Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2209.03859.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:42:49.744069Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
8
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 696121d7-a3fe-4624-aa0e-322df50c2068 · inbound
Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review cites this paper.
Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:42:49.744069Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8ad4a88-52af-4bf9-9123-78dce2a09b4e · inbound
A Survey of Context Engineering for Large Language Models cites this paper.
A Survey of Context Engineering for Large Language Models A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning
Reference 196
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:58:45.177517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3de97e94-4edd-4bd3-a2ea-7040a6649e10 · inbound
Mean Field Reinforcement Learning cites this paper.
Mean Field Reinforcement Learning A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T19:08:49.242688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.