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Paper Citation Record · LEDGER

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction

As of 15 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2412.01281.

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

pith.paper-citation-record.v1
2412.01281 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:35:55.350406Z

measured 37 of 37 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

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Reference resolution

37 of 37 outbound references displayed

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  • verified fuzzy17
  • unresolved20
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External citation measurements

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Outbound references

Observation 82609f91-a75b-4dde-996b-4905ea685286 · outbound

This paper cites Vehicle speed prediction by two-level data driven models in vehicular networks,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Vehicle speed prediction by two-level data driven models in vehicular networks,

Reference 1

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Observation aeb6ab19-282d-4b64-92de-28bc88423945 · outbound

This paper cites Velocity predictors for predic- tive energy management in hybrid electric vehicles,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Velocity predictors for predic- tive energy management in hybrid electric vehicles,

Reference 2

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Observation 11e5db56-38b1-49f6-a568-65625c6ae074 · outbound

This paper cites Short-term vehicle speed prediction based on convolutional bidirectional lstm networks,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Short-term vehicle speed prediction based on convolutional bidirectional lstm networks,

Reference 3

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Observation 95ed7a77-cc22-424d-923a-181d238079eb · outbound

This paper cites Short term prediction of a vehicle’s velocity trajectory using its,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Short term prediction of a vehicle’s velocity trajectory using its,

Reference 4

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Observation abcf2786-e5d6-460e-a567-8ef071df03a6 · outbound

This paper cites An lstm-based speed predictor based on traffic simulation data for improving the performance of energy-optimal adaptive cruise control,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction An lstm-based speed predictor based on traffic simulation data for improving the performance of energy-optimal adaptive cruise control,

Reference 5

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Observation 2dfff137-4e5d-48a7-a8e0-fb8623b862ca · outbound

This paper cites Deep learning- based vehicle speed prediction for ecological adaptive cruise control in urban and highway scenarios,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Deep learning- based vehicle speed prediction for ecological adaptive cruise control in urban and highway scenarios,

Reference 6

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Observation c6af4e8a-5f40-4697-8b2b-0d70d4663c6b · outbound

This paper cites Stochastic model predictive control with driver behavior learning for improved powertrain control,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Stochastic model predictive control with driver behavior learning for improved powertrain control,

Reference 7

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Observation 29cfbcdf-bcc5-4d80-a890-3f4b9d7b6702 · outbound

This paper cites Predictive cruise control with probabilistic constraints for eco driving,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Predictive cruise control with probabilistic constraints for eco driving,

Reference 8

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Observation 04d4b540-d3b1-47d7-9fc7-2ddc980f9ad8 · outbound

This paper cites Prediction of human driving behavior using dynamic bayesian networks,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Prediction of human driving behavior using dynamic bayesian networks,

Reference 9

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Observation 9ed38364-2d9e-464c-805a-625bf2b7ab6c · outbound

This paper cites Modeling and recognizing driver behavior based on driving data: A survey,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Modeling and recognizing driver behavior based on driving data: A survey,

Reference 10

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Observation 5b29f150-e4d1-4642-a71a-b1b7e10fb06f · outbound

This paper cites Longitudinal vehicle motion prediction in urban settings with traffic light interaction,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Longitudinal vehicle motion prediction in urban settings with traffic light interaction,

Reference 11

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Observation cbf3b091-99b0-448c-a62c-926f0302d6da · outbound

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

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Communication-efficient learning of deep networks from decentralized data,

Reference 12

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Observation b267c6ad-186f-4f7e-a428-7f8ec59677e4 · outbound

This paper cites Federated optimization in heterogeneous networks,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Federated optimization in heterogeneous networks,

Reference 13

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Observation 32c2ef9d-bf1e-4c23-9e6d-1744ef8feff4 · outbound

This paper cites Towards personalized federated learning,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Towards personalized federated learning,

Reference 14

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Observation 6ed8c076-5612-4c22-99ba-b57bb7dc0f1e · outbound

This paper cites Fedala: Adaptive local aggregation for personalized federated learning,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Fedala: Adaptive local aggregation for personalized federated learning,

Reference 15

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Observation 67e90a86-2c7a-4876-a4bf-a5a17a35be36 · outbound

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

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Carla: An open urban driving simulator,

Reference 16

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Observation d9eeb955-e0bd-41f4-a8f7-c7acfb862400 · outbound

This paper cites Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach,

Reference 17

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Observation a30b6d37-0aa5-4c01-ad80-075b86b10726 · outbound

This paper cites Exploiting shared representations for personalized federated learning,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Exploiting shared representations for personalized federated learning,

Reference 18

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Observation 067f6675-4987-4f39-979b-f6ea3eec7c16 · outbound

This paper cites Personalized federated learning with moreau envelopes,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Personalized federated learning with moreau envelopes,

Reference 19

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Observation 3bf5ae79-e2c7-479f-bbf5-677f0229d7c4 · outbound

This paper cites Ditto: Fair and robust federated learning through personalization,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Ditto: Fair and robust federated learning through personalization,

Reference 20

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Observation 859961c2-80b4-4e00-8fdd-69826ab9a98e · outbound

This paper cites Adaptive Personalized Federated Learning.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Adaptive Personalized Federated Learning

Reference 21

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Observation f1dcceb9-df53-4dd3-a747-25de22ab5877 · outbound

This paper cites Personalized Federated Learning with First Order Model Optimization.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Personalized Federated Learning with First Order Model Optimization

Reference 22

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Observation f88d91a7-b217-4661-8511-ecc884189368 · outbound

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

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Advances and open problems in federated learning,

Reference 23

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Observation df8f4113-cb1a-482d-b4db-6f86af67acb9 · outbound

This paper cites Per- sonalized cross-silo federated learning on non-iid data,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Per- sonalized cross-silo federated learning on non-iid data,

Reference 24

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Observation 7fbd9f1f-8637-4dd3-9957-8c8d7dfd221f · outbound

This paper cites Federated Meta-Learning with Fast Convergence and Efficient Communication.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Federated Meta-Learning with Fast Convergence and Efficient Communication

Reference 25

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Observation 240fbe5a-b03f-43cf-a62c-4ae27c681245 · outbound

This paper cites Federated Learning with Personalization Layers.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Federated Learning with Personalization Layers

Reference 26

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Observation 20ae0e32-5146-4b6f-aff5-567b2110a86d · outbound

This paper cites Traffic light assistant system for optimized energy consumption in an electric vehicle,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Traffic light assistant system for optimized energy consumption in an electric vehicle,

Reference 27

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Observation 2db8b8a8-11c7-4217-b115-4e5a45627395 · outbound

This paper cites Safe- and eco-driving control for connected and automated electric vehicles using analytical state-constrained optimal solution,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Safe- and eco-driving control for connected and automated electric vehicles using analytical state-constrained optimal solution,

Reference 28

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Observation 464abc7c-90f7-40c1-b1a8-a51325c681ea · outbound

This paper cites Vehicle speed prediction with rnn and attention model under multiple scenarios,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Vehicle speed prediction with rnn and attention model under multiple scenarios,

Reference 29

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Observation 971d9b89-c3a6-44ba-bfc3-d8e96c2fd94e · outbound

This paper cites Short-term vehicle speed prediction based on bilstm-gru model considering driver heterogeneity,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Short-term vehicle speed prediction based on bilstm-gru model considering driver heterogeneity,

Reference 30

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Observation 151518ce-0b75-4cf0-85a4-55c08d6ffc76 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 31

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Observation 1f74f288-f0e9-451b-8003-e875956ab4a2 · outbound

This paper cites Attention is all you need,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Attention is all you need,

Reference 32

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Observation 89e1f9da-f092-4e2b-8cf1-82499fe6a9b4 · outbound

This paper cites Data-free knowledge distillation for het- erogeneous federated learning,.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Data-free knowledge distillation for het- erogeneous federated learning,

Reference 33

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Observation debd9807-4c43-45d1-8a72-bd37ec051772 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Adam: A Method for Stochastic Optimization

Reference 34

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Observation bab6fe1b-c2c3-4a29-b2f8-e06e63479acf · outbound

This paper cites His research in- terests in federated learning and internet of vehicles.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction His research in- terests in federated learning and internet of vehicles

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:35:55.346508Z digest=sha256:494595d96641088307186f75da8fcfc9a8387fb64b14510fe7646a79c73a31ab

Observation a6dac6ec-3d23-4465-b373-c3ee9d834c11 · outbound

This paper cites an unresolved cited work.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Unresolved cited work

Reference 2020

Resolution
unresolved
raw_fallback, observed 2026-08-12T04:35:55.449606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:35:55.350406Z digest=sha256:e3908d4c6c22ea59ccc604fef4632be1732c791308b68cc341e06c3a321ef678

Observation 52dec615-3c30-4cd9-9075-7488ca4d4368 · outbound

This paper cites His research in- terests in personalized federated learning and inter- net of vehicles.

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction His research in- terests in personalized federated learning and inter- net of vehicles

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:35:55.476590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:35:55.342168Z digest=sha256:93f4fc4e3dcd1322aa09f94c7656535df2bbf628fd0e036791be5e828b5a1c0a

Pith citing papers

No inbound Pith citation observations are available.