Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T14:44:28.797978Z
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2607.09899.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T14:44:28.797978Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
49 of 49 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation e029c219-6599-4e2c-a19c-64c3b4ea08be · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Real-world carbon dioxide impacts of traffic congestion,
Reference 1
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Observation 8354e24f-d685-4094-aa05-91f6673e6bdd · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Unresolved cited work
Reference 2
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Observation 8fc32111-e60d-4575-aa43-8986c5516626 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Applying the degree of urbanisation to the globe: A new harmonised definition reveals a different picture of global urbanisation,
Reference 3
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Unavailable: canonical work link unavailable.
Observation 716fa893-ac23-4ee0-9cef-963539e16665 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control The SCOOT on-line traffic signal optimisation technique,
Reference 4
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Observation bc83ee6e-c092-48e1-b938-39507be31765 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Two traffic-responsive area traffic control methods: SCAT and SCOOT,
Reference 5
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Observation fdf746f5-b9ab-4554-a988-958d001c8077 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Unresolved cited work
Reference 6
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Observation 883d4ef6-b0a9-4f52-8190-099a4935caf3 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control The PRODYN real time traffic algorithm,
Reference 7
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Observation 46011898-f3d3-4e34-9714-c94252c1a943 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Adaptive traffic control systems: Domestic and foreign state of practice,
Reference 8
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Observation 59919922-7610-473c-b6ab-eb9a7da72428 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Distribu- tionally robust multi-agent reinforcement learning for intelligent traffic control,
Reference 9
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Observation 2dd824b9-9147-4330-b90f-e1f951ef0a02 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Unresolved cited work
Reference 10
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Observation 973cbb87-b1c5-4717-9dc9-2a60d1219653 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Reinforcement-learning-based job-shop scheduling for intelligent intersection management,
Reference 11
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Observation 26975043-be17-4a09-8868-91aff1a05358 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Learning decentralized traffic signal controllers with multi- agent graph reinforcement learning,
Reference 12
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Observation 3adf2e6a-a94a-48c8-8abb-9a4ca7d4ec3c · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Robust multi-agent reinforcement learning via adversarial regularization: Theoretical foundation and stable algorithms,
Reference 13
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Observation f1174b76-02d5-49eb-a010-dba5aaa89592 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Travel time reliability to airport: Review and assessment,
Reference 14
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Unavailable: canonical work link unavailable.
Observation 8da069d2-0403-4b04-b840-063f48bcd687 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Distributionally robust neural networks for group shifts: On the importance of reg- ularization for worst-case generalization,
Reference 15
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Observation 0a23f1e3-d426-407e-a40e-e7623c4b8b31 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Fairness without demographics in repeated loss minimization,
Reference 16
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Observation f45a2119-796e-4da1-859e-d236814b520a · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Distributionally robust multi-agent reinforcement learning for dynamic chute mapping,
Reference 17
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Observation c365b83c-eea0-4bd5-8a59-76a16e3db764 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Monaco SUMO Traffic (MoST) scenario: A 3D mobility scenario for cooperative ITS,
Reference 18
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Observation a5a7494e-b9be-4d9a-92fa-8c5420b9e33c · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Multi-agent deep reinforcement learning for large-scale traffic signal control,
Reference 19
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Observation 917557cf-6668-442a-9710-229bcf0be7cc · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Proximal Policy Optimization Algorithms
Reference 20
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Observation c351073e-eebd-44f8-8423-94e93be39498 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Multi-agent reinforcement learning: Independent vs. cooperative agents,
Reference 21
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Observation b00a7704-e3ec-4e00-8751-e049733a0bf2 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Using a Deep Reinforcement Learning Agent for Traffic Signal Control
Reference 22
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Observation 4ae35258-0baf-4cea-bf6b-2f2782a6c126 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Traffic light control using deep policy-gradient and value-function-based reinforcement learning,
Reference 23
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Unavailable: canonical work link unavailable.
Observation 17562d75-24fa-4f4a-9b69-545d22c59e53 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control IntelliLight: A reinforcement learning approach for intelligent traffic light control,
Reference 24
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Observation 128d77ea-0e16-4d59-8f0f-fa7244f473b7 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Coordinated deep reinforcement learners for traffic light control,
Reference 25
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Observation ec6baa13-1fc6-4e6a-a5d2-40cff043c11b · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Presslight: Learning max pressure control to coordinate traffic signals in arterial network,
Reference 26
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Unavailable: canonical work link unavailable.
Observation 36ac5da2-c8d0-409a-8b4c-411ed3734619 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Colight: Learning network-level cooperation for traffic signal control,
Reference 27
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Observation 414403e3-70bd-4da1-91ff-6ad42798e3e0 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Multi-agent reinforcement learning for traffic signal control: Algorithms and robustness analysis,
Reference 28
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Unavailable: canonical work link unavailable.
Observation 76aa0807-9fb2-461c-9673-c5e892149bbd · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control A robust and efficient multi-agent reinforcement learning framework for traffic signal control,
Reference 29
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Unavailable: canonical work link unavailable.
Observation 0fefbcf3-2691-4797-b602-cdd82b130d34 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation
Reference 30
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Observation b7711c85-4e2e-4d98-ab6e-c37882641af2 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Safe and Robust Reinforcement Learning: Principles and Practice
Reference 31
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Unavailable: canonical work link unavailable.
Observation 1eaf14a3-4eec-4568-a664-9ddafb9d168e · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Robust dynamic programming,
Reference 32
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Observation 7db8a522-edd7-4245-af2e-694994e2da7c · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Robust control of markov decision pro- cesses with uncertain transition matrices,
Reference 33
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Observation c39c6f11-6c25-4cf0-a3e4-899816874bcd · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Policy gradients with variance related risk criteria,
Reference 34
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Observation 6f15ca86-21c4-42d7-a28f-6e73ccc6c5fd · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Robust adver- sarial reinforcement learning,
Reference 35
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Observation a1ceb738-dfca-4993-a189-d10bafaca561 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control EPOpt: Learning robust neural network policies using model ensembles,
Reference 36
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Observation 965cc550-fbed-4743-8b62-3ff1c182eec9 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control UCATSC: Uncertainty-Aware Constrained Traffic Signal Control Under Vision-Based Partial Observability
Reference 37
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Observation d0405cbf-302e-47fe-b938-c4367c2bbe03 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Distributionally robust optimization,
Reference 38
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Observation a492b0ad-2ece-4074-9b88-85703ce1a301 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Epoch-greedy algorithm for contextual ban- dits,
Reference 39
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Observation 37ec340d-b820-4d78-b7c3-53acc25a1057 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Doubly robust policy evaluation and learning,
Reference 40
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Observation 12648794-dc21-4c1d-98f8-67ad6083fcea · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Taming the monster: A fast and simple algorithm for contextual ban- dits,
Reference 41
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Observation 904a0023-3e41-4cc8-b8a0-47e28b1b76d4 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Sample-efficient distributionally robust multi-agent reinforcement learning via online interaction,
Reference 42
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Observation 5e9e9e62-4113-4881-ae36-980f5b2b061d · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Recent de- velopment and applications of SUMO – simulation of urban MObility,
Reference 43
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Unavailable: canonical work link unavailable.
Observation 9e669c03-9e53-42de-8aeb-5087045fc62d · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Adaptive traffic signal control with actor-critic methods in a real-world traffic network with different traffic disruption events,
Reference 44
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Observation 65f1510a-113f-41d4-ba9f-d0017b5e9ae9 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Gradient-based learning applied to document recognition,
Reference 45
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Observation d2544a14-8e64-4ffa-88d5-6ff674d66605 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Semi-Supervised Classification with Graph Convolutional Networks
Reference 46
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Observation e59a5e39-3a13-4f30-be83-d774e0833046 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control A Survey on Traffic Signal Control Methods
Reference 47
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Observation 15ff7a39-6704-405b-a8c6-0d39396c0ca7 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control Learning phase competition for traffic signal control,
Reference 48
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Observation a5170760-e227-4576-b8e8-a749844be6f9 · outbound
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control He was a Postdoctoral Associate with the Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA
Reference 49
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No inbound Pith citation observations are available.