Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Newton-MR algorithm with complexity guarantees for nonconvex smooth unconstrained optimization
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2208.07095.
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 2026-08-09T04:11:15.390246Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T03:19:29.055060Z
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 8a249761-49e7-4163-9b03-5fe38e8a97fb · inbound
First-ish Order Methods: Hessian-aware Scalings of Gradient Descent cites this paper.
First-ish Order Methods: Hessian-aware Scalings of Gradient Descent A Newton-MR algorithm with complexity guarantees for nonconvex smooth unconstrained optimization
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T04:11:15.390246Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4dce74f-96a0-4799-aba9-420207725749 · inbound
Active-set Newton-MR methods for nonconvex optimization problems with bound constraints cites this paper.
Active-set Newton-MR methods for nonconvex optimization problems with bound constraints A Newton-MR algorithm with complexity guarantees for nonconvex smooth unconstrained optimization
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:51:14.749690Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85aeebc0-7018-4902-97f7-7cbefc6493f7 · inbound
Achieving Material Robustness via Symmetric Stress Finite Element Discretizations cites this paper.
Achieving Material Robustness via Symmetric Stress Finite Element Discretizations A Newton-MR algorithm with complexity guarantees for nonconvex smooth unconstrained optimization
Reference 69
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T03:19:29.057386Z
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.