Paper Citation Record · LEDGER

An Optimistic Perspective on Offline Reinforcement Learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1907.04543.

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

pith.paper-citation-record.v1
1907.04543 v4

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 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:02:40.845258Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T19:29:21.583372Z

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 f5c71f76-acb0-4258-8d31-5b61f67e85fa · inbound

Benchmarking Batch Deep Reinforcement Learning Algorithms cites this paper.

Benchmarking Batch Deep Reinforcement Learning Algorithms An Optimistic Perspective on Offline Reinforcement Learning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-17T19:29:21.590209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b92ebeef-a629-4390-b315-c341af45c056 · inbound

Behavior Regularized Offline Reinforcement Learning cites this paper.

Behavior Regularized Offline Reinforcement Learning An Optimistic Perspective on Offline Reinforcement Learning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-13T15:19:21.390202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9d105f69-33c7-4adb-81a9-7687973170b2 · inbound

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems cites this paper.

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems An Optimistic Perspective on Offline Reinforcement Learning

Reference 272

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:33:21.499712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 94ef4ee5-0439-4c26-8dab-1d6763ecea40 · inbound

Multi-Objective Reinforcement Learning for Automated Resilient Cyber Defence cites this paper.

Multi-Objective Reinforcement Learning for Automated Resilient Cyber Defence An Optimistic Perspective on Offline Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T12:02:40.845258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.