Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Diagnosing Reinforcement Learning for Traffic Signal Control
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1905.04716.
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 2026-08-15T19:59:17.419876Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T17:36:58.386050Z
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 2d8ab515-733f-4988-9be4-d5d4551a7d86 · inbound
A Stochastic Differential Equation Framework for Modeling Queue Length Dynamics Inspired by Self-Similarity cites this paper.
A Stochastic Differential Equation Framework for Modeling Queue Length Dynamics Inspired by Self-Similarity Diagnosing Reinforcement Learning for Traffic Signal Control
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:59:17.419876Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80fb181e-66a0-43b1-bf8c-f4fd0c3844b9 · inbound
Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control cites this paper.
Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control Diagnosing Reinforcement Learning for Traffic Signal Control
Reference 2002
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:43:43.997788Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab9e89f0-39e3-4928-92d6-b20a77048314 · inbound
GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy cites this paper.
GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Diagnosing Reinforcement Learning for Traffic Signal Control
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T17:36:58.456296Z
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.