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Paper Citation Record · LEDGER

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

As of 19 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.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:20:52.801672Z

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.

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

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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Observation 8a2f3dbe-ce13-4f11-86f2-0eec000f07a4 · outbound

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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Observation ca00144d-adcb-4c7b-ae47-d0a40aa58633 · outbound

This paper cites Dellnitz and O.

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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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

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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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Observation 02dd6623-2c34-4df0-bd23-e1e13e71b7be · outbound

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

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

Reference 39

Resolution
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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.563387Z digest=sha256:1dda78a95e18458d619c5b4842a7b1f312d916028ec41a78e9ce923747c2e736

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.568084Z digest=sha256:3814596ce02d650f204c312491c9d623b3a46e122782627a4528e72d160e8e52

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.572886Z digest=sha256:e7eec8e86c5e4709dfae2d7b0f5d716509e78217361bb95669edde5b97b9899f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.578326Z digest=sha256:31c88bb91029be1f4e63dd89be60fe5062c7ee0e1a5dccf00a7ca013b317476e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.584182Z digest=sha256:72e1fada6669b2eba8bf6ee94968d61969f490b2726e3ddde8e5fc31ed9543c2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.588969Z digest=sha256:68e7f8e105ea39b9eac19e2a83f2e61cf21c8e4dbffd093b2f21ab3d22e63bd5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.593812Z digest=sha256:2d14c6a51d221017297af1c2fa2a2018ad2923e31e36a21187f1c898f4d89806

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.598072Z digest=sha256:3201a42645045494da9b264f9f8ea350ae24d7c9b8b3645935deb9ac6f28fdcc

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.603006Z digest=sha256:a314f11fd2166a56d57e727297a0320980a1ef201eb98079194a80cf747f9a1f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.608278Z digest=sha256:9b91a3a0c061b146a3ce6c51f2e23d0f6526625538e39ea1071286c4b438daa6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.612961Z digest=sha256:f8622ad3a38e9fac1de213396e859f29e84e7cf50889a64b43ab2d45c8da3893

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.617374Z digest=sha256:78635b3549f9b23cbbfae938cd13169e92b78861b948b1e73019e94c82c155e6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.624022Z digest=sha256:6beea0c9c38355f24c3da78f168393ff09623f64c23215bf21501f3f47497228

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.629640Z digest=sha256:a766b8a7791aa1fd0c6b8bfc51c9e73757a299fa1a778579986c2181586aacb5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.634675Z digest=sha256:e8e70456ddca5bbc4020d2ccbf47ffb11f8b260eb020f5a49ddff52f41bb725a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.639537Z digest=sha256:3baa7fb7977399db689949f148e7cf3f9546d83b90acac0aa86e025a56704820

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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.657985Z digest=sha256:41d9cc0d13b982fd2c303f02a6582c5299d06ac384d1ca00d5be9e2a70cda289

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.662454Z digest=sha256:7abd209fa6d31e7749a527ef2af5fba126969d9ea641afe2dec2b8258ce4a008

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.666277Z digest=sha256:83b23df38c9dae8c68419aee1c9d312583fcde271916e229879d4359ad21107f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.670164Z digest=sha256:8bc72729afd3932c290c2a57b204668261c23dc70c2e447655739e7a08d998dd

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.675104Z digest=sha256:a4407ec496b20c8ac2d42293131b1bcb66305f57c1e716c38072eef3d8f21fa0

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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.683058Z digest=sha256:b3e79fbe82de5bda73321ec23521d608affdbef0cd60de94fd846134ebf82c1a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.686272Z digest=sha256:a872ef0de4c3c34ec07bc18cd372508a5ea7b10184b49ddef7b5063653a5e326

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.689524Z digest=sha256:25d7184db65d3cdb346df86fdebdc89ce044d8714191d66b52864e428ceba540

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.693056Z digest=sha256:092ea40720a6eecd939674e8df38bc09357a9a846255cad73fc6534da64a14ac

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.696589Z digest=sha256:1c4cc9f7aa2114acd409f70f8d8200898ab36726a6136ff2ed08b78b47e372a2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.700096Z digest=sha256:982d6e200a3c35e6da962047625179d07f34d8e24539c87aa72159bf4652bac0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.704186Z digest=sha256:48ff25c7c8e23793747938fb3bfb6ec8ec5cec020a05fbab209b4b9d8fcbc514

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.708490Z digest=sha256:714a9d74c0e41530d5ea0c955e83bcee74ab28fedf9afdf39f904be343a01c2e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.712480Z digest=sha256:4d4580cf35bc5af914c69baee8605bfe9ac558f7078c54b0d5446a1184e64800

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.716335Z digest=sha256:d6525a42ca3022aa019e9debb09e6c3474f82c5522c27e27d75156ce175e387b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.720184Z digest=sha256:d4a0ed40998baa9b8973e5c34667e83c48940ba5defa72348c28334e4372949e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.724419Z digest=sha256:07e515f87e0d087d3536ba8e089bf7f5afb4b3c1d5a132f8220593407690ae6d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.728249Z digest=sha256:2f942d0e229881147f3237e86ea513d400ed59c5ec7959d1db1a8e7d95e86e21

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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
raw_fallback, observed 2026-08-14T12:20:53.051122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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
unresolved
raw_fallback, observed 2026-08-14T12:20:53.023954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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
raw_fallback, observed 2026-08-14T12:20:53.011728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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
unresolved
no resolver link, observed 2026-08-14T12:20:52.788340Z

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
raw_fallback, observed 2026-08-14T12:20:52.984857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T12:20:52.796906Z digest=sha256:505e78abda53c44dc6fa1d12775d75cf7426f6218922dacd56c9afd1196604d8

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
raw_fallback, observed 2026-08-14T12:20:52.972295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Pith citing papers

No inbound Pith citation observations are available.