Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Variance-reduced first-order methods for deterministically constrained stochastic nonconvex optimization with strong convergence guarantees
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.09906.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:36:35.114206Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T15:43:29.943615Z
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 affeaae5-886d-4c6c-aab9-b2f652e98e82 · inbound
A stochastic first-order method with multi-extrapolated momentum for highly smooth unconstrained optimization cites this paper.
A stochastic first-order method with multi-extrapolated momentum for highly smooth unconstrained optimization Variance-reduced first-order methods for deterministically constrained stochastic nonconvex optimization with strong convergence guarantees
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:21:12.055161Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7c5eb8c-e037-485f-9610-fb0d51029b20 · inbound
Single-loop $\mathcal{O}(\epsilon^{-3})$ stochastic smoothing algorithms for nonsmooth Riemannian optimization cites this paper.
Single-loop $\mathcal{O}(\epsilon^{-3})$ stochastic smoothing algorithms for nonsmooth Riemannian optimization Variance-reduced first-order methods for deterministically constrained stochastic nonconvex optimization with strong convergence guarantees
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:36:35.114206Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bc85aaa-db3c-4ccc-8e2f-d9c523a7e406 · inbound
Exact Reformulation and Optimization for Direct Metric Optimization in Binary Imbalanced Classification cites this paper.
Exact Reformulation and Optimization for Direct Metric Optimization in Binary Imbalanced Classification Variance-reduced first-order methods for deterministically constrained stochastic nonconvex optimization with strong convergence guarantees
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T15:43:30.050806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.