Pith. sign in

Paper Citation Record · LEDGER

The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2203.13181.

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

pith.paper-citation-record.v1
2203.13181 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:15:42.433864Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T15:04:46.381645Z

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 a4d92a8d-1c84-4613-b0f3-13b807144b9f · inbound

Generative diffusion learning for parametric partial differential equations cites this paper.

Generative diffusion learning for parametric partial differential equations The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-24T09:09:15.674328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-24T09:06:10.327568Z digest=sha256:a8890f3d8eba8b93a81fa5e1832f46cd8c0c9ff34009deab1f5498d63c95b160

Observation bc3f3879-d205-4d84-9061-4f1b0f501bb9 · inbound

Can neural operators always be continuously discretized? cites this paper.

Can neural operators always be continuously discretized? The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T22:33:25.178328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:33:25.178328Z digest=sha256:97eadb3cc2d30d021091e70ae035f4b6799e993aba73f86d7a52247450778f69

Observation d3bb5fb2-bf43-47e0-a5a1-fcc5a86ba473 · inbound

Stabilizing and Solving Unique Continuation Problems by Parameterizing Data and Learning Finite Element Solution Operators cites this paper.

Stabilizing and Solving Unique Continuation Problems by Parameterizing Data and Learning Finite Element Solution Operators The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T21:31:32.057028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:31:32.057028Z digest=sha256:65ee15d0317285d9288c7ca731bdaee1abe35cde282a0d2b81bb940219b59181

Observation 64b40372-077c-4d27-bab2-f2f1da5f075e · 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 The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-10T15:12:46.347119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:12:46.347119Z digest=sha256:2c00322ad1f95bf1d2dca8c23131a28d6f86acd6842b4664ebde1ef559faa537

Observation 5cf2efb6-0cf3-41c6-87a6-954d065e7eb1 · inbound

Scale-Consistent Learning for Partial Differential Equations cites this paper.

Scale-Consistent Learning for Partial Differential Equations The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:42.433864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:15:42.433864Z digest=sha256:69d4c878f3fbc77d80fadae859215f45831083c772d1b3d59bf10affc2944c39

Observation 37a737cc-6d08-4c84-babb-fdb2a550dfef · inbound

Modeling turbulent and self-gravitating fluids with Fourier neural operators cites this paper.

Modeling turbulent and self-gravitating fluids with Fourier neural operators The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T10:46:04.883768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:46:04.883768Z digest=sha256:3084316c0abc71323cfd2b5dd914db200454ae47d6dbf057d904e379ebd2357b

Observation 6d5f2cbe-d56f-4972-aee0-cb83e54c424c · inbound

Geometric Generalization of Neural Operators from a Kernel Integral Perspective cites this paper.

Geometric Generalization of Neural Operators from a Kernel Integral Perspective The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T06:25:50.578925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:25:50.578925Z digest=sha256:10f229dc2386860d45b99e630f2eeaef90b2dc30003cb630285145bfd8e5e245

Observation 1ff99d45-acd0-4070-a612-092fcb405556 · inbound

Data-Efficient Neural Operator Training via Physics-Based Active Learning cites this paper.

Data-Efficient Neural Operator Training via Physics-Based Active Learning The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:33:58.520738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-21T05:33:00.817862Z digest=sha256:8a0f4b5ca04ddf58435c413b378073d34b834972284f1e07a84775a358cb581c

Observation edafeebc-72dc-4126-9605-8db804211571 · inbound

WLNO: Wavelet-Laplace Neural Operator for Solving Partial Differential Equations cites this paper.

WLNO: Wavelet-Laplace Neural Operator for Solving Partial Differential Equations The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-06-30T15:04:46.383043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T14:57:17.751127Z digest=sha256:0cf81416391557be73d0b3e53d374ca57228b4ea25c373bbf3b2fd07e63c595e