Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2509.03118.

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

pith.paper-citation-record.v1
2509.03118 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:12:53.301259Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

30 of 30 outbound references displayed

verified exact0
verified fuzzy23
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7a8d3691-0b96-494b-8f8c-33c1dc028f38 · outbound

This paper cites Investigating the role of green transport, environmental taxes and expenditures in mitigating the transport co2 emissions,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Investigating the role of green transport, environmental taxes and expenditures in mitigating the transport co2 emissions,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:55.707446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9d6b9b83-eb20-474a-8b50-84eda24139fe · outbound

This paper cites Environmen- tal generation scheduling considering air pollution control technologies and weather effects,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Environmen- tal generation scheduling considering air pollution control technologies and weather effects,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:55.698752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b5f22816-3a42-46db-8b6c-8cd0cc853acc · outbound

This paper cites Experiences with adaptive signal control in germany,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Experiences with adaptive signal control in germany,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:55.688918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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

This paper cites A Survey on Traffic Signal Control Methods.

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 f9649a4d-b4b0-437b-a9ea-ff9488f7260f · outbound

This paper cites Deep reinforcement learning for intelligent transportation systems: A survey,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Deep reinforcement learning for intelligent transportation systems: A survey,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:55.680088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a5c43140-5d45-4638-91bf-1c20f6deaaa4 · outbound

This paper cites Efficient Pressure: Improving efficiency for signalized intersections.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Efficient Pressure: Improving efficiency for signalized intersections

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T11:12:50.851633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1429f43e-2740-4e51-a8b2-1d428e712550 · outbound

This paper cites Matlit: Mat-based cooperative reinforcement learning for urban traffic signal control,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Matlit: Mat-based cooperative reinforcement learning for urban traffic signal control,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:55.672609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9f518e34-190f-4730-ae11-112df2e8677c · outbound

This paper cites Large-scale traffic signal control using constrained network partition and adaptive deep reinforcement learning,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Large-scale traffic signal control using constrained network partition and adaptive deep reinforcement learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:55.664362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bbf6e2a2-59cf-4324-b00f-4e103ce2d38a · outbound

This paper cites Communication strategy on macro-and-micro traffic state in cooperative deep reinforcement learning for regional traffic signal control,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Communication strategy on macro-and-micro traffic state in cooperative deep reinforcement learning for regional traffic signal control,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:55.656690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a5a15137-5756-4865-b78a-da84d87102d8 · outbound

This paper cites Halight: Hierarchical deep reinforcement learning for cooperative arterial traffic signal control with cycle strategy,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Halight: Hierarchical deep reinforcement learning for cooperative arterial traffic signal control with cycle strategy,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:55.648840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3dd4867d-71ef-4ad5-8ad3-5aa3a4ff540e · outbound

This paper cites Multi-agent reinforcement learning: Independent vs. cooper- ative agents,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Multi-agent reinforcement learning: Independent vs. cooper- ative agents,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:55.640200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1553cdb6-4d29-4cca-a321-79f277d49a0e · outbound

This paper cites Presslight: Learning max pressure control to coordinate traffic signals in arterial network,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Presslight: Learning max pressure control to coordinate traffic signals in arterial network,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:55.631393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6dc2df2b-c817-45d9-8ad5-4c277841b2a8 · outbound

This paper cites Colight: Learning network-level cooper- ation for traffic signal control,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Colight: Learning network-level cooper- ation for traffic signal control,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:55.622302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1028e560-12c3-4f41-9815-d324ef24d55f · outbound

This paper cites Large-scale traffic signal control by a nash deep q-network approach,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Large-scale traffic signal control by a nash deep q-network approach,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:55.595319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5e348093-3cef-43c8-b7a0-0a7f19d6c7d8 · outbound

This paper cites Hierarchical deep reinforcement learning for continuous action control,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Hierarchical deep reinforcement learning for continuous action control,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:55.436258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 35d6eb67-72ce-4ce3-8578-1cc26d220f64 · outbound

This paper cites Feudal networks for hierarchical rein- forcement learning,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Feudal networks for hierarchical rein- forcement learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:55.260249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5c517fcb-bf04-4750-9fff-d365b6aa692e · outbound

This paper cites Hierarchically and cooperatively learning traffic signal control,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Hierarchically and cooperatively learning traffic signal control,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:55.011669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cfbab5c1-772e-49c3-a3ef-44e2d69b3a36 · outbound

This paper cites The scoot on-line traffic signal optimisation technique,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning The scoot on-line traffic signal optimisation technique,

Reference 18

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Source-reported events for the cited work

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Observation e413dc06-1ed5-4e8e-9d14-1f774862cf63 · outbound

This paper cites Intellilight: A reinforcement learning approach for intelligent traffic light control,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Intellilight: A reinforcement learning approach for intelligent traffic light control,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:54.786857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0f5a31f5-5a74-4ec7-ba2a-6b5f9d2e9ad7 · outbound

This paper cites Coordinated deep reinforcement learners for traffic light control,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Coordinated deep reinforcement learners for traffic light control,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:54.594700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a72237c7-fe4d-41b8-8353-5a0efb31c711 · outbound

This paper cites An experimental review of reinforcement learning algorithms for adaptive traffic signal control,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning An experimental review of reinforcement learning algorithms for adaptive traffic signal control,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:54.440105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 597140ee-f5c6-4053-9232-f675925b93ef · outbound

This paper cites Continuous control with deep reinforcement learning.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Continuous control with deep reinforcement learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T11:12:52.432243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 177661b9-59d8-4e65-98cd-dc5f3f08dfeb · outbound

This paper cites Traffic signal settings,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Traffic signal settings,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T11:12:52.556753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f0438a4-cb5d-4ba5-ac27-a69a37083e3b · outbound

This paper cites Traffic signal timing manual.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Traffic signal timing manual

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:54.318539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f0a66968-034f-4fe6-8f69-455b56e81bc9 · outbound

This paper cites Maxband: A versatile program for setting signals on arteries and triangular networks,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Maxband: A versatile program for setting signals on arteries and triangular networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:54.179304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 61ca6217-a5ba-42b8-8642-4a3b5adfb965 · outbound

This paper cites Cityflow: A multi-agent reinforcement learning environment for large scale city traffic scenario,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Cityflow: A multi-agent reinforcement learning environment for large scale city traffic scenario,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:53.965000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b6ba835-e273-4dbc-b2cd-0bf4d4d038e0 · outbound

This paper cites Self-Organizing Traffic Lights.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Self-Organizing Traffic Lights

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T11:12:53.012797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5037fff-7848-46b1-91b0-e97e43254d1d · outbound

This paper cites Max pressure control of a network of signalized inter- sections,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Max pressure control of a network of signalized inter- sections,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:53.719179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2dacb78f-ea2e-474c-888f-2a12edcffe8a · outbound

This paper cites Human-level control through deep reinforcement learning,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Human-level control through deep reinforcement learning,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T11:12:53.226547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2cb906e-9e1d-444b-8720-2f1651ed457c · outbound

This paper cites Dueling network architectures for deep reinforcement learning,.

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning Dueling network architectures for deep reinforcement learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:12:53.566958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.