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Paper Citation Record · LEDGER

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels

As of 18 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 1 inbound Pith citation observation for arXiv:2502.01745.

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

pith.paper-citation-record.v1
2502.01745 v2

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:42:47.959254Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:22:31.846529Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

75 of 75 outbound references displayed

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  • verified fuzzy2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 81eba1b6-9bd3-4720-9fe3-88531b0372b6 · outbound

This paper cites - [1] #1 = = ^ ^ ^ .\!\!^ d .\!\!^ h .\!\!^ m .\!\!^ s .\!\!^ @mss.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels - [1] #1 = = ^ ^ ^ .\!\!^ d .\!\!^ h .\!\!^ m .\!\!^ s .\!\!^ @mss

Reference 1

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Observation 976710db-21b1-4bc3-8830-0ab159deed83 · outbound

This paper cites 2022, , 259, 35, 10.3847/1538-4365/ac4414.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels 2022, , 259, 35, 10.3847/1538-4365/ac4414

Reference 2

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Observation a8e48cfb-e7c4-422f-b1dd-71608fb92054 · outbound

This paper cites C., Wilhelm , R., et al.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels C., Wilhelm , R., et al

Reference 3

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Observation f62bccc0-6895-4745-a1f4-57c47ac40f79 · outbound

This paper cites 2023 b , , 267, 8, 10.3847/1538-4365/acd53e.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels 2023 b , , 267, 8, 10.3847/1538-4365/acd53e

Reference 5

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Observation e123c019-f8c3-41cb-8fd8-fc0cdb8daff7 · outbound

This paper cites Autoencoders.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels Autoencoders

Reference 7

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Observation f3afba7c-26b8-4cbc-a634-6b7011447e04 · outbound

This paper cites Final Targeting Strategy for the SDSS-IV APOGEE-2N Survey.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels Final Targeting Strategy for the SDSS-IV APOGEE-2N Survey

Reference 8

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Observation 172df7c6-d8f2-4b23-8b0f-8d5a28f8f3a6 · outbound

This paper cites R., Bershady , M.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels R., Bershady , M

Reference 9

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Observation 304e4df9-bba4-4d40-b996-350a47fc9446 · outbound

This paper cites Efficient and Modular Implicit Differentiation.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels Efficient and Modular Implicit Differentiation

Reference 10

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Observation b3940953-7128-40a9-b2ab-bd8c9d94a3e3 · outbound

This paper cites S., & Vaughan , A.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels S., & Vaughan , A

Reference 11

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Observation 9659f3aa-33b8-4b34-9bbb-a71f25f1fe17 · outbound

This paper cites 2018, JAX : composable transformations of P ython+ N um P y programs, 0.3.13.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels 2018, JAX : composable transformations of P ython+ N um P y programs, 0.3.13

Reference 12

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Observation 75b78878-81d9-46a9-b8c8-70635d6b6287 · outbound

This paper cites Deep Multimodal Representation Learning for Stellar Spectra.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels Deep Multimodal Representation Learning for Stellar Spectra

Reference 13

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Observation 84feec1f-4bb8-416b-83b0-324f2b380eb1 · outbound

This paper cites The GALAH+ Survey: Third Data Release.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels The GALAH+ Survey: Third Data Release

Reference 14

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Observation 078a157d-65f3-4c50-b2ac-4689869e2d73 · outbound

This paper cites The Cannon 2: A data-driven model of stellar spectra for detailed chemical abundance analyses.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels The Cannon 2: A data-driven model of stellar spectra for detailed chemical abundance analyses

Reference 15

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Observation 18eb5be4-b164-400c-b9bd-fbb9dadfdeca · outbound

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

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels Unsupervised Learning for Stellar Spectra with Deep Normalizing Flows

Reference 16

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Observation 4448ff5f-4c2c-4345-8aa6-4bf851056b91 · outbound

This paper cites P., Koposov, S.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels P., Koposov, S

Reference 17

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Observation 65d4912f-35d4-46fb-a10e-c9d6b27afb4e · outbound

This paper cites V., Hasselquist , S., et al.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels V., Hasselquist , S., et al

Reference 18

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Observation 42d84ddd-ae0e-4b74-9db6-046cec4fa93c · outbound

This paper cites S., Bellido-Tirado , O., Chiappini , C., et al.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels S., Bellido-Tirado , O., Chiappini , C., et al

Reference 19

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Observation f354e006-ba2d-42dc-b9b0-ad024fb4b7f9 · outbound

This paper cites W., Rix , H.-W., & Ness , M.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels W., Rix , H.-W., & Ness , M

Reference 20

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels Unresolved cited work

Reference 21

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This paper cites Gaia Early Data Release 3: Summary of the contents and survey properties.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels Gaia Early Data Release 3: Summary of the contents and survey properties

Reference 22

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels Unresolved cited work

Reference 23

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This paper cites E., Allende Prieto , C., Holtzman , J.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels E., Allende Prieto , C., Holtzman , J

Reference 24

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This paper cites 2012, The Messenger, 147, 25.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels 2012, The Messenger, 147, 25

Reference 25

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels 2024, , 682, A9, 10.1051/0004-6361/202347122

Reference 26

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels E., Siegmund , W

Reference 27

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels 2008, , 486, 951, 10.1051/0004-6361:200809724

Reference 28

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels J., Davies , G

Reference 29

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels 2016, , 833, 81, 10.3847/1538-4357/833/1/81

Reference 30

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels Unresolved cited work

Reference 31

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels Unresolved cited work

Reference 32

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels W., Eilers, A.-C., & Rix, H.-W

Reference 33

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels P., Mackereth , J

Reference 34

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels Unresolved cited work

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels C., Dalton, G

Reference 36

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels 2014, , 564, A133, 10.1051/0004-6361/201322440

Reference 37

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels SpectraFM: Tuning into Stellar Foundation Models

Reference 38

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels SDSS-V: Pioneering Panoptic Spectroscopy

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels 2013, , 146, 134, 10.1088/0004-6256/146/5/134

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Observation b83cacd2-e1e8-449f-be85-06540f83ba6d · outbound

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels W., & Bovy, J

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels J., Cannon , R

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels Unresolved cited work

Reference 43

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels R., Schiavon , R

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels K., et al

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Observation cc7b8878-742e-4e2b-9b0c-3089b4b6d89e · outbound

This paper cites L., Sharma , S., Buder , S., et al.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels L., Sharma , S., Buder , S., et al

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Observation b39f6f3b-9d7c-41da-a803-53e939386fcb · outbound

This paper cites Data-driven Discovery of Diffuse Interstellar Bands with APOGEE Spectra.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels Data-driven Discovery of Diffuse Interstellar Bands with APOGEE Spectra

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This paper cites E., et al.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels E., et al

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This paper cites 2022, , 164, 85, 10.3847/1538-3881/ac7ce5.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels 2022, , 164, 85, 10.3847/1538-3881/ac7ce5

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Observation 5fb8d1ac-c9c4-4c7e-9980-4973a72cdcbb · outbound

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels W., Rix , H

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Observation 3b1375dc-5405-417f-9adc-6665102d9f00 · outbound

This paper cites W., Rix , H.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels W., Rix , H

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This paper cites 2016, , 152, 14, 10.3847/0004-6256/152/1/14.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels 2016, , 152, 14, 10.3847/0004-6256/152/1/14

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Observation 00fe1191-189a-4b6f-b5e6-c1ef11ef1d62 · outbound

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels ACACIAS I: Element abundance labels for 192 stars in the dwarf galaxy NGC 6822

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Observation 5d876b35-0988-4019-97cf-e205ced3bd80 · outbound

This paper cites L., Holtzman , J.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels L., Holtzman , J

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Observation 2019c238-cff6-4a46-986c-ff640d5c39b9 · outbound

This paper cites L., Hasselquist, S., Hayes, C.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels L., Hasselquist, S., Hayes, C

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Observation ca65d04c-2054-4ab9-ba36-b4f6ee2fc311 · outbound

This paper cites A., Harva , M.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels A., Harva , M

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Observation d662c484-5113-40b0-b53f-d0fbb8663b71 · outbound

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels 2006--, NumPy : A guide to NumPy , USA: Trelgol Publishing

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels Unresolved cited work

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels TransformerPayne: enhancing spectral emulation accuracy and data efficiency by capturing long-range correlations

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels A., Beaton , R

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels P., Phillips , S

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This paper cites 2015, Journal of Astronomical Telescopes, Instruments, and Systems, 1, 035002, 10.1117/1.JATIS.1.3.035002.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels 2015, Journal of Astronomical Telescopes, Instruments, and Systems, 1, 035002, 10.1117/1.JATIS.1.3.035002

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels V., Bizyaev , D., Cunha , K., et al

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels 2006, , 132, 1645, 10.1086/506564

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels 2018, , 860, 159, 10.3847/1538-4357/aac6c9

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels 2019, , 879, 69, 10.3847/1538-4357/ab2331

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels H., Fragkoudi , F., & Ness , M

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels J., Abruzzo , M

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels C., Hearty , F

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels 2017, , 232, 2, 10.3847/1538-4365/aa80e4

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels 2019, , 245, 34, 10.3847/1538-4365/ab5364

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels J., et al

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels A., Frinchaboy , P

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$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels E., Chojnowski , S

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Observation c9b61443-2245-4bb7-90ca-7daf593fbbd2 · outbound

This paper cites 2008, Machine Learning, 73, 221, 10.1007/s10994-008-5050-1.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels 2008, Machine Learning, 73, 221, 10.1007/s10994-008-5050-1

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doi, observed 2026-08-09T14:42:47.989383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T14:42:47.956801Z digest=sha256:fe425138e46d6bba489b0b0dfbd8a3fdc8fcd73eb89d2d5e0c87aca715ae756f

Observation 22c92af1-e447-4eca-8dcf-e8b19b82258e · outbound

This paper cites 2012, Research in Astronomy and Astrophysics, 12, 723, 10.1088/1674-4527/12/7/002.

$Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels 2012, Research in Astronomy and Astrophysics, 12, 723, 10.1088/1674-4527/12/7/002

Reference 77

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no resolver link, observed 2026-08-09T14:42:47.959254Z

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source=arxiv_source observed=2026-08-09T14:42:47.959254Z digest=sha256:eb047b540065ca039e819af6c8d5d120104fafbe3f2057a73bef5d1c7121b021

Pith citing papers

Observation f330eb3b-e512-4010-89a2-85dda551a780 · inbound

From stellar light to astrophysical insight: automating variable star research with machine learning cites this paper.

From stellar light to astrophysical insight: automating variable star research with machine learning $Lux$: A generative, multi-output, latent-variable model for astronomical data with noisy labels

Reference 86

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unresolved
no resolver link, observed 2026-08-06T20:22:31.846529Z

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