Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2208.10458.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:10:22.356655Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T14:08:21.088360Z
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 915506fb-b58e-4222-b634-75fc90fcb3ae · inbound
Minimax-Optimal Multi-Agent Robust Reinforcement Learning cites this paper.
Minimax-Optimal Multi-Agent Robust Reinforcement Learning Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:10:22.356655Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7c166cd-a447-49bc-97ec-fe96def33904 · 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 Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model
Reference 161
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T14:08:21.090953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.