Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2107.06226.
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 2026-08-15T20:54:55.141228Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T06:56:30.498428Z
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 17fc7772-cfc9-4e89-83f4-c044a97f4ba1 · inbound
Coverage Analysis for Digital Cousin Selection -- Improving Multi-Environment Q-Learning cites this paper.
Coverage Analysis for Digital Cousin Selection -- Improving Multi-Environment Q-Learning Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:48:16.932746Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e91b53c-552f-45e5-ad6e-80d394d79687 · inbound
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning cites this paper.
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Reference 88
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:26:49.408990Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e85835dc-8906-4722-9733-ff1e53d889d0 · inbound
Adaptive Resolving Methods for Reinforcement Learning with Function Approximations cites this paper.
Adaptive Resolving Methods for Reinforcement Learning with Function Approximations Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:54:55.141228Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32fd6239-8a15-4a5e-8b43-1d4eb839d10e · inbound
Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment cites this paper.
Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:45:01.676167Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8db989ba-9fbf-4274-ac81-a29ba1ce6776 · inbound
On the Complexity of Offline Reinforcement Learning with $Q^\star$-Approximation and Partial Coverage cites this paper.
On the Complexity of Offline Reinforcement Learning with $Q^\star$-Approximation and Partial Coverage Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:05:19.800270Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30fc32bc-9a4e-4375-ab69-e2d49f92b646 · 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 Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T12:55:24.131199Z
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 865a1e46-3de7-4037-b004-c9bae69ce8fd · inbound
On the Optimal Sample Complexity of Offline Multi-Armed Bandits with KL Regularization cites this paper.
On the Optimal Sample Complexity of Offline Multi-Armed Bandits with KL Regularization Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T05:45:22.273049Z
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 ed23f370-ad7b-40a7-8e39-6407411e183a · inbound
Fast Rates for Offline Contextual Bandits with Forward-KL Regularization under Single-Policy Concentrability cites this paper.
Fast Rates for Offline Contextual Bandits with Forward-KL Regularization under Single-Policy Concentrability Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:56:30.506981Z
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.