Paper Citation Record · LEDGER

A Survey on Traffic Signal Control Methods

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:1904.08117.

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

pith.paper-citation-record.v1
1904.08117 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:59:09.632162Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-29T09:03:15.808825Z

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 bce8d1f0-4927-4b6d-a118-87d6cf6c2dec · inbound

A Review of Cooperative Multi-Agent Deep Reinforcement Learning cites this paper.

A Review of Cooperative Multi-Agent Deep Reinforcement Learning A Survey on Traffic Signal Control Methods

Reference 199

Resolution: unresolved; no resolver link, observed 2026-08-14T13:59:09.632162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1762eaed-67be-4f64-9468-11857fd5aa84 · inbound

TransferLight: Zero-Shot Traffic Signal Control on any Road-Network cites this paper.

TransferLight: Zero-Shot Traffic Signal Control on any Road-Network A Survey on Traffic Signal Control Methods

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T16:54:31.184726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32d1baf8-8d98-4f3f-9e00-e517276008f7 · inbound

Planning Under Observation Mismatch for Traffic Signal Control via Adaptive Modular World Models cites this paper.

Planning Under Observation Mismatch for Traffic Signal Control via Adaptive Modular World Models A Survey on Traffic Signal Control Methods

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:15:27.570354Z

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 d25d7a10-4f8d-4e56-a42e-373fd228b6e9 · inbound

Optimizing Efficiency of Mixed Traffic through Reinforcement Learning: A Topology-Independent Approach and Benchmark cites this paper.

Optimizing Efficiency of Mixed Traffic through Reinforcement Learning: A Topology-Independent Approach and Benchmark A Survey on Traffic Signal Control Methods

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T11:10:44.811309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78bcd8ff-fb81-4931-8142-acac98c62cd7 · inbound

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model cites this paper.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model A Survey on Traffic Signal Control Methods

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T22:19:04.098586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8982567-4468-45ae-a849-6732fb15d5c4 · 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 A Survey on Traffic Signal Control Methods

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T15:43:43.637077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de719cad-ae29-4ad3-891f-6aff44b74535 · inbound

Green Wave as an Integral Part for the Optimization of Traffic Efficiency and Safety: A Survey cites this paper.

Green Wave as an Integral Part for the Optimization of Traffic Efficiency and Safety: A Survey A Survey on Traffic Signal Control Methods

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T11:37:46.052852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f0f9a0f-208f-4d9e-9e86-35042f2ffd77 · inbound

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning cites this paper.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning A Survey on Traffic Signal Control Methods

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T11:12:50.702882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aed3b22-f89e-4388-9891-a15d5091f433 · inbound

EvolveSignal: A Large Language Model Powered Coding Agent for Discovering Traffic Signal Control Strategies cites this paper.

EvolveSignal: A Large Language Model Powered Coding Agent for Discovering Traffic Signal Control Strategies A Survey on Traffic Signal Control Methods

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:16:47.054423Z

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 84906fc0-c7b8-42fa-b479-ad7188e02a9e · inbound

OSM+: Billion-Level OpenStreetMap Dataset for City-wide Experiments cites this paper.

OSM+: Billion-Level OpenStreetMap Dataset for City-wide Experiments A Survey on Traffic Signal Control Methods

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-22T12:44:51.872954Z

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 bf39b220-5a85-4a85-9266-c447295acd49 · inbound

TrafficClaw: A Generalizable LLM Agent in the Unified Physical Environment for Urban Traffic Control cites this paper.

TrafficClaw: A Generalizable LLM Agent in the Unified Physical Environment for Urban Traffic Control A Survey on Traffic Signal Control Methods

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:51:10.171382Z

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 6714cf94-e971-4a82-841a-1b8440379b6d · inbound

Does Synthetic Data Help? Empirical Evidence from Deep Learning Time Series Forecasters cites this paper.

Does Synthetic Data Help? Empirical Evidence from Deep Learning Time Series Forecasters A Survey on Traffic Signal Control Methods

Reference 266

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:41:12.415311Z

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 f41c158e-8da4-4927-9cd4-26e80317fac6 · inbound

ReasonLight: A Multimodal Foundation Model-Enhanced Reinforcement Learning Framework for Zero-Shot Traffic Signal Control cites this paper.

ReasonLight: A Multimodal Foundation Model-Enhanced Reinforcement Learning Framework for Zero-Shot Traffic Signal Control A Survey on Traffic Signal Control Methods

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:33:13.296538Z

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 cc94a26b-083c-4640-ab15-d35ce1b0a659 · inbound

Momentum Based Reward Design for Low Emission Traffic Signal Control cites this paper.

Momentum Based Reward Design for Low Emission Traffic Signal Control A Survey on Traffic Signal Control Methods

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T09:03:15.810324Z

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 e59a5e39-3a13-4f30-be83-d774e0833046 · 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 A Survey on Traffic Signal Control Methods

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-14T14:44:28.797978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.