Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Near Sample-Optimal Reduction-based Policy Learning for Average Reward MDP
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2212.00603.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T22:48:32.824182Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T18:55:59.140544Z
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 32ab1a26-20b5-443f-9542-807e6181f9e3 · inbound
Near-Optimal Sample Complexity for MDPs via Anchoring cites this paper.
Near-Optimal Sample Complexity for MDPs via Anchoring Near Sample-Optimal Reduction-based Policy Learning for Average Reward MDP
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T22:48:32.824182Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5de33fd-8f62-47de-b381-294e48cdd827 · inbound
Efficient Q-Learning and Actor-Critic Methods for Robust Average-Reward Reinforcement Learning cites this paper.
Efficient Q-Learning and Actor-Critic Methods for Robust Average-Reward Reinforcement Learning Near Sample-Optimal Reduction-based Policy Learning for Average Reward MDP
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:54:11.972128Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f54689f6-5d42-400b-a9bf-f0e1dfc99477 · inbound
A Bit of Freedom Goes a Long Way: Classical and Quantum Algorithms for Reinforcement Learning under a Generative Model cites this paper.
A Bit of Freedom Goes a Long Way: Classical and Quantum Algorithms for Reinforcement Learning under a Generative Model Near Sample-Optimal Reduction-based Policy Learning for Average Reward MDP
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:22:57.865812Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 287162d5-da44-4a40-a323-5ea354c2632d · inbound
A Minimal-Assumption Analysis of Q-Learning with Time-Varying Policies cites this paper.
A Minimal-Assumption Analysis of Q-Learning with Time-Varying Policies Near Sample-Optimal Reduction-based Policy Learning for Average Reward MDP
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T05:50:57.135525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 74e3f11d-0540-4342-bec9-7f8b67a8098c · inbound
Learning in Markovian bandits with non-observable states and constrained decision epochs cites this paper.
Learning in Markovian bandits with non-observable states and constrained decision epochs Near Sample-Optimal Reduction-based Policy Learning for Average Reward MDP
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T18:55:59.142261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.