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 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:26:46.739024Z
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 2026-08-17T06:30:58.91139+00:00.
Observation a0af6b53-f086-4ec7-996d-4138fbf2f764 · 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 Realizing the potential of deep neural network for analyzing neutron star observables and dense matter equation of state
Reference 94
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:26:46.739024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.