Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Nonoverlapping Domain Decomposition Method for Extreme Learning Machines: Elliptic Problems
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.15959.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:55:34.914750Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T22:11:15.335188Z
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 e9c5dbc4-f4e5-414b-a27b-e9f9673d0912 · inbound
Are Two Hidden Layers Still Enough for the Physics-Informed Neural Networks? cites this paper.
Are Two Hidden Layers Still Enough for the Physics-Informed Neural Networks? A Nonoverlapping Domain Decomposition Method for Extreme Learning Machines: Elliptic Problems
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:55:34.914750Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ba103a0-3bf0-44da-9e67-561b67c215c0 · inbound
Orthogonal greedy algorithm for linear operator learning with shallow neural network cites this paper.
Orthogonal greedy algorithm for linear operator learning with shallow neural network A Nonoverlapping Domain Decomposition Method for Extreme Learning Machines: Elliptic Problems
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T22:11:15.339943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.