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Paper Citation Record · LEDGER

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models

As of 14 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 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

measured 0 of 1 external citation measurements

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

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

Reference resolution

86 of 86 outbound references displayed

  • verified exact0
  • verified fuzzy47
  • unresolved38
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External citation measurements

No source-named external measurement is stored.

Outbound references

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

This paper cites Boundary element methods.

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

Reference 1

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no resolver link, observed 2026-08-07T00:31:09.718458Z

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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no resolver link, observed 2026-08-07T00:31:09.817773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

Reference 3

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

Reference 4

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:31:09.995206Z digest=sha256:5a2b2893000ac7342c3fcd7e842a4f12891f545b4f0fa55fb6fc074f5267d777

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

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

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

Reference 5

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

Reference 6

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

Source-reported events for the cited work

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

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

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

Reference 7

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+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

Resolution
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 2026-08-13T06:32:02.005865+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
raw_fallback, observed 2026-08-07T00:31:24.159914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

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

This paper cites Mccann, Marc L.

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

Reference 12

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

Reference 13

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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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

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

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

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

Reference 16

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:11.138370Z digest=sha256:83a7e87ce8c8d7a6f739569a9aa14954e35ef07a9d87533dfbc30b53e714e182

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 2026-08-13T06:32:02.005865+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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unresolved
no resolver link, observed 2026-08-07T00:31:11.351363Z

Source-reported events for the cited work

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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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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
raw_fallback, observed 2026-08-07T00:31:23.865522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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

Resolution
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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.

source=pdf_text observed=2026-08-07T00:31:11.757103Z digest=sha256:ac4d6e60924eedb1158831c3d23beb0b10d98250ac4a8c46027c0a3c61a09eaa

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

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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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
unresolved
no resolver link, observed 2026-08-07T00:31:12.108507Z

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
no resolver link, observed 2026-08-07T00:31:12.260137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:12.260137Z digest=sha256:33f8d6c1fd50ebc4b79de272bdc8f0ec5b17a34fb05bc84536e981c00fa1367b

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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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
unresolved
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=sha256:6247317a8b08d8a792748348596f95787b4a47c75a50eac48543acef5dbeb7b6

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.

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:12.758240Z digest=sha256:b8c3e988a29393ecfdd587f9e913817c1db179df0c7e7800e96d481bfa2743e9

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:12.817191Z digest=sha256:cb02d3bdd83c67abf9dfa0ee61811bd7ec8d226672c97e9d96c67b62993befbb

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:12.905577Z digest=sha256:51346e9b77ce63d03667d5097af304cfbba1ea1d03ec8d7d3412a2ea747fdcb8

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

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source=pdf_text observed=2026-08-07T00:31:12.971139Z digest=sha256:5686cfc85da02fc431b4e1e3c110c74aebe7cdbc06e567af2ee5201c75749ae1

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

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source=pdf_text observed=2026-08-07T00:31:13.084202Z digest=sha256:36871b21d558ae703a18a2559db07e170ab67b053ed2fd025372855cd363edc5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:13.185300Z digest=sha256:9e3f092ec91c6155051463600a707769ac3996b9af84c6d697f9ea775357f9a6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:13.268863Z digest=sha256:295ed2b457e555aaab26473730b37a483604be4ba7739fcda4bd072ae0f64172

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:aa518f47ef82697e1755f4d004e23c4e5312179b99998741c4e77f645d9bef78

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:13.381616Z digest=sha256:25d4b1ad778a1d350fa5f10a18e22936bcf7fa1214b02c363ec147bba977fdf3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:13.449813Z digest=sha256:a8d035df9807afda968b73be6be9fb763891de67b0b8a8ae531e385de8381b1d

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:a1ed7c71347443060b7321fd76c5651366e5381349248b18f38cb16205462ae3

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:cddefc472f63c7a0b7be535ffa3179f6ac32fc0bb389a8d99ef27f93b47ee8dd

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:13.656983Z digest=sha256:4ec1c27bfe1355eb48263b0e58650afc836a038d9602a26e6864dd18e3adee71

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=sha256:98c279b09bc632a491298325c287d85812f800ec55cd42b43ebc6473715a4c1a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:13.768932Z digest=sha256:db695c4f62fb64ab0e1711c1d10ac912e38a13a2ac6c94b55b379e12d26b9666

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:13.840544Z digest=sha256:54d775f67fa3b2c60ac6e096522642991837922a7a89d0860b825f3f44acc7e6

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:fbef891286f9624ae8a6918a6e3a788e0659991f14fd51a5f842a18b5ec1c194

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=sha256:11a654c557082b174b23df9c728b379e93e25d1acda748c628effffa7f5d7ddb

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:14.002511Z digest=sha256:45e6c60bf60cd9efc60ce19a4fd1509e7537d1e4aa7e78dbc5854361477a1371

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:14.050819Z digest=sha256:334f32fbc11523a964976f037b76c3fddbd295dfdfdb139a56e95677c46ba5a1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:14.088955Z digest=sha256:5467a5809108523962d0e18a978db3ac8c74b012ca6d1751e3553ae74ae40342

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:bcdc1c338f15e3f0cc072e6aabf425f1a349cc159e71ece96adf1837c9201d8e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:14.215052Z digest=sha256:13b0dbb08b93fc366d602671976a7456bb69649360afbdbb5be5f81ccddfed20

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=sha256:6fc8524368afd5e8a1961d1fafe58c57113544477a0facb3be8e0bd93ee9934c

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
unresolved
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=sha256:6eaaa126c3d411574cd22f19f4313fcca9f9699dfaaf73f28ee20ec1b811525a

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=sha256:942acd67e59ad8e61947ce80412962d1c68821eddf303370178302cf256bc452

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=sha256:5cb9210901b5754f420c69844abdf616ae529c24491a485bd571820d066fc7db

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:14.496385Z digest=sha256:10888abc5f80ab37859c45291d0812f27fa36f19d39c006bf710333f5872c2f5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:14.547581Z digest=sha256:58672d2d750c4fc1edb601f3eb8e63aa0ad6af47e27e027e04db3bfb711c5550

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:14.585060Z digest=sha256:0da27072b29c3d802bbc595f5f68d37216faa45df44049ff3f80940da2a0a898

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:14.642444Z digest=sha256:cf60486dd43437f7076e325d223dcf043abca6297d696d14d2bd39a0285cf38d

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:b97f276521674fc8677569d0170a4b4aaf498f44743ec51535ebb7930078a3de

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:14.790996Z digest=sha256:1b87fba741a875410c1b7cbce3ea3414e6ea3b1417fdb5b2625dc0a6ac933115

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:14.870658Z digest=sha256:f336892ac39aba6d3faf546c82bdf7c5038614b5d43aa9cdad47c82ff9c064fe

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:14.958000Z digest=sha256:6a6affeadf98a77fd08d7ff5c4aa5872671d00d0628ae2713982ce5e32c085aa

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:bc1f6aedcb71c091f70f7706ed4042a2d0e1c3ceeda2de09cac84cb2597aa731

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:cfb185baf9482e06c41c9bb8a197073d151432e1cb8a22dc480a83e4f6a0e12c

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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:15.246575Z digest=sha256:33ed981222cf7f057947ca390c024c881d0d63c8660c282c5ed4f68aa9016433

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:15.308385Z digest=sha256:6285336fd956bb47b2a012530bd83413b464ac8d7d6f21e20cefd436c99595dc

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:15.385685Z digest=sha256:5950a2790992032b7b50366ffb53dae23a14cc902f32d9b2cac3cfa1160875ec

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:15.437150Z digest=sha256:9892364c3d073728f6f2bb47b635a51eddcd31db8a367f10dd4157e503d4e32c

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

Resolution
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=sha256:6c3f95e2df3b96e780ed0b1d6b6f829aaaba36503b97684b5c0995dafb88947d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:15.578939Z digest=sha256:fbf765f5caadeb19f69527b4233739375e1b3a774095e3c52044979bf1e869ba

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:15.679348Z digest=sha256:d457e7b74306e4f7e1a81328383e90b3661f62cf149cb288601d8d6f9ea6d6c1

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

Resolution
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:d5afd68e4c8d6e6b5b47134535bfc2688ab786d4ebb00dd1d18cdc1f15a31ccf

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:bed0f8504329c01437610ea0b209ce9c8a71eab232599386c86159271d9a5127

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:15.929308Z digest=sha256:7606319bb14f04abe505467d5252f7dba85362bae41afdd1228dbf34830a5dc5

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=sha256:964354c483290c4e349f29290fbcd1750de72ff905f8224bd0f6608524dada90

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:16.101280Z digest=sha256:a4b2c155b90e070d6b5ddc54ab2f8aeda63d6a68c9f1bdcc2612bfea191b6a9b

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

Resolution
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:31:16.180733Z digest=sha256:f95d7785f2cca532e94fb673cb341037140268f87b1c4a0b1a273595fd8326a7

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-15T07:01:08.953346Z digest=sha256:6e52d476f4d30b602345b77e7dc63bea483fb10c887db6dc4f11894e55a53662

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T19:20:54.697844Z digest=sha256:c67a992e9f416dd8eebf778ab6efce9e49e8d67d9df9a2cf643ca7bf82e53845

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-26T04:54:56.698035Z digest=sha256:ecd3473ee2d6a30875a87649af5bb4783fda7d6cc9884dd38b4f565e376559bf

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=sha256:71ccc081ee009c5c3d5cdb8740d23437199ffe214b2982276ccbc3660cd45cdb