Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Randomized Kaczmarz Methods with Beyond-Krylov Convergence
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.11673.
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 2026-08-06T17:14:09.374465Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T07:35:57.140507Z
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 0253e6df-d79a-4172-b0a0-81aea3809f53 · inbound
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure cites this paper.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Randomized Kaczmarz Methods with Beyond-Krylov Convergence
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:14:09.374465Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91546ce5-0fef-46f0-9642-ad475273b6c7 · inbound
A Sketch-and-Project Analysis of Subsampled Natural Gradient Algorithms cites this paper.
A Sketch-and-Project Analysis of Subsampled Natural Gradient Algorithms Randomized Kaczmarz Methods with Beyond-Krylov Convergence
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:49:00.238671Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21efe7cb-f4af-475b-9cac-bc243d457e4f · inbound
From Recency Bias to Stable Convergence Block Kaczmarz Methods for Online Preference Learning in Matchmaking Applications cites this paper.
From Recency Bias to Stable Convergence Block Kaczmarz Methods for Online Preference Learning in Matchmaking Applications Randomized Kaczmarz Methods with Beyond-Krylov Convergence
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:35:57.145008Z
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.