Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning | Paper Citation Record

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This paper cites W., Evrard, A.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning W., Evrard, A

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This paper cites A., Primack, J.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning A., Primack, J

Reference 2

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

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning E., Springel, V., White, S

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Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning Unresolved cited work

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This paper cites R., & Kravtsov, A.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning R., & Kravtsov, A

Reference 5

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This paper cites A., & Humphrey, P.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning A., & Humphrey, P

Reference 6

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This paper cites N., Umetsu, K., Sereno, M., et al.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning N., Umetsu, K., Sereno, M., et al

Reference 7

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This paper cites L., & King, L.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning L., & King, L

Reference 8

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Observation c5c23fe6-c898-4dd2-9d3e-c80a3a332102 · outbound

This paper cites M., Hadzhiyska, B., Bose, S., et al.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning M., Hadzhiyska, B., Bose, S., et al

Reference 9

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This paper cites 2014, MNRAS, 443.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2014, MNRAS, 443

Reference 10

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Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning Unresolved cited work

Reference 11

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Observation aab4a5c7-130a-47bc-b95c-67b7452c59d4 · outbound

This paper cites P., Zhang, Y., Song, J., et al.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning P., Zhang, Y., Song, J., et al

Reference 12

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This paper cites Elsevier, 2020.isbn: 9780128159484.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning Elsevier, 2020.isbn: 9780128159484

Reference 13

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Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning Unresolved cited work

Reference 14

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This paper cites 2001, The Astronomical Journal, 122.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2001, The Astronomical Journal, 122

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Observation 832b5a38-7d90-4eec-b581-43a3bb13081e · outbound

This paper cites E., et al.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning E., et al

Reference 16

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This paper cites an unresolved cited work.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning Unresolved cited work

Reference 17

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This paper cites E(n) Equivariant Graph Neural Networks.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning E(n) Equivariant Graph Neural Networks

Reference 18

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Observation 8e7feae8-8fb5-41a1-8236-61d454585572 · outbound

This paper cites B., Ntampaka, M., Nagai, D., et al.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning B., Ntampaka, M., Nagai, D., et al

Reference 19

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This paper cites M., Goldberg, D.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning M., Goldberg, D

Reference 20

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Observation 237867ac-fdcc-4371-8b83-17ba99f782a8 · outbound

This paper cites W., et al.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning W., et al

Reference 21

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This paper cites 2022, MNRAS, 513.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2022, MNRAS, 513

Reference 22

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This paper cites M., Mandelbaum, R., Ishak, M., et al.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning M., Mandelbaum, R., Ishak, M., et al

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Observation 926629ee-c68d-4b43-8a95-c17a54527e0c · outbound

This paper cites M., & Trac, H.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning M., & Trac, H

Reference 24

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Observation 5d9f87b6-1c35-44b3-8c57-b9e699972591 · outbound

This paper cites M., Ntampaka, M., et al.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning M., Ntampaka, M., et al

Reference 25

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This paper cites 2023, MNRAS, 524.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2023, MNRAS, 524

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Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning Unresolved cited work

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This paper cites P., & Suto, Y.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning P., & Suto, Y

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This paper cites 2024, Astronomy & Astrophysics, doi:10.1051/0004-6361/202347399.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2024, Astronomy & Astrophysics, doi:10.1051/0004-6361/202347399

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This paper cites Adam: A Method for Stochastic Optimization.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning Adam: A Method for Stochastic Optimization

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This paper cites Predicting dark matter halo masses from simulated galaxy images and environments.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning Predicting dark matter halo masses from simulated galaxy images and environments

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Observation ba0ffce5-a731-490d-82ad-400db79a9a57 · outbound

This paper cites T., Hearin, A.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning T., Hearin, A

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Observation 16e866ca-5945-4bcf-9340-c9694385ca31 · outbound

This paper cites 2015, Nature, 521, 436.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2015, Nature, 521, 436

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This paper cites 2004, The Astrophysical Journal, doi:10.1086/380506.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2004, The Astrophysical Journal, doi:10.1086/380506

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This paper cites 2013, Space Science Reviews, doi:10.1007/s11214-013-9980-y.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2013, Space Science Reviews, doi:10.1007/s11214-013-9980-y

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Observation adb9d170-147e-4ced-a706-2302e2701ead · outbound

This paper cites L., Charnock, T., Lemos, P., et al.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning L., Charnock, T., Lemos, P., et al

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Observation 105c3b29-1c5a-49d8-bfd8-d521b53b7602 · outbound

This paper cites 2018, MNRAS, 473.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2018, MNRAS, 473

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Observation e10b73c9-895a-4fc6-9a37-cb56a4ae00d3 · outbound

This paper cites B., Allen, S.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning B., Allen, S

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This paper cites 2018, MNRAS, 480.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2018, MNRAS, 480

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Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning Unresolved cited work

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This paper cites 2010, A&A, 514, A93.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2010, A&A, 514, A93

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Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 1991, ApJ, 380, 1

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This paper cites 2018, ApJ, 854, 120.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2018, ApJ, 854, 120

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This paper cites P., Pillepich, A., Springel, V., et al.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning P., Pillepich, A., Springel, V., et al

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This paper cites 2018, MNRAS, 475, 624 —.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2018, MNRAS, 475, 624 —

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This paper cites 2019, ApJ, 876, 82.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2019, ApJ, 876, 82

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Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning Unresolved cited work

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This paper cites A., Grand, R.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning A., Grand, R

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Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning P., et al

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This paper cites 2008, The Astrophysical Journal, 676, 206.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2008, The Astrophysical Journal, 676, 206

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This paper cites 2019, MNRAS, 490, 3196 Planck Collaboration, Ade, P.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2019, MNRAS, 490, 3196 Planck Collaboration, Ade, P

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This paper cites 2013, The Astronomical Review, 8, 40.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2013, The Astronomical Review, 8, 40

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Observation f8212264-e7da-498d-95a4-f53a20774cc3 · outbound

This paper cites S., Bartlett, J.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning S., Bartlett, J

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Observation 0f0ce522-9f28-4d38-b6bd-fd94d8493e02 · outbound

This paper cites J., Bazin, G., & Dolag, K.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning J., Bazin, G., & Dolag, K

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T04:31:31.454578Z

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Observation 283d3441-2f03-42e3-b45b-bac04c09c71b · outbound

This paper cites 2012, MNRAS, 419.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2012, MNRAS, 419

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T04:31:31.487932Z

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Observation a5f83d47-26a6-4b56-bd39-077d0c6ea776 · outbound

This paper cites 2017, Monthly Notices of the Royal Astronomical Society, doi:10.1093/mnras/stx326.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2017, Monthly Notices of the Royal Astronomical Society, doi:10.1093/mnras/stx326

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Resolution: verified exact; doi, observed 2026-05-17T04:31:31.006403Z

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Observation 73cfc46a-11be-489b-9ef4-8f6e3546deeb · outbound

This paper cites 2010, MNRAS, 403.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2010, MNRAS, 403

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T04:31:31.478614Z

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Observation 0f43330f-ead1-4862-9259-09993b04e6fc · outbound

This paper cites 2018, The Astrophysical Journal Letters, doi:10.3847/2041-8213/aac6d9.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2018, The Astrophysical Journal Letters, doi:10.3847/2041-8213/aac6d9

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Resolution: verified exact; doi, observed 2026-05-17T04:31:31.008735Z

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This paper cites 2023, ApJ, 944, 27.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2023, ApJ, 944, 27

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T04:31:31.481011Z

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This paper cites 2025, The Astrophysical Journal, 985, 212.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2025, The Astrophysical Journal, 985, 212

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T04:31:31.485569Z

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Observation 8012224d-d17f-4753-b15d-f6d2db7ab50a · outbound

This paper cites 2010, MNRAS, 401, 791.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2010, MNRAS, 401, 791

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T04:31:31.444310Z

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Observation bdce5ecd-ce07-4425-8be6-3d959e82b3a8 · outbound

This paper cites 2021, MNRAS, 506.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2021, MNRAS, 506

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T04:31:31.476560Z

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This paper cites 2018, MNRAS, 475, 676.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2018, MNRAS, 475, 676

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T04:31:31.492449Z

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Observation aba5ec6b-a188-4594-8831-2b66fdf7541a · outbound

This paper cites A., & Zeldovich, Y.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning A., & Zeldovich, Y

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T04:31:31.467355Z

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Observation b0535628-437a-40fe-9c7e-f64d764c23be · outbound

This paper cites L., Sheldon, E.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning L., Sheldon, E

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T04:31:31.411921Z

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Observation c2f8def2-398a-43b8-af79-6205b48418d9 · outbound

This paper cites 2018, The Astrophysical Journal, doi:10.3847/1538-4357/aac3d9.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2018, The Astrophysical Journal, doi:10.3847/1538-4357/aac3d9

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Resolution: verified exact; doi, observed 2026-05-17T04:31:31.010683Z

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Observation 77bee79c-12ed-4d2f-a9e6-636c2d2f692c · outbound

This paper cites A., & Jarvis, J.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning A., & Jarvis, J

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T04:31:31.508720Z

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Observation a3943883-c357-4bb0-b9f8-7b854df1fc4f · outbound

This paper cites From galactic bars to the Hubble tension: weighing up the astrophysical evidence for Milgromian gravity.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning From galactic bars to the Hubble tension: weighing up the astrophysical evidence for Milgromian gravity

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Resolution: verified exact; arxiv_id, observed 2026-05-17T04:31:31.236588Z

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Observation e5a34776-1b3a-46ed-8165-1d0328bf50f0 · outbound

This paper cites 2020, ApJS, 248, 32.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2020, ApJS, 248, 32

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T04:31:31.460099Z

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Observation 7d334b09-39e2-489a-8075-c876867a1a83 · outbound

This paper cites 2017, MNRAS, 465.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning 2017, MNRAS, 465

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T04:31:31.456982Z

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Observation 71042c09-2f60-464a-a2c2-2a684549e3d2 · outbound

This paper cites P., Clerc, N., Bremer, M.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning P., Clerc, N., Bremer, M

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T04:31:31.454423Z

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Observation f3e6514c-d3cf-4475-87ac-131c839b5016 · outbound

This paper cites an unresolved cited work.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning Unresolved cited work

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Observation f8099b01-a1ca-4cfb-85e8-abe2d0be2a14 · outbound

This paper cites Learning the galaxy-environment connection with graph neural networks.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning Learning the galaxy-environment connection with graph neural networks

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Resolution: verified exact; arxiv_id, observed 2026-05-17T04:31:31.243553Z

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Observation 9909a365-c220-4c3d-9863-a2bc1d2b563a · outbound

This paper cites an unresolved cited work.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-05-17T04:31:31.459850Z

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Observation 0a305cd8-6ca8-45f5-aad8-3d5a9bcbc426 · outbound

This paper cites an unresolved cited work.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning Unresolved cited work

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Source-reported events for the cited work

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Observation 18965ffb-61e1-4fbc-b720-15844d5287c7 · outbound

This paper cites J., Jing, Y.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning J., Jing, Y

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T04:31:31.446946Z

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Observation f5045ad6-7ed0-49ad-8533-a545420936d9 · outbound

This paper cites Simulating X-ray Observations with Python.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning Simulating X-ray Observations with Python

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