Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How many Neurons do we need? A refined Analysis for Shallow Networks trained with Gradient Descent
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2309.08044.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:34:06.667542Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T05:34:06.996156Z
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 eafc8dda-294a-42a5-bd4d-3df5617f850e · inbound
Optimal Convergence Rates for Neural Operators cites this paper.
Optimal Convergence Rates for Neural Operators How many Neurons do we need? A refined Analysis for Shallow Networks trained with Gradient Descent
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T05:34:07.001525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.