Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2102.00815.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T10:03:30.180905Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T12:06:55.867445Z
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 10c998ed-53b6-4904-8ad3-5c7c84b0ce88 · inbound
Pretraining in Actor-Critic Reinforcement Learning for Locomotion cites this paper.
Pretraining in Actor-Critic Reinforcement Learning for Locomotion Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T10:03:30.180905Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e24ab0d4-157d-4216-97c8-f8ac4b9195ff · inbound
Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification cites this paper.
Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T12:06:55.868841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2eeeaa26-75c1-419d-b9cd-806e775a7417 · inbound
Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification cites this paper.
Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T18:23:21.126826Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.