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Paper Citation Record · LEDGER

Modelisation of chaotic systems with a latent Stochastic Differential Equation

As of 18 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2608.03438.

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pith.paper-citation-record.v1
2608.03438 v1

Coverage vector

measured 33 of 33 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-15T14:53:50.950673Z

measured 33 of 33 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

33 of 33 outbound references displayed

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  • verified fuzzy5
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External citation measurements

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Outbound references

Observation b6d0e5ce-9770-412f-abd0-40af50fc3251 · outbound

This paper cites Hijazi, G.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Hijazi, G

Reference 1

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Observation 2a205434-b352-41c9-9f98-69f3fd1473a9 · outbound

This paper cites Menier, M.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Menier, M

Reference 2

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Observation a19a49ac-b320-4d71-87a8-51c08f899820 · outbound

This paper cites Colanera, L.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Colanera, L

Reference 3

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This paper cites an unresolved cited work.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Unresolved cited work

Reference 4

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Modelisation of chaotic systems with a latent Stochastic Differential Equation Unresolved cited work

Reference 5

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Observation 305ce680-1f7e-46fd-9d52-25648bc78a55 · outbound

This paper cites Gupta, P.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Gupta, P

Reference 6

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Observation 6ee2eebc-3a43-46d0-9ca7-987dc83d12dc · outbound

This paper cites Zighed, N.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Zighed, N

Reference 7

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Observation af70e3a2-5e82-476f-a18a-4ed5e18e4715 · outbound

This paper cites Özalp, A.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Özalp, A

Reference 8

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Observation eedd5ed4-d3dd-4dce-9434-e5c7c0315b00 · outbound

This paper cites A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks.

Modelisation of chaotic systems with a latent Stochastic Differential Equation A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks

Reference 9

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Observation d28e8065-556d-410f-b6eb-6d2d111c4470 · outbound

This paper cites Solera-Rico, C.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Solera-Rico, C

Reference 10

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Modelisation of chaotic systems with a latent Stochastic Differential Equation Unresolved cited work

Reference 11

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Observation 2850055a-7cca-43a3-8356-31650b9c7ee9 · outbound

This paper cites Haller, S.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Haller, S

Reference 12

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Observation 23995a86-98aa-4929-a5d5-5f44c2c3a246 · outbound

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Modelisation of chaotic systems with a latent Stochastic Differential Equation Unresolved cited work

Reference 13

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Observation 9ec52e01-a086-439e-a04f-1634725b1718 · outbound

This paper cites Mori, Transport, collective motion, and brownian motion*), Progress of Theoretical Physics 4 (3) (1965) 423–455.doi:10.1143/PTP.33.423.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Mori, Transport, collective motion, and brownian motion*), Progress of Theoretical Physics 4 (3) (1965) 423–455.doi:10.1143/PTP.33.423

Reference 14

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Observation e19e5da4-ffff-439b-ade8-1b1a53da3f0d · outbound

This paper cites Zwanzig, Nonlinear generalized langevin equations, Journal of Statistical Physics 9 (3) (1973) 215– 220.doi:10.1007/BF01008729.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Zwanzig, Nonlinear generalized langevin equations, Journal of Statistical Physics 9 (3) (1973) 215– 220.doi:10.1007/BF01008729

Reference 15

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Observation d5924b65-69df-4b5f-bd9f-67d7ec6ce89d · outbound

This paper cites Burrage, P.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Burrage, P

Reference 16

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Observation 386f93d6-8023-4e25-a9f3-b8d1f93db62d · outbound

This paper cites URLhttps://openreview.net/forum?id=hwy0BvBIQQ.

Modelisation of chaotic systems with a latent Stochastic Differential Equation URLhttps://openreview.net/forum?id=hwy0BvBIQQ

Reference 17

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Modelisation of chaotic systems with a latent Stochastic Differential Equation Unresolved cited work

Reference 18

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Modelisation of chaotic systems with a latent Stochastic Differential Equation Unresolved cited work

Reference 19

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Observation c3e6568f-b272-4875-8274-81401fd3b52a · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Score-Based Generative Modeling through Stochastic Differential Equations

Reference 20

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Observation 8fcc3c0c-adaf-4809-8cc1-57af291e5968 · outbound

This paper cites Ha, Y.-J.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Ha, Y.-J

Reference 21

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Observation 6e2d46bd-2194-4a99-98c8-240ef9119e57 · outbound

This paper cites Course, P.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Course, P

Reference 22

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Observation af5d8cab-1f11-4f2c-9bbe-8c94e5df6411 · outbound

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Modelisation of chaotic systems with a latent Stochastic Differential Equation Unresolved cited work

Reference 23

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Observation 1c87a593-1458-4aca-9665-1cbf8aceabbe · outbound

This paper cites SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations.

Modelisation of chaotic systems with a latent Stochastic Differential Equation SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations

Reference 24

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Observation a7996343-495c-4c80-aecf-cbc24aa9194e · outbound

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Modelisation of chaotic systems with a latent Stochastic Differential Equation Flow Matching for Generative Modeling

Reference 25

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Observation 025d4b4c-5d42-4966-b429-6788f3f86b66 · outbound

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Modelisation of chaotic systems with a latent Stochastic Differential Equation Unresolved cited work

Reference 26

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Observation a8acda0c-ee7e-4f80-b9d4-f3dc7f0c3f8c · outbound

This paper cites Neural SDEs as a Unified Approach to Continuous-Domain Sequence Modeling.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Neural SDEs as a Unified Approach to Continuous-Domain Sequence Modeling

Reference 27

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Observation 587b0680-a4b8-4d06-b850-a302a356a6ca · outbound

This paper cites Vaswani, N.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Vaswani, N

Reference 28

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

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Observation 9aaa2364-23e9-49cf-9b02-feb93dadd555 · outbound

This paper cites Zighed, N.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Zighed, N

Reference 29

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Observation 647fd241-0a36-46b6-a076-5a49923abdad · outbound

This paper cites Platt, L.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Platt, L

Reference 30

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Observation 7a7ad7e0-8866-4ce7-bebd-a090b0e8fc35 · outbound

This paper cites Canuto, A.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Canuto, A

Reference 31

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Observation 42d722ec-c9d6-403a-91de-b409bca81c9a · outbound

This paper cites Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos

Reference 32

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Observation c7c27d9d-0006-4570-ad10-a2c98bbcd94b · outbound

This paper cites Z T 0 ∥u(zt,t)∥ 2 2dt # .(46) This penalty can be expressed purely in terms of the system’s drift and diffusion functions with equation 40: DKL(QSDE∥P SDE) = 1 2 EQξ.

Modelisation of chaotic systems with a latent Stochastic Differential Equation Z T 0 ∥u(zt,t)∥ 2 2dt # .(46) This penalty can be expressed purely in terms of the system’s drift and diffusion functions with equation 40: DKL(QSDE∥P SDE) = 1 2 EQξ

Reference 33

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

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