Paper Citation Record · LEDGER

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates

As of 20 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:1908.08045.

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

pith.paper-citation-record.v1
1908.08045 v1

Coverage vector

measured 32 of 32 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

32 of 32 outbound references displayed

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Outbound references

Observation ef11fd31-ce29-4609-bd11-cfa8ace3508a · outbound

This paper cites 2019, MNRAS, stz1960, doi: 10.1093/mnras/stz1960.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates 2019, MNRAS, stz1960, doi: 10.1093/mnras/stz1960

Reference 1

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Observation f4f244b2-090c-482c-970e-5cfca85b7534 · outbound

This paper cites W., Leistedt, B., Price-Whelan, A.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates W., Leistedt, B., Price-Whelan, A

Reference 2

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Observation 502780ac-c0aa-4798-bba6-85b5ca555607 · outbound

This paper cites an unresolved cited work.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates Unresolved cited work

Reference 3

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This paper cites 2018, A&A, 156, 58, doi: 10.3847/1538-3881/aacb21.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates 2018, A&A, 156, 58, doi: 10.3847/1538-3881/aacb21

Reference 4

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Observation afe2cd4d-8c71-470e-9638-9e8619749c67 · outbound

This paper cites 2016, extinction v0.3.0, doi: 10.5281/zenodo.804967.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates 2016, extinction v0.3.0, doi: 10.5281/zenodo.804967

Reference 5

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Observation 5b2ff62f-5420-4b9d-b3b0-375426c1bbf3 · outbound

This paper cites W., Price-Whelan, A.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates W., Price-Whelan, A

Reference 6

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Observation 9afd5aef-a405-4d60-b7b6-cde222372dde · outbound

This paper cites 2017, MNRAS, 470, 1360, doi: 10.1093/mnras/stx1277 Bovy Jo, Hogg, D.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates 2017, MNRAS, 470, 1360, doi: 10.1093/mnras/stx1277 Bovy Jo, Hogg, D

Reference 7

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Observation 6aa04470-d253-49f7-8373-a237f8d076e5 · outbound

This paper cites MadMiner: Machine learning-based inference for particle physics.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates MadMiner: Machine learning-based inference for particle physics

Reference 8

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Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates Unresolved cited work

Reference 9

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Observation 173fce09-875c-4488-88fd-a19b9a655e5f · outbound

This paper cites Density estimation using Real NVP.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates Density estimation using Real NVP

Reference 10

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Observation 71a51d0a-bd30-4822-8095-17b3c5705d2c · outbound

This paper cites MADE: Masked Autoencoder for Distribution Estimation.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates MADE: Masked Autoencoder for Distribution Estimation

Reference 11

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Observation 0c795189-db12-4607-b381-a9cd8e8bb072 · outbound

This paper cites 2010, in Proceedings of the thirteenth international conference on artiﬁcial intelligence and statistics, 249–256.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates 2010, in Proceedings of the thirteenth international conference on artiﬁcial intelligence and statistics, 249–256

Reference 12

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Observation 8f9b5a13-5343-430d-98fd-aabda800acec · outbound

This paper cites 2018, The Journal of Open Source Software, 3, 695, doi: 10.21105/joss.00695.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates 2018, The Journal of Open Source Software, 3, 695, doi: 10.21105/joss.00695

Reference 13

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Observation ddb5a951-5574-4f05-91f0-65e1ed094d12 · outbound

This paper cites A 3D Dust Map Based on Gaia, Pan-STARRS 1 and 2MASS.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates A 3D Dust Map Based on Gaia, Pan-STARRS 1 and 2MASS

Reference 14

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Observation 376dc4bd-2567-4924-a7e9-2e41fd5d7e0e · outbound

This paper cites M., Schlaﬂy, E.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates M., Schlaﬂy, E

Reference 15

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Observation 8817f9a6-3986-46e5-9816-5453efffdc42 · outbound

This paper cites J., Davies, G.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates J., Davies, G

Reference 16

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Observation 904e3c92-293d-470f-99bd-11e34ebb0437 · outbound

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Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates Unresolved cited work

Reference 17

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Observation 2af534cb-950d-46b8-9fe3-020f9f5c7d25 · outbound

This paper cites A likelihood function for the Gaia Data.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates A likelihood function for the Gaia Data

Reference 18

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Observation c027cd40-2c21-464b-859f-3ad47560422d · outbound

This paper cites 2017, ApJ, 844, 102, doi: 10.3847/1538-4357/aa75ca.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates 2017, ApJ, 844, 102, doi: 10.3847/1538-4357/aa75ca

Reference 19

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Observation 4a9af687-cd5a-4310-9b5d-00dc1a718384 · outbound

This paper cites E., Belokurov, V., Li, T.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates E., Belokurov, V., Li, T

Reference 20

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Observation 838f28b6-6dc9-413e-bcfc-6dae6a01fee3 · outbound

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Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates Unresolved cited work

Reference 21

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Observation c23a7db1-a5d7-40a1-97cf-19156f7ca819 · outbound

This paper cites 2018, A&A, 616, A2, doi: 10.1051/0004-6361/201832727.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates 2018, A&A, 616, A2, doi: 10.1051/0004-6361/201832727

Reference 22

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Observation d3a35180-b9a9-417b-9d5f-f48e4265194d · outbound

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Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates Unresolved cited work

Reference 23

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Observation 481d4a5b-b176-4aa9-b774-c1354bcfc0d2 · outbound

This paper cites A., & Martin, N.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates A., & Martin, N

Reference 24

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Observation b9bc7684-2b9a-41b8-b5f7-4c01102ef455 · outbound

This paper cites Masked Autoregressive Flow for Density Estimation.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates Masked Autoregressive Flow for Density Estimation

Reference 25

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Observation 00256d51-71a9-4154-9a2a-20e2f186a613 · outbound

This paper cites Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

Reference 26

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Observation b64aad51-d1b2-49fc-bdd6-f4dc6b92c1cd · outbound

This paper cites 2017, in NIPS Autodiﬀ Workshop.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates 2017, in NIPS Autodiﬀ Workshop

Reference 27

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Observation 3b1ddb72-fbb3-47af-b596-390c3aec9dd0 · outbound

This paper cites 2011, Journal of Machine Learning Research, 12, 2825.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates 2011, Journal of Machine Learning Research, 12, 2825

Reference 28

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Observation dfc181f9-6072-487a-addc-90fb541347b7 · outbound

This paper cites M., & Bonaca, A.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates M., & Bonaca, A

Reference 29

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Observation 7f87648b-cc59-45bc-9cde-899fdfd51222 · outbound

This paper cites D., Evans, D.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates D., Evans, D

Reference 30

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Observation 8f766797-42d6-4a3d-9a96-945252e2f4f2 · outbound

This paper cites P., Tollerud, E.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates P., Tollerud, E

Reference 31

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This paper cites 2009, A&A, 503, 165, doi: 10.1051/0004-6361/200911918.

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates 2009, A&A, 503, 165, doi: 10.1051/0004-6361/200911918

Reference 32

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Pith citing papers

Observation 7cdb0890-fd32-4773-9e0e-c69e2ccfb703 · inbound

Extreme Deconvolution Reimagined: Conditional Densities via Neural Networks and an Application in Quasar Classification cites this paper.

Extreme Deconvolution Reimagined: Conditional Densities via Neural Networks and an Application in Quasar Classification Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates

Reference 12

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