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Paper Citation Record · LEDGER

Supported Policy Optimization for Offline Reinforcement Learning

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2202.06239.

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

pith.paper-citation-record.v1
2202.06239 v3

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 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:45:06.066351Z

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

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  • 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 ce406023-6086-4579-b506-de5ae088690c · inbound

Reinforcement Learning: From Algorithms To Foundation Models cites this paper.

Reinforcement Learning: From Algorithms To Foundation Models Supported Policy Optimization for Offline Reinforcement Learning

Reference 103

Resolution
unresolved
no resolver link, observed 2026-08-01T17:45:06.066351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:45:06.066351Z digest=sha256:2821bae6fbf682ee97aaef9daeed94b4dfdbc5e60436830e6cc1697fc647397e