Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the non-ergodic convergence rate of an inexact augmented Lagrangian framework for composite convex programming
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1603.05738.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T21:05:04.837510Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T21:05:05.008393Z
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 c0d4cd03-2280-45d3-8b7e-4e9b1df0674b · inbound
A single-loop SPIDER-type stochastic subgradient method for expectation-constrained nonconvex nonsmooth optimization cites this paper.
A single-loop SPIDER-type stochastic subgradient method for expectation-constrained nonconvex nonsmooth optimization On the non-ergodic convergence rate of an inexact augmented Lagrangian framework for composite convex programming
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T21:05:05.011848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.