Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.01843.
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 2026-08-10T13:46:18.307029Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T13:46:18.575630Z
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 fbfe318f-bf57-4fa4-83c3-f38695fd0e7e · inbound
Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach cites this paper.
Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-10T13:46:18.585626Z
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.
Observation 84c11b3d-0c87-4386-92af-c82dfaa666dd · inbound
Foundations of Reinforcement Learning and Control:Connections and New Perspectives cites this paper.
Foundations of Reinforcement Learning and Control:Connections and New Perspectives Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:32:30.134695Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.