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Paper Citation Record · LEDGER

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator

As of 8 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2506.07980.

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

pith.paper-citation-record.v1
2506.07980 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:28:56.045688Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

64 of 64 outbound references displayed

  • verified exact2
  • verified fuzzy46
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7177144e-021c-426b-8390-8ff6b6c274a0 · outbound

This paper cites Microscopic Traffic Simulation using SUMO,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Microscopic Traffic Simulation using SUMO,

Reference 1

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation fef3a43c-58e6-4a40-a632-b684b1dca0fa · outbound

This paper cites SUMO–Simulation of Urban MObility: An overview,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator SUMO–Simulation of Urban MObility: An overview,

Reference 2

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 52d1e5d3-e393-48e5-a470-e548b7e83b36 · outbound

This paper cites STGT: SUMO-based traffic mobility generation tool for evaluation of vehicular networks,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator STGT: SUMO-based traffic mobility generation tool for evaluation of vehicular networks,

Reference 3

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0da9eaf9-b463-4300-9f5d-894ff2f56fa7 · outbound

This paper cites Advances and open problems in federated learning,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Advances and open problems in federated learning,

Reference 4

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Unavailable: canonical work link unavailable.

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Observation 25626548-cf67-4ef1-9503-5d2ef5f6c6a2 · outbound

This paper cites Federated learning: Challenges, methods, and future directions,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Federated learning: Challenges, methods, and future directions,

Reference 5

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Observation 309a154e-9e0e-4e09-a663-f009562926fa · outbound

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

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Presslight: Learning max pressure control to coordinate traffic signals in arterial network,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation aba21ab2-5332-41dd-84df-53c1068203f8 · outbound

This paper cites Deep reinforcement learning: A brief survey,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Deep reinforcement learning: A brief survey,

Reference 7

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Observation 910c83fd-dba1-4cff-93e7-77e5a735567c · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Communication-efficient learning of deep networks from decentralized data,

Reference 8

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Observation 22ea963c-65f9-4cff-8cb0-e71454ab67f5 · outbound

This paper cites Federated learning with cooperating devices: A consensus approach for massive iot networks,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Federated learning with cooperating devices: A consensus approach for massive iot networks,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4f78346e-f82a-4225-91fb-0b47fbbd366e · outbound

This paper cites OpenStreetMap,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator OpenStreetMap,

Reference 10

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Observation af34eb8d-723c-47c0-a7cc-f51fe511572e · outbound

This paper cites Recent development and applications of sumo - simulation of urban mobility,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Recent development and applications of sumo - simulation of urban mobility,

Reference 11

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1056f110-83dc-49fb-ae01-4dbf8add3af2 · outbound

This paper cites Research on car-following model based on SUMO,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Research on car-following model based on SUMO,

Reference 12

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Observation c10715a5-6930-40d2-bf48-f80e614bf08e · outbound

This paper cites Omnet++,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Omnet++,

Reference 13

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d374294e-1eec-41ae-8e20-309fc78f0868 · outbound

This paper cites Reinforcement learning: An introduction. by Richard’s Sutton,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Reinforcement learning: An introduction. by Richard’s Sutton,

Reference 14

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 17702a7a-83d2-4446-9aa1-cdb4cb1d74d0 · outbound

This paper cites an unresolved cited work.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Unresolved cited work

Reference 15

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Unavailable: canonical work link unavailable.

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Observation 7ef4e540-f042-4819-8d67-34f00976b7e8 · outbound

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

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Human-level control through deep reinforcement learning,

Reference 16

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raw_fallback, observed 2026-08-07T05:29:05.594615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation aa588290-137b-43a6-9a28-9331bf9cc848 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Communication-efficient learning of deep networks from decentralized data,

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-07T05:29:05.393554Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 02d6add6-6162-43a8-b9a1-7bfc33e50363 · outbound

This paper cites Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges,

Reference 18

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d0d9b55c-5011-4665-a5d3-3bb454f9b6d4 · outbound

This paper cites Decentralized federated learning: Balancing communication and computing costs,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Decentralized federated learning: Balancing communication and computing costs,

Reference 19

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Unavailable: canonical work link unavailable.

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Observation 205ee3c5-2e99-40c8-a0c2-ec6c22c3f88a · outbound

This paper cites Vulnerabilities in federated learning,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Vulnerabilities in federated learning,

Reference 20

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raw_fallback, observed 2026-08-07T05:29:04.830178Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation cbeb6633-d1f6-4853-a842-09a726205d3c · outbound

This paper cites A survey on vulnerability of federated learning: A learning algorithm perspective,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator A survey on vulnerability of federated learning: A learning algorithm perspective,

Reference 21

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raw_fallback, observed 2026-08-07T05:29:04.544968Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 97197a4e-33fa-4dfe-8c54-c7e96d337b77 · outbound

This paper cites Privacy and robustness in federated learning: Attacks and defenses,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Privacy and robustness in federated learning: Attacks and defenses,

Reference 22

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raw_fallback, observed 2026-08-07T05:29:04.273762Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6cab94c6-4663-49e1-8473-3ed08401e475 · outbound

This paper cites Challenges and approaches for mitigating byzantine attacks in federated learning,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Challenges and approaches for mitigating byzantine attacks in federated learning,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-07T05:29:04.009586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation dc18d397-34b0-4334-8191-a55d11f0b333 · outbound

This paper cites Byzantine-robust decentralized federated learning,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Byzantine-robust decentralized federated learning,

Reference 24

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Unavailable: canonical work link unavailable.

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Observation 867b95a9-60b1-4878-b4ad-8e8861b18d2a · outbound

This paper cites A blockchain-based decentralized federated learning framework with committee consensus,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator A blockchain-based decentralized federated learning framework with committee consensus,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T05:29:03.749337Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:52.095133Z digest=sha256:3128bfffd2106eb1c6d626dcd03bcc5125d544831cc9f9da215ba5c5c2165a5d

Observation 99584063-99a8-447c-ad3e-bd14e69dfc72 · outbound

This paper cites A survey on federated learning,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator A survey on federated learning,

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:52.176711Z digest=sha256:9da399cf6165d24c817a4ad28278b21d4ad78c17ac5a80a75e08ac583b225cfe

Observation 3649d72d-72d3-43d2-b339-b62191d62edc · outbound

This paper cites Decision trees in federated learning: Current state and future opportunities,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Decision trees in federated learning: Current state and future opportunities,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-07T05:29:03.515554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 14068b86-5b71-43aa-b58e-aab6df04b91f · outbound

This paper cites Federated reinforcement learning: Techniques, applications, and open challenges,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Federated reinforcement learning: Techniques, applications, and open challenges,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-07T05:29:03.265832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7bfe880a-3ce9-42c4-85c1-2d590ac44392 · outbound

This paper cites SUMMIT: A simulator for urban driving in massive mixed traffic,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator SUMMIT: A simulator for urban driving in massive mixed traffic,

Reference 29

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raw_fallback, observed 2026-08-07T05:29:03.003257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:52.393004Z digest=sha256:204a8bea80ba14925e4514627681ee32f209fd2a0d24cb502a8e9e82e23b76f0

Observation 865a7002-395c-4a16-a7e2-969b26335394 · outbound

This paper cites SceneGen: Learning to Generate Realistic Traffic Scenes ,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator SceneGen: Learning to Generate Realistic Traffic Scenes ,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-07T05:29:02.695578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:52.462854Z digest=sha256:fd1fc995de6269073f8d5e90741415f4ca63238d1ad0e20e535cc26bda2c7c26

Observation 1a360d1d-4b90-4ac1-978c-95cae8f88ca3 · outbound

This paper cites A SUMO based evaluation of road incidents’ impact on traffic congestion level in smart cities,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator A SUMO based evaluation of road incidents’ impact on traffic congestion level in smart cities,

Reference 31

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raw_fallback, observed 2026-08-07T05:29:02.392712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:52.565430Z digest=sha256:b47a67bad001abab1d174a38fac99e711aeb922a415145bb608c78f1471d4559

Observation 2cb3112b-8d1f-4735-97b0-9bd6cdfd9ab2 · outbound

This paper cites Energy-efficient route navigation (eco-routing) for electric vehicles in sumo itin ´eraires de navigation ´eco-´energ´etiques pour les v ´ehicules ´electriques dans sumo,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Energy-efficient route navigation (eco-routing) for electric vehicles in sumo itin ´eraires de navigation ´eco-´energ´etiques pour les v ´ehicules ´electriques dans sumo,

Reference 32

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raw_fallback, observed 2026-08-07T05:29:02.122805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:52.645894Z digest=sha256:6afae620aadff0718575b939e05bdbda81fd49468834fb5ed4c653446d55e21f

Observation 66123050-9568-4ae2-a6c3-e0201dd3fd80 · outbound

This paper cites Realistic traffic model for urban environments based on induction loop data,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Realistic traffic model for urban environments based on induction loop data,

Reference 33

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raw_fallback, observed 2026-08-07T05:29:01.784136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:52.753263Z digest=sha256:893022ea7c71d839cda0f400195d7eaf59c9988f51a689a9b5921c337d3ad514

Observation 0603044e-d0b9-4670-a14b-325783f68c20 · outbound

This paper cites The Veins simulation framework for vehicular ad hoc networks,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator The Veins simulation framework for vehicular ad hoc networks,

Reference 34

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raw_fallback, observed 2026-08-07T05:29:01.478889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:52.845037Z digest=sha256:7d423da2e8abb153b698012dc423735aa434cdd0b5825e3eb46bc4ff90b6120b

Observation 211cbffa-574c-4510-b9bf-a7229e6c9a6e · outbound

This paper cites [Online].

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator [Online]

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:01.200877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:52.936183Z digest=sha256:1b03b8474635b51ff0cf6b1545ec64e6f72547e979d16f09b38a8efb13a72e71

Observation 40c69710-68d4-4190-916a-b3203e102dd3 · outbound

This paper cites PTV VISSIM,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator PTV VISSIM,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:00.920793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:53.015366Z digest=sha256:bf2f786518f5e129a81d97e8d1c44a32be41ba05845f6e827703cc2dc0b8fe9d

Observation 76a05ba3-1c81-4476-bd19-37c66af54f0a · outbound

This paper cites Aimsun next,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Aimsun next,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:00.616361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:53.075939Z digest=sha256:f71f4653bb671f77262b87bfa85bb7c4fbcfc5f3788851643e9ce30d194a4207

Observation bdc47190-3d80-4de0-a072-4d430166515c · outbound

This paper cites Reinforcement learning-based multi-agent system for network traffic signal control,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Reinforcement learning-based multi-agent system for network traffic signal control,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:00.304700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:53.145483Z digest=sha256:9d89f8e1c467eb4ada8ec6fffa8daec5305816bae92e6dd18d7116e256546329

Observation 51fa0b88-d9c4-471a-931d-d8605ac3c62e · outbound

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

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Coordinated deep reinforcement learners for traffic light control,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:59.958340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:53.230889Z digest=sha256:d22dab1ab86e27b179274c601305226376e71935712af95f626ba11270e8d693

Observation 278bdd23-4f42-4a8d-94b3-2fe7bd7d5f34 · outbound

This paper cites Prediction of electric vehicle charging-power demand in realistic urban traffic networks,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Prediction of electric vehicle charging-power demand in realistic urban traffic networks,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:59.685177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:53.310135Z digest=sha256:dc8cd655585d7867db1d5bbdaf4963473d2a3773e1138e326eb2e1aa46c5e331

Observation 5407dc41-bb70-4306-b287-ea1aedf7c154 · outbound

This paper cites Reinforcement learning with human feedback for realistic traffic simulation,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Reinforcement learning with human feedback for realistic traffic simulation,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:59.376785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:53.387794Z digest=sha256:24a99e32de8cdc45fdf939424460d1863e0e3ccfd44a1954a77f45d39fc3a003

Observation 211fb047-84d1-4f4e-bbf1-81900412ca25 · outbound

This paper cites Navigating occluded intersections with autonomous vehicles using deep reinforcement learning,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Navigating occluded intersections with autonomous vehicles using deep reinforcement learning,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:59.109846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:53.454927Z digest=sha256:5d014532d9e2fdc3029140cc41f226e621927317ab20433e07da33f93ee2beee

Observation c9229ee3-00e4-473e-8fb9-d07af4c0ce7c · outbound

This paper cites Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:53.573054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:53.573054Z digest=sha256:c2689a190111a1fa69b32ace0b0519fef37cac4ad1e49757065d744cc3fbc939

Observation e0c074f7-5223-4c69-8f27-16fc26b35176 · outbound

This paper cites Carla: An open urban driving simulator,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Carla: An open urban driving simulator,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:53.772332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:53.772332Z digest=sha256:009c430e31e67a3328783561fa029c134a32fc9dce64eccb34ee38c0a601064c

Observation b6a2d623-3383-43b7-9614-67308b291b57 · outbound

This paper cites Rutge: Realistic urban traffic generator for urban environments using deep reinforcement learning and sumo simulator,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Rutge: Realistic urban traffic generator for urban environments using deep reinforcement learning and sumo simulator,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:58.920248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:53.976434Z digest=sha256:f56c5a6cfcb00cb97033515831e830b1ca1462e9f4f77ded51ffd642f2b55fd0

Observation 13d4a2d2-8f90-42c6-a036-e08b728ddd6f · outbound

This paper cites Privacy-preserving traffic flow prediction: A federated learning approach,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Privacy-preserving traffic flow prediction: A federated learning approach,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:58.765279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:54.187295Z digest=sha256:d61d88d6f61c7f64e9397eac5e22286551629252fedb07752c01ee5cdb96c56e

Observation fd783137-1650-4973-8dda-368470d46c36 · outbound

This paper cites A decentralized federated learning-based spatial–temporal model for freight traffic speed forecasting,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator A decentralized federated learning-based spatial–temporal model for freight traffic speed forecasting,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:58.596392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:54.340051Z digest=sha256:926991946858976c2abaab417c58bb18c8f1134517fd2d59f6b8a0e63b7de9e2

Observation ff179a4d-d6f3-4e97-894b-4f13f3459c49 · outbound

This paper cites Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:28:56.624590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:54.497447Z digest=sha256:675896402d006713b0b8c8c3be105d00b8218dbc9941392cca4f8ceb2e611ffe

Observation bb9b7f45-01eb-424c-ac34-92ad8249d98e · outbound

This paper cites Trafficgen: Learning to generate diverse and realistic traffic scenarios,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Trafficgen: Learning to generate diverse and realistic traffic scenarios,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:54.709940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:54.709940Z digest=sha256:0a8b934f113dada80392e491456f7f03714cb16806509edc7489a1693db749ad

Observation c4bc462b-8137-486c-91fc-0059fd18877f · outbound

This paper cites Fedlight: Federated reinforcement learning for autonomous multi-intersection traffic signal control,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Fedlight: Federated reinforcement learning for autonomous multi-intersection traffic signal control,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:58.401988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:54.929232Z digest=sha256:275bc8fa8dbb67c475b472fb582d92f1454b0d56c513ec7058826a8b12315195

Observation ec01cac8-79c8-44ab-9995-e635748538e5 · outbound

This paper cites Federated hierarchical reinforcement learning for adaptive traffic signal control,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Federated hierarchical reinforcement learning for adaptive traffic signal control,

Reference 51

Resolution
verified exact
raw_fallback, observed 2026-08-07T05:28:56.431459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:55.081343Z digest=sha256:5f4028c2a1da9662505d9288f25ff533b4472308e17cde552a2250248544f5ec

Observation 38683dbd-ea47-45ca-8fef-1bb7b2daf3b4 · outbound

This paper cites Privacy-preserving blockchain-based federated learning for traffic flow prediction,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Privacy-preserving blockchain-based federated learning for traffic flow prediction,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:58.243832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:55.206993Z digest=sha256:a02893edcfaf55f56c45892cd3526ab6fa4b02275ebc842278d02ebc8c7bb7a7

Observation 92d5f7b4-a912-4f84-90bf-2df65360f6a4 · outbound

This paper cites Personalized federated learning for cross-city traffic prediction,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Personalized federated learning for cross-city traffic prediction,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:58.109983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:55.284389Z digest=sha256:be3bfc0922af4d57593947105740b3ea7045bf89b19f65c2d344a289e3f6623f

Observation a8f3b5b8-8b49-42bc-bf92-f7a38428b80f · outbound

This paper cites Federated learning for generating synthetic data: a scoping review,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Federated learning for generating synthetic data: a scoping review,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:57.943306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:55.308354Z digest=sha256:eef410e2c2011fbbbca71c40ca029e99b1a7713f6c675f8f6f7b699dc6945e8c

Observation 2c16ba77-458a-4911-bb91-4bf7335b7cd0 · outbound

This paper cites Decentralized federated learning through proxy model sharing,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Decentralized federated learning through proxy model sharing,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:57.813912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:55.345590Z digest=sha256:f5baa68fc6beffc6c1210f48289c9be953fc0d2a9ab51c7b18c06610a6999d63

Observation a27b0f5b-0f20-4bff-a592-eb8def682e1d · outbound

This paper cites Proximal Policy Optimization Algorithms.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Proximal Policy Optimization Algorithms

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:55.390579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:55.390579Z digest=sha256:119a39eefc0f0bd1a5cc6d5c9fcccdb869cd7d449590429e3827b259f4632af9

Observation c8b193e2-a40e-474b-80db-55365737807a · outbound

This paper cites Tomtom traffic index 2021,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Tomtom traffic index 2021,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:57.667054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:55.448315Z digest=sha256:fe2641725a725d39da3e82faa1dfeb7b2e00f98ba73e1aebf42b99bbe411fac8

Observation 5f91ba30-5034-4146-b719-2fd28884829a · outbound

This paper cites V oronoi diagrams—a survey of a fundamental geometric data structure,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator V oronoi diagrams—a survey of a fundamental geometric data structure,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:57.559727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:55.521801Z digest=sha256:d81666956f34d3ee688a7d834835c69446d5b7d175590d9e92c9040df47ef58a

Observation d4a3e275-c0e3-4821-81f5-103e5c67d49d · outbound

This paper cites Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges,

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:55.610873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:55.610873Z digest=sha256:8847a62bc754e9921777b48b5545cb7fac2b7024c25e63a6014615ef5a81e649

Observation 5e585153-80a7-4f00-aba2-81624f5ffa19 · outbound

This paper cites Open-source federated learning frameworks for IoT: A comparative review and analysis,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Open-source federated learning frameworks for IoT: A comparative review and analysis,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:57.427031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:55.689246Z digest=sha256:1fc533eca0205fe5813ffdcf62545a540d2cbdcd7284ca5ca27a7c176e3b6267

Observation 3fb77b18-b1a5-4069-881c-236eb723d8c8 · outbound

This paper cites Byzantine-Robust Aggregation for Securing Decentralized Federated Learning.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Byzantine-Robust Aggregation for Securing Decentralized Federated Learning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:55.749193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:55.749193Z digest=sha256:9e4cb8c5ae508346d4a447adc4eadf8055cc09bb756b00fd4b3ea9677dbfe84a

Observation 9c8d5855-93c5-4121-a1d8-dc20ccf4f919 · outbound

This paper cites Stable baselines3,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Stable baselines3,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:57.257355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:55.865135Z digest=sha256:a5327601f26b6bfdf8f4ee001162623680df4af54c2a122ce80dddfdb917f347

Observation 00ddb987-a577-4590-9fcc-944ce5dfd84e · outbound

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

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:55.930945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:55.930945Z digest=sha256:fe747cd638af96d449e55c7dc2ebbf101afa324ce123d556fb9930bbbf3619d0

Observation 77da168b-fe97-4fbd-a44f-4d380f2ac2e4 · outbound

This paper cites Ward method of hierarchical clustering for non-euclidean similarity measures,.

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator Ward method of hierarchical clustering for non-euclidean similarity measures,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:56.991047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:28:56.045688Z digest=sha256:ed98a09c5c452d6f607d6ff1b95315349ee0b2b21989513deec12c614f2581a4

Pith citing papers

No inbound Pith citation observations are available.