Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A globally convergent difference-of-convex algorithmic framework and application to log-determinant optimization problems
As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.02001.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:58:52.383649Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T05:15:22.648203Z
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 06557529-3c46-45f8-8c8a-b989c6030587 · inbound
Deep Unfolding of Fixed-Point Based Algorithm for Weighted Sum Rate Maximization cites this paper.
Deep Unfolding of Fixed-Point Based Algorithm for Weighted Sum Rate Maximization A globally convergent difference-of-convex algorithmic framework and application to log-determinant optimization problems
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:33:15.063077Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation abedb025-0b83-4c98-ad85-4675f320dfbf · inbound
Proximal DCA for Fr\'echet Regression on Riemannian Manifolds with Bounded Curvature cites this paper.
Proximal DCA for Fr\'echet Regression on Riemannian Manifolds with Bounded Curvature A globally convergent difference-of-convex algorithmic framework and application to log-determinant optimization problems
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:15:22.653435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fe2a435a-126f-46a6-9aa5-54afd3304429 · inbound
Difference-of-Convex Regularization for Graph Learning by Differentiable Programming cites this paper.
Difference-of-Convex Regularization for Graph Learning by Differentiable Programming A globally convergent difference-of-convex algorithmic framework and application to log-determinant optimization problems
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:58:52.383649Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.