Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2009.13586.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:14:11.828573Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-04T21:06:27.496985Z
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 09322ef1-6833-4cf9-adcc-942a01b62910 · inbound
Towards Practical Second-Order Optimizers in Deep Learning: Insights from Fisher Information Analysis cites this paper.
Towards Practical Second-Order Optimizers in Deep Learning: Insights from Fisher Information Analysis Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:14:11.828573Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation efb8ff2f-4d00-401a-a269-58c72959f69e · inbound
Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization cites this paper.
Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization
Reference 149
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T21:06:27.500979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.