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Paper Citation Record · LEDGER

KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.14211.

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

pith.paper-citation-record.v1
2205.14211 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T17:33:36.210383Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:06:13.266430Z

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 b0d1ff67-e297-4318-b548-71ab638ce5d2 · inbound

Fast Rates for Offline Contextual Bandits with Forward-KL Regularization under Single-Policy Concentrability cites this paper.

Fast Rates for Offline Contextual Bandits with Forward-KL Regularization under Single-Policy Concentrability KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:56:30.911546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-12T03:47:14.379908Z digest=sha256:e93d671bc8d2f1d43efe9667e726731f4308dc17001260af576237dad409876b

Observation 5e2d0ce6-d1eb-4304-a6d2-9ed67c71ef7b · inbound

Efficient Exploration for Iterative Nash Preference Optimization cites this paper.

Efficient Exploration for Iterative Nash Preference Optimization KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal

Reference 106

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:06:13.267984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T17:33:36.210383Z digest=sha256:bbfd156f8376698c989f099aa9a2266e25d40bd9de03af78dffa6e6f2c531ba3