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Paper Citation Record · LEDGER

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models

As of 22 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 2026-08-22T06:32:14.747728+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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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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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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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:10.609636Z digest=sha256:56bd3744815db40738e155902c344608b47145dfc577202f598c458b94919025

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

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:10.912936Z digest=sha256:ed7a1d75e06eb27801dc08063feb5f019a1c1b2fa175339daad39f16ef5d8247

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:11.023467Z digest=sha256:ba4b05cc7dae172d6de3ca3088b14d49a7ae4f5cc2e348e2ea6786701ba1b53a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:11.138370Z digest=sha256:97c54b0ff8731f9740fe2dbddd0c0d3e6169fef69c4c1cfa65b33f51ccf90972

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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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
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 2026-08-22T06:32:14.747728+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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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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

Resolution
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=sha256:8d1f48caecfb64711a2e3272aad362742e51e7752c6180f826f163b5e5e94df2

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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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=sha256:98634ebb71b9311e17202db4b86715217b0469bfa04a35d9adedb9d52a67ec32

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:f2b020e2bfa65ed80f598d968b77e8be3bec8334d6b929e9c46b14c788c1b6bf

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:12.758240Z digest=sha256:1fe9d24e2df10d7e87fe12d50c05a09f17ed5bf867af1d34bb39d7e46c23d04d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:12.817191Z digest=sha256:1043353313e91c49f5a343ac1dd6ee66bffa97035b34e3fa1b93de572a8a7162

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:12.905577Z digest=sha256:66452f5b7f50a8c0d399405e1ab031b1dfd39bac24a27e566e66b8135a2abfb6

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=sha256:7c54f5d127bf2fcc89898afe5c84509cf540a5bff9a530e8866f3c6910c9d994

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
unresolved
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=sha256:40e908d06d613c529dce5e2da7e2b88ce9098f932ae66b71492777d2383a8b10

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:13.185300Z digest=sha256:8a9e9fdb8b8cceebdbd4f3e458380cb5d103454ee4525c7dda8465904a1d91fc

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:13.268863Z digest=sha256:ced1a67772c4a73eca6e71bf77d52996ba4dea84a41adef1ad41774bd42afc75

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=sha256:2fe94c8bbf39a598bbed660cc640780b3b4f56e21f3605a54a4ffb11cc9b1819

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:13.381616Z digest=sha256:1163b50e4d891a4e73cbad8d13f818e94e27e955153f086831b404f0c5d66ccd

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:13.449813Z digest=sha256:1a516b22b4a2c0ec7438a93ece3ec0b54d275f60582e305f5ca1909ddf12aa9e

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:d72abea04164c9b059759044705795329dd4f9159df9a3627532e92f10cd7b9d

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=sha256:8b0dbac931f5793a404ee2b2f249590efaf85a41031d2bd0664d43d908e02773

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:13.656983Z digest=sha256:ccfd7101d26b0f4df43885cd6fca160d786a00a938d74bc96c11bbbc8111f5c6

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:f698e0ca5fbe3a7494bbd1ae7c642897d2e17158070bd982a61afd0e397c6c04

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:13.768932Z digest=sha256:3e27276b897e60edaa2ffc0a47e611dc4518da9765117278be11b154c57b2881

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:13.840544Z digest=sha256:2af3bcfd7c78e2b1acc167099e1a3ae060b7393b3356966619c48f4001827353

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=sha256:4174d7764a17c2c6f89bf07d4d049d653868b99f9eddb0d3da62e564b9e07efd

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:ca1827af7d31c90fd06cb930411a1a387495f4f514d68f4b9d8b05241595e966

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:14.002511Z digest=sha256:499c8ac2bb6a3c728e31bed1e700389d7f84adf5304a35eaea8597108f5da9ce

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:14.050819Z digest=sha256:a998bea15287d59f71c6ae800d9364154d268ec496b6bbf2910ded76f7641349

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:14.088955Z digest=sha256:8da98291137f5c6e55b5b8692d2a8256481edee451eea10e997e8b528bb2620d

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=sha256:3a1f1d720d346368d16fe87238387d7c6f4eafdde3adcb3af8127664d531311c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:14.215052Z digest=sha256:4b016b84c550f7c128db0d2ea3c7c36e18f7397bb46087f5186016e2ea13a78e

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=sha256:2e992c2325bcecd2abe5a0acd7bcaeceda98ac02156f544f82c935346a2733a0

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:abae6f2ed111b79f99e4f23446b348ba9f1dfb0897a1b5aa85c74775fad45072

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=sha256:27fefbd0ab918bfdc25819fded743f852c1f449b5ab4836406e5a3f4e4e348d0

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=sha256:977db6aad89ebf81003827b13b10f4944836ca02e0e5da4c622b138ff62002a1

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:14.496385Z digest=sha256:c6e94ec464567f8ddd454207f877fe2ad083b22dd281a9ef554b4f250b37fc36

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:14.547581Z digest=sha256:86217695cbbdc0cf4971c23e7404046e395bd8afe1be9cfb1f70d65d2188afdc

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:14.585060Z digest=sha256:43a095b450aaeb3467cfc099c4240c65b94c60551062053edef4828cb7983672

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:14.642444Z digest=sha256:8c0ffec5a670c042f67155068c8b7887a01b8617d0a650465821cfcd97cecc77

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=sha256:260a2b91b5931750a28f2c906bb30ed757961f6ce5eeb29c1e724d39c66369c3

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:14.790996Z digest=sha256:d3255bc9a090a73b15b0c48919317da8b392145cff4edf9e664ce4ad94d4cd94

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:14.870658Z digest=sha256:2d086b41819871cfbe7a32e88c19adfe28f392d0f73c1634f37cd34c325112d6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:14.958000Z digest=sha256:a7c1302a50d6be67930c8b74cb0c6c2135052e396958cbe47f29121ed995196a

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.

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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.

source=pdf_text observed=2026-08-07T00:31:15.120587Z digest=sha256:9ea643657df93b68bb8bef9ce7705a92a41e6d313f23d348da379b14027ac2f1

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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:15.385685Z digest=sha256:54e2c8fb7e3216172db90bfdaa358bb608a680b3deeee7a5b88b1a668b1809ce

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:15.437150Z digest=sha256:625524d3a16f58b4cc24a216d19273e7dbf158c697380c5b767e58a1fb3c0107

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=sha256:95e5d8010a4ede8caf1414d19c803c02be22adf233a0c9be92cdc829c798c480

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:15.578939Z digest=sha256:a644b4b02af978e54eb6d7b3b984bdd537fc13077ff770a26daa5442e096e1ea

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:15.679348Z digest=sha256:8f00d3ef9bb8dec474af23d4b1c40d5d10851b9064a571847652af5c9a3ca7d2

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.

source=pdf_text observed=2026-08-07T00:31:15.730503Z digest=sha256:c7f9728521a7dcd6004b76223b8aac5c364cbbe11f7ac41a621e5b27c54e6466

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=sha256:8e9110f183384b803a6d000b3a68f18cb4b90773ce2f5c5dc72b8dce54ea0a50

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:15.929308Z digest=sha256:bc52ce927d56a1acf4f88226e9efce4bafa866a53f259811b8f88526414b1a12

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=sha256:8bf69d6849976083faaa856108ae45a74ad6f49ce25f6e4d4459dfad28fdd47f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:16.101280Z digest=sha256:0df43ba2405f5709b764ca34cab2b98815b259718bc41a0a3eafee3206666bff

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:31:16.180733Z digest=sha256:58a1eaa1e0a55583a58762ca9d0482705c97c031900fd0314a97c8d09a2ccfb0

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T07:01:08.953346Z digest=sha256:143e5fb5e726f15198210b8920f16f5ef1b1a148eebb904b2d50c603266b73b8

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T19:20:54.697844Z digest=sha256:39f7b9e5fe930c58b63996fd55188ac0499af506aaf9b294a80052d08633194e

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
metadata mismatch
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 2026-08-22T06:32:14.747728+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
no resolver link, observed 2026-08-01T14:25:40.167693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:25:40.167693Z digest=sha256:dde9bfa46b0828239aa2d2df02663a74d9e9071e4e9c966f1202ecb78d2dab06