Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Realizing the potential of deep neural network for analyzing neutron star observables and dense matter equation of state
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2208.13163.
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 2026-08-05T15:39:04.987867Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
10
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 259a614b-6926-40f5-b45e-73787fa7d1a9 · inbound
Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data cites this paper.
Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data Realizing the potential of deep neural network for analyzing neutron star observables and dense matter equation of state
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:39:04.987867Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fc685fc-0c0c-4cbf-a11d-bdfaf49b3f0c · inbound
nmma: An extended Bayesian framework for Nuclear Multimessenger Astronomy in the Era of Next-Generation Detectors cites this paper.
nmma: An extended Bayesian framework for Nuclear Multimessenger Astronomy in the Era of Next-Generation Detectors Realizing the potential of deep neural network for analyzing neutron star observables and dense matter equation of state
Reference 195
- Resolution
- verified exact
- local_arxiv, observed 2026-07-12T05:18:35.461855Z
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.