Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Markov Chain Theory Approach to Characterizing the Minimax Optimality of Stochastic Gradient Descent (for Least Squares)
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1710.09430.
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 2026-08-05T18:41:17.589351Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T18:41:22.504093Z
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 adedd71d-8d4a-4fc1-af59-3aca0247fecb · inbound
On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks cites this paper.
On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks A Markov Chain Theory Approach to Characterizing the Minimax Optimality of Stochastic Gradient Descent (for Least Squares)
Reference 29
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T18:41:22.593576Z
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.
Observation 3b5ce679-d2f7-4092-aa1b-8d95d27549b7 · inbound
Seesaw: Accelerating Training by Balancing Learning Rate and Batch Size Scheduling cites this paper.
Seesaw: Accelerating Training by Balancing Learning Rate and Batch Size Scheduling A Markov Chain Theory Approach to Characterizing the Minimax Optimality of Stochastic Gradient Descent (for Least Squares)
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:38:48.774020Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.