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Paper Citation Record · LEDGER

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

As of 16 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.

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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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Observation 940eb745-b234-4238-bc28-eb79d7abd9e4 · outbound

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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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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Observation d8e872dd-651c-41c6-8785-8dc63e48cdca · outbound

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

Reference 21

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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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Observation 13a76b04-7e35-4663-b326-5916f192a0e2 · outbound

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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Observation e36f4ad0-e6ab-41dd-9764-7dcaab3287df · outbound

This paper cites Khodkar and P.

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

Reference 31

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This paper cites Auto-Encoding Variational Bayes.

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.563387Z digest=sha256:122123b02cfacb65efbb292d3fe98e129493283862abb38bfc0c21fe59fa9e86

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.568084Z digest=sha256:1e226a3cefc3f0c29f8376a3e4902ad22c2656053f0677eddcc86824833068d3

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.572886Z digest=sha256:79378726758d3abb890ea4189d26ed864c2b306bd7622e9ff2328f110e923e7a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.578326Z digest=sha256:eff04db681edb639565a8720351552aa5a07fc7159d86e6bf89b466f01c530c8

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.584182Z digest=sha256:3b8e2f9bf2004bbe2c002f9e77c7742c26daeadf3e8e7fb4652f5f7d89956f60

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.588969Z digest=sha256:a14b2e1b0d40814bd0d9086a6ef6366081d497ba7bbd0544b7c62a7be239d4bf

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.593812Z digest=sha256:5ff54d71cabb93fac6c874e39603f8af363cd53d87a09ae5a04a4f77a899da40

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.598072Z digest=sha256:41b14b00a769a30577909322db22c0b4eae7b16b20705d6167f1ff62f62ff3a5

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.603006Z digest=sha256:7297649b86012620046d97b21b47f676b08df45121ead50afa4f4412b708f063

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.608278Z digest=sha256:e7ee085a0aab7a68f2aa31393cbd107c54b2dd28df835b9b065ea699587f1053

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.612961Z digest=sha256:096d0d01ec4f674b6dfc1cb92c89c29ff94df820e8637c623cf0b502246f41c7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.617374Z digest=sha256:53b940f432c53043043864055910f80d259cc77aa98eb25479805a5915bf54c6

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.624022Z digest=sha256:50683ffd7d0e8ccb625dc42c9743b405aa1efcdbacebd85ed60c11aa758329bf

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.629640Z digest=sha256:5d137b428b42c23344a30289cfee3f24d77bd7e51a6303191d77054440d2fdeb

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.634675Z digest=sha256:b899421d4b4d1706b06bfa69e0b5268492b49032da78e4d4477a26f6834539f5

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.639537Z digest=sha256:193d6559fb818dc44332409fdb96972053d3038983b3463175925a11633f1290

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=sha256:46db65861f50210a76a765db14065c934f3dcef2a2254f5d84266b1ca91b8de9

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=sha256:843c4b1a121fc6dd7801c0b22ba1e406967f6ce22b7093ef1eed3cb30257d5f4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.653496Z digest=sha256:6ac85eea04755255338b5ba84d7a27241b42ab1c83599425fcd6fe1693465be4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.657985Z digest=sha256:d98d0a4a8eea77132c7a73af14507a1ba3d9542b14ff9853449589a92260d21b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.662454Z digest=sha256:0c01286cf66ff5e5f516f16357256199e2f79e1dd38bfe6c95823c778d36cc45

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.666277Z digest=sha256:d3fee6d23c9f5a315d6f1e6644dc534b9a7f01ae09ad1ebcbb67485a86932a82

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.670164Z digest=sha256:8463b75ca450e60f37c40bd12580bcf3a7c6886f67ef12ac34770a25e6950317

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.675104Z digest=sha256:d8ac97934b34ca7e8c4de1f391a7eb62096cc62614857874078bc34d70bcf23f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.679270Z digest=sha256:d0bbb21a601d0ad8154a59df7c1ff3278b62342524478f4e4311a021a0feb3e9

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.683058Z digest=sha256:18f37785d5e392f01dc1171ad935dfb882442cf8b6636ad80f49969eed58d1be

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.686272Z digest=sha256:f02aa6c20cfd80138fa2ab01345656e783373fd29bc28dc73674717d44d5eabd

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.689524Z digest=sha256:e84fdc7daa56def8cbe843384d5af4bf1f0bbe5a0eb16cde8fdef3c6d34a7bc2

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.693056Z digest=sha256:30c2a9bc64828f7129a9d44b8265ca2382a5c6413a5cdd3a1b738109fc942122

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.696589Z digest=sha256:05580f5a3128d3c005563ef8d2d0babbce92cddeed4cdc61bd793ea2871d3c60

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.700096Z digest=sha256:4abc0ce309bfc49e1d6fb714f671d18704afa1f8a3fb0e86c8455ccb833a3709

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.704186Z digest=sha256:d3db68d7884ec7f1ea7789d4c96d691925689e09239e0e3f7f1512f429360d7c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.708490Z digest=sha256:5c1a4b845b31ceec1a93f1cdae3accef8e4184d691c4be884e67858e370a9578

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.712480Z digest=sha256:ae50d7243ba86e115f2f8a62fd69ec25f88775cc1afd8fbc9a93c771bffbd10f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.716335Z digest=sha256:15943197a572835a16dd789234a96cce5e20ee60c6e5bfd548cbc5180416417a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.720184Z digest=sha256:f98e6a04e8bed0fc5ef6a9c5035fff49efa071618cafc1c30851f6f2a7856c3c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.724419Z digest=sha256:cdb0dc9555192e7efe5239e0186e853152c519504bdd055211b80ae5b3ec711d

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 2026-08-16T06:30:59.297886+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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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
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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
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:20:52.796906Z digest=sha256:8bb8253b4c70c9d6cdd200102c201e0781b139f30eebc4a6159a21c5748a4b89

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 2026-08-16T06:30:59.297886+00:00.

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Pith citing papers

No inbound Pith citation observations are available.