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Paper Citation Record · LEDGER

Group Equivariant Fourier Neural Operators for Partial Differential Equations

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2306.05697.

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

pith.paper-citation-record.v1
2306.05697 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:43.397479Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:16:26.938225Z

Reference resolution

0 of 0 outbound references displayed

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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 b32cd65e-098e-460f-9ce4-e22f07b9a4b0 · 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 Group Equivariant Fourier Neural Operators for Partial Differential Equations

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:43.397479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e8064189-2563-491e-ac45-4425bded670c · inbound

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning cites this paper.

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning Group Equivariant Fourier Neural Operators for Partial Differential Equations

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T04:19:40.117818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:19:40.117818Z digest=sha256:a3dd0c9ed63ca80b99434121cdeec4e05939856aa51d5e53131aa280cb12aa1f

Observation ac660249-f722-4fa3-8045-911f41bdaa10 · inbound

Isotropic Fourier Neural Operators cites this paper.

Isotropic Fourier Neural Operators Group Equivariant Fourier Neural Operators for Partial Differential Equations

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:25:46.048277Z

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.

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Observation 33a3cd7f-d701-4ed2-9243-9de8b3b973b2 · inbound

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

Deep Wave Network for Modeling Multi-Scale Physical Dynamics Group Equivariant Fourier Neural Operators for Partial Differential Equations

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:31:04.681435Z

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.

source=pdf_text observed=2026-05-08T17:33:24.661591Z digest=sha256:d31da160dbcc642d2fb2bb943449608becec212278cddd49c44b46cdafebe548

Observation 94e4369a-f819-4c0c-a47e-383c29313803 · inbound

Discovering Physical Directions in Weight Space: Composing Neural PDE Experts cites this paper.

Discovering Physical Directions in Weight Space: Composing Neural PDE Experts Group Equivariant Fourier Neural Operators for Partial Differential Equations

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:08:29.748802Z

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.

source=pdf_text observed=2026-05-15T02:03:50.528627Z digest=sha256:abd186edf3f3a5324d6d87e0559d208ed7f1ed991768272c7da2cec1d783ee9e

Observation c9445aed-78b3-4d8a-a028-4310cbabea31 · inbound

EqGINO: Equivariant Geometry-Informed Fourier Neural Operators for 3D PDEs cites this paper.

EqGINO: Equivariant Geometry-Informed Fourier Neural Operators for 3D PDEs Group Equivariant Fourier Neural Operators for Partial Differential Equations

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T02:16:26.939527Z

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.

source=arxiv_source observed=2026-06-28T11:03:59.241935Z digest=sha256:b44cd9a999eac242d82f26bb1c9d3b7dd99352841f64807ee162a88f3589e473

Observation 7fa3f1a2-dd12-470e-adfc-7b203a9cb2b9 · inbound

Elliptic Regularity Theory in Barron Spaces and Applications to the Deep Ritz Method cites this paper.

Elliptic Regularity Theory in Barron Spaces and Applications to the Deep Ritz Method Group Equivariant Fourier Neural Operators for Partial Differential Equations

Reference 1999

Resolution
unresolved
no resolver link, observed 2026-07-31T01:28:50.569807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T01:28:50.569807Z digest=sha256:5d3f45541bb8f9d7890049c40ccfb421e84b7ddfec2b9fc0753d9ebef2e5bed1