Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Game Theory and Multi-Agent Reinforcement Learning : From Nash Equilibria to Evolutionary Dynamics
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.20523.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:16:03.533280Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T20:39:09.115942Z
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 faeda498-a040-4cf2-9d47-07774696dc45 · inbound
A Hybrid Adaptive Nash Equilibrium Solver for Distributed Multi-Agent Systems with Game-Theoretic Jump Triggering cites this paper.
A Hybrid Adaptive Nash Equilibrium Solver for Distributed Multi-Agent Systems with Game-Theoretic Jump Triggering Game Theory and Multi-Agent Reinforcement Learning : From Nash Equilibria to Evolutionary Dynamics
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:16:03.533280Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ecf4e5e5-79fe-4f14-8454-20926d83978f · inbound
Dilution, Diffusion and Symbiosis in Spatial Prisoner's Dilemma with Reinforcement Learning cites this paper.
Dilution, Diffusion and Symbiosis in Spatial Prisoner's Dilemma with Reinforcement Learning Game Theory and Multi-Agent Reinforcement Learning : From Nash Equilibria to Evolutionary Dynamics
Reference 71
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T20:39:09.227460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.