Paper Citation Record · LEDGER

Toward a Better Understanding of Fourier Neural Operators from a Spectral Perspective

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2404.07200.

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

pith.paper-citation-record.v1
2404.07200 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T08:47:34.631129Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:30:02.726510Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6bf24c45-815a-401b-a714-38b0ecac5f58 · inbound

Mitigating Frequency Learning Bias in Quantum Models via Multi-Stage Residual Learning cites this paper.

Mitigating Frequency Learning Bias in Quantum Models via Multi-Stage Residual Learning Toward a Better Understanding of Fourier Neural Operators from a Spectral Perspective

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:25:50.494918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 81c9a996-0739-469c-a82f-fb95788c3df7 · inbound

MENO: MeanFlow-Enhanced Neural Operators for Dynamical Systems cites this paper.

MENO: MeanFlow-Enhanced Neural Operators for Dynamical Systems Toward a Better Understanding of Fourier Neural Operators from a Spectral Perspective

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:20:51.422662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b4a3b47b-1a2e-416c-87f3-501b93f78fcb · inbound

MENO: MeanFlow-Enhanced Neural Operators for Dynamical Systems cites this paper.

MENO: MeanFlow-Enhanced Neural Operators for Dynamical Systems Toward a Better Understanding of Fourier Neural Operators from a Spectral Perspective

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-13T08:47:34.631129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b473c186-deb7-44b2-b13d-b26be6bb1138 · inbound

Deciphering Neural Reparameterized Full-Waveform Inversion with Neural Sensitivity Kernel and Wave Tangent Kernel cites this paper.

Deciphering Neural Reparameterized Full-Waveform Inversion with Neural Sensitivity Kernel and Wave Tangent Kernel Toward a Better Understanding of Fourier Neural Operators from a Spectral Perspective

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:58:28.953730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f2f4f0bb-311e-412d-a951-d9396265b385 · inbound

Iterative Refinement Neural Operators are Learned Fixed-Point Solvers: A Principled Approach to Spectral Bias Mitigation cites this paper.

Iterative Refinement Neural Operators are Learned Fixed-Point Solvers: A Principled Approach to Spectral Bias Mitigation Toward a Better Understanding of Fourier Neural Operators from a Spectral Perspective

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T17:04:56.500346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b2fbefe5-2751-4bc4-a0b3-a93fad75330a · inbound

Correcting Neural Operator Spectral Bias via Diffusion Posterior Sampling with Sparse Observations cites this paper.

Correcting Neural Operator Spectral Bias via Diffusion Posterior Sampling with Sparse Observations Toward a Better Understanding of Fourier Neural Operators from a Spectral Perspective

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:06:27.771239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7a241f00-e194-4ae3-80be-397e605937b3 · inbound

Operator Boosting Produces Pareto-Efficient PDE Surrogates cites this paper.

Operator Boosting Produces Pareto-Efficient PDE Surrogates Toward a Better Understanding of Fourier Neural Operators from a Spectral Perspective

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:08:55.731189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bd4cb74f-2e64-4caf-a8cc-eae6849b8459 · inbound

A Physics-Informed Fourier-Wavelet Transformer for Multiscale Computational Fluid Dynamics Surrogate Modeling cites this paper.

A Physics-Informed Fourier-Wavelet Transformer for Multiscale Computational Fluid Dynamics Surrogate Modeling Toward a Better Understanding of Fourier Neural Operators from a Spectral Perspective

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:30:02.727953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ce741224-3780-4e39-9c38-c7387569ce55 · inbound

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws cites this paper.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Toward a Better Understanding of Fourier Neural Operators from a Spectral Perspective

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-11T19:51:56.544026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.