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Paper Citation Record · LEDGER

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics

As of 22 August 2026, this Paper Citation Record lists 93 of 93 outbound references and 0 inbound Pith citation observations for arXiv:1908.08941.

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

pith.paper-citation-record.v1
1908.08941 v5

Coverage vector

measured 93 of 93 reference resolution

Typed states for the displayed outbound observations.

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measured 93 of 93 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.

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

Source: cited_works

Reference resolution

93 of 93 outbound references displayed

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External citation measurements

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Outbound references

Observation 43341cf5-f6ab-468f-a304-36bd7705a66f · outbound

This paper cites Agresti and B.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Agresti and B

Reference 1

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This paper cites Arbabi and I.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Arbabi and I

Reference 2

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This paper cites Arbabi and I.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Arbabi and I

Reference 3

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This paper cites Wasserstein GAN.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Wasserstein GAN

Reference 4

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Observation eda32f46-aa08-418d-85fd-423c04418443 · outbound

This paper cites Berrisford, D.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Berrisford, D

Reference 5

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This paper cites Bigoni, A.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Bigoni, A

Reference 6

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This paper cites Boyd and L.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Boyd and L

Reference 7

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This paper cites Broer and F.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Broer and F

Reference 8

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Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 9

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Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 10

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This paper cites Chattopadhyay, P.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Chattopadhyay, P

Reference 11

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Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 12

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Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 13

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Observation 578fae0d-4b6e-4624-aa19-bd8b2f419458 · outbound

This paper cites Coles, J.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Coles, J

Reference 14

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This paper cites Cvitanovi´c, R.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Cvitanovi´c, R

Reference 15

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This paper cites de la Torre and J.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics de la Torre and J

Reference 16

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Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Dellnitz and O

Reference 17

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Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 18

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This paper cites DelSole, Stochastic models of quasigeostrophic turbulence, Surveys in Geophysics, 25 (2004), pp.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics DelSole, Stochastic models of quasigeostrophic turbulence, Surveys in Geophysics, 25 (2004), pp

Reference 19

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Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

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Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

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Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

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Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

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Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

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This paper cites Goodfellow, J.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Goodfellow, J

Reference 25

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This paper cites On the approximation of Koopman spectra for measure preserving transformations.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics On the approximation of Koopman spectra for measure preserving transformations

Reference 26

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This paper cites Harlim and A.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Harlim and A

Reference 27

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This paper cites Hasselmann, Stochastic climate models part i.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Hasselmann, Stochastic climate models part i

Reference 28

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Observation afc4c4d4-61fd-469b-acce-1a8ea06eb1cc · outbound

This paper cites Kaiser, B.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Kaiser, B

Reference 29

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Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Kevrekidis, C

Reference 30

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Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Khodkar and P

Reference 31

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Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Auto-Encoding Variational Bayes

Reference 32

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This paper cites Kinsman , Wind waves: their generation and propagation on the ocean surface , Courier Corporation, 1984.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Kinsman , Wind waves: their generation and propagation on the ocean surface , Courier Corporation, 1984

Reference 33

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This paper cites On the numerical approximation of the Perron-Frobenius and Koopman operator.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics On the numerical approximation of the Perron-Frobenius and Koopman operator

Reference 34

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Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 35

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This paper cites Korda and I.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Korda and I

Reference 36

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Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Korda, M

Reference 37

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Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Kravtsov, D

Reference 38

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Observation 33b4d291-6396-4269-8800-5e3d360913ae · outbound

This paper cites Lasota and M.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Lasota and M

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.637157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.563387Z digest=sha256:56d8e0246041a237f791e4954dba0e839187afd051ac10277e7d86ee79d75fb4

Observation eb0b33ad-868d-4199-b566-dacd509c3b20 · outbound

This paper cites Leith , Climate response and fluctuation dissipation , Journal of the Atmospheric Sciences, 32 (1975), pp.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Leith , Climate response and fluctuation dissipation , Journal of the Atmospheric Sciences, 32 (1975), pp

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.622201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.568084Z digest=sha256:1ad03116a3005bc1494add60034ce811bdee8005cbf79d246b26d4c46bd758f9

Observation 1c6d5442-1cd8-4fbe-b8b2-725d7abcef6c · outbound

This paper cites Lessig, Divergence free polar wavelets for the analysis and representation of fluid flows, Journal of Mathematical Fluid Mechanics, 21 (2019), p.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Lessig, Divergence free polar wavelets for the analysis and representation of fluid flows, Journal of Mathematical Fluid Mechanics, 21 (2019), p

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.605808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.572886Z digest=sha256:5fe34195c6bafc5dbcb75afa81560defacf416ca43e028a8f0e0dd24a4a3ca4c

Observation 7f489e65-d215-4dbb-9e29-4e2593c80d8e · outbound

This paper cites an unresolved cited work.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:20:53.589070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.578326Z digest=sha256:94e066e3f02717377dfa64857041e5f319e895317557465bbcb04d5fcb07f7c1

Observation 881d26f6-b85c-4d21-84ef-a81491d317dc · outbound

This paper cites Lucarini, D.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Lucarini, D

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.574276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.584182Z digest=sha256:e1404ebb865b22e5567a908a64872375b46fd22510a5a40b70039c26b2be2b60

Observation 63ecca9b-15ca-4941-a116-3bc0067465fc · outbound

This paper cites an unresolved cited work.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:20:53.560744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.588969Z digest=sha256:e56bedbfd6df975ec1f2a3e8e36246ed1f3288c2077dff01d715ee64ab88dec9

Observation 6a720d86-482d-44b5-adaf-d26ba9ad4dd4 · outbound

This paper cites Lusch, J.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Lusch, J

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.548005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.593812Z digest=sha256:6adb2ad1fd95f78f1000fb7b0b362b8d6cc61b85adf401c1db42ca11671c1b8f

Observation 26542622-0599-4d98-a73b-5a4e0832d19e · outbound

This paper cites MacCluer, Elementary functional analysis , vol.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics MacCluer, Elementary functional analysis , vol

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.534958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.598072Z digest=sha256:f744cd143a80b330468588eff972c5840c7148c6cb7f810aec4af095dd7f0275

Observation 569b381f-cccf-43dd-aca0-bc9dac58a02d · outbound

This paper cites Majda, R.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Majda, R

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.521016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.603006Z digest=sha256:77381edcbe39dd092476e65163738425866e3495dfb89c60587d938a117d1c85

Observation 359f9e74-7922-4644-b570-20a00540ace4 · outbound

This paper cites Majda, I.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Majda, I

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.505678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.608278Z digest=sha256:4791d28c5b22bea8c733c299a4b131298738bbd9d010d51a133793ca82ca4207

Observation 0c7679db-f1a5-4441-9109-28cb7e73ebf4 · outbound

This paper cites an unresolved cited work.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:20:53.493102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.612961Z digest=sha256:6b69dc5e82629eef4378023c0384e770fb36e5372608eb2094412b3c182f5e6a

Observation 67d4af06-c28f-45e3-9c22-77caf4eddb8a · outbound

This paper cites an unresolved cited work.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:20:53.481769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.617374Z digest=sha256:071f0cc35c3bbe166f5f74c034f847c10ec4fc755891d154bd4358ecb42c3b44

Observation ac69574e-ad10-4b27-b593-7ac4c23485c7 · outbound

This paper cites an unresolved cited work.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:20:53.468933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.624022Z digest=sha256:1365b60ae069bce692f62b75d3280a97d2a2d109874bf9013c605e2ebd8abf3f

Observation 6c6e0c49-40f7-48c3-8adc-22ec8cb52381 · outbound

This paper cites Marzouk, T.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Marzouk, T

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.455897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.629640Z digest=sha256:7e3ca8fa72c90873dc5c99fba14ab4bc26ca263d2f975b3e4ab9fed9471d4b08

Observation f070c63f-0c94-42ce-b02d-0938d2c8eab8 · outbound

This paper cites Mezi´c, Spectral properties of dynamical systems, model reduction and decompositions, Nonlinear Dynamics, 41 (2005), pp.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Mezi´c, Spectral properties of dynamical systems, model reduction and decompositions, Nonlinear Dynamics, 41 (2005), pp

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.443292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.634675Z digest=sha256:a326e4e2614a679b5ef1b58adab70bed7079147eb9d095f90d1f5c9ac780e29a

Observation f4e0ff62-fea7-462f-a777-3e8c8d11b7cd · outbound

This paper cites Mezi´c, Analysis of fluid flows via spectral properties of the Koopman operator, Annual Review of Fluid Mechanics, 45 (2013), pp.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Mezi´c, Analysis of fluid flows via spectral properties of the Koopman operator, Annual Review of Fluid Mechanics, 45 (2013), pp

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.428660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.639537Z digest=sha256:2a1f884dac6edd9b686cdd341849b4fb2a8a77ec03caba38ea46119a5202982e

Observation 71a0066a-8a56-4413-8164-d0f2fa46bede · outbound

This paper cites Spectrum of the Koopman Operator, Spectral Expansions in Functional Spaces, and State Space Geometry.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Spectrum of the Koopman Operator, Spectral Expansions in Functional Spaces, and State Space Geometry

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-14T12:20:52.644296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:20:52.644296Z digest=sha256:f68b4fe01cc8f387ef77561da2c09762eed794ced5a591bdc4817e22971d9a4d

Observation 9cf8a148-71f4-4c06-a771-008b7051ba92 · outbound

This paper cites Koopman Operator, Geometry, and Learning.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Koopman Operator, Geometry, and Learning

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-14T12:20:52.649180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:20:52.649180Z digest=sha256:20ae5a2ae125c26f43fd903fb522a52e480acaf99febf9c640310de8b0cfd149

Observation 66c4dc12-7ed8-44af-b31c-9250bde9f763 · outbound

This paper cites an unresolved cited work.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:20:53.414923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.653496Z digest=sha256:aba3c61e930364dd92fd63d4eedd64d23ba6a2c431252854859802e45f14ac29

Observation ca49a6aa-8326-47aa-8c92-7294bca788a4 · outbound

This paper cites an unresolved cited work.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:20:53.401132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.657985Z digest=sha256:eabc8796ecb39c29ed765c0047343b7d370f78020f86b2c5dbe2eaa91703d1c3

Observation 8f618eaf-9787-41b1-9c5e-9f2a7c4a5457 · outbound

This paper cites Morrison, R.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Morrison, R

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.388955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.662454Z digest=sha256:e5d2ff03870fde5c2c2a1c15e5f17274f3aa1b4ef147dc25b7887ddb759550ae

Observation bfe447ef-04e7-4902-a582-c0fb05a73081 · outbound

This paper cites No´e and F.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics No´e and F

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.375574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.666277Z digest=sha256:1eb389b4b1f964905cb312823c3ee5fbdf802b8adac33dc93ec4c1b53d6fd030

Observation 7d73eb57-d72f-47a6-afb6-34318aad036f · outbound

This paper cites an unresolved cited work.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:20:53.361467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.670164Z digest=sha256:f933152964943059d0316c798cba9154d7bb9144befe1701036daebb09797f16

Observation 1393c8c4-96bc-4dc4-821e-70a9abe705bd · outbound

This paper cites an unresolved cited work.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:20:53.349284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.675104Z digest=sha256:258817c4f58a4cea3ae399595b404985ebdbdb5dae83f9144fbb0712154afaf9

Observation b540184a-4d19-44eb-adbc-e958c3b98af3 · outbound

This paper cites Pathak, B.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Pathak, B

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.337387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.679270Z digest=sha256:16a6811105df13b904782cf8d97722317a2b0ac7aa1a28cd210ec6c01ec0f859

Observation e7d3ff74-8add-4ddd-bf9b-d4c5fd5086e0 · outbound

This paper cites an unresolved cited work.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:20:53.324211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.683058Z digest=sha256:aa862cc89502eec9546fa556f549339c890ee407dd32a3f4a5beb063834d1186

Observation 0de32791-e5ca-4688-bb76-2eac7797d996 · outbound

This paper cites Peherstorfer and Y.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Peherstorfer and Y

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.310729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.686272Z digest=sha256:6a5903aebce78a5037a77562ef3c052a787b014bd556ed4c694f501dc0ad4cdd

Observation a6a13fe8-1088-4a40-b269-c8c2f486fc0f · outbound

This paper cites P´erez-Hern´andez, F.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics P´erez-Hern´andez, F

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.298156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.689524Z digest=sha256:e7c1a3b88eb70c8dba01c26eb890167ec6207e77f0ba015a0dfd703d3178ceca

Observation 443b6b34-d37b-45c1-a5d7-eb94d88c1171 · outbound

This paper cites Peyr´e, M.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Peyr´e, M

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.284220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.693056Z digest=sha256:3e5651b5254f4df4f5eb74b970e92e2c33e73265e3646658a601fccb819eb132

Observation 68f30793-fec7-4f6f-bc87-034776ee36f2 · outbound

This paper cites an unresolved cited work.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:20:53.271142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.696589Z digest=sha256:9ca83da9ba740f9fd22cdb2165e673c78fab81760f67569537c8bd129521ec4a

Observation 56647d05-326c-466a-954d-33131d99aa2b · outbound

This paper cites Raissi, P.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Raissi, P

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.258341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.700096Z digest=sha256:98b0ea2f7b68478afc366ddd71540317046b035f7d9279c61d9e0233289d2b50

Observation eeee2fef-4ced-42ab-a42d-c8bed3690df6 · outbound

This paper cites Rico-Martinez, I.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Rico-Martinez, I

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.246269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.704186Z digest=sha256:dd51ede336a86fcceb74a8cd5b8ca0d9a6d80d99d25db357b8ce23deb9c09f34

Observation 067acb9c-00fa-4e42-b4f6-5f1da5a809c5 · outbound

This paper cites Rico-Martinez, K.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Rico-Martinez, K

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.232090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.708490Z digest=sha256:73c018aa64ba508c2fafc0e1909b5996ca94eb2c64a72d53b1ac825d870b0fdd

Observation d54a5862-959d-4418-b968-05194c1f1835 · outbound

This paper cites Rigas, A.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Rigas, A

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.217499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.712480Z digest=sha256:8105bc1547526de99c7725572bd7bfe71b76dfc9b11c70d46fdbfbbe57147d4e

Observation f5d5ad57-d8a7-46b8-a405-c24fa917e7b1 · outbound

This paper cites Rowley, I.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Rowley, I

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:20:53.204793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.716335Z digest=sha256:e25976a9beca84b0d2756da08b051cdd0eb758d70a2fa73b65651e938cd4599d

Observation 35521d28-aa45-417f-878a-588310270891 · outbound

This paper cites an unresolved cited work.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:20:53.191811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.720184Z digest=sha256:ea362e258de083648609e6e8f83cf72c6ccd2f48636c46e27ac52b80b867572e

Observation d1aaf005-9b23-4801-a5e5-3d1ed4599381 · outbound

This paper cites an unresolved cited work.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:20:53.179046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T12:20:52.724419Z digest=sha256:a9248561196555511f6c9cff98defabb99ae31b4568fc8a21975a5f58bb620dc

Observation 3c9d27d7-7b95-4b91-9062-4be4eaac088f · outbound

This paper cites an unresolved cited work.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:20:53.165274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1fda7db1-6367-4747-812b-64e00b8945a4 · outbound

This paper cites Singer and R.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Singer and R

Reference 77

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4a3cdd99-2b6b-4e73-b27e-2acb79a11d95 · outbound

This paper cites Sobczyk, Stochastic differential equations: with applications to physics and engi- neering, vol.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Sobczyk, Stochastic differential equations: with applications to physics and engi- neering, vol

Reference 78

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 88b8d700-0b39-401b-a1c7-5d5ad986b6c7 · outbound

This paper cites Spantini, D.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Spantini, D

Reference 79

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7036e4fe-6c25-47dc-b476-ff2d97518802 · outbound

This paper cites an unresolved cited work.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 80

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 73337df2-04be-492e-95b6-b88b73e5b751 · outbound

This paper cites Takeishi, Y.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Takeishi, Y

Reference 81

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5772be77-f320-46a4-8ad2-c89d08ec8b25 · outbound

This paper cites Towne, O.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Towne, O

Reference 82

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7ad75486-3a59-4135-aa63-227216e7a4dd · outbound

This paper cites Villani , Optimal transport: old and new , vol.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Villani , Optimal transport: old and new , vol

Reference 83

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ff24f452-9149-49ec-9268-37179af467d4 · outbound

This paper cites an unresolved cited work.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 84

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1d38b8ed-2d5e-4cc5-a4c0-77503c8dff64 · outbound

This paper cites an unresolved cited work.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 85

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3379f33e-70be-4bb1-a52f-1eb334e7ab2b · outbound

This paper cites Wang, J.-L.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Wang, J.-L

Reference 86

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e738eb10-acb5-4483-8917-1fc95698946c · outbound

This paper cites an unresolved cited work.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 87

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 63eda723-fc8a-4539-a16d-a1819cbcef33 · outbound

This paper cites Wiggins , Introduction to applied nonlinear dynamical systems and chaos , vol.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Wiggins , Introduction to applied nonlinear dynamical systems and chaos , vol

Reference 88

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation dc0f8c0d-7512-4645-b98b-0708885290ac · outbound

This paper cites an unresolved cited work.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 89

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:20:52.998424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2f24dc2d-ac08-4546-b6b1-a84d4e891c33 · outbound

This paper cites Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems

Reference 90

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 590e35ef-7915-4cec-b90d-42a192cd16b5 · outbound

This paper cites an unresolved cited work.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Unresolved cited work

Reference 91

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2b78c413-72a7-4cbb-9192-78df6d2e7505 · outbound

This paper cites Sparse approximation of triangular transports. Part I: the finite dimensional case.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Sparse approximation of triangular transports. Part I: the finite dimensional case

Reference 92

Resolution
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Source-reported events for the cited work

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Observation a57dcbaf-acb0-449e-b789-67e76958eb94 · outbound

This paper cites Zhao and D.

Generative stochastic modeling of strongly nonlinear flows with non-Gaussian statistics Zhao and D

Reference 93

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Pith citing papers

No inbound Pith citation observations are available.