PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models | Paper Citation Record

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This paper cites Amezcua, K.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Amezcua, K

Reference 1

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Observation 6727360d-d00b-43f0-8cc0-c35a66329179 · outbound

This paper cites Balwada, R.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Balwada, R

Reference 2

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This paper cites an unresolved cited work.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Unresolved cited work

Reference 3

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PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Unresolved cited work

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Observation 0fcd2b82-c2eb-4d25-b08e-e391abd452b5 · outbound

This paper cites Neural Incremental Data Assimilation.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Neural Incremental Data Assimilation

Reference 5

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Observation c81f677b-eb6e-491f-b99c-565526245c37 · outbound

This paper cites Blanke, Y.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Blanke, Y

Reference 6

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Observation da4c37a0-26c8-48ab-9a9b-e731582eae0e · outbound

This paper cites Carrassi, M.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Carrassi, M

Reference 7

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Observation 7ba429c0-fdf1-451f-bcba-3b2c61869be8 · outbound

This paper cites Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching

Reference 8

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Observation 2ed39fe4-e640-462f-8171-6acaca29bb34 · outbound

This paper cites Cheng, B.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Cheng, B

Reference 9

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Observation f291013a-5e99-4994-b694-9daacdd5811d · outbound

This paper cites Cheng, C.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Cheng, C

Reference 10

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This paper cites an unresolved cited work.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Unresolved cited work

Reference 11

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PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Unresolved cited work

Reference 12

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Observation 4bdb601b-0c09-454b-b39b-7b3f08b4583e · outbound

This paper cites Evensen, F.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Evensen, F

Reference 13

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This paper cites an unresolved cited work.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Unresolved cited work

Reference 14

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This paper cites Farchi, M.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Farchi, M

Reference 15

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This paper cites an unresolved cited work.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Unresolved cited work

Reference 16

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This paper cites Gaspari and S.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Gaspari and S

Reference 17

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Observation c1026570-c217-4be4-bbe4-23a02a63ba18 · outbound

This paper cites Ghosh, V.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Ghosh, V

Reference 18

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Observation b8dc4c26-4f3d-48b5-988f-57dfa291fc48 · outbound

This paper cites DiffDA: a Diffusion Model for Weather-scale Data Assimilation.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models DiffDA: a Diffusion Model for Weather-scale Data Assimilation

Reference 19

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This paper cites Kuramoto.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Kuramoto

Reference 20

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This paper cites an unresolved cited work.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Unresolved cited work

Reference 21

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This paper cites an unresolved cited work.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Unresolved cited work

Reference 22

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Observation 3df7d975-8904-495d-8ebe-49b53d2d6248 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 23

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PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Unresolved cited work

Reference 24

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This paper cites an unresolved cited work.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Unresolved cited work

Reference 25

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Observation 73371893-048f-4581-a238-c5b266aa2dd9 · outbound

This paper cites Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales

Reference 26

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Observation b08483f0-20ad-4943-bfce-ef689c2c2500 · outbound

This paper cites A Variational Perspective on Solving Inverse Problems with Diffusion Models.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 27

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This paper cites PnP-Flow: Plug-and-Play Image Restoration with Flow Matching.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models PnP-Flow: Plug-and-Play Image Restoration with Flow Matching

Reference 28

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This paper cites Palmer and B.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Palmer and B

Reference 29

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This paper cites an unresolved cited work.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Unresolved cited work

Reference 30

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This paper cites Ensemble Kalman filter in latent space using a variational autoencoder pair.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Ensemble Kalman filter in latent space using a variational autoencoder pair

Reference 31

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This paper cites Price, A.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Price, A

Reference 32

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This paper cites Protas, T.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Protas, T

Reference 33

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This paper cites Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming

Reference 34

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PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Unresolved cited work

Reference 35

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Observation 347e2d0e-6aa5-4785-928b-e24c8a9db2a0 · outbound

This paper cites Qu and X.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Qu and X

Reference 36

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Observation a2440aa5-ba13-4c10-a0be-19c98feda7d7 · outbound

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PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Unresolved cited work

Reference 37

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Observation 737dc159-44d7-4cfe-955b-828ec19b3246 · outbound

This paper cites Ruckstuhl, T.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Ruckstuhl, T

Reference 38

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PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Unresolved cited work

Reference 39

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Observation 37892ceb-341f-4ccb-a347-a73ea372835a · outbound

This paper cites Sivashinsky.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Sivashinsky

Reference 40

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Observation e85aefc2-99b7-4aac-9955-d435859699a5 · outbound

This paper cites 4D-Var using Hessian approximation and backpropagation applied to automatically-differentiable numerical and machine learning models.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models 4D-Var using Hessian approximation and backpropagation applied to automatically-differentiable numerical and machine learning models

Reference 41

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PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Unresolved cited work

Reference 42

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PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Unresolved cited work

Reference 43

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PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Unresolved cited work

Reference 44

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Observation dac42d18-934f-4189-a109-060c7a88f692 · outbound

This paper cites VAE-Var: Variational-Autoencoder-Enhanced Variational Assimilation.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models VAE-Var: Variational-Autoencoder-Enhanced Variational Assimilation

Reference 45

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Observation 071fe739-8cab-4370-81fc-9d66e8dad46f · outbound

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PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:18:33.123114Z

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Observation 9fb3b6a5-59d5-429f-8310-0bc0d3897cc1 · outbound

This paper cites an unresolved cited work.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Unresolved cited work

Reference 47

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Observation 40df637b-198b-4bbc-bc7d-2c9b6ede5b1e · outbound

This paper cites an unresolved cited work.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:18:32.769316Z

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Observation a27ab6b4-f3ee-41a4-b9e5-5f99ac6f49c8 · outbound

This paper cites • Use 4th-order Runge–Kutta (RK4) with step size∆t = 0.01.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models • Use 4th-order Runge–Kutta (RK4) with step size∆t = 0.01

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:18:32.548866Z

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Observation 5ad538a2-fa4a-4bee-9701-637df8448d82 · outbound

This paper cites • Generate noisy observations yk = xtk + εk, ε k ∼ N(0, Σobs), with Σobs = σ2 obs C, σobs = √ 2, and C =   1 0 .5 0 .25 0.5 1 0 .5 0.25 0 .5 1  .

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models • Generate noisy observations yk = xtk + εk, ε k ∼ N(0, Σobs), with Σobs = σ2 obs C, σobs = √ 2, and C =   1 0 .5 0 .25 0.5 1 0 .5 0.25 0 .5 1  

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:18:32.294153Z

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Observation a48a5ed8-0135-4e3f-9b81-b2728a51bc02 · outbound

This paper cites Initialize x(i) 0 = x0 + δ(i), δ (i) ∼ N(0, σ2 initI3), σinit = √ 2.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Initialize x(i) 0 = x0 + δ(i), δ (i) ∼ N(0, σ2 initI3), σinit = √ 2

Reference 51

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T10:18:32.125337Z

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Observation fde4cd14-370a-475d-b062-3ab5cf3cbfb1 · outbound

This paper cites • Use 4th-order Runge–Kutta with∆t = 0.005; spin-up 10,000 steps, discard first 2,000.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models • Use 4th-order Runge–Kutta with∆t = 0.005; spin-up 10,000 steps, discard first 2,000

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:18:31.961782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec4f15cb-8f49-4295-aad6-d419bb5aaf4a · outbound

This paper cites • Corrupt with Gaussian noise yk = Xk(tk) + εk, ε k ∼ N(0, σ2 obs), σobs = 0.5.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models • Corrupt with Gaussian noise yk = Xk(tk) + εk, ε k ∼ N(0, σ2 obs), σobs = 0.5

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:18:31.766446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8ab5b79e-0383-4645-8b78-eb3cf032bec4 · outbound

This paper cites • Analysis: – Computebackgroundmean ¯xb andcovariance B = 1 N −1 P i(xb,(i)−¯xb)(xb,(i)− ¯xb)⊤.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models • Analysis: – Computebackgroundmean ¯xb andcovariance B = 1 N −1 P i(xb,(i)−¯xb)(xb,(i)− ¯xb)⊤

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:18:31.533154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 02a91df3-63f6-409b-9522-be931d46ed3f · outbound

This paper cites • Discretize into ne = 128 interior points; use LSODA solver with∆t = 0.25.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models • Discretize into ne = 128 interior points; use LSODA solver with∆t = 0.25

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:18:31.266671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e3e26e16-41f4-4f56-b29c-adcda27e4204 · outbound

This paper cites • Add independent noise uobs = utrue(xobs, tb) + ε, ε ∼ N(0, σ2 obs), σobs = √ 10−2.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models • Add independent noise uobs = utrue(xobs, tb) + ε, ε ∼ N(0, σ2 obs), σobs = √ 10−2

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:18:31.088724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad7c1f6e-4a2e-4b12-84a8-6fc46ee654d3 · outbound

This paper cites • Analysis: At each tb: – Perturb observations: uo,(i) = uobs + δ(i), δ(i) ∼ N(0, σ2 obsI).

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models • Analysis: At each tb: – Perturb observations: uo,(i) = uobs + δ(i), δ(i) ∼ N(0, σ2 obsI)

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:18:30.899784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers