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Paper Citation Record · LEDGER

Learning Neural Operators on Riemannian Manifolds

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T01:49:08.216819Z

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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  • verified fuzzy0
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  • malformed identifier0
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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 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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T23:05:33.582759Z digest=sha256:0d42a420d300fe18c8b0e7381236a59123477a53e8131d7ef4d5ba9343fb6e40

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T06:46:37.345180Z digest=sha256:1caf6f0d92cdd72e4877210b34d4f1290209233e16c146268ee2d10cac76e9d9

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-29T01:49:08.216819Z digest=sha256:f05e014d0f009f209df641887cdbcf777ef6310ba2fa760505a2992484dc55f1