Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Decoding Neutron Star Observations: Revealing Composition through Bayesian Neural Networks
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.06929.
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 2026-08-11T00:26:46.638146Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T15:39:05.241730Z
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 95d01186-0576-4fe3-a880-e76e97d15870 · inbound
Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics cites this paper.
Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics Decoding Neutron Star Observations: Revealing Composition through Bayesian Neural Networks
Reference 99
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:15:54.631628Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f6e8374-2b6c-40f4-af40-0cea59fb2fdb · inbound
Exploring the limits of nucleonic metamodelling using different relativistic density functionals cites this paper.
Exploring the limits of nucleonic metamodelling using different relativistic density functionals Decoding Neutron Star Observations: Revealing Composition through Bayesian Neural Networks
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:14:27.556366Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab01acdb-6bb7-412d-a74a-968c2df209b1 · inbound
Locating the QCD critical point with neutron-star observations cites this paper.
Locating the QCD critical point with neutron-star observations Decoding Neutron Star Observations: Revealing Composition through Bayesian Neural Networks
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:40:52.717633Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb1a78eb-de99-4843-83e2-eee47bdffc9d · 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 Decoding Neutron Star Observations: Revealing Composition through Bayesian Neural Networks
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T15:39:05.245013Z
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 ce99c5dc-4b73-43f0-ac5a-e83b484a888d · 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 Decoding Neutron Star Observations: Revealing Composition through Bayesian Neural Networks
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:26:46.638146Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.