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Paper Citation Record · LEDGER

Real-time gravitational-wave science with neural posterior estimation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2106.12594.

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pith.paper-citation-record.v1
2106.12594 v2

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:23:02.923867Z

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Source: arxiv_reference, observed 2026-07-03T18:08:46.381979Z

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Pith citing papers

Observation 9dfa5bd9-810a-49af-884a-44a8425788a3 · 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 Real-time gravitational-wave science with neural posterior estimation

Reference 153

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arxiv_id, observed 2026-05-24T01:35:56.068557Z

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Observation 9c635e83-ba7b-4968-9fee-d466609e0fd6 · inbound

A practical Bayesian method for gravitational-wave ringdown analysis with multiple modes cites this paper.

A practical Bayesian method for gravitational-wave ringdown analysis with multiple modes Real-time gravitational-wave science with neural posterior estimation

Reference 34

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arxiv_id, observed 2026-05-23T03:55:21.795720Z

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Observation fb89df13-2dc4-4a74-8b41-e5ce691272b6 · 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 Real-time gravitational-wave science with neural posterior estimation

Reference 52

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Observation 1277799b-bf4e-4591-b3ca-03126eece44b · inbound

Sequential simulation-based inference for extreme mass ratio inspirals cites this paper.

Sequential simulation-based inference for extreme mass ratio inspirals Real-time gravitational-wave science with neural posterior estimation

Reference 54

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Observation e9b056bf-126b-4753-9c66-ea9f99b49ec6 · inbound

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

Parameter inference of millilensed gravitational waves using neural spline flows Real-time gravitational-wave science with neural posterior estimation

Reference 58

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arxiv_id, observed 2026-05-19T13:22:18.468181Z

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Observation 81435069-964c-4c35-b32d-ef29060bc885 · inbound

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

Revisiting GW150914 with a non-planar, eccentric waveform model Real-time gravitational-wave science with neural posterior estimation

Reference 285

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Observation ab73f1f1-cd20-4c0b-a910-ecf0c445869c · inbound

On the use and interpretation of signal-model indistinguishability measures for gravitational-wave astronomy cites this paper.

On the use and interpretation of signal-model indistinguishability measures for gravitational-wave astronomy Real-time gravitational-wave science with neural posterior estimation

Reference 60

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Observation 43992cc2-138e-483c-9d59-d381cdf39994 · inbound

Progress toward the detection of the gravitational-wave background from stellar-mass binary black holes: a mock data challenge cites this paper.

Progress toward the detection of the gravitational-wave background from stellar-mass binary black holes: a mock data challenge Real-time gravitational-wave science with neural posterior estimation

Reference 65

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Observation ef8c8568-4f1a-473b-b072-14d8cab5f9a5 · 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 Real-time gravitational-wave science with neural posterior estimation

Reference 58

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Observation db8792ac-0676-4d91-88de-37ffbeb2b024 · inbound

Towards Precise Simulations and Inference for the Neutron EDM cites this paper.

Towards Precise Simulations and Inference for the Neutron EDM Real-time gravitational-wave science with neural posterior estimation

Reference 20

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Observation 4e3eb81d-2d0f-4fc4-b56f-c86cd5f0ff2e · inbound

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

Accelerated inference of microlensed gravitational waves with machine learning Real-time gravitational-wave science with neural posterior estimation

Reference 60

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Observation 21a1df5c-9622-4ea6-924b-93d942abe5f2 · 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 Real-time gravitational-wave science with neural posterior estimation

Reference 38

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Observation 231a3d02-a212-4a09-b7fa-e8905ffbccf1 · inbound

Accelerating parameter estimation for parameterized tests of general relativity with gravitational-wave observations cites this paper.

Accelerating parameter estimation for parameterized tests of general relativity with gravitational-wave observations Real-time gravitational-wave science with neural posterior estimation

Reference 34

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Observation d7439358-2429-4eef-80f3-15015872f212 · inbound

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

Flexible Gravitational-Wave Parameter Estimation with Transformers Real-time gravitational-wave science with neural posterior estimation

Reference 22

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Observation d50229ac-00d9-4423-af7a-bbb1c75fa0aa · 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 Real-time gravitational-wave science with neural posterior estimation

Reference 42

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Observation 6c45ca88-23d6-4db5-8c02-9771dc89e9d6 · inbound

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

Model-agnostic search of gravitational wave echoes in LVK data Real-time gravitational-wave science with neural posterior estimation

Reference 94

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Observation 09680abc-89db-457a-ba20-a8d7085439a9 · 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 Real-time gravitational-wave science with neural posterior estimation

Reference 28

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Observation b9604c8d-e88c-40cf-b12a-ecad64c8c218 · inbound

Inferring the population properties of galactic binaries from LISA's stochastic foreground cites this paper.

Inferring the population properties of galactic binaries from LISA's stochastic foreground Real-time gravitational-wave science with neural posterior estimation

Reference 67

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Observation 4dd1edaa-f9cd-4b3b-9c86-800eeb6a4647 · inbound

Posterior Predictive Checks for Gravitational-wave Populations: Limitations and Improvements cites this paper.

Posterior Predictive Checks for Gravitational-wave Populations: Limitations and Improvements Real-time gravitational-wave science with neural posterior estimation

Reference 158

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Not too close! Evaluating the impact of the baseline on the localization of binary black holes by next-generation gravitational-wave detectors cites this paper.

Not too close! Evaluating the impact of the baseline on the localization of binary black holes by next-generation gravitational-wave detectors Real-time gravitational-wave science with neural posterior estimation

Reference 125

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

Spectroscopy of analogue black holes using simulation-based inference Real-time gravitational-wave science with neural posterior estimation

Reference 83

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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 Real-time gravitational-wave science with neural posterior estimation

Reference 96

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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 Real-time gravitational-wave science with neural posterior estimation

Reference 36

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Normalizing flows for density estimation in multi-detector gravitational-wave searches cites this paper.

Normalizing flows for density estimation in multi-detector gravitational-wave searches Real-time gravitational-wave science with neural posterior estimation

Reference 35

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Observation 4a5fd840-8f19-43c3-bc1d-7e091247b273 · inbound

End-to-End Population Inference from Gravitational-Wave Strain using Transformers cites this paper.

End-to-End Population Inference from Gravitational-Wave Strain using Transformers Real-time gravitational-wave science with neural posterior estimation

Reference 33

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Observation d6d275b6-8af4-49ac-a465-fada70b9fa33 · 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 Real-time gravitational-wave science with neural posterior estimation

Reference 127

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GenSBI: Generative Methods for Simulation-Based Inference in JAX cites this paper.

GenSBI: Generative Methods for Simulation-Based Inference in JAX Real-time gravitational-wave science with neural posterior estimation

Reference 5

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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 Real-time gravitational-wave science with neural posterior estimation

Reference 89

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Observation aedbe349-0f70-46f5-915f-b105d1a445c7 · 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 Real-time gravitational-wave science with neural posterior estimation

Reference 101

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Observation f27f1d85-0129-4305-a850-ff89e877959d · 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 Real-time gravitational-wave science with neural posterior estimation

Reference 11

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Observation 55005f3c-0dad-4b1d-8e3e-9f2c6a616323 · inbound

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

Fortifying gravitational-wave population inference with normalizing flows Real-time gravitational-wave science with neural posterior estimation

Reference 58

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Observation 651b0c03-fd90-458d-b31d-276c571f8b15 · inbound

Improving low-latency multi-messenger follow-up of neutron star-black hole mergers with mode-by-mode filtering cites this paper.

Improving low-latency multi-messenger follow-up of neutron star-black hole mergers with mode-by-mode filtering Real-time gravitational-wave science with neural posterior estimation

Reference 80

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arxiv_id, observed 2026-07-03T18:08:46.383472Z

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Observation 83c193a2-f2eb-4d70-8aa1-a147724323f7 · 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 Real-time gravitational-wave science with neural posterior estimation

Reference 130

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arxiv_id, observed 2026-07-01T17:35:52.264440Z

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

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Observation 82a14954-f6f3-4ed0-8cd5-5f9a987b8304 · inbound

Neural posterior estimation of Galactic Binary signals for the LISA mission cites this paper.

Neural posterior estimation of Galactic Binary signals for the LISA mission Real-time gravitational-wave science with neural posterior estimation

Reference 32

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arxiv_id, observed 2026-06-30T08:14:26.045093Z

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Observation 34abcb55-b149-4b2f-95db-f62755b4c95c · 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 Real-time gravitational-wave science with neural posterior estimation

Reference 27

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

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source=pdf_text observed=2026-07-12T02:13:50.235522Z digest=sha256:909f5e6e92d810a67e267328c5a253c5c08aefb250e83dc3ee0a5335928e2b83

Observation e00e97dd-1922-400e-9d0d-7e9d70682227 · 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 Real-time gravitational-wave science with neural posterior estimation

Reference 27

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

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source=pdf_text observed=2026-07-13T07:05:05.761630Z digest=sha256:173470aa6e57a0666d15f22f029b32ba5c4419421a67abb2fc2cd88fbb547875

Observation af8790a2-db8c-4663-b710-2cedf03382f0 · inbound

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

Identifying lensed gravitational waves with physics-informed posterior learning Real-time gravitational-wave science with neural posterior estimation

Reference 152

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

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source=pdf_text observed=2026-07-11T23:16:00.672720Z digest=sha256:8cbad405925a52ad78e88297d58be3ff2cd3775dd522cdb43e790d7563f598b9

Observation 7e34bd20-6741-4a55-9c82-00b9866800e0 · inbound

Joint inference for gravitational-wave signal and noise glitch: Method and application cites this paper.

Joint inference for gravitational-wave signal and noise glitch: Method and application Real-time gravitational-wave science with neural posterior estimation

Reference 23

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no resolver link, observed 2026-07-13T05:20:32.887480Z

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source=pdf_text observed=2026-07-13T05:20:32.887480Z digest=sha256:3578be08b33910738909b55747deedb8139bb99b728302b24d793ec38363266e

Observation d5fc9cec-f6d4-4bcd-81ae-159553e5cb48 · 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 Real-time gravitational-wave science with neural posterior estimation

Reference 7

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unresolved
no resolver link, observed 2026-08-01T07:00:58.343515Z

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source=arxiv_source observed=2026-08-01T07:00:58.343515Z digest=sha256:1bec5cf98bbe4e1380a4f612fd4deeb973899edf6c9611fc50d3dbf4b29f332b

Observation 4981442a-d686-4eb6-b6b9-7894e6b5ac64 · 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 Real-time gravitational-wave science with neural posterior estimation

Reference 52

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no resolver link, observed 2026-07-31T04:58:16.804352Z

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source=pdf_text observed=2026-07-31T04:58:16.804352Z digest=sha256:13f2bc3593e14e679e09369a3fd7a93cd09899793627d32f0b58ed9599bfc686

Observation 482be0f5-7146-4888-bbf2-e817545fe962 · inbound

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

Ab Initio Real-Time Gravitational-Wave Parameter Estimation Real-time gravitational-wave science with neural posterior estimation

Reference 45

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no resolver link, observed 2026-07-31T12:51:48.560631Z

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source=pdf_text observed=2026-07-31T12:51:48.560631Z digest=sha256:38f25a5608ca61660c64a316c3e4b67884aed0d03ffd181a0fd2223d9b9a136c

Observation 547ef0e0-883f-4497-8790-2ca1a4c18bdc · inbound

Unified remnant models for aligned-spin, precessing, and eccentric binary black hole mergers cites this paper.

Unified remnant models for aligned-spin, precessing, and eccentric binary black hole mergers Real-time gravitational-wave science with neural posterior estimation

Reference 120

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no resolver link, observed 2026-08-06T00:42:42.215973Z

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source=pdf_text observed=2026-08-06T00:42:42.215973Z digest=sha256:04a9a327ebfa124213032be2eaaa956877b626851375d0d1ac7c71cbd3b0dea2