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Paper Citation Record · LEDGER

Turbulence teaches equivariance to neural networks

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2602.04695.

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

pith.paper-citation-record.v1
2602.04695 v3

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:32:49.653159Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 49cfd027-9f71-4776-9a0e-a6d717d34b53 · outbound

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

Turbulence teaches equivariance to neural networks , " * write output.state after.block = add.period write newline

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 03da83c0-90ef-40fb-a7c4-5c82733def54 · outbound

This paper cites write newline.

Turbulence teaches equivariance to neural networks write newline

Reference 2

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source=arxiv_source observed=2026-08-03T04:32:46.580164Z digest=sha256:4c9b6af8ff19ca759f89eaab37a77892ca666fb7ddae8bdc5b5c792ae620b1cb

Observation d4598e67-5be9-4ad8-be91-1ab358052098 · outbound

This paper cites In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition\/.

Turbulence teaches equivariance to neural networks In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition\/

Reference 3

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Observation 7a4fa946-6c2f-41ef-9e7a-2bdba4e5a583 · outbound

This paper cites , Krahl, R.

Turbulence teaches equivariance to neural networks , Krahl, R

Reference 4

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source=arxiv_source observed=2026-08-03T04:32:46.736585Z digest=sha256:98959d44e75e0d66a2719d7418ba78097196c4cd9d2f607630ced65b147ee48c

Observation dc968885-da0a-40d3-a683-f1aee886359f · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence 38 (2), 295--307.

Turbulence teaches equivariance to neural networks IEEE transactions on pattern analysis and machine intelligence 38 (2), 295--307

Reference 5

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Observation fc165920-2684-4592-a271-88f622a28ce4 · outbound

This paper cites Annual Review of Fluid Mechanics 51 (Volume 51, 2019), 357--377.

Turbulence teaches equivariance to neural networks Annual Review of Fluid Mechanics 51 (Volume 51, 2019), 357--377

Reference 6

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Observation 952a2838-b118-4358-abad-52a93b382b2f · outbound

This paper cites Computer Methods in Applied Mechanics and Engineering 433 , 117478.

Turbulence teaches equivariance to neural networks Computer Methods in Applied Mechanics and Engineering 433 , 117478

Reference 7

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source=arxiv_source observed=2026-08-03T04:32:46.930482Z digest=sha256:7d86578f7f0a4ea61426eb8efc9772b9823175e7e406e7cd78a43d73f959603f

Observation 88a7238d-da10-4e22-ab8d-e1d547cde367 · outbound

This paper cites Journal of Fluid Mechanics 870 , 106–120.

Turbulence teaches equivariance to neural networks Journal of Fluid Mechanics 870 , 106–120

Reference 8

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source=arxiv_source observed=2026-08-03T04:32:47.011582Z digest=sha256:9d772d1a397dd9cdc3261d11dfa9e2426fc78cf055182e2c2c19daaf4270951d

Observation 27cc56e0-27d3-4e53-8d5f-5f31903a2dff · outbound

This paper cites Journal of Fluid Mechanics 909 , A9.

Turbulence teaches equivariance to neural networks Journal of Fluid Mechanics 909 , A9

Reference 9

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Observation 520c455a-0dab-47b0-aced-a880f335205f · outbound

This paper cites Journal of Fluid Mechanics.

Turbulence teaches equivariance to neural networks Journal of Fluid Mechanics

Reference 10

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Observation fa74cf21-ba9e-435d-a92f-492e04b45366 · outbound

This paper cites In International Conference on Machine Learning\/.

Turbulence teaches equivariance to neural networks In International Conference on Machine Learning\/

Reference 11

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Observation 5a997354-8939-4be4-a08e-cf54a9b69cf3 · outbound

This paper cites an unresolved cited work.

Turbulence teaches equivariance to neural networks Unresolved cited work

Reference 12

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Observation 8de34057-63df-4d4b-95f2-8fdce61177b7 · outbound

This paper cites Harnessing Equivariance: Modeling Turbulence with Graph Neural Networks.

Turbulence teaches equivariance to neural networks Harnessing Equivariance: Modeling Turbulence with Graph Neural Networks

Reference 13

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Observation d7aaa00c-fb71-47cf-9ee4-5273a9be1905 · outbound

This paper cites Journal of Turbulence 9 , 1--29.

Turbulence teaches equivariance to neural networks Journal of Turbulence 9 , 1--29

Reference 14

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Observation 289257c9-84f0-49e5-8418-4d59014a6b28 · outbound

This paper cites Journal of Fluid Mechanics 807 , 155–166.

Turbulence teaches equivariance to neural networks Journal of Fluid Mechanics 807 , 155–166

Reference 15

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Observation fa3fdc78-df47-405c-9b0c-5133a1d50b2b · outbound

This paper cites Physics of Fluids 32 , 025105.

Turbulence teaches equivariance to neural networks Physics of Fluids 32 , 025105

Reference 16

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Observation 0bf790c6-ace2-43ef-87af-8647e6d6cbec · outbound

This paper cites an unresolved cited work.

Turbulence teaches equivariance to neural networks Unresolved cited work

Reference 17

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Observation cc62b34f-a969-4fa7-b0be-bb29dd0d1509 · outbound

This paper cites an unresolved cited work.

Turbulence teaches equivariance to neural networks Unresolved cited work

Reference 18

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Observation 8db23b96-0e8a-470d-9c3a-ef169784d093 · outbound

This paper cites Journal of Fluid Mechanics.

Turbulence teaches equivariance to neural networks Journal of Fluid Mechanics

Reference 19

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no resolver link, observed 2026-08-03T04:32:47.860676Z

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Observation 3a52326b-d07c-44b0-8cab-881161c9b787 · outbound

This paper cites Computers & Fluids 275 , 106249.

Turbulence teaches equivariance to neural networks Computers & Fluids 275 , 106249

Reference 20

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Observation 1949037a-d692-45e3-a3c8-d55e90796cbe · outbound

This paper cites & Evans, John A.

Turbulence teaches equivariance to neural networks & Evans, John A

Reference 21

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Observation 432d7b06-e94b-4b5e-88f1-01c4fc79436c · outbound

This paper cites , Perdikaris, P.

Turbulence teaches equivariance to neural networks , Perdikaris, P

Reference 22

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Observation 1389d9e6-91b4-414a-a9ec-f77ee04b580f · outbound

This paper cites Journal of Computational Physics 478 , 111972.

Turbulence teaches equivariance to neural networks Journal of Computational Physics 478 , 111972

Reference 23

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Observation da5634f7-45a9-4f24-adb8-6984196288c0 · outbound

This paper cites In Proceedings of the 41st International Conference on Machine Learning\/ (ed.

Turbulence teaches equivariance to neural networks In Proceedings of the 41st International Conference on Machine Learning\/ (ed

Reference 24

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Observation 4f4e721d-511f-4f34-a388-33ad7da49329 · outbound

This paper cites Approximately Equivariant Networks for Imperfectly Symmetric Dynamics.

Turbulence teaches equivariance to neural networks Approximately Equivariant Networks for Imperfectly Symmetric Dynamics

Reference 25

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Observation ceabdd67-d02c-40d9-a326-aca194f8e084 · outbound

This paper cites , Nair, P.

Turbulence teaches equivariance to neural networks , Nair, P

Reference 26

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source=arxiv_source observed=2026-08-03T04:32:49.230439Z digest=sha256:bf0f1473583a3392de638b775d6d08bae7dcfe9743b6aa1b8b3bf8cdf941b234

Observation d8e5b672-a6eb-4d1e-8a12-faf5c381ecbf · outbound

This paper cites In International Conference on Learning Representations\/.

Turbulence teaches equivariance to neural networks In International Conference on Learning Representations\/

Reference 27

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Observation eb3b01d6-e7b0-4849-9387-087fa60f33d2 · outbound

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Turbulence teaches equivariance to neural networks APL Machine Learning

Reference 28

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Observation 0072894b-3001-47c6-a7bf-ffc1884a1e1e · outbound

This paper cites IEEE Transactions on Computational Imaging 3 (1), 47--57.

Turbulence teaches equivariance to neural networks IEEE Transactions on Computational Imaging 3 (1), 47--57

Reference 29

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Pith citing papers

No inbound Pith citation observations are available.