Paper Citation Record · LEDGER

Inferring Astrophysical Parameters of Core-Collapse Supernovae from their Gravitational-Wave Emission

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2201.01397.

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

pith.paper-citation-record.v1
2201.01397 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:47:49.812307Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T18:26:11.333879Z

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 02cd7088-9773-4b1e-9885-db1cd3c216d0 · inbound

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves cites this paper.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Inferring Astrophysical Parameters of Core-Collapse Supernovae from their Gravitational-Wave Emission

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-13T16:48:58.103396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04c66f55-711c-4592-9e0a-e15f48b3590a · inbound

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves cites this paper.

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T05:43:23.290918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d325e6b0-29d6-4817-bde6-b0b688065288 · inbound

Basilic: An end-to-end pipeline for Bayesian burst inference and model classification in gravitational-wave data cites this paper.

Basilic: An end-to-end pipeline for Bayesian burst inference and model classification in gravitational-wave data Inferring Astrophysical Parameters of Core-Collapse Supernovae from their Gravitational-Wave Emission

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:55:24.566717Z

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.

Observation 7ee74c67-9881-484b-a5fa-18a2e893f242 · inbound

Parameter Estimation Horizon of Core-Collapse Supernovae with Current and Next-Generation Gravitational-Wave Detectors cites this paper.

Parameter Estimation Horizon of Core-Collapse Supernovae with Current and Next-Generation Gravitational-Wave Detectors Inferring Astrophysical Parameters of Core-Collapse Supernovae from their Gravitational-Wave Emission

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:26:11.341997Z

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.

Observation 29829116-7fdd-4df4-9e92-812f9e89dbba · inbound

Universal relations applied to proto-neutron star generated gravitational waves from three-dimensional core collapse supernova simulations cites this paper.

Universal relations applied to proto-neutron star generated gravitational waves from three-dimensional core collapse supernova simulations Inferring Astrophysical Parameters of Core-Collapse Supernovae from their Gravitational-Wave Emission

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-01T04:14:06.430462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c412062-0e9b-413d-9dbf-3602a5aa6404 · inbound

Reconstructing Core-Collapse Supernova Gravitational-Wave Signals with Transdimensional Bayesian Inference cites this paper.

Reconstructing Core-Collapse Supernova Gravitational-Wave Signals with Transdimensional Bayesian Inference Inferring Astrophysical Parameters of Core-Collapse Supernovae from their Gravitational-Wave Emission

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-08T12:47:49.812307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.