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Paper Citation Record · LEDGER

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction

As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2507.05584.

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

pith.paper-citation-record.v1
2507.05584 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:27:46.673171Z

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

21 of 21 outbound references displayed

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External citation measurements

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Outbound references

Observation a0b74df1-4e97-464c-916a-61d0885016e0 · outbound

This paper cites Journal of Computational Physics378, 686–707 (2019) 11 Fig.

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction Journal of Computational Physics378, 686–707 (2019) 11 Fig

Reference 1

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This paper cites Nature Reviews Physics3, 422–440 (2021).

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction Nature Reviews Physics3, 422–440 (2021)

Reference 2

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This paper cites Acta Mechanica Sinica 38(11), 1725–1737 (2022).

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction Acta Mechanica Sinica 38(11), 1725–1737 (2022)

Reference 3

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Observation 982d973b-9a85-424c-b70d-2eaee14a9293 · outbound

This paper cites Journal of Computational Physics404, 109136 (2020).

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction Journal of Computational Physics404, 109136 (2020)

Reference 4

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This paper cites Science367(6481), 1026– 1030 (2020).

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction Science367(6481), 1026– 1030 (2020)

Reference 5

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This paper cites In: International Conference on Learning Representations (2021).

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction In: International Conference on Learning Representations (2021)

Reference 6

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Observation bd1c353b-4b5e-4e80-8eb9-4bf21a13a155 · outbound

This paper cites In: International Conference on Learning Representations (2023).

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction In: International Conference on Learning Representations (2023)

Reference 7

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Observation d6101c12-b348-480d-9d26-3dad458bf345 · outbound

This paper cites Nature Machine Intelligence3(3), 218–229 (2021).

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction Nature Machine Intelligence3(3), 218–229 (2021)

Reference 8

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Observation 8628f2c4-4b2a-4d55-ba9c-bcc5db9f97c9 · outbound

This paper cites Neural Operator: Graph Kernel Network for Partial Differential Equations.

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 9

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Observation ec2973c2-c63c-4f23-9b75-8f9b6b9383ce · outbound

This paper cites Neural Operator: Learning Maps Between Function Spaces.

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction Neural Operator: Learning Maps Between Function Spaces

Reference 10

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This paper cites In: International Conference on Learning Representations (2022).

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction In: International Conference on Learning Representations (2022)

Reference 11

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Observation 73b56ca5-8456-4b8a-906b-296f5ba7ac21 · outbound

This paper cites FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 12

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This paper cites Physics-Informed Neural Operator for Learning Partial Differential Equations.

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction Physics-Informed Neural Operator for Learning Partial Differential Equations

Reference 13

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This paper cites Ask Me Anything: A simple strategy for prompting language models.

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction Ask Me Anything: A simple strategy for prompting language models

Reference 14

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This paper cites In: Advances in Neural Information Processing Systems, pp.

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction In: Advances in Neural Information Processing Systems, pp

Reference 15

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This paper cites In: Advances in Neural Information Processing Systems (2020).

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction In: Advances in Neural Information Processing Systems (2020)

Reference 16

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This paper cites The pairing symmetry in quasi-one-dimensional superconductor Rb2Mo3As3.

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction The pairing symmetry in quasi-one-dimensional superconductor Rb2Mo3As3

Reference 17

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This paper cites Acoustic Beamforming for Object-relative Distance Estimation and Control in Unmanned Air Vehicles using Propulsion System Noise.

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction Acoustic Beamforming for Object-relative Distance Estimation and Control in Unmanned Air Vehicles using Propulsion System Noise

Reference 18

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Observation 39dfec57-eb54-4149-9c3a-0761c4223173 · outbound

This paper cites Offline RL for Natural Language Generation with Implicit Language Q Learning.

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction Offline RL for Natural Language Generation with Implicit Language Q Learning

Reference 19

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This paper cites In: International Conference on Learning Representations (2023).

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction In: International Conference on Learning Representations (2023)

Reference 20

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This paper cites In: Advances in Neural Information Processing Systems, pp.

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction In: Advances in Neural Information Processing Systems, pp

Reference 21

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