Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizer
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2209.14937.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T14:57:46.173330Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T00:24:04.907508Z
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 e15d7023-7857-49bb-9672-d2c6c8c4d130 · inbound
Dynamic Low-rank Approximation of Full-Matrix Preconditioner for Training Generalized Linear Models cites this paper.
Dynamic Low-rank Approximation of Full-Matrix Preconditioner for Training Generalized Linear Models NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizer
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:57:46.173330Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e34dba4f-91af-4f25-ac6a-d1042a447519 · inbound
IRON: Implicit Resolvent Optimization under Noise cites this paper.
IRON: Implicit Resolvent Optimization under Noise NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizer
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:41:08.118678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 124b0cd5-5f8e-4475-bd91-cb0a8cbe9945 · inbound
Prox-NAG-GS: A Semi-Implicit Proximal Method for Composite Optimization cites this paper.
Prox-NAG-GS: A Semi-Implicit Proximal Method for Composite Optimization NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizer
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T00:24:04.908581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.