Paper Citation Record · LEDGER

Machine learning approach for mapping the stable orbits around planets

As of 14 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2412.04568.

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

pith.paper-citation-record.v1
2412.04568 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:04:57.096817Z

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A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

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External citation measurements

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Outbound references

Observation 352f0128-878a-48d1-a7d3-e9d6ca0b9962 · outbound

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

Machine learning approach for mapping the stable orbits around planets , " * write output.state after.block = add.period write newline

Reference 1

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This paper cites write newline.

Machine learning approach for mapping the stable orbits around planets write newline

Reference 2

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Observation 87a3eb9a-aad7-4e6d-ad9f-391577f15694 · outbound

This paper cites 2021, Artif.

Machine learning approach for mapping the stable orbits around planets 2021, Artif

Reference 3

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Observation f24637c7-6020-4b7f-83b1-399134effc37 · outbound

This paper cites 1996, Mach.

Machine learning approach for mapping the stable orbits around planets 1996, Mach

Reference 4

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Observation 54365ff2-6270-4745-ac4e-24c675c64321 · outbound

This paper cites 2001, Mach.

Machine learning approach for mapping the stable orbits around planets 2001, Mach

Reference 5

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Observation a1172bc0-86d0-4f9d-bb99-5d2594e47976 · outbound

This paper cites 2023 a , FrASS, 10, 1196223.

Machine learning approach for mapping the stable orbits around planets 2023 a , FrASS, 10, 1196223

Reference 6

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This paper cites 2023 b , FrASS, 10.

Machine learning approach for mapping the stable orbits around planets 2023 b , FrASS, 10

Reference 7

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Observation d9134a91-5507-448b-ad71-0e1f7da6e646 · outbound

This paper cites V., Bowyer, K.

Machine learning approach for mapping the stable orbits around planets V., Bowyer, K

Reference 8

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Observation 938b331d-eccf-4d2d-8775-bb75f14dbf0a · outbound

This paper cites 2004, in IJCNN, Vol.

Machine learning approach for mapping the stable orbits around planets 2004, in IJCNN, Vol

Reference 9

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Observation 48d294ec-ddb4-4927-9ed3-0721a25aa426 · outbound

This paper cites & Guestrin, C.

Machine learning approach for mapping the stable orbits around planets & Guestrin, C

Reference 10

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Observation b5b6308b-b32d-4a4e-a135-16feff59bce1 · outbound

This paper cites 2021, PNAS, 118, e2026053118.

Machine learning approach for mapping the stable orbits around planets 2021, PNAS, 118, e2026053118

Reference 11

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Observation 7a440726-2d0f-4f95-97fb-c5b13749b913 · outbound

This paper cites 2011, Random Forests.

Machine learning approach for mapping the stable orbits around planets 2011, Random Forests

Reference 12

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Observation 22b6e0ce-9011-4e0f-9f43-22f8a8b3a842 · outbound

This paper cites C., Winter, O.

Machine learning approach for mapping the stable orbits around planets C., Winter, O

Reference 13

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Machine learning approach for mapping the stable orbits around planets Unresolved cited work

Reference 14

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Observation abb36d11-f1ed-4e12-a878-44f259edb7e5 · outbound

This paper cites 2011, Stat.

Machine learning approach for mapping the stable orbits around planets 2011, Stat

Reference 15

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Observation 308c172b-2d0d-4d75-bcaf-e5f8157abec1 · outbound

This paper cites O'Reilly Media, Inc.

Machine learning approach for mapping the stable orbits around planets O'Reilly Media, Inc

Reference 16

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Observation 2196e129-0812-4890-b263-3a0ae2fa1f5c · outbound

This paper cites 2005, in ICIC, Springer, 878--887.

Machine learning approach for mapping the stable orbits around planets 2005, in ICIC, Springer, 878--887

Reference 17

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Observation 437bc551-2cb4-49eb-8e49-f5a4fee4d9e4 · outbound

This paper cites A., & Li, S.

Machine learning approach for mapping the stable orbits around planets A., & Li, S

Reference 18

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Machine learning approach for mapping the stable orbits around planets Unresolved cited work

Reference 19

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Observation 9242bf64-b5ec-4c10-9982-23ad9ce00d37 · outbound

This paper cites 1967, MNRAS, 136, 245.

Machine learning approach for mapping the stable orbits around planets 1967, MNRAS, 136, 245

Reference 20

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This paper cites M., & Semary, N.

Machine learning approach for mapping the stable orbits around planets M., & Semary, N

Reference 21

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Observation 13f56fa4-781f-4ae6-80bb-957ebfbb5719 · outbound

This paper cites 2017, Adv Neural Inf Process Syst, 30.

Machine learning approach for mapping the stable orbits around planets 2017, Adv Neural Inf Process Syst, 30

Reference 22

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This paper cites & Sheshadri, H.

Machine learning approach for mapping the stable orbits around planets & Sheshadri, H

Reference 23

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Observation ae914fb9-83bb-4d50-9b5d-99313271cb84 · outbound

This paper cites & Kipping, D.

Machine learning approach for mapping the stable orbits around planets & Kipping, D

Reference 24

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Observation ea9c54b2-2039-49cb-a9b8-911d1f478afd · outbound

This paper cites 1997, McGraw Hill.

Machine learning approach for mapping the stable orbits around planets 1997, McGraw Hill

Reference 25

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Observation dd66019a-9f1f-4940-9e86-e9f87994fc4b · outbound

This paper cites 2020, in ICICS, IEEE, 243--248.

Machine learning approach for mapping the stable orbits around planets 2020, in ICICS, IEEE, 243--248

Reference 26

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Machine learning approach for mapping the stable orbits around planets Unresolved cited work

Reference 27

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Machine learning approach for mapping the stable orbits around planets Unresolved cited work

Reference 28

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Machine learning approach for mapping the stable orbits around planets Unresolved cited work

Reference 29

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Machine learning approach for mapping the stable orbits around planets & Spiegel, D

Reference 30

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Machine learning approach for mapping the stable orbits around planets & Kenworthy, M

Reference 31

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This paper cites 2011, A&A, 532, A79.

Machine learning approach for mapping the stable orbits around planets 2011, A&A, 532, A79

Reference 32

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Machine learning approach for mapping the stable orbits around planets & Ben-David, S

Reference 33

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Machine learning approach for mapping the stable orbits around planets Unresolved cited work

Reference 34

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This paper cites 2020, PNAS, 117, 18194.

Machine learning approach for mapping the stable orbits around planets 2020, PNAS, 117, 18194

Reference 35

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Observation 002f39db-99c9-427f-86db-736f5d2c5a2b · outbound

This paper cites 2016, ApJL, 832, L22.

Machine learning approach for mapping the stable orbits around planets 2016, ApJL, 832, L22

Reference 36

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Machine learning approach for mapping the stable orbits around planets & Glynn, K

Reference 37

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This paper cites J., Mueller, A.

Machine learning approach for mapping the stable orbits around planets J., Mueller, A

Reference 38

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Machine learning approach for mapping the stable orbits around planets 2015, Comput

Reference 39

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This paper cites 2016, Big Data Res., 5, 2.

Machine learning approach for mapping the stable orbits around planets 2016, Big Data Res., 5, 2

Reference 40

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Pith citing papers

Observation eda4cff5-3864-4e97-b6d6-c0c85b65d43f · inbound

Predicting the unpredictable: binary--single scattering with machine learning cites this paper.

Predicting the unpredictable: binary--single scattering with machine learning Machine learning approach for mapping the stable orbits around planets

Reference 69

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