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Paper Citation Record · LEDGER

Neural networks reconstruction of the dense-matter equation of state from neutron-star parameters

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2006.07194.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2006.07194 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:35:12.339764Z

measured 0 of 1 external citation measurements

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

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  • verified fuzzy0
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  • malformed identifier0
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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 62a5fac2-6e3c-47d7-ad9b-d31ece0c6dce · inbound

Explainable autoencoder for neutron star dense matter parameter estimation cites this paper.

Explainable autoencoder for neutron star dense matter parameter estimation Neural networks reconstruction of the dense-matter equation of state from neutron-star parameters

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T14:35:12.339764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:35:12.339764Z digest=sha256:5612563c6bc8aa0f586852fabd9080fa015fc1d54c1e04c1931f140512eae59e

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.

source=pdf_text observed=2026-08-05T15:39:04.976469Z digest=sha256:6398dc6b69d994dfe991ef31bff40f0802e52a461711271f69d0d65fa18d9745

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T05:14:26.295021Z digest=sha256:1d5655c4b0871806b1118b77fc4405df0eb08ea929d8c4d696d463f9f7bd8f68

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T16:43:38.041582Z digest=sha256:bbdef6d7c58cbbeecf4fbf74ada9b72d00048814796439cef6a8cf403fc0cd17

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.

source=pdf_text observed=2026-08-02T03:23:36.339530Z digest=sha256:28e0a94ae50aa17ddaa21f54f0ec4b080b6fa544181a16cd7753517f88d227b2