Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Neural networks reconstruction of the dense-matter equation of state from neutron-star parameters
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2006.07194.
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 2026-08-05T15:39:04.976469Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T16:44:55.796555Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
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- 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 7aa9a1e9-e3e7-4834-a5cf-9eb516f94c21 · 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 Neural networks reconstruction of the dense-matter equation of state from neutron-star parameters
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:39:04.976469Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3208a57a-aa6d-432c-b08a-1daa1a8d38e0 · inbound
Equation of State at High Baryon Densities from a Thermodynamically Informed Neural Network cites this paper.
Equation of State at High Baryon Densities from a Thermodynamically Informed Neural Network Neural networks reconstruction of the dense-matter equation of state from neutron-star parameters
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T05:14:37.549593Z
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.
Observation 8097e030-5e62-4975-95a3-3e18f62b27db · inbound
Equation of State at High Baryon Densities from a Thermodynamically Informed Neural Network cites this paper.
Equation of State at High Baryon Densities from a Thermodynamically Informed Neural Network Neural networks reconstruction of the dense-matter equation of state from neutron-star parameters
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:44:55.797996Z
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.
Observation 0dac722a-4138-43a9-a61d-2c95fb194c9e · inbound
NNStar: An end-to-end AI agent for nuclear matter and neutron star physics cites this paper.
NNStar: An end-to-end AI agent for nuclear matter and neutron star physics Neural networks reconstruction of the dense-matter equation of state from neutron-star parameters
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:23:36.339530Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.