Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Centralized Model and Exploration Policy for Multi-Agent RL
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2107.06434.
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 2026-08-10T23:41:29.426556Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T17:42:59.335272Z
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 943550ca-394a-4333-9125-5ca4aae18f3b · inbound
Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search cites this paper.
Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search Centralized Model and Exploration Policy for Multi-Agent RL
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:41:29.426556Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 803600ed-0a8f-400e-8cfa-7703b2e8c208 · inbound
Cooperative Patrol Routing: Optimizing Urban Crime Surveillance through Multi-Agent Reinforcement Learning cites this paper.
Cooperative Patrol Routing: Optimizing Urban Crime Surveillance through Multi-Agent Reinforcement Learning Centralized Model and Exploration Policy for Multi-Agent RL
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:35:48.250556Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 615c251b-16ed-45fd-ba04-a7212c1dff1c · inbound
Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review cites this paper.
Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Centralized Model and Exploration Policy for Multi-Agent RL
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T17:42:59.338847Z
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.