Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Finite-Sample Analysis of Nonlinear Stochastic Approximation with Applications in Reinforcement Learning
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1905.11425.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:42:06.521351Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T13:01:34.164914Z
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 7e609893-30bb-41a1-8138-b0da64aa5543 · inbound
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations cites this paper.
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations Finite-Sample Analysis of Nonlinear Stochastic Approximation with Applications in Reinforcement Learning
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:42:06.521351Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5fceff64-04df-4314-b91f-950266acc634 · inbound
Corruption-Tolerant Asynchronous Q-Learning with Near-Optimal Rates cites this paper.
Corruption-Tolerant Asynchronous Q-Learning with Near-Optimal Rates Finite-Sample Analysis of Nonlinear Stochastic Approximation with Applications in Reinforcement Learning
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:01:34.168035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.