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

As of 20 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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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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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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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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source=pdf_text observed=2026-08-08T00:38:07.277478Z digest=sha256:0ae49302fb85ad93986860b24b8d9875432677355c088df790656934b6078ef9

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:c9835772bbf01063b4e9d6e1c263f9583bdcda9fcb9c0792d8411096e3761e0b

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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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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unresolved
no resolver link, observed 2026-08-08T00:38:07.299139Z

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source=pdf_text observed=2026-08-08T00:38:07.299139Z digest=sha256:49856bd6c06045fd2d3d8d780909e340e977e0031ab9dfa5054c4f24d8c932c2

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=sha256:0a126ee2ba1b6d6c680d45d4dbd9c6aaa2413e91608bdf9c86b4e030a7a9cb8e

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:caa5e22ae099ba2e02dfff5a04e656334c59330f0d9e68069efc4434cb564a2b

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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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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unresolved
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=sha256:0c2ff8a5b02795a2de96999fc8411a843d28f71ccbca8d2dd5d6abaeebb739d8

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=sha256:2e4fa1f062e14b7ed597102a0cb2f8eae30a63975fb77268fe216d8f2a931f72

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=sha256:21bb555951fb55e2808060fe28c4b43a34f41de675973affac9ca055077eb1f9

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:a047d73ddc505fb0e8303e55c5d1791135f5f81a2f51856c088ba69adb4f9638

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=sha256:5d5ae176abc5ee7e0e8f9f7189a508a9ee4b6acd9f932bf2003892d34f438e28

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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unresolved
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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:fee3414edb53ca220e653182e1982e0ec38cf081b1495cb33bd009ebd30a2659

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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unresolved
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:cc252488cb3d197e2b84894981a72273b13726e5421d12f38bf155980a283a58

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
no resolver link, observed 2026-08-08T00:38:07.363490Z

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source=pdf_text observed=2026-08-08T00:38:07.363490Z digest=sha256:e75bd55b2951f81da3b6f175f4d1aad644c30c5fa95a5305f4c3d9180703c84c

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:bb96eb724a59b982baf3d0a0ae0bdaf2fe08eb8841ec6d2a2e152172dfedf267

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

This paper cites J., Kenney, J.

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=sha256:9246f7d94a190347b6d401d689c3fe5db775440a5b18ff950df11ea9ca9490cf

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=sha256:06428f88d53b602e6fea5a1716abcf497ba4164f13fccebf7e39c2803b1bcfc7

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
no resolver link, observed 2026-08-08T00:38:07.380257Z

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source=pdf_text observed=2026-08-08T00:38:07.380257Z digest=sha256:d3e3ec41aaa89cff08b4b24036c1995283d18dbd2cee0e612bc4aca418f0578a

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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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:cf53e32f8abe079efa9ffecf96c351025f4b9ff51c69e9cbf873fcbb3b46ac75

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=sha256:6b4489280fe65904190a04d8dab2763e6998c873858e8a7a723f478b6249a009

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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source=pdf_text observed=2026-08-08T00:38:07.402368Z digest=sha256:297148456c77608ccb160798e47f5e15a7f667101195856a098091d75c7abdb4

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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no resolver link, observed 2026-08-08T00:38:07.406739Z

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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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no resolver link, observed 2026-08-08T00:38:07.410753Z

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source=pdf_text observed=2026-08-08T00:38:07.410753Z digest=sha256:e8cf4f3f6068a5e3245be8699595f244ea608471fe7eccaca04ebc125a2f5686

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:bcf02a26732bc018924cc4abd98dcc351e9d9427e2e13e5a2b9cb9089de9bc6b

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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no resolver link, observed 2026-08-08T00:38:07.423859Z

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source=pdf_text observed=2026-08-08T00:38:07.423859Z digest=sha256:4ea7a30203a56205f02d415e5f906a96b78c93e888ca6772a68476bdf541928e

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=sha256:151c07d39ccb20b0126baddf4401ec3503fbb5ee06e73df9d7f8a8d2d4ca6ef4

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
no resolver link, observed 2026-08-08T00:38:07.432488Z

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source=pdf_text observed=2026-08-08T00:38:07.432488Z digest=sha256:72ed6d0cb9bc8653466fd51748a78f4a7b604364acca5f09a0bc1f627c30e1b5

Pith citing papers

No inbound Pith citation observations are available.