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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T09:06:10.327568Z digest=sha256:365ecb04301f9cbc708269847a1f1fb8dcddccddcf48efcab35610917e431e18

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:df676a4f3c51f8c3ce99f5f57865e812de4b8785a356c144e12c03892ce0850d

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:af8d838bda3f964a2c42398cdd3fa8af91d6c6dce01a51e3aecd9692d561817e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T05:33:00.817862Z digest=sha256:49efc53af96f7c4a3e663c75b9a72774c4e1102f5ebfe105d5c3954ee540cd49

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T14:57:17.751127Z digest=sha256:0cf28fb1a6d5da221c28ccbcba4f2cd6d05e2512b75e7c69046a4bd29e6f0e58