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Paper Citation Record · LEDGER

Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2304.06138.

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pith.paper-citation-record.v1
2304.06138 v2

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measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:36:27.748730Z

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External citation measurements

2
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Outbound references

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Pith citing papers

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The Long Road to Alignment: Measuring Black Hole Spin Orientation with Expanding Gravitational-Wave Datasets cites this paper.

The Long Road to Alignment: Measuring Black Hole Spin Orientation with Expanding Gravitational-Wave Datasets Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

Reference 93

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Comparing astrophysical models to gravitational-wave data in the observable space cites this paper.

Comparing astrophysical models to gravitational-wave data in the observable space Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

Reference 63

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Disentangling spinning and nonspinning binary black hole populations with spin sorting cites this paper.

Disentangling spinning and nonspinning binary black hole populations with spin sorting Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

Reference 77

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Observation 18437561-fb27-4ec3-a1e2-6b7651a4f888 · inbound

When (not) to trust Monte Carlo approximations for hierarchical Bayesian inference cites this paper.

When (not) to trust Monte Carlo approximations for hierarchical Bayesian inference Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

Reference 64

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Measurement prospects for the pair-instability mass cutoff with gravitational waves cites this paper.

Measurement prospects for the pair-instability mass cutoff with gravitational waves Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

Reference 109

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A unified harmonic framework for dark siren cosmology cites this paper.

A unified harmonic framework for dark siren cosmology Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

Reference 111

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Emergent structure in the binary black hole mass distribution and implications for population-based cosmology cites this paper.

Emergent structure in the binary black hole mass distribution and implications for population-based cosmology Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

Reference 116

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Gravitational-wave astronomy requires population-informed parameter estimation cites this paper.

Gravitational-wave astronomy requires population-informed parameter estimation Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

Reference 40

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Gravitational-wave astronomy requires population-informed parameter estimation cites this paper.

Gravitational-wave astronomy requires population-informed parameter estimation Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

Reference 40

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How do the LIGO-Virgo-KAGRA's Heavy Black Holes Form? No evidence for core-collapse Intermediate-mass black holes in GWTC-4 cites this paper.

How do the LIGO-Virgo-KAGRA's Heavy Black Holes Form? No evidence for core-collapse Intermediate-mass black holes in GWTC-4 Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

Reference 182

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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 Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

Reference 11

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Constraints on primordial black holes from the first part of LIGO-Virgo-KAGRA fourth observing run cites this paper.

Constraints on primordial black holes from the first part of LIGO-Virgo-KAGRA fourth observing run Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

Reference 93

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Constraints on primordial black holes from the first part of LIGO-Virgo-KAGRA fourth observing run cites this paper.

Constraints on primordial black holes from the first part of LIGO-Virgo-KAGRA fourth observing run Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

Reference 93

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Observation 236954c6-b869-4f72-b9fc-ca02bd77eb24 · inbound

Gravitational-wave constraints on $H_0$ are robust to (putative) redshift evolution in the binary black hole mass spectrum at current sensitivity cites this paper.

Gravitational-wave constraints on $H_0$ are robust to (putative) redshift evolution in the binary black hole mass spectrum at current sensitivity Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

Reference 43

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Scalable Dark Siren Cosmology with gwcosmo: GPU Acceleration, Validation and Systematics cites this paper.

Scalable Dark Siren Cosmology with gwcosmo: GPU Acceleration, Validation and Systematics Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

Reference 38

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Constraining Gravitational Wave Memory with Hierarchical Inference cites this paper.

Constraining Gravitational Wave Memory with Hierarchical Inference Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

Reference 144

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The first decade of gravitational-wave measurements of black hole spins cites this paper.

The first decade of gravitational-wave measurements of black hole spins Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

Reference 266

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Evidence for additional structure in the effective spin distribution hints at multiple formation pathways in GWTC-5.0 cites this paper.

Evidence for additional structure in the effective spin distribution hints at multiple formation pathways in GWTC-5.0 Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

Reference 124

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

Fortifying gravitational-wave population inference with normalizing flows Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

Reference 24

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First analytical coverage bounds of a fully specified nested sampling algorithm cites this paper.

First analytical coverage bounds of a fully specified nested sampling algorithm Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

Reference 24

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Joint population and strong-lensing inference for resolved gravitational-wave events probes the black-hole merger rate beyond the peak of star formation cites this paper.

Joint population and strong-lensing inference for resolved gravitational-wave events probes the black-hole merger rate beyond the peak of star formation Growing Pains: Understanding the Impact of Likelihood Uncertainty on Hierarchical Bayesian Inference for Gravitational-Wave Astronomy

Reference 59

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