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Paper Citation Record · LEDGER

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models

As of 8 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 4 inbound Pith citation observations for arXiv:2506.13754.

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

pith.paper-citation-record.v1
2506.13754 v2

Coverage vector

measured 86 of 86 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:31:16.180733Z

measured 90 of 90 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:25:40.167693Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:49:51.619915Z

Reference resolution

86 of 86 outbound references displayed

  • verified exact0
  • verified fuzzy47
  • unresolved38
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8bcbbbf8-29a9-4545-ae40-eb400975c32b · outbound

This paper cites Boundary element methods.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Boundary element methods

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b2e9e2d8-9997-42ea-88ca-c77f0a5090e6 · outbound

This paper cites ediff-i: Text-to-image diffusion models with an ensemble of expert denoisers, 2023.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models ediff-i: Text-to-image diffusion models with an ensemble of expert denoisers, 2023

Reference 2

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Observation ea36b973-2530-488a-b5c0-1cb7ffef69e3 · outbound

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

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Align your latents: High-resolution video synthesis with latent diffusion models

Reference 3

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no resolver link, observed 2026-08-07T00:31:09.912856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cae14b37-a36a-40a0-80ea-2560f75a73f3 · outbound

This paper cites Spherical fourier neural operators: Learning stable dynamics on the sphere.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Spherical fourier neural operators: Learning stable dynamics on the sphere

Reference 4

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no resolver link, observed 2026-08-07T00:31:09.995206Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:31:09.995206Z digest=sha256:5e540ec35903fee21c37386ec4b61e39223c222f5deea16a88592c21c254682f

Observation 2559d4a5-e2a8-4c82-a2b2-c28779dd0547 · outbound

This paper cites Physics-informed neural networks (pinns) for fluid mechanics: A review.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Physics-informed neural networks (pinns) for fluid mechanics: A review

Reference 5

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no resolver link, observed 2026-08-07T00:31:10.095588Z

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Observation 6d763fbb-84f7-46d2-b52d-a4af47d20238 · outbound

This paper cites Physics-informed neural networks for heat transfer problems.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Physics-informed neural networks for heat transfer problems

Reference 6

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no resolver link, observed 2026-08-07T00:31:10.182930Z

Source-reported events for the cited work

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Observation 44740661-1bff-4a5c-ac22-9ecc64c82697 · outbound

This paper cites Invariant recurrent solutions embedded in a turbulent two-dimensional kolmogorov flow.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Invariant recurrent solutions embedded in a turbulent two-dimensional kolmogorov flow

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:24.202102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0a58641b-55ea-424a-9dfa-4d182a205227 · outbound

This paper cites Seine: Short-to-long video diffusion model for generative transition and prediction.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Seine: Short-to-long video diffusion model for generative transition and prediction

Reference 8

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no resolver link, observed 2026-08-07T00:31:10.352108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 40607800-4c27-48bb-867f-04799ec53bd5 · outbound

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

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Maddix, Abdul Fatir Ansari, Andrew Stuart, Michael W

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-07T00:31:24.175472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a98d798e-11b0-4973-8b6b-a2426c32d370 · outbound

This paper cites Accu- rate differential operators for hybrid neural fields, 2023.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Accu- rate differential operators for hybrid neural fields, 2023

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6a21686c-a8dd-4fa4-aa24-241c8e1a368c · outbound

This paper cites Ilvr: Conditioning method for denoising diffusion probabilistic models, 2021.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Ilvr: Conditioning method for denoising diffusion probabilistic models, 2021

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:24.143983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 509fe389-04b5-4afc-98df-a7b1ae3b340b · outbound

This paper cites Mccann, Marc L.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Mccann, Marc L

Reference 12

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unresolved
no resolver link, observed 2026-08-07T00:31:10.715088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4324f6cb-a308-4daa-9de4-5f342ab3d001 · outbound

This paper cites Diffusion posterior sampling for general noisy inverse problems.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Diffusion posterior sampling for general noisy inverse problems

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:10.826946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5c3f6119-e4ab-48f5-ad30-7686c4f3c12b · outbound

This paper cites Improving diffusion models for inverse problems using manifold constraints, 2024.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Improving diffusion models for inverse problems using manifold constraints, 2024

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:24.108546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:10.912936Z digest=sha256:95ca17252cc96c6023222d4d51e553e219acf747c28e3b51af328e5e8887da12

Observation ca8cbdba-0e91-4a92-a5f4-ca5e9590cd86 · outbound

This paper cites Scalable high-resolution pixel-space image synthesis with hourglass diffusion transformers.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Scalable high-resolution pixel-space image synthesis with hourglass diffusion transformers

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:24.092671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0263e393-0478-428c-8701-0bae912ed213 · outbound

This paper cites Scalable high-resolution pixel-space image synthesis with hourglass diffusion transformers.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Scalable high-resolution pixel-space image synthesis with hourglass diffusion transformers

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:24.076905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:11.138370Z digest=sha256:8c8534cd0ca6d31f2e8d54cfd91db4a6302a383b1dbe6408882f23627f0eef33

Observation 2719d213-edca-4709-baf4-c521d06f3763 · outbound

This paper cites Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence, 2025.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence, 2025

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7d2b5a4b-c04d-45de-9443-c29fd822619d · outbound

This paper cites Diffusion models beat gans on image synthesis.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Diffusion models beat gans on image synthesis

Reference 18

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no resolver link, observed 2026-08-07T00:31:11.351363Z

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Observation 97459d33-1315-40bd-be8b-0a6ff3e6b013 · outbound

This paper cites Samudra: An ai global ocean emulator for climate, 2024.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Samudra: An ai global ocean emulator for climate, 2024

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:24.035431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 2b8dd765-ad05-42b4-a1cd-ecc61a07b91c · outbound

This paper cites Physics-informed neural networks for solving reynolds-averaged navier–stokes equations.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Physics-informed neural networks for solving reynolds-averaged navier–stokes equations

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:24.018942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5daf7215-9e04-46f5-81d9-2d2228a98fb3 · outbound

This paper cites Machine-learning-based spatio-temporal super resolution reconstruction of turbulent flows.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Machine-learning-based spatio-temporal super resolution reconstruction of turbulent flows

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:11.584522Z digest=sha256:1c266cc9c1d0252f513890b63a670b554d76a4137b1894e46f090d5bcf876bf2

Observation 9bdf07e8-44d1-4e87-88c9-738c64647097 · outbound

This paper cites Super-resolution analysis via machine learning: a survey for fluid flows.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Super-resolution analysis via machine learning: a survey for fluid flows

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:23.656653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 563b4fb3-f5a9-4b73-83ee-2a5174fdec11 · outbound

This paper cites Photorealistic video generation with diffusion models, 2023.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Photorealistic video generation with diffusion models, 2023

Reference 23

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no resolver link, observed 2026-08-07T00:31:11.757103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c3f0ced4-e1a7-42a6-9117-7f268d899003 · outbound

This paper cites PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs

Reference 24

Resolution
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no resolver link, observed 2026-08-07T00:31:11.840000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:11.840000Z digest=sha256:972e270f5c723cd0ea4a5a0327458d9d5b023c0ba85f1f496b8a6048e3c1ff4b

Observation 45414c42-fcaf-4d0e-b39c-9aacb22eae77 · outbound

This paper cites Latent video diffusion models for high-fidelity long video generation.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Latent video diffusion models for high-fidelity long video generation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:23.381921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation af914e9c-5cfd-49ee-b960-a4b9f68d5104 · outbound

This paper cites Poseidon: Efficient foundation models for PDEs.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Poseidon: Efficient foundation models for PDEs

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:23.256448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3a289235-4732-4084-a007-3028fc99abec · outbound

This paper cites Denoising Diffusion Probabilistic Models.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Denoising Diffusion Probabilistic Models

Reference 27

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 82d62f99-da33-4d9c-82e9-065784be04cf · outbound

This paper cites Classifier-Free Diffusion Guidance.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Classifier-Free Diffusion Guidance

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:12.197026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 57821c2c-a7b1-4916-954e-41ee18a31005 · outbound

This paper cites an unresolved cited work.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Unresolved cited work

Reference 29

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:12.260137Z digest=sha256:73bf3368ba6831fac5377d79e51ef13ee66303dd48bd45c2582250a475df920a

Observation 8aa71da8-544b-432f-9de3-3660d72e4455 · outbound

This paper cites Diffusion models for video prediction and infilling.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Diffusion models for video prediction and infilling

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:23.114684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 53a21bb1-98ea-46fa-8982-bc76b102039c · outbound

This paper cites Diffusionpde: Generative pde-solving under partial observation, 2024.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Diffusionpde: Generative pde-solving under partial observation, 2024

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:22.898591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 42d6d777-7647-4a8f-bc4c-e8811c31fab5 · outbound

This paper cites The meshless finite element method.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models The meshless finite element method

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:22.735709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f3e420aa-1e3a-4e85-bf6b-1f7067409ffc · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Elucidating the design space of diffusion-based generative models

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:22.587082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8ac9794b-8fe4-4edf-b754-e97c808ee852 · outbound

This paper cites Physics-informed machine learning: case studies for weather and climate modelling.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Physics-informed machine learning: case studies for weather and climate modelling

Reference 34

Resolution
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no resolver link, observed 2026-08-07T00:31:12.604566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:12.604566Z digest=sha256:3c96c4c94dacdf412d965838593292210aada66f78d0d59a58f32add5affe939

Observation c26a16ac-4f2d-49a3-baac-b89b3a47da7b · outbound

This paper cites Denoising diffusion restoration models.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Denoising diffusion restoration models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:12.675491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:12.675491Z digest=sha256:da5044f148f58149c4c494f375e080427100138b7489feeecfa0dc31e9f51cb6

Observation e5843dfb-afc6-4e6b-9d17-daca90cc4551 · outbound

This paper cites Unsupervised deep learning for super-resolution reconstruction of turbulence.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Unsupervised deep learning for super-resolution reconstruction of turbulence

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:22.449348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:12.758240Z digest=sha256:120044e02b0989074983e763d0e85b33e519274549408d880c74710cea0a5235

Observation c9618419-1b14-4bcb-a36b-c7fa434e463b · outbound

This paper cites Solving seismic wave equations on variable velocity models with fourier neural operator.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Solving seismic wave equations on variable velocity models with fourier neural operator

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:22.268454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:12.817191Z digest=sha256:5ce060224f06e7796743595e86c4275af14ae4d802f45305828028c8c93e8e20

Observation 71d931f9-19f9-4c4d-81e2-da6d4b099b06 · outbound

This paper cites Fourier neural operator approach to large eddy simulation of three-dimensional turbulence.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Fourier neural operator approach to large eddy simulation of three-dimensional turbulence

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:22.120103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:12.905577Z digest=sha256:36f7f32d39aefd4d059f438fe18f54c74a720a88c5a411f5dcc199bd3624c31e

Observation ac678163-50c7-4bd1-b903-c92bf719f10e · outbound

This paper cites Transformer for partial differential equations’ operator learning.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Transformer for partial differential equations’ operator learning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:12.971139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:12.971139Z digest=sha256:63779f771dafb5e15e050ba32e211250db79d542a4ba5072475b4f4d7e0fb059

Observation 20bf47e0-aeb7-417d-9ca4-f7f16255671e · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Fourier Neural Operator for Parametric Partial Differential Equations

Reference 40

Resolution
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no resolver link, observed 2026-08-07T00:31:13.084202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:13.084202Z digest=sha256:3388cf8bbc9159f1b73f55165b0e408ea992e0fd2defc27eccbc84c4bd228553

Observation ccd8bce9-c958-45a6-b9c9-195e2833a623 · outbound

This paper cites Geometry-informed neural operator for large-scale 3d pdes.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Geometry-informed neural operator for large-scale 3d pdes

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:21.979153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:13.185300Z digest=sha256:95cdd670b17db96db069b2183843fdf8f4c4e0f2c123ba43438df29dc99e82e7

Observation 00f8b3c9-c597-452d-908d-7931097decca · outbound

This paper cites Physics-informed neural operator for learning partial differential equations.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Physics-informed neural operator for learning partial differential equations

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:21.809607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:13.268863Z digest=sha256:6a40920b3c7c6de393fc5e5ba101fbcd3806c75d787e80a3ed4ab661b09c6a35

Observation 0e502432-c9b1-4b9a-b84b-1d649d00db5e · outbound

This paper cites Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:13.342602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:13.342602Z digest=sha256:45e921c22e4b561cb0636ca0eb221ff713c15abe4fe27262c842b5e98cc0757e

Observation 4a392325-ac03-41ba-a72c-76e6c1a34d97 · outbound

This paper cites Vdt: General-purpose video diffusion transformers via mask modeling, 2023.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Vdt: General-purpose video diffusion transformers via mask modeling, 2023

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:21.633848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:13.381616Z digest=sha256:ba8f6f42b9b9672d19248690e6afb56d9ce0468a37af62ab76d0735f27e24a5e

Observation b3c7e8bf-6171-484e-a4ae-219bff4b9506 · outbound

This paper cites VDT: General-purpose video diffusion transformers via mask modeling.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models VDT: General-purpose video diffusion transformers via mask modeling

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:21.482274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:13.449813Z digest=sha256:394491c3a28979908d06bbb12214ad0bf5385698165b6c31d7f3613d231d3e5c

Observation 64f1ec3a-cb59-46e2-a6c6-fe3d34e6836d · outbound

This paper cites Learning nonlinear operators via deeponet based on the universal approximation theorem of operators.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Learning nonlinear operators via deeponet based on the universal approximation theorem of operators

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:13.503400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:13.503400Z digest=sha256:4b34692ce45730041ef61a4b9062217fa364f0cd228e44bbc78c230b6db4e1a5

Observation 48492e47-4615-4100-8fa2-e7c31aa385a4 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models, 2022.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Repaint: Inpainting using denoising diffusion probabilistic models, 2022

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:13.594338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:13.594338Z digest=sha256:8a06b4fa78fc5390203b2da39d66accc56a7f224a8d73f6cae087771125d8dd8

Observation a1b9b367-ec97-4c28-9f3e-f147db8c1787 · outbound

This paper cites Physics-informed neural networks for high-speed flows.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Physics-informed neural networks for high-speed flows

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:21.319615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:13.656983Z digest=sha256:c3348635496c0c44f1dbb6202d057ed165da8ee8f5ad8eb75306d38b18b7b827

Observation 43445bb5-18b0-4f31-8726-987570c5a07e · outbound

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

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:13.722886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:13.722886Z digest=sha256:2b376f4b790ea8e258d6e9998f48a2b9d2d6f65fab372af37bc0c038f8119d29

Observation aba00f8d-bfb0-4267-8c18-39986529aecb · outbound

This paper cites SDEdit: Guided image synthesis and editing with stochastic differential equations.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models SDEdit: Guided image synthesis and editing with stochastic differential equations

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:21.139714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:13.768932Z digest=sha256:6d477b371999711d052adbfad013e9fe1c5b3a9ecf16e24d204649f8c655d140

Observation d89284c5-ab11-4e74-aa7a-267be9d4bbf6 · outbound

This paper cites Physics-informed neural networks for power systems.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Physics-informed neural networks for power systems

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:20.953262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:13.840544Z digest=sha256:175d6d7d93c3db20dfb84543f9b1807acb8f57650b64b2965a41fb9800b6c5a3

Observation c1530582-0ccb-4448-bfe8-d3a7fa1a337d · outbound

This paper cites Neural Inverse Operators for Solving PDE Inverse Problems.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Neural Inverse Operators for Solving PDE Inverse Problems

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:13.889238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:13.889238Z digest=sha256:391c82b7c04a09391e174f08af340aad0050030a33ca7b133c0cece046a860f1

Observation b179f7b9-e9ad-4b40-8773-f360907b4bc1 · outbound

This paper cites Hierarchical Transformers Are More Efficient Language Models.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Hierarchical Transformers Are More Efficient Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:13.942997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:13.942997Z digest=sha256:b7072073f8b05b41d97027a58b0881066ecf4b4e0ffd61f277ceaed03eb4b5df

Observation 2dbc7361-4a75-4577-a1a7-bc8f2e37e16c · outbound

This paper cites Introducing sora: A text-to-video model, February 2024.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Introducing sora: A text-to-video model, February 2024

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:20.683116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:14.002511Z digest=sha256:37c78fb040e4a5082915a90d4101aa380230d9b076da8185896e612c2a1b2398

Observation f704e468-df51-4ae0-a713-c215735912ad · outbound

This paper cites Linear attention coupled fourier neural operator for simulation of three-dimensional turbulence.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Linear attention coupled fourier neural operator for simulation of three-dimensional turbulence

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:20.378211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:14.050819Z digest=sha256:bdc061846d2fad415667840d31b172871565d4a7a812a13c72f4b9d2bbd4ba3c

Observation 08e65e0a-f2b6-4f3e-ba88-93fa30cb353b · outbound

This paper cites an unresolved cited work.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:31:20.170907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:14.088955Z digest=sha256:bc622634f10c11b1be55c67168c37fb5209008e52a99a90dd82e401a319c3038

Observation 971c9b95-9f96-4ace-acfe-071ae1611516 · outbound

This paper cites Film: Visual reasoning with a general conditioning layer, 2017.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Film: Visual reasoning with a general conditioning layer, 2017

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:14.172583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:14.172583Z digest=sha256:94ed56c95539f94c2fd558ee9e37506a2c7e8ae3d729f47a0d8d595a03968da1

Observation 90a50d84-7b6c-47ca-b038-b6fb6ce2d951 · outbound

This paper cites Numerical approximation of partial differential equations, volume 23.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Numerical approximation of partial differential equations, volume 23

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:19.906224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:14.215052Z digest=sha256:5b1bffe752e2f54b8e18d70271704327b1d0dc94bc76bde1e984258b9a57fa63

Observation 1a29293a-4e5e-457a-90f2-7a63a2ccd5c4 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:14.241470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:14.241470Z digest=sha256:ad30ecaf8b03c3d91cc51cab408226cd68260a8845feff1653d4b5056bc69b01

Observation 377e338e-9198-4802-b12f-a3d565c78891 · outbound

This paper cites Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations

Reference 60

Resolution
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no resolver link, observed 2026-08-07T00:31:14.307180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:14.307180Z digest=sha256:5f9463930ff8185a819898e99f9885e16bf0e1d024dc9577d69a644603f61b31

Observation 1436d300-f244-4ffb-9d40-dcc2b59469ea · outbound

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

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models High- resolution image synthesis with latent diffusion models

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:14.374248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:14.374248Z digest=sha256:479ee736e0f08a27bdfec3fdc7d963041bec36eb2e39dfbbc8025ded3b51d56a

Observation a4fdb304-c255-4411-abf0-d700c2bf4677 · outbound

This paper cites Lee, Jonathan Ho, Tim Salimans, David J.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Lee, Jonathan Ho, Tim Salimans, David J

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:14.446064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:14.446064Z digest=sha256:b765cca57538c51382ff6713ce39f14827a8b6dea923c2eaeaa1a6d3cfa501ca

Observation 0ea54ee0-d65d-4ef5-a7b4-6959ad8726ae · outbound

This paper cites Fleet, and Mohammad Norouzi.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Fleet, and Mohammad Norouzi

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:19.709499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:14.496385Z digest=sha256:31ddae3784b94bee41ff6afbad052cc6c7836d98f691fdc9ba505e01230376be

Observation ba6acd7c-eb48-4e9e-9fff-d2d3981b630a · outbound

This paper cites Operator learning with neural fields: Tackling pdes on general geometries.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Operator learning with neural fields: Tackling pdes on general geometries

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:19.558441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:14.547581Z digest=sha256:6eea7a0b0dd9a604108c671553e5caa82e07f03a4e0631f8ed48ead5c9b15d1f

Observation f2da318e-5e94-48d4-8b2d-739f5f0fef5c · outbound

This paper cites Pird: Physics- informed residual diffusion for flow field reconstruction, 2024.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Pird: Physics- informed residual diffusion for flow field reconstruction, 2024

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:19.336979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:14.585060Z digest=sha256:38268c71e203d1717d7d5f79b2af8a88caed0b6a8bddb33502dc1e1c56030e47

Observation d4d70ff6-93f6-4441-8e46-d8b61a2d3279 · outbound

This paper cites A physics-informed diffusion model for high- fidelity flow field reconstruction.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models A physics-informed diffusion model for high- fidelity flow field reconstruction

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:19.071698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:14.642444Z digest=sha256:0e1922103c879e4a7347e577b521eb02bbcaf6225fc5e50f5e08fa1331c7b38b

Observation c7c38100-6cea-4aee-a933-d68bf7531fa1 · outbound

This paper cites Weiss, Niru Maheswaranathan, and Surya Ganguli.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Weiss, Niru Maheswaranathan, and Surya Ganguli

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:14.712914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:14.712914Z digest=sha256:e6c1cdc0241ce99c1330a2a6cd8d3536cc6776566249eabb1a414800eb93361a

Observation 02f5ad91-b7e6-4ef4-84d8-0a9018cff620 · outbound

This paper cites Partial differential equations and the finite element method.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Partial differential equations and the finite element method

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:18.799847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:14.790996Z digest=sha256:8216c1a8d28b9d3284500cd79db127b3352f7389ea75a7de482456c90db48f8b

Observation 0fe3e838-1137-43b5-8b07-f2a06d05b871 · outbound

This paper cites Solving inverse problems with latent diffusion models via hard data consistency, 2024.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Solving inverse problems with latent diffusion models via hard data consistency, 2024

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:18.562114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:14.870658Z digest=sha256:86145e4a45b15c64801810fd80c5040dc5e2d082430625dbca9d5bfba2769152

Observation 178dc8db-b140-4aa0-b361-1d0fe5cab8ab · outbound

This paper cites Generative modeling by estimating gradients of the data distribution, 2020.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Generative modeling by estimating gradients of the data distribution, 2020

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:18.330507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:14.958000Z digest=sha256:05770cabab0ee63fd77477f0c897ad5620345810bbf0edad2da4a46cd553b47c

Observation 0b6eaaef-359d-494a-a8d1-e944b7155237 · outbound

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

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Score-Based Generative Modeling through Stochastic Differential Equations

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:15.020084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:15.020084Z digest=sha256:8a42345c35f062f117af21c2b8b11e397e5ec7e5afbd8ae47edd123bf7d749f3

Observation bf6165c1-1aeb-4a5a-abe5-f25035e40225 · outbound

This paper cites Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:15.120587Z

Source-reported events for the cited work

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Observation 8bb62f70-1b60-4547-b759-3e0413b3bec5 · outbound

This paper cites From pinns to pikans: Recent advances in physics-informed machine learning, 2024.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models From pinns to pikans: Recent advances in physics-informed machine learning, 2024

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:18.147649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 42703a76-39fd-4eec-93be-90fd7cbc923b · outbound

This paper cites Mcvd: Masked conditional video diffusion for prediction, generation, and interpolation.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Mcvd: Masked conditional video diffusion for prediction, generation, and interpolation

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:18.020109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 914ea5e5-64ce-4c79-b70f-706bf0261528 · outbound

This paper cites Pin- neik: Eikonal solution using physics-informed neural networks.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Pin- neik: Eikonal solution using physics-informed neural networks

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:17.872183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9fd194a9-c56e-4a35-88c1-da822f92a52f · outbound

This paper cites Towards physics- informed deep learning for turbulent flow prediction.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Towards physics- informed deep learning for turbulent flow prediction

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:17.699332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c90c9606-880b-4e52-9507-704a43ba4c02 · outbound

This paper cites Videocomposer: Compositional video synthesis with motion controllability, 2023.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Videocomposer: Compositional video synthesis with motion controllability, 2023

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:17.492052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3d8e5322-8bec-4151-8f0d-f734a1d1df37 · outbound

This paper cites U-fno—an enhanced fourier neural operator-based deep-learning model for multiphase flow.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models U-fno—an enhanced fourier neural operator-based deep-learning model for multiphase flow

Reference 78

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unresolved
no resolver link, observed 2026-08-07T00:31:15.515323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 518ce2d0-fb4f-4517-9104-89bc95ed48ef · outbound

This paper cites Inversion-free image editing with natural language.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Inversion-free image editing with natural language

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:17.218228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b7ceae2a-5917-4095-8043-e525fe1fc201 · outbound

This paper cites Diffusion models: A comprehensive survey of methods and applications.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Diffusion models: A comprehensive survey of methods and applications

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:17.091984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6b308817-82b0-471f-8695-ec30c7a5f7c4 · outbound

This paper cites Adding conditional control to text-to-image diffusion models, 2023.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Adding conditional control to text-to-image diffusion models, 2023

Reference 81

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unresolved
no resolver link, observed 2026-08-07T00:31:15.730503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 163de704-854d-4b25-a06e-affd2f05feb8 · outbound

This paper cites AVID: Any-Length Video Inpainting with Diffusion Model.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models AVID: Any-Length Video Inpainting with Diffusion Model

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:15.814389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:15.814389Z digest=sha256:f37bbfda218ae09d9f3294f339032ddcc45b05c7e2385f55760df6da9436fac9

Observation 10c5441a-e9b4-47da-b5d3-058e8d945bba · outbound

This paper cites Avid: Any-length video inpainting with diffusion model, 2024.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Avid: Any-length video inpainting with diffusion model, 2024

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:16.854522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:15.929308Z digest=sha256:024cdfc612dcc917af91035080428153562e1976cb9966c1a403f9e96c06c14a

Observation a91791fd-5ab5-4630-8b5b-7abf9be6257f · outbound

This paper cites Magicvideo: Efficient video generation with latent diffusion models, 2023.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Magicvideo: Efficient video generation with latent diffusion models, 2023

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:16.009897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:16.009897Z digest=sha256:8cd611cfeee894f7d57cc22b73b92b861022ad47074f061dab9601a6fd5a8244

Observation a53ea09b-91a9-47ba-ac65-a3ca5bb0cfc0 · outbound

This paper cites Spatially-aware diffusion models with cross-attention for global field reconstruction with sparse observations, 2024.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Spatially-aware diffusion models with cross-attention for global field reconstruction with sparse observations, 2024

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:16.697967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:16.101280Z digest=sha256:14c5eb78f5b277f998f1e18e5bb086921270542ed4ccd3392f05b5962c25a4bc

Observation 7f4125fa-1d43-4eda-8b30-80c057b28f2f · outbound

This paper cites Neural Stress Fields for Reduced-order Elastoplasticity and Fracture.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Neural Stress Fields for Reduced-order Elastoplasticity and Fracture

Reference 86

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malformed identifier
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:16.180733Z digest=sha256:f52a4d6352022fc3cfe8d5f6f7a775bd13bbc88f906a3d35e63253beb5f3bf60

Pith citing papers

Observation ae755782-a79f-40f1-b8e7-300659b40372 · inbound

Pretrained Video Models as Differentiable Physics Simulators for Urban Wind Flows cites this paper.

Pretrained Video Models as Differentiable Physics Simulators for Urban Wind Flows VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models

Reference 23

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verified exact
arxiv_id, observed 2026-05-15T07:05:11.462371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0aa84736-be7d-41c5-a136-ae56fea14559 · inbound

Recursive Flow Matching cites this paper.

Recursive Flow Matching VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:23:53.862112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 229cb653-43a2-445e-9625-72b4ed0eedd3 · inbound

Error-Conditioned Neural Solvers cites this paper.

Error-Conditioned Neural Solvers VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models

Reference 32

Resolution
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arxiv_id, observed 2026-07-04T13:49:51.621588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 136f6792-5b9f-4d5f-b6ee-345d9c0e1342 · inbound

Image Editing Models are Numerical Solvers cites this paper.

Image Editing Models are Numerical Solvers VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models

Reference 28

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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