Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Huber Loss-Based Penalty Approach to Problems with Linear Constraints
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.00874.
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 2026-08-09T21:05:04.845527Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T21:05:04.992635Z
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 2afc5e96-421a-4736-8f4e-431d143840b4 · 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 Huber Loss-Based Penalty Approach to Problems with Linear Constraints
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T21:05:04.998526Z
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.
Observation 2446e0df-dcef-4d59-b246-bfdb8dd8af72 · inbound
Randomized Feasibility Methods for Constrained Optimization with Adaptive Step Sizes cites this paper.
Randomized Feasibility Methods for Constrained Optimization with Adaptive Step Sizes Huber Loss-Based Penalty Approach to Problems with Linear Constraints
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T07:44:28.903794Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.