Paper Citation Record · LEDGER

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning

As of 5 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2512.07417.

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

pith.paper-citation-record.v1
2512.07417 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T00:13:30.060417Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

verified exact1
verified fuzzy19
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f7ce9cf6-743f-45c9-b204-c4431248b58f · outbound

This paper cites Review of road traffic control strategies.

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning Review of road traffic control strategies

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:13:43.784331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6c44da4a-7f5e-49b7-a910-64b6770c7d90 · outbound

This paper cites Freeway ramp metering: An overview.

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning Freeway ramp metering: An overview

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:13:43.751091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5a72eae8-53de-4209-9727-66161875508c · outbound

This paper cites ALINEA: A local feedback control law for on-ramp metering.

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning ALINEA: A local feedback control law for on-ramp metering

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:13:43.747720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2de93d94-2d5d-4228-a947-6e3f05882cf8 · outbound

This paper cites Local ramp metering in the presence of a distant downstream bottle- neck: Theoretical analysis and simulation study.

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning Local ramp metering in the presence of a distant downstream bottle- neck: Theoretical analysis and simulation study

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:13:43.804194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 999c09ec-036e-4967-8bf5-5d4da84b8429 · outbound

This paper cites Feed-forward ALINEA: A ramp metering control algorithm for nearby and distant bottlenecks.

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning Feed-forward ALINEA: A ramp metering control algorithm for nearby and distant bottlenecks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:13:43.793328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ece852b0-1bc1-4962-81db-127c5ea189e6 · outbound

This paper cites Efficient freeway MPC by parameterization of ALINEA and a speed-limited area.

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning Efficient freeway MPC by parameterization of ALINEA and a speed-limited area

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:13:43.811594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ee15410a-2839-4b4f-b60b-df287aafc823 · outbound

This paper cites Grammatical-evolution-based parameterized model predictive control for urban traffic networks.

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning Grammatical-evolution-based parameterized model predictive control for urban traffic networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:13:43.780621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d581234d-d78a-41bc-81ec-e5eec643a0bb · outbound

This paper cites A novel framework combining MPC and deep reinforcement learning with application to freeway traffic control.

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning A novel framework combining MPC and deep reinforcement learning with application to freeway traffic control

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:13:43.807831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d7af959a-fe7e-419f-a260-3fed839b1387 · outbound

This paper cites Reinforcement learning with model predictive control for highway ramp metering.

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning Reinforcement learning with model predictive control for highway ramp metering

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:13:43.765975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2ec1ff99-3fb2-4786-ae7e-e76fd3dfbb2f · outbound

This paper cites Reinforcement learn- ing for true adaptive traffic signal control.

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning Reinforcement learn- ing for true adaptive traffic signal control

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:13:43.800357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d97bb744-c9e4-422f-849e-e3ce29578097 · outbound

This paper cites Reinforcement learning- based variable speed limit control strategy to reduce traffic congestion at freeway recurrent bottlenecks.

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning Reinforcement learning- based variable speed limit control strategy to reduce traffic congestion at freeway recurrent bottlenecks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:13:43.762368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f8a94cfa-6d4f-4efc-8f33-17bb0718e9fa · outbound

This paper cites Multi-agent deep reinforce- ment learning for large-scale traffic signal control.

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning Multi-agent deep reinforce- ment learning for large-scale traffic signal control

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:13:43.788991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 583e8117-3bfd-4c95-a4e9-3a699bc4b108 · outbound

This paper cites Integrated traffic control for freeway recurrent bottleneck based on deep reinforcement learning.

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning Integrated traffic control for freeway recurrent bottleneck based on deep reinforcement learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:13:43.754906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 423d06a8-de48-4f96-aa4f-25a3bcdd110c · outbound

This paper cites Adaptive freeway ramp metering and variable speed limit control: a genetic-fuzzy approach.

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning Adaptive freeway ramp metering and variable speed limit control: a genetic-fuzzy approach

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:13:43.776778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 774e5486-e1b6-4464-bf5d-02ed0a20c215 · outbound

This paper cites Adaptive ramp metering control for urban freeway using large-scale data.

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning Adaptive ramp metering control for urban freeway using large-scale data

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:13:43.744221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e8f996f6-09e8-4fd7-9252-dd261d4e6cb8 · outbound

This paper cites Adaptive parameter- ized control for coordinated traffic management using reinforcement learning.

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning Adaptive parameter- ized control for coordinated traffic management using reinforcement learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:13:43.769719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 574eb066-d832-4714-927d-e8c1bc550f0a · outbound

This paper cites A multi-class ramp metering and routing control scheme to reduce congestion and traffic emissions in freeway networks.

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning A multi-class ramp metering and routing control scheme to reduce congestion and traffic emissions in freeway networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:13:43.758454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ca228711-9b3d-4021-8d2a-ee9bedcc70fc · outbound

This paper cites Freeway network simulation and dynamic traffic assignment with METANET tools.

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning Freeway network simulation and dynamic traffic assignment with METANET tools

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:13:43.797100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 96e47374-1f23-40ad-9dfc-186adc55e101 · outbound

This paper cites Local ramp metering in the case of distant downstream bottlenecks.

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning Local ramp metering in the case of distant downstream bottlenecks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:13:43.773245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cdabdf94-9e3f-4b05-b833-90cadc867fb9 · outbound

This paper cites Continuous control with deep reinforcement learning.

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning Continuous control with deep reinforcement learning

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-17T00:13:43.655998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

No inbound Pith citation observations are available.