Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Analysis of the Generalization Error: Empirical Risk Minimization over Deep Artificial Neural Networks Overcomes the Curse of Dimensionality in the Numerical Approximation of Black-Scholes Partial Differential Equations
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1809.03062.
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 2026-08-14T14:09:59.860563Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-14T10:39:29.981325Z
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 7e3a4ad6-049e-4597-a8f6-77d7bb36312c · inbound
Space-time error estimates for deep neural network approximations for differential equations cites this paper.
Space-time error estimates for deep neural network approximations for differential equations Analysis of the Generalization Error: Empirical Risk Minimization over Deep Artificial Neural Networks Overcomes the Curse of Dimensionality in the Numerical Approximation of Black-Scholes Partial Differential Equations
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:09:59.860563Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cda85c68-7319-48ea-97eb-f94f9a18a3fc · inbound
Deep neural network approximations for Monte Carlo algorithms cites this paper.
Deep neural network approximations for Monte Carlo algorithms Analysis of the Generalization Error: Empirical Risk Minimization over Deep Artificial Neural Networks Overcomes the Curse of Dimensionality in the Numerical Approximation of Black-Scholes Partial Differential Equations
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T10:39:29.985515Z
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.