Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2412.03454.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:33:04.601086Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T00:36:24.982108Z
Reference resolution
0 of 0 outbound references displayed
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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 ad3c1181-7d15-4ca1-a319-044eab58fbfc · inbound
Hierarchical Subtraction with Neural Density Estimators as a General Solution to Overlapping Gravitational Wave Signals cites this paper.
Hierarchical Subtraction with Neural Density Estimators as a General Solution to Overlapping Gravitational Wave Signals Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:39:16.349154Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e05e19d-993e-4080-93ca-56398bf31ec8 · inbound
Fast neural network surrogate for multimodal effective-one-body gravitational waveforms from generically precessing compact binaries cites this paper.
Fast neural network surrogate for multimodal effective-one-body gravitational waveforms from generically precessing compact binaries Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:46:32.408639Z
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.
Observation 836c2bfc-598f-4945-b5a0-de2a115fcaf8 · inbound
Speed and accuracy for long signals: Frequency-domain effective-one-body waveforms for compact binary coalescences cites this paper.
Speed and accuracy for long signals: Frequency-domain effective-one-body waveforms for compact binary coalescences Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State
Reference 99
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T00:36:24.985307Z
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.
Observation 654d6b95-9950-4949-828e-2905baf6aaee · inbound
nmma: An extended Bayesian framework for Nuclear Multimessenger Astronomy in the Era of Next-Generation Detectors cites this paper.
nmma: An extended Bayesian framework for Nuclear Multimessenger Astronomy in the Era of Next-Generation Detectors Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State
Reference 95
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T05:14:58.841553Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58a64cff-82d0-48ce-a604-033dd5430f3a · inbound
Fast, accurate, and differentiable: a neural-network surrogate for NRSur7dq4 precessing binary black hole waveforms cites this paper.
Fast, accurate, and differentiable: a neural-network surrogate for NRSur7dq4 precessing binary black hole waveforms Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T04:58:16.815444Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9be71712-04c6-4dad-9d3f-3388d7719404 · inbound
Ab Initio Real-Time Gravitational-Wave Parameter Estimation cites this paper.
Ab Initio Real-Time Gravitational-Wave Parameter Estimation Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T12:51:48.884508Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6338d4f9-2329-4e75-829e-90ddd7059dcf · inbound
Probability of gravitational-wave lensing by intermediate-mass black holes and globular clusters cites this paper.
Probability of gravitational-wave lensing by intermediate-mass black holes and globular clusters Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State
Reference 97
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:33:04.601086Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2fb2c688-4e9a-4e55-bdc2-4755d2782916 · inbound
Fast and Accurate Prediction of Neutron Star Structure with Deep Neural Networks cites this paper.
Fast and Accurate Prediction of Neutron Star Structure with Deep Neural Networks Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State
Reference 83
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:26:46.674848Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.