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Paper Citation Record · LEDGER

Diagnosing Reinforcement Learning for Traffic Signal Control

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1905.04716.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1905.04716 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:43:43.997788Z

measured 0 of 1 external citation measurements

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 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.

source=pdf_text observed=2026-08-06T15:43:43.997788Z digest=sha256:1efc9129c6b055edf6597e608c4b5b9d708dad42eaf61ec23e4b2af824963367

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:36:54.160658Z digest=sha256:8ca0fd3964888264a8a178dd9cf9859413445601e08f61e573aa4363913d644a