Paper Citation Record · LEDGER

The Challenges of Exploration for Offline Reinforcement Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2201.11861.

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

pith.paper-citation-record.v1
2201.11861 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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:14:53.673901Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T03:08:59.576204Z

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 eb952f6b-4f00-45dd-85b8-f8fecc5cd21a · inbound

Iterative Batch Reinforcement Learning via Safe Diversified Model-based Policy Search cites this paper.

Iterative Batch Reinforcement Learning via Safe Diversified Model-based Policy Search The Challenges of Exploration for Offline Reinforcement Learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T20:47:41.274317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a03cccb-ef8c-4ab1-b27c-4eed5d63a55d · inbound

Sparse-Reg: Improving Sample Complexity in Offline Reinforcement Learning using Sparsity cites this paper.

Sparse-Reg: Improving Sample Complexity in Offline Reinforcement Learning using Sparsity The Challenges of Exploration for Offline Reinforcement Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T19:14:53.673901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3d698d3-d6f9-4d7c-82aa-0348fb02cc16 · inbound

Unsupervised Data Generation for Offline Reinforcement Learning: A Perspective from Model cites this paper.

Unsupervised Data Generation for Offline Reinforcement Learning: A Perspective from Model The Challenges of Exploration for Offline Reinforcement Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T18:36:09.983800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29d57b13-7a25-4cb6-96c9-1feb36e55bda · inbound

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling cites this paper.

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling The Challenges of Exploration for Offline Reinforcement Learning

Reference 126

Resolution: verified exact; arxiv_id, observed 2026-05-15T03:08:59.579203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.