Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the Approximation Properties of Random ReLU Features
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1810.04374.
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 2026-08-10T17:42:25.416049Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T00:04:06.941779Z
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 1fc8a788-d0fd-4ee6-89c3-175cb6a118b0 · inbound
Approximation Theory and Applications of Randomized Neural Networks for Solving High-Dimensional PDEs cites this paper.
Approximation Theory and Applications of Randomized Neural Networks for Solving High-Dimensional PDEs On the Approximation Properties of Random ReLU Features
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:42:25.416049Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb5e9eb8-f7b2-4e09-9606-cc786d5dc77a · inbound
Finite Expression Method with TranNet-based Function Learning for High-Dimensional Partial Differential Equations cites this paper.
Finite Expression Method with TranNet-based Function Learning for High-Dimensional Partial Differential Equations On the Approximation Properties of Random ReLU Features
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:51:11.200322Z
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 fee80405-e874-4249-af0e-0eb80761a0fd · inbound
Efficient Techniques for Data Reconstruction, with Finite-Width Recovery Guarantees cites this paper.
Efficient Techniques for Data Reconstruction, with Finite-Width Recovery Guarantees On the Approximation Properties of Random ReLU Features
Reference 17
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T19:06:11.475620Z
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 93042ee0-ae36-40c5-9f13-cca0df80f6c9 · inbound
Scaling Laws from Sequential Feature Recovery: A Solvable Hierarchical Model cites this paper.
Scaling Laws from Sequential Feature Recovery: A Solvable Hierarchical Model On the Approximation Properties of Random ReLU Features
Reference 88
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T01:39:38.415132Z
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 482de40e-1003-4934-af62-c6369dffc765 · inbound
Random Neural Network Expressivity for Non-Linear Partial Differential Equations cites this paper.
Random Neural Network Expressivity for Non-Linear Partial Differential Equations On the Approximation Properties of Random ReLU Features
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T00:04:06.943310Z
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 bab58271-c5a6-419b-84af-8f591db98109 · inbound
On high probability of universal approximation in random basis expansions with non-continuous weight sampling cites this paper.
On high probability of universal approximation in random basis expansions with non-continuous weight sampling On the Approximation Properties of Random ReLU Features
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T20:43:31.357313Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.