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Paper Citation Record · LEDGER

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching

As of 15 August 2026, this Paper Citation Record lists 92 of 92 outbound references and 0 inbound Pith citation observations for arXiv:2608.05103.

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pith.paper-citation-record.v1
2608.05103 v2

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measured 92 of 92 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-08T16:55:41.844803Z

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92 of 92 outbound references displayed

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Outbound references

Observation bf93e8ac-b02a-4cc6-a206-5c776a7ff692 · outbound

This paper cites Toward unification of the multiscale modeling of the atmosphere.Atmospheric Chemistry and Physics, 11(8):3731–3742, 2011.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Toward unification of the multiscale modeling of the atmosphere.Atmospheric Chemistry and Physics, 11(8):3731–3742, 2011

Reference 1

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Observation 8896efd4-8bb9-4b3a-9fc4-c263054fc8c0 · outbound

This paper cites Springer Science & Business Media, 2003.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Springer Science & Business Media, 2003

Reference 2

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Observation 08efbea0-fe80-4c2a-9884-ee3c826ed306 · outbound

This paper cites Multiscale cloud system modeling.Reviews of Geophysics, 47(4), 2009.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Multiscale cloud system modeling.Reviews of Geophysics, 47(4), 2009

Reference 3

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Observation a735467b-5850-46b2-8834-3b60eab71c87 · outbound

This paper cites Satellite data assimilation in numerical weather prediction: An overview.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Satellite data assimilation in numerical weather prediction: An overview

Reference 4

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Observation 9c3da922-e061-4c84-9760-022d06c245d3 · outbound

This paper cites Observing-system experiments in the ecmwf 4d-var data assimilation system.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Observing-system experiments in the ecmwf 4d-var data assimilation system

Reference 5

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Observation 60615260-c0ea-474d-bc26-6067536953fc · outbound

This paper cites A bayesian tutorial for data assimilation.Physica D: Nonlinear Phenomena, 230(1-2):1–16, 2007.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching A bayesian tutorial for data assimilation.Physica D: Nonlinear Phenomena, 230(1-2):1–16, 2007

Reference 6

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Observation 041508e1-2aa6-421a-8727-bf64f5c0b039 · outbound

This paper cites Evaluating data assimilation algorithms.Monthly weather review, 140(11):3757–3782, 2012.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Evaluating data assimilation algorithms.Monthly weather review, 140(11):3757–3782, 2012

Reference 7

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Observation f548b00c-ed39-493e-8437-b31f62aeeace · outbound

This paper cites The era5 global reanalysis.Quarterly journal of the royal meteorological society, 146(730):1999–2049, 2020.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching The era5 global reanalysis.Quarterly journal of the royal meteorological society, 146(730):1999–2049, 2020

Reference 8

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Observation 83c2273f-12f1-4231-b2cc-6add1309c5f0 · outbound

This paper cites World Scientific, 2014.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching World Scientific, 2014

Reference 9

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Observation c81e8e4f-ac12-4644-927e-ab74cd68625f · outbound

This paper cites Data assimilation and its applications.Proceedings of the National Academy of Sciences, 97(21):11143–11144, 2000.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Data assimilation and its applications.Proceedings of the National Academy of Sciences, 97(21):11143–11144, 2000

Reference 10

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Observation e83d361a-462c-4fe4-97d9-e8073115433d · outbound

This paper cites Data assimilation methods in the earth sciences.Advances in water resources, 31(11):1411–1418, 2008.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Data assimilation methods in the earth sciences.Advances in water resources, 31(11):1411–1418, 2008

Reference 11

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Observation 121eb791-6936-4c6c-8f00-5382438f0022 · outbound

This paper cites Learning deep generative models.Annual Review of Statistics and Its Application, 2(1):361–385, 2015.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Learning deep generative models.Annual Review of Statistics and Its Application, 2(1):361–385, 2015

Reference 12

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Observation 6a9accd2-9bb2-4990-94cc-f8527bb5966b · outbound

This paper cites Generative learning for forecasting the dynamics of high-dimensional complex systems.Nature Communications, 15(1):8904, 2024.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Generative learning for forecasting the dynamics of high-dimensional complex systems.Nature Communications, 15(1):8904, 2024

Reference 13

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Observation 8d295466-0cf9-43db-af34-e9b2ed5b0c45 · outbound

This paper cites Probabilistic weather forecasting with machine learning.Nature, 637(8044):84–90, 2025.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Probabilistic weather forecasting with machine learning.Nature, 637(8044):84–90, 2025

Reference 14

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Observation 164f4c37-90b2-4c34-9de3-f8c662d1f836 · outbound

This paper cites Maximum likelihood training of score-based diffusion models.Advances in neural information processing systems, 34:1415–1428, 2021.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Maximum likelihood training of score-based diffusion models.Advances in neural information processing systems, 34:1415–1428, 2021

Reference 15

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Observation 4200731f-f78e-49e7-805e-3bc71eca00cb · outbound

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

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Score-Based Generative Modeling through Stochastic Differential Equations

Reference 16

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This paper cites Elucidating the design space of diffusion-based generative models.Advances in neural information processing systems, 35:26565–26577, 2022.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Elucidating the design space of diffusion-based generative models.Advances in neural information processing systems, 35:26565–26577, 2022

Reference 17

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Observation c9918ba3-ce81-4c39-b114-8bb717be06c4 · outbound

This paper cites Flow Matching for Generative Modeling.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Flow Matching for Generative Modeling

Reference 18

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This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Scaling rectified flow transformers for high-resolution image synthesis

Reference 19

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Observation 377f2a29-399a-4fe6-9e9a-ab7b7ed5e2bd · outbound

This paper cites Diffusion models as plug-and-play priors.Advances in Neural Information Processing Systems, 35:14715–14728, 2022.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Diffusion models as plug-and-play priors.Advances in Neural Information Processing Systems, 35:14715–14728, 2022

Reference 20

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Observation 250f8aa9-edd0-463f-bf4d-e7e463f16b10 · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 21

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Observation df1ca2eb-22f2-47c9-bd04-c81c52c3124f · outbound

This paper cites Multimodal atmospheric super-resolution with deep generative models.Machine Learning: Earth, 2(1):015001, 2026.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Multimodal atmospheric super-resolution with deep generative models.Machine Learning: Earth, 2(1):015001, 2026

Reference 22

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Observation b427cf66-3290-4667-9a7b-ac27349ad65c · outbound

This paper cites Simplifying, stabilizing and scaling continuous-time consistency models.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Simplifying, stabilizing and scaling continuous-time consistency models

Reference 23

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Observation 61572849-b544-455d-9ad8-101ff87f2c95 · outbound

This paper cites Scalable diffusion models with transformers.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Scalable diffusion models with transformers

Reference 24

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Observation 972be2bb-3377-47d2-8fc2-0a64735da082 · outbound

This paper cites Overview of the integrated global radiosonde archive.Journal of Climate, 19(1):53–68, 2006.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Overview of the integrated global radiosonde archive.Journal of Climate, 19(1):53–68, 2006

Reference 25

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This paper cites The integrated surface database: Recent developments and partnerships.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching The integrated surface database: Recent developments and partnerships

Reference 26

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This paper cites Icoads release 3.0: a major update to the historical marine climate record.International Journal of Climatology, 37(5):2211–2232, 2017.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Icoads release 3.0: a major update to the historical marine climate record.International Journal of Climatology, 37(5):2211–2232, 2017

Reference 27

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This paper cites GraphDOP: Towards skilful data-driven medium-range weather forecasts learnt and initialised directly from observations.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching GraphDOP: Towards skilful data-driven medium-range weather forecasts learnt and initialised directly from observations

Reference 28

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This paper cites Super-resolution reconstruction of turbulent flows with machine learning.Journal of Fluid Mechanics, 870:106–120, 2019.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Super-resolution reconstruction of turbulent flows with machine learning.Journal of Fluid Mechanics, 870:106–120, 2019

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Observation c8d0d469-d0ba-4551-b372-c0fda2ee2a06 · outbound

This paper cites Super-resolution and denoising of 4d-flow mri using physics-informed deep neural nets.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Super-resolution and denoising of 4d-flow mri using physics-informed deep neural nets

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Observation 8c88c211-3a87-47fc-ac15-ed90901d8b6e · outbound

This paper cites Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems

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Observation 72496276-8301-4ce9-82ba-76b8716ee8b1 · outbound

This paper cites Super-resolution analysis via machine learning: a survey for fluid flows.Theoretical and Computational Fluid Dynamics, 37(4):421–444, 2023.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Super-resolution analysis via machine learning: a survey for fluid flows.Theoretical and Computational Fluid Dynamics, 37(4):421–444, 2023

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Observation 08b75738-6db9-4c96-ae9f-490b043ba723 · outbound

This paper cites Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels.Physics of Fluids, 33(7), 2021.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels.Physics of Fluids, 33(7), 2021

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Observation f69037f5-ef84-46b7-9dbd-480b53d8b272 · outbound

This paper cites Physr: Physics-informed deep super-resolution for spatiotemporal data.Journal of Computational Physics, 492:112438, 2023.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Physr: Physics-informed deep super-resolution for spatiotemporal data.Journal of Computational Physics, 492:112438, 2023

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Observation 14241a51-e774-4a86-88dd-c2aa7a4f171e · outbound

This paper cites Single-snapshot machine learning for super-resolution of turbulence.Journal of Fluid Mechanics, 1001:A32, 2024.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Single-snapshot machine learning for super-resolution of turbulence.Journal of Fluid Mechanics, 1001:A32, 2024

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Observation 3724e6ad-7aaa-4ea3-a824-edf19c554a89 · outbound

This paper cites Mesh-based super-resolution of fluid flows with multiscale graph neural networks.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Mesh-based super-resolution of fluid flows with multiscale graph neural networks

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source=pdf_text observed=2026-08-08T16:55:41.612465Z digest=sha256:4dc89897a8ef6bc61790af81c576fba0d1e0d363df51be6915b1988337a131b0

Observation 453eae81-5e17-4f0d-9815-8044a0c26b79 · outbound

This paper cites Global field reconstruction from sparse sensors with voronoi tessellation-assisted deep learning.Nature Machine Intelligence, 3(11):945–951, 2021.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Global field reconstruction from sparse sensors with voronoi tessellation-assisted deep learning.Nature Machine Intelligence, 3(11):945–951, 2021

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Observation f076c575-3ecc-44dd-873f-61fa069a6c22 · outbound

This paper cites Probabilistic neural networks for fluid flow surrogate modeling and data recovery.Physical Review Fluids, 5(10):104401, 2020.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Probabilistic neural networks for fluid flow surrogate modeling and data recovery.Physical Review Fluids, 5(10):104401, 2020

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source=pdf_text observed=2026-08-08T16:55:41.620000Z digest=sha256:fcea293f9a63f576a1998142e08c22cc4ea500431a36b24b1af1dcaf7b83f54d

Observation 39690cb6-ae27-448f-867c-7d71de5fb7ff · outbound

This paper cites Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles.Physica D: Nonlinear Phenomena, 454:133852, 2023.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles.Physica D: Nonlinear Phenomena, 454:133852, 2023

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source=pdf_text observed=2026-08-08T16:55:41.623862Z digest=sha256:556ab1c2a34150c7bd0595693b1fcf0d13cf4d565a1697cc5c5f00a428740e27

Observation 0ed67838-a923-490f-9218-88d19baad811 · outbound

This paper cites Averaging Weights Leads to Wider Optima and Better Generalization.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Averaging Weights Leads to Wider Optima and Better Generalization

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source=pdf_text observed=2026-08-08T16:55:41.627612Z digest=sha256:46273b55ad1f64e92329a7af890e31e0fc4c4ffc3ffdbcaeb41628f3be9ed469

Observation 856365de-bfc2-4c21-995b-049b2139b94c · outbound

This paper cites Assessments of epistemic uncertainty using gaussian stochastic weight averaging for fluid-flow regression.Physica D: Nonlinear Phenomena, 440:133454, 2022.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Assessments of epistemic uncertainty using gaussian stochastic weight averaging for fluid-flow regression.Physica D: Nonlinear Phenomena, 440:133454, 2022

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source=pdf_text observed=2026-08-08T16:55:41.631730Z digest=sha256:acadab2513b64f9754e2c5400e09c49276a2ead0b3b23d41f00056828a01bb6b

Observation 4a94ce85-4f45-4344-8072-8549c7c79c0d · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Deep unsupervised learning using nonequilibrium thermodynamics

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Observation fcebf132-3b4a-48ce-8001-47cf61d4ce6c · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

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Observation 86d4d739-1610-47e5-94a2-308e01cf70ba · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.Advances in neural information processing systems, 32, 2019.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Generative modeling by estimating gradients of the data distribution.Advances in neural information processing systems, 32, 2019

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source=pdf_text observed=2026-08-08T16:55:41.643708Z digest=sha256:9962382d2ef0ba4f30e40e921248d7dfa92c7e4bbcfffd16d15f6d94932a2839

Observation dff1cc9a-9eb1-4f61-a73c-ec86773b4f41 · outbound

This paper cites Estimation of non-normalized statistical models by score matching.Journal of Machine Learning Research, 6(4), 2005.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Estimation of non-normalized statistical models by score matching.Journal of Machine Learning Research, 6(4), 2005

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source=pdf_text observed=2026-08-08T16:55:41.647368Z digest=sha256:902d45a5b3441e46febe09f17e9dd3362820c2ff2180f5e6208c45e769a1aacd

Observation a159a39d-02f0-4119-af94-47804a9db569 · outbound

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

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 46

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source=pdf_text observed=2026-08-08T16:55:41.650885Z digest=sha256:a5e65865b18ce2f84534eeca8ccbcf3df50e65641a0c93c6a866634cf5a5f81b

Observation 40f35f20-7503-46be-b9f8-b2a3e996e457 · outbound

This paper cites Stochastic interpolants: A unifying framework for flows and diffusions.Journal of Machine Learning Research, 26(209):1–80, 2025.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Stochastic interpolants: A unifying framework for flows and diffusions.Journal of Machine Learning Research, 26(209):1–80, 2025

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source=pdf_text observed=2026-08-08T16:55:41.654744Z digest=sha256:0a50f8f270b0b80e5fac096d18a74ae6f538b0dc1669a0528229add5ff5ae862

Observation a77ddcc1-1055-48fd-83e0-7ea8a9348d14 · outbound

This paper cites Pseudoinverse-guided diffusion models for inverse problems.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Pseudoinverse-guided diffusion models for inverse problems

Reference 48

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source=pdf_text observed=2026-08-08T16:55:41.658300Z digest=sha256:0a9a554b0e240ad805ab211268b88d60f84dad355c37e1df7b13452ebe617c46

Observation 6a66658e-da84-446c-bde6-185dca19767d · outbound

This paper cites Denoising diffusion restoration models.Advances in neural information processing systems, 35:23593–23606, 2022.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Denoising diffusion restoration models.Advances in neural information processing systems, 35:23593–23606, 2022

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source=pdf_text observed=2026-08-08T16:55:41.661871Z digest=sha256:2c928a0081bbba0a76b0011b5651245a7dc34a76600ed9770ea98d5eca30d387

Observation b08d37e0-e47e-43cd-9538-bd252f3b211f · outbound

This paper cites Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Reference 50

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source=pdf_text observed=2026-08-08T16:55:41.665559Z digest=sha256:e002ec2874defa943872881ae2ecab038cbf52a5c058ebafb06c0557031bc843

Observation bff239b7-3148-44e7-a1f1-c1717a665ee4 · outbound

This paper cites A variational perspective on solving inverse problems with diffusion models.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching A variational perspective on solving inverse problems with diffusion models

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source=pdf_text observed=2026-08-08T16:55:41.669919Z digest=sha256:b65928a73b33417b2b2ac519d2fd583d8dd0558b894bb8034b496b4f6e7a3ac9

Observation cb28cb6c-e84b-4d6c-8588-095d4d19c972 · outbound

This paper cites Denoising diffusion models for plug-and-play image restoration.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Denoising diffusion models for plug-and-play image restoration

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source=pdf_text observed=2026-08-08T16:55:41.673595Z digest=sha256:ced71efdd7a82c9133b42e70f28a0d4de8c738acb480cd4379c0b1f42916dc16

Observation 04b84567-501b-4d3c-b868-2cbe292749a3 · outbound

This paper cites Principled probabilistic imaging using diffusion models as plug-and-play priors.Advances in Neural Information Processing Systems, 37:118389–118427, 2024.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Principled probabilistic imaging using diffusion models as plug-and-play priors.Advances in Neural Information Processing Systems, 37:118389–118427, 2024

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Observation 5cfd2699-37b3-458e-9bee-cda3672a6a0a · outbound

This paper cites Improving diffusion inverse problem solving with decoupled noise annealing.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Improving diffusion inverse problem solving with decoupled noise annealing

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source=pdf_text observed=2026-08-08T16:55:41.681085Z digest=sha256:b114ea689c5b5d59f46abb56265b46a5a1d4fa980c3e251e423245392a7ab286

Observation fbe87361-2648-4d93-99a5-9a09379813a3 · outbound

This paper cites Solving linear inverse problems provably via posterior sampling with latent diffusion models.Advances in Neural Information Processing Systems, 36:49960–49990, 2023.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Solving linear inverse problems provably via posterior sampling with latent diffusion models.Advances in Neural Information Processing Systems, 36:49960–49990, 2023

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Observation fda8e822-565a-4876-868f-f64747b48083 · outbound

This paper cites Solving inverse problems with latent diffusion models via hard data consistency.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Solving inverse problems with latent diffusion models via hard data consistency

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source=pdf_text observed=2026-08-08T16:55:41.688141Z digest=sha256:19b9b74e18347765daa79c37503d43d043d001b2675e11199c69a93d28f2d7a7

Observation 514f45db-b2e2-4fe4-81c2-a0fb5bac8c49 · outbound

This paper cites Inversebench: Benchmarking plug-and-play diffusion priors for inverse problems in physical sciences.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Inversebench: Benchmarking plug-and-play diffusion priors for inverse problems in physical sciences

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source=pdf_text observed=2026-08-08T16:55:41.692181Z digest=sha256:b8ad9d479a833ff41c83eff6a01ac9096568ea692d15f8f1fc9838e12b7dddad

Observation 8945d08d-180c-4240-9a48-9ee6c726b8a0 · outbound

This paper cites Residual corrective diffusion modeling for km-scale atmospheric downscaling.Communications Earth & Environment, 6(1):124, 2025.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Residual corrective diffusion modeling for km-scale atmospheric downscaling.Communications Earth & Environment, 6(1):124, 2025

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source=pdf_text observed=2026-08-08T16:55:41.695908Z digest=sha256:7e43ede4b77077c0f40c9443fcf93bccdbe1e2a13ab7e1e15e3978d6f56d4f1c

Observation db3b32b2-a86f-4838-a264-33f83005cb66 · outbound

This paper cites Precipitation downscaling with spatiotemporal video diffusion.Advances in Neural Information Processing Systems, 37:56374–56400, 2024.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Precipitation downscaling with spatiotemporal video diffusion.Advances in Neural Information Processing Systems, 37:56374–56400, 2024

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Observation 681cf1fb-2f96-4099-85dd-1fc3b566ad3a · outbound

This paper cites Generative Diffusion-based Downscaling for Climate.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Generative Diffusion-based Downscaling for Climate

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source=pdf_text observed=2026-08-08T16:55:41.703664Z digest=sha256:adf4e5df82a7c73d27b41a5655dfd56699a46a8fba50576bdcfd493e621c4d95

Observation 0e3dbdb7-93c6-4c3d-a03b-14bae98f76d9 · outbound

This paper cites Generative emulation of weather forecast ensembles with diffusion models.Science Advances, 10(13):eadk4489, 2024.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Generative emulation of weather forecast ensembles with diffusion models.Science Advances, 10(13):eadk4489, 2024

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source=pdf_text observed=2026-08-08T16:55:41.707540Z digest=sha256:0f665d3f292c12cdf8f3e8398630e3185d1ed9773db7b997ea6893b35b86044e

Observation ae89baed-2658-4ee1-b848-b1bbf102ac8e · outbound

This paper cites Continuous ensemble weather forecasting with diffusion models.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Continuous ensemble weather forecasting with diffusion models

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Observation 8b505ccc-40dd-4a0e-b9a1-b200083d49a4 · outbound

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

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching DiffDA: a Diffusion Model for Weather-scale Data Assimilation

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Observation e57f5959-6ccb-45f3-8ab6-837991c62a33 · outbound

This paper cites Generative data assimilation of sparse weather station observations at kilometer scales.Journal of Advances in Modeling Earth Systems, 17(10):e2024MS004505, 2025.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Generative data assimilation of sparse weather station observations at kilometer scales.Journal of Advances in Modeling Earth Systems, 17(10):e2024MS004505, 2025

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source=pdf_text observed=2026-08-08T16:55:41.718379Z digest=sha256:e147d604567541bba3222745f5d86d3d4fe971bba2ecf787268e2de03d075c82

Observation a34c0438-68bb-41cc-b332-20a85b28788f · outbound

This paper cites Generative assimilation and prediction for weather and climate.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Generative assimilation and prediction for weather and climate

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source=pdf_text observed=2026-08-08T16:55:41.722214Z digest=sha256:738b91c1d6dfb57a3471b6d56a483d1906865aa28e3725cf77326b3b7509ca51

Observation cc4c2ed9-4274-40e6-827d-b882d8f22fec · outbound

This paper cites Deep generative data assimilation in multimodal setting.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Deep generative data assimilation in multimodal setting

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source=pdf_text observed=2026-08-08T16:55:41.726207Z digest=sha256:e1a9d288c4f1f6493d1672062f1e6ae63ab715ffd41a2c9452edc8daaa61f739

Observation 82565dcb-faf1-4636-978a-eae3fcdf0585 · outbound

This paper cites PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems

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Observation 3d2f7248-73ff-40a5-aaf5-5e1ccc4dddc9 · outbound

This paper cites A score-based filter for nonlinear data assimilation.Journal of Computational Physics, 514:113207, 2024.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching A score-based filter for nonlinear data assimilation.Journal of Computational Physics, 514:113207, 2024

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source=pdf_text observed=2026-08-08T16:55:41.733701Z digest=sha256:8df6962baddd84951a65a646446cea3bda8324a295296395339f4aef7ac90b7b

Observation 3728612c-5f40-47a0-a0b0-f3e40cd4c202 · outbound

This paper cites Ensemble score filter with image inpainting for data assimilation in tracking surface quasi-geostrophic dynamics with partial observations.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Ensemble score filter with image inpainting for data assimilation in tracking surface quasi-geostrophic dynamics with partial observations

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source=pdf_text observed=2026-08-08T16:55:41.737309Z digest=sha256:0056307178bc8e22431ab7d23d4ff221aac3c47688fff2e1495be8af87d4fe5d

Observation 15e4ddd8-cb34-4159-80c8-79278c0d5d79 · outbound

This paper cites STeP: A Framework for Solving Scientific Video Inverse Problems with Spatiotemporal Diffusion Priors.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching STeP: A Framework for Solving Scientific Video Inverse Problems with Spatiotemporal Diffusion Priors

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source=pdf_text observed=2026-08-08T16:55:41.741360Z digest=sha256:92f824d01d0fd137f141ba04bcb02c27c553e15c0d97ea0de87589b15b90d4ee

Observation d3c37e3a-c726-47b6-8c73-50b465a1dfd1 · outbound

This paper cites Appa: Bending weather dynamics with latent diffusion models for global data assimilation.arXiv preprint arXiv:2504.18720, 2025.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Appa: Bending weather dynamics with latent diffusion models for global data assimilation.arXiv preprint arXiv:2504.18720, 2025

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source=pdf_text observed=2026-08-08T16:55:41.745123Z digest=sha256:c42efa724f6d4a84aa377fc4526b5b755fc22632f59bbf110f92c24219fcf4d2

Observation 738a5eb3-9e02-4a61-8137-3a88214fedef · outbound

This paper cites Tweedie’s formula and selection bias.Journal of the American Statistical Association, 106(496):1602–1614, 2011.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Tweedie’s formula and selection bias.Journal of the American Statistical Association, 106(496):1602–1614, 2011

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source=pdf_text observed=2026-08-08T16:55:41.748975Z digest=sha256:24719825054ad4bb89e1678e70467822d600cc133009919aa8fef0b9ba3dd458

Observation ce93c12d-16b5-43dd-be08-02a2616ad457 · outbound

This paper cites Analyzing and improving the training dynamics of diffusion models.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Analyzing and improving the training dynamics of diffusion models

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source=pdf_text observed=2026-08-08T16:55:41.755617Z digest=sha256:ad3e29afcbc1e727ea03b59c70b5291fe60bcba11e6341a6c4ff6990edd33545

Observation e89413cc-c997-4b1c-baac-f573267b6934 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Classifier-Free Diffusion Guidance

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source=pdf_text observed=2026-08-08T16:55:41.761965Z digest=sha256:5a75f6084dc5c1763d03e7c1ef20cf16f04b3c8d4f1d94e57ae45a1fc162274d

Observation d4e38459-33c7-458d-a6be-c0121ec7da58 · outbound

This paper cites Score-based data assimilation.Advances in Neural Information Processing Systems, 36:40521–40541, 2023.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Score-based data assimilation.Advances in Neural Information Processing Systems, 36:40521–40541, 2023

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source=pdf_text observed=2026-08-08T16:55:41.770295Z digest=sha256:a924bbcf19c09d934804b24d2e2a5e26b0d7c6cf2f1a25379a6ab0754d3a4bb2

Observation a680224d-631e-4f32-8293-4dc504f08c6e · outbound

This paper cites Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models.Machine Intelligence Research, 22(4):730–751, 2025.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models.Machine Intelligence Research, 22(4):730–751, 2025

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source=pdf_text observed=2026-08-08T16:55:41.774399Z digest=sha256:71a1a1e259cde8a277583ab5b620737add56014ed43bdf1ba2a410be02b74765

Observation 5c9720bd-e54e-4b62-907c-4fd09db4995a · outbound

This paper cites Traversing distortion-perception tradeoff using a single score-based generative model.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Traversing distortion-perception tradeoff using a single score-based generative model

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source=pdf_text observed=2026-08-08T16:55:41.778386Z digest=sha256:a4536daf4a92f573a60de9b3b8bf8d4751c9854c1564bc804ba3b17d52bedcb0

Observation a3eb7990-daa1-4fe0-8012-36f43979c999 · outbound

This paper cites Adaptive guidance: Training-free acceleration of conditional diffusion models.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Adaptive guidance: Training-free acceleration of conditional diffusion models

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source=pdf_text observed=2026-08-08T16:55:41.782776Z digest=sha256:cc14f7e60a3d1802f85b6a0866017827d645b71d7c87cd053a60e091a90359bc

Observation 8973028b-bcb8-406e-950b-e9244e487c2e · outbound

This paper cites Guidance with Spherical Gaussian Constraint for Conditional Diffusion.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Guidance with Spherical Gaussian Constraint for Conditional Diffusion

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source=pdf_text observed=2026-08-08T16:55:41.786331Z digest=sha256:04bc6d2190cbc0dbb13780b9082789529ef367e51cb974d19d1733ae245a8f5a

Observation 1aabc8c8-9063-47e1-aa69-a2cfb069cd91 · outbound

This paper cites A global three-dimensional multivariate statistical interpolation scheme.Monthly Weather Review, 109(4):701–721, 1981.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching A global three-dimensional multivariate statistical interpolation scheme.Monthly Weather Review, 109(4):701–721, 1981

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source=pdf_text observed=2026-08-08T16:55:41.790147Z digest=sha256:b557ba9550479e055891f11ad4e22e2c9e5ee6cd4022704932d0624c2eaa1c3d

Observation f249553b-2049-4760-8d57-4f1739444858 · outbound

This paper cites an unresolved cited work.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Unresolved cited work

Reference 81

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source=pdf_text observed=2026-08-08T16:55:41.794345Z digest=sha256:58ae0150c9c0c4046d93e74c39f100ba9fe3f335a412b208063aab3761734013

Observation 04b90684-0cc9-4806-9d67-cf1f94cbc6b4 · outbound

This paper cites Weatherbench: a benchmark data set for data-driven weather forecasting.Journal of Advances in Modeling Earth Systems, 12(11):e2020MS002203, 2020.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Weatherbench: a benchmark data set for data-driven weather forecasting.Journal of Advances in Modeling Earth Systems, 12(11):e2020MS002203, 2020

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source=pdf_text observed=2026-08-08T16:55:41.798445Z digest=sha256:72803b4a8965dbea2fbbdb1afbbb170a148db0d08f21496d2e815bf1cb5f181d

Observation f8b617fc-79ef-459d-b60c-1de2de1239bc · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Adam: A Method for Stochastic Optimization

Reference 83

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source=pdf_text observed=2026-08-08T16:55:41.803322Z digest=sha256:f963178e72ae51f10aedf4977a2f8238c12cb151907acbfd629813cb2ed6fbfd

Observation 8f72a9c6-0da2-4440-950b-8f7210c39136 · outbound

This paper cites Decoupled Weight Decay Regularization.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Decoupled Weight Decay Regularization

Reference 84

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source=pdf_text observed=2026-08-08T16:55:41.807799Z digest=sha256:84282131d6cc941d5340df2251cca8666e83e4838dc845373b3e7e4a739b999d

Observation 14e26a5b-8768-40b9-9743-f5cde3dd51bd · outbound

This paper cites A fixed-lag kalman smoother for retrospective data assimilation.Monthly Weather Review, 122(12):2838–2867, 1994.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching A fixed-lag kalman smoother for retrospective data assimilation.Monthly Weather Review, 122(12):2838–2867, 1994

Reference 85

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T16:55:41.812159Z digest=sha256:7c753d6694f4ca6f12a2d65c765b826c1da89a8f42871aefca9cfa141f87dbe7

Observation 6dff6c20-20d1-49f1-966d-0e3a542d4484 · outbound

This paper cites End-to-end data-driven weather prediction.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching End-to-end data-driven weather prediction

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source=pdf_text observed=2026-08-08T16:55:41.816785Z digest=sha256:4ad5dfdc943066922471beaa383d56b96fcf3881086d7eb2d4426302b4f883c8

Observation d4652a8a-4c47-4940-999a-a580d0c77c17 · outbound

This paper cites HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts

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source=pdf_text observed=2026-08-08T16:55:41.820537Z digest=sha256:9aec1fcb5f060dd1c2f10eeda89640a0f09f80842dd538e6fa16dd140e4e9ab0

Observation 1320ce64-3037-4e79-9b32-a295849c2516 · outbound

This paper cites Applying guidance in a limited interval improves sample and distribution quality in diffusion models.Advances in Neural Information Processing Systems, 37:122458–122483, 2024.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Applying guidance in a limited interval improves sample and distribution quality in diffusion models.Advances in Neural Information Processing Systems, 37:122458–122483, 2024

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source=pdf_text observed=2026-08-08T16:55:41.825943Z digest=sha256:bfca3e3fc29157cb5f843bb5f6efd02fc187cbb941beaf2fb805f3eb6a76a344

Observation 6d1b6ccd-627b-4308-8b77-f903273f4d05 · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

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source=pdf_text observed=2026-08-08T16:55:41.831622Z digest=sha256:6a7d9017b7d2f8bdb571b872e0f27a57e96db2a59dd6d598c539e50710e72235

Observation 708ed70d-3e99-4e8f-abce-bc0e03bbddf6 · outbound

This paper cites Restart sampling for improving generative processes.Advances in Neural Information Processing Systems, 36:76806–76838, 2023.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Restart sampling for improving generative processes.Advances in Neural Information Processing Systems, 36:76806–76838, 2023

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source=pdf_text observed=2026-08-08T16:55:41.836541Z digest=sha256:78662148749c60a43a6d19316c13e43d9dc9491e931e40df8d214fbd7ae18872

Observation ee4bd202-b5a7-422e-a23d-7ca61da62dbb · outbound

This paper cites The effect of thinning and superobservations in a simple one-dimensional data analysis with mischaracterized error.Monthly Weather Review, 146(4):1181–1195, 2018.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching The effect of thinning and superobservations in a simple one-dimensional data analysis with mischaracterized error.Monthly Weather Review, 146(4):1181–1195, 2018

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source=pdf_text observed=2026-08-08T16:55:41.840799Z digest=sha256:964582537562067caa6d45622f19bf84994176aab7ebfece54b679a6a72e9614

Observation ecfb4fc2-2a59-4472-b68a-de778df33a01 · outbound

This paper cites Learning skillful medium-range global weather forecasting.Science, 382(6677):1416–1421, 2023.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching Learning skillful medium-range global weather forecasting.Science, 382(6677):1416–1421, 2023

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raw_fallback, observed 2026-08-08T16:55:42.273683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T16:55:41.844803Z digest=sha256:600e727defd6121c67fe95de24d6e62ba2e239b5ee9d44af6c36441b1dc908c7

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