Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2005.10804.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:32:45.004845Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T12:06:55.882039Z
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 20199f8d-0569-4c55-bec8-a71a86667fb2 · inbound
Constrained Online Decision-Making: A Unified Framework cites this paper.
Constrained Online Decision-Making: A Unified Framework Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:32:45.004845Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ffcba04f-8c7d-4ce4-82ab-8876e7413b10 · inbound
Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification cites this paper.
Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T12:06:55.883570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 34538777-5d01-4780-a822-09a6156e2127 · inbound
Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification cites this paper.
Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T18:23:21.126826Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.