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Paper Citation Record · LEDGER

Decoding Neutron Star Observations: Revealing Composition through Bayesian Neural Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.06929.

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

pith.paper-citation-record.v1
2306.06929 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:14:27.556366Z

measured 0 of 1 external citation measurements

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 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.

source=pdf_text observed=2026-08-08T23:14:27.556366Z digest=sha256:8a79793697d8da6bd6385c92bb813d715a7586676bc667fff46722523d3d1874

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.

source=pdf_text observed=2026-08-07T04:40:52.717633Z digest=sha256:6594a88ac34b650ad6238b4165617171da6c28f34bd217833f3bc252ef47055f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:39:05.014178Z digest=sha256:0db860e197e26672731476c7f968ea97a375b4ce27aafa26500e4e42bb622d0a