Paper Citation Record · LEDGER

On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2012.10047.

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

pith.paper-citation-record.v1
2012.10047 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:22:55.258385Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T03:30:50.596173Z

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 8814b5f7-5c84-460b-af53-737e72afb602 · inbound

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks cites this paper.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-04T20:22:55.258385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0cae52d-0bcd-4705-9337-f65412be99bd · inbound

A Practitioner's Guide to Kolmogorov-Arnold Networks cites this paper.

A Practitioner's Guide to Kolmogorov-Arnold Networks On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks

Reference 159

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.601429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e891ee4b-e2fe-4381-9d89-7bb352868e74 · inbound

ATHENA: Agentic Team for Hierarchical Evolutionary Numerical Algorithms cites this paper.

ATHENA: Agentic Team for Hierarchical Evolutionary Numerical Algorithms On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-17T01:58:51.540595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 28f98dd6-d78b-425f-b9ef-a1f609ec5af2 · inbound

ATHENA: Agentic Team for Hierarchical Evolutionary Numerical Algorithms cites this paper.

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T18:51:34.106064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a7d89c8-ae5c-4e40-961e-e62c5c290422 · inbound

Gradient Scaling Effects in Adaptive Spectral PINNs for Stiff Nonlinear ODEs cites this paper.

Gradient Scaling Effects in Adaptive Spectral PINNs for Stiff Nonlinear ODEs On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:01:08.691393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cb390548-7271-4fb2-8cdc-9974ea34d781 · inbound

GRAFT-ATHENA: Self-Improving Agentic Teams for Autonomous Discovery and Evolutionary Numerical Algorithms cites this paper.

GRAFT-ATHENA: Self-Improving Agentic Teams for Autonomous Discovery and Evolutionary Numerical Algorithms On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:07:27.238646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.