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Paper Citation Record · LEDGER

A Tutorial: An Intuitive Explanation of Offline Reinforcement Learning Theory

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2508.07746.

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

pith.paper-citation-record.v1
2508.07746 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:05:18.414526Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 1bd3bbeb-c529-4353-901c-c5f1d92f2bba · 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 A Tutorial: An Intuitive Explanation of Offline Reinforcement Learning Theory

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T00:05:18.414526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:05:18.414526Z digest=sha256:2e8c018f31cbc6dbc7f04963babaacd06d91929373086f361538867ecb8e9a9b