Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Global Convergence of Adaptive Gradient Methods for An Over-parameterized Neural Network
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1902.07111.
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 2026-08-06T15:23:02.196948Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T14:49:54.792378Z
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 1e34340b-77ae-406e-890d-0acb4ab220b7 · inbound
Adaptive Federated Optimization cites this paper.
Adaptive Federated Optimization Global Convergence of Adaptive Gradient Methods for An Over-parameterized Neural Network
Reference 240
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T10:30:58.888543Z
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.
Observation 957b0717-7373-4e12-b43d-775c388c29a5 · inbound
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models cites this paper.
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models Global Convergence of Adaptive Gradient Methods for An Over-parameterized Neural Network
Reference 28
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T23:00:21.300462Z
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.
Observation 6263265f-3900-4557-9912-dda94b1f97c1 · inbound
Optimization and generalization analysis for two-layer physics-informed neural networks without over-parametrization cites this paper.
Optimization and generalization analysis for two-layer physics-informed neural networks without over-parametrization Global Convergence of Adaptive Gradient Methods for An Over-parameterized Neural Network
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:23:02.196948Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation acdd33ea-9f9c-4dc0-947a-69d1f7c30e54 · inbound
A Theory on Flow Matching with Neural Networks cites this paper.
A Theory on Flow Matching with Neural Networks Global Convergence of Adaptive Gradient Methods for An Over-parameterized Neural Network
Reference 55
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T00:57:29.403454Z
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.
Observation 21dea536-f49e-46f9-b476-d4750f78a239 · inbound
Estimation of High Dimensional Bounded Discrete Graphical Models via Regularized Generalized Score Matching cites this paper.
Estimation of High Dimensional Bounded Discrete Graphical Models via Regularized Generalized Score Matching Global Convergence of Adaptive Gradient Methods for An Over-parameterized Neural Network
Reference 188
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T14:49:54.794964Z
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.