Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Statistical theory for image classification using deep convolutional neural networks with cross-entropy loss under the hierarchical max-pooling model
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2011.13602.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-23T01:15:43.167721Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T01:17:20.093015Z
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 ab6e1eb0-d1bf-484a-9721-86effd4ef927 · inbound
Two-Dimensional Deep ReLU CNN Approximation for Korobov Functions: A Constructive Approach cites this paper.
Two-Dimensional Deep ReLU CNN Approximation for Korobov Functions: A Constructive Approach Statistical theory for image classification using deep convolutional neural networks with cross-entropy loss under the hierarchical max-pooling model
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T01:17:20.096416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.