Paper Citation Record · LEDGER

Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.11722.

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

pith.paper-citation-record.v1
2402.11722 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:31:13.342602Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:27:27.393885Z

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 0e502432-c9b1-4b9a-b84b-1d649d00db5e · inbound

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models cites this paper.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:13.342602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f8fefb2-51f2-480f-9642-4681113ea7ed · inbound

Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements cites this paper.

Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:22:49.265389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e8e75aa8-405f-4337-a0a9-0e066a998c71 · inbound

FEDONet : Fourier-Embedded DeepONet for Spectrally Accurate Operator Learning cites this paper.

FEDONet : Fourier-Embedded DeepONet for Spectrally Accurate Operator Learning Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-18T16:06:35.156329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5576e802-7829-44b3-a993-87f5195b790a · inbound

DiLO: Decoupling Generative Priors and Neural Operators via Diffusion Latent Optimization for Inverse Problems cites this paper.

DiLO: Decoupling Generative Priors and Neural Operators via Diffusion Latent Optimization for Inverse Problems Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:31:05.676481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a5f704bb-79a8-48e7-ac02-024208124a77 · inbound

Multiscale Fourier Neural Operator for Inverse Wave Scattering in Highly Oscillatory Media cites this paper.

Multiscale Fourier Neural Operator for Inverse Wave Scattering in Highly Oscillatory Media Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:27:27.395902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ef32899c-12eb-46f5-b7c6-f02ad3dd98bd · inbound

GAIA: Geometry-Adaptive Operator Learning for Forward and Inverse Problems cites this paper.

GAIA: Geometry-Adaptive Operator Learning for Forward and Inverse Problems Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T15:37:05.894953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 061201dd-00ef-4281-8166-9c0be79a0e65 · inbound

Component-Level Inverse Design of Transmon Qubits Using Neural Networks cites this paper.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T09:27:12.891404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f19f543b-f866-45e9-bacb-68e49ec148af · inbound

Component-Level Inverse Design of Transmon Qubits Using Neural Networks cites this paper.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T00:49:16.475169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.