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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.

pith.paper-citation-record.v1
2208.10458 v2

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:10:22.356655Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T14:08:21.088360Z

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.

source=pdf_text observed=2026-08-11T00:10:22.356655Z digest=sha256:11ee4f084eec8808250f30952c689293e822c3fbf33c9484e748f56fd11fc82f

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-20T14:04:44.364824Z digest=sha256:bb94edb63820fee75a761f0c56bcce4ee9818c31a4ed95cf1f3b5ff8ce1e83c8