Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fast Unconstrained Optimization via Hessian Averaging and Adaptive Gradient Sampling Methods
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.07268.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:22:50.255739Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:12:08.927508Z
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 cfab3a37-0266-43dc-9eba-2d15a5fafc51 · inbound
Retrospective Approximation Sequential Quadratic Programming for Stochastic Optimization with General Deterministic Nonlinear Constraints cites this paper.
Retrospective Approximation Sequential Quadratic Programming for Stochastic Optimization with General Deterministic Nonlinear Constraints Fast Unconstrained Optimization via Hessian Averaging and Adaptive Gradient Sampling Methods
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:22:50.255739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 280ebcfc-e85c-4036-b722-96a1d56c7574 · inbound
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation cites this paper.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Fast Unconstrained Optimization via Hessian Averaging and Adaptive Gradient Sampling Methods
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:12:09.026281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.