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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:46:04.883768Z

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

source=pdf_text observed=2026-05-24T09:06:10.327568Z digest=sha256:53c88f9fdc9ae51138e44376022d26ca12a6ee7fb65d763bf0367973a9957e2d

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:fff8aaaf72290f16e4c86b19ce4082c200076d7a5d3cd1a795bbabed5bfecc38

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=sha256:08b87ffcf4b0751942ac372ec50a1203a5abe099382bf219f76768f189de3825

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

source=pdf_text observed=2026-05-21T05:33:00.817862Z digest=sha256:b0d0cd5aca97a707632769cc42aae12dd8cabd883adc48cb2acd8405fa69b57f

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

source=pdf_text observed=2026-06-30T14:57:17.751127Z digest=sha256:85b84b5b8888a554dbfe9ea63d86c9c66dd6ae82a87179107855631866adbc77