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Paper Citation Record · LEDGER

Enhancing Fourier Neural Operators with Local Spatial Features

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2503.17797.

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

pith.paper-citation-record.v1
2503.17797 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 2026-08-17T06:30:58.91139+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:16:22.380796Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T23:08:40.091378Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

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 b6f77f90-c99a-4b4c-a34f-be58c7259ed1 · inbound

Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems cites this paper.

Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems Enhancing Fourier Neural Operators with Local Spatial Features

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:44.054494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:27:44.054494Z digest=sha256:e2f894698944d3ded2d4078f186399195ff64ba314e5e230c6451d2a942e34c2

Observation 0498348c-b2c4-4d57-b3bf-a3bd5a953217 · inbound

Single vs. Multiple Branches in DeepONet and S-DeepONet: Network Architecture Follows Coupling in Multiphysics Systems cites this paper.

Single vs. Multiple Branches in DeepONet and S-DeepONet: Network Architecture Follows Coupling in Multiphysics Systems Enhancing Fourier Neural Operators with Local Spatial Features

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T20:09:50.090635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:50.090635Z digest=sha256:c093bfea32e21c5ed541a76de7f9f39cf88651af6e90c0232dd5dff57222ba17

Observation 34af75c8-c2c5-4978-b776-ae5088b698a3 · inbound

Generalized Spherical Neural Operators: Green's Function Formulation cites this paper.

Generalized Spherical Neural Operators: Green's Function Formulation Enhancing Fourier Neural Operators with Local Spatial Features

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:08:40.093560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-16T23:05:33.582759Z digest=sha256:1c5811a4cd4404bfc2d6ecc253ef96fdb5018b7ca259ccc3691d642ebd058ac7

Observation bc42de41-382b-478f-8989-bd4d7253e74b · inbound

AI models of unstable flow exhibit hallucination cites this paper.

AI models of unstable flow exhibit hallucination Enhancing Fourier Neural Operators with Local Spatial Features

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:51:04.003225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-09T23:58:31.542786Z digest=sha256:d9256db544a45524ab6f46c336aac3b6df05f4be2cce1faeca1e2f06bccbda8b

Observation 0360ae7b-054a-44d4-9672-ff94da86ccbc · inbound

Robust Model-Based Iteration for Passive Gamma Emission Tomography cites this paper.

Robust Model-Based Iteration for Passive Gamma Emission Tomography Enhancing Fourier Neural Operators with Local Spatial Features

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:11:25.701192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-07T12:40:13.947200Z digest=sha256:6ec06774514b4072b9044ab1900c106300c14b5b544a9a5972255e638994c566

Observation 4a743352-1101-4022-b7f4-85c76946f223 · inbound

Deep Wave Network for Modeling Multi-Scale Physical Dynamics cites this paper.

Deep Wave Network for Modeling Multi-Scale Physical Dynamics Enhancing Fourier Neural Operators with Local Spatial Features

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:31:04.930476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T17:33:24.661591Z digest=sha256:1de9ba88aa4d6b04870defa8c39c15f9fdf4aa06427df035907aa0188b8e4bd7

Observation c1cee4d6-e4d3-4019-a335-134b9fe364f5 · inbound

U-HNO: A U-shaped Hybrid Neural Operator with Sparse-Point Adaptive Routing for Non-stationary PDE Dynamics cites this paper.

U-HNO: A U-shaped Hybrid Neural Operator with Sparse-Point Adaptive Routing for Non-stationary PDE Dynamics Enhancing Fourier Neural Operators with Local Spatial Features

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:39:28.987149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-14T20:31:02.246184Z digest=sha256:a8209164e24006e771ba198c7a166f18b1df0e95f9c63389494ad0e08eac9c21

Observation 4d9a0f03-49dd-4c74-9181-c75bf4f296b4 · inbound

The Kuramoto Neural Operator: Learning to Solve PDEs via Coupled Oscillator Dynamics cites this paper.

The Kuramoto Neural Operator: Learning to Solve PDEs via Coupled Oscillator Dynamics Enhancing Fourier Neural Operators with Local Spatial Features

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-14T04:16:22.380796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:16:22.380796Z digest=sha256:1e6299a218e7dec8e7015be49442aedb9fb4b70c2adcd303066dc6f66aad5267