Paper Citation Record · LEDGER

Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2202.13890.

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

pith.paper-citation-record.v1
2202.13890 v2

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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:45:51.310714Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

8
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 08f0f9f1-6674-45f7-809c-eb401a3af3e2 · inbound

Offline Learning for Combinatorial Multi-armed Bandits cites this paper.

Offline Learning for Combinatorial Multi-armed Bandits Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T20:45:51.310714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54a9079e-cebd-44c1-ad05-ab140499b496 · inbound

Mitigating Data Scarcity in Spaceflight Applications for Offline Reinforcement Learning Using Physics-Informed Deep Generative Models cites this paper.

Mitigating Data Scarcity in Spaceflight Applications for Offline Reinforcement Learning Using Physics-Informed Deep Generative Models Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:38:18.429878Z

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 94743818-adde-4b57-b13c-328ea9f1bf65 · inbound

Adaptive Estimation and Optimal Control in Offline Contextual MDPs without Stationarity cites this paper.

Adaptive Estimation and Optimal Control in Offline Contextual MDPs without Stationarity Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity

Reference 248

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:56:26.464421Z

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 99ae8463-a913-4a36-81f1-f0d42bc21231 · inbound

Improved Model-based Reinforcement Learning with Smooth Kernels cites this paper.

Improved Model-based Reinforcement Learning with Smooth Kernels Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:15:56.810729Z

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.