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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 2026-08-08T06:32:00.761636+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

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  • 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

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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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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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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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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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

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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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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

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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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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:12.758240Z digest=sha256:a4ba9d413a7631d5bcf549db2870be2ba7b3ac7dab86b2e88f911f6a9e82ad35

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:12.817191Z digest=sha256:57f4ba53f78a771dab7a6ebeef7530a81af240e9675f640efc1a68ff2c322805

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:12.905577Z digest=sha256:a9002784ca8d9fefd594fd6f8bd1ac6ba38b84b98de0f1eb28d18ddf02412a87

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:13.185300Z digest=sha256:80bd25170b14e4136d20d929b84f073bc760650995576a9ceb61278df7c2d11a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:13.268863Z digest=sha256:351da433442ce13d455a6e2c57cc7d9020151479273c0e9efac512c7a0f16894

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:13.381616Z digest=sha256:e95e0cde324dbacc1ca6c3de69e7f44f4644504a2eead0b948c7a9a59a8df761

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:13.449813Z digest=sha256:d8e502d9e98b841534154e7b3ff6c3f76c8cbc9e3b2bb8053195a08fa45510f8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:13.656983Z digest=sha256:8299bd40f1c1db21a3d7a4417b295099e571c4edcd77c1a2a704dc56ae03a523

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:d242c34deacc48d28969910de967c080a65ced147299c638a875bd2ea4133474

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:13.768932Z digest=sha256:a8fdd223d63d62ee60b5727b28d850490157106a0c2a86221527f14d930f7e9e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:13.840544Z digest=sha256:8e581fcf0a46a0e964e485ab865d3244b37923e337b32277fbf5ff02124c68dd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:14.002511Z digest=sha256:016a7be399fbe3e8c58d762be3b86df12bcea38c0ff51b41a4537bf2f9fcf812

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:14.050819Z digest=sha256:711eb5e2e23c6a6ab7af21a3d6d1b866f02880ab9872b459b019eec4865e1267

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:14.088955Z digest=sha256:fd536376254950ec488410ac36621eedef26c3e51c439827c74024b1f400e761

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:14.215052Z digest=sha256:f5705a19db31b4acb0584f7f10172588ca5312e23e4c0afc6ea63960945074ca

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
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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:14.496385Z digest=sha256:2151a27099432c2cf3ae15dd59a54807aa5a28c422228d6d900c851776f5cdab

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:14.547581Z digest=sha256:2baed8bda1c6ad48a44f591c2a3d9df9a1c9162169a0bd1c0bb4601c7f0999ec

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:14.585060Z digest=sha256:0ff792fe87d4c8545540c5c59e135e42c23653147d97742537188ee76f66593f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:14.642444Z digest=sha256:46e27e37622d70100cef42ad505628877c3f1464d1fefa57edcd6f1ccb2ab811

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:14.790996Z digest=sha256:c4b83ecdd3e376d37fc807a9679a41a0d13ff2de479a5a3105de79cfb334e18c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:14.870658Z digest=sha256:68bee0719ab63e96a3ec43a1781f7e81ccd7e3b4c64aa8b8fa5076a64f9d3801

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:14.958000Z digest=sha256:9ea19f604d7b7180d6f72172375b37283e22e67126fa9e690a2fa64bd097e9f0

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

Unavailable: canonical work link unavailable.

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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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.

source=pdf_text observed=2026-08-07T00:31:15.515323Z digest=sha256:b4aa7d90fd1c126ab5e271f114b64bd68bacc7459a22ad5b07c6b8d255cef23c

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:15.929308Z digest=sha256:aaed98f8731b41a5dff8131c70851a16edfecad593cad94e11a594c0e49962ad

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:16.101280Z digest=sha256:06555a090871d902edb10118820a74ae2a7c840a7e223542f4f7622e9e70d6e0

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
local_arxiv, observed 2026-08-07T00:31:16.338848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:31:16.180733Z digest=sha256:9d69715ba8723b6afa3cf57025baa85c36704d21aacad2d819117fce6f1c5e51

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

Resolution
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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T19:20:54.697844Z digest=sha256:f932fc4497a586edb4a9d8e92b866ad2eed8ef3da03ec8a2f24800cf2ef43403

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 2026-08-08T06:32:00.761636+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

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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