Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Using a Deep Reinforcement Learning Agent for Traffic Signal Control
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1611.01142.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:45:25.766345Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-14T05:57:08.644155Z
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 514c4ab2-b2c7-4965-908a-2ba94072deeb · inbound
Large-scale traffic signal control using machine learning: some traffic flow considerations cites this paper.
Large-scale traffic signal control using machine learning: some traffic flow considerations Using a Deep Reinforcement Learning Agent for Traffic Signal Control
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:45:25.766345Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dcca7f56-7db5-48d8-99db-89aa8cb4d87b · inbound
An Open-Source Framework for Adaptive Traffic Signal Control cites this paper.
An Open-Source Framework for Adaptive Traffic Signal Control Using a Deep Reinforcement Learning Agent for Traffic Signal Control
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T05:57:08.648120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b00a7704-e3ec-4e00-8751-e049733a0bf2 · inbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control cites this paper.
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Using a Deep Reinforcement Learning Agent for Traffic Signal Control
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T14:44:28.797978Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.