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Paper Citation Record · LEDGER

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning

As of 19 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2502.07610.

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

pith.paper-citation-record.v1
2502.07610 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:12:57.587445Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

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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

60 of 60 outbound references displayed

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External citation measurements

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Outbound references

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Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning , " * write output.state after.block = add.period write newline

Reference 1

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Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning write newline

Reference 2

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This paper cites Cambridge university press.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Cambridge university press

Reference 3

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This paper cites IEA, Paris.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning IEA, Paris

Reference 4

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Observation eb6c4817-44f2-4504-b19a-23a29639176c · outbound

This paper cites Big Data Research 2 (3), 87--93.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Big Data Research 2 (3), 87--93

Reference 5

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Observation 451242bf-1284-4cc4-9694-3b82f1f61d18 · outbound

This paper cites Proceedings of the National Academy of Sciences 116 (31), 15344--15349.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Proceedings of the National Academy of Sciences 116 (31), 15344--15349

Reference 6

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Observation ee8bd44e-a22e-41da-83d9-7f614a3f436d · outbound

This paper cites Journal of Computational Physics 398 , 108910.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Journal of Computational Physics 398 , 108910

Reference 7

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Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Unresolved cited work

Reference 8

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This paper cites , Vela-Mart\'in, Alberto & Jim\'enez, Javier 2017 The turbulent cascade in five dimensions.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning , Vela-Mart\'in, Alberto & Jim\'enez, Javier 2017 The turbulent cascade in five dimensions

Reference 9

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This paper cites McKinsey Global Institute 2 , 267.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning McKinsey Global Institute 2 , 267

Reference 10

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Observation daf08b29-fef6-411d-a915-f149efb432ac · outbound

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

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Nature Communications 15 (1), 3864

Reference 11

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Observation 73bda70a-814f-4590-83fe-0b5f177ee17d · outbound

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

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning International Journal of Heat and Fluid Flow 112 , 109662

Reference 12

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This paper cites Journal of Fluid Mechanics 991 , A1.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Journal of Fluid Mechanics 991 , A1

Reference 13

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This paper cites Theoretical and Computational Fluid Dynamics 38 (5), 729--745.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Theoretical and Computational Fluid Dynamics 38 (5), 729--745

Reference 14

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Observation c459424f-cb04-4470-91d7-485a9240eca0 · outbound

This paper cites Physical Review Fluids 8 (12), 124604.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Physical Review Fluids 8 (12), 124604

Reference 15

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Observation c5e5d34f-f3f4-4634-bf49-7c4311752c92 · outbound

This paper cites Experiments in Fluids 39 , 222--231.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Experiments in Fluids 39 , 222--231

Reference 16

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This paper cites Journal of Fluid Mechanics 60 (2), 321--362.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Journal of Fluid Mechanics 60 (2), 321--362

Reference 17

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Observation eded149f-8b9f-48b0-933e-4874d0ba7ace · outbound

This paper cites Journal of Fluid Mechanics 928 , A27.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Journal of Fluid Mechanics 928 , A27

Reference 18

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Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Experiments in fluids 54 , 1--13

Reference 19

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Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning International Journal of Heat and Fluid Flow 97 , 109038

Reference 20

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Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning & Laux, Jonathan 2022 Wall turbulence at high friction Reynolds numbers

Reference 21

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This paper cites Journal of fluid mechanics 758 , 728--753.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Journal of fluid mechanics 758 , 728--753

Reference 22

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This paper cites In The 22nd International Conference on Artificial Intelligence and Statistics\/ , pp.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning In The 22nd International Conference on Artificial Intelligence and Statistics\/ , pp

Reference 23

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This paper cites Physics of Fluids 25 , 101302.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Physics of Fluids 25 , 101302

Reference 24

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Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Journal of Fluid Mechanics 842 , P1

Reference 25

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This paper cites Journal of Fluid Mechanics 754 , 365--414.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Journal of Fluid Mechanics 754 , 365--414

Reference 26

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This paper cites Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 369 (1940), 1396--1411.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 369 (1940), 1396--1411

Reference 27

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Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Journal of Fluid Mechanics 882 , A18

Reference 28

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Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Energy p

Reference 29

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Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Unresolved cited work

Reference 30

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This paper cites Proceedings of the National Academy of Sciences 118 (21), e2101784118.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Proceedings of the National Academy of Sciences 118 (21), e2101784118

Reference 31

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Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Unresolved cited work

Reference 32

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Observation fc80e73f-e188-471d-8506-e7f84d244ca3 · outbound

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Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Nature 521 (7553), 436--444

Reference 33

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Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Neural computation 1 (4), 541--551

Reference 34

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Observation 74be5666-25d5-4060-b51f-6ee62e0f5f46 · outbound

This paper cites Physics of Fluids 9 (6), 1740--1747.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Physics of Fluids 9 (6), 1740--1747

Reference 35

Resolution
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raw_fallback, observed 2026-08-08T12:12:58.037244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a624890e-df68-4831-9e5c-d0adbd0cad37 · outbound

This paper cites Journal of Computational Physics 404 , 108973.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Journal of Computational Physics 404 , 108973

Reference 36

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ad4e21ff-9211-491a-89b3-777a1a1109cd · outbound

This paper cites Journal of Fluid Mechanics 942 , A2.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Journal of Fluid Mechanics 942 , A2

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-08T12:12:57.471791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2fb60b36-3778-46f0-a9c9-16b5880e7f31 · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Fourier Neural Operator for Parametric Partial Differential Equations

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T12:12:57.477355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3bd5b060-3e50-43bb-95fc-f9a11d9d1c50 · outbound

This paper cites Experiments in fluids 10 , 301--312.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Experiments in fluids 10 , 301--312

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c541fad5-a9ab-496e-82c1-d9e5cdb31a7b · outbound

This paper cites Journal of Fluid Mechanics 694 , 100--130.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Journal of Fluid Mechanics 694 , 100--130

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5d2a1ae9-6b7a-4337-8cbf-0436c5970cd1 · outbound

This paper cites an unresolved cited work.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Unresolved cited work

Reference 41

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation fbcf6b1f-5777-4c67-aa7f-f66b1dda9c37 · outbound

This paper cites Physics of Fluids 36 (10).

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Physics of Fluids 36 (10)

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 109fed8d-4349-4cd6-84a0-b1db5b24a52d · outbound

This paper cites Nature communications 12 (1), 5805.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Nature communications 12 (1), 5805

Reference 43

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9af91de5-589f-4005-bc10-6fa0ae64df7b · outbound

This paper cites Physics of Fluids 34 (3).

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Physics of Fluids 34 (3)

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:12:57.915499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5b6705e7-01c8-4e3d-8c46-a861f054bc03 · outbound

This paper cites Theoretical and Computational Fluid Dynamics 35 (5), 633--658.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Theoretical and Computational Fluid Dynamics 35 (5), 633--658

Reference 45

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e750fac2-30a5-4ee9-9dfd-ebd4a4e67466 · outbound

This paper cites Journal of Fluid Mechanics 882 , A13.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Journal of Fluid Mechanics 882 , A13

Reference 46

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e1af6bb0-efef-4330-a1a7-8ace42716b1b · outbound

This paper cites Mem., acad.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Mem., acad

Reference 47

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 53e04b35-6527-4235-87ac-df52f96967fd · outbound

This paper cites Journal of Fluid Mechanics 1000 , A4.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Journal of Fluid Mechanics 1000 , A4

Reference 48

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a647ce7c-cdef-4c73-86c4-79d743c36c86 · outbound

This paper cites Measurement Science and Technology 28 (12), 125301.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Measurement Science and Technology 28 (12), 125301

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:12:57.835642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9905edc7-84fc-46a0-aafc-b3381cbd849f · outbound

This paper cites an unresolved cited work.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-08T12:12:57.820439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cb4006b5-7104-4e4a-9edc-8d8b55df6e1a · outbound

This paper cites Contribution to the Theory of Games 2.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Contribution to the Theory of Games 2

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:12:57.802784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 10b0f8ba-40ac-4cb8-8dee-2d39da7e76e1 · outbound

This paper cites an unresolved cited work.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-08T12:12:57.785694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 463589ee-7086-433f-9023-3c8c2aa45f74 · outbound

This paper cites Physics of Fluids 35 (12).

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Physics of Fluids 35 (12)

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:12:57.769386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 266e6a67-fd10-4df5-b668-ceadebf7c705 · outbound

This paper cites an unresolved cited work.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-08T12:12:57.751718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-08T12:12:57.557483Z digest=sha256:99d7d7e63d5dcf4ddc22e7667d3b44f84226a25ce37598f2fba7a306fb40574f

Observation 2cb23079-925d-4158-955f-e434adeb4573 · outbound

This paper cites 1976 The Structure of Turbulent Shear Flows, 2nd ed.\/.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning 1976 The Structure of Turbulent Shear Flows, 2nd ed.\/

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:12:57.733671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-08T12:12:57.562302Z digest=sha256:de5a631859656bbdfecbc7787fa011a55a9c7c404877822d97f4a7a6a04277cf

Observation 18139a90-aa01-445c-98ef-0a2c42a60781 · outbound

This paper cites & Brunton, S.L.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning & Brunton, S.L

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:12:57.715404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-08T12:12:57.567180Z digest=sha256:b4318aa87be005e52b0730c372bb16cd9d49e6a4f65a24ec9bc9d531b96be4e5

Observation bf56ee82-d21b-4ab0-8502-984f7fb0cf5d · outbound

This paper cites Nature Reviews Physics 5 (9), 536--545.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Nature Reviews Physics 5 (9), 536--545

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:12:57.698498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-08T12:12:57.572685Z digest=sha256:82b91d619693af3a883277a775a40fbe12be6743e09351f5b78f25adcfd219d7

Observation b840e848-505d-4a82-84bd-07a6f4ba1ff7 · outbound

This paper cites Physical Review Fluids 2 (3), 034603.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Physical Review Fluids 2 (3), 034603

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:12:57.682448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-08T12:12:57.577505Z digest=sha256:dbe0e6e56637188757c87a631b890e417f57ac0c9e45d2994404c76ff6a7c162

Observation 69c592bd-bd2f-4003-805c-aa36b699d7c8 · outbound

This paper cites Scientific Reports 13 (1), 2529.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Scientific Reports 13 (1), 2529

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:12:57.664113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2a8a09ff-1b78-4ac8-89a4-43251a2c4fbd · outbound

This paper cites Journal of Microelectromechanical Systems 14 (1), 167--175.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Journal of Microelectromechanical Systems 14 (1), 167--175

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:12:57.646191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-08T12:12:57.587445Z digest=sha256:a814f49f3fbee8b2cb1b093a2cf28be0ce8c17db8c9e7603bd636ea2509d671c

Pith citing papers

No inbound Pith citation observations are available.