Paper Citation Record · LEDGER

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

As of 19 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

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measured 21 of 21 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

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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Observation 3ed3a2a5-7507-4af2-bbad-c7bd89662ae1 · outbound

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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Observation 9600901e-df25-4c5a-b9f8-6aa1b8fee57f · outbound

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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Observation 930f36dc-f722-4612-8abf-39c0578bafee · outbound

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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Observation dbd2b8ec-87cf-4ca7-98a3-d6ff7224c97e · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:46.819507Z

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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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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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Observation 57736654-9431-48a0-976e-79023fcfe43e · outbound

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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Observation 46343a7c-3bfd-464a-b04f-cdc73aa48ccd · outbound

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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Observation 16cd8631-b842-4dd7-8ba9-0d9d8b4787a0 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:46.786580Z

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Observation c98e4aa7-4bd9-43da-be68-c4160b65dcb3 · outbound

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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Observation 3e5be7e5-c89f-4652-b7ba-26e419b73a23 · outbound

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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Observation 53c9a3c1-9112-42b5-aef4-c943f083f4b2 · 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 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:46.778285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8718293a-4a3c-4024-b8be-be0695239bb0 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:27:46.766810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.