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Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks

As of 9 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2608.04087.

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pith.paper-citation-record.v1
2608.04087 v1

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This paper cites 2019, in The 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2623–2631.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2019, in The 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2623–2631

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This paper cites 2021, MNRAS, 506, 5129, doi: 10.1093/mnras/stab1958.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2021, MNRAS, 506, 5129, doi: 10.1093/mnras/stab1958

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This paper cites Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms

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This paper cites J., & Miniati, F.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks J., & Miniati, F

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This paper cites X., et al.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks X., et al

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This paper cites 2014, MNRAS, 438, 1435, doi: 10.1093/mnras/stt2288.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2014, MNRAS, 438, 1435, doi: 10.1093/mnras/stt2288

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Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks Unresolved cited work

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This paper cites 4, 370–400, doi: 10.1016/B978-0-443-21439-4.00059-6.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 4, 370–400, doi: 10.1016/B978-0-443-21439-4.00059-6

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This paper cites S., Boettcher, E., et al.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks S., Boettcher, E., et al

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This paper cites 2023, ApJL, 955, L25, doi: 10.3847/2041-8213/acf85b.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2023, ApJL, 955, L25, doi: 10.3847/2041-8213/acf85b

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This paper cites C., Erb, D.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks C., Erb, D

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This paper cites G., & Kravtsov, A.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks G., & Kravtsov, A

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Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks F., Genel, S., et al

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This paper cites 2006, MNRAS, 368, 2, doi: 10.1111/j.1365-2966.2006.10145.x.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2006, MNRAS, 368, 2, doi: 10.1111/j.1365-2966.2006.10145.x

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This paper cites 2009, in 2009 IEEE Conference on Computer Vision and Pattern Recognition, 248–255, doi: 10.1109/CVPR.2009.5206848.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2009, in 2009 IEEE Conference on Computer Vision and Pattern Recognition, 248–255, doi: 10.1109/CVPR.2009.5206848

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This paper cites Saas-Fee Lecture Notes: Physics of Lyman Alpha Radiative Transfer.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks Saas-Fee Lecture Notes: Physics of Lyman Alpha Radiative Transfer

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This paper cites 2021, in International Conference on Learning Representations.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2021, in International Conference on Learning Representations

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Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2025, ApJ, 985, 44, doi: 10.3847/1538-4357/adc922

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Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks Unresolved cited work

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Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2009, ApJ, 703, 1416, doi: 10.1088/0004-637X/703/2/1416 Faucher-Gigu` ere, C.-A., & Oh, S

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Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks The 2017 Release of Cloudy

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This paper cites 2017, MNRAS, 467, 4802, doi: 10.1093/mnras/stx398.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2017, MNRAS, 467, 4802, doi: 10.1093/mnras/stx398

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Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

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Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks G., Cantalupo, S., Lilly, S., et al

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Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks L., et al

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Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2024, MNRAS, 527, 10038, doi: 10.1093/mnras/stad3784

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Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks Unresolved cited work

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Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks F., et al

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Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks P., et al

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Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision

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Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks R., Millman, K

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Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks F., Wetzel, A., Kereˇ s, D., et al

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Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks A., et al

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Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks Unresolved cited work

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This paper cites 2019, Segmentation Models Pytorch,, https://github.com/qubvel/segmentation models.pytorch GitHub.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2019, Segmentation Models Pytorch,, https://github.com/qubvel/segmentation models.pytorch GitHub

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Observation 177383f4-2d96-45fd-96e5-c90cf4dea6c1 · outbound

This paper cites G., Muzahid, S., Churchill, C.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks G., Muzahid, S., Churchill, C

Reference 37

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Observation 58b851f8-b237-4041-9d64-bced8ed50988 · outbound

This paper cites H., & Hernquist, L.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks H., & Hernquist, L

Reference 38

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Observation 144b90ae-10e9-4cda-b111-e87c6b8332fe · outbound

This paper cites Deep Galaxy: Classification of Galaxies based on Deep Convolutional Neural Networks.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks Deep Galaxy: Classification of Galaxies based on Deep Convolutional Neural Networks

Reference 39

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Observation 59fad19e-d71a-457d-88ac-920a59306b6a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks Adam: A Method for Stochastic Optimization

Reference 40

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no resolver link, observed 2026-08-08T00:38:07.255568Z

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Observation 7d5f63fd-f8ee-4b7a-b7ba-33b7398b8ccd · outbound

This paper cites 2017, in Advances in Neural Information Processing Systems, ed.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2017, in Advances in Neural Information Processing Systems, ed

Reference 41

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verified fuzzy
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Observation 556d054f-9552-4c0f-82a4-e211562e3378 · outbound

This paper cites 2017, A&A, 608, A8, doi: 10.1051/0004-6361/201731480.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2017, A&A, 608, A8, doi: 10.1051/0004-6361/201731480

Reference 42

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Observation a91b5b10-2bfd-47e9-ad34-678fa2e8afb1 · outbound

This paper cites 2019, ApJ, 877, 4, doi: 10.3847/1538-4357/ab184e.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2019, ApJ, 877, 4, doi: 10.3847/1538-4357/ab184e

Reference 43

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Observation 9b08248c-d7d6-46dc-bc63-b1eac60defa3 · outbound

This paper cites an unresolved cited work.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks Unresolved cited work

Reference 44

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Observation 5666880e-e532-4b55-a257-1bc2953f336d · outbound

This paper cites 2016, MNRAS, 455, 2994, doi: 10.1093/mnras/stv2508.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2016, MNRAS, 455, 2994, doi: 10.1093/mnras/stv2508

Reference 45

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Observation 95eb6310-016b-4628-828b-b1322b9de64f · outbound

This paper cites 2025, ApJ, 980, 61, doi: 10.3847/1538-4357/ada442.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2025, ApJ, 980, 61, doi: 10.3847/1538-4357/ada442

Reference 46

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source=pdf_text observed=2026-08-08T00:38:07.281705Z digest=sha256:4d9e881bd78816a483e7757d85bedabc2aa0e45c8edde113f14ddc3b16ce15a0

Observation 969eeff7-2f69-4b4c-a210-8d2dd1ed4570 · outbound

This paper cites 2024, ApJ, 974, 161, doi: 10.3847/1538-4357/ad6cd1.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2024, ApJ, 974, 161, doi: 10.3847/1538-4357/ad6cd1

Reference 47

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Observation e0377bc3-c4a9-4251-b9c7-976e876c4259 · outbound

This paper cites an unresolved cited work.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks Unresolved cited work

Reference 48

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Observation 7524e878-5b2d-4b8a-b2fe-47804aef09ce · outbound

This paper cites 2018, MNRAS, 475, 624, doi: 10.1093/mnras/stx3040.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2018, MNRAS, 475, 624, doi: 10.1093/mnras/stx3040

Reference 49

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no resolver link, observed 2026-08-08T00:38:07.294651Z

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source=pdf_text observed=2026-08-08T00:38:07.294651Z digest=sha256:f92198deb04cfe7d835a84ae1fbd0a421e46ed0997a5efffc1d7b7406034dd21

Observation 4882fbf9-d09e-4285-8d77-152e340762bb · outbound

This paper cites 2019, MNRAS, 490, 3234, doi: 10.1093/mnras/stz2306.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2019, MNRAS, 490, 3234, doi: 10.1093/mnras/stz2306

Reference 50

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source=pdf_text observed=2026-08-08T00:38:07.299139Z digest=sha256:a06ab2f62d2f25f9b9db1ba49dabed51410d5d7765844fd5bc812fffff8d0056

Observation 9736dda9-7e46-4bce-998a-f03c44998892 · outbound

This paper cites 2020, MNRAS, 498, 2391, doi: 10.1093/mnras/staa2419.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2020, MNRAS, 498, 2391, doi: 10.1093/mnras/staa2419

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unresolved
no resolver link, observed 2026-08-08T00:38:07.303797Z

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source=pdf_text observed=2026-08-08T00:38:07.303797Z digest=sha256:5bce0a33689c3931b719e63730fc22fc0baf08ba705924860513afe75627083e

Observation 09f9092f-0987-4dda-8dc1-12971b794e74 · outbound

This paper cites 2014, ApJL, 783, L20, doi: 10.1088/2041-8205/783/1/L20.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2014, ApJL, 783, L20, doi: 10.1088/2041-8205/783/1/L20

Reference 52

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no resolver link, observed 2026-08-08T00:38:07.308250Z

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source=pdf_text observed=2026-08-08T00:38:07.308250Z digest=sha256:d8c7dcd5391ae76b88efa5cce523ab75d11fe296a3c49e0b74a6be407a68c479

Observation 40d24fd5-9d26-4005-b0dc-c508eb62c23e · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks PyTorch: An Imperative Style, High-Performance Deep Learning Library

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no resolver link, observed 2026-08-08T00:38:07.312571Z

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source=pdf_text observed=2026-08-08T00:38:07.312571Z digest=sha256:feb31b9a90918c8b06e09b3fc9f32fb344d8a9c4a0c261af1f0e393b7644587a

Observation 634a9af9-602f-40a8-bbc6-931ddf012dc3 · outbound

This paper cites S., Corlies, L., Tumlinson, J., et al.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks S., Corlies, L., Tumlinson, J., et al

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Resolution
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no resolver link, observed 2026-08-08T00:38:07.317287Z

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source=pdf_text observed=2026-08-08T00:38:07.317287Z digest=sha256:2954342c46376bfdca2ed479038a520ac6815f4f7171617c8712fea5db995053

Observation bf902234-fd11-4ce4-ad3c-baa004c0e98e · outbound

This paper cites 2021, MNRAS, 508, 4667, doi: 10.1093/mnras/stab2779.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2021, MNRAS, 508, 4667, doi: 10.1093/mnras/stab2779

Reference 55

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no resolver link, observed 2026-08-08T00:38:07.321957Z

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source=pdf_text observed=2026-08-08T00:38:07.321957Z digest=sha256:8f83ce30501ad89aad6b58227a87fc1d43b66c50d0516a52440ac81c23bdf967

Observation 7155762c-9835-4364-8798-831587dc8fbd · outbound

This paper cites 2018, MNRAS, 473, 4077, doi: 10.1093/mnras/stx2656.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2018, MNRAS, 473, 4077, doi: 10.1093/mnras/stx2656

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no resolver link, observed 2026-08-08T00:38:07.326469Z

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source=pdf_text observed=2026-08-08T00:38:07.326469Z digest=sha256:3dc532fb037892928e6c578ee3e05bae1d54beef32a5cbb3f1fc2db345b14d54

Observation 48b62cb0-67d4-439f-bc08-8616d7ecc47b · outbound

This paper cites 2019, MNRAS, 490, 3196, doi: 10.1093/mnras/stz2338.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2019, MNRAS, 490, 3196, doi: 10.1093/mnras/stz2338

Reference 57

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source=pdf_text observed=2026-08-08T00:38:07.330746Z digest=sha256:9786baeb5c8d33c1500d5553426e0ebb9e5a1549e82300a2e5aa78720029349c

Observation 9c61796c-a036-4521-b9a7-f9e184d8a5cb · outbound

This paper cites 2024, MNRAS, 535, 1721, doi: 10.1093/mnras/stae2165.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2024, MNRAS, 535, 1721, doi: 10.1093/mnras/stae2165

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source=pdf_text observed=2026-08-08T00:38:07.335126Z digest=sha256:bd68ed18a11580158602310fc5816a38275480df258b7969eb7087c0ffa2a400

Observation 05d1efa6-e5d2-4053-9a32-ae8c188fedeb · outbound

This paper cites E., Peek, J.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks E., Peek, J

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no resolver link, observed 2026-08-08T00:38:07.339538Z

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Observation 0aeb1d73-2209-4f2a-a6dd-ef8dd32d28fd · outbound

This paper cites H., Raiˇ cevi´ c, M., & Schaye, J.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks H., Raiˇ cevi´ c, M., & Schaye, J

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Observation d0d62ebb-32c8-465d-9ba2-d9a6faed698c · outbound

This paper cites 2026, arXiv e-prints, arXiv:2602.23416, doi: 10.48550/arXiv.2602.23416.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2026, arXiv e-prints, arXiv:2602.23416, doi: 10.48550/arXiv.2602.23416

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Observation 3fc68d2a-6088-4050-9926-8c4e197bb64e · outbound

This paper cites 2023a, MNRAS, 518, 5754, doi: 10.1093/mnras/stac3524.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2023a, MNRAS, 518, 5754, doi: 10.1093/mnras/stac3524

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source=pdf_text observed=2026-08-08T00:38:07.351413Z digest=sha256:2ba68cc4086e7366dc9cb689a76bdf7175c0ac708cce02a05e0aebc4402f8e2d

Observation cd985201-520c-4520-8d20-2db1f38b8407 · outbound

This paper cites 2023b, MNRAS, 522, 1535, doi: 10.1093/mnras/stad951.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2023b, MNRAS, 522, 1535, doi: 10.1093/mnras/stad951

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no resolver link, observed 2026-08-08T00:38:07.355406Z

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Observation 60322462-27e8-4f80-b958-86529b5fcdfa · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 64

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no resolver link, observed 2026-08-08T00:38:07.359322Z

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source=pdf_text observed=2026-08-08T00:38:07.359322Z digest=sha256:84a0693431b657e6e677f819612c8262a520d5c1bb5b5c2b96eaef2fe39da25a

Observation e3363882-5a21-4f82-942a-ea71f44505f2 · outbound

This paper cites S., Bignone, L.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks S., Bignone, L

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unresolved
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source=pdf_text observed=2026-08-08T00:38:07.363490Z digest=sha256:f5f1b6cdb3c655c4d2c760e8f14ce436af1b22f2be38661f48eba062b0b28a8a

Observation cb3369df-1748-4de4-9c02-84c97334967f · outbound

This paper cites 2016, ApJ, 833, 39, doi: 10.3847/1538-4357/833/1/39.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2016, ApJ, 833, 39, doi: 10.3847/1538-4357/833/1/39

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unresolved
no resolver link, observed 2026-08-08T00:38:07.367590Z

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source=pdf_text observed=2026-08-08T00:38:07.367590Z digest=sha256:c03837ed836f3fb404198d5cb4c38332015f8cf5339f179eb40aee250bae6475

Observation e7c8c88d-d928-428e-96d2-7c6505ccb489 · outbound

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Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks J., Kenney, J

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unresolved
no resolver link, observed 2026-08-08T00:38:07.371972Z

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source=pdf_text observed=2026-08-08T00:38:07.371972Z digest=sha256:2a2f421af1c86b200e07ce56c670b361d9556ea339b480bb45fd1d039832229f

Observation 18e8e267-692b-4088-a519-6d1b2507c276 · outbound

This paper cites 2010, MNRAS, 401, 791, doi: 10.1111/j.1365-2966.2009.15715.x.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2010, MNRAS, 401, 791, doi: 10.1111/j.1365-2966.2009.15715.x

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verified exact
arxiv_id_nonexistent, observed 2026-08-08T00:38:08.915396Z

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source=pdf_text observed=2026-08-08T00:38:07.376095Z digest=sha256:d23e8a036bd379579be213b4279c159a8a064f1d380138f819e0f92901e037ca

Observation 5e517948-d867-4bb9-8afa-2c30049e5456 · outbound

This paper cites R., Kaufmann, T., Bullock, J.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks R., Kaufmann, T., Bullock, J

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unresolved
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source=pdf_text observed=2026-08-08T00:38:07.380257Z digest=sha256:22de66c6c4e7dda8668c522b710285809ff42d1fd5b11fa053d6f44514544029

Observation 737c699e-45c4-4c4d-8555-c64f0561492e · outbound

This paper cites 2021, ApJ, 916, 4, doi: 10.3847/1538-4357/ac033c.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2021, ApJ, 916, 4, doi: 10.3847/1538-4357/ac033c

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verified exact
doi, observed 2026-08-08T00:38:07.577849Z

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Observation 1aa07e77-8972-4c7e-a717-f6745e6d7a11 · outbound

This paper cites S., & Werk, J.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks S., & Werk, J

Reference 71

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no resolver link, observed 2026-08-08T00:38:07.388825Z

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Observation 008ee5e9-f9d0-4702-a5c1-f20914ec152b · outbound

This paper cites J., Smith, B.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks J., Smith, B

Reference 72

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source=pdf_text observed=2026-08-08T00:38:07.393244Z digest=sha256:45e177e68e2f3b3fb2a19e76d0db5040e5f7d5282d124ba6101b5a926cec9a31

Observation a24b240f-e465-49d1-872e-fb9991c450b8 · outbound

This paper cites Notes on the Behavior of MC Dropout.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks Notes on the Behavior of MC Dropout

Reference 73

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no resolver link, observed 2026-08-08T00:38:07.397798Z

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source=pdf_text observed=2026-08-08T00:38:07.397798Z digest=sha256:7cf016c6784bce39a5ff7253269c0c5209855d71b35efe594236688db65ecb9d

Observation 8eecce58-fb4e-4e4d-afc9-58e97df23de5 · outbound

This paper cites M., Donahue, M., Bryan, G.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks M., Donahue, M., Bryan, G

Reference 74

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Observation fc3714f0-142f-4752-928b-2f4638e6b8b9 · outbound

This paper cites M., Meece, G., Li, Y., et al.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks M., Meece, G., Li, Y., et al

Reference 75

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Observation 13a6ad58-4184-40d1-bf9f-759b6bb32de6 · outbound

This paper cites 2020, ApJS, 248, 32, doi: 10.3847/1538-4365/ab908c.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2020, ApJS, 248, 32, doi: 10.3847/1538-4365/ab908c

Reference 76

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Observation 60b01ec8-a987-4026-bf00-de151b7be8f1 · outbound

This paper cites 2017b, MNRAS, 465, 3291, doi: 10.1093/mnras/stw2944 18.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks 2017b, MNRAS, 465, 3291, doi: 10.1093/mnras/stw2944 18

Reference 78

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no resolver link, observed 2026-08-08T00:38:07.419653Z

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source=pdf_text observed=2026-08-08T00:38:07.419653Z digest=sha256:9e84b3cdf3657c2ef6dd623991d8cae076731f9282e12835248583bbfbd62f58

Observation af5dfd3b-63a0-4d75-981c-bcf2bacd6b32 · outbound

This paper cites C., Sanderson, R.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks C., Sanderson, R

Reference 79

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source=pdf_text observed=2026-08-08T00:38:07.423859Z digest=sha256:1b5b10ad89fbd8029da890c435b6fa8adae906a3163d039790e47af22de6165b

Observation 223c602d-ba75-43f8-a21c-1e72ce8a625f · outbound

This paper cites J., Somerville, R.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks J., Somerville, R

Reference 80

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no resolver link, observed 2026-08-08T00:38:07.428255Z

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source=pdf_text observed=2026-08-08T00:38:07.428255Z digest=sha256:d3a310be662cc1ed1683ca4986bb4aefff2156091eb7fd88cc411712ac0df770

Observation 3a7414e0-1db2-48ef-9db0-6be91e329760 · outbound

This paper cites F., Wisotzki, L., et al.

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks F., Wisotzki, L., et al

Reference 81

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unresolved
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Pith citing papers

No inbound Pith citation observations are available.