Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Operator Learning: A Statistical Perspective
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.03503.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:19:45.941582Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T22:47:25.759919Z
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 964046dc-c07f-4b72-9727-8ce948b70d39 · inbound
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning cites this paper.
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning Operator Learning: A Statistical Perspective
Reference 100
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:19:45.941582Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7c0bef0-4823-4bae-8289-bee3f2ef96b6 · inbound
Operator learning for the 2D incompressible Navier-Stokes equations: a conformal prediction approach in the data-scarce regime cites this paper.
Operator learning for the 2D incompressible Navier-Stokes equations: a conformal prediction approach in the data-scarce regime Operator Learning: A Statistical Perspective
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T22:47:25.761197Z
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.
Observation 80a0a5b5-f96b-46ed-897e-c4abd7a33a67 · inbound
From Spectral Methods to Sample Complexity Bounds for Fourier Neural Operators cites this paper.
From Spectral Methods to Sample Complexity Bounds for Fourier Neural Operators Operator Learning: A Statistical Perspective
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T00:56:24.127678Z
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.