Pith. sign in

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

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:20:58.232132Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

  • verified exact2
  • verified fuzzy20
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

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

Resolution
unresolved
no resolver link, observed 2026-08-14T12:20:58.050203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:20:58.050203Z digest=sha256:ed5e5c31342615607a7e6cac0a0eb5af2f9580e89d2777356a7c6cbded3ccf6a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:58.596432Z

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=2026-08-14T12:20:58.053648Z digest=sha256:1b2c497e8eb4dd65e89cd472082bd52c90341dfe1b41f6bef1053fd79bd9ad08

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:58.587179Z

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=2026-08-14T12:20:58.056992Z digest=sha256:d26c3432130ae2c1de25ce3fa34b68ca3f9b7e71ce96843a89dfc9f2df3857d8

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:58.578534Z

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=2026-08-14T12:20:58.060653Z digest=sha256:3b450a6445c936e458582f2f6f7884c7c91b4b5a15d3be0db5e529d6170db017

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

Resolution
unresolved
no resolver link, observed 2026-08-14T12:20:58.063690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:20:58.063690Z digest=sha256:2757150156766494b05bf2800c86bfc20a592ae16cb29b1b9bb11e9b50c9dc42

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:58.564424Z

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=2026-08-14T12:20:58.066693Z digest=sha256:16912aad18da62d629890feab438dde9957a17610e9e747839c64d7afdbd3117

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

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T12:20:58.330262Z

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=2026-08-14T12:20:58.070220Z digest=sha256:763735598f14033d363b02f1c3b9b388342811d3ccc8dc823308096d8f509c6a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:58.554936Z

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=2026-08-14T12:20:58.073518Z digest=sha256:5488e2fabda87c0497fce037d1150316b399c75595eab550a5140f25d7bc7769

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:58.544859Z

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=2026-08-14T12:20:58.076664Z digest=sha256:87f7b124c55e76c0f2134bbb3d3df3fe07f640cd741a3a31bfaf6fdd51e4224a

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

Resolution
unresolved
no resolver link, observed 2026-08-14T12:20:58.078894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:20:58.078894Z digest=sha256:da21e7708a3e42e051cf288ca84ba1a54685a5ec1e29f0d29a2899709d464781

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

Resolution
unresolved
no resolver link, observed 2026-08-14T12:20:58.081112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:20:58.081112Z digest=sha256:ba93a00ecc2bd30daab32e58ad5ce3177f02104c92c559719cfe73bc350aeb2c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:58.529126Z

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=2026-08-14T12:20:58.083767Z digest=sha256:5d821e237651c22ecfd57f1ec85eb3d2c0a39129e4ecee35a87db25826a267d6

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:58.521091Z

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=2026-08-14T12:20:58.085955Z digest=sha256:7d1770de1613766e4fb866693ea51ed233260eb3ac2653cc16ceece2e6a4d7e4

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:58.511629Z

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=2026-08-14T12:20:58.087938Z digest=sha256:54ccbb54ff0fe3de0fd1cc78f77401c05ea979c588ec781c807afc9cec2aaf2e

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

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T12:20:58.310367Z

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=2026-08-14T12:20:58.090161Z digest=sha256:aca8535d04ef8b2a07c030dccaded9a1ecbfef9c07d245ebe0576fbe0d76ce12

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:58.501141Z

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=2026-08-14T12:20:58.093086Z digest=sha256:96f27db0b0312a3f597a1c557bf405b4e72ae679828717cd30e2c2de456bf648

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:58.491591Z

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=2026-08-14T12:20:58.096076Z digest=sha256:93d93ffc40aedb71fad003fecc46a54a0a7fb336f57742441dd693fa3f4fbe8c

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

Resolution
unresolved
no resolver link, observed 2026-08-14T12:20:58.098813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:20:58.098813Z digest=sha256:35f24f22829362d63cb35583aa93be3f50f7813f66795ded804528fc556b2e22

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

This paper cites an unresolved cited work.

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

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-14T12:20:58.101645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:20:58.101645Z digest=sha256:e54d0ef991b410b0cedd8329f855af84cffe8684480fa07503bb19b79997c3b0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:58.473062Z

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=2026-08-14T12:20:58.104335Z digest=sha256:9a850fb97c2a420e78703ec2e1080dace34f0fa1b464a0493d4da1592c46279a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:58.464951Z

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=2026-08-14T12:20:58.107560Z digest=sha256:0e5f4aa26d5128b79fd2aec104d8ebce1838c79b56157ba7a8e52c75cca16390

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:58.457203Z

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=2026-08-14T12:20:58.110058Z digest=sha256:a41754a248497a1fe1ab40ee322e849c70ace3ab6f8e185896ede81e8bc53f22

Observation c2079820-74e1-4bca-b2b7-e3db3c5bc671 · outbound

This paper cites an unresolved cited work.

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

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:20:58.449443Z

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=2026-08-14T12:20:58.112493Z digest=sha256:a07544f926ba6a3df55171b01e553acf9351ba8d528128fd29d364cbf83a226f

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

Resolution
unresolved
no resolver link, observed 2026-08-14T12:20:58.114891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:20:58.114891Z digest=sha256:8c031c350c2771c9ddd52b98c97eca06f6e8125faf783f2d73653f7dca2b2ff1

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

Resolution
unresolved
no resolver link, observed 2026-08-14T12:20:58.117182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:20:58.117182Z digest=sha256:7c1999e19b1f901a09867da0c60a7a22b78e5decb7602e06e06b6149d452cb25

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

Resolution
unresolved
no resolver link, observed 2026-08-14T12:20:58.119645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:20:58.119645Z digest=sha256:1023ed88e4f4f9575e12a26a613ee741ad738afc0cb9e041dfecd1df64d69b00

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:58.424319Z

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=2026-08-14T12:20:58.121961Z digest=sha256:df841acdd9aa23bc8fd8bc570c5a13f917048ae8754449e484a0c05aeac61545

Observation 88379844-2c89-458a-99f0-01848d5aee73 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-14T12:20:58.124968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:20:58.124968Z digest=sha256:40507728cc8d7279858c6fb171d32ad791e85f9b1922f77a5c34311c900c5e32

Observation 65fd5e38-0db7-4f0b-ace7-c7f738995803 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-14T12:20:58.127908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:20:58.127908Z digest=sha256:b40e371e910b765edc76de826ff87d38806eb7cdd58f903e79e033551e441013

Observation 640664fa-5030-4724-ad23-77032f4dc7e8 · outbound

This paper cites B., & Gunn, J.

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

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-14T12:20:58.130875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:20:58.130875Z digest=sha256:5851bd7db7f95c5cbbff581d0ef29a77b9f702b5a8855161d2812e1bc0afc39c

Observation 3f992439-b87e-4c37-8927-d59ef031b596 · outbound

This paper cites an unresolved cited work.

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

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-14T12:20:58.133969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:20:58.133969Z digest=sha256:d1a0ab21224ca00ec20a1d6cea79dd1795e9ed45bd5329d8000d5fb7135d6fb4

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

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T12:20:58.283221Z

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=2026-08-14T12:20:58.136764Z digest=sha256:f02b984cdbec4e2c828cdf2b62cf9940fac1ec47b7da9888fbdbef901e86b904

Observation 24b11c56-b11b-4b5b-8c19-8c58510c4f3c · outbound

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

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:20:58.271960Z

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=2026-08-14T12:20:58.139847Z digest=sha256:0b4e70d9f177e8f3776009e51e33c0859de16821b822801470ac9c61e75ff670

Observation 42cd5a36-2e7c-49d3-977b-5e891d614ecd · outbound

This paper cites an unresolved cited work.

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

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:20:58.405931Z

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=2026-08-14T12:20:58.143312Z digest=sha256:a14d88c8977d89565c09d02c8378641f04431f85c25ebcad946368200cf37878

Observation e518d9ba-b2fb-4523-bcac-47fdc2b96213 · outbound

This paper cites 2017, AJ, 153, 204.

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

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-14T12:20:58.146126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:20:58.146126Z digest=sha256:98c59238448184ea1f4f1bd28542dc27147327b264534ffe4577eb6a46010ae3

Observation 3da1017d-8630-4d0c-9a04-3b191ec3b5e2 · outbound

This paper cites an unresolved cited work.

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

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:20:58.392441Z

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=2026-08-14T12:20:58.149213Z digest=sha256:92173050ba2d5f7a28deaf6cd055a93d83cf751bbb84c8d6b2552a2e0969bc29

Observation cdf460f4-5992-4339-bda4-0aa75c0d5b3d · outbound

This paper cites 2007, MNRAS, 380, 877.

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

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:58.382788Z

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=2026-08-14T12:20:58.151342Z digest=sha256:0070ef65f0cd59fad1800644adeec417f719911d170e366fa198f30473c4e303

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.

source=pdf_text observed=2026-08-14T12:20:58.153531Z digest=sha256:1b4b02eb1faddb93d4380aa0a6c7bb9f34369ecc1d545c45ed05e4681822529a

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=sha256:9e3990e7889b67a61f6efead50902d93427a598b4a0afc89c2e5e23f80f2fd8f

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.

source=pdf_text observed=2026-08-14T12:20:58.158487Z digest=sha256:a079b2661bef9d0247eac1e8fef4e644b57a96e63da0402cd347012dd0dc217d

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=sha256:568abc8b4c6e5246d7a8ebae8552377f4fafec81bb26700d00d5c8867605e000

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:b7637436ee13690bd2e514fc55e418e4cdd40ca2f69f110eccde96158e885732

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=sha256:1c6dd7c195910452b5066c9857a8d73590cbd1ec845dbd69d9f772e81d96afb7

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:b5e0807205a8b02e013df1da7136c5069086bdf174a047b85ab2a804fb5b0975

Pith citing papers

No inbound Pith citation observations are available.