Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
To understand deep learning we need to understand kernel learning
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1802.01396.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:26:32.749866Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
110
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 8bb0271d-37fc-4546-975c-09917774a7f3 · inbound
The generalization error of random features regression: Precise asymptotics and double descent curve cites this paper.
The generalization error of random features regression: Precise asymptotics and double descent curve To understand deep learning we need to understand kernel learning
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:26:32.749866Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f52b2d5-5b4a-4566-adc6-4b4f9fb2b814 · inbound
On the Multiple Descent of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels cites this paper.
On the Multiple Descent of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels To understand deep learning we need to understand kernel learning
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:56:16.577232Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c24aa451-35ef-4597-977f-e84f91793b4f · inbound
Statistical Properties of Training & Generalization cites this paper.
Statistical Properties of Training & Generalization To understand deep learning we need to understand kernel learning
Reference 160
- Resolution
- verified exact
- local_arxiv, observed 2026-06-26T15:39:33.221135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dfea219b-0924-45e6-bdf4-1b1f06faddc7 · inbound
Statistical Properties of Training & Generalization cites this paper.
Statistical Properties of Training & Generalization To understand deep learning we need to understand kernel learning
Reference 160
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T21:57:25.335670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.