Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Statistical Learning Theory for Neural Operators
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.17582.
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 2026-08-07T11:34:47.805724Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T21:46:15.434003Z
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 9060823d-b3b9-4056-b93f-43c335ef3428 · inbound
Function-on-function Differential Regression cites this paper.
Function-on-function Differential Regression Statistical Learning Theory for Neural Operators
Reference 130
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:34:47.805724Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb283d8c-1fd0-4bce-82fa-8f8a2309a148 · inbound
A short tour of operator learning theory: Convergence rates, statistical limits, and open questions cites this paper.
A short tour of operator learning theory: Convergence rates, statistical limits, and open questions Statistical Learning Theory for Neural Operators
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T19:58:43.338433Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 541c5bc0-039e-4f60-8023-91af90301a3b · inbound
Efficient Approximation for Encoder--Decoder Neural Operators via Variation Spaces cites this paper.
Efficient Approximation for Encoder--Decoder Neural Operators via Variation Spaces Statistical Learning Theory for Neural Operators
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T21:46:15.435401Z
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.