Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.16644.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T19:59:24.232239Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T10:16:08.057068Z
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 08e608fa-d7a4-42e2-9505-54fcc5a531bc · inbound
Online Covariance Estimation in Nonsmooth Stochastic Approximation cites this paper.
Online Covariance Estimation in Nonsmooth Stochastic Approximation Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:59:24.232239Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a60c6772-1158-4b4f-8464-d0ee5fc23ab9 · inbound
Online Covariance Estimation in Averaged SGD: Improved Batch-Mean Rates and Minimax Optimality via Trajectory Regression cites this paper.
Online Covariance Estimation in Averaged SGD: Improved Batch-Mean Rates and Minimax Optimality via Trajectory Regression Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:16:08.062974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.