Paper Citation Record · LEDGER

Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2210.05686.

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pith.paper-citation-record.v1
2210.05686 v2

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measured 29 of 29 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:23:01.879032Z

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

Source: arxiv_reference, observed 2026-07-03T13:18:12.967672Z

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Pith citing papers

Observation 6e86ba44-1ab9-4a2c-a187-1af06ebffbca · 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 Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 115

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:35:56.110848Z

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Observation 53599f81-a1fa-49d6-bbfb-06957c261700 · inbound

Assessment of normalizing flows for parameter estimation on time-frequency representations of gravitational-wave data cites this paper.

Assessment of normalizing flows for parameter estimation on time-frequency representations of gravitational-wave data Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-22T15:21:44.846003Z

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Observation 7fb87b2b-dfb0-48ca-ac4a-aac2827c5175 · inbound

A fast deep-learning approach to probing primordial black hole populations in gravitational wave events cites this paper.

A fast deep-learning approach to probing primordial black hole populations in gravitational wave events Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T15:23:01.879032Z

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Observation 7f833ea7-94f4-4a26-89f4-f92fd626386f · inbound

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

Parameter inference of millilensed gravitational waves using neural spline flows Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-19T13:22:18.722047Z

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Observation 4a0b10b2-8b3c-41c7-a26a-d0e8d580c057 · inbound

Revisiting GW150914 with a non-planar, eccentric waveform model cites this paper.

Revisiting GW150914 with a non-planar, eccentric waveform model Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 162

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:27.850079Z

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Observation 2c07f989-bc90-4454-aeaa-4df91677e5b7 · 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 Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T19:39:15.405919Z

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Observation 5b5df3d3-87e1-41e3-a33e-b044011d6136 · inbound

The fault in our sirens: Hierarchical diagnosis of waveform systematics in Hubble-Lema\^itre constant measurements cites this paper.

The fault in our sirens: Hierarchical diagnosis of waveform systematics in Hubble-Lema\^itre constant measurements Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T17:20:18.798425Z

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Observation 27b534e9-7763-4fde-b370-15634c8c4db0 · inbound

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms cites this paper.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.265018Z

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Observation 5741e74a-e542-4ffe-b548-a4eccf70f9b6 · inbound

A Robust and Efficient F-statistic-based Framework for Consistent Bayesian Inference of Compact Binary Coalescences cites this paper.

A Robust and Efficient F-statistic-based Framework for Consistent Bayesian Inference of Compact Binary Coalescences Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-18T16:16:36.023209Z

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Observation 11c1e5d8-2595-4531-9e3a-521fb2d3d659 · inbound

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

Accelerated Sequential Posterior Inference via Reuse for Gravitational-Wave Analyses Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T23:47:05.928922Z

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Observation 8e3507c6-3d6a-4540-97e3-55a8568c33d2 · inbound

Accelerated inference of microlensed gravitational waves with machine learning cites this paper.

Accelerated inference of microlensed gravitational waves with machine learning Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-03T22:55:47.726120Z

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Observation 89576e24-eb70-404a-98f6-2bd7b730d959 · inbound

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

Flexible Gravitational-Wave Parameter Estimation with Transformers Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T18:59:10.634186Z

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Observation 55878177-106a-4d11-83db-475d01b07343 · inbound

Discovering gravitational waveform distortions from lensing: A deep dive into GW231123 cites this paper.

Discovering gravitational waveform distortions from lensing: A deep dive into GW231123 Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T15:28:15.103004Z

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Observation 1a27b998-a63b-46f6-8a8f-185c8c8fe6db · inbound

Model-agnostic search of gravitational wave echoes in LVK data cites this paper.

Model-agnostic search of gravitational wave echoes in LVK data Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-03T13:20:03.573568Z

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Observation 5a4cc114-97de-43d7-8428-560de8300c3a · inbound

Combining simulation-based inference and universal relations for precise and accurate neutron star science cites this paper.

Combining simulation-based inference and universal relations for precise and accurate neutron star science Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T12:14:17.005054Z

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Observation bd256c99-f495-4ff6-816d-7d0563113a95 · inbound

Spectroscopy of analogue black holes using simulation-based inference cites this paper.

Spectroscopy of analogue black holes using simulation-based inference Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-10T15:05:32.893693Z

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 810f6229-ba05-4091-adcd-ff13d654e4a1 · inbound

Robust parameter inference for Taiji via time-frequency contrastive learning and normalizing flows cites this paper.

Robust parameter inference for Taiji via time-frequency contrastive learning and normalizing flows Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:45:24.099350Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 516859c3-f10c-49af-8dbe-0ad5a741c3fb · 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 Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 129

Resolution: verified exact; arxiv_id, observed 2026-05-21T03:33:56.045727Z

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Observation 7abbfda3-0439-48ac-8682-3b766fcf8623 · inbound

Eccentric and unbound compact binaries in the LIGO-Virgo-KAGRA catalog: parameter estimation and waveform systematics with SEOBNRv6EHM cites this paper.

Eccentric and unbound compact binaries in the LIGO-Virgo-KAGRA catalog: parameter estimation and waveform systematics with SEOBNRv6EHM Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:13:28.263367Z

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Observation ef653ee2-2963-43d9-8e95-441b18168421 · 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 Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-07-02T00:36:24.940695Z

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 992380a0-bddf-4a2b-954f-21c78545600a · inbound

Artifact-Conditioned Interval Diagnostics for Flow-Matching Neural Posterior Estimation in a Controlled Gravitational-Wave Benchmark cites this paper.

Artifact-Conditioned Interval Diagnostics for Flow-Matching Neural Posterior Estimation in a Controlled Gravitational-Wave Benchmark Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:18:12.969205Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3333a544-71be-46f1-a124-82e394c6ec10 · inbound

Fortifying gravitational-wave population inference with normalizing flows cites this paper.

Fortifying gravitational-wave population inference with normalizing flows Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-02T11:36:00.547162Z

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Observation 6b5d85af-fa54-4780-b960-7698de908147 · inbound

Joint inference of line-of-sight acceleration and orbital eccentricity in neutron-star--black-hole binaries cites this paper.

Joint inference of line-of-sight acceleration and orbital eccentricity in neutron-star--black-hole binaries Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 131

Resolution: verified exact; arxiv_id, observed 2026-07-01T17:35:52.379629Z

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Observation 568b2cd6-7c23-48a9-bd20-1f8ab6112540 · inbound

Flow-Based Surrogates for High-Dimensional Likelihoods in Experimental Neutrino Physics cites this paper.

Flow-Based Surrogates for High-Dimensional Likelihoods in Experimental Neutrino Physics Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-12T02:13:50.235522Z

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Observation 63d791ab-10c8-4e51-89a6-475abba8fb9b · inbound

Flow-Based Surrogates for High-Dimensional Likelihoods in Experimental Neutrino Physics cites this paper.

Flow-Based Surrogates for High-Dimensional Likelihoods in Experimental Neutrino Physics Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-13T07:05:05.761630Z

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Observation 74f28df8-793c-4f69-ad45-55db0f0f06f3 · inbound

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

Identifying lensed gravitational waves with physics-informed posterior learning Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 156

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

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Observation 21b4a644-5de3-4d68-9253-dba58c12d8f7 · inbound

An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning cites this paper.

An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-01T07:00:59.435490Z

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Observation dd254277-f457-45dc-9fe1-fdf0ecc27ce8 · 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 Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-31T04:58:16.807948Z

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Observation 416e6596-c5a5-4347-af56-b6504cbd45d0 · inbound

Ab Initio Real-Time Gravitational-Wave Parameter Estimation cites this paper.

Ab Initio Real-Time Gravitational-Wave Parameter Estimation Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 81

Resolution: unresolved; no resolver link, observed 2026-07-31T12:51:48.903846Z

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