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Paper Citation Record · LEDGER

Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2206.04044.

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

pith.paper-citation-record.v1
2206.04044 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:10:22.373621Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T14:08:21.042363Z

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 ddeba19e-c782-45bc-ad07-ea24804a82ec · inbound

Minimax-Optimal Multi-Agent Robust Reinforcement Learning cites this paper.

Minimax-Optimal Multi-Agent Robust Reinforcement Learning Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games

Reference 2010

Resolution
unresolved
no resolver link, observed 2026-08-11T00:10:22.373621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:10:22.373621Z digest=sha256:c4e074ff6f9a389ee4f4774d506ee2b409b7b05508615893a79e47ddd35d5c7b

Observation b57408f3-7b46-41e3-a3c6-0b48980d9709 · inbound

Adaptive Estimation and Optimal Control in Offline Contextual MDPs without Stationarity cites this paper.

Adaptive Estimation and Optimal Control in Offline Contextual MDPs without Stationarity Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games

Reference 238

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:56:26.449188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-07T13:27:05.081050Z digest=sha256:1491e5af22947d545714da9b45d19c0632032c3f0635222f336e8ffbeb820472

Observation 95adf0a4-71de-4d93-929f-16dcb8e4c6bd · inbound

Sample-efficient inductive matrix completion with noise and inexact side-information cites this paper.

Sample-efficient inductive matrix completion with noise and inexact side-information Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games

Reference 165

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:08:21.043940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-20T14:04:44.364824Z digest=sha256:ee1d55383f53a4d5cb17841b01ee86dcda2967a324e4974b81f7df90971833a8