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Paper Citation Record · LEDGER

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison

As of 14 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2506.04339.

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

pith.paper-citation-record.v1
2506.04339 v1

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measured 53 of 53 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

53 of 53 outbound references displayed

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External citation measurements

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Outbound references

Observation db5147fe-87cb-45d6-9b41-5782c074d6a4 · outbound

This paper cites an unresolved cited work.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Unresolved cited work

Reference 1

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Observation b18dc489-8109-4bbc-bcd5-a7165510ccf6 · outbound

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Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Unresolved cited work

Reference 2

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Observation aa46d267-2900-473a-92ba-6823417f9101 · outbound

This paper cites an unresolved cited work.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Unresolved cited work

Reference 3

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Observation 6814f08c-0523-4004-a46f-b46410c8bd13 · outbound

This paper cites Proximal nested sampling for high-dimensional Bayesian model selection.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Proximal nested sampling for high-dimensional Bayesian model selection

Reference 4

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Observation 289cd96c-d87e-42e9-8518-f7d6bb2695b4 · outbound

This paper cites JAX-COSMO: An End-to-End Differentiable and GPU Accelerated Cosmology Library.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison JAX-COSMO: An End-to-End Differentiable and GPU Accelerated Cosmology Library

Reference 5

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Observation e4f6d7c7-50f5-4f67-94be-faea0cb989a9 · outbound

This paper cites C., 2025, @doi [ ] 10.1093/mnras/staf663 , https://ui.adsabs.harvard.edu/abs/2025MNRAS.539.3220C 539, 3220.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison C., 2025, @doi [ ] 10.1093/mnras/staf663 , https://ui.adsabs.harvard.edu/abs/2025MNRAS.539.3220C 539, 3220

Reference 6

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Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Unresolved cited work

Reference 7

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Observation 888107f6-e54a-409f-8514-adfde9ded4a1 · outbound

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Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Unresolved cited work

Reference 8

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Observation c60703d0-e0e8-4b57-af54-da2117e72990 · outbound

This paper cites J., Kass R.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison J., Kass R

Reference 9

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Observation 5a41d4bd-36f7-45e1-a41b-646a707e5700 · outbound

This paper cites M., 1971, @doi [The Annals of Mathematical Statistics] 10.1214/aoms/1177693507 , 42, 204.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison M., 1971, @doi [The Annals of Mathematical Statistics] 10.1214/aoms/1177693507 , 42, 204

Reference 10

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Observation 9d9f575d-b567-4e54-9d52-78f13137390f · outbound

This paper cites an unresolved cited work.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Unresolved cited work

Reference 11

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Observation 1a5b5c0e-e97c-47f4-acde-b24d3e4a1880 · outbound

This paper cites J., Roweth D., 1987, @doi [Physics Letters B] https://doi.org/10.1016/0370-2693(87)91197-X , 195, 216.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison J., Roweth D., 1987, @doi [Physics Letters B] https://doi.org/10.1016/0370-2693(87)91197-X , 195, 216

Reference 12

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Observation 7b548198-8dc8-422f-93b9-213997c77c71 · outbound

This paper cites Neural Information Processing Systems Foundation, Inc, pp 7511--7522, https://neurips.cc/.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Neural Information Processing Systems Foundation, Inc, pp 7511--7522, https://neurips.cc/

Reference 13

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Observation 4788e066-94bd-4e31-b3c9-5f8d23c4dbc8 · outbound

This paper cites P., Bridges M., 2009, @doi [Monthly Notices of the Royal Astronomical Society] 10.1111/j.1365-2966.2009.14548.x , 398, 1601.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison P., Bridges M., 2009, @doi [Monthly Notices of the Royal Astronomical Society] 10.1111/j.1365-2966.2009.14548.x , 398, 1601

Reference 15

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Observation 0b5dedc1-783c-4aaa-b045-0faca9056ba4 · outbound

This paper cites Importance Nested Sampling and the MultiNest Algorithm.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Importance Nested Sampling and the MultiNest Algorithm

Reference 16

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Observation 3c9e4740-7b0b-4f05-b037-5c503f1efecb · outbound

This paper cites W., Lang D., Goodman J., 2013, @doi [ ] 10.1086/670067 , https://ui.adsabs.harvard.edu/abs/2013PASP..125..306F 125, 306.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison W., Lang D., Goodman J., 2013, @doi [ ] 10.1086/670067 , https://ui.adsabs.harvard.edu/abs/2013PASP..125..306F 125, 306

Reference 17

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Observation 752f06ed-f5f1-433f-a346-dc5699eb3228 · outbound

This paper cites J., Hobson M.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison J., Hobson M

Reference 18

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Observation 8aa96eb4-049a-45fb-aea4-125ee5ee8a51 · outbound

This paper cites J., Hobson M.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison J., Hobson M

Reference 19

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Observation 6e128b56-4cf2-48ef-b107-bf651ddad24e · outbound

This paper cites Marginal Likelihoods from Monte Carlo Markov Chains.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Marginal Likelihoods from Monte Carlo Markov Chains

Reference 20

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Observation 52b39169-f75b-4272-b830-3c797ac8c9ec · outbound

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Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Unresolved cited work

Reference 21

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Observation 8e3a62cd-97c3-4293-93dd-83fdf2efa27d · outbound

This paper cites D., Gelman A., 2014, J.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison D., Gelman A., 2014, J

Reference 22

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Observation 0319a20a-1f5e-4f48-a5aa-90124c4bed9e · outbound

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Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Unresolved cited work

Reference 23

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Observation 0d687c6d-4de5-4003-9fa3-6114007bd02d · outbound

This paper cites B., Liang D., eds, Proceedings of Machine Learning Research Vol.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison B., Liang D., eds, Proceedings of Machine Learning Research Vol

Reference 24

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Observation 011ad969-4388-4379-81d6-229803ecda8b · outbound

This paper cites D., Cyr-Racine F.-Y., Dor \'e O., 2020, @doi [ ] 10.1103/PhysRevD.101.123505 , https://ui.adsabs.harvard.edu/abs/2020PhRvD.101l3505K 101, 123505.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison D., Cyr-Racine F.-Y., Dor \'e O., 2020, @doi [ ] 10.1103/PhysRevD.101.123505 , https://ui.adsabs.harvard.edu/abs/2020PhRvD.101l3505K 101, 123505

Reference 25

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Observation 3776645d-cf9b-4210-81af-a90fd94f62ad · outbound

This paper cites U., 2023, @doi [ ] 10.1093/mnras/stad2441 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.525.3181L 525, 3181.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison U., 2023, @doi [ ] 10.1093/mnras/stad2441 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.525.3181L 525, 3181

Reference 26

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Observation 4f6ce9d4-9952-49db-8103-8d1c3ecc677e · outbound

This paper cites Optimal Neural Summarisation for Full-Field Weak Lensing Cosmological Implicit Inference.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Optimal Neural Summarisation for Full-Field Weak Lensing Cosmological Implicit Inference

Reference 27

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Observation e8ddeef4-73e0-449d-ab0c-7d84bad6d158 · outbound

This paper cites V., Verde L., 2014, @doi [ ] 10.1103/PhysRevLett.113.041301 , https://ui.adsabs.harvard.edu/abs/2014PhRvL.113d1301L 113, 041301.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison V., Verde L., 2014, @doi [ ] 10.1103/PhysRevLett.113.041301 , https://ui.adsabs.harvard.edu/abs/2014PhRvL.113d1301L 113, 041301

Reference 28

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Observation 1e597da9-af82-41ca-80cf-fcc62aab87f2 · outbound

This paper cites On resolving the Savage-Dickey paradox.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison On resolving the Savage-Dickey paradox

Reference 29

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Observation 8428e859-6434-4899-be5b-6c522951c25d · outbound

This paper cites Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator

Reference 30

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Observation 26279876-7d29-4485-a44f-b2152a5f8dbb · outbound

This paper cites Proximal nested sampling with data-driven priors for physical scientists.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Proximal nested sampling with data-driven priors for physical scientists

Reference 31

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Observation de2bdb68-79f5-46df-8b98-858e622cafb3 · outbound

This paper cites M., 1996, Bayesian Learning for Neural Networks, Vol.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison M., 1996, Bayesian Learning for Neural Networks, Vol

Reference 32

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Observation a45a0fae-3b67-4f51-baf6-b855ad8c4df8 · outbound

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Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Unresolved cited work

Reference 33

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Observation da140307-f24c-4541-8c05-3799d4b5bf82 · outbound

This paper cites Vol.2B: Bayesian inference, 2nd ed.] 10.2307/2291686 , 2B.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Vol.2B: Bayesian inference, 2nd ed.] 10.2307/2291686 , 2B

Reference 34

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Observation cc27abc6-4319-4e49-a4a2-619112f6e7d8 · outbound

This paper cites J., Mohamed S., Lakshminarayanan B., 2021, The Journal of Machine Learning Research, 22, 2617.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison J., Mohamed S., Lakshminarayanan B., 2021, The Journal of Machine Learning Research, 22, 2617

Reference 35

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Observation 5a56e465-85f0-4602-9f5b-455ac0aad709 · outbound

This paper cites S., Price M.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison S., Price M

Reference 36

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Observation a827f0d8-ca96-4d34-9651-d226db7d17e7 · outbound

This paper cites A., Spurio Mancini A., McEwen J.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison A., Spurio Mancini A., McEwen J

Reference 37

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 8c0701a7-fcec-408a-93e5-29466177bc50 · outbound

This paper cites A., Piras D., Spurio Mancini A., McEwen J.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison A., Piras D., Spurio Mancini A., McEwen J

Reference 38

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Observation 42ca441b-f354-44f2-9de1-0cf35b319a5d · outbound

This paper cites Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows

Reference 39

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Observation e70f8ca2-1ba8-409d-8adf-03ad42353ca6 · outbound

This paper cites Hierarchical inference of evidence using posterior samples.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Hierarchical inference of evidence using posterior samples

Reference 40

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 632e304e-4563-4ed2-88a0-52edb4ffba5d · outbound

This paper cites an unresolved cited work.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Unresolved cited work

Reference 41

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Observation 1fbccfdc-2ce4-4277-8afd-bec452ca2ab5 · outbound

This paper cites an unresolved cited work.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Unresolved cited work

Reference 42

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Observation 6d2b0873-0e2c-484e-bac5-bcef0c7e9bea · outbound

This paper cites S., 2020, @doi [ ] 10.1093/mnras/staa278 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.493.3132S 493, 3132.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison S., 2020, @doi [ ] 10.1093/mnras/staa278 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.493.3132S 493, 3132

Reference 43

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Observation 2b99b839-93b3-4f21-93fe-f8145ac1fb35 · outbound

This paper cites M., Price M.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison M., Price M

Reference 44

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unresolved
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Observation 73fd6991-6d9e-434f-8425-936a45bd5512 · outbound

This paper cites Field-level cosmological model selection: field-level simulation-based inference for Stage IV cosmic shear can distinguish dynamical dark energy.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Field-level cosmological model selection: field-level simulation-based inference for Stage IV cosmic shear can distinguish dynamical dark energy

Reference 45

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Observation f55c68bd-3701-4c2d-8d71-dc68d3a9a27e · outbound

This paper cites Bayesian evidence estimation from posterior samples with normalizing flows.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Bayesian evidence estimation from posterior samples with normalizing flows

Reference 46

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Observation e200eacf-e9e3-45c9-9115-d4a8355956b0 · outbound

This paper cites an unresolved cited work.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Unresolved cited work

Reference 47

Resolution
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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c9c69ed2-db98-40a9-bbc0-c9262fc8c1a4 · outbound

This paper cites J., Bartlett D.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison J., Bartlett D

Reference 48

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Observation 15558a79-aa74-49e5-b02f-c167e86320eb · outbound

This paper cites The Dark Energy Survey.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison The Dark Energy Survey

Reference 49

Resolution
unresolved
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Observation 60abbeca-902f-40b0-a22e-021f3b90a5cc · outbound

This paper cites an unresolved cited work.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Unresolved cited work

Reference 50

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unresolved
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Observation 3d7ec103-8e78-4ede-8e9d-1a0eab21c837 · outbound

This paper cites M., Mortlock D.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison M., Mortlock D

Reference 51

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 4942b6bc-0e84-4c34-b401-496e6c823749 · outbound

This paper cites an unresolved cited work.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Unresolved cited work

Reference 52

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T10:48:05.753678Z digest=sha256:7620433f728b6a8907f943bd67c9305cc9276fc6174612bb8483c6fc1f7ddf41

Observation 596bee7c-ede2-4e39-9398-892fb549f4c9 · outbound

This paper cites Simulation-Based Inference Benchmark for Weak Lensing Cosmology.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison Simulation-Based Inference Benchmark for Weak Lensing Cosmology

Reference 53

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Observation d203f8f8-8067-400f-9f04-cc73100f4b3d · outbound

This paper cites H., 2025, @doi [ ] 10.1051/0004-6361/202450487 , https://ui.adsabs.harvard.edu/abs/2025A&A...694A.223V 694, A223.

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison H., 2025, @doi [ ] 10.1051/0004-6361/202450487 , https://ui.adsabs.harvard.edu/abs/2025A&A...694A.223V 694, A223

Reference 54

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.