Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraints
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1706.00476.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:06:58.688403Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-14T13:26:19.247941Z
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 d0a3c167-0f84-4774-99be-8806a303ce7b · inbound
A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics cites this paper.
A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics The Mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraints
Reference 116
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T13:26:19.264958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ae503df0-58df-4cea-ba82-4fbabeaf4da7 · inbound
Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality cites this paper.
Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality The Mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraints
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:06:58.688403Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1de4bd84-4b22-407f-9901-276eacde85db · inbound
The Augmented Mixing Method: Computing High-Accuracy Primal-Dual Solutions to Large-Scale SDPs via Column Updates cites this paper.
The Augmented Mixing Method: Computing High-Accuracy Primal-Dual Solutions to Large-Scale SDPs via Column Updates The Mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraints
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:48:01.414317Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.