Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Provably Efficient Reinforcement Learning with Aggregated States
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1912.06366.
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 2026-08-10T16:18:17.390316Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T14:43:30.928674Z
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 6b58b1e7-c05e-43d9-bd33-fbb2f0f2c266 · inbound
Concurrent Learning with Aggregated States via Randomized Least Squares Value Iteration cites this paper.
Concurrent Learning with Aggregated States via Randomized Least Squares Value Iteration Provably Efficient Reinforcement Learning with Aggregated States
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:18:17.390316Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52561f18-4157-4938-a0b7-cc7beb33b490 · inbound
Reinforcement Learning with Markov Risk Measures and Multipattern Risk Approximation cites this paper.
Reinforcement Learning with Markov Risk Measures and Multipattern Risk Approximation Provably Efficient Reinforcement Learning with Aggregated States
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:31:19.235397Z
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.
Observation 7115f0fa-2545-4a70-a185-8c1f024623ac · inbound
Commit to the Bit: Reactive Reinforcement Learning Done Right cites this paper.
Commit to the Bit: Reactive Reinforcement Learning Done Right Provably Efficient Reinforcement Learning with Aggregated States
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T14:43:30.930108Z
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.
Observation 0f2a81c2-87bc-4dbd-b6a4-e75fd4216a41 · inbound
Commit to the Bit: Reactive Reinforcement Learning Done Right cites this paper.
Commit to the Bit: Reactive Reinforcement Learning Done Right Provably Efficient Reinforcement Learning with Aggregated States
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T02:23:32.975755Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.