Paper Citation Record · LEDGER

Convolutional Neural Operators for robust and accurate learning of PDEs

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2302.01178.

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

pith.paper-citation-record.v1
2302.01178 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:04:46.319041Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T09:39:17.190582Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
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 9a835247-d3f7-4583-9a6f-c167d237f3dc · inbound

Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations cites this paper.

Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations Convolutional Neural Operators for robust and accurate learning of PDEs

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:39:17.193970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d2078436-39db-4acf-bf07-18288abd29a3 · inbound

Multi-Head Neural Operator for Modelling Interfacial Dynamics cites this paper.

Multi-Head Neural Operator for Modelling Interfacial Dynamics Convolutional Neural Operators for robust and accurate learning of PDEs

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T19:04:46.319041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73e38384-192a-46e4-8b21-835109b5dc61 · inbound

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems cites this paper.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Convolutional Neural Operators for robust and accurate learning of PDEs

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T13:29:00.440523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3276e05e-db21-4cc7-b771-7d42f473ba4f · inbound

Spatiotemporal decoupled physics-informed Stone-Weierstrass neural operator for long-time prediction of time-dependent parametric PDEs cites this paper.

Spatiotemporal decoupled physics-informed Stone-Weierstrass neural operator for long-time prediction of time-dependent parametric PDEs Convolutional Neural Operators for robust and accurate learning of PDEs

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-19T18:57:43.153386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.