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Paper Citation Record · LEDGER

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

As of 13 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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measured 43 of 43 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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

Reference 2

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Observation 255d8273-c67d-48db-b71f-4a189dee8030 · outbound

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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Observation 91c60999-485e-4cd2-b9a4-01a1bff6a049 · outbound

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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Observation 846167fd-8cc2-4222-b676-b42e82ddbf3a · outbound

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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Observation 71c5eaf3-1b54-45a2-92b6-1f537c62f430 · outbound

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 an unresolved cited work.

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

Reference 8

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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

Reference 10

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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

Reference 11

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Observation e4e6986e-fdae-46b0-97cf-a2a51f4f6760 · outbound

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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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 13

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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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Observation b096132d-0e9f-4b56-a8e3-279da1e7f349 · outbound

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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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

Reference 20

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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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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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This paper cites Feroz and M.

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

Reference 31

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This paper cites Feroz, M.

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

Reference 32

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

Reference 33

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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

Reference 35

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Source-reported events for the cited work

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Observation 0b9705c3-d40d-4ff2-9f0d-67b8e7f50938 · 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 36

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation def9731b-4540-4149-b6bf-b250055c1523 · outbound

This paper cites Tonolini, J.

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

Reference 37

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 387f3929-7e5e-4d82-a93e-361d3d7ac34a · 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 38

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation f937fa03-a336-440b-81f7-9b4143a11992 · 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 39

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 303024ef-1c73-445c-9fb0-776aee9f191d · outbound

This paper cites Ashton, M.

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

Reference 40

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 8114372b-7eb0-4ad2-a6a2-177b3bd3a98b · 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 41

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 02346e91-11fa-41c3-aab7-b70a6d226a45 · outbound

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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2cd2b83e-d8f9-49c8-97c5-7b9993e45033 · outbound

This paper cites Parzen, On estimation of a probability density func- tion and mode, The annals of mathematical statistics 33, 1065 (1962).

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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Pith citing papers

No inbound Pith citation observations are available.