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Paper Citation Record · LEDGER

How to Find Variable Active Galactic Nuclei with Machine Learning

As of 16 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:1908.07542.

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

pith.paper-citation-record.v1
1908.07542 v1

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Outbound references

Observation 13e2e5c5-25ce-40e8-99d7-298e19fa37c7 · outbound

This paper cites 2019, MNRAS, 482, 5078.

How to Find Variable Active Galactic Nuclei with Machine Learning 2019, MNRAS, 482, 5078

Reference 1

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Observation cb4d5475-12f6-45a9-a705-8229c89755f7 · outbound

This paper cites J., Pollacco, D., & Santerne, A.

How to Find Variable Active Galactic Nuclei with Machine Learning J., Pollacco, D., & Santerne, A

Reference 2

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Observation a0155d01-d397-4274-9cc5-4ba9d00640e2 · outbound

This paper cites J., Kirk, J., Lam, K.

How to Find Variable Active Galactic Nuclei with Machine Learning J., Kirk, J., Lam, K

Reference 3

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Observation f362ef7f-6229-43d7-b8b0-1feb8a4545ea · outbound

This paper cites 2019, A&A, 622, A137.

How to Find Variable Active Galactic Nuclei with Machine Learning 2019, A&A, 622, A137

Reference 4

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Observation cd55e1e6-bc3c-4d47-877e-87d447ab4aac · outbound

This paper cites G., Benson, A.

How to Find Variable Active Galactic Nuclei with Machine Learning G., Benson, A

Reference 5

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Observation b725c7d1-6221-4dcd-9263-cfea47aedce2 · outbound

This paper cites R., West, R.

How to Find Variable Active Galactic Nuclei with Machine Learning R., West, R

Reference 6

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Observation 0d6919e1-7cbb-4fb5-8873-6264f01d97e4 · outbound

This paper cites Deep Learning for Image Sequence Classification of Astronomical Events.

How to Find Variable Active Galactic Nuclei with Machine Learning Deep Learning for Image Sequence Classification of Astronomical Events

Reference 7

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Observation cfae05c1-39ac-4507-a144-e3cb93589314 · outbound

This paper cites 2006, MNRAS, 370, 1651.

How to Find Variable Active Galactic Nuclei with Machine Learning 2006, MNRAS, 370, 1651

Reference 8

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Observation 7838f34d-b839-496b-a250-c0ee88fec52d · outbound

This paper cites 2017, ApJ, 837, L28.

How to Find Variable Active Galactic Nuclei with Machine Learning 2017, ApJ, 837, L28

Reference 9

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Observation d197ab5d-9a16-401b-b0ca-53b9b44d8384 · outbound

This paper cites J., Springel, V., White, S.

How to Find Variable Active Galactic Nuclei with Machine Learning J., Springel, V., White, S

Reference 10

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Observation 9eb77330-2f37-4c1d-a0e5-86a0054236da · outbound

This paper cites Horizon-AGN virtual observatory -- 2: Template-free estimates of galaxy properties from colours.

How to Find Variable Active Galactic Nuclei with Machine Learning Horizon-AGN virtual observatory -- 2: Template-free estimates of galaxy properties from colours

Reference 11

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Observation c96cb9fc-89f8-4186-9533-83222d3d8914 · outbound

This paper cites 2013, MNRAS, 433, 3297.

How to Find Variable Active Galactic Nuclei with Machine Learning 2013, MNRAS, 433, 3297

Reference 12

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Observation c6fc8fd7-9c6e-4806-ac7d-6256cb4b4602 · outbound

This paper cites S., Pacholczyk, A.

How to Find Variable Active Galactic Nuclei with Machine Learning S., Pacholczyk, A

Reference 13

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Observation 52c62f24-d534-4598-a756-0dcaf293b416 · outbound

This paper cites O., Sederberg, P.

How to Find Variable Active Galactic Nuclei with Machine Learning O., Sederberg, P

Reference 14

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Observation fff1d01d-bdf2-444c-af0c-8d28d1e1d1d3 · outbound

This paper cites Bringing manifold learning and dimensionality reduction to SED fitters.

How to Find Variable Active Galactic Nuclei with Machine Learning Bringing manifold learning and dimensionality reduction to SED fitters

Reference 15

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Observation 7c9104ba-bec3-4ccc-9baa-653a64de9927 · outbound

This paper cites A., Tat, K., & Thorp, R.

How to Find Variable Active Galactic Nuclei with Machine Learning A., Tat, K., & Thorp, R

Reference 16

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Observation cc953f73-03e2-4975-9c50-02b952527270 · outbound

This paper cites 2012, MNRAS, 420, 320.

How to Find Variable Active Galactic Nuclei with Machine Learning 2012, MNRAS, 420, 320

Reference 17

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Observation 18570615-11ba-42b8-be92-039475a3d521 · outbound

This paper cites 2014, ApJS, 213, 12.

How to Find Variable Active Galactic Nuclei with Machine Learning 2014, ApJS, 213, 12

Reference 18

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Observation 3a12711e-416d-493b-81b0-8f605b068f2d · outbound

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How to Find Variable Active Galactic Nuclei with Machine Learning Unresolved cited work

Reference 19

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Observation f9994f31-b1bd-43a7-8182-33ec199134e4 · outbound

This paper cites 1982, Biological Cybernetics, 43, 59.

How to Find Variable Active Galactic Nuclei with Machine Learning 1982, Biological Cybernetics, 43, 59

Reference 20

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Observation c2a373a4-7f13-48ab-ba89-c3f55643cf8f · outbound

This paper cites 1990, IEEE, 78, 1464 How to Find V ariable AGN with Machine Learning 9.

How to Find Variable Active Galactic Nuclei with Machine Learning 1990, IEEE, 78, 1464 How to Find V ariable AGN with Machine Learning 9

Reference 21

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Observation 3d94db86-7a83-4b9d-b0fa-1da5e3e3b52d · outbound

This paper cites 2016, A&A, 596, A39.

How to Find Variable Active Galactic Nuclei with Machine Learning 2016, A&A, 596, A39

Reference 22

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How to Find Variable Active Galactic Nuclei with Machine Learning Unresolved cited work

Reference 23

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Observation a163e99b-d7ba-4ca7-825a-7b8537acb98a · outbound

This paper cites 2011, ApJ, 731, 53.

How to Find Variable Active Galactic Nuclei with Machine Learning 2011, ApJ, 731, 53

Reference 24

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Observation facd8b0c-1870-4009-a80c-b75361821386 · outbound

This paper cites 2015, ApJ, 813, 53.

How to Find Variable Active Galactic Nuclei with Machine Learning 2015, ApJ, 813, 53

Reference 25

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Observation 4628b41f-1916-4d7d-ac1a-16451e169576 · outbound

This paper cites C., Stern, D.

How to Find Variable Active Galactic Nuclei with Machine Learning C., Stern, D

Reference 26

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Observation af257182-8a7c-488b-8d9e-569a260071a3 · outbound

This paper cites 1975, Biochimica et Biophysica Acta (BBA) - Protein Structure, 405, 442.

How to Find Variable Active Galactic Nuclei with Machine Learning 1975, Biochimica et Biophysica Acta (BBA) - Protein Structure, 405, 442

Reference 27

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This paper cites RAPID: Early Classification of Explosive Transients using Deep Learning.

How to Find Variable Active Galactic Nuclei with Machine Learning RAPID: Early Classification of Explosive Transients using Deep Learning

Reference 28

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This paper cites DASH: Deep Learning for the Automated Spectral Classification of Supernovae and their Hosts.

How to Find Variable Active Galactic Nuclei with Machine Learning DASH: Deep Learning for the Automated Spectral Classification of Supernovae and their Hosts

Reference 29

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How to Find Variable Active Galactic Nuclei with Machine Learning B., & Gunn, J

Reference 30

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How to Find Variable Active Galactic Nuclei with Machine Learning Unresolved cited work

Reference 31

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Observation 433a3f58-b26d-44bf-95c4-ddc8f5d9de14 · outbound

This paper cites A Flaring AGN In a ULIRG candidate in Stripe 82.

How to Find Variable Active Galactic Nuclei with Machine Learning A Flaring AGN In a ULIRG candidate in Stripe 82

Reference 32

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This paper cites Radio Galaxy Zoo: Unsupervised Clustering of Convolutionally Auto-encoded Radio-astronomical Images.

How to Find Variable Active Galactic Nuclei with Machine Learning Radio Galaxy Zoo: Unsupervised Clustering of Convolutionally Auto-encoded Radio-astronomical Images

Reference 33

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How to Find Variable Active Galactic Nuclei with Machine Learning Unresolved cited work

Reference 34

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This paper cites 2017, AJ, 153, 204.

How to Find Variable Active Galactic Nuclei with Machine Learning 2017, AJ, 153, 204

Reference 35

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How to Find Variable Active Galactic Nuclei with Machine Learning Unresolved cited work

Reference 36

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This paper cites 2007, MNRAS, 380, 877.

How to Find Variable Active Galactic Nuclei with Machine Learning 2007, MNRAS, 380, 877

Reference 37

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Observation 84080e45-ffe5-4146-a1a5-ede7455b228e · outbound

This paper cites 2018, A&A, 617, A70.

How to Find Variable Active Galactic Nuclei with Machine Learning 2018, A&A, 617, A70

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:58.374590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f0f8c243-27b7-4d82-844f-f3cedbd27757 · outbound

This paper cites V., Gavras, P., Karampelas, A., et al.

How to Find Variable Active Galactic Nuclei with Machine Learning V., Gavras, P., Karampelas, A., et al

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:58.367405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:58.155812Z digest=sha256:d3b0f5f1b59cb62d6d643e6a28f37a1e82ce60501f8887181d5028eb09913e70

Observation cf5cdc56-59f8-45bd-92dd-1e32d7cbc9a7 · outbound

This paper cites Classification of Multiwavelength Transients with Machine Learning.

How to Find Variable Active Galactic Nuclei with Machine Learning Classification of Multiwavelength Transients with Machine Learning

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:20:58.259203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f060921c-2b06-4511-9c20-4fc087534c7d · outbound

This paper cites J., Benford, D.

How to Find Variable Active Galactic Nuclei with Machine Learning J., Benford, D

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-14T12:20:58.160803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:20:58.160803Z digest=sha256:49165c8bb0f443eec056478d9e778a01817726f586168c087f0ec26e745afc83

Observation a94c2028-a1cd-4418-af2f-da390033a4ee · outbound

This paper cites 2008, A&A, 482, 483.

How to Find Variable Active Galactic Nuclei with Machine Learning 2008, A&A, 482, 483

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:58.355065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:58.163067Z digest=sha256:3e584e4b6f43904e2c13d109d71a5c360e8836c0abc7906185576c435674c8f1

Observation a43da513-2c49-4a4d-9be5-cc1f90c0cd9d · outbound

This paper cites S., Baldry, I.

How to Find Variable Active Galactic Nuclei with Machine Learning S., Baldry, I

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:58.346183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:58.165231Z digest=sha256:dc470488ec0eb1c4cecde79158e6159a433d93bc4bc66b7798bec8a48bba1284

Observation 3b3025ea-2464-463d-bb30-eadc17fde952 · outbound

This paper cites L., Eisenhardt, P.

How to Find Variable Active Galactic Nuclei with Machine Learning L., Eisenhardt, P

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-14T12:20:58.232132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:20:58.232132Z digest=sha256:84f1f0378d17a766b8ba52ee797cc8ec6723dd6c322afb12864f64654c3e1e69

Pith citing papers

No inbound Pith citation observations are available.