Paper Citation Record · LEDGER

Classifying the Equation of State from Rotating Core Collapse Gravitational Waves with Deep Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2009.07367.

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

pith.paper-citation-record.v1
2009.07367 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:47:49.792954Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T22:27:36.645228Z

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 3f87a624-3d52-425f-a048-a44133ab641c · 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 Classifying the Equation of State from Rotating Core Collapse Gravitational Waves with Deep Learning

Reference 71

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 3c759a69-9635-45f0-ac51-f899d2f1bf66 · inbound

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

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-04T05:43:30.090230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47fafd53-83d5-434d-b328-ca0d363b3553 · 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 Classifying the Equation of State from Rotating Core Collapse Gravitational Waves with Deep Learning

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:26:11.654222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 996ed7dd-6c6f-4724-a54b-255a72272b6c · inbound

Contrastive self-supervised convolutional autoencoder for core-collapse supernova gravitational-wave detection cites this paper.

Contrastive self-supervised convolutional autoencoder for core-collapse supernova gravitational-wave detection Classifying the Equation of State from Rotating Core Collapse Gravitational Waves with Deep Learning

Reference 105

Resolution: verified exact; arxiv_id, observed 2026-05-21T03:33:56.127867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0c202be8-6404-4f86-b960-673eba400654 · inbound

The Generalization Gap in Machine Learning EoS Inference from Core-Collapse Supernova Gravitational Waves cites this paper.

The Generalization Gap in Machine Learning EoS Inference from Core-Collapse Supernova Gravitational Waves Classifying the Equation of State from Rotating Core Collapse Gravitational Waves with Deep Learning

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-07-10T22:27:36.662979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 55bc87b0-bc6c-4b42-84a9-e850edc3e6ea · inbound

Parameter Estimation Horizon of Core-Collapse Supernovae with a Network of Gravitational-Wave Detectors cites this paper.

Parameter Estimation Horizon of Core-Collapse Supernovae with a Network of Gravitational-Wave Detectors Classifying the Equation of State from Rotating Core Collapse Gravitational Waves with Deep Learning

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-04T23:55:23.260104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3760058-ad0d-4109-9d6c-ab4b95eedd65 · 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 Classifying the Equation of State from Rotating Core Collapse Gravitational Waves with Deep Learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T12:47:49.792954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.