Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Parametric Complexity of Operator Learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.15924.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:10:54.282429Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T06:47:26.089829Z
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 d504536a-4d80-42b7-8312-4667a601ca2a · inbound
Nonlinear Optimal Recovery in Hilbert Spaces cites this paper.
Nonlinear Optimal Recovery in Hilbert Spaces The Parametric Complexity of Operator Learning
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:10:54.282429Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72befe50-c993-43ae-bb73-1fc2e27d9032 · inbound
Diffeomorphic Neural Operator Learning cites this paper.
Diffeomorphic Neural Operator Learning The Parametric Complexity of Operator Learning
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:39:54.585690Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d49c99b-187d-4f66-9179-2995f42b7544 · inbound
Approximation Theory of Laplacian-Based Neural Operators for Reaction-Diffusion System cites this paper.
Approximation Theory of Laplacian-Based Neural Operators for Reaction-Diffusion System The Parametric Complexity of Operator Learning
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:47:26.093785Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.