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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:39:16.567232Z

measured 0 of 1 external citation measurements

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

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

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 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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metadata mismatch
arxiv_id, observed 2026-05-18T21:55:03.181840Z

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.

source=arxiv_source observed=2026-05-18T21:55:02.127460Z digest=sha256:eb2e508da56fff7e5cff07c795b9ecbd8464835ef01de75b8155c43a936543bd

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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verified exact
arxiv_id, observed 2026-05-24T01:35:55.608351Z

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.

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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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verified exact
arxiv_id, observed 2026-05-19T13:22:18.565923Z

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.

source=pdf_text observed=2026-05-19T13:21:37.451964Z digest=sha256:171ca726e16fb820c09556862f25075d8992117c8e2c4f2b74989d7a074fa1a3

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T22:06:32.129237Z digest=sha256:89b74be93e2ce186b60fcffdfe6c9f139d17e8cd76fc90d5ff2f80dafb9a063a

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:59:10.146946Z digest=sha256:641a736533c11c7b6f3aa64a1cb756f8f51d1ab8b2a15e2a0c8bbb154ce526d5

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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