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Paper Citation Record · LEDGER

An Open-Source Framework for Adaptive Traffic Signal Control

As of 16 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:1909.00395.

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

pith.paper-citation-record.v1
1909.00395 v1

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:57:08.507535Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

75 of 75 outbound references displayed

  • verified exact4
  • verified fuzzy57
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f0e9d85-df0d-45aa-9a9e-08a066da1d02 · outbound

This paper cites The influence of intersections on fuel consumption in urban arterial road traffic: a single vehicle test in harbin, china,.

An Open-Source Framework for Adaptive Traffic Signal Control The influence of intersections on fuel consumption in urban arterial road traffic: a single vehicle test in harbin, china,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.238740Z digest=sha256:f0a91796eac20ea549da14ced713549dd0bd477ce3af62671d9ee30b07aa2390

Observation 27e8cb6f-af7b-479a-82c7-e42c388c928d · outbound

This paper cites The impact of individual anthropogenic emissions sectors on the global burden of human mortality due to ambient air pollution,.

An Open-Source Framework for Adaptive Traffic Signal Control The impact of individual anthropogenic emissions sectors on the global burden of human mortality due to ambient air pollution,

Reference 2

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raw_fallback, observed 2026-08-14T05:57:09.332874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.243126Z digest=sha256:b2e8cfcc7bb5982b5002d3b963e4540a616c07f782541b6f8a5eb46a03de0402

Observation 9a4e383e-461b-48a9-95b7-4314645471a4 · outbound

This paper cites Ambient air pollution: A global assessment of exposure and burden of disease,.

An Open-Source Framework for Adaptive Traffic Signal Control Ambient air pollution: A global assessment of exposure and burden of disease,

Reference 3

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raw_fallback, observed 2026-08-14T05:57:09.321940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.246936Z digest=sha256:da8599bc58f2ac06403fad4b48f03bf87edf98aa5ffeddf11d93b06e07bcadfd

Observation 9bd691c3-fdb4-456b-b80e-8ca74ee008ef · outbound

This paper cites INRIX global traffic scorecard,.

An Open-Source Framework for Adaptive Traffic Signal Control INRIX global traffic scorecard,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.250863Z digest=sha256:db5862491675556125d65f189baaf4f69b171eb190623a7a7a40a46b50497335

Observation a6f4a185-d7c2-4adc-b0b4-eeaa68b75912 · outbound

This paper cites Recent devel- opment and applications of SUMO - Simulation of Urban MObility,.

An Open-Source Framework for Adaptive Traffic Signal Control Recent devel- opment and applications of SUMO - Simulation of Urban MObility,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.254823Z digest=sha256:22378f391d0d225b36e401ff061d25b610d8666a61a7d98b79feac5034294dbe

Observation ec90d852-375b-45b0-a3a1-2ceee5db543d · outbound

This paper cites Genetic reinforcement learning for cooper- ative traffic signal control,.

An Open-Source Framework for Adaptive Traffic Signal Control Genetic reinforcement learning for cooper- ative traffic signal control,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.259194Z digest=sha256:bd4a3fe62522854196694fe6a301f138a8cbd691cb43f9465135c84c4bb44a20

Observation cd9cbae8-cae6-4738-aa7b-d3dc84840a18 · outbound

This paper cites Real-time optimiza- tion for adaptive traffic signal control using genetic algorithms,.

An Open-Source Framework for Adaptive Traffic Signal Control Real-time optimiza- tion for adaptive traffic signal control using genetic algorithms,

Reference 7

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raw_fallback, observed 2026-08-14T05:57:09.280839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.263401Z digest=sha256:697b1f664dff6e2c2127e5b5d7e45ecaec10f3c42ecec80e6af2d5e9cfc66da1

Observation 97f33d7e-425e-48aa-879a-b39c67473baf · outbound

This paper cites Organic control of traffic lights,.

An Open-Source Framework for Adaptive Traffic Signal Control Organic control of traffic lights,

Reference 8

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raw_fallback, observed 2026-08-14T05:57:09.270592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.266983Z digest=sha256:49846759e97fefdb1075bbe2c9daebe7abada019911bc7d83de8572258b8be03

Observation 22a6fdb2-fd06-47aa-9d4b-3f2d10833c99 · outbound

This paper cites Time optimization for traffic signal control using genetic algorithm,.

An Open-Source Framework for Adaptive Traffic Signal Control Time optimization for traffic signal control using genetic algorithm,

Reference 9

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raw_fallback, observed 2026-08-14T05:57:09.258889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.270692Z digest=sha256:c8dd05ccc65dc16adead7fa5aa37b29e43bf0c83c8489afda844e212b21d6f84

Observation 8a08d581-5960-4356-8a6d-229796527307 · outbound

This paper cites Evolving adaptive traffic signal controllers for a real scenario using genetic programming with an epigenetic mechanism,.

An Open-Source Framework for Adaptive Traffic Signal Control Evolving adaptive traffic signal controllers for a real scenario using genetic programming with an epigenetic mechanism,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.274331Z digest=sha256:8819c6ebf69fb7108690b5604fb396d7f8d1d1fd4a2e35b688fad1134ec43c21

Observation 65f08a14-c9e4-49da-a18c-07eb319e0ed1 · outbound

This paper cites Signal multiobjective optimization for urban traffic network,.

An Open-Source Framework for Adaptive Traffic Signal Control Signal multiobjective optimization for urban traffic network,

Reference 11

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raw_fallback, observed 2026-08-14T05:57:09.236952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.277797Z digest=sha256:023af09c5ecade7821bf99804499da5517b17fe63c6dca8754469ab7e35e9f34

Observation 276f37b9-6541-440b-a455-68025e6d0231 · outbound

This paper cites Distributed traffic signal control for maximum network throughput,.

An Open-Source Framework for Adaptive Traffic Signal Control Distributed traffic signal control for maximum network throughput,

Reference 12

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raw_fallback, observed 2026-08-14T05:57:09.226174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.281553Z digest=sha256:afce7ab5eac9cc25e27a1c020e8005bce259d1d54fabb53e07960db2c1239691

Observation 6c1f376a-66ca-41f5-8871-5d287b90c456 · outbound

This paper cites The max-pressure controller for arbitrary networks of signalized intersections,.

An Open-Source Framework for Adaptive Traffic Signal Control The max-pressure controller for arbitrary networks of signalized intersections,

Reference 13

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raw_fallback, observed 2026-08-14T05:57:09.215632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.284892Z digest=sha256:2e79534293c6cdb69834de41e9b9e687d9917c11852aa793af934818e90d72ea

Observation c648e0f2-58b9-4af2-bdd3-28daee4a8aa9 · outbound

This paper cites Capacity-aware backpressure traffic signal control,.

An Open-Source Framework for Adaptive Traffic Signal Control Capacity-aware backpressure traffic signal control,

Reference 14

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raw_fallback, observed 2026-08-14T05:57:09.205253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.288009Z digest=sha256:e157e88f3f9fd1da6e6c0bec75191b84ed695fb52bafe2b7982bbe260acf1668

Observation a6712983-e65f-4c45-929b-ea40bda9bb75 · outbound

This paper cites Multi-agent immune networks to control interrupted flow at signalized intersections,.

An Open-Source Framework for Adaptive Traffic Signal Control Multi-agent immune networks to control interrupted flow at signalized intersections,

Reference 15

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raw_fallback, observed 2026-08-14T05:57:09.195051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.291241Z digest=sha256:cec87bc0617f0c2488700dd1613ba3140f26be525545ae1f20905f794ad5b74d

Observation d480c10b-cad7-4fe5-a4b9-33ecf73048ac · outbound

This paper cites An artificial immune network to control interrupted flow at a signalized intersection,.

An Open-Source Framework for Adaptive Traffic Signal Control An artificial immune network to control interrupted flow at a signalized intersection,

Reference 16

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raw_fallback, observed 2026-08-14T05:57:09.184049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.294647Z digest=sha256:70433810da08e491233e2b7fe47a9d4212bfaff3ec80347bc558fa14ddb97bd7

Observation 35e7c951-b8b2-4d74-8851-d1d15e084f77 · outbound

This paper cites Self-Organizing Traffic Lights.

An Open-Source Framework for Adaptive Traffic Signal Control Self-Organizing Traffic Lights

Reference 17

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no resolver link, observed 2026-08-14T05:57:08.297865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:57:08.297865Z digest=sha256:41d039143976596f983160d04b217ba555eef64d2f967218f9b55ab54e16caba

Observation 02f277a1-634c-48e0-bddd-f9c34537f48f · outbound

This paper cites Self-organizing traffic lights: A realistic simulation,.

An Open-Source Framework for Adaptive Traffic Signal Control Self-organizing traffic lights: A realistic simulation,

Reference 18

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raw_fallback, observed 2026-08-14T05:57:09.173065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.301763Z digest=sha256:f6c262b120cd733f7a4ab0982c583bb0f46f3ebb879e33527766e54ca48def73

Observation b8529b78-fce8-4e61-a934-f7629eeb307b · outbound

This paper cites Self-Organization in Traffic Lights: Evolution of Signal Control with Advances in Sensors and Communications.

An Open-Source Framework for Adaptive Traffic Signal Control Self-Organization in Traffic Lights: Evolution of Signal Control with Advances in Sensors and Communications

Reference 19

Resolution
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local_arxiv, observed 2026-08-14T05:57:08.662202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.305210Z digest=sha256:1d192967ebb4d680ccea0631ca2500d1cf01e5e3e5c32ea2f0cc2c00a34109aa

Observation 3ed8d64f-e171-43bf-a5d0-5ec16e0fe108 · outbound

This paper cites A demand-responsive strategy for traffic signal control,.

An Open-Source Framework for Adaptive Traffic Signal Control A demand-responsive strategy for traffic signal control,

Reference 20

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raw_fallback, observed 2026-08-14T05:57:09.162208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.309455Z digest=sha256:b307ec2fb2c6891ffb59db7c4e3548cfdbbe9e37ad7c28204b839c93d4566a71

Observation a0c0a424-8da7-4f67-b0a6-1e6aeeaa7f4c · outbound

This paper cites Scats, sydney co-ordinated adaptive traffic system: A traffic responsive method of controlling urban traffic,.

An Open-Source Framework for Adaptive Traffic Signal Control Scats, sydney co-ordinated adaptive traffic system: A traffic responsive method of controlling urban traffic,

Reference 21

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raw_fallback, observed 2026-08-14T05:57:09.151379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.312799Z digest=sha256:6dd9a1e87b764b0dee8fbd7b49b5020e5c6f4a55365b49ef3c1ab3f365816484

Observation aa3f084b-d47f-4118-9155-9056fe7ee2d1 · outbound

This paper cites A real-time traffic signal control system: architecture, algorithms, and analysis,.

An Open-Source Framework for Adaptive Traffic Signal Control A real-time traffic signal control system: architecture, algorithms, and analysis,

Reference 22

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raw_fallback, observed 2026-08-14T05:57:09.141016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.316154Z digest=sha256:bc43001d3b729d64f26bb676ca6f035d747dec9b4c4c4323f759caa73d983d5d

Observation 3f5219b9-9bf5-4dab-9592-6f43336dcbdf · outbound

This paper cites Acs-lite algorithmic architecture: applying adaptive control system technology to closed-loop traffic signal control systems,.

An Open-Source Framework for Adaptive Traffic Signal Control Acs-lite algorithmic architecture: applying adaptive control system technology to closed-loop traffic signal control systems,

Reference 23

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raw_fallback, observed 2026-08-14T05:57:09.130292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.319450Z digest=sha256:aa5984dc6012dcecf611b42042e2ff2bd14e6bf73390a4db2f65c28bd125293b

Observation 1a74445b-f0ef-4467-9a48-a0d5ad4f34f6 · outbound

This paper cites Traffic light control using sarsa with three state representations,.

An Open-Source Framework for Adaptive Traffic Signal Control Traffic light control using sarsa with three state representations,

Reference 24

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raw_fallback, observed 2026-08-14T05:57:09.119722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.322886Z digest=sha256:89a559d1fd80570e051945b3a271a41a5dee688e8216ba88418725a218bcb15d

Observation 5b1b37ca-5147-441b-a45b-3b82a53f2d0e · outbound

This paper cites Reinforcement learning in neurofuzzy traffic signal con- trol,.

An Open-Source Framework for Adaptive Traffic Signal Control Reinforcement learning in neurofuzzy traffic signal con- trol,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:09.109035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.326328Z digest=sha256:3e95981291c886598daaa707d1dbd8ac82d29d4c3356f2e7296d6c51a1bcbd35

Observation b85ed75e-d9b2-4bcd-9772-d579bbde9925 · outbound

This paper cites Reinforcement learning for true adaptive traffic signal control,.

An Open-Source Framework for Adaptive Traffic Signal Control Reinforcement learning for true adaptive traffic signal control,

Reference 26

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raw_fallback, observed 2026-08-14T05:57:09.098800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.329778Z digest=sha256:caddf3d2356555d41cf928ff5cec133cfb1100cd6735577c4d6cd56f28865d89

Observation 9d89802c-6095-498f-8086-c4733b0789e1 · outbound

This paper cites Reinforcement learning with function approximation for traffic signal control,.

An Open-Source Framework for Adaptive Traffic Signal Control Reinforcement learning with function approximation for traffic signal control,

Reference 27

Resolution
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raw_fallback, observed 2026-08-14T05:57:09.088421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.333106Z digest=sha256:e211ab1548d72009dc872bec2694583e0cd9602e0b4201c3f5a7490f1e84aa5b

Observation 6f297141-87fa-4371-b2f2-0bc015977992 · outbound

This paper cites Multiagent rein- forcement learning for integrated network of adaptive traffic signal controllers (marlin-atsc): methodology and large-scale application on downtown toronto,.

An Open-Source Framework for Adaptive Traffic Signal Control Multiagent rein- forcement learning for integrated network of adaptive traffic signal controllers (marlin-atsc): methodology and large-scale application on downtown toronto,

Reference 28

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raw_fallback, observed 2026-08-14T05:57:09.077970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.337361Z digest=sha256:88e289c95feccb908759b0c69d1ba5a589f9aa900617e10c024641564df52099

Observation 7a2d41f3-ab7e-44e1-bf0c-bac4ecc358af · outbound

This paper cites Deeplight: Deep reinforcement learning for signalised traffic control,.

An Open-Source Framework for Adaptive Traffic Signal Control Deeplight: Deep reinforcement learning for signalised traffic control,

Reference 29

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raw_fallback, observed 2026-08-14T05:57:09.067960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.340733Z digest=sha256:1ab0ee0d6127a3abc3841c1bbfadae54c226073f81b8a53e7e74cb27865a8ea4

Observation 0fa4548e-dff1-4848-aaf2-f9c6b7550526 · outbound

This paper cites Deep reinforcement learning for coordination in traffic light control,.

An Open-Source Framework for Adaptive Traffic Signal Control Deep reinforcement learning for coordination in traffic light control,

Reference 30

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raw_fallback, observed 2026-08-14T05:57:09.057241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.344352Z digest=sha256:0ffa2972f91a2e681b7600ef81c5c0dbe0d3bfa23db4a4fdbfbf1738abc8fbbe

Observation c3651d38-a36b-402f-9e30-e867fed658e9 · outbound

This paper cites Traffic signal timing via deep reinforce- ment learning,.

An Open-Source Framework for Adaptive Traffic Signal Control Traffic signal timing via deep reinforce- ment learning,

Reference 31

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raw_fallback, observed 2026-08-14T05:57:09.046844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.348051Z digest=sha256:3cb94b4a05a35b285f3d139053e54f7d2242da1bb49316d2ef645aa27c15f877

Observation dcca7f56-7db5-48d8-99db-89aa8cb4d87b · outbound

This paper cites Using a Deep Reinforcement Learning Agent for Traffic Signal Control.

An Open-Source Framework for Adaptive Traffic Signal Control Using a Deep Reinforcement Learning Agent for Traffic Signal Control

Reference 32

Resolution
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local_arxiv, observed 2026-08-14T05:57:08.648120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.351535Z digest=sha256:c94c40219b4ace12c1c5134df40e6bf0b733ad083273db3c213527e05cedb69f

Observation ef9e5fc5-fb8e-4b1f-b83a-444358338f50 · outbound

This paper cites Adaptive traffic signal control with actor-critic methods in a real-world traffic network with different traffic disruption events,.

An Open-Source Framework for Adaptive Traffic Signal Control Adaptive traffic signal control with actor-critic methods in a real-world traffic network with different traffic disruption events,

Reference 33

Resolution
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raw_fallback, observed 2026-08-14T05:57:09.036081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.355479Z digest=sha256:a1154bbb00e0b77658b42625e2876f722f47cf3fb8adb62302d0cb811529d22a

Observation 8a6aa549-162b-48d5-a36e-9c4f29831ac9 · outbound

This paper cites Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning.

An Open-Source Framework for Adaptive Traffic Signal Control Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning

Reference 34

Resolution
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local_arxiv, observed 2026-08-14T05:57:08.633334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.359164Z digest=sha256:d966eb2e43ce471e611bacb11f37cfbec7e03f95c7922f4d8df7b28069e3d02d

Observation a7e8e6bf-447d-439c-803a-837977b75c20 · outbound

This paper cites Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks.

An Open-Source Framework for Adaptive Traffic Signal Control Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:57:08.617228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.363214Z digest=sha256:3d082ffd4dad8e97127e4170c0dd833c22024a7b7d2977a5b084bebd6644bf80

Observation 47b37a09-50ef-49cc-9958-ed86a70858fd · outbound

This paper cites A deep reinforcement learning network for traffic light cycle control,.

An Open-Source Framework for Adaptive Traffic Signal Control A deep reinforcement learning network for traffic light cycle control,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:09.024652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.367405Z digest=sha256:623572292dfb174c94db7fcff31a4c952eeeeb860a19cd2b7c0f989aabdc467d

Observation e71825de-f0cc-434e-824c-cfc5893a11e2 · outbound

This paper cites Deep reinforcement learning-based traffic signal control using high-resolution event-based data,.

An Open-Source Framework for Adaptive Traffic Signal Control Deep reinforcement learning-based traffic signal control using high-resolution event-based data,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:09.014125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.370912Z digest=sha256:61658d6c9e02fff9085be69f1a01a63189e108a912d9e929cf1f1fa5e52fe405

Observation 7f5559ab-3905-4f32-8dca-7b69264ec769 · outbound

This paper cites Asynchronous n-step q-learning adaptive traffic signal control,.

An Open-Source Framework for Adaptive Traffic Signal Control Asynchronous n-step q-learning adaptive traffic signal control,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:09.002835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.374346Z digest=sha256:b8d2813eae8488fa72bbdcb1eebfe5b8e9cfdfb7e47bdf0ef408093c73e984ed

Observation 3d6e6c6f-1099-4d68-bb93-0b600fb8f20a · outbound

This paper cites Multi-agent deep reinforcement learning for large-scale traffic signal control,.

An Open-Source Framework for Adaptive Traffic Signal Control Multi-agent deep reinforcement learning for large-scale traffic signal control,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.990543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.377571Z digest=sha256:f281906947e89eacb780e190ca90842d6f5df76359ab8b60ffa2c6d6f0f59e7c

Observation 0e2597e6-54d6-424d-a328-9176159c1e6d · outbound

This paper cites Stevanovic, Adaptive traffic control systems: domestic and foreign state of practice , 2010, no.

An Open-Source Framework for Adaptive Traffic Signal Control Stevanovic, Adaptive traffic control systems: domestic and foreign state of practice , 2010, no

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.978473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.381136Z digest=sha256:4ffc6f36d253c9f6664a568eee9c9d508f11fef67de1bd1601d44a7536db7efa

Observation 2afcbeb2-c4b3-46c4-b87a-619f09ca50bc · outbound

This paper cites Design of reinforce- ment learning parameters for seamless application of adaptive traffic signal control,.

An Open-Source Framework for Adaptive Traffic Signal Control Design of reinforce- ment learning parameters for seamless application of adaptive traffic signal control,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.966156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.384633Z digest=sha256:9ff520a21c17045f08c990ffbf5e812b0ed2e0720cd64cacd88caf958e47462a

Observation 5dccce5f-ca13-478a-8ed5-0075dd565338 · outbound

This paper cites A review on computational intelligence methods for controlling traffic signal timing,.

An Open-Source Framework for Adaptive Traffic Signal Control A review on computational intelligence methods for controlling traffic signal timing,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.953309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.388094Z digest=sha256:af43369c90b461b17ef5cd1240094682b24548b1bbffff0806492c3ca72bb3f1

Observation 239eff07-0770-4571-acae-135f5dc838c1 · outbound

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

An Open-Source Framework for Adaptive Traffic Signal Control An experimental review of reinforcement learning algorithms for adaptive traffic signal control,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.942777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.391446Z digest=sha256:ac0d286a8dad9192bf244fcc2feeeaa4d08bbfc4766a20816a478d403b973916

Observation a3e399d6-2fe4-4aba-8110-9289e3946538 · outbound

This paper cites A survey on reinforcement learning models and algorithms for traffic signal control,.

An Open-Source Framework for Adaptive Traffic Signal Control A survey on reinforcement learning models and algorithms for traffic signal control,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.930944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.395278Z digest=sha256:0b87ab44b9944ee325846293a8e7f8d680f594a3c534f1b2d68018066f6eb90c

Observation 46893cfa-5f8f-4ee7-9bd7-686ee8edffdf · outbound

This paper cites Multiagent rein- forcement learning for urban traffic control using coordination graphs,.

An Open-Source Framework for Adaptive Traffic Signal Control Multiagent rein- forcement learning for urban traffic control using coordination graphs,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.920704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.398577Z digest=sha256:40faad76021962fe89145ccde9f669810f6605f84b36729e634884e69c9edca8

Observation fb11fd41-325d-4a64-8ed7-7edd1a8a77c6 · outbound

This paper cites Traffic signal control using reinforce- ment learning and the max-plus algorithm as a coordinating strategy,.

An Open-Source Framework for Adaptive Traffic Signal Control Traffic signal control using reinforce- ment learning and the max-plus algorithm as a coordinating strategy,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.910338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.401983Z digest=sha256:38a45f7f23bca56923a2547806715c17a6aed8f2644da864e9bb9ef607c3a9d2

Observation 6e80c87f-5945-4035-a40e-360cc47dc6bc · outbound

This paper cites Holonic multi-agent system for traffic signals control,.

An Open-Source Framework for Adaptive Traffic Signal Control Holonic multi-agent system for traffic signals control,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.899749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.405377Z digest=sha256:71f6b3d16de990f9713c5f30b365b237cdc41a0c680140632e79461a15325a64

Observation aa22a7f4-7693-49b4-9731-14045c814fb7 · outbound

This paper cites Adaptive multi-objective reinforcement learning with hybrid exploration for traffic signal control based on co- operative multi-agent framework,.

An Open-Source Framework for Adaptive Traffic Signal Control Adaptive multi-objective reinforcement learning with hybrid exploration for traffic signal control based on co- operative multi-agent framework,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.889432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.409020Z digest=sha256:58126a1673cba2c9404a99f13e4136f534b41d481480478ceb3033c13f49b398

Observation e524ae98-0d7f-4f18-bcf7-4816b94c1784 · outbound

This paper cites Large-scale traffic grid signal control with regional reinforcement learning,.

An Open-Source Framework for Adaptive Traffic Signal Control Large-scale traffic grid signal control with regional reinforcement learning,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.878332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.413133Z digest=sha256:93e2baa08dd61bf9291aa2930d2c3289823ba0c4db2aa4877e43637965d15010

Observation 269dddb1-6e82-4377-8bba-e33cd6da9fc7 · outbound

This paper cites Deep Deterministic Policy Gradient for Urban Traffic Light Control.

An Open-Source Framework for Adaptive Traffic Signal Control Deep Deterministic Policy Gradient for Urban Traffic Light Control

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-14T05:57:08.416760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:57:08.416760Z digest=sha256:3469b887fbd4ccaddebe5f7272c1df4f4f32f20b87e44527952ca9c1f57a46f7

Observation ca2dd6ee-a445-44a3-8ee9-823b310f6f59 · outbound

This paper cites Distributed cooperative rein- forcement learning-based traffic signal control that integrates v2x net- works dynamic clustering,.

An Open-Source Framework for Adaptive Traffic Signal Control Distributed cooperative rein- forcement learning-based traffic signal control that integrates v2x net- works dynamic clustering,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.867547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.420562Z digest=sha256:afa4bd40116b359bf726bdd3403c7fa644cf787833fa6d29a551c58396ad6350

Observation 44f3c50d-4d2c-46c3-8c3a-217de394181a · outbound

This paper cites Deep reinforcement learning adaptive traffic signal con- trol,.

An Open-Source Framework for Adaptive Traffic Signal Control Deep reinforcement learning adaptive traffic signal con- trol,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.856193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.424264Z digest=sha256:203d18fd5074e36449c681c6fab216497c2c51467e9e803009d251da2136c303

Observation 4d189651-bdd1-4639-8a40-42e3784a53ce · outbound

This paper cites Traffic signal settings, road research technical paper no. 39,.

An Open-Source Framework for Adaptive Traffic Signal Control Traffic signal settings, road research technical paper no. 39,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.844193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.427557Z digest=sha256:e9a7bd95f58e75bf3b78ee6ef7942d0c7a131c3af5edc64d3e5d8d2df20ae991

Observation c92c22b1-4e94-4a92-ba35-e5b1254ec077 · outbound

This paper cites Taylor expansion of the accumulated rounding error,.

An Open-Source Framework for Adaptive Traffic Signal Control Taylor expansion of the accumulated rounding error,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.832515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.430954Z digest=sha256:8f3fac00a8d0dd0b3f6bc28b08cb4301cad0e6be9929820c30a8d55e9286c26f

Observation dd2e860a-64cb-46a6-ba4c-54b1ac428c6a · outbound

This paper cites Learning represen- tations by back-propagating errors,.

An Open-Source Framework for Adaptive Traffic Signal Control Learning represen- tations by back-propagating errors,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.821027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.434442Z digest=sha256:ad76f13b035ffeb0b81738e53c54f8523d369523863b01b45890cd59657a1b61

Observation 322c0cf2-2fba-4b01-8714-2ebb0615b49e · outbound

This paper cites Asynchronous methods for deep rein- forcement learning,.

An Open-Source Framework for Adaptive Traffic Signal Control Asynchronous methods for deep rein- forcement learning,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.808588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.437782Z digest=sha256:e7e3b61b4072a95b8a86ca9f560fc646c4870128d9b0913cdcb78c504287021a

Observation 5cfe9919-a5e3-4425-856f-7191d738638a · outbound

This paper cites Distributed Prioritized Experience Replay.

An Open-Source Framework for Adaptive Traffic Signal Control Distributed Prioritized Experience Replay

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-14T05:57:08.441194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:57:08.441194Z digest=sha256:82e28392b5ab67bd5f5b2fbb69eead72f7a27091b8ec41514585fb0f325bdd21

Observation 27ababfe-b539-4635-adc6-ea77175d50c7 · outbound

This paper cites IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

An Open-Source Framework for Adaptive Traffic Signal Control IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-14T05:57:08.444899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:57:08.444899Z digest=sha256:adb8b084f4a7094f04aa78d4de869d8bc11eea9c6627849272f5897f2e0a0bfd

Observation 37204c45-53de-421b-bf3f-532cff5830fd · outbound

This paper cites A distributional perspec- tive on reinforcement learning,.

An Open-Source Framework for Adaptive Traffic Signal Control A distributional perspec- tive on reinforcement learning,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.797366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.448488Z digest=sha256:58cf13fca6eef4a8b0b702e31a165ac661141992c4629201af8a42b416691228

Observation ab6ff56e-a2a3-44c7-bc88-3d2ceda305d2 · outbound

This paper cites Distribu- tional reinforcement learning with quantile regression,.

An Open-Source Framework for Adaptive Traffic Signal Control Distribu- tional reinforcement learning with quantile regression,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.785699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.451944Z digest=sha256:9e76e7fb77ad2c399ab605bc1325e874d770fff81b83dd83f7c7df2d9dece557

Observation 5ceb0849-8ee6-4681-a316-57f0916cbf47 · outbound

This paper cites Implicit Quantile Networks for Distributional Reinforcement Learning.

An Open-Source Framework for Adaptive Traffic Signal Control Implicit Quantile Networks for Distributional Reinforcement Learning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-14T05:57:08.455306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:57:08.455306Z digest=sha256:95cd67bd3f66c02d25cd25cc4f5519e83fc535f61b39a645389a8748d8048405

Observation a92641d7-4303-407d-83cc-c3769c25bead · outbound

This paper cites Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning,.

An Open-Source Framework for Adaptive Traffic Signal Control Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning,

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-14T05:57:08.458998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:57:08.458998Z digest=sha256:c4b213a702681f5091a33efb972bb0bb8b0aa5cd688e4de0769e459464a8b825

Observation d4acce44-5869-4650-8a65-b0f2b276c06b · outbound

This paper cites The option-critic architecture,.

An Open-Source Framework for Adaptive Traffic Signal Control The option-critic architecture,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.767288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.462489Z digest=sha256:7d5fb31f866fb046a1764b997c38a004fbfea8e995f6f6aab75e764658fdca5f

Observation d5d18743-01d6-4d32-b352-efb82186fd15 · outbound

This paper cites Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning.

An Open-Source Framework for Adaptive Traffic Signal Control Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-14T05:57:08.466019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:57:08.466019Z digest=sha256:b9ad6d82c1928721be4a0dc4b303dff8c2281dc3e92e18c5cafbb99d3df98961

Observation 03cf0620-5eef-4895-9a84-8b4dcb395767 · outbound

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

An Open-Source Framework for Adaptive Traffic Signal Control Human-level control through deep reinforcement learning,

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-14T05:57:08.469893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:57:08.469893Z digest=sha256:fbb5dc9088b016823ba66fd0425e4907c4f0aba6f50dc3cbfd0d11dc7290619e

Observation 3cf11f9a-9edd-456a-a897-e4fa114e322e · outbound

This paper cites Q-learning,.

An Open-Source Framework for Adaptive Traffic Signal Control Q-learning,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.749801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.473191Z digest=sha256:8844dfbaa951491e9e6e8d55f8f60488a1c1ecc0a7e55415325d31cf747828c1

Observation 924f2628-7744-444f-a709-515cd7d03d74 · outbound

This paper cites Learning to predict by the methods of temporal differ- ences,.

An Open-Source Framework for Adaptive Traffic Signal Control Learning to predict by the methods of temporal differ- ences,

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-14T05:57:08.476842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:57:08.476842Z digest=sha256:22b4b95a40fe0ec659348c569063a433b379680d2b42856d7f77c79617c35263

Observation 9b8ce8e1-65ad-43a8-8684-7a3007f79441 · outbound

This paper cites an unresolved cited work.

An Open-Source Framework for Adaptive Traffic Signal Control Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-14T05:57:08.731595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.480930Z digest=sha256:d81185a11d809b287a1d691b7bdd9a008bdcd01ed69871f4f37462c3f8526598

Observation 23dd1503-659f-40df-8d73-63f46aa8e192 · outbound

This paper cites Continuous control with deep reinforcement learning.

An Open-Source Framework for Adaptive Traffic Signal Control Continuous control with deep reinforcement learning

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-14T05:57:08.484408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:57:08.484408Z digest=sha256:405da87b1ee226d2ca6a0ac9b6079f138dc2900424f5f2bf17edcbf733ca3bf1

Observation b60248f0-0c75-443a-93ba-411fb346230f · outbound

This paper cites Self-improving reactive agents based on reinforcement learn- ing, planning and teaching,.

An Open-Source Framework for Adaptive Traffic Signal Control Self-improving reactive agents based on reinforcement learn- ing, planning and teaching,

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-14T05:57:08.489194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:57:08.489194Z digest=sha256:f77ae776dadfc576e1d87759802442a5e44a2cca347b7b1976f17f8ff425a1bd

Observation 12697559-214d-4681-a766-b07ec3adc684 · outbound

This paper cites TensorFlow: Large-scale machine learning on heterogeneous systems,.

An Open-Source Framework for Adaptive Traffic Signal Control TensorFlow: Large-scale machine learning on heterogeneous systems,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.713398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:57:08.492950Z digest=sha256:9b9c6f49f958461baad6e5908e05c5b25ff6ff4e2a4197e14bf95bda635d9367

Observation 85dc5247-2da4-47e3-987d-30ec368ee618 · outbound

This paper cites SciPy: Open source scientific tools for Python,.

An Open-Source Framework for Adaptive Traffic Signal Control SciPy: Open source scientific tools for Python,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.701696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5498e2c1-7e43-4e73-a382-701964e8eae1 · outbound

This paper cites Tabor, 2019.

An Open-Source Framework for Adaptive Traffic Signal Control Tabor, 2019

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:57:08.690545Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d4177707-1f9e-4284-9dc6-3e896e9af51b · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,.

An Open-Source Framework for Adaptive Traffic Signal Control Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-14T05:57:08.503846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f03b2c20-5f0a-4a4c-bb69-a25f8cfd2f23 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

An Open-Source Framework for Adaptive Traffic Signal Control Adam: A Method for Stochastic Optimization

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-14T05:57:08.507535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.