Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Role of Environment Access in Agnostic Reinforcement Learning
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.05405.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:14:55.367289Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T19:56:46.700343Z
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 e3ea3dba-1c28-43c9-8b96-cb5c678c4cea · inbound
Semiparametric Off-Policy Inference for Optimal Policy Values under Possible Non-Uniqueness cites this paper.
Semiparametric Off-Policy Inference for Optimal Policy Values under Possible Non-Uniqueness The Role of Environment Access in Agnostic Reinforcement Learning
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:14:55.367289Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae6355d2-53d5-4006-bf07-89d30cbf6a5e · inbound
Convergence and Sample Complexity of First-Order Methods for Agnostic Reinforcement Learning cites this paper.
Convergence and Sample Complexity of First-Order Methods for Agnostic Reinforcement Learning The Role of Environment Access in Agnostic Reinforcement Learning
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:56:46.744379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b5bcdfdd-b616-45de-ab90-3c1e8ec7760b · inbound
The Sample Complexity of Policy Learning with Mu-Resets cites this paper.
The Sample Complexity of Policy Learning with Mu-Resets The Role of Environment Access in Agnostic Reinforcement Learning
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:30:41.384552Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.