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Paper Citation Record · LEDGER

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations

As of 17 August 2026, this Paper Citation Record lists 100 of 104 outbound references and 2 inbound Pith citation observations for arXiv:2505.02974.

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

pith.paper-citation-record.v1
2505.02974 v3

Coverage vector

measured 100 of 104 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:42:29.304579Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:42:00.856849Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T11:55:20.919117Z

Reference resolution

100 of 104 outbound references displayed

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  • verified fuzzy47
  • unresolved52
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e0308cbb-23cc-4bc4-8502-564109396161 · outbound

This paper cites Challenges and opportunities in numerical weather prediction.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Challenges and opportunities in numerical weather prediction

Reference 1

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Observation 81a5352e-dac0-405f-af97-f3d78d362076 · outbound

This paper cites The virtual physiological human: ten years after.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations The virtual physiological human: ten years after

Reference 2

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Observation d80b49e0-dbbf-4f1d-9799-a73059f70cd3 · outbound

This paper cites Agent-based models of financial markets.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Agent-based models of financial markets

Reference 3

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Observation 95b4d578-0f72-49df-ae69-5675ffc2ce5d · outbound

This paper cites The finite element method for solid and structural mechanics.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations The finite element method for solid and structural mechanics

Reference 4

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Observation 1437c1d9-1bfc-4b9c-86f0-ce25234c5b38 · outbound

This paper cites Numerical recipes 3rd edition: The art of scientific computing.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Numerical recipes 3rd edition: The art of scientific computing

Reference 5

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Observation c72ebf7f-fdc8-4cf6-8679-7e0fac6338f7 · outbound

This paper cites The finite element method in engineering science, volume 1977.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations The finite element method in engineering science, volume 1977

Reference 6

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Observation 1d1de592-35d2-44ca-bfe9-9fd6145588f6 · outbound

This paper cites Random forests.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Random forests

Reference 7

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Observation 5fc13a2e-b09a-4366-b1d7-34ecb5de0eb1 · outbound

This paper cites Williams and C.E.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Williams and C.E

Reference 8

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Observation 5651e91a-f80a-43e3-a35f-2a48f92063ad · outbound

This paper cites UQLab: A Framework for Uncertainty Quantification in Matlab, pages 2554–2563.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations UQLab: A Framework for Uncertainty Quantification in Matlab, pages 2554–2563

Reference 9

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Observation e09bca0a-291b-4053-b1ed-125697544503 · outbound

This paper cites OpenTURNS: An Industrial Software for Uncertainty Quantification in Simulation, pages 1–38.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations OpenTURNS: An Industrial Software for Uncertainty Quantification in Simulation, pages 1–38

Reference 10

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Observation 0d0ce747-1b9f-4053-a5bf-b43eee89813a · outbound

This paper cites an unresolved cited work.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Unresolved cited work

Reference 11

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Observation 8a07b420-dd66-4313-b197-4322b8371d11 · outbound

This paper cites an unresolved cited work.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Unresolved cited work

Reference 12

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Observation 9ebaf496-3680-4bca-baa4-55862c6cff2e · outbound

This paper cites Design optimization using hyper-reduced-order models.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Design optimization using hyper-reduced-order models

Reference 13

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Observation 5c8b4601-c414-497f-af9b-38e99c794c96 · outbound

This paper cites Casenave, N.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Casenave, N

Reference 14

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Observation 76959b4c-06ae-480b-81ec-45beedda1589 · outbound

This paper cites Daniel, F.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Daniel, F

Reference 15

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Observation 014d05bd-1586-4d7a-9ed1-163c2f9cc1de · outbound

This paper cites Model reduction of dynamical systems on nonlinear mani- folds using deep convolutional autoencoders.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Model reduction of dynamical systems on nonlinear mani- folds using deep convolutional autoencoders

Reference 16

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Observation 5448fa66-832c-4857-b843-75ade845cac7 · outbound

This paper cites A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder

Reference 17

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Observation 3eea861e-28f8-4444-9e1d-fdc7f1e28f16 · outbound

This paper cites Registration-based model reduction of parameterized PDEs with spatio-parameter adaptivity.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Registration-based model reduction of parameterized PDEs with spatio-parameter adaptivity

Reference 18

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Observation 1b8a4a9c-1764-4170-a47a-a3631551302b · outbound

This paper cites MMGP: a Mesh Morphing Gaus- sian Process-based machine learning method for regression of physical problems under non- parametrized geometrical variability.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations MMGP: a Mesh Morphing Gaus- sian Process-based machine learning method for regression of physical problems under non- parametrized geometrical variability

Reference 19

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Observation 2dbadd2c-93df-42a4-9a39-e38f9fdfec03 · outbound

This paper cites Elasticity-based morphing technique and application to reduced-order modeling.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Elasticity-based morphing technique and application to reduced-order modeling

Reference 20

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Observation a3808678-55eb-4458-9ca8-e967b6163423 · outbound

This paper cites O-MMGP: Optimal Mesh Morphing Gaussian Process regression for solving PDEs with non-parametric geometric variations.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations O-MMGP: Optimal Mesh Morphing Gaussian Process regression for solving PDEs with non-parametric geometric variations

Reference 21

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Observation 3b38811d-4eba-4f5e-a0d4-972e6d982f98 · outbound

This paper cites Learning signals defined on graphs with optimal transport and Gaussian process regression, 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Learning signals defined on graphs with optimal transport and Gaussian process regression, 2025

Reference 22

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Observation 3f3d06ee-1f8f-45af-a949-f5e1e9bc0249 · outbound

This paper cites Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels

Reference 23

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Observation 17c24b7b-0bef-4464-a22e-379b5aef3de0 · outbound

This paper cites Gilmer, S.S.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Gilmer, S.S

Reference 24

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Observation 526791ad-933e-4065-b921-5c9e85b778fa · outbound

This paper cites Pfaff, M.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Pfaff, M

Reference 25

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Observation c26886e4-aea3-4b23-aa7d-196984913cca · outbound

This paper cites MultiScale MeshGraphNets.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations MultiScale MeshGraphNets

Reference 26

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Observation ecf4cce7-fb7f-401f-97ed-aa2fe8711c53 · outbound

This paper cites Physical Design using Differentiable Learned Simulators.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Physical Design using Differentiable Learned Simulators

Reference 27

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Observation cbd80fcf-ee32-4f8a-8291-87f8b08f6e1a · outbound

This paper cites Direct Prediction of Steady-State Flow Fields in Meshed Domain with Graph Networks.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Direct Prediction of Steady-State Flow Fields in Meshed Domain with Graph Networks

Reference 28

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Observation 50b32ad6-e604-48a6-bdfb-e6b0403b2003 · outbound

This paper cites Baque, E.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Baque, E

Reference 29

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Observation 5011723c-839e-4218-bea3-244060778499 · outbound

This paper cites Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks

Reference 30

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Observation 6fdbc60a-1ccd-4dd7-97fd-f6fa72e2be9d · outbound

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Unresolved cited work

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Observation 5c04503e-04e1-4f35-957d-0c621a864620 · outbound

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Unresolved cited work

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Observation de14a6d3-fefc-4247-ab32-04eb38280434 · outbound

This paper cites Nvidia physicsnemo: An open-source framework for physics-based deep learning in science and engineering.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Nvidia physicsnemo: An open-source framework for physics-based deep learning in science and engineering

Reference 33

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Observation 9f3263b2-199c-40b3-8987-53ca6f4e1c74 · outbound

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Unresolved cited work

Reference 34

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Observation e2527642-d4d3-4fd6-9632-ca6018c1097a · outbound

This paper cites Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

Reference 35

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Observation 91c40f6b-96a1-4cb7-a944-f5b07c4ecbb3 · outbound

This paper cites Towards a foundation model for partial differential equations: Multioperator learning and extrapolation.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Towards a foundation model for partial differential equations: Multioperator learning and extrapolation

Reference 36

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Observation 3622a85f-5282-41f0-8084-4e820516adbc · outbound

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Multiple physics pretraining for spatiotemporal surrogate models

Reference 37

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Observation 90e45087-af2e-4ba3-b4df-3b6c920b5dca · outbound

This paper cites Multiple physics pretraining for physical surrogate models, 2024.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Multiple physics pretraining for physical surrogate models, 2024

Reference 38

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7229582b-67a1-4bcd-8f3d-803678d72e89 · outbound

This paper cites Omnijet-α: the first cross-task foundation model for particle physics.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Omnijet-α: the first cross-task foundation model for particle physics

Reference 39

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation eebd2386-c2af-4ff8-81ae-cd8784d84ad5 · outbound

This paper cites an unresolved cited work.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Unresolved cited work

Reference 40

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c1396791-7eb9-4020-9b05-909e27f3c25f · outbound

This paper cites GPT-4 Technical Report.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations GPT-4 Technical Report

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ca4a9a4e-b426-47b8-8acf-67960c9409c6 · outbound

This paper cites LLaMA: Open and efficient founda- tion language models, 2023.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations LLaMA: Open and efficient founda- tion language models, 2023

Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f8d24c55-b197-45ef-9238-5101b943a477 · outbound

This paper cites The llama 4 herd: The beginning of a new era of natively multimodal ai innovation,.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations The llama 4 herd: The beginning of a new era of natively multimodal ai innovation,

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a360649d-5360-4a52-a062-d2b93201bb17 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 44

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no resolver link, observed 2026-08-16T00:42:29.014876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e8273625-1094-429c-9852-0adc9a8604e5 · outbound

This paper cites The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only

Reference 45

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no resolver link, observed 2026-08-16T00:42:29.020138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8eeb1ff0-8874-45fc-8990-2b43150fcffa · outbound

This paper cites LLMDataHub: Awesome Datasets for LLM Training, 2023.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations LLMDataHub: Awesome Datasets for LLM Training, 2023

Reference 46

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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 2026-08-17T06:30:58.91139+00:00.

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Observation 42f0862c-37b9-4d6f-b12c-d06d83985868 · outbound

This paper cites Datasets for large language models: A comprehensive survey, 2024.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Datasets for large language models: A comprehensive survey, 2024

Reference 47

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8374a86b-2f20-420f-a99e-8547c3b74915 · outbound

This paper cites Laion- 5b: An open large-scale dataset for training next generation image-text models.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Laion- 5b: An open large-scale dataset for training next generation image-text models

Reference 48

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d0588ffb-36d7-4cf6-be66-ef1261ea9440 · outbound

This paper cites Vision datasets: A benchmark for vision-based industrial inspection, 2023.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Vision datasets: A benchmark for vision-based industrial inspection, 2023

Reference 49

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 89812c2a-3fb1-4e01-ba7d-1d0d903c7e13 · outbound

This paper cites Panda-70m: Captioning 70m videos with multiple cross-modality teachers, 2024.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Panda-70m: Captioning 70m videos with multiple cross-modality teachers, 2024

Reference 50

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3b2adc04-86a7-4e3e-a97a-3d962635cb80 · outbound

This paper cites Pdebench: An extensive benchmark for scientific machine learning.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Pdebench: An extensive benchmark for scientific machine learning

Reference 51

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no resolver link, observed 2026-08-16T00:42:29.051023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7eaeaf88-65be-4f2a-af67-b7f0a22fcbf4 · outbound

This paper cites Towards Multi-spatiotemporal-scale Generalized PDE Modeling.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Towards Multi-spatiotemporal-scale Generalized PDE Modeling

Reference 52

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 77046cc1-751d-47e7-9506-d141bfbd0ce0 · outbound

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

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs

Reference 53

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no resolver link, observed 2026-08-16T00:42:29.064433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4c1fc3bb-4044-4baa-856c-af8b2d5a496d · outbound

This paper cites Benchmarking autoregressive conditional diffusion models for turbulent flow simulation.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Benchmarking autoregressive conditional diffusion models for turbulent flow simulation

Reference 54

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 243cf89d-f6c8-4603-a06e-e967e229edfb · outbound

This paper cites Airfrans: High fidelity computational fluid dynamics dataset for approximating reynolds-averaged navier–stokes solutions.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Airfrans: High fidelity computational fluid dynamics dataset for approximating reynolds-averaged navier–stokes solutions

Reference 55

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 31df852e-feb2-4943-8863-33910b96e2c3 · outbound

This paper cites La- grangebench: A lagrangian fluid mechanics benchmarking suite.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations La- grangebench: A lagrangian fluid mechanics benchmarking suite

Reference 56

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7446bfb5-6c0d-476e-9548-c7d8ddb253b5 · outbound

This paper cites The era5 global reanalysis.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations The era5 global reanalysis

Reference 57

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 30b7c2a4-c399-44ed-a6c9-68cfa0f69ca2 · outbound

This paper cites David Neelin, David Randall, Sara Shamekh, Mark A Taylor, Nathan Urban, Janni Yuval, Guang Zhang, and Michael Pritchard.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations David Neelin, David Randall, Sara Shamekh, Mark A Taylor, Nathan Urban, Janni Yuval, Guang Zhang, and Michael Pritchard

Reference 58

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2a4309dc-73d4-4d4d-9e52-b1f009dfb095 · outbound

This paper cites Eagle: Large-scale learning of turbulent fluid dynamics with mesh transformers.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Eagle: Large-scale learning of turbulent fluid dynamics with mesh transformers

Reference 59

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e6a6a25c-fcdf-4897-8633-475dbbfb357b · outbound

This paper cites BubbleML: A multi-physics dataset and benchmarks for machine learning.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations BubbleML: A multi-physics dataset and benchmarks for machine learning

Reference 60

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a3c9e346-7184-40b8-bcc5-f14e7a4678eb · outbound

This paper cites Chen, Jack Guo, Davy Brouzet, Mohsen Talei, Bruno Savard, Alexei Y.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Chen, Jack Guo, Davy Brouzet, Mohsen Talei, Bruno Savard, Alexei Y

Reference 61

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c22bcd04-70f7-4ab6-9133-d3bf39c03497 · outbound

This paper cites Drivaerml: High-fidelity computational fluid dynamics dataset for road-car external aerodynamics, 2024.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Drivaerml: High-fidelity computational fluid dynamics dataset for road-car external aerodynamics, 2024

Reference 62

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6b496cd1-da40-4fd1-ba8a-a4fa31016481 · outbound

This paper cites The well: a large-scale collection of diverse physics simulations for machine learning.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations The well: a large-scale collection of diverse physics simulations for machine learning

Reference 63

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no resolver link, observed 2026-08-16T00:42:29.122056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4e8b7e60-34cb-488d-9bdf-fe18eeed103c · outbound

This paper cites PLAID: Physics Learning AI Datamodel.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations PLAID: Physics Learning AI Datamodel

Reference 64

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verified fuzzy
raw_fallback, observed 2026-08-16T00:42:30.234856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation abd99f47-b03f-4339-b02f-33cdd30f6000 · outbound

This paper cites Seven keys for practical understanding and use of cgns.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Seven keys for practical understanding and use of cgns

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:42:30.218933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a1fa13d2-ef0b-4c30-8787-16cedab892eb · outbound

This paper cites huggingface/datasets: 2.8.0, December 2022.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations huggingface/datasets: 2.8.0, December 2022

Reference 66

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raw_fallback, observed 2026-08-16T00:42:30.202272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9038c418-d1e6-4782-8332-ca5a87aa7fec · outbound

This paper cites MUSCAT: Mesh Utilities and Solver for Computational Analysis Toolkit.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations MUSCAT: Mesh Utilities and Solver for Computational Analysis Toolkit

Reference 67

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raw_fallback, observed 2026-08-16T00:42:30.185462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d2c37998-740c-45b7-8f9f-c5a84caceb42 · outbound

This paper cites Basictools: a numerical simulation toolbox.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Basictools: a numerical simulation toolbox

Reference 68

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no resolver link, observed 2026-08-16T00:42:29.144905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1dab6872-3bd6-45d8-b1ac-6908675c0159 · outbound

This paper cites Tensile2d: 2D quasistatic non-linear structural mechanics solutions, under geometrical variations , February 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Tensile2d: 2D quasistatic non-linear structural mechanics solutions, under geometrical variations , February 2025

Reference 69

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raw_fallback, observed 2026-08-16T00:42:30.157917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d403c817-6743-4cc4-815f-cb15c46743b3 · outbound

This paper cites Zset: nonlinear material & structure analysis suite.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Zset: nonlinear material & structure analysis suite

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:42:30.140557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:42:29.154749Z digest=sha256:08d9e69d9d82b6629a442e5a140612631c1187de3a3422c72bf6693a57569bb8

Observation da4bd49f-37b0-4767-808b-4d2268a49172 · outbound

This paper cites 2D_Multiscale_Hyperelasticity: a 2D quasistatic non-linear structural mechanics with finite elasticity and topology variations , February 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations 2D_Multiscale_Hyperelasticity: a 2D quasistatic non-linear structural mechanics with finite elasticity and topology variations , February 2025

Reference 71

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raw_fallback, observed 2026-08-16T00:42:30.124024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:42:29.160495Z digest=sha256:6d03b6ff703aaf3093aa760d9890d6bfe1c0e9df3ca3cfda9763d4a44f50f1dc

Observation f0e07696-8c1d-4ff2-bc4d-98962dfb585d · outbound

This paper cites Baratta, Joseph P.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Baratta, Joseph P

Reference 72

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unresolved
no resolver link, observed 2026-08-16T00:42:29.165285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5eb16bfc-b947-4b8a-a27a-5dccbcb99b14 · outbound

This paper cites Computational homogenization of heterogeneous materials with finite ele- ments, volume 258.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Computational homogenization of heterogeneous materials with finite ele- ments, volume 258

Reference 73

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Observation 90f3c5ae-939b-4e52-b80b-9477b3f01cfe · outbound

This paper cites 2D_ElastoPlastoDynamics: 2D dynamic non-linear structural mechanics dataset, with a non-linear non-local constitutive law , April 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations 2D_ElastoPlastoDynamics: 2D dynamic non-linear structural mechanics dataset, with a non-linear non-local constitutive law , April 2025

Reference 74

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5bd4dfe0-db88-4232-a132-ab6e470e1f56 · outbound

This paper cites Openradioss: Open-source finite element solver for dynamic event analysis, 2022.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Openradioss: Open-source finite element solver for dynamic event analysis, 2022

Reference 75

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 602f894b-da99-4477-b808-ed7fc8b0be4b · outbound

This paper cites Rotor37: a 3D CFD RANS dataset, under geometrical variations of a compressor blade , February 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Rotor37: a 3D CFD RANS dataset, under geometrical variations of a compressor blade , February 2025

Reference 76

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 69ee70b1-2821-4a61-8415-d031527c627e · outbound

This paper cites The onera elsa cfd software: input from research and feedback from industry.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations The onera elsa cfd software: input from research and feedback from industry

Reference 77

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d2520345-7c24-4cb7-b806-98f68ed7b76d · outbound

This paper cites 2D_profile: 2D external aero CFD RANS dataset, under geometrical variations , April 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations 2D_profile: 2D external aero CFD RANS dataset, under geometrical variations , April 2025

Reference 78

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5df69131-8c29-4e0c-9eb1-c7e2b1595de3 · outbound

This paper cites VKI-LS59: a 2D internal aero CFD RANS dataset, under geometrical variations , February 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations VKI-LS59: a 2D internal aero CFD RANS dataset, under geometrical variations , February 2025

Reference 79

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation cdc9a93b-5978-4baa-b819-e17e10adb9db · outbound

This paper cites Broadcast: A high-order compressible cfd toolbox for stability and sensitivity using algorithmic differentia- tion.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Broadcast: A high-order compressible cfd toolbox for stability and sensitivity using algorithmic differentia- tion

Reference 80

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9c018856-6083-4bc2-b20e-fcca97faa898 · outbound

This paper cites AirfRANS_original, February 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations AirfRANS_original, February 2025

Reference 81

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Source-reported events for the cited work

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Observation 9f4ca689-bad4-4882-abb5-b4a546479d6d · outbound

This paper cites AirfRANS_clipped, February 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations AirfRANS_clipped, February 2025

Reference 82

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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 2026-08-17T06:30:58.91139+00:00.

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Observation 2d1e8449-f35d-4aa1-9c69-c95a97ef01a9 · outbound

This paper cites AirfRANS_remeshed, February 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations AirfRANS_remeshed, February 2025

Reference 83

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation fda44f7b-1467-4901-92ec-9c59a580d965 · outbound

This paper cites ML4CFD Competition: Restrospec- tive Analysis.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations ML4CFD Competition: Restrospec- tive Analysis

Reference 84

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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 2026-08-17T06:30:58.91139+00:00.

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Observation 6d62dc50-faf1-4523-893a-324ca420401b · outbound

This paper cites Domain Agnostic Fourier Neural Operators, 2023.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Domain Agnostic Fourier Neural Operators, 2023

Reference 86

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation cd6450ba-475d-4272-a120-041e470d3fb0 · outbound

This paper cites MARIO: Multiscale Aerodynamic Resolution Invariant Operator, 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations MARIO: Multiscale Aerodynamic Resolution Invariant Operator, 2025

Reference 87

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Source-reported events for the cited work

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Observation af3b6a27-2065-439f-94da-a3ed6eee57ee · outbound

This paper cites Neural fields for rapid aircraft aerodynamics simulations.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Neural fields for rapid aircraft aerodynamics simulations

Reference 88

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Source-reported events for the cited work

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Observation 2a6b9f52-7287-40c0-8f24-4fc5a0f688f8 · outbound

This paper cites Kipf and Max Welling.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Kipf and Max Welling

Reference 89

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Observation 941af3ba-a87e-49e1-9310-d31a94c18145 · outbound

This paper cites Morphing techniques for model order reduction with non parametric geometrical variabilities.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Morphing techniques for model order reduction with non parametric geometrical variabilities

Reference 90

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Observation 8571c6a8-85a4-4d48-9aba-8274deaa1fe2 · outbound

This paper cites Learning latent representations in high- dimensional state spaces using polynomial manifold constructions.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Learning latent representations in high- dimensional state spaces using polynomial manifold constructions

Reference 91

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Source-reported events for the cited work

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Observation 811745d2-0fd5-4cfe-8ad0-095187db9c5a · outbound

This paper cites Registration-based model reduction of parameterized PDEs with spatio-parameter adaptivity.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Registration-based model reduction of parameterized PDEs with spatio-parameter adaptivity

Reference 92

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3af258d7-3c02-465b-8e66-bda097ddbb9e · outbound

This paper cites Reformer: The Efficient Transformer.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Reformer: The Efficient Transformer

Reference 93

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Observation 796c2621-bd36-4ed4-a558-39f74616ba44 · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Linformer: Self-Attention with Linear Complexity

Reference 94

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Observation 665a242c-6398-4165-bf0e-b39e3832910d · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale, 2021.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations An image is worth 16x16 words: Transformers for image recognition at scale, 2021

Reference 95

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Observation ccd892b8-a78c-412e-ae85-98d697900708 · outbound

This paper cites Transformer based contextual model for sentiment analysis of customer reviews: A fine-tuned bert.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Transformer based contextual model for sentiment analysis of customer reviews: A fine-tuned bert

Reference 96

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e50bf307-279c-4617-820b-9cce4478cb2d · outbound

This paper cites An improved transformer-based model for detecting phishing, spam, and ham: A large language model approach, 2023.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations An improved transformer-based model for detecting phishing, spam, and ham: A large language model approach, 2023

Reference 97

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 81ab9740-e013-40bd-9fa2-673114352b2b · outbound

This paper cites Revisiting transformer-based models for long document classification, 2022.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Revisiting transformer-based models for long document classification, 2022

Reference 98

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b829641a-9307-40f1-8537-0fedc386dbb4 · outbound

This paper cites Alvarez, and Ping Luo.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Alvarez, and Ping Luo

Reference 99

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Source-reported events for the cited work

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Observation dd9b979f-e492-40b9-a5a2-bfc53e40ed9e · outbound

This paper cites Point transformer, 2021.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Point transformer, 2021

Reference 100

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Observation 28316f49-cbe7-4a4a-985c-bca6db36c3f3 · outbound

This paper cites Transcfd: A transformer-based decoder for flow field prediction.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Transcfd: A transformer-based decoder for flow field prediction

Reference 101

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

Observation 134706a1-7d4d-4482-9f69-0462ffed25c0 · inbound

Towards scalable surrogate models based on Neural Fields for large scale aerodynamic simulations cites this paper.

Towards scalable surrogate models based on Neural Fields for large scale aerodynamic simulations PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations

Reference 49

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Unavailable: canonical work link unavailable.

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Observation 10923062-e604-4cf7-a389-13440493397e · inbound

G-PARC: Graph-Physics Aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics on Unstructured Meshes cites this paper.

G-PARC: Graph-Physics Aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics on Unstructured Meshes PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations

Reference 17

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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