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Paper Citation Record · LEDGER

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods

As of 9 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2508.19448.

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

pith.paper-citation-record.v1
2508.19448 v2

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Reference resolution

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External citation measurements

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Outbound references

Observation 96f1ecbd-7892-4796-980b-56d89991e84d · outbound

This paper cites Perez, and Michael Tippett.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Perez, and Michael Tippett

Reference 1

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This paper cites Alexander, Ludmila Matrosova, C´ ecile Penland, James D.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Alexander, Ludmila Matrosova, C´ ecile Penland, James D

Reference 2

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This paper cites Anchukaitis and co-authors.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Anchukaitis and co-authors

Reference 3

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This paper cites Potential in stochastic differential equations: novel construction.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Potential in stochastic differential equations: novel construction

Reference 4

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This paper cites Understanding causation via corre- lations and linear response theory.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Understanding causation via corre- lations and linear response theory

Reference 5

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This paper cites Extracting causation from millennial-scale climate fluctuations in the last 800 kyr.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Extracting causation from millennial-scale climate fluctuations in the last 800 kyr

Reference 6

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This paper cites Kolmogorov modes and linear re- sponse of jump-diffusion models: Applications to stochastic excitation of the enso recharge oscillator.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Kolmogorov modes and linear re- sponse of jump-diffusion models: Applications to stochastic excitation of the enso recharge oscillator

Reference 7

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Observation a8792e6a-d9e5-43e5-85c7-23944abbb404 · outbound

This paper cites Climate sensitivity via a nonparametric fluctuation–dissipation theorem.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Climate sensitivity via a nonparametric fluctuation–dissipation theorem

Reference 8

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This paper cites Cox, Chris Huntingford, and Mark S.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Cox, Chris Huntingford, and Mark S

Reference 9

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This paper cites The heterogeneous multiscale method: A review.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods The heterogeneous multiscale method: A review

Reference 10

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This paper cites Falasca, A.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Falasca, A

Reference 11

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This paper cites Neural models of multiscale systems: conceptual limitations, stochastic parametrizations, and a climate application.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Neural models of multiscale systems: conceptual limitations, stochastic parametrizations, and a climate application

Reference 12

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Data-driven dimensionality reduction and causal inference for spatiotemporal climate fields

Reference 13

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods The planet simulator: towards a user friendly model

Reference 14

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Observation bf79bb0e-e0d3-4120-9b3c-abe58fa5d295 · outbound

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Modes of variability and trends in atmospheric constituents

Reference 15

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods The evolving butterfly: Statis- tics in a changing attractor

Reference 16

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Unresolved cited work

Reference 17

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods The physics of climate variability and climate change

Reference 18

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Giorgini

Reference 19

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Giorgini, Andre N

Reference 20

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Giorgini, T

Reference 21

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This paper cites Predicting Forced Responses of Probability Distributions via the Fluctuation-Dissipation Theorem and Generative Modeling.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Predicting Forced Responses of Probability Distributions via the Fluctuation-Dissipation Theorem and Generative Modeling

Reference 22

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Learning dissipation and instability fields from chaotic dynamics

Reference 23

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Non-gaussian stochastic dynamical model for the el ni˜ no southern oscillation.Physical Review Research, 4(2):L022065, 2022

Reference 24

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Response theory via generative score modeling

Reference 25

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Subseasonal prediction with an icosahedral atmospheric model

Reference 26

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Gritsun and G

Reference 27

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods On some aspects of the response to stochas- tic and deterministic forcings

Reference 28

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Hasselmann

Reference 29

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Holden, Neil R

Reference 30

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This paper cites Estimation of non-normalized statistical models by score matching.Jour- nal of Machine Learning Research , 6:695–709, 2005.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Estimation of non-normalized statistical models by score matching.Jour- nal of Machine Learning Research , 6:695–709, 2005

Reference 31

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Some extensions of score matching

Reference 32

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Unresolved cited work

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Bivariate decomposition of irreversible diffusion processes

Reference 34

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Unresolved cited work

Reference 35

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Observation 8add0581-3dd0-40d3-b5f2-e71c6f05152e · outbound

This paper cites The challenge of non-markovian energy balance models in climate.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods The challenge of non-markovian energy balance models in climate

Reference 36

Resolution
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Observation fe89e1fb-1733-4412-993e-5c3f9d77d5f8 · outbound

This paper cites Lucarini and M.D.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Lucarini and M.D

Reference 37

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Unavailable: canonical work link unavailable.

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Observation a586ee19-d2ce-46fa-9db9-5e0b5f13ee04 · outbound

This paper cites Interpretable and Equation-Free Response Theory for Complex Systems.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Interpretable and Equation-Free Response Theory for Complex Systems

Reference 38

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 336bee2a-8d5c-4f72-a587-d65100cb42cd · outbound

This paper cites Storm-track organization and variability in a simplified atmospheric global circulation model.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Storm-track organization and variability in a simplified atmospheric global circulation model

Reference 39

Resolution
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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Unresolved cited work

Reference 40

Resolution
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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Unresolved cited work

Reference 41

Resolution
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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Unresolved cited work

Reference 42

Resolution
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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods An applied mathematics perspective on stochastic modelling for climate

Reference 43

Resolution
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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Moon and J

Reference 44

Resolution
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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 3bdd61f3-5b77-43f4-a98c-c7a09e4386b4 · outbound

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Compo, and Michael A

Reference 45

Resolution
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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b8202b4c-87c1-4910-a3c0-04d92e1d53db · outbound

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Unresolved cited work

Reference 46

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 41af0cf3-14e8-4019-a41d-caa99ce697b3 · outbound

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Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Sardeshmukh

Reference 47

Resolution
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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0ee778e0-dd91-4117-89ef-1955ff012515 · outbound

This paper cites The role of the annual cycle in tropi- cal cyclone seasonal forecasting.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods The role of the annual cycle in tropi- cal cyclone seasonal forecasting

Reference 48

Resolution
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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 517007cd-9c28-40f9-a57c-234acf6dcf1e · outbound

This paper cites Schneider, S.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Schneider, S

Reference 49

Resolution
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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5c23f42a-a4d6-4847-998d-d3f88953b99c · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Generative modeling by estimating gradients of the data distribution

Reference 50

Resolution
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Unavailable: canonical work link unavailable.

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Observation e59d7a4d-9052-4dcd-9238-7a531965707c · outbound

This paper cites What's the score? Automated Denoising Score Matching for Nonlinear Diffusions.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods What's the score? Automated Denoising Score Matching for Nonlinear Diffusions

Reference 51

Resolution
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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e4f6d497-3e08-4237-9717-d142c6ebd77a · outbound

This paper cites an unresolved cited work.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Unresolved cited work

Reference 52

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f52ace1d-c3ea-442f-bf24-66e614df3003 · outbound

This paper cites Statistical non-locality of dynamically coherent structures.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Statistical non-locality of dynamically coherent structures

Reference 53

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6a379e49-000f-4cac-bd5b-b725c0a97c51 · outbound

This paper cites A sta- tistical emulator design for averaged climate fields.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods A sta- tistical emulator design for averaged climate fields

Reference 54

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a78b7679-3a56-4ca8-b054-6df6c4c51d48 · outbound

This paper cites Modeling climate diversity, tidal dynamics and the fate of volatiles on trappist-1 planets.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods Modeling climate diversity, tidal dynamics and the fate of volatiles on trappist-1 planets

Reference 55

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2beb10ec-e0b6-4d25-a50d-559df7b5816c · outbound

This paper cites A connection between score matching and denoising autoencoders.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods A connection between score matching and denoising autoencoders

Reference 56

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0d74013f-11cd-4df2-b6bb-5e14c71fc571 · outbound

This paper cites A proof of concept for scale-adaptive parametriza- tions: The case of the Lorenz’96 model.

Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods A proof of concept for scale-adaptive parametriza- tions: The case of the Lorenz’96 model

Reference 57

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Pith citing papers

No inbound Pith citation observations are available.