Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Game-Theoretic Model and Best-Response Learning Method for Ad Hoc Coordination in Multiagent Systems
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1506.01170.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T23:14:16.301547Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-03T07:57:44.574102Z
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 277fe8ca-e74c-4191-b180-1f186fb1057b · inbound
Single-Agent Planning in a Multi-Agent System: A Unified Framework for Type-Based Planners cites this paper.
Single-Agent Planning in a Multi-Agent System: A Unified Framework for Type-Based Planners A Game-Theoretic Model and Best-Response Learning Method for Ad Hoc Coordination in Multiagent Systems
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:14:16.301547Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87da9f9c-fa1e-4642-aacc-9de5109cebad · inbound
Wireless Communication Enhanced Value Decomposition for Multi-Agent Reinforcement Learning cites this paper.
Wireless Communication Enhanced Value Decomposition for Multi-Agent Reinforcement Learning A Game-Theoretic Model and Best-Response Learning Method for Ad Hoc Coordination in Multiagent Systems
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:41:01.325374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0800cf67-6e8f-4516-b0d4-e6d09c763380 · inbound
Leveraging Machine-Learned Advice in Strategic Interactions with No-Regret Learners cites this paper.
Leveraging Machine-Learned Advice in Strategic Interactions with No-Regret Learners A Game-Theoretic Model and Best-Response Learning Method for Ad Hoc Coordination in Multiagent Systems
Reference 182
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T07:57:44.576987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.