Pith. sign in

Paper Citation Record · LEDGER

Efficient Training of Deep Neural Operator Networks via Randomized Sampling

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.13280.

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

pith.paper-citation-record.v1
2409.13280 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:42:44.185442Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T07:45:28.867382Z

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 527d4ce4-3c62-46e7-975f-642677f87952 · inbound

Learning Hidden Physics and System Parameters with Deep Operator Networks cites this paper.

Learning Hidden Physics and System Parameters with Deep Operator Networks Efficient Training of Deep Neural Operator Networks via Randomized Sampling

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:45:28.871047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-23T07:44:41.833239Z digest=sha256:5d263c75b489e69beff7d15f975a97f2d383922ab1f337e7fbbd8a618eadc3d6

Observation cfa07290-27c5-4520-b3fc-8091bea9ab9a · inbound

Equation-Free Coarse Control of Distributed Parameter Systems via Local Neural Operators cites this paper.

Equation-Free Coarse Control of Distributed Parameter Systems via Local Neural Operators Efficient Training of Deep Neural Operator Networks via Randomized Sampling

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T14:42:44.185442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:44.185442Z digest=sha256:b3f17fcd7a0bf535da6eef7c520f1cb4a01933abd02cf16b1d2eafed9dc47c92