Paper Citation Record · LEDGER

Learning Neural Operators on Riemannian Manifolds

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.08166.

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

pith.paper-citation-record.v1
2302.08166 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:56:26.561315Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T18:35:59.357884Z

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 14157d61-ed53-4532-a53a-8479e9c305bd · inbound

Koopman Theory-Inspired Method for Learning Time Advancement Operators in Unstable Flame Front Evolution cites this paper.

Koopman Theory-Inspired Method for Learning Time Advancement Operators in Unstable Flame Front Evolution Learning Neural Operators on Riemannian Manifolds

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T17:56:26.561315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 197b9e14-adb9-4253-bf2b-36da2137a1cd · inbound

Point Cloud Neural Operator for Parametric PDEs on Complex and Variable Geometries cites this paper.

Point Cloud Neural Operator for Parametric PDEs on Complex and Variable Geometries Learning Neural Operators on Riemannian Manifolds

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-10T15:12:46.353277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d210cc6b-d2b9-4902-ba9a-62f02fc20932 · inbound

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

Generalized Spherical Neural Operators: Green's Function Formulation Learning Neural Operators on Riemannian Manifolds

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:08:40.070043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6f5c8036-6d79-4c54-88f5-36783e9b8789 · inbound

Approximation Theory of Laplacian-Based Neural Operators for Reaction-Diffusion System cites this paper.

Approximation Theory of Laplacian-Based Neural Operators for Reaction-Diffusion System Learning Neural Operators on Riemannian Manifolds

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:47:26.115693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 827d583a-e256-492a-890a-318e6eb4f7ec · inbound

Higher-Order Fourier Neural Operator: Explicit Mode Mixer for Nonlinear PDEs cites this paper.

Higher-Order Fourier Neural Operator: Explicit Mode Mixer for Nonlinear PDEs Learning Neural Operators on Riemannian Manifolds

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:35:59.359496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.