Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1909.10651.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:17:51.536129Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T00:04:06.027195Z
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 39f06acf-1f4d-4eeb-b08a-eaa1ffd97f4b · inbound
TACTIC: Task-Agnostic Contrastive pre-Training for Inter-Agent Communication cites this paper.
TACTIC: Task-Agnostic Contrastive pre-Training for Inter-Agent Communication Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:17:51.536129Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6cf19cde-1480-4333-8493-7737fcd7dd97 · inbound
Scaling up Energy-Aware Multi-Agent Reinforcement Learning for Mission-Oriented Drone Networks with Individual Reward cites this paper.
Scaling up Energy-Aware Multi-Agent Reinforcement Learning for Mission-Oriented Drone Networks with Individual Reward Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T00:04:06.028811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.