Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection | Paper Citation Record

Observation 72c5fb38-04b7-4da6-9747-f1a76b31f2c4 · outbound

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

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2022, ApJS, 259, 35, doi: 10.3847/1538-4365/ac4414

Reference 1

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Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection Unresolved cited work

Reference 2

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This paper cites O., Corwin, Harold G., J., & Olowin, R.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection O., Corwin, Harold G., J., & Olowin, R

Reference 3

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This paper cites 2020, A&A, 641, A6, doi: 10.1051/0004-6361/201833910.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2020, A&A, 641, A6, doi: 10.1051/0004-6361/201833910

Reference 4

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Observation 0d6172bc-8ac5-46a6-8d5c-7bdad02a7b6a · outbound

This paper cites N., et al.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection N., et al

Reference 5

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This paper cites 2020, ApJS, 249, 3, doi: 10.3847/1538-4365/ab929e.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2020, ApJS, 249, 3, doi: 10.3847/1538-4365/ab929e

Reference 6

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Observation ada4a68f-cf77-46ab-a68c-cd9ad1d0db06 · outbound

This paper cites D., Allende Prieto, C., et al.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection D., Allende Prieto, C., et al

Reference 7

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Observation 0058ceac-11d2-4e42-a6d4-fce8e79ffb08 · outbound

This paper cites 2022, MNRAS, 516, 4716, doi: 10.1093/mnras/stac1888.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2022, MNRAS, 516, 4716, doi: 10.1093/mnras/stac1888

Reference 8

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Observation 02c0a765-ade6-4347-9405-d908d6d9f07c · outbound

This paper cites J., Banfield, J.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection J., Banfield, J

Reference 9

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Observation b565ca5e-3b2a-4d32-9f5f-8c5af59c6c6f · outbound

This paper cites R., & Vaccari, M.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection R., & Vaccari, M

Reference 10

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Observation 4f603040-102d-4ff6-8a9b-7322e1b8c9ca · outbound

This paper cites W., Evrard, A.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection W., Evrard, A

Reference 11

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Observation 914f767a-818e-4bf7-a183-33ab16a04d92 · outbound

This paper cites 2021, MNRAS, 507, 2643, doi: 10.1093/mnras/stab2290.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2021, MNRAS, 507, 2643, doi: 10.1093/mnras/stab2290

Reference 12

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Observation 69f78c0b-f0bd-4f9d-8fdd-733acafc759f · outbound

This paper cites 2016, A&A, 587, A158, doi: 10.1051/0004-6361/201526852.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2016, A&A, 587, A158, doi: 10.1051/0004-6361/201526852

Reference 13

Resolution: verified exact; doi, observed 2026-08-10T19:43:44.861478Z

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Observation 631d8626-0bf0-4e4e-a8d3-39666eb27044 · outbound

This paper cites K., & Thorat, K.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection K., & Thorat, K

Reference 14

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This paper cites 1991, ACM Computing Surveys (CSUR), 23, 345.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 1991, ACM Computing Surveys (CSUR), 23, 345

Reference 15

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This paper cites 2021, MNRAS, 503, 1828, doi: 10.1093/mnras/stab325.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2021, MNRAS, 503, 1828, doi: 10.1093/mnras/stab325

Reference 16

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Observation 4899a736-2636-47fd-ad52-71c4312a9f1e · outbound

This paper cites H., White, R.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection H., White, R

Reference 17

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Observation 1b58e5b3-0797-42fa-ba49-5304ece7b2e1 · outbound

This paper cites K., & Pal, S.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection K., & Pal, S

Reference 18

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Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection Unresolved cited work

Reference 19

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Observation d712285a-d762-4541-8d43-994054c09d5d · outbound

This paper cites 2012, in Astronomical Society of the Pacific Conference Series, Vol.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2012, in Astronomical Society of the Pacific Conference Series, Vol

Reference 20

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This paper cites an unresolved cited work.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection Unresolved cited work

Reference 21

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Observation dd5eb1a1-2c08-41e9-9bf7-3736a99a0765 · outbound

This paper cites H., & Perley, R.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection H., & Perley, R

Reference 22

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This paper cites 2022, A&A, 661, A1, doi: 10.1051/0004-6361/202141266.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2022, A&A, 661, A1, doi: 10.1051/0004-6361/202141266

Reference 23

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Observation f1661a4a-f62b-47c4-ab9d-f36b4f0824d3 · outbound

This paper cites O., O’Dea, C.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection O., O’Dea, C

Reference 24

Resolution: verified exact; doi, observed 2026-08-10T19:43:44.761309Z

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This paper cites an unresolved cited work.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection Unresolved cited work

Reference 25

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This paper cites 2020, in European conference on computer vision, Springer, 213–229.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2020, in European conference on computer vision, Springer, 213–229

Reference 26

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Observation f27b77bb-22c5-4e4b-8923-f926f7640fcf · outbound

This paper cites 2020, MNRAS, 496, 4654, doi: 10.1093/mnras/staa1868 22.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2020, MNRAS, 496, 4654, doi: 10.1093/mnras/staa1868 22

Reference 27

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Observation a13c59ca-6e59-401f-a59f-362e2abb09db · outbound

This paper cites J., Yun, M.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection J., Yun, M

Reference 28

Resolution: verified exact; doi, observed 2026-08-10T19:43:44.722521Z

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This paper cites 2001, MNRAS, 328, 1039, doi: 10.1046/j.1365-8711.2001.04902.x.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2001, MNRAS, 328, 1039, doi: 10.1046/j.1365-8711.2001.04902.x

Reference 29

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Observation 3e9e25c3-fc75-456e-a23d-2fefa392d176 · outbound

This paper cites P., & Miller, N.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection P., & Miller, N

Reference 31

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Observation f8f7e4a0-e140-4651-a551-42997f0ae1f0 · outbound

This paper cites J., Lang, D., et al.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection J., Lang, D., et al

Reference 32

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This paper cites A., Mack, J., et al.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection A., Mack, J., et al

Reference 33

Resolution: verified exact; doi, observed 2026-08-10T19:43:44.683859Z

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Observation 13557cfd-b279-438c-afeb-900c5c6374d8 · outbound

This paper cites N., & Kauffmann, G.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection N., & Kauffmann, G

Reference 34

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This paper cites J., Byrne, Z.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection J., Byrne, Z

Reference 35

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This paper cites P., Bellstedt, S., Robotham, A.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection P., Bellstedt, S., Robotham, A

Reference 36

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Observation 2a50d3cd-5127-4901-ad87-85a61a2bfca2 · outbound

This paper cites T., et al.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection T., et al

Reference 37

Resolution: verified exact; doi, observed 2026-08-10T19:43:44.648213Z

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Observation 6ec52a5a-5f2a-4d82-a5ea-712fe260d89c · outbound

This paper cites L., & Riley, J.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection L., & Riley, J

Reference 38

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Observation 9c09fe81-f3d9-4988-a73a-930290c1b7b9 · outbound

This paper cites Electron Ageing and Polarization in Tailed Radio Galaxies.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection Electron Ageing and Polarization in Tailed Radio Galaxies

Reference 39

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Observation 0a5ac94b-2e22-4a19-b530-733ed0e5d545 · outbound

This paper cites J., Olsen, K., Economou, F., et al.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection J., Olsen, K., Economou, F., et al

Reference 40

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Observation 7d415571-8d04-4d41-a4c2-33cf134fc705 · outbound

This paper cites A., Magnier, E.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection A., Magnier, E

Reference 41

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Observation 94657a44-6a02-45ce-891c-3be188dcb5e9 · outbound

This paper cites F., & Wilcots, E.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection F., & Wilcots, E

Reference 42

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Observation ad41195e-4340-4b6c-a4e0-4c801e4fa36d · outbound

This paper cites R., de Carvalho, R.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection R., de Carvalho, R

Reference 43

Resolution: verified exact; doi, observed 2026-08-10T19:43:44.558721Z

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Observation cd1855a9-6439-4d2a-829e-2fc3a45d3527 · outbound

This paper cites R., Lopes, P.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection R., Lopes, P

Reference 44

Resolution: verified exact; doi, observed 2026-08-10T19:43:44.541282Z

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Observation 563bd8b0-6c49-452d-ab74-99e05a3f0940 · outbound

This paper cites F., Rudnick, L., Wong, O.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection F., Rudnick, L., Wong, O

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:24.872340Z

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Observation 7e7a2b1d-699d-4014-acac-80853b2bf997 · outbound

This paper cites J., et al.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection J., et al

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:24.876950Z

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This paper cites 2009, A&A, 505, 55, doi: 10.1051/0004-6361/200912609.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2009, A&A, 505, 55, doi: 10.1051/0004-6361/200912609

Reference 47

Resolution: verified exact; doi, observed 2026-08-10T19:43:44.503358Z

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Observation 9e087a50-0c7c-4af0-85c7-bca0ce6430cf · outbound

This paper cites M., Brasseur, C.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection M., Brasseur, C

Reference 48

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Observation b7cfb050-0345-4cf1-a0b4-9f5f47e49eea · outbound

This paper cites H., Gettings, D.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection H., Gettings, D

Reference 49

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This paper cites A., Boyce, M.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection A., Boyce, M

Reference 50

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Observation bf895cc5-db2b-4fc9-aed2-631778c62c79 · outbound

This paper cites A., Rudnick, L., Andernach, H., et al.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection A., Rudnick, L., Andernach, H., et al

Reference 51

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This paper cites 2023, Data in Brief, 47, 108974, doi: 10.1016/j.dib.2023.108974.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2023, Data in Brief, 47, 108974, doi: 10.1016/j.dib.2023.108974

Reference 52

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This paper cites E., Hoessel, J.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection E., Hoessel, J

Reference 53

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This paper cites 2024a, PASA, 41, e001, doi: 10.1017/pasa.2023.64.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2024a, PASA, 41, e001, doi: 10.1017/pasa.2023.64

Reference 54

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This paper cites P., Hayder, Z., et al.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection P., Hayder, Z., et al

Reference 55

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This paper cites L., Robotham, A.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection L., Robotham, A

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:24.924862Z

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Observation 7f23f86b-7efb-4b0c-b955-4b2d0965a9ab · outbound

This paper cites A., Koester, B.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection A., Koester, B

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Observation 49839b93-5bb2-429b-ade4-805c09dc45ac · outbound

This paper cites R., Millman, K.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection R., Millman, K

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:24.934924Z

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Observation 3b604aa1-9f0f-490f-87c5-5845d1e75f4c · outbound

This paper cites 2017, in Proceedings of the IEEE international conference on computer vision, 2980–2988, doi: 10.1109/ICCV.2017.322.

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:24.940328Z

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Observation 56079ce7-cbde-4772-870d-ca14bbde59d4 · outbound

This paper cites 2016, in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 770–778, doi: 10.1109/CVPR.2016.90.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2016, in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 770–778, doi: 10.1109/CVPR.2016.90

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:24.945873Z

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Observation 40281417-a5e6-4b6f-9b43-926f9a172b28 · outbound

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Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection J., White, R

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:24.950702Z

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Observation 55be4dfb-15c1-44b3-829e-b6ae0ddaed66 · outbound

This paper cites 2021, ApJS, 253, 3, doi: 10.3847/1538-4365/abd023.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2021, ApJS, 253, 3, doi: 10.3847/1538-4365/abd023

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:24.955828Z

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Observation 36781ee3-6582-47be-a7ce-ec5a44c27e48 · outbound

This paper cites P., Macri, L.

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:24.961464Z

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Observation 9ae05e54-940b-48f9-85d0-801c6ce61c61 · outbound

This paper cites an unresolved cited work.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection Unresolved cited work

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:24.966856Z

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Observation ef002eac-7093-44bd-bfd1-6b0e069570c5 · outbound

This paper cites H., Read, M.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection H., Read, M

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:24.972120Z

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Observation 4d67f20c-04b0-4a73-96c5-f54135d60cc1 · outbound

This paper cites A., & McAdam, W.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection A., & McAdam, W

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:24.977213Z

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Observation 9d7d9387-7cec-447e-8280-a34f9ae89e4f · outbound

This paper cites A., & Mandel, E.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection A., & Mandel, E

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:24.982790Z

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Observation f773fa08-c4f8-4b5b-85f2-0dd5bffd3d5d · outbound

This paper cites 2012, A&A, 538, L1, doi: 10.1051/0004-6361/201118212.

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:24.987916Z

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Observation 5cd495ec-7de6-4092-9855-d3c6bab5c660 · outbound

This paper cites 2022, in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4402–4411, doi: 10.1109/CVPR52688.2022.00437 23.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2022, in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4402–4411, doi: 10.1109/CVPR52688.2022.00437 23

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:24.993489Z

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Observation 7c657f90-9505-416c-a97b-f70282eeebde · outbound

This paper cites C., Clerc, N., Finoguenov, A., et al.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection C., Clerc, N., Finoguenov, A., et al

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Resolution: verified exact; doi, observed 2026-08-10T19:40:26.462108Z

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.

Observation 761e7737-f861-46b1-a310-5036e95c4367 · outbound

This paper cites P., McKay, T.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection P., McKay, T

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.003537Z

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Observation 5e637a37-d500-4a58-bbdd-3002b4b01afc · outbound

This paper cites V., & Borgani, S.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection V., & Borgani, S

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.008865Z

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Observation 495d276f-5ac9-415a-b1e5-469b0df3d614 · outbound

This paper cites 2021, Science Bulletin, 66, 2145, doi: 10.1016/j.scib.2021.07.015.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2021, Science Bulletin, 66, 2145, doi: 10.1016/j.scib.2021.07.015

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.014530Z

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Observation 48e30027-402e-40e4-99fe-8477aaab22be · outbound

This paper cites 2023, Astronomy and Computing, 44, 100728, doi: 10.1016/j.ascom.2023.100728.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2023, Astronomy and Computing, 44, 100728, doi: 10.1016/j.ascom.2023.100728

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.019989Z

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Observation b6e08e47-5f7b-4a1a-9699-0c7c4afc0f25 · outbound

This paper cites 2024, Research in Astronomy and Astrophysics, 24, 035021, doi: 10.1088/1674-4527/ad204f.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2024, Research in Astronomy and Astrophysics, 24, 035021, doi: 10.1088/1674-4527/ad204f

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.025493Z

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Observation 595a1a53-daaa-4956-b189-09e0c495f900 · outbound

This paper cites S., Sohn, J., & Lee, M.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection S., Sohn, J., & Lee, M

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.030613Z

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Observation 5c2a64c4-b048-4925-a437-cb23e2a9b60d · outbound

This paper cites 2023, ApJL, 957, L4, doi: 10.3847/2041-8213/acffc8.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2023, ApJL, 957, L4, doi: 10.3847/2041-8213/acffc8

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Resolution: verified exact; doi, observed 2026-08-10T19:40:26.392961Z

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.

Observation 488cb32f-0e56-4bd4-b2fe-5ef0ce628dad · outbound

This paper cites H., Yee, H.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection H., Yee, H

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.041131Z

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Observation 6d38a0d4-0044-4b7e-8de2-a718d81d082b · outbound

This paper cites 2017, in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 936–944, doi: 10.1109/CVPR.2017.106.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2017, in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 936–944, doi: 10.1109/CVPR.2017.106

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.046845Z

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Observation f3865b56-e446-4d6f-89ac-f4a8ec181af9 · outbound

This paper cites an unresolved cited work.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection Unresolved cited work

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.052819Z

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Observation 7bd29fad-7bca-47d3-bfb3-e96ec07da332 · outbound

This paper cites K., et al.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection K., et al

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.058246Z

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Observation f2fca508-7feb-4992-aa03-eda5bcb10c16 · outbound

This paper cites 2019, Galaxies, 8, 3, doi: 10.3390/galaxies8010003.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2019, Galaxies, 8, 3, doi: 10.3390/galaxies8010003

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.063634Z

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Observation e92132b5-2c2b-4987-9ff8-cd68659db12f · outbound

This paper cites Y., Sharp, R., Saikia, D.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection Y., Sharp, R., Saikia, D

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.069100Z

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Observation 22e55ab8-4e3b-4ece-bed9-7e20e7069b67 · outbound

This paper cites 2014, MNRAS, 442, 838, doi: 10.1093/mnras/stu945.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2014, MNRAS, 442, 838, doi: 10.1093/mnras/stu945

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.078787Z

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Observation cb0efe40-1ccd-4324-90f9-68edb4b4e079 · outbound

This paper cites 2010, in Proceedings of the 9th Python in Science Conference, ed.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2010, in Proceedings of the 9th Python in Science Conference, ed

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.084181Z

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Observation 3419f2a1-8af6-4d7a-85c6-2042ca11a968 · outbound

This paper cites an unresolved cited work.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection Unresolved cited work

Reference 87

Resolution: verified exact; doi, observed 2026-08-10T19:40:26.294369Z

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.

Observation 78815e3e-6631-4050-b7df-be091071a648 · outbound

This paper cites 2017, A&A, 602, A54, doi: 10.1051/0004-6361/201730443.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2017, A&A, 602, A54, doi: 10.1051/0004-6361/201730443

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.094859Z

Source-reported events for the cited work

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Observation bf40a416-0a46-4eb0-be45-4242c470dbcc · outbound

This paper cites J., Nichol, R.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection J., Nichol, R

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.099901Z

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Observation 893c4b7f-3e20-4fdf-bc71-93938eb064d8 · outbound

This paper cites H., Hardcastle, M.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection H., Hardcastle, M

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.104889Z

Source-reported events for the cited work

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Observation 0dace114-bc00-492b-8e3b-86188acfdfae · outbound

This paper cites an unresolved cited work.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection Unresolved cited work

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.110445Z

Source-reported events for the cited work

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Observation 3d496881-85ca-4170-add1-a12c52511919 · outbound

This paper cites J., et al.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection J., et al

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.115550Z

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Observation 36a54003-84e2-4216-9022-46bd0813cd9b · outbound

This paper cites 2019, A&A, 626, A8, doi: 10.1051/0004-6361/201935058.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2019, A&A, 626, A8, doi: 10.1051/0004-6361/201935058

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.120927Z

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Observation 3de4a281-b968-46b6-89aa-4e0c1760819e · outbound

This paper cites an unresolved cited work.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection Unresolved cited work

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.126436Z

Source-reported events for the cited work

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Observation 8d4ca586-56bc-4f64-91e6-1b7e10e33c4a · outbound

This paper cites an unresolved cited work.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection Unresolved cited work

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.131375Z

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Observation 8ac12f61-3b3b-4687-b20a-21110d6b80a3 · outbound

This paper cites 2000, A&AS, 143, 23, doi: 10.1051/aas:2000169 O’Dea, C.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2000, A&AS, 143, 23, doi: 10.1051/aas:2000169 O’Dea, C

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.137550Z

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Observation d024b9da-2f03-43d2-be58-51677faf4aed · outbound

This paper cites 2014, MNRAS, 444, 147, doi: 10.1093/mnras/stu1446.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2014, MNRAS, 444, 147, doi: 10.1093/mnras/stu1446

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.142825Z

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Observation 9b9c19d5-bf2e-4688-ab86-b868ecd91e8c · outbound

This paper cites N., & Rudnick, L.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection N., & Rudnick, L

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.149747Z

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Observation 2a0914e8-f83b-46b4-8f8d-3fcd8787c1b2 · outbound

This paper cites 2023, Journal of Astrophysics and Astronomy, 44, 17, doi: 10.1007/s12036-022-09892-x.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection 2023, Journal of Astrophysics and Astronomy, 44, 17, doi: 10.1007/s12036-022-09892-x

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Resolution: unresolved; no resolver link, observed 2026-08-10T19:40:25.156372Z

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Observation 3bd91767-ce30-4a64-b1ab-e3d7ec2bcfd7 · outbound

This paper cites J., et al.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection J., et al

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Resolution: verified exact; doi, observed 2026-08-10T19:40:26.153504Z

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.

Observation 51440899-b4dd-4ba3-bcd8-35f801d9fd66 · outbound

This paper cites an unresolved cited work.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection Unresolved cited work

Reference 101

Resolution: verified exact; doi, observed 2026-08-10T19:40:26.135683Z

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.

Observation a3574d26-7522-4b24-a5e9-bcdca2f01523 · outbound

This paper cites L., Brodwin, M., et al.

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection L., Brodwin, M., et al

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Resolution: verified exact; doi, observed 2026-08-10T19:40:26.118350Z

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