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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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Source-reported events for the cited work

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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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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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Source-reported events for the cited work

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

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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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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 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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raw_fallback, observed 2026-08-07T05:29:05.753038Z

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 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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Source-reported events for the cited work

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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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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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

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 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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verified fuzzy
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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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.

source=pdf_text observed=2026-08-07T05:28:51.926969Z digest=sha256:66a3b40c72065a406b7858c012f77acaf4cd40c552f63b88773b6e02820edabd

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

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 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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no resolver link, observed 2026-08-07T05:28:52.176711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:52.176711Z digest=sha256:a348451c925e25d1076a717dbaaad3e5615e2fbdd13165ec34f8e2bc2471b7c9

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

Resolution
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

Resolution
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:edede77f0c83c764f0163baf5f71e9ecf2437cea6a2504d40c4607d92e843c11

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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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=sha256:640a623f4400d02d2035b73e8b6e86cd8daeccf67e84dbba05e53dfad41aeee3

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:adf33a6a7cd24ac60062fe0fed537f2ec7d8aeb2f8b02a27a896d54117646e4e

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:b24a8d316f166f93b33b9491df3b5f539c9ded51fa4c17f98af08f042344cd7d

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:dcefc8d65a4c91b6e1e70f1a723a9369dedb286d434c0df2c3a269a16c64bb59

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=sha256:0b8d7b27b4d72c0d88dbfd36c3c337a090689fb7a3016ccabd6fde19d714075c

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:fe5db417e5540d6e46968492c551fb4aff0cf5140e2f5880d3049f8ac3b5f533

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=sha256:28f108921460192a700c401acf7ce0cbb4e930f6d5e73352e7977e4c8a0c8cbc

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=sha256:31d3ee63fd468d4f9e4c4f39d0376834c2e31d1f2977097a88cd0c3f1b490111

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:b57cdcf2c82a3972814ac1e8aac7ea44f10d8d842e281094055ea91f44f17269

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=sha256:502b1874b827f4233880e88b32174856bbcd14d53ba8b766d82f74f038b3b40d

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:ac2887d531f947eaaf0e13c7061beed515f79ddfe52406fe7c77f3f6af46e2b7

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=sha256:28023cbf35dd1d1292c46d95232dd3be7e6b6bf57842710798a4d0ef36e8f654

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:aa1c5ff341502cbfa3a35e7d0a514ed7ed699564b4d44826921577b80ca93f61

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=sha256:3815eb5cb05d1624f74f79d0c9f211a25002ce5b98b2bb94c9beacfaa3f78c54

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:a91b88de003f33baf20b360b8f468d06e1b132cd59fb4ceea73d5e74bde05adb

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:b0aee3a1096f25e71d91c808cd8bb998a14f51bc4479725f7834af1f8cf923ee

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:cab43e7da28597245e71e1424dcc7d4f60c89f61830366add239d0f31d331fbc

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=sha256:42b02552fe8667138b1f72890a5796a6e4a083956ff4a48263f1e56e4b620a3e

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=sha256:4c2dfea665b7464663a85747f2a1681f316488c58d0cd547c9e58fd5c0a19784

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=sha256:68acafc50a4da0f6bf65a64a814c5be8a2cc2297b480471093e6dbdaf868c0e2

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=sha256:0a85099cf6f58e5a93bb9140140e082fd760a1a766065453f771a1c098915cc4

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=sha256:8e0a20855bb0a02e5f37249e13cf1dce12f39c249a5062f250a6e151c786ffc9

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=sha256:62b18135717c2d16791aab28e9b68d3b65db57438ed2232c1084c5f729abbb20

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=sha256:62348f998a19f1d72ce53dee661eef7dc05571179d21d0d3dcf51f4e6d05a183

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:e0758995d2dca932db136a6ead06b7ff14586e78fefecad9ea3c36a7b8a6ca1d

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=sha256:0f9c27edccf80a4751a78e049889427ae53fef6461018f4202e46fdefe1f67cc

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:c4679a90c00999dd15d9af4d99acd01d91b1df9d0e3d0a3c9f4782dca4fcafea

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:a294102626425b653204ad7ea72da2ac5efab664fb465480e34fb296c8c2238a

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=sha256:7efa83f4650a9f8258c7401919094342e9227401d1b96d22fcfe16b6cc8a5711

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=sha256:87091b138da07e0bfb0935cd0cea2b33c6e184761fe61bb244aea65c9ed9fe71

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=sha256:73efc1f5edf2226b0152e19d2a146afa8f27a99cc9712688e078139f50f44ff6

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:bd9f61f6533450d300ec76b902a0598cf7d85d40985a96f29ce6b9daa4096805

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=sha256:29292e596891b849dc5ea7050c50ffa52d293c5d6bfdaf923c359791156ba2f7

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=sha256:5d9dd552a494b162f4b4284ff2e27fccd06a77c8a04d5c512a4da280e65ef879

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:ebb78c6ae60c8c70164d351b328332df17d44e8b4ba783d9deeacad12edfa6c7

Pith citing papers

No inbound Pith citation observations are available.