Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Characterization of Gradient Dominance and Regularity Conditions for Neural Networks
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1710.06910.
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 2026-08-14T10:41:34.821062Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T05:00:54.309754Z
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 598cf54c-9e46-4430-98ab-611d38964c93 · inbound
Stochastic AUC Maximization with Deep Neural Networks cites this paper.
Stochastic AUC Maximization with Deep Neural Networks Characterization of Gradient Dominance and Regularity Conditions for Neural Networks
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:41:34.821062Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39537916-36ff-47de-9feb-b8794e02f735 · inbound
Locally Near Optimal Piecewise Linear Regression in High Dimensions via Difference of Max-Affine Functions cites this paper.
Locally Near Optimal Piecewise Linear Regression in High Dimensions via Difference of Max-Affine Functions Characterization of Gradient Dominance and Regularity Conditions for Neural Networks
Reference 110
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T22:17:19.288211Z
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.