Paper Citation Record · LEDGER

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder

As of 12 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2502.09266.

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

pith.paper-citation-record.v1
2502.09266 v2

Coverage vector

measured 43 of 43 reference resolution

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Reference resolution

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External citation measurements

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Outbound references

Observation 81e975fb-74b0-4344-87ae-16225e233e2a · outbound

This paper cites an unresolved cited work.

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Unresolved cited work

Reference 1

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This paper cites an unresolved cited work.

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Unresolved cited work

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This paper cites Abbott, T.

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Abbott, T

Reference 3

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This paper cites Abbott, T.

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Abbott, T

Reference 4

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This paper cites Hu and Y.-L.

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Hu and Y.-L

Reference 5

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This paper cites Laser Interferometer Space Antenna.

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Laser Interferometer Space Antenna

Reference 6

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This paper cites Luo, L.-S.

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Luo, L.-S

Reference 7

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This paper cites Zhang, Y.

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Zhang, Y

Reference 9

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Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Unresolved cited work

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Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Unresolved cited work

Reference 11

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This paper cites Marsat, J.

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Marsat, J

Reference 12

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Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Unresolved cited work

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This paper cites Christensen and R.

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Christensen and R

Reference 14

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This paper cites Raymond, M.

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Raymond, M

Reference 15

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Observation 14bc3a5e-c8d7-43a5-96e7-7f7cd11cacca · outbound

This paper cites Skilling, Nested sampling for general Bayesian compu- tation, Bayesian Analysis 1, 833 (2006).

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Skilling, Nested sampling for general Bayesian compu- tation, Bayesian Analysis 1, 833 (2006)

Reference 16

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Observation 8939a368-bb40-4716-b35c-433f270da2bb · outbound

This paper cites Gabbard, C.

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Gabbard, C

Reference 17

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Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Unresolved cited work

Reference 18

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Observation 8ceafba6-cf3c-4a3e-b44c-a606a362a5d9 · outbound

This paper cites Advancing Space-Based Gravitational Wave Astronomy: Rapid Parameter Estimation via Normalizing Flows.

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Advancing Space-Based Gravitational Wave Astronomy: Rapid Parameter Estimation via Normalizing Flows

Reference 19

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Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Unresolved cited work

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This paper cites Ye, H.-M.

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Ye, H.-M

Reference 21

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Observation 05b3bf7b-0e2d-4236-a39e-1c3523277991 · outbound

This paper cites Relative Binning and Fast Likelihood Evaluation for Gravitational Wave Parameter Estimation.

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Relative Binning and Fast Likelihood Evaluation for Gravitational Wave Parameter Estimation

Reference 22

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This paper cites Leslie, L.

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Leslie, L

Reference 23

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This paper cites Vinciguerra, J.

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Vinciguerra, J

Reference 24

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This paper cites Canizares, S.

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Canizares, S

Reference 25

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This paper cites Cai, Z.-K.

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Cai, Z.-K

Reference 26

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This paper cites Liang, Y.

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Liang, Y

Reference 27

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Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Unresolved cited work

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Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Unresolved cited work

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This paper cites Buchner, A.

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Buchner, A

Reference 30

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Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Feroz and M

Reference 31

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Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Feroz, M

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Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Unresolved cited work

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Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Barbary, nestle: Pure python, mit-licensed imple- mentation of nested sampling algorithms for evaluat- ing bayesian evidence, https://github.com/kbarbary/ nestle

Reference 34

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Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Unresolved cited work

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Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Tonolini, J

Reference 37

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Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Unresolved cited work

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Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Unresolved cited work

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Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Ashton, M

Reference 40

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Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Unresolved cited work

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

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Parameter estimation of microlensed gravitational waves with Conditional Variational Autoencoders

Reference 42

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Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder Parzen, On estimation of a probability density func- tion and mode, The annals of mathematical statistics 33, 1065 (1962)

Reference 43

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Pith citing papers

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