Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.01036.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:55:42.428818Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T04:39:34.972122Z
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 11f53d22-5c9f-48e2-b696-cc1c5c26d0f7 · inbound
Kernel manifolds: nonlinear-augmentation dimensionality reduction using reproducing kernel Hilbert spaces cites this paper.
Kernel manifolds: nonlinear-augmentation dimensionality reduction using reproducing kernel Hilbert spaces Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:55:42.428818Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e8d0cde-6ac2-447b-8d52-26430d0d4a9c · inbound
Physics-Informed Neural Networks for Joint Source and Parameter Estimation in Advection-Diffusion Equations cites this paper.
Physics-Informed Neural Networks for Joint Source and Parameter Estimation in Advection-Diffusion Equations Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis
Reference 31
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T00:08:43.245860Z
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.
Observation c1672e3a-3702-4871-98c1-41da1218680a · inbound
Benchmarking a machine-learning differential equations solver on a neutral-atom logical processor cites this paper.
Benchmarking a machine-learning differential equations solver on a neutral-atom logical processor Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T04:39:34.973684Z
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.