Paper Citation Record · LEDGER

Machine learning prediction of binary formation in three-body gravitational encounters

As of 20 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2607.16776.

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pith.paper-citation-record.v1
2607.16776 v1

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measured 51 of 51 reference resolution

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Outbound references

Observation bcb6da33-c106-4ad1-ba9b-a19705154129 · outbound

This paper cites an unresolved cited work.

Machine learning prediction of binary formation in three-body gravitational encounters Unresolved cited work

Reference 1

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This paper cites 2025, Master’s thesis, Stellenbosch University, Stellenbosch, South Africa, mEng Thesis.

Machine learning prediction of binary formation in three-body gravitational encounters 2025, Master’s thesis, Stellenbosch University, Stellenbosch, South Africa, mEng Thesis

Reference 2

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Observation dae98637-b0b0-4726-a558-68af16b25f3f · outbound

This paper cites 2022, MNRAS, 516, 4716.

Machine learning prediction of binary formation in three-body gravitational encounters 2022, MNRAS, 516, 4716

Reference 3

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Observation c5d1707a-2b62-4c4b-8c78-f98af38dcd8a · outbound

This paper cites B., & Weatherford, N.

Machine learning prediction of binary formation in three-body gravitational encounters B., & Weatherford, N

Reference 4

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Observation d8540a04-4a56-4ee9-b820-0b93cfb22075 · outbound

This paper cites C., Trani, A.

Machine learning prediction of binary formation in three-body gravitational encounters C., Trani, A

Reference 5

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Observation 03f4903a-5679-42bd-aaee-478309f2b24f · outbound

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Machine learning prediction of binary formation in three-body gravitational encounters & Bengio, Y

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Observation 7a5987fd-0224-4f9f-9136-d550a7073a42 · outbound

This paper cites & Tremaine, S.

Machine learning prediction of binary formation in three-body gravitational encounters & Tremaine, S

Reference 7

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Observation 26de29c6-633e-465d-a9ef-4c0ded55cf5a · outbound

This paper cites G., Foley, C.

Machine learning prediction of binary formation in three-body gravitational encounters G., Foley, C

Reference 8

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Observation c3240b37-9db3-4674-967c-e4c2387e25c3 · outbound

This paper cites 2020, arXiv e-prints, arXiv:2008.11107 Caritá, G.

Machine learning prediction of binary formation in three-body gravitational encounters 2020, arXiv e-prints, arXiv:2008.11107 Caritá, G

Reference 9

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Observation 72fccb08-2fd2-4892-aaf2-9b67ce0577eb · outbound

This paper cites 2004, Using Random Forest to Learn Imbal- anced Data, Tech.

Machine learning prediction of binary formation in three-body gravitational encounters 2004, Using Random Forest to Learn Imbal- anced Data, Tech

Reference 10

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Observation c3c17372-a3f9-48fe-97e1-3e5753cd7f74 · outbound

This paper cites XGBoost: A Scalable Tree Boosting System.

Machine learning prediction of binary formation in three-body gravitational encounters XGBoost: A Scalable Tree Boosting System

Reference 11

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Machine learning prediction of binary formation in three-body gravitational encounters Unresolved cited work

Reference 12

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Machine learning prediction of binary formation in three-body gravitational encounters Unresolved cited work

Reference 13

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Observation bc5c2744-ab63-4e5f-8e7d-239943ecc1eb · outbound

This paper cites 2018, Journal of Intelligent Tech- nologies and Applied Statistics, 11, 105.

Machine learning prediction of binary formation in three-body gravitational encounters 2018, Journal of Intelligent Tech- nologies and Applied Statistics, 11, 105

Reference 14

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Machine learning prediction of binary formation in three-body gravitational encounters Unresolved cited work

Reference 15

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Machine learning prediction of binary formation in three-body gravitational encounters Unresolved cited work

Reference 16

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Observation 9843d4fa-2d88-47c7-bec9-4593e7501b57 · outbound

This paper cites M., Clarke, C.

Machine learning prediction of binary formation in three-body gravitational encounters M., Clarke, C

Reference 17

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Machine learning prediction of binary formation in three-body gravitational encounters & Modak, S

Reference 18

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Observation eef03969-6a75-4312-b71b-4f4042f10dfc · outbound

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Machine learning prediction of binary formation in three-body gravitational encounters & Hut, P

Reference 19

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Machine learning prediction of binary formation in three-body gravitational encounters Unresolved cited work

Reference 20

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Observation b30024cd-ccfc-4382-922d-05ceb39f95b1 · outbound

This paper cites C., Hut, P., & McMillan, S.

Machine learning prediction of binary formation in three-body gravitational encounters C., Hut, P., & McMillan, S

Reference 21

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Observation 32cb1205-a3cd-4be8-801f-471feeaa5f80 · outbound

This paper cites 1985, IAU Symposium, 113, 231, binary-single star scattering experi- ments.

Machine learning prediction of binary formation in three-body gravitational encounters 1985, IAU Symposium, 113, 231, binary-single star scattering experi- ments

Reference 22

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Machine learning prediction of binary formation in three-body gravitational encounters & Bahcall, J

Reference 23

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Observation b66896b2-0fbd-4f6d-b4a9-186c40be05f1 · outbound

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Machine learning prediction of binary formation in three-body gravitational encounters M., & Rasio, F

Reference 24

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Observation 66bde5a1-e96b-421f-9730-0d608beced86 · outbound

This paper cites 2001, MNRAS, 322, 231.

Machine learning prediction of binary formation in three-body gravitational encounters 2001, MNRAS, 322, 231

Reference 25

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This paper cites 2020, MNRAS, 493, 1842.

Machine learning prediction of binary formation in three-body gravitational encounters 2020, MNRAS, 493, 1842

Reference 26

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Machine learning prediction of binary formation in three-body gravitational encounters Unresolved cited work

Reference 27

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Machine learning prediction of binary formation in three-body gravitational encounters Unresolved cited work

Reference 28

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Observation e385e214-59a1-4a3c-aaf7-84b36d78dac4 · outbound

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Machine learning prediction of binary formation in three-body gravitational encounters & Kroupa, P

Reference 29

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Machine learning prediction of binary formation in three-body gravitational encounters S., Xu, S., Federrath, C., Hu, Y ., & Seta, A

Reference 30

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This paper cites New Hard-thresholding Rules based on Data Splitting in High-dimensional Imbalanced Classification.

Machine learning prediction of binary formation in three-body gravitational encounters New Hard-thresholding Rules based on Data Splitting in High-dimensional Imbalanced Classification

Reference 31

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Machine learning prediction of binary formation in three-body gravitational encounters & Clocchiatti, A

Reference 32

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Machine learning prediction of binary formation in three-body gravitational encounters Unresolved cited work

Reference 33

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Machine learning prediction of binary formation in three-body gravitational encounters Unresolved cited work

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Observation f031b325-4124-4368-90de-ec94a112c5b7 · outbound

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Machine learning prediction of binary formation in three-body gravitational encounters 2024, ApJ, 965, 89

Reference 35

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This paper cites High Performance Direct Gravitational N-body Simulations on Graphics Processing Units.

Machine learning prediction of binary formation in three-body gravitational encounters High Performance Direct Gravitational N-body Simulations on Graphics Processing Units

Reference 36

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Machine learning prediction of binary formation in three-body gravitational encounters & Liu, S.-F

Reference 37

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Machine learning prediction of binary formation in three-body gravitational encounters & Spiegel, D

Reference 38

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Machine learning prediction of binary formation in three-body gravitational encounters L., Weatherford, N

Reference 39

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Observation 175f5194-eb1f-4b48-9842-a2d9b5627c0d · outbound

This paper cites Advancing Solutions for the Three-Body Problem Through Physics-Informed Neural Networks.

Machine learning prediction of binary formation in three-body gravitational encounters Advancing Solutions for the Three-Body Problem Through Physics-Informed Neural Networks

Reference 40

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Machine learning prediction of binary formation in three-body gravitational encounters & Kanisha, B

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Machine learning prediction of binary formation in three-body gravitational encounters 2025, ApJS, 281, 42

Reference 42

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Machine learning prediction of binary formation in three-body gravitational encounters H., & Bromm, V

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Machine learning prediction of binary formation in three-body gravitational encounters 2022, PASA, 39, e062

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Machine learning prediction of binary formation in three-body gravitational encounters A., Spera, M., Leigh, N

Reference 45

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Machine learning prediction of binary formation in three-body gravitational encounters & Karttunen, H

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This paper cites An empirical evaluation of imbalanced data strategies from a practitioner's point of view.

Machine learning prediction of binary formation in three-body gravitational encounters An empirical evaluation of imbalanced data strategies from a practitioner's point of view

Reference 47

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Machine learning prediction of binary formation in three-body gravitational encounters 2020, MNRAS, 497, 536

Reference 48

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Machine learning prediction of binary formation in three-body gravitational encounters & Kroupa, P

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Machine learning prediction of binary formation in three-body gravitational encounters & Holman, M

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Machine learning prediction of binary formation in three-body gravitational encounters & Barba, L

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