Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.05804.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:51:17.105267Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T12:38:16.756881Z
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 f8fd36ff-4ce6-4f2f-bf7d-a6798274c259 · inbound
Quantile-Optimal Policy Learning under Unmeasured Confounding cites this paper.
Quantile-Optimal Policy Learning under Unmeasured Confounding Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:51:17.105267Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ac93ea6-8707-452d-9bae-0fa87e6b7c2a · inbound
Provably Efficient Offline-to-Online Value Adaptation with General Function Approximation cites this paper.
Provably Efficient Offline-to-Online Value Adaptation with General Function Approximation Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T12:55:24.127153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2814b34a-d4e4-4b40-be2d-a0c4b750067f · inbound
Privacy Preserving Reinforcement Learning with One-Sided Feedback cites this paper.
Privacy Preserving Reinforcement Learning with One-Sided Feedback Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism
Reference 96
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T12:38:16.759079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.