Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the optimal approximation of Sobolev and Besov functions using deep ReLU neural networks
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.00901.
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 2026-08-02T21:28:34.968470Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T04:55:25.114678Z
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 afd3e769-8dfa-47e4-8d3a-7c26d61fd2da · inbound
Higher Order Approximation Rates for ReLU CNNs in Korobov Spaces cites this paper.
Higher Order Approximation Rates for ReLU CNNs in Korobov Spaces On the optimal approximation of Sobolev and Besov functions using deep ReLU neural networks
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:55:25.117010Z
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 986e253b-7c69-4463-8e21-357e00d1a999 · inbound
Standard Transformers Achieve the Minimax Rate in Nonparametric Regression with $C^{s,\lambda}$ Targets cites this paper.
Standard Transformers Achieve the Minimax Rate in Nonparametric Regression with $C^{s,\lambda}$ Targets On the optimal approximation of Sobolev and Besov functions using deep ReLU neural networks
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T21:28:34.968470Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.