Paper Citation Record · LEDGER

Denoising Milky Way stellar survey data with normalizing flow models

As of 9 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2505.16553.

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

pith.paper-citation-record.v1
2505.16553 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

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One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:07:28.433217Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T06:16:28.064256Z

Reference resolution

49 of 49 outbound references displayed

verified exact6
verified fuzzy1
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External citation measurements

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Outbound references

Observation 5b7b082d-ed83-4dd6-ad8e-48d7435a56df · outbound

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

Denoising Milky Way stellar survey data with normalizing flow models W., Leistedt B., Price-Whelan A

Reference 1

Resolution: verified exact; doi, observed 2026-08-07T15:05:25.440892Z

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Observation d6dbb014-993a-4b00-b464-40caf8325337 · outbound

This paper cites an unresolved cited work.

Denoising Milky Way stellar survey data with normalizing flow models Unresolved cited work

Reference 2

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Observation 3d4cd65e-da5e-4192-b962-1f343c154a5e · outbound

This paper cites an unresolved cited work.

Denoising Milky Way stellar survey data with normalizing flow models Unresolved cited work

Reference 3

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Observation 80d52d5f-547b-4a71-94d9-c7bc2406c99b · outbound

This paper cites an unresolved cited work.

Denoising Milky Way stellar survey data with normalizing flow models Unresolved cited work

Reference 4

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Observation 90be4bf3-1546-4a61-8e35-c9b321ad53a6 · outbound

This paper cites an unresolved cited work.

Denoising Milky Way stellar survey data with normalizing flow models Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:20.128227Z

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Observation b09a3046-21aa-45f5-bf6f-4dccbf94feee · outbound

This paper cites W., Roweis S.

Denoising Milky Way stellar survey data with normalizing flow models W., Roweis S

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:20.261175Z

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Observation be7b9725-c9f7-41ee-95dd-9dd5ac54f2e7 · outbound

This paper cites J., Hall P., 1988, Journal of the American Statistical Association, 83, 1184.

Denoising Milky Way stellar survey data with normalizing flow models J., Hall P., 1988, Journal of the American Statistical Association, 83, 1184

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:25.827443Z

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Observation a317560d-8a40-4c41-81ec-7d8c1ef99cc1 · outbound

This paper cites Unsupervised Learning for Stellar Spectra with Deep Normalizing Flows.

Denoising Milky Way stellar survey data with normalizing flow models Unsupervised Learning for Stellar Spectra with Deep Normalizing Flows

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:05:25.228652Z

Source-reported events for the cited work

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Observation 70854b94-e4e5-4895-ba27-e3da514a78e6 · outbound

This paper cites an unresolved cited work.

Denoising Milky Way stellar survey data with normalizing flow models Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:20.524990Z

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Unavailable: canonical work link unavailable.

Observation d96ba803-6bb9-4955-8320-68952362b05b · outbound

This paper cites an unresolved cited work.

Denoising Milky Way stellar survey data with normalizing flow models Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:20.640983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a27820c9-cc33-4b8e-87a1-f883a7c0c279 · outbound

This paper cites Density estimation with heteroscedastic error.

Denoising Milky Way stellar survey data with normalizing flow models Density estimation with heteroscedastic error

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:05:24.987504Z

Source-reported events for the cited work

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Observation 00e5ba8a-42cf-4432-8fb3-3bf219544836 · outbound

This paper cites A., Bovy J., Myers A.

Denoising Milky Way stellar survey data with normalizing flow models A., Bovy J., Myers A

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:20.841491Z

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Observation db094afa-a931-491a-b721-88025cb63612 · outbound

This paper cites NICE: Non-linear Independent Components Estimation.

Denoising Milky Way stellar survey data with normalizing flow models NICE: Non-linear Independent Components Estimation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:20.874870Z

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Observation ea4b9b9b-b2eb-4ded-8123-ae2973823b8d · outbound

This paper cites Density Deconvolution with Normalizing Flows.

Denoising Milky Way stellar survey data with normalizing flow models Density Deconvolution with Normalizing Flows

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:20.947514Z

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Observation 538bd072-771b-487a-8c35-3c653a8b087c · outbound

This paper cites Neural Spline Flows.

Denoising Milky Way stellar survey data with normalizing flow models Neural Spline Flows

Reference 15

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Source-reported events for the cited work

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Observation 81a78127-bdc1-4dae-8234-79a65a2f3b10 · outbound

This paper cites an unresolved cited work.

Denoising Milky Way stellar survey data with normalizing flow models Unresolved cited work

Reference 16

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Observation 0ab5a2ae-133f-47bd-b273-45114700ec8c · outbound

This paper cites J., Buddelmeijer H., Trager S.

Denoising Milky Way stellar survey data with normalizing flow models J., Buddelmeijer H., Trager S

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:21.146308Z

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Unavailable: canonical work link unavailable.

Observation 595f31a4-bbc1-4d2e-9549-e07af1aeaa97 · outbound

This paper cites an unresolved cited work.

Denoising Milky Way stellar survey data with normalizing flow models Unresolved cited work

Reference 18

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Observation f06e367f-0d77-49d1-8304-bef05c1c337d · outbound

This paper cites an unresolved cited work.

Denoising Milky Way stellar survey data with normalizing flow models Unresolved cited work

Reference 19

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Observation 5cf21b5f-0595-4d9f-b65a-987ad08cafe2 · outbound

This paper cites an unresolved cited work.

Denoising Milky Way stellar survey data with normalizing flow models Unresolved cited work

Reference 20

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Observation 01bc7cb7-cad3-4413-85f5-22734e94397f · outbound

This paper cites an unresolved cited work.

Denoising Milky Way stellar survey data with normalizing flow models Unresolved cited work

Reference 21

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Observation 763171fd-af6f-4819-9cee-4363a357a42e · outbound

This paper cites FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models.

Denoising Milky Way stellar survey data with normalizing flow models FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models

Reference 22

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Observation de4e66cb-dbeb-45a9-ab5e-38c7ab5aa634 · outbound

This paper cites Deep Potential: Recovering the gravitational potential from a snapshot of phase space.

Denoising Milky Way stellar survey data with normalizing flow models Deep Potential: Recovering the gravitational potential from a snapshot of phase space

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:21.734804Z

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Observation 27b251f8-ae1b-4448-92d0-0e50b18af3d9 · outbound

This paper cites M., Ting Y.-S., Kamdar H., 2023, @doi [ ] 10.3847/1538-4357/aca3a7 , https://ui.adsabs.harvard.edu/abs/2023ApJ...942...26G 942, 26.

Denoising Milky Way stellar survey data with normalizing flow models M., Ting Y.-S., Kamdar H., 2023, @doi [ ] 10.3847/1538-4357/aca3a7 , https://ui.adsabs.harvard.edu/abs/2023ApJ...942...26G 942, 26

Reference 24

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Observation c85f435c-d11f-4636-8499-589ed30c2a77 · outbound

This paper cites R., et al., 2020, @doi [ ] 10.1038/s41586-020-2649-2 , https://ui.adsabs.harvard.edu/abs/2020Natur.585..357H 585, 357.

Denoising Milky Way stellar survey data with normalizing flow models R., et al., 2020, @doi [ ] 10.1038/s41586-020-2649-2 , https://ui.adsabs.harvard.edu/abs/2020Natur.585..357H 585, 357

Reference 25

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Observation 4442093c-e786-46db-a41c-bdf17aef3c54 · outbound

This paper cites D., 2007, @doi [Computing in Science and Engineering] 10.1109/MCSE.2007.55 , https://ui.adsabs.harvard.edu/abs/2007CSE.....9...90H 9, 90.

Denoising Milky Way stellar survey data with normalizing flow models D., 2007, @doi [Computing in Science and Engineering] 10.1109/MCSE.2007.55 , https://ui.adsabs.harvard.edu/abs/2007CSE.....9...90H 9, 90

Reference 26

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Observation 54316028-70dc-444c-aa02-23c59c5b71e5 · outbound

This paper cites M., Ghosh S., 2024, @doi [ ] 10.1093/mnras/stae011 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.52712284K 527, 12284.

Denoising Milky Way stellar survey data with normalizing flow models M., Ghosh S., 2024, @doi [ ] 10.1093/mnras/stae011 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.52712284K 527, 12284

Reference 27

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Observation 3d7e2e3b-5290-44ce-aeda-82f9bf047038 · outbound

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

Denoising Milky Way stellar survey data with normalizing flow models Extreme Deconvolution Reimagined: Conditional Densities via Neural Networks and an Application in Quasar Classification

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:22.182974Z

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Unavailable: canonical work link unavailable.

Observation 6b13454e-b8c2-44ef-93c8-9b7b04f2ab6e · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Denoising Milky Way stellar survey data with normalizing flow models Adam: A Method for Stochastic Optimization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:22.242290Z

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Unavailable: canonical work link unavailable.

Observation 0d01b7bf-93bb-4fe1-8eeb-34d063819755 · outbound

This paper cites Glow: Generative Flow with Invertible 1x1 Convolutions.

Denoising Milky Way stellar survey data with normalizing flow models Glow: Generative Flow with Invertible 1x1 Convolutions

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:22.273641Z

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Unavailable: canonical work link unavailable.

Observation 11ea8659-c7c6-4bc5-8b88-9a008d813d6f · outbound

This paper cites Auto-Encoding Variational Bayes.

Denoising Milky Way stellar survey data with normalizing flow models Auto-Encoding Variational Bayes

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:22.316565Z

Source-reported events for the cited work

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Observation 0fee0f62-a687-408a-b3b0-aaf1dde97898 · outbound

This paper cites M., Kraus A.

Denoising Milky Way stellar survey data with normalizing flow models M., Kraus A

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:22.384260Z

Source-reported events for the cited work

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Observation ba03ff57-2f8d-4481-baaa-fdd77790bb00 · outbound

This paper cites emPDF: Inferring the Milky Way mass with data-driven distribution function in phase space.

Denoising Milky Way stellar survey data with normalizing flow models emPDF: Inferring the Milky Way mass with data-driven distribution function in phase space

Reference 33

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Observation d85d8c81-cd4e-433e-9b87-20a3343ef4ce · outbound

This paper cites H., Putney E., Buckley M.

Denoising Milky Way stellar survey data with normalizing flow models H., Putney E., Buckley M

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8edb884-95ab-40b1-b5e4-01da8c81af89 · outbound

This paper cites Gaussianization Flows.

Denoising Milky Way stellar survey data with normalizing flow models Gaussianization Flows

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:05:24.348704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation da84998f-b619-4ad5-b885-e93136dfaacb · outbound

This paper cites C., Figueras F., Roca-F \`a brega S., Luri X., 2019, @doi [ ] 10.1051/0004-6361/201935105 , https://ui.adsabs.harvard.edu/abs/2019A&A...624L...1M 624, L1.

Denoising Milky Way stellar survey data with normalizing flow models C., Figueras F., Roca-F \`a brega S., Luri X., 2019, @doi [ ] 10.1051/0004-6361/201935105 , https://ui.adsabs.harvard.edu/abs/2019A&A...624L...1M 624, L1

Reference 36

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Observation b6b45c2f-4c8e-4800-8619-01747012ee8d · outbound

This paper cites Neural Importance Sampling.

Denoising Milky Way stellar survey data with normalizing flow models Neural Importance Sampling

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cec236e9-8b23-4b5f-92f4-c791685c0d84 · outbound

This paper cites Masked Autoregressive Flow for Density Estimation.

Denoising Milky Way stellar survey data with normalizing flow models Masked Autoregressive Flow for Density Estimation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:22.714416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6eb2d559-e7ff-4110-8060-2c55fbe8af12 · outbound

This paper cites Normalizing Flows for Probabilistic Modeling and Inference.

Denoising Milky Way stellar survey data with normalizing flow models Normalizing Flows for Probabilistic Modeling and Inference

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:22.756528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4f3f2d2-b876-4683-9086-51f955dbfcc4 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Denoising Milky Way stellar survey data with normalizing flow models PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:22.821167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b947b47-3fa0-4e25-bc59-503be46f0848 · outbound

This paper cites an unresolved cited work.

Denoising Milky Way stellar survey data with normalizing flow models Unresolved cited work

Reference 41

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Source-reported events for the cited work

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Observation 555305b7-fd2f-49a0-a8c8-924615e889b7 · outbound

This paper cites an unresolved cited work.

Denoising Milky Way stellar survey data with normalizing flow models Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:22.978676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e54a1ddc-0434-4a53-949a-c925f6857065 · outbound

This paper cites Scalable Extreme Deconvolution.

Denoising Milky Way stellar survey data with normalizing flow models Scalable Extreme Deconvolution

Reference 43

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Observation d53547f8-016f-4dad-a013-47d1dbb3c8b7 · outbound

This paper cites an unresolved cited work.

Denoising Milky Way stellar survey data with normalizing flow models Unresolved cited work

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b28be027-1282-4861-9561-adedcd7638b1 · outbound

This paper cites an unresolved cited work.

Denoising Milky Way stellar survey data with normalizing flow models Unresolved cited work

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:23.183892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66cc8e4d-c9ad-4592-b99f-0da95bbcae93 · outbound

This paper cites an unresolved cited work.

Denoising Milky Way stellar survey data with normalizing flow models Unresolved cited work

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:23.235779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83905a08-6e72-4356-baff-e3ccd01e4244 · outbound

This paper cites Deep transformation models: Tackling complex regression problems with neural network based transformation models.

Denoising Milky Way stellar survey data with normalizing flow models Deep transformation models: Tackling complex regression problems with neural network based transformation models

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:05:23.927423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fad65584-8195-4ddd-8eec-bbf3e01e0c3d · outbound

This paper cites GalacticFlow: Learning a Generalized Representation of Galaxies with Normalizing Flows.

Denoising Milky Way stellar survey data with normalizing flow models GalacticFlow: Learning a Generalized Representation of Galaxies with Normalizing Flows

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:05:23.661503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 97e26b43-9c71-4eb6-9c95-7bbc2940a6a9 · outbound

This paper cites write newline.

Denoising Milky Way stellar survey data with normalizing flow models write newline

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:23.383521Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 55525600-ace1-4d6d-837d-600d39a4df0a · inbound

Deep Potential: Recovering the gravitational potential and local pattern speed in the solar neighborhood with GDR3 using normalizing flows cites this paper.

Deep Potential: Recovering the gravitational potential and local pattern speed in the solar neighborhood with GDR3 using normalizing flows Denoising Milky Way stellar survey data with normalizing flow models

Reference 108

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:07:28.491044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.