Paper Citation Record · LEDGER

Improving turbulence control through explainable deep learning

As of 13 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 7 inbound Pith citation observations for arXiv:2504.02354.

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

pith.paper-citation-record.v1
2504.02354 v3

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T08:06:48.096354Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

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measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:42:02.797103Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T15:37:07.034053Z

Reference resolution

38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation 925abbb7-4181-497a-a65c-995800f6444d · outbound

This paper cites an unresolved cited work.

Improving turbulence control through explainable deep learning Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-05-25T08:10:32.777837Z

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Observation f83c7b64-20b0-4c51-bd91-c7ac38479708 · outbound

This paper cites Nature 185, 900–901 (1960).

Improving turbulence control through explainable deep learning Nature 185, 900–901 (1960)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.817456Z

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Observation a42bafe9-9f8e-4669-b32f-accaa195f686 · outbound

This paper cites Nature 214, 237–239 (1967).

Improving turbulence control through explainable deep learning Nature 214, 237–239 (1967)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.805496Z

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Observation 393d0347-f509-40df-a9fa-33794378f898 · outbound

This paper cites an unresolved cited work.

Improving turbulence control through explainable deep learning Unresolved cited work

Reference 4

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Observation 60d2c33a-b03d-41ef-ad04-a908089b51ed · outbound

This paper cites Science 329(5988), 193–196 (2010).

Improving turbulence control through explainable deep learning Science 329(5988), 193–196 (2010)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.751434Z

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Observation 22b4f5f8-3291-4827-b3f6-c7b9510955a3 · outbound

This paper cites Science 333(6039), 192–196 (2011).

Improving turbulence control through explainable deep learning Science 333(6039), 192–196 (2011)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.763341Z

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Observation bae7733a-4950-47c3-bbc9-8e0bfc9468c8 · outbound

This paper cites Science 357(6353), 782–784 (2017).

Improving turbulence control through explainable deep learning Science 357(6353), 782–784 (2017)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.759026Z

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Observation aab73b67-1794-4df2-b2db-64852e192c74 · outbound

This paper cites Annual Review of Fluid Mechanics 53(1), 1–25 (2021).

Improving turbulence control through explainable deep learning Annual Review of Fluid Mechanics 53(1), 1–25 (2021)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.771064Z

Source-reported events for the cited work

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Observation 7e1f4be9-4de4-47c4-9d5a-1b0db1c900e7 · outbound

This paper cites Nature195, 1281– 1283 (1962).

Improving turbulence control through explainable deep learning Nature195, 1281– 1283 (1962)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.789550Z

Source-reported events for the cited work

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Observation 2a433197-f93d-4558-a1b3-6bd8cd32a1ec · outbound

This paper cites Nature 338, 51–53 (1989).

Improving turbulence control through explainable deep learning Nature 338, 51–53 (1989)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.888289Z

Source-reported events for the cited work

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Observation b8b773f2-ae10-4c4a-b315-72075c76b155 · outbound

This paper cites Nature 227, 791–794 (1970).

Improving turbulence control through explainable deep learning Nature 227, 791–794 (1970)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.870884Z

Source-reported events for the cited work

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Observation e03f745e-e982-4655-9bdb-896740d3ed7e · outbound

This paper cites Journal of Fluid Mechanics 389, 335–359 (1999).

Improving turbulence control through explainable deep learning Journal of Fluid Mechanics 389, 335–359 (1999)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.875706Z

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Observation 646c6396-a082-4667-92e5-738d03650bb0 · outbound

This paper cites Physics of Fluids25(10) (2013).

Improving turbulence control through explainable deep learning Physics of Fluids25(10) (2013)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.883938Z

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Observation b2ae5849-7cb8-44fc-9800-f1546ba028bb · outbound

This paper cites Physics of Fluids 9(4), 883–900 (1997).

Improving turbulence control through explainable deep learning Physics of Fluids 9(4), 883–900 (1997)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.809242Z

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Observation 18dab086-bb1f-4a01-803e-3d0eb83b40f0 · outbound

This paper cites Journal of Fluid Mechanics 262, 75–110 (1994).

Improving turbulence control through explainable deep learning Journal of Fluid Mechanics 262, 75–110 (1994)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.813652Z

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Observation 3772522b-76ed-4a41-a6ae-124fd0d1642b · outbound

This paper cites Journal of Fluid Mechanics 842, 1 (2018).

Improving turbulence control through explainable deep learning Journal of Fluid Mechanics 842, 1 (2018)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.822160Z

Source-reported events for the cited work

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Observation 3cac8287-1984-46e8-8406-beabad06805a · outbound

This paper cites Nature 626(8000), 746–751 (2024) 14.

Improving turbulence control through explainable deep learning Nature 626(8000), 746–751 (2024) 14

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.849531Z

Source-reported events for the cited work

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Observation 54fa7f25-b1a5-4aea-92ab-65020c8d748a · outbound

This paper cites Optics Express 29(10), 15327–15344 (2021).

Improving turbulence control through explainable deep learning Optics Express 29(10), 15327–15344 (2021)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.880244Z

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Observation 2c59109e-c23e-4bff-b21e-911c37a0a49c · outbound

This paper cites SIAM Journal on Scientific Computing 36(3), 622–639 (2014).

Improving turbulence control through explainable deep learning SIAM Journal on Scientific Computing 36(3), 622–639 (2014)

Reference 19

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Observation 6475c5cc-26ec-4dfe-8361-62a6c45fd96d · outbound

This paper cites Journal of Fluid Mechanics 770, 442–457 (2015).

Improving turbulence control through explainable deep learning Journal of Fluid Mechanics 770, 442–457 (2015)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.785384Z

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Observation 0faf22f7-fc35-46a7-b625-ced5c9eff779 · outbound

This paper cites Nature Communications 16(1), 1422 (2025).

Improving turbulence control through explainable deep learning Nature Communications 16(1), 1422 (2025)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.781265Z

Source-reported events for the cited work

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Observation d9dacf2e-1144-4b2c-9714-7cf6ee356a07 · outbound

This paper cites The European Physical Journal E 46(4), 27 (2023).

Improving turbulence control through explainable deep learning The European Physical Journal E 46(4), 27 (2023)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.767346Z

Source-reported events for the cited work

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Observation eed57fd1-3543-4f03-ad31-b238ab9a945b · outbound

This paper cites Journal of Fluid Mechanics 960, 30 (2023) https://doi.org/10.1017/jfm.

Improving turbulence control through explainable deep learning Journal of Fluid Mechanics 960, 30 (2023) https://doi.org/10.1017/jfm

Reference 23

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Observation 2b5173c3-a126-419c-87c4-ccea5540b63d · outbound

This paper cites Nature Communications 15(1), 3864 (2024).

Improving turbulence control through explainable deep learning Nature Communications 15(1), 3864 (2024)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.859172Z

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Observation e979f8e4-ec9b-4d96-826a-2e256eb1a3b7 · outbound

This paper cites Advances in neural information processing systems 30 (2017).

Improving turbulence control through explainable deep learning Advances in neural information processing systems 30 (2017)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.896342Z

Source-reported events for the cited work

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Observation 2879e47e-8712-4ed7-82fe-50a18aa85bf9 · outbound

This paper cites Journal of Fluid Mechanics 30(4), 741–773 (1967).

Improving turbulence control through explainable deep learning Journal of Fluid Mechanics 30(4), 741–773 (1967)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.793545Z

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Observation a672833c-d4b3-4b30-932b-05c0b9ed0e55 · outbound

This paper cites Journal of Fluid Mechanics 225, 213–240 (1991).

Improving turbulence control through explainable deep learning Journal of Fluid Mechanics 225, 213–240 (1991)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.863255Z

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Observation ecce756c-3a5d-4b84-a7aa-3a9849f69bb4 · outbound

This paper cites arXiv preprint arXiv:2410.23189 (2024).

Improving turbulence control through explainable deep learning arXiv preprint arXiv:2410.23189 (2024)

Reference 28

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Observation 479b88f6-5e4e-4226-bc58-a84a34894f48 · outbound

This paper cites Journal of Fluid Mechanics 694, 100– 130 (2012).

Improving turbulence control through explainable deep learning Journal of Fluid Mechanics 694, 100– 130 (2012)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.834295Z

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Observation 68686876-1793-4bb6-97b3-68f106f40ab5 · outbound

This paper cites Journal of Fluid Mechanics 681, 154–172 (2011).

Improving turbulence control through explainable deep learning Journal of Fluid Mechanics 681, 154–172 (2011)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.838449Z

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Observation 8b82297b-f51e-4edb-b70c-385c860dbcf5 · outbound

This paper cites Physical Review Research 2(2), 023068 (2020).

Improving turbulence control through explainable deep learning Physical Review Research 2(2), 023068 (2020)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.842220Z

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Observation 4ec92143-47b7-4129-a6b6-6153ba576fa0 · outbound

This paper cites Numerical Algorithms 14, 1–24 (1997).

Improving turbulence control through explainable deep learning Numerical Algorithms 14, 1–24 (1997)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.846330Z

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Observation 257f8694-4a96-41ce-b82d-2cd1d41519d5 · outbound

This paper cites In: International Conference on Machine Learning, pp.

Improving turbulence control through explainable deep learning In: International Conference on Machine Learning, pp

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.854199Z

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Observation b358a623-1a3b-48d8-8682-3334e7a88778 · outbound

This paper cites Journal of Machine Learning Research 22(268), 1–8 (2021).

Improving turbulence control through explainable deep learning Journal of Machine Learning Research 22(268), 1–8 (2021)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.867080Z

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This paper cites In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18, pp.

Improving turbulence control through explainable deep learning In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18, pp

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.826576Z

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Observation 1c420e52-2a2e-4140-b1d8-9caa510fd479 · outbound

This paper cites In: Chaudhuri, K., Sugiyama, M.

Improving turbulence control through explainable deep learning In: Chaudhuri, K., Sugiyama, M

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.830280Z

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Observation a5b10b70-3ab1-4ff2-89b1-e5139ed15d43 · outbound

This paper cites International Journal of Heat and Fluid Flow 112, 109662 (2025).

Improving turbulence control through explainable deep learning International Journal of Heat and Fluid Flow 112, 109662 (2025)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.801234Z

Source-reported events for the cited work

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Observation 71e2ba41-84c9-4d8d-9e85-8791dc03f92f · outbound

This paper cites Nature machine intelligence 3(7), 620–631 (2021) 16.

Improving turbulence control through explainable deep learning Nature machine intelligence 3(7), 620–631 (2021) 16

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:10:32.797515Z

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Pith citing papers

Observation 08f7e958-524e-414d-88f9-66ae4021c6a3 · inbound

Information-theoretic machine learning for time-varying mode decomposition of separated aerodynamic flows cites this paper.

Information-theoretic machine learning for time-varying mode decomposition of separated aerodynamic flows Improving turbulence control through explainable deep learning

Reference 59

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VIVALDy: A Hybrid Generative Reduced-Order Model for Turbulent Flows, Applied to Vortex-Induced Vibrations cites this paper.

VIVALDy: A Hybrid Generative Reduced-Order Model for Turbulent Flows, Applied to Vortex-Induced Vibrations Improving turbulence control through explainable deep learning

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:01:55.587182Z

Source-reported events for the cited work

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Observation 393c59d6-7653-4f53-b001-1d9d66b6d598 · inbound

The HydroGym Reinforcement Learning Platform for Fluid Dynamics cites this paper.

The HydroGym Reinforcement Learning Platform for Fluid Dynamics Improving turbulence control through explainable deep learning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T15:17:01.572229Z

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Observation cb06866d-dafc-42ce-bd41-d19b49e63f1d · inbound

Physics-guided surrogate learning enables zero-shot control of turbulent wings cites this paper.

Physics-guided surrogate learning enables zero-shot control of turbulent wings Improving turbulence control through explainable deep learning

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:01:55.587182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5486493b-ac5f-4e0a-98f7-cc4c86a87652 · inbound

Policy-DRIFT: Dynamic Reward-Informed Flow Trajectory Steering cites this paper.

Policy-DRIFT: Dynamic Reward-Informed Flow Trajectory Steering Improving turbulence control through explainable deep learning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:01:55.587182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b4677d1e-4e5d-4542-bca7-31464970274e · inbound

Explainable deep reinforcement learning reveals energy-efficient control strategies for turbulent drag reduction cites this paper.

Explainable deep reinforcement learning reveals energy-efficient control strategies for turbulent drag reduction Improving turbulence control through explainable deep learning

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-06-28T18:02:26.898099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 842891f2-a6bc-4467-a59d-57ef796507e0 · inbound

Deep reinforcement learning with spatial and temporal awareness for active boundary control of buoyancy-driven convection cites this paper.

Deep reinforcement learning with spatial and temporal awareness for active boundary control of buoyancy-driven convection Improving turbulence control through explainable deep learning

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T15:37:07.035300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.