomalies using normalising flows
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.05480.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:26:46.666960Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T14:35:13.019611Z
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 8516358e-f593-4482-aeb9-513b511b790f · inbound
Explainable autoencoder for neutron star dense matter parameter estimation cites this paper.
Explainable autoencoder for neutron star dense matter parameter estimation Detecting dense-matter phase transition signatures in neutron star mass-radius measurements as data anomalies using normalising flows
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T14:35:13.024858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 48e339d1-9ba2-4c6a-912b-9fc853dbcc79 · inbound
Fast and Accurate Prediction of Neutron Star Structure with Deep Neural Networks cites this paper.
Fast and Accurate Prediction of Neutron Star Structure with Deep Neural Networks Detecting dense-matter phase transition signatures in neutron star mass-radius measurements as data anomalies using normalising flows
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:26:46.666960Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.