Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Universal approximation results for neural networks with non-polynomial activation function over non-compact domains
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.14759.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:26:50.329080Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T04:55:23.404231Z
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 32110833-2e30-498f-b055-3ddc7b171dc5 · 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 Universal approximation results for neural networks with non-polynomial activation function over non-compact domains
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T05:06:00.387824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation de0a5a18-4943-49b3-87de-d696a478000b · inbound
Distributionally Robust Deep Q-Learning cites this paper.
Distributionally Robust Deep Q-Learning Universal approximation results for neural networks with non-polynomial activation function over non-compact domains
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:26:50.329080Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41c815fd-3429-46c8-b519-d31c57685321 · inbound
Any-Dimensional Invariant Universality cites this paper.
Any-Dimensional Invariant Universality Universal approximation results for neural networks with non-polynomial activation function over non-compact domains
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T04:55:23.407571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.