Paper Citation Record · LEDGER

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control

As of 10 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2509.01883.

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

pith.paper-citation-record.v1
2509.01883 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:10:24.792063Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

27 of 27 outbound references displayed

verified exact2
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unresolved3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f08d7e6-74a1-4efb-8309-e442993fc198 · outbound

This paper cites Intermodal Autonomous Mobility-on-Demand,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control Intermodal Autonomous Mobility-on-Demand,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:29.536119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 62821b12-bd30-4916-bf70-6d09a096b394 · outbound

This paper cites Enhanced Mobility With Con- nectivity and Automation: A Review of Shared Autonomous Vehicle Systems,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control Enhanced Mobility With Con- nectivity and Automation: A Review of Shared Autonomous Vehicle Systems,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:29.297720Z

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Observation caba3ae6-b043-45af-8884-ba3c2fe77ec9 · outbound

This paper cites A survey on demand-responsive public bus systems,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control A survey on demand-responsive public bus systems,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:29.036629Z

Source-reported events for the cited work

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Observation 5f08390b-4c47-489a-8343-263a8876fbc1 · outbound

This paper cites Redesigning large-scale multimodal transit networks with shared autonomous mobility services,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control Redesigning large-scale multimodal transit networks with shared autonomous mobility services,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:28.768233Z

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Observation e4a57adc-7ea2-4d41-b2fc-682ad44a3ea3 · outbound

This paper cites Autonomous Minibus Service With Semi-on-Demand Routes in Grid Networks,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control Autonomous Minibus Service With Semi-on-Demand Routes in Grid Networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:28.504960Z

Source-reported events for the cited work

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Observation 7415335a-bc43-41b6-a774-3c252bb4e2b1 · outbound

This paper cites A survey on planning semi-flexible transit systems: Methodological issues and a unifying framework,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control A survey on planning semi-flexible transit systems: Methodological issues and a unifying framework,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:28.341054Z

Source-reported events for the cited work

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Observation 9f0f3362-f946-4e45-972a-fe466cb98504 · outbound

This paper cites Flexing service schedules: Assessing the potential for demand-adaptive hybrid transit via a stated preference approach,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control Flexing service schedules: Assessing the potential for demand-adaptive hybrid transit via a stated preference approach,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:28.039842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8d0459c0-3fdb-4cb2-aab9-c394189816f5 · outbound

This paper cites Semi-on-Demand Hybrid Transit Route Design with Shared Autonomous Mobility Services,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control Semi-on-Demand Hybrid Transit Route Design with Shared Autonomous Mobility Services,

Reference 8

Resolution: verified exact; raw_fallback, observed 2026-08-05T12:10:25.188617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4f8549d9-8c1f-46c6-b0d8-b6d85cd0c6dc · outbound

This paper cites 2-Vehicle zone optimal design for feeder transit services,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control 2-Vehicle zone optimal design for feeder transit services,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:27.809764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac424b94-143a-4b6a-affe-885195ac273c · outbound

This paper cites Optimal Zonal Design for Flexible Bus Service Under Spatial and Temporal Demand Uncertainty,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control Optimal Zonal Design for Flexible Bus Service Under Spatial and Temporal Demand Uncertainty,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:27.626090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ee601ff6-07a2-4119-a1d2-dfc106a193a0 · outbound

This paper cites SAMoD: Shared Autonomous Mobility- on-Demand using Decentralized Reinforcement Learning,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control SAMoD: Shared Autonomous Mobility- on-Demand using Decentralized Reinforcement Learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:27.310503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0d7fe268-af70-4746-a84f-33f9890b8367 · outbound

This paper cites Dispatch of autonomous ve- hicles for taxi services: A deep reinforcement learning approach,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control Dispatch of autonomous ve- hicles for taxi services: A deep reinforcement learning approach,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:27.074789Z

Source-reported events for the cited work

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Observation ddd86afc-2c53-444d-8c38-b4a1bf142972 · outbound

This paper cites Context-Aware Taxi Dispatching at City- Scale Using Deep Reinforcement Learning,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control Context-Aware Taxi Dispatching at City- Scale Using Deep Reinforcement Learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:26.763234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6cb219c3-8e3a-4c3b-bbd7-3b7deb84be84 · outbound

This paper cites Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on on- line ride-hailing platform,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on on- line ride-hailing platform,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:26.576678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e32121bf-e602-4140-b0c4-098c382cb549 · outbound

This paper cites Reinforcement learning for ridesharing: An extended survey,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control Reinforcement learning for ridesharing: An extended survey,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:26.426239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d5f33c36-75a6-4896-ad1f-5df77fc9d87b · outbound

This paper cites Deep Reinforcement Learning for In- telligent Transportation Systems: A Survey,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control Deep Reinforcement Learning for In- telligent Transportation Systems: A Survey,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:26.280262Z

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Observation 3a6fb521-d096-47eb-b1b8-33fed9f40e83 · outbound

This paper cites A Multiline Customized Bus Planning Method Based on Reinforcement Learning and Spatiotemporal Clustering Algorithm,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control A Multiline Customized Bus Planning Method Based on Reinforcement Learning and Spatiotemporal Clustering Algorithm,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:26.172396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 70524002-6be4-4a9d-b09e-6a429b2b707f · outbound

This paper cites Multi-agent deep rein- forcement learning based real-time planning approach for responsive customized bus routes,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control Multi-agent deep rein- forcement learning based real-time planning approach for responsive customized bus routes,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:26.057452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3d0cf326-d98b-4552-90ba-8af6638a3476 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control Proximal Policy Optimization Algorithms

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T12:10:23.973058Z

Source-reported events for the cited work

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Observation 1ae38385-838d-4b11-afee-778d83c47040 · outbound

This paper cites FleetPy: A Modular Open-Source Simulation Tool for Mobility On-Demand Services.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control FleetPy: A Modular Open-Source Simulation Tool for Mobility On-Demand Services

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-05T12:10:24.947631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 80c3924d-d622-4c82-838c-0e22c291ed0a · outbound

This paper cites Simulating Semi-on-Demand Hybrid Route Transit Feeders with Shared Autonomous Mobility Services,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control Simulating Semi-on-Demand Hybrid Route Transit Feeders with Shared Autonomous Mobility Services,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:25.923208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9cc77d7a-0216-4ed5-99a9-796178a535f0 · outbound

This paper cites A Closer Look at Invalid Action Masking in Policy Gradient Algorithms,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control A Closer Look at Invalid Action Masking in Policy Gradient Algorithms,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:25.772232Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 16052086-0059-43a0-a70e-665f976b3981 · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 23

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Observation 41a5475a-0ffb-4aef-a672-2ee15b2edd49 · outbound

This paper cites MVG timetable data in GTFS format,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control MVG timetable data in GTFS format,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:25.639845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c04a54c0-00c9-4130-97a8-d8830ebb831b · outbound

This paper cites OSMnx: New methods for acquiring, constructing, an- alyzing, and visualizing complex street networks,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control OSMnx: New methods for acquiring, constructing, an- alyzing, and visualizing complex street networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:25.515912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dc31f85c-f147-4257-887f-7fbcd95264e6 · outbound

This paper cites The economics of automated public transport: Effects on operator cost, travel time, fare and subsidy,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control The economics of automated public transport: Effects on operator cost, travel time, fare and subsidy,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:10:25.343782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8a810669-10f4-425a-9600-1b8b276438c0 · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning im- plementations,.

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control Stable-baselines3: Reliable reinforcement learning im- plementations,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T12:10:24.792063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

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