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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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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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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

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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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.563387Z digest=sha256:08c24f1f47cc3b9593066507fbacafbeb25ea8907aef3b26dd0d09ddbf8f7ea7

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.568084Z digest=sha256:f2a814a826ae3312b97a720c7166a982377c21b20204faf5d71190dbe4095e7e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.572886Z digest=sha256:a48b4501464cf97398e4b7d272544b0324a307a65be2a6e647f4d8aae121da4a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.578326Z digest=sha256:98d85222d0ca92118b39e4e35db2516dc4ae6c467c737fd4e61c9cf9532610aa

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.584182Z digest=sha256:787e8d4e97b14e5d0e493d3347149e8fe40900541c40123151004149cfc61e3d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.588969Z digest=sha256:57fba5ba04e9ddd8a1ebf184729384de3b7ea931bcec51658253b15dfacf37d7

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.593812Z digest=sha256:da394b0735c60696cf0814fc5d1bb6c6526baa4b1a56981b217c8610f8a092a1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.598072Z digest=sha256:8f283b6c9d1a1820901ea99d1113721e6a7d0eca5f452075c36a9d1b9df8dd69

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.603006Z digest=sha256:b1c7a1a39ebedb7c0effee2fbfaa5816cdd30b03d1f85710116628b0a5debbf0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.608278Z digest=sha256:ecc497435aad9d0a3df75ada2334a40af80bf465f1b35e2f5cbfc5913b40a601

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.612961Z digest=sha256:ccfe693668559bab0f890e40be66918945ce67b7d020cfedf5c6963476cccca3

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.617374Z digest=sha256:4da2c9d4d128c4c4c0b0c674aaa752c32008e7647f7cdb277d84f7defab4629e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.624022Z digest=sha256:415ccd1d5140d47d88f70b6cd0a80564c7e43c795900e3b1314939acf9b60fa5

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.629640Z digest=sha256:95859d4b1e7db3e42e128e92ed4f70b73c6567084f6861a5b23c06799ce2e307

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.634675Z digest=sha256:f2be0d6ef991244493f8ddcf2f8dde2f1ed5c733a0f95cee3798dd028d1efbef

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.639537Z digest=sha256:eb1dddd6be6f8d0c5f194418df5c6811d7f3b552d0e0cf06a3faf87585caa72b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.653496Z digest=sha256:712f26907b3f49f2973e9f26475db69f406c38bd8f1a223b798928bf6478c233

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.657985Z digest=sha256:021e51a320a42c18611a294cf1e5e0fd438de6aa68604d160e2a2822c249c155

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.662454Z digest=sha256:ca241ce9c83a1cb9c14f9f9747a8c4d020592bf6d7097f1cee273471f9e6667f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.666277Z digest=sha256:9c36e7b8fdad656a771c2e72c6dd6326c5e344232d5fc1cfcf4ab9190d3ce22e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.670164Z digest=sha256:5876f251af6014de75a1cb342ca693327749465d892244b60ddd12dbd49d1a1e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.675104Z digest=sha256:d5f63261f2d932dbda25cfbf3c04e1a7f1e67a161f8a673e572e35881e14efc1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.679270Z digest=sha256:8732c93852009b27072a297d830fd47cdd5911db29718d934d467ef49d124898

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.683058Z digest=sha256:808fd2146a69f8ec46d0f1790bc501538159e40eef2eb81923f2d45585929a1c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.686272Z digest=sha256:a90bcb90814864a5fa8e62dcfebbe4e59dee48c7608a6c0433210d5ab5bd39a1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.689524Z digest=sha256:9a7599137a61ed46067eb1ea5a790d148262ba4597a856305898ccae4b840356

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.693056Z digest=sha256:d955f284902bcd755f7930d36bb7eb72ddcce1b778a511bbc1d1acf8dfba710c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.696589Z digest=sha256:a23b2b1e52fccb7898ddf0bcb3ec68097cd88eb7422acd49d1a457693480a37c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.700096Z digest=sha256:692b1ac456beeaad5b71b9b69e0d9ed33dbd6f02fab6fbe61a350cf7d0a9c7ed

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.704186Z digest=sha256:a4b194dd4c5665e22a48991e9876a075883b111d0a372ec3c46cda566ec36f15

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.708490Z digest=sha256:ffd7232f607447cadc78d9e7ac94cdd9f3ec4ff24d5ae0ac8cef29c6a6ac3488

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.712480Z digest=sha256:87a9627bb93d7ccf8c51dc2f9f6a95a4669b34872d52ca23a0520d779cc425ba

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.716335Z digest=sha256:3a3615198eaada92beb402a03d4f2b0f46327859456bb0e5b341741223ecf49b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.720184Z digest=sha256:0b1ee98495b1cf5d91de818db502cadeff72729d7327a978f72c0fea8e212eb3

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.724419Z digest=sha256:e71c569be72dd8d521305de78a66420eded225b3904f7d33f82e79b1ece70fa9

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:20:52.728249Z digest=sha256:28c6cd1c4643197608ca8e3de9063b7a4f430c4e173bf69dd3bb3fab583eee75

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

source=pdf_text observed=2026-08-14T12:20:52.796906Z digest=sha256:b300c150a8821fe0538a0f924817b2dbd41f6bfc1562f9860f9615ebec7c8ffb

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 2026-08-19T06:32:44.657259+00:00.

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Pith citing papers

No inbound Pith citation observations are available.