Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Scalable Derivative-Free Optimization Algorithms with Low-Dimensional Subspace Techniques
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.04536.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:23:34.729934Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T20:06:11.278219Z
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 fabb12f2-4884-40b8-9a1c-c638ec3348a0 · inbound
A Model-Based Derivative-Free Optimization Algorithm for Partially Separable Problems cites this paper.
A Model-Based Derivative-Free Optimization Algorithm for Partially Separable Problems Scalable Derivative-Free Optimization Algorithms with Low-Dimensional Subspace Techniques
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:23:34.729934Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47b63c24-0954-4931-8f97-fe6073b40254 · inbound
Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy cites this paper.
Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy Scalable Derivative-Free Optimization Algorithms with Low-Dimensional Subspace Techniques
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:04:57.235709Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49f3db14-d990-4652-b7a4-fc2bd2e3d8bc · inbound
BUP-TR: Bayesian Underdetermined Projection Trust-Region Methods for Derivative-Free Optimization cites this paper.
BUP-TR: Bayesian Underdetermined Projection Trust-Region Methods for Derivative-Free Optimization Scalable Derivative-Free Optimization Algorithms with Low-Dimensional Subspace Techniques
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T20:06:11.281475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.