Paper Citation Record · LEDGER

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks

As of 9 August 2026, this Paper Citation Record lists 100 of 132 outbound references and 2 inbound Pith citation observations for arXiv:2502.03522.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.03522 v2

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measured 100 of 132 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Source: arxiv_reference, observed 2026-07-02T15:27:05.228959Z

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Outbound references

Observation 6a49782d-7b9e-46f5-85ff-6073fa0385de · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks , " * write output.state after.block = add.period write newline

Reference 1

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Observation b7ee8d06-2abe-42fe-9815-2959e3e8f00f · outbound

This paper cites write newline.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks write newline

Reference 2

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Observation a4af3a0f-728e-4495-9f18-fa8926fbb157 · outbound

This paper cites 2020, Astronomy & Astrophysics, 641, A6, 10.1051/0004-6361/201833910.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2020, Astronomy & Astrophysics, 641, A6, 10.1051/0004-6361/201833910

Reference 4

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Observation 3d730d9d-0479-48dc-b53e-bb95bba09ee3 · outbound

This paper cites 2019, Monthly Notices of the Royal Astronomical Society, 10.1093/mnras/stz1960.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2019, Monthly Notices of the Royal Astronomical Society, 10.1093/mnras/stz1960

Reference 5

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Observation 74312db3-673b-4c35-9a48-1daf66eb0b8c · outbound

This paper cites 2023, Monthly Notices of the Royal Astronomical Society, 525, 3662–3681, 10.1093/mnras/stad2458.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2023, Monthly Notices of the Royal Astronomical Society, 525, 3662–3681, 10.1093/mnras/stad2458

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:45.482227Z

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Observation dc21dbe4-5041-4bb5-9ea4-ca0fd08f3714 · outbound

This paper cites 2021 a , Journal of Cosmology and Astroparticle Physics, 2021, 043, 10.1088/1475-7516/2021/10/043.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2021 a , Journal of Cosmology and Astroparticle Physics, 2021, 043, 10.1088/1475-7516/2021/10/043

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:45.492424Z

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Observation 00d4483a-6584-4a68-a9db-490b020853a5 · outbound

This paper cites an unresolved cited work.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Unresolved cited work

Reference 8

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Observation 2bb6c0b9-0517-40e4-9005-f3e9e6fbf64e · outbound

This paper cites 2020, Astronomy & Astrophysics, 642, A191, 10.1051/0004-6361/202038071.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2020, Astronomy & Astrophysics, 642, A191, 10.1051/0004-6361/202038071

Reference 9

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Observation 6965915c-38ab-4de5-bc0c-f979b7bef00f · outbound

This paper cites D., Bolton, J.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks D., Bolton, J

Reference 10

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Observation b0613db2-6c53-4963-9c98-47e3a4fa8dd6 · outbound

This paper cites W., Price-Whelan, A.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks W., Price-Whelan, A

Reference 11

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Observation ec04b9c1-0814-4a9a-b362-96484f5dc938 · outbound

This paper cites Stellar Streams in the Gaia Era.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Stellar Streams in the Gaia Era

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:45.535208Z

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Observation 1bacf202-48d7-4b49-abd9-0ae3a0192e4e · outbound

This paper cites 2014, The Astrophysical Journal, 795, 95, 10.1088/0004-637x/795/1/95.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2014, The Astrophysical Journal, 795, 95, 10.1088/0004-637x/795/1/95

Reference 13

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Observation 99ae658c-3f14-43ae-a4e5-6887ee7f253f · outbound

This paper cites 2015, The Astrophysical Journal Supplement Series, 216, 29, 10.1088/0067-0049/216/2/29.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2015, The Astrophysical Journal Supplement Series, 216, 29, 10.1088/0067-0049/216/2/29

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:45.547819Z

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Observation 9b3a97d3-c492-43c1-89ac-28838401d99d · outbound

This paper cites 2016, Physical Review Letters, 116, 10.1103/physrevlett.116.121301.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2016, Physical Review Letters, 116, 10.1103/physrevlett.116.121301

Reference 15

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Observation 76e2af51-3f97-4bb2-acdb-6df9e30c1af0 · outbound

This paper cites an unresolved cited work.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Unresolved cited work

Reference 16

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Observation 55ad7a10-e7ec-4172-b741-21d7ca179e9f · outbound

This paper cites an unresolved cited work.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Unresolved cited work

Reference 17

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Observation 3a327f19-0888-4ea4-b06b-b7a3afb37a55 · outbound

This paper cites an unresolved cited work.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Unresolved cited work

Reference 18

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Observation 3c3435bc-2273-40c8-b3cf-b2de1fb20302 · outbound

This paper cites an unresolved cited work.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Unresolved cited work

Reference 19

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Observation 404b7513-f968-4aec-aaa4-6786f43f4580 · outbound

This paper cites V., Dutton, A.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks V., Dutton, A

Reference 20

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Observation 6a59a257-1f19-457d-9174-ab9d998821f4 · outbound

This paper cites 2019, Astronomy and Computing, 28, 100307, 10.1016/j.ascom.2019.100307.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2019, Astronomy and Computing, 28, 100307, 10.1016/j.ascom.2019.100307

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:45.581141Z

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Observation a5aecf57-2115-471c-8973-abdab3c79512 · outbound

This paper cites F., Piedipalumbo, E., & Tortora, C.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks F., Piedipalumbo, E., & Tortora, C

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:45.635124Z

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Observation 77bb6212-6274-43a7-bb4e-0437d5964529 · outbound

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Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Unresolved cited work

Reference 23

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Observation 46a34e71-7f76-4ce0-8d7a-a10bbac9dd2a · outbound

This paper cites G., Grillmair, C.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks G., Grillmair, C

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:45.875079Z

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Observation 96286e30-c9db-4f95-993e-6885bfb21501 · outbound

This paper cites P., & Wells, M.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks P., & Wells, M

Reference 25

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Observation 237d084d-c9b8-4e06-82a7-a9f70f35e239 · outbound

This paper cites Learning Reionization History from Quasars with Simulation-Based Inference.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Learning Reionization History from Quasars with Simulation-Based Inference

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:45.919482Z

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Observation 5925e032-667d-406d-a848-f378d4d5842e · outbound

This paper cites Improved particle spray algorithm for modeling globular cluster streams.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Improved particle spray algorithm for modeling globular cluster streams

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:45.924733Z

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Observation fce8db8b-62bb-4a05-b78a-85f6b8af241a · outbound

This paper cites K., Witte, S.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks K., Witte, S

Reference 28

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Observation e80c672b-f015-427e-9c00-42e894e1b7d2 · outbound

This paper cites R., Gelman, A., & Rubin, D.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks R., Gelman, A., & Rubin, D

Reference 29

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Observation 6476ffac-97d0-4e9d-8d48-a128dec6b283 · outbound

This paper cites Report of the Topical Group on Particle Dark Matter for Snowmass 2021.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Report of the Topical Group on Particle Dark Matter for Snowmass 2021

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.047497Z

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Observation 34d030c7-3952-42ff-8371-fb6dd4509b1b · outbound

This paper cites P., Koposov, S.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks P., Koposov, S

Reference 31

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Observation fae41172-5b86-492f-b4b1-5eacd0474d25 · outbound

This paper cites Discovering Symbolic Models from Deep Learning with Inductive Biases.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Discovering Symbolic Models from Deep Learning with Inductive Biases

Reference 32

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Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Unresolved cited work

Reference 33

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Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Unresolved cited work

Reference 34

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Observation 91dd568a-3558-406a-8022-c4bed36a99ac · outbound

This paper cites Truncated proposals for scalable and hassle-free simulation-based inference.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Truncated proposals for scalable and hassle-free simulation-based inference

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.139615Z

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Observation 1702530d-ca47-4613-8f84-b7f7bc06105c · outbound

This paper cites 2007, The Astrophysical Journal, 667, 859–877, 10.1086/520573.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2007, The Astrophysical Journal, 667, 859–877, 10.1086/520573

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.200274Z

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Observation 0e58e71a-87f8-4605-a606-3a4d4cada5e2 · outbound

This paper cites 2008, Nature, 454, 735–738, 10.1038/nature07153.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2008, Nature, 454, 735–738, 10.1038/nature07153

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.222777Z

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Observation 3efa5d65-f8df-45b6-9d63-815590aa22d4 · outbound

This paper cites J., & Gratton, R.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks J., & Gratton, R

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.228717Z

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Observation e05f2844-2ef5-4798-955f-b3c2221f71a9 · outbound

This paper cites Probing the Fundamental Nature of Dark Matter with the Large Synoptic Survey Telescope.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Probing the Fundamental Nature of Dark Matter with the Large Synoptic Survey Telescope

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.233617Z

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Observation f79714b3-51ec-41a6-b90c-b05a2c1d66cc · outbound

This paper cites O., & Hart, P.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks O., & Hart, P

Reference 40

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This paper cites 2021, Monthly Notices of the Royal Astronomical Society, 507, 1746–1761, 10.1093/mnras/stab1762.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2021, Monthly Notices of the Royal Astronomical Society, 507, 1746–1761, 10.1093/mnras/stab1762

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.260526Z

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This paper cites 2015, Monthly Notices of the Royal Astronomical Society, 450, 1136–1149, 10.1093/mnras/stv655.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2015, Monthly Notices of the Royal Astronomical Society, 450, 1136–1149, 10.1093/mnras/stv655

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.344228Z

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Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Unresolved cited work

Reference 43

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Observation d10289c9-ef4b-42fb-9c20-b1cb3a4fa3f3 · outbound

This paper cites E., & Belokurov , V.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks E., & Belokurov , V

Reference 44

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Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Unresolved cited work

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.378831Z

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Observation bd5a01a5-2437-4446-be27-8c925b704dca · outbound

This paper cites A., Huang, S., & Weinberg, M.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks A., Huang, S., & Weinberg, M

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.384185Z

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Observation 9c956d7b-37a1-45c2-ad9d-a2535ce167cd · outbound

This paper cites T., Naidu, R.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks T., Naidu, R

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.429401Z

Source-reported events for the cited work

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Observation 8977b7d5-a214-45a9-844c-973f890e3327 · outbound

This paper cites 2016, Deep Learning (MIT Press).

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2016, Deep Learning (MIT Press)

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.515549Z

Source-reported events for the cited work

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Observation c30a4da1-4298-4576-9f27-8221e6e71e48 · outbound

This paper cites Automatic Posterior Transformation for Likelihood-Free Inference.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Automatic Posterior Transformation for Likelihood-Free Inference

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.594035Z

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Observation 67b3e9fb-7d48-4c6c-b4ca-b5008c9a0a4b · outbound

This paper cites J., & Dionatos, O.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks J., & Dionatos, O

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.599366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe796fdd-2dce-4b62-bfc0-206e537c0af9 · outbound

This paper cites U., Cor, J., & er.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks U., Cor, J., & er

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.604275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebb8905a-b3f4-4ebf-b2d8-e49db5df9ae5 · outbound

This paper cites 2021, Monthly Notices of the Royal Astronomical Society, 507, 1999–2011, 10.1093/mnras/stab2181.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2021, Monthly Notices of the Royal Astronomical Society, 507, 1999–2011, 10.1093/mnras/stab2181

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.609416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e43ffbdc-ba74-42bb-907b-be88e7045a52 · outbound

This paper cites Likelihood-free MCMC with Amortized Approximate Ratio Estimators.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Likelihood-free MCMC with Amortized Approximate Ratio Estimators

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.614742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64ccf801-d810-4a6d-be56-45f3c08aea89 · outbound

This paper cites 1990, The Astrophysical Journal, 356, 359, 10.1086/168845.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 1990, The Astrophysical Journal, 356, 359, 10.1086/168845

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.620329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3908b877-005f-43da-9f4e-8671f8d6556b · outbound

This paper cites Inferring dark matter subhalo properties from simulated subhalo-stream encounters.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Inferring dark matter subhalo properties from simulated subhalo-stream encounters

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.625283Z

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Unavailable: canonical work link unavailable.

Observation 6917110d-5f79-42c2-be4b-98ff0779fae9 · outbound

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Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Unresolved cited work

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.630192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8037c8d-e805-45b9-ace5-5499d0da2217 · outbound

This paper cites F., Wetzel, A., Kereš, D., et al.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks F., Wetzel, A., Kereš, D., et al

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.634837Z

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Unavailable: canonical work link unavailable.

Observation ffdb1d51-779c-4f86-9093-de4adc7de767 · outbound

This paper cites 1989, Neural networks, 2, 359.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 1989, Neural networks, 2, 359

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.640091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d9d1477-f835-4ddc-8a1f-c7968a3aa40f · outbound

This paper cites 2021, in First International Meeting for Applied Geoscience & Energy Expanded Abstracts (Society of Exploration Geophysicists), 10.1190/segam2021-3584127.1.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2021, in First International Meeting for Applied Geoscience & Energy Expanded Abstracts (Society of Exploration Geophysicists), 10.1190/segam2021-3584127.1

Reference 59

Resolution: verified exact; doi, observed 2026-08-09T04:39:48.178748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a6ad3a8e-6b37-408e-8de2-07ceccc45b7c · outbound

This paper cites 2021, , 914, 123, 10.3847/1538-4357/abfcc2.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2021, , 914, 123, 10.3847/1538-4357/abfcc2

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.650526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a797667-43bb-426a-b3ce-709b58e2158a · outbound

This paper cites A., Lewis , G.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks A., Lewis , G

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.655104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42ecfa0f-0d91-45ab-a3cc-665378b5b8bc · outbound

This paper cites A., Malhan , K., & Martin , N.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks A., Malhan , K., & Martin , N

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.660164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97a03471-f35d-4bfc-81d8-8ad6457cd5fe · outbound

This paper cites 2018, Monthly Notices of the Royal Astronomical Society, 480, 5342–5351, 10.1093/mnras/sty2226.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2018, Monthly Notices of the Royal Astronomical Society, 480, 5342–5351, 10.1093/mnras/sty2226

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.681887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e845b6a-94c2-4689-a6d8-6a0a3b98ada6 · outbound

This paper cites V., Spergel, D.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks V., Spergel, D

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.811389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 330ca574-bb97-47ca-b9e6-b8e8ac0222df · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Adam: A Method for Stochastic Optimization

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:46.942989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a78a151c-9681-4f72-a62f-c31d8f4fb620 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Semi-Supervised Classification with Graph Convolutional Networks

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.006752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0c3a43e-7ccf-4434-992c-d579769d9664 · outbound

This paper cites an unresolved cited work.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Unresolved cited work

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.011642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c84d2b1-3478-4140-89b2-06b45ab71a24 · outbound

This paper cites E., Irwin , M., Belokurov , V., et al.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks E., Irwin , M., Belokurov , V., et al

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.017437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27dd40de-4a0d-4ecf-912f-cd7770a4867c · outbound

This paper cites E., Rix , H.-W., & Hogg , D.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks E., Rix , H.-W., & Hogg , D

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.023321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc28f6cc-66b2-4f4d-8c6a-4c35c90b9247 · outbound

This paper cites H., & Helmi, A.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks H., & Helmi, A

Reference 70

Resolution: verified exact; doi, observed 2026-08-09T04:39:48.063218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8c1133c9-4df6-4f7d-abbb-0ee94220365d · outbound

This paper cites an unresolved cited work.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Unresolved cited work

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.040064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a849a72-62c1-4f43-81ba-4da725125e48 · outbound

This paper cites 2018, Physical Review D, 98, 10.1103/physrevd.98.063511.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2018, Physical Review D, 98, 10.1103/physrevd.98.063511

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.047421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e283771-4c7e-4775-9b79-b8e6976c0ff3 · outbound

This paper cites 2023, Machine Learning: Science and Technology, 4, 01LT01, 10.1088/2632-2153/acbb53.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2023, Machine Learning: Science and Technology, 4, 01LT01, 10.1088/2632-2153/acbb53

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.052901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3034ad0-3862-4061-b0a4-6c3353ccfb9d · outbound

This paper cites 2024, Physical Review D, 109, 10.1103/physrevd.109.083536.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2024, Physical Review D, 109, 10.1103/physrevd.109.083536

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.058056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 450b1e53-c2ca-49b0-9a28-dc8a8c190130 · outbound

This paper cites S., Koposov, S.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks S., Koposov, S

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.063637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f732943b-d1bf-47cf-88c1-d171a51f00d6 · outbound

This paper cites S., Koposov, S.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks S., Koposov, S

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.069439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e4bde02-7791-41af-bace-4a2bd3c6296a · outbound

This paper cites 2023, Monthly Notices of the Royal Astronomical Society, 524, 6167–6180, 10.1093/mnras/stad2262.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2023, Monthly Notices of the Royal Astronomical Society, 524, 6167–6180, 10.1093/mnras/stad2262

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.073935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9872eca1-0d41-4518-9a90-8dfa01256067 · outbound

This paper cites Towards Neural Scaling Laws on Graphs.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Towards Neural Scaling Laws on Graphs

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.078535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdd18889-ad6a-4586-9522-4187be56f4e2 · outbound

This paper cites 2021, in Proceedings of Machine Learning Research, Vol.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2021, in Proceedings of Machine Learning Research, Vol

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.083409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d1f3818-670f-489d-b957-2795cac0d195 · outbound

This paper cites an unresolved cited work.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Unresolved cited work

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.088234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5416e11f-acd5-4662-aea5-9a1c56d665cb · outbound

This paper cites V., Kang, X., Fontanot, F., et al.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks V., Kang, X., Fontanot, F., et al

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.092850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52165555-de14-423f-b033-730107da1839 · outbound

This paper cites A., Carlberg, R.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks A., Carlberg, R

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.097446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32aa26ea-b5ab-49c9-b77c-7c3515824c63 · outbound

This paper cites 2024, The Astrophysical Journal, 964, 104, 10.3847/1538-4357/ad1885.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2024, The Astrophysical Journal, 964, 104, 10.3847/1538-4357/ad1885

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.102866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77cd88aa-8fa5-4d6a-8f70-a77cfa52c0bb · outbound

This paper cites M., & Brinkmann, J.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks M., & Brinkmann, J

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.108624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ccb4b68-868f-4d65-a5e2-f5cc87d18b4c · outbound

This paper cites 2010, Reports on Progress in Physics, 73, 086901, 10.1088/0034-4885/73/8/086901.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2010, Reports on Progress in Physics, 73, 086901, 10.1088/0034-4885/73/8/086901

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.113584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7702134c-603d-49f1-8372-6f7aaa295641 · outbound

This paper cites 2000, The Astrophysical Journal, 543, 1–23, 10.1086/317079.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2000, The Astrophysical Journal, 543, 1–23, 10.1086/317079

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.118488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eae673e2-4137-449f-a2cd-7a5d93d32d1b · outbound

This paper cites D., Beckman, R.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks D., Beckman, R

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.123443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cb53274-00b7-4e24-9218-ae4a11134c17 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Efficient Estimation of Word Representations in Vector Space

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.128735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba8e05af-a398-424f-927d-34e191f22549 · outbound

This paper cites Contrastive Neural Ratio Estimation for Simulation-based Inference.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Contrastive Neural Ratio Estimation for Simulation-based Inference

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.135088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d36ae0e3-f299-45cb-8783-0fde511f8db3 · outbound

This paper cites 2022, Machine Learning: Science and Technology, 3, 01LT03, 10.1088/2632-2153/ac494a.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2022, Machine Learning: Science and Technology, 3, 01LT03, 10.1088/2632-2153/ac494a

Reference 92

Resolution: verified exact; doi, observed 2026-08-09T04:39:47.886196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1f036873-7384-4d82-b045-d5164944a441 · outbound

This paper cites Nagai, R.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Nagai, R

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.150403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f93b02e9-791d-4ca7-b0ea-ad7501d0f642 · outbound

This paper cites 2021, Physical Review Letters, 126, 10.1103/physrevlett.126.091101.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2021, Physical Review Letters, 126, 10.1103/physrevlett.126.091101

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.155260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c64aeb5-61fb-43d0-a131-88a01a0aeb68 · outbound

This paper cites O., Birrer , S., Gilman , D., et al.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks O., Birrer , S., Gilman , D., et al

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.160415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cfb8592-3969-40c7-88b1-82cbcd65a4c3 · outbound

This paper cites F., Frenk, C.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks F., Frenk, C

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.165360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 601edada-b569-4e27-ac34-ab028b20d725 · outbound

This paper cites 2024, Astronomy & Astrophysics, 689, A153, 10.1051/0004-6361/202348485.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2024, Astronomy & Astrophysics, 689, A153, 10.1051/0004-6361/202348485

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.170497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fc4a4ba-3ea6-4548-a566-20f83a1a59c7 · outbound

This paper cites J., & Carlin, J.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks J., & Carlin, J

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.175266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e727f6d-2100-44d0-b9c7-846907f07333 · outbound

This paper cites G., et al.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks G., et al

Reference 99

Resolution: verified exact; doi, observed 2026-08-09T04:39:47.817570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dace2466-9200-4180-9b92-17b4ea7677ea · outbound

This paper cites How much information can be extracted from galaxy clustering at the field level?.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks How much information can be extracted from galaxy clustering at the field level?

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.184947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c46450f-7f47-4b5b-b4e4-f18abb2189ae · outbound

This paper cites 2023, Physical Review D, 107, 10.1103/physrevd.107.043015.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2023, Physical Review D, 107, 10.1103/physrevd.107.043015

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.191772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f1dc48a-f140-42c8-b02e-498d06077713 · outbound

This paper cites 2022, The Astrophysical Journal, 940, 22, 10.3847/1538-4357/ac93ee.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks 2022, The Astrophysical Journal, 940, 22, 10.3847/1538-4357/ac93ee

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.197349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d412242-5731-4086-9b27-e65601c00663 · outbound

This paper cites K., Rockosi , C.

Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks K., Rockosi , C

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-09T04:39:47.202554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation eec3379d-b068-4c53-86f9-17c75e37e3d8 · inbound

The Milky Way - Large Magellanic Cloud Interaction with Simulation Based Inference cites this paper.

The Milky Way - Large Magellanic Cloud Interaction with Simulation Based Inference Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks

Reference 135

Resolution: unresolved; no resolver link, observed 2026-08-04T11:28:42.298112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e5bb97f-793a-4f8c-8d8f-28374c31bc45 · inbound

The Atacama Cosmology Telescope: Probing new signatures of ultralight axions with gravitational lensing cites this paper.

The Atacama Cosmology Telescope: Probing new signatures of ultralight axions with gravitational lensing Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:27:05.231585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.