Paper Citation Record · LEDGER

Autoregression-Free Neural Operators for Time-Dependent PDEs

As of 15 July 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2605.25413.

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2605.25413 v3

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Reference resolution

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Outbound references

Observation 51647872-131d-4087-9da5-7c06445552af · outbound

This paper cites A review of physics- informed machine learning in fluid mechanics,.

Autoregression-Free Neural Operators for Time-Dependent PDEs A review of physics- informed machine learning in fluid mechanics,

Reference 1

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This paper cites Current and emerging time-integration strate- gies in global numerical weather and climate prediction,.

Autoregression-Free Neural Operators for Time-Dependent PDEs Current and emerging time-integration strate- gies in global numerical weather and climate prediction,

Reference 2

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This paper cites From traditional to computationally efficient scientific computing algorithms in option pricing: Current progresses with future directions,.

Autoregression-Free Neural Operators for Time-Dependent PDEs From traditional to computationally efficient scientific computing algorithms in option pricing: Current progresses with future directions,

Reference 3

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This paper cites A review of numerical methods for nonlinear partial differential equations,.

Autoregression-Free Neural Operators for Time-Dependent PDEs A review of numerical methods for nonlinear partial differential equations,

Reference 4

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Observation 0d589913-d9b3-4046-847c-82f5e1505181 · outbound

This paper cites Partial differential equations meet deep neural networks: A survey,.

Autoregression-Free Neural Operators for Time-Dependent PDEs Partial differential equations meet deep neural networks: A survey,

Reference 5

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This paper cites Neural operators for accelerating scientific simu- lations and design,.

Autoregression-Free Neural Operators for Time-Dependent PDEs Neural operators for accelerating scientific simu- lations and design,

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This paper cites Neural operator: Learning maps between function spaces with applications to pdes,.

Autoregression-Free Neural Operators for Time-Dependent PDEs Neural operator: Learning maps between function spaces with applications to pdes,

Reference 7

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Observation b236e9bb-689b-4423-baa6-55ba8dbd48d9 · outbound

This paper cites Physics-informed neural networks for solving time-dependent mode-resolved phonon boltzmann transport equation,.

Autoregression-Free Neural Operators for Time-Dependent PDEs Physics-informed neural networks for solving time-dependent mode-resolved phonon boltzmann transport equation,

Reference 8

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This paper cites Temporal neural operator for modeling time-dependent physical phenomena,.

Autoregression-Free Neural Operators for Time-Dependent PDEs Temporal neural operator for modeling time-dependent physical phenomena,

Reference 9

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This paper cites Rethinking materials simulations: Blending direct numerical simula- tions with neural operators,.

Autoregression-Free Neural Operators for Time-Dependent PDEs Rethinking materials simulations: Blending direct numerical simula- tions with neural operators,

Reference 10

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This paper cites When physics meets machine learning: A survey of physics-informed machine learning,.

Autoregression-Free Neural Operators for Time-Dependent PDEs When physics meets machine learning: A survey of physics-informed machine learning,

Reference 11

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Observation c5ddaff6-12ab-4508-9e82-eae08529636a · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Autoregression-Free Neural Operators for Time-Dependent PDEs Fourier Neural Operator for Parametric Partial Differential Equations

Reference 12

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Observation ac168a80-5f36-4da8-ab7e-c1cf127a71e0 · outbound

This paper cites Seismic traveltime simulation for variable velocity models using physics-informed fourier neural operator,.

Autoregression-Free Neural Operators for Time-Dependent PDEs Seismic traveltime simulation for variable velocity models using physics-informed fourier neural operator,

Reference 13

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This paper cites Domain agnostic fourier neural operators,.

Autoregression-Free Neural Operators for Time-Dependent PDEs Domain agnostic fourier neural operators,

Reference 14

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This paper cites Mscalefno: Multi-scale fourier neural op- erator learning for oscillatory functions and wave scattering problems,.

Autoregression-Free Neural Operators for Time-Dependent PDEs Mscalefno: Multi-scale fourier neural op- erator learning for oscillatory functions and wave scattering problems,

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This paper cites Deep learning methods for partial differential equations and related parameter identification problems,.

Autoregression-Free Neural Operators for Time-Dependent PDEs Deep learning methods for partial differential equations and related parameter identification problems,

Reference 16

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This paper cites To- wards physics-informed deep learning for turbulent flow prediction,.

Autoregression-Free Neural Operators for Time-Dependent PDEs To- wards physics-informed deep learning for turbulent flow prediction,

Reference 17

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This paper cites Neupde: Neural network based ordinary and partial differential equations for modeling time-dependent data,.

Autoregression-Free Neural Operators for Time-Dependent PDEs Neupde: Neural network based ordinary and partial differential equations for modeling time-dependent data,

Reference 18

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This paper cites Three-dimensional deep learning-based re- duced order model for unsteady flow dynamics with variable reynolds number,.

Autoregression-Free Neural Operators for Time-Dependent PDEs Three-dimensional deep learning-based re- duced order model for unsteady flow dynamics with variable reynolds number,

Reference 19

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This paper cites Diffusion models in vision: A survey,.

Autoregression-Free Neural Operators for Time-Dependent PDEs Diffusion models in vision: A survey,

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This paper cites High- resolution image synthesis with latent diffusion models,.

Autoregression-Free Neural Operators for Time-Dependent PDEs High- resolution image synthesis with latent diffusion models,

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Autoregression-Free Neural Operators for Time-Dependent PDEs Flowturbo: Towards real- time flow-based image generation with velocity refiner,

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Autoregression-Free Neural Operators for Time-Dependent PDEs Image gener- ation: A review,

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

Autoregression-Free Neural Operators for Time-Dependent PDEs Pdebench: An extensive benchmark for scientific machine learning,

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Autoregression-Free Neural Operators for Time-Dependent PDEs DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators

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Observation f75e23bb-ecf2-438c-9c9d-c3028bc0a54b · outbound

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Autoregression-Free Neural Operators for Time-Dependent PDEs Neural Operator: Graph Kernel Network for Partial Differential Equations

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Autoregression-Free Neural Operators for Time-Dependent PDEs Fourier neural operator with learned deformations for pdes on general geometries,

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Autoregression-Free Neural Operators for Time-Dependent PDEs Physics-informed neural operator for learning partial differential equations,

Reference 28

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Autoregression-Free Neural Operators for Time-Dependent PDEs Scientific machine learning through physics–informed neural networks: Where we are and what’s next,

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Autoregression-Free Neural Operators for Time-Dependent PDEs Convolutional neural operators for robust and accurate learning of pdes,

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Autoregression-Free Neural Operators for Time-Dependent PDEs Gnot: A general neural operator transformer for operator learning,

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Autoregression-Free Neural Operators for Time-Dependent PDEs Attention is all you need,

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Autoregression-Free Neural Operators for Time-Dependent PDEs Mamba neural operator: Who wins? transformers vs. state-space models for pdes,

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Autoregression-Free Neural Operators for Time-Dependent PDEs Mamba: Linear-time sequence modeling with selective state spaces,

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Autoregression-Free Neural Operators for Time-Dependent PDEs Recurrent Neural Operators: Stable Long-Term PDE Prediction

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Autoregression-Free Neural Operators for Time-Dependent PDEs SGNO: Spectral Generator Neural Operators for Stable Long Horizon PDE Rollouts

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Autoregression-Free Neural Operators for Time-Dependent PDEs Flow Matching in Latent Space

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Autoregression-Free Neural Operators for Time-Dependent PDEs Weditgan: Few-shot image generation via latent space relocation,

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Autoregression-Free Neural Operators for Time-Dependent PDEs Deepmdp: Learning continuous latent space models for representation learning,

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Autoregression-Free Neural Operators for Time-Dependent PDEs Auto-Encoding Variational Bayes

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Autoregression-Free Neural Operators for Time-Dependent PDEs Generative adversarial networks,

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Autoregression-Free Neural Operators for Time-Dependent PDEs Density estimation using Real NVP

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Autoregression-Free Neural Operators for Time-Dependent PDEs Glow: Generative flow with invertible 1x1 convolutions,

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Autoregression-Free Neural Operators for Time-Dependent PDEs Denoising diffusion probabilistic models,

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Autoregression-Free Neural Operators for Time-Dependent PDEs Bert: Pre-training of deep bidirectional transformers for language understanding,

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Autoregression-Free Neural Operators for Time-Dependent PDEs Neural discrete representation learning,

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Autoregression-Free Neural Operators for Time-Dependent PDEs WaveNet: A Generative Model for Raw Audio

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Autoregression-Free Neural Operators for Time-Dependent PDEs Latent neural operator for solving forward and inverse pde problems,

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Autoregression-Free Neural Operators for Time-Dependent PDEs Scheduled sampling for sequence prediction with recurrent neural networks,

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Autoregression-Free Neural Operators for Time-Dependent PDEs A reduction of imitation learning and structured prediction to no-regret online learning,

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Autoregression-Free Neural Operators for Time-Dependent PDEs Neural ordinary differential equations,

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Autoregression-Free Neural Operators for Time-Dependent PDEs The fast fourier transform,

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Autoregression-Free Neural Operators for Time-Dependent PDEs A practical method for numerical evaluation of solutions of partial differential equations of the heat-conduction type,

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Autoregression-Free Neural Operators for Time-Dependent PDEs U-NO: U-shaped Neural Operators

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Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T22:24:00.534677Z

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This paper cites Wavelet neural operator for solving parametric partial differential equations in computational mechanics problems,.

Autoregression-Free Neural Operators for Time-Dependent PDEs Wavelet neural operator for solving parametric partial differential equations in computational mechanics problems,

Reference 58

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This paper cites Lightweight fourier neural operator for time-dependent partial differential equations,.

Autoregression-Free Neural Operators for Time-Dependent PDEs Lightweight fourier neural operator for time-dependent partial differential equations,

Reference 59

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This paper cites FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers.

Autoregression-Free Neural Operators for Time-Dependent PDEs FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers

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Resolution: verified exact; arxiv_id, observed 2026-06-29T22:24:00.538641Z

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This paper cites Adam: A Method for Stochastic Optimization.

Autoregression-Free Neural Operators for Time-Dependent PDEs Adam: A Method for Stochastic Optimization

Reference 61

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This paper cites Message Passing Neural PDE Solvers.

Autoregression-Free Neural Operators for Time-Dependent PDEs Message Passing Neural PDE Solvers

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:24:00.536704Z

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Observation 26a41802-7396-4e1f-b8fb-ab8a6c8f9ada · outbound

This paper cites Deep residual learning for image recognition,.

Autoregression-Free Neural Operators for Time-Dependent PDEs Deep residual learning for image recognition,

Reference 63

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This paper cites A Tutorial on Principal Component Analysis.

Autoregression-Free Neural Operators for Time-Dependent PDEs A Tutorial on Principal Component Analysis

Reference 64

Resolution: malformed identifier; local_arxiv, observed 2026-06-29T22:24:00.553102Z

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Pith citing papers

Observation 36d84e46-de0e-4e0f-8a2e-7da421c9a7ff · inbound

TF-SNO: Time-Frequency Gated Spectral Neural Operators for Learning Non-Stationary Partial Differential Equations cites this paper.

TF-SNO: Time-Frequency Gated Spectral Neural Operators for Learning Non-Stationary Partial Differential Equations Autoregression-Free Neural Operators for Time-Dependent PDEs

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-07-04T06:29:37.168322Z

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