Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-15T21:40:24.181687Z
Paper Citation Record · LEDGER
As of 4 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 55 inbound Pith citation observations for arXiv:2402.02366.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-15T21:40:24.181687Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T16:37:40.817483Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T06:15:00.866473Z
33 of 33 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation fc5b8072-56c8-413b-876e-3bc29e0be26d · outbound
Transolver: A Fast Transformer Solver for PDEs on General Geometries GPT-4 Technical Report
Reference 1
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Transolver: A Fast Transformer Solver for PDEs on General Geometries ShapeNet: An Information-Rich 3D Model Repository
Reference 2
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Training Deep Nets with Sublinear Memory Cost
Reference 3
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Observation d737c6a7-cabf-4ac6-811c-ff3fe99d3041 · outbound
Transolver: A Fast Transformer Solver for PDEs on General Geometries Neural Operator: Graph Kernel Network for Partial Differential Equations
Reference 4
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Geometry-Informed Neural Operator for Large-Scale 3D PDEs
Reference 5
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Mitigating spectral bias for the multiscale operator learning
Reference 6
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Patches Are All You Need?
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Transolver: A Fast Transformer Solver for PDEs on General Geometries ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Unresolved cited work
Reference 9
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Unresolved cited work
Reference 10
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Transolver: A Fast Transformer Solver for PDEs on General Geometries #Mesh records the size of discretized meshes
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Transolver: A Fast Transformer Solver for PDEs on General Geometries • Navier-Stokes equations for fluid(McLean, 2012): Airfoil, Pipe, Navier-Stokes, Shape-Net Car and AirfRANS
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Plasticity This benchmark is to predict the future deformation of the plasticity material under the impact from above by an arbitrary-shaped die (Li et al., 2022)
Reference 13
Source-reported events for the cited work
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Experimentally, 900 samples with different die shapes are used for model training and 80 new samples are for test
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Source-reported events for the cited work
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Observation 06babbd9-edc3-4118-919b-620fcd5dcb6a · outbound
Transolver: A Fast Transformer Solver for PDEs on General Geometries Navier-Stokes This benchmark is to model the incompressible and viscous flow on a unit torus, where the fluid density is constant and viscosity is set as 10−5 (Li et al., 2021)
Reference 15
Source-reported events for the cited work
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Transolver: A Fast Transformer Solver for PDEs on General Geometries As for the lift coefficient of AirfRANS,bi is set as (0, 0, −1)
Reference 16
Source-reported events for the cited work
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Especially, we configure Project() in Eq
Reference 17
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Training configurations are directly from previous works without extra tuning (Bonnet et al., 2022; Hao et al., 2023; Deng et al., 2024)
Reference 18
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Experimentally, we found that ONO (Xiao et al
Reference 19
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Unresolved cited work
Reference 20
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Transolver: A Fast Transformer Solver for PDEs on General Geometries As for GNO (Li et al., 2020a) and 3D-GeoCA (Deng et al., 2024), we adopt the official code base of 3D-GeoCA
Reference 21
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Unresolved cited work
Reference 22
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Unresolved cited work
Reference 23
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Unresolved cited work
Reference 24
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Here, GNOT fails in predicting the future deformation of Plasticity
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Transolver: A Fast Transformer Solver for PDEs on General Geometries This means that we can set the number of slices M at will, regardless of the exact division restriction
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Unresolved cited work
Reference 27
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Unresolved cited work
Reference 28
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Apply to Lagrangian Settings In the main text, we follow the convention of previous neural operators (Li et al., 2021; Wu et al
Reference 29
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Observation 8c6cba56-22ee-4993-850d-c7ca263d5fca · outbound
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Reference 30
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Efficiency is evaluated on inputs of different meshes during training
Reference 31
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Unresolved cited work
Reference 32
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Transolver: A Fast Transformer Solver for PDEs on General Geometries Unresolved cited work
Reference 33
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Integrating Fourier Neural Operator with Diffusion Model for Autoregressive Predictions of Three-dimensional Turbulence Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 86
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SuperWing: a comprehensive transonic wing dataset for data-driven aerodynamic design Transolver: A Fast Transformer Solver for PDEs on General Geometries
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A Simple but Efficient Transformer-Based Physics-Informed Neural Network for Incompressible Navier--Stokes Equations Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 46
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Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs Transolver: A Fast Transformer Solver for PDEs on General Geometries
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Adaptive Physics Transformer with Fused Global-Local Attention for Subsurface Energy Systems Transolver: A Fast Transformer Solver for PDEs on General Geometries
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Fluids You Can Trust: Property-Preserving Operator Learning for Incompressible Flows Transolver: A Fast Transformer Solver for PDEs on General Geometries
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A Structure-Preserving Graph Neural Solver for Parametric Hyperbolic Conservation Laws Transolver: A Fast Transformer Solver for PDEs on General Geometries
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Faster by Design: Interactive Aerodynamics via Neural Surrogates Trained on Expert-Validated CFD Transolver: A Fast Transformer Solver for PDEs on General Geometries
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A Hybridizable Neural Time Integrator for Stable Autoregressive Forecasting Transolver: A Fast Transformer Solver for PDEs on General Geometries
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Learning Neural Operator Surrogates for the Black Hole Accretion Code Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 43
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RETO: A Rotary-Enhanced Transformer Operator for High-Fidelity Prediction of Automotive Aerodynamics Transolver: A Fast Transformer Solver for PDEs on General Geometries
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Reference 32
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PerFlow: Physics-Embedded Rectified Flow for Efficient Reconstruction and Uncertainty Quantification of Spatiotemporal Dynamics Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 34
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Replay-Based Continual Learning for Physics-Informed Neural Operators Transolver: A Fast Transformer Solver for PDEs on General Geometries
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AeroJEPA: Learning Semantic Latent Representations for Scalable 3D Aerodynamic Field Modeling Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 37
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CarCrashNet: A Large-Scale Dataset and Hierarchical Neural Solver for Data-Driven Structural Crash Simulation Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 126
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CarCrashNet: A Large-Scale Dataset and Hierarchical Neural Solver for Data-Driven Structural Crash Simulation Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 1
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A meshfree exterior calculus for generalizable and data-efficient learning of physics from point clouds Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 23
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PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 156
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PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 156
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CATO: Charted Attention for Neural PDE Operators Transolver: A Fast Transformer Solver for PDEs on General Geometries
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Don't Fix the Basis -- Learn It: Spectral Representation with Adaptive Basis Learning for PDEs Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 25
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ShardTensor: Domain Parallelism for Scientific Machine Learning Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 38
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U-HNO: A U-shaped Hybrid Neural Operator with Sparse-Point Adaptive Routing for Non-stationary PDE Dynamics Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 30
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Reference 16
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Discovering Physical Directions in Weight Space: Composing Neural PDE Experts Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 34
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Mask-Morph Graph U-Net: A Generalisable Mesh-Based Surrogate for Crashworthiness Field Prediction under Large Geometric Variation Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 22
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Mask-Morph Graph U-Net: A Generalisable Mesh-Based Surrogate for Crashworthiness Field Prediction under Large Geometric Variation Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 22
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Observation 08bd7e64-df5e-4e78-9dc2-d4e54b080697 · inbound
HiLiftAeroML: High-Fidelity Computational Fluid Dynamics Dataset for High-Lift Aircraft Aerodynamics Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 13
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Observation faa60af3-3fc6-4e30-ab01-aca4e235215c · inbound
IKNO: Infinite-order Kernel Neural Operators Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 11
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Observation bf0572a0-cdcc-4cd9-a6dd-99fd013f1a99 · inbound
Learning Laplacian Eigenspace with Mass-Aware Neural Operators on Point Clouds Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 33
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Observation 338e8451-6845-475a-97a1-3b542179b545 · inbound
Courant: a State-Adaptive Perceiver-Based Neural Surrogate with Local Support and Interpretable Field Decomposition Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 7
Source-reported events for the cited work
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Observation 303b0045-f0b5-4678-8445-e3adbc2c3e2b · inbound
Transformer-based Neural Operators for 3D Wind Field Prediction over Complex Mountainous Terrain Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 26
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High-Fidelity Industrial Crash Dynamics Prediction via Geometry-Aware Operator Learning with Memory-Efficient Low-Rank Attention Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 37
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Functional Attention: From Pairwise Affinities to Functional Correspondences Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 14
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An Exploratory Study into using Machine-Learning for Fast Step-by-step Emulation of Numerical Mechanical Thrombectomy Simulations for Ischemic Stroke Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 20
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EqGINO: Equivariant Geometry-Informed Fourier Neural Operators for 3D PDEs Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 17
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Attention mechanism for scalable mesh-based neural surrogates of free-surface fluids Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 30
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Solver Exactness, Learned Flexibility: Equivariant Boundary-Correction Operators for Stokes Flow Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 23
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Solver Exactness, Learned Flexibility: Equivariant Boundary-Correction Operators for Stokes Flow Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 23
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Temperature Field Reconstruction of Tungsten Monoblock Divertor on EAST using Physics-aware Neural Operator Transformer Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 40
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LSR-Net: Long-Short-Range Operator Learning for Pattern Dynamics on Manifolds Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 11
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GAIA: Geometry-Adaptive Operator Learning for Forward and Inverse Problems Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 9
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Knowledge-Constrained Shape Optimization with a Mixture-of-Experts Neural Operator for High-Confidence Design Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 1
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NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 18
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A multi-scale feature enhanced graph neural network for fluid dynamics prediction in complex geometries Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 23
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Evaluation of State-of-the-Art Deep Learning Architectures for Aerodynamical Predictions Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 21
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Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 11
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Adaptive Mamba Neural Operators Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 14
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Label-Free Finite-Volume-Residual Training of Attention Graph Neural Networks for Coupled Thermo-Fluid Fields Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 47
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Observation 45059cc7-555e-48e0-8513-07df108234a6 · inbound
Geometry-aware LegONet for PDE Learning on Arbitrary Domains Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 17
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Neural operator discovery from heterogeneous trajectories Transolver: A Fast Transformer Solver for PDEs on General Geometries
Reference 10
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