Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Extreme Learning Machine-Based Method for Computational PDEs in Higher Dimensions
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2309.07049.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-24T05:05:09.364176Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T05:06:00.426739Z
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 53032a21-faaa-41c2-b839-f3e4356eae63 · inbound
Universal approximation property of Banach space-valued random feature models including random neural networks cites this paper.
Universal approximation property of Banach space-valued random feature models including random neural networks An Extreme Learning Machine-Based Method for Computational PDEs in Higher Dimensions
Reference 80
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T05:06:00.429539Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.