Paper Citation Record · LEDGER

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems

As of 19 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation for arXiv:2505.17351.

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

pith.paper-citation-record.v1
2505.17351 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:55:07.313789Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T21:10:19.571440Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-16T21:11:16.977519Z

Reference resolution

63 of 63 outbound references displayed

verified exact1
verified fuzzy15
unresolved47
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f43db888-c3e4-4aea-a762-b86a8e1ff198 · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:01.534436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9aaf56a9-a909-4724-a20c-0319631f1241 · outbound

This paper cites Computational design for long-term numerical integration of the equations of fluid motion: Two- dimensional incompressible flow.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Computational design for long-term numerical integration of the equations of fluid motion: Two- dimensional incompressible flow

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:11.339433Z

Source-reported events for the cited work

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

Observation a2466e8f-9c60-4c4a-aea1-7e80c1762349 · outbound

This paper cites All are worth words: A ViT backbone for diffusion models.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems All are worth words: A ViT backbone for diffusion models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:01.681314Z

Source-reported events for the cited work

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Observation cc4d5ea1-9353-4a81-8f99-887df7b99e21 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:01.759600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ae3da0f-51ce-474e-b21b-b54bdc6130c5 · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Align your latents: High-resolution video synthesis with latent diffusion models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:01.874775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 757f62c2-7bdd-42b5-9963-8e085b43de0a · outbound

This paper cites an unresolved cited work.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:55:11.206284Z

Source-reported events for the cited work

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

Observation d0a1fa80-6194-480a-aec6-9021ef6b0c28 · outbound

This paper cites Activating more pixels in image super- resolution transformer.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Activating more pixels in image super- resolution transformer

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:10.999980Z

Source-reported events for the cited work

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

Observation 401a10f8-c85f-4ccc-b8fa-f0da55cdf61d · outbound

This paper cites Maddix, Abdul Fatir Ansari, Andrew Stuart, Michael W.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Maddix, Abdul Fatir Ansari, Andrew Stuart, Michael W

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:02.132710Z

Source-reported events for the cited work

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Observation f5a4d157-4ed5-40d7-bde5-5099bbada8b8 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems An image is worth 16x16 words: Transformers for image recognition at scale

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:02.262752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4924b364-5d9c-4bc2-a485-d5d1590653a1 · outbound

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

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Tweedie’s formula and selection bias.Journal of the American Statistical Association, 106(496):1602– 1614, 2011

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:02.349790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 687a89dd-d189-463b-b212-b76144eaf858 · outbound

This paper cites U-shape mamba: State space model for faster diffusion.arXiv preprint arXiv:2504.13499, 2025.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems U-shape mamba: State space model for faster diffusion.arXiv preprint arXiv:2504.13499, 2025

Reference 11

Resolution: verified exact; raw_fallback, observed 2026-08-07T14:55:08.165156Z

Source-reported events for the cited work

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

Observation 642ace73-cb21-45ec-9407-5fb99df2de72 · outbound

This paper cites Shallow neural networks for fluid flow reconstruction with limited sensors.Proceedings of the Royal Society A, 476(2238):20200097, 2020.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Shallow neural networks for fluid flow reconstruction with limited sensors.Proceedings of the Royal Society A, 476(2238):20200097, 2020

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:10.808313Z

Source-reported events for the cited work

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

Observation c42c55ab-783b-4230-924a-b3a1770dcb71 · outbound

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

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Scaling rectified flow transformers for high-resolution image synthesis

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:02.679908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2d29a4c-6cf5-446b-af2a-44168b85aa1c · outbound

This paper cites Scalable Diffusion Models with State Space Backbone.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Scalable Diffusion Models with State Space Backbone

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:02.761884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1507153d-9174-44e3-be49-74e8a0716937 · outbound

This paper cites Dimba: Transformer-Mamba Diffusion Models.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Dimba: Transformer-Mamba Diffusion Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:02.874758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 959c7b51-e9c4-4ebe-a0ae-eb008ab7f32c · outbound

This paper cites Localized diffusion models for high dimensional distributions generation.arXiv preprint arXiv:2505.04417, 2025.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Localized diffusion models for high dimensional distributions generation.arXiv preprint arXiv:2505.04417, 2025

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:02.949999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0e7ef92-aa01-4687-b475-197cc49e7099 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851, 2020.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851, 2020

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:03.030438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6128777-f6df-4de2-8fa9-16dad29229a9 · outbound

This paper cites Video diffusion models.Advances in Neural Information Processing Systems, 35:8633–8646, 2022.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Video diffusion models.Advances in Neural Information Processing Systems, 35:8633–8646, 2022

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:03.135167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd859169-76e6-4b90-8209-e8cf3a0cff64 · outbound

This paper cites simple diffusion: End-to-end diffusion for high resolution images.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems simple diffusion: End-to-end diffusion for high resolution images

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:03.194806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e063847-bd4e-4f37-bc44-b86ab038b71a · outbound

This paper cites Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:03.277902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08bb0850-0e85-4b45-90e6-8a94292f00e6 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.Advances in Neural Information Processing Systems, 35:26565–26577, 2022.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Elucidating the design space of diffusion-based generative models.Advances in Neural Information Processing Systems, 35:26565–26577, 2022

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:10.578064Z

Source-reported events for the cited work

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

Observation b645cf7d-bc46-4f50-867c-23e4eacfc09c · outbound

This paper cites Analyzing and Improving the Training Dynamics of Diffusion Models.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Analyzing and Improving the Training Dynamics of Diffusion Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:03.434494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bebd1e0-acd6-460d-9c17-ba912cbfff7e · outbound

This paper cites Variational diffusion models.Advances in Neural Information Processing Systems, 34:21696–21707, 2021.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Variational diffusion models.Advances in Neural Information Processing Systems, 34:21696–21707, 2021

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:10.299414Z

Source-reported events for the cited work

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

Observation 4cb8ade4-47a5-4fb1-b62f-bf3235ab619b · outbound

This paper cites Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:03.640441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ea5dd0c-db55-45f7-a0e9-6de837e199f1 · outbound

This paper cites Srdiff: Single image super-resolution with diffusion probabilistic models.Neurocomputing, 479:47–59, 2022.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Srdiff: Single image super-resolution with diffusion probabilistic models.Neurocomputing, 479:47–59, 2022

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:03.774480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4064e9b-7ea8-46fc-9a1c-1d18750139d4 · outbound

This paper cites Swinir: Image restoration using swin transformer.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Swinir: Image restoration using swin transformer

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:03.819606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06a2e813-6f9f-4b89-9e13-90efd1762511 · outbound

This paper cites Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:03.927561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a5701e6-f181-45bc-a898-9aa2ec1bdd46 · outbound

This paper cites Flow Matching for Generative Modeling.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Flow Matching for Generative Modeling

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:04.003030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5c8f5ba-316d-4eb4-8641-b58bdd9492fb · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:10.107845Z

Source-reported events for the cited work

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

Observation 57e1e637-586f-4d2d-a6e5-b2baf3401453 · outbound

This paper cites FiT: Flexible Vision Transformer for Diffusion Model.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems FiT: Flexible Vision Transformer for Diffusion Model

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:04.112273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 363d1009-6dfe-40a6-965e-14b775763245 · outbound

This paper cites DiffFluid: Plain Diffusion Models are Effective Predictors of Flow Dynamics.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems DiffFluid: Plain Diffusion Models are Effective Predictors of Flow Dynamics

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:04.217028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c92f2c1-a276-4a54-b81e-3189a941db63 · outbound

This paper cites Latte: Latent Diffusion Transformer for Video Generation.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Latte: Latent Diffusion Transformer for Video Generation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:04.354011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88625bce-6056-4ed0-a307-6e4a8a988581 · outbound

This paper cites Generative ai for fast and accurate statistical computation of fluids.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Generative ai for fast and accurate statistical computation of fluids

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:09.992631Z

Source-reported events for the cited work

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

Observation b6e68f10-970d-4582-893d-f8e71c84ee6a · outbound

This paper cites Improved denoising diffusion probabilistic models.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Improved denoising diffusion probabilistic models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:04.457067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91edc3c5-4bba-4570-83dd-37785681a97b · outbound

This paper cites Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:04.504837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a589b81c-901d-4323-9d94-a48de5dbacf4 · outbound

This paper cites Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:04.587970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a1665a3-6b86-465c-8931-6e4771d1c732 · outbound

This paper cites FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:04.647521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0245646c-be32-434f-8d52-4e4de2ce99ec · outbound

This paper cites Frame invariant neural network closures for kraichnan turbulence.Physica A: Statistical Mechanics and its Applications, 609:128327, 2023.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Frame invariant neural network closures for kraichnan turbulence.Physica A: Statistical Mechanics and its Applications, 609:128327, 2023

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:09.775564Z

Source-reported events for the cited work

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

Observation 6ee1cd66-fa36-4332-9f7b-f067c7807ee9 · outbound

This paper cites Scalable diffusion models with transformers.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Scalable diffusion models with transformers

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:04.792097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f3ed02f-ed6b-4710-9d48-75676172246d · outbound

This paper cites GenCast: Diffusion-based ensemble forecasting for medium-range weather.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems GenCast: Diffusion-based ensemble forecasting for medium-range weather

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:04.920023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 251d865e-7bfe-4963-937b-566e762c8401 · outbound

This paper cites Learning transferable visual models from natural language supervision.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Learning transferable visual models from natural language supervision

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:05.050786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 532c7278-6cfd-4fa5-ab34-9485eb52c4f7 · outbound

This paper cites Benjamin Erichson, Junyi Guo, Shashank Subramanian, Omer San, Zarija Lukic, and Michael W.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Benjamin Erichson, Junyi Guo, Shashank Subramanian, Omer San, Zarija Lukic, and Michael W

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:09.541731Z

Source-reported events for the cited work

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

Observation 39211920-e5a5-4832-9597-2aba4759fa15 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems High-resolution image synthesis with latent diffusion models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:05.303902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fcc2f44-07b7-495f-9c8e-d64c0fcb3ed0 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmenta- tion.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems U-net: Convolutional networks for biomedical image segmenta- tion

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:09.368538Z

Source-reported events for the cited work

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

Observation 2216bc1e-d7b8-41ed-984f-266fbe78e46a · outbound

This paper cites Dyffusion: A dynamics-informed diffusion model for spatiotemporal forecasting.Advances in neural information processing systems, 36:45259–45287, 2023.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Dyffusion: A dynamics-informed diffusion model for spatiotemporal forecasting.Advances in neural information processing systems, 36:45259–45287, 2023

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:05.616218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1841c8b-e53d-47f7-a465-6a1741a97d8c · outbound

This paper cites Image super- resolution via iterative refinement.IEEE transactions on pattern analysis and machine intelligence, 45(4):4713–4726, 2022.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Image super- resolution via iterative refinement.IEEE transactions on pattern analysis and machine intelligence, 45(4):4713–4726, 2022

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:09.170451Z

Source-reported events for the cited work

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

Observation f828a042-32ed-4a55-b909-d4abd3641f7a · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Progressive Distillation for Fast Sampling of Diffusion Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:05.739440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d0a53a5-f0a4-4d21-8c3e-0af6c57a94e1 · outbound

This paper cites Resdiff: Combining cnn and diffusion model for image super-resolution.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Resdiff: Combining cnn and diffusion model for image super-resolution

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:08.975686Z

Source-reported events for the cited work

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

Observation 6d3b3aea-da50-4002-bbba-555ec2e7110a · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Deep unsupervised learning using nonequilibrium thermodynamics

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:05.989878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8723eb2-a29c-4d67-980c-4c139f352597 · outbound

This paper cites Denoising diffusion implicit models.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Denoising diffusion implicit models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:06.097463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24af8be1-eb98-4cfc-95a0-0e852aaa9724 · outbound

This paper cites Consistency Models.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Consistency Models

Reference 51

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Observation bfb2f54e-b012-4a96-85bb-293a8d155b4f · outbound

This paper cites Sliced score matching: A scalable approach to density and score estimation.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Sliced score matching: A scalable approach to density and score estimation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:08.824667Z

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Observation 1f504b2e-9f16-46ae-ae81-94e34ca2aa99 · outbound

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

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Score-Based Generative Modeling through Stochastic Differential Equations

Reference 53

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Observation ddf54009-18f4-4577-909c-0e851a9fb3ae · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Score-based generative modeling through stochastic differential equations

Reference 54

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Observation 2a9cd64e-5472-4a30-af05-1fbba9e30146 · outbound

This paper cites Pdebench: An extensive benchmark for scientific machine learning.Advances in Neural Information Processing Systems, 35:1596–1611, 2022.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Pdebench: An extensive benchmark for scientific machine learning.Advances in Neural Information Processing Systems, 35:1596–1611, 2022

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:06.570323Z

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Observation c9ca8fd9-3925-4e68-af9b-e6cc6361428b · outbound

This paper cites Regional climate risk assessment from climate models using probabilistic machine learning.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Regional climate risk assessment from climate models using probabilistic machine learning

Reference 56

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Observation 78b97963-b344-46e4-95ee-d74322e6e9f8 · outbound

This paper cites Sinsr: diffusion-based image super-resolution in a single step.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Sinsr: diffusion-based image super-resolution in a single step

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:06.767544Z

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Observation bdd95ffe-4599-4632-8c11-21d5aa7e58a6 · outbound

This paper cites FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:06.843561Z

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Observation 6e416ecb-1d03-4c26-b878-9804edff02c0 · outbound

This paper cites Generative Diffusion-based Downscaling for Climate.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Generative Diffusion-based Downscaling for Climate

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:06.939161Z

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Observation 7e010e2b-e353-4151-838f-cceb02f74256 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:07.011788Z

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Observation 45e468e0-aebf-484b-987a-d43dd88bca2a · outbound

This paper cites Improved techniques for maximum likelihood estimation for diffusion ODEs.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Improved techniques for maximum likelihood estimation for diffusion ODEs

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:08.601092Z

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

Observation e7d0dccb-51ac-4bab-97b8-e557e62039af · outbound

This paper cites MagicVideo: Efficient Video Generation With Latent Diffusion Models.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems MagicVideo: Efficient Video Generation With Latent Diffusion Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:07.215230Z

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Observation a13bcae2-adb6-4ecf-8712-140f4c5522c1 · outbound

This paper cites Table 5 reports performance metrics, including RFNE, structural similarity index (SSIM), and peak signal-to-noise ratio (PSNR).

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Table 5 reports performance metrics, including RFNE, structural similarity index (SSIM), and peak signal-to-noise ratio (PSNR)

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:08.388444Z

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Pith citing papers

Observation 008b0cd9-76bd-477d-92bc-4a775ba6adb0 · inbound

On The Hidden Biases of Flow Matching Samplers cites this paper.

On The Hidden Biases of Flow Matching Samplers FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:11:16.979767Z

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