Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T13:06:40.884745Z
Paper Citation Record · LEDGER
Approximation and learning of anisotropic and mixed smooth functions by deep ReLU neural networks
As of 14 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 1 inbound Pith citation observation for arXiv:2605.31152.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-14T10:37:37.440024Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
2 of 2 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 37f36584-110d-48f0-98d9-561a5ada486d · outbound
This paper cites Higher Order Approximation Rates for ReLU CNNs in Korobov Spaces.
Approximation and learning of anisotropic and mixed smooth functions by deep ReLU neural networks Higher Order Approximation Rates for ReLU CNNs in Korobov Spaces
Reference 2015
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:06:40.779474Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 810f6521-9521-409e-bfcb-b38e03943cfc · outbound
This paper cites Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties.
Approximation and learning of anisotropic and mixed smooth functions by deep ReLU neural networks Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:06:40.884745Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 95a5af10-4358-49d6-a072-8eae804afdfe · inbound
Approximation of Analytic Functions by ReLU Neural Networks with Adjustable Depth and Width cites this paper.
Approximation of Analytic Functions by ReLU Neural Networks with Adjustable Depth and Width Approximation and learning of anisotropic and mixed smooth functions by deep ReLU neural networks
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T10:37:37.440024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.