Paper Citation Record · LEDGER

Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2203.05804.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2203.05804 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:19:16.655914Z

measured 0 of 1 external citation measurements

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 f70001a6-1588-4923-87c0-ef8e60fa4023 · inbound

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures cites this paper.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.655914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.