Paper Citation Record · LEDGER

Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:1909.06296.

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

pith.paper-citation-record.v1
1909.06296 v4

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:45:53.084752Z

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Source: arxiv_reference, observed 2026-05-24T01:35:55.605100Z

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Pith citing papers

Observation 86285534-2428-4b50-a05e-2b937aeed5ba · inbound

Bayesian inference for compact binary coalescences with BILBY: Validation and application to the first LIGO--Virgo gravitational-wave transient catalogue cites this paper.

Bayesian inference for compact binary coalescences with BILBY: Validation and application to the first LIGO--Virgo gravitational-wave transient catalogue Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

Reference 86

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Observation c64a5996-0b8f-45f0-971f-da783d0000da · inbound

Evidence for eccentricity in the population of binary black holes observed by LIGO-Virgo-KAGRA cites this paper.

Evidence for eccentricity in the population of binary black holes observed by LIGO-Virgo-KAGRA Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

Reference 165

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Observation 7432fffb-7d9f-4a96-9489-eed7e814701a · inbound

Parameter estimation of microlensed gravitational waves with Conditional Variational Autoencoders cites this paper.

Parameter estimation of microlensed gravitational waves with Conditional Variational Autoencoders Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

Reference 86

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Observation a34359e4-f57a-4e15-85e7-0801e0ddeb38 · inbound

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State cites this paper.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

Reference 45

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Observation 94e575f6-2398-4ecc-ac4e-300efb1ec95d · inbound

Applications of machine learning in gravitational wave research with current interferometric detectors cites this paper.

Applications of machine learning in gravitational wave research with current interferometric detectors Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

Reference 176

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:50.290176Z

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Observation f0d25d23-44aa-4419-9693-e406744aeef5 · inbound

Can Transformers help us perform parameter estimation of overlapping signals in gravitational wave detectors? cites this paper.

Can Transformers help us perform parameter estimation of overlapping signals in gravitational wave detectors? Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

Reference 25

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Observation e65fd67d-38c6-4717-8292-291de792c902 · inbound

Narrowing RIFT: Focused simulation-based-inference for interpreting exceptional GW sources cites this paper.

Narrowing RIFT: Focused simulation-based-inference for interpreting exceptional GW sources Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

Reference 71

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Observation 318f8830-8337-47a4-a824-a9cf8c7c748c · inbound

Parameter inference of millilensed gravitational waves using neural spline flows cites this paper.

Parameter inference of millilensed gravitational waves using neural spline flows Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

Reference 55

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Observation c15ff125-f54b-49ad-bd4f-67a75a20a5e2 · inbound

Black Hole Spectroscopy with Conditional Variational Autoencoder cites this paper.

Black Hole Spectroscopy with Conditional Variational Autoencoder Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

Reference 60

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Observation 5fa12764-00eb-4d25-83b6-bd1c2e23b03d · 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 Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T19:39:16.567232Z

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Observation e02476b9-49a4-4186-87b7-3675ed1d4304 · inbound

Accelerated Sequential Posterior Inference via Reuse for Gravitational-Wave Analyses cites this paper.

Accelerated Sequential Posterior Inference via Reuse for Gravitational-Wave Analyses Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T23:47:05.926306Z

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Observation 796240d4-078c-400d-b1fb-04d52ab76603 · inbound

Auto-encoder model for faster generation of effective one-body gravitational waveform approximations cites this paper.

Auto-encoder model for faster generation of effective one-body gravitational waveform approximations Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:10:22.923955Z

Source-reported events for the cited work

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Observation 70b4c462-467d-4ad6-81d2-28dc5cec86de · inbound

Flexible Gravitational-Wave Parameter Estimation with Transformers cites this paper.

Flexible Gravitational-Wave Parameter Estimation with Transformers Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T18:59:10.146946Z

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Observation d1f43dc0-f833-47ce-ac61-3b259eb0a710 · inbound

Identifying lensed gravitational waves with physics-informed posterior learning cites this paper.

Identifying lensed gravitational waves with physics-informed posterior learning Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

Reference 154

Resolution: unresolved; no resolver link, observed 2026-07-11T23:16:00.672720Z

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Observation 26ab521d-5809-4ce9-92c3-56bb6027b229 · inbound

Transformers with Physics-Informed Encodings and Simulation-Based Inference for Robust Detection of Eccentric Binary Black Holes in Pulsar Timing Array Data cites this paper.

Transformers with Physics-Informed Encodings and Simulation-Based Inference for Robust Detection of Eccentric Binary Black Holes in Pulsar Timing Array Data Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-11T23:07:55.601390Z

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Observation d397746d-b4da-4244-891d-4a8fdb62cf9b · 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 Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-11T00:33:04.587013Z

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