Paper Citation Record · LEDGER

Fast Rates for the Regret of Offline Reinforcement Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2102.00479.

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

pith.paper-citation-record.v1
2102.00479 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:32:28.089394Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:49:42.708008Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 a44a7752-1112-4cb5-bf24-a7c2b2e50c65 · inbound

Pessimism-Free Offline Learning in General-Sum Games via KL Regularization cites this paper.

Pessimism-Free Offline Learning in General-Sum Games via KL Regularization Fast Rates for the Regret of Offline Reinforcement Learning

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:09.640502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2f88d481-9f77-467a-80b6-938298c20b59 · inbound

Pessimism-Free Offline Learning in General-Sum Games via KL Regularization cites this paper.

Pessimism-Free Offline Learning in General-Sum Games via KL Regularization Fast Rates for the Regret of Offline Reinforcement Learning

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:39:13.556502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5742e6f2-989f-43a4-8dad-c904850ea9e4 · inbound

Fast Rates in $\alpha$-Potential Games via Regularized Mirror Descent cites this paper.

Fast Rates in $\alpha$-Potential Games via Regularized Mirror Descent Fast Rates for the Regret of Offline Reinforcement Learning

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:41:39.585914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3dcbc21d-8490-4c64-9e8c-5e9b9e9c0ddc · inbound

Fast Rates in $\alpha$-Potential Games via Regularized Mirror Descent cites this paper.

Fast Rates in $\alpha$-Potential Games via Regularized Mirror Descent Fast Rates for the Regret of Offline Reinforcement Learning

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-21T00:39:18.057716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 08d6220a-b30a-4264-9e57-2b38f4a7dddd · inbound

AstroAlertBench: Evaluating the Accuracy, Reasoning, and Honesty of Multimodal LLMs in Astronomical Classification cites this paper.

AstroAlertBench: Evaluating the Accuracy, Reasoning, and Honesty of Multimodal LLMs in Astronomical Classification Fast Rates for the Regret of Offline Reinforcement Learning

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:31:13.839797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b4f01c68-7785-42a3-9df9-991412cbf9e9 · inbound

Offline Two-Player Zero-Sum Markov Games with KL Regularization cites this paper.

Offline Two-Player Zero-Sum Markov Games with KL Regularization Fast Rates for the Regret of Offline Reinforcement Learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:27:52.228522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d366602d-58f9-43e9-b5ee-e58cc22fd6aa · inbound

Stationary Robust Mean-Field Games under Model Mismatches cites this paper.

Stationary Robust Mean-Field Games under Model Mismatches Fast Rates for the Regret of Offline Reinforcement Learning

Reference 233

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:49:42.709364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 27777044-4ec5-4abb-9f4a-a508d243a5d4 · inbound

A Distribution Mapping Approach to Counterfactually Fair Reinforcement Learning cites this paper.

A Distribution Mapping Approach to Counterfactually Fair Reinforcement Learning Fast Rates for the Regret of Offline Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T04:32:28.089394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.