Paper Citation Record · LEDGER

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation

As of 20 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2412.08460.

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

pith.paper-citation-record.v1
2412.08460 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:50:01.466828Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:28:54.497447Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:28:56.549648Z

Reference resolution

42 of 42 outbound references displayed

verified exact1
verified fuzzy27
unresolved13
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c6a9e27-66a6-47af-820f-e6f80ed4f628 · outbound

This paper cites New connected vehicles on roads uk 2018-2030,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation New connected vehicles on roads uk 2018-2030,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.575480Z

Source-reported events for the cited work

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Observation 4ea52cca-bb86-43df-8c21-b7cb54be0bdc · outbound

This paper cites Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting,

Reference 2

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Source-reported events for the cited work

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Observation 9a7d1096-904f-4c1a-96ea-1c07da4028e4 · outbound

This paper cites Diffusion convolutional recurrent neural network: Data-driven traffic forecasting,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Diffusion convolutional recurrent neural network: Data-driven traffic forecasting,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T17:50:01.228310Z

Source-reported events for the cited work

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Observation a8cdf602-8898-43f9-9e09-8f4d2cbcb70e · outbound

This paper cites Graph wavenet for deep spatial-temporal graph modeling,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Graph wavenet for deep spatial-temporal graph modeling,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.523402Z

Source-reported events for the cited work

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

Observation 6cc51eff-bf16-40eb-9d09-dfbc0de4987b · outbound

This paper cites Temporal attention unit: Towards efficient spatiotemporal predictive learning,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Temporal attention unit: Towards efficient spatiotemporal predictive learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.505807Z

Source-reported events for the cited work

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

Observation 4858848e-205a-4415-9dcb-7ec5f820e628 · outbound

This paper cites Learning phrase representations using RNN encoder–decoder for statistical machine translation,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Learning phrase representations using RNN encoder–decoder for statistical machine translation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.490077Z

Source-reported events for the cited work

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

Observation 216ffe2e-18f3-404b-a9a6-76ad8067665c · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Communication-Efficient Learning of Deep Networks from Decentralized Data,

Reference 7

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Source-reported events for the cited work

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Observation d85256b6-d371-42fc-9ece-9e793a3ee5f7 · outbound

This paper cites A federated learning-based framework for ride- sourcing traffic demand prediction,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation A federated learning-based framework for ride- sourcing traffic demand prediction,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.467963Z

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

Observation e91bdfb8-5a00-4398-9a07-2c02cc7b50c8 · outbound

This paper cites Cross-node federated graph neural network for spatio-temporal data modeling,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Cross-node federated graph neural network for spatio-temporal data modeling,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T17:50:01.271683Z

Source-reported events for the cited work

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Observation a3448a6d-9ce1-46b0-a111-caeef1a13d1b · outbound

This paper cites Fedstn: Graph representation driven federated learning for edge computing enabled urban traffic flow prediction,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Fedstn: Graph representation driven federated learning for edge computing enabled urban traffic flow prediction,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.456409Z

Source-reported events for the cited work

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

Observation 6db749ce-13e1-42c0-8c17-81d6e29f3369 · outbound

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

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Privacy-preserving traffic flow prediction: A federated learning approach,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.443325Z

Source-reported events for the cited work

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

Observation 93e6ac2c-05ab-4eb6-ad36-1025d85c8e05 · outbound

This paper cites Fastgnn: A topological information protected federated learning approach for traffic speed fore- casting,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Fastgnn: A topological information protected federated learning approach for traffic speed fore- casting,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.427183Z

Source-reported events for the cited work

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

Observation dd2556e4-3b8a-40f2-9ff3-4989df852586 · outbound

This paper cites Dual attention-based federated learning for wireless traffic prediction,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Dual attention-based federated learning for wireless traffic prediction,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.412114Z

Source-reported events for the cited work

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

Observation a0b87443-4882-40f4-ba16-5038241f6890 · outbound

This paper cites Graph-based traffic forecasting via communication-efficient federated learning,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Graph-based traffic forecasting via communication-efficient federated learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.395126Z

Source-reported events for the cited work

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

Observation 47c6e47b-5b88-4cb5-8134-cb695b539197 · outbound

This paper cites Fedagcn: A traffic flow prediction framework based on federated learning and asynchronous graph convolutional network,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Fedagcn: A traffic flow prediction framework based on federated learning and asynchronous graph convolutional network,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.382147Z

Source-reported events for the cited work

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

Observation b8ed47b3-105b-468d-8f45-3fcebbb94102 · outbound

This paper cites Federated Learning with Non-IID Data.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Federated Learning with Non-IID Data

Reference 16

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Source-reported events for the cited work

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Observation 5c348c73-bde3-41ca-99bc-7442ce646e90 · outbound

This paper cites Federated learning with gan-based data synthesis for non-iid clients,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Federated learning with gan-based data synthesis for non-iid clients,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.366374Z

Source-reported events for the cited work

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

Observation a76d42f1-b276-48de-b9fd-efe26666ee62 · outbound

This paper cites Federated generative privacy,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Federated generative privacy,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.349610Z

Source-reported events for the cited work

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

Observation 57889edc-482d-453f-9c68-ee2b88a75649 · outbound

This paper cites Fedsyn: Synthetic data generation using federated learning,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Fedsyn: Synthetic data generation using federated learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.335931Z

Source-reported events for the cited work

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Observation 73d07d3f-eeaa-4ec0-9c55-cedffd35ff00 · outbound

This paper cites Difftraj: Generating GPS trajectory with diffusion probabilistic model,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Difftraj: Generating GPS trajectory with diffusion probabilistic model,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.318144Z

Source-reported events for the cited work

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

Observation f183b9ca-ea07-47c3-a701-20d66fbef2cb · outbound

This paper cites Adaptive federated optimization,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Adaptive federated optimization,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.302483Z

Source-reported events for the cited work

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

Observation 6f9c3353-2930-4a14-a8cb-644edff76f2d · outbound

This paper cites Federated optimization in heterogeneous networks,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Federated optimization in heterogeneous networks,

Reference 22

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Source-reported events for the cited work

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Observation a4511a64-ddfe-4e16-8e81-736c47d7cc2b · outbound

This paper cites Fedmix: Approximation of mixup under mean augmented federated learning,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Fedmix: Approximation of mixup under mean augmented federated learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.263040Z

Source-reported events for the cited work

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

Observation 4348d9c5-6470-4b87-8a84-3e5503795a1c · outbound

This paper cites Federated learning in non-iid settings aided by differentially private synthetic data,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Federated learning in non-iid settings aided by differentially private synthetic data,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.237457Z

Source-reported events for the cited work

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

Observation b91a23f7-1910-434c-88ba-0e1bde2743bc · outbound

This paper cites Geographically masking health data to preserve confidentiality.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Geographically masking health data to preserve confidentiality

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.212060Z

Source-reported events for the cited work

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

Observation 79bb5ea4-aa57-4913-a507-da0c7faabb5e · outbound

This paper cites Ensuring confidentiality of geocoded health data: Assessing geographic masking strategies for individual-level data,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Ensuring confidentiality of geocoded health data: Assessing geographic masking strategies for individual-level data,

Reference 26

Resolution: verified exact; doi, observed 2026-08-11T17:50:01.512765Z

Source-reported events for the cited work

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

Observation 2c2059c9-aef4-4492-8a62-7d4eccb204b9 · outbound

This paper cites Towards trajectory anonymization: a generalization-based approach,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Towards trajectory anonymization: a generalization-based approach,

Reference 27

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Source-reported events for the cited work

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

Observation 91bb7f62-2ccd-4e7a-a4de-4c5061c1225e · outbound

This paper cites Graph attention networks,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Graph attention networks,

Reference 28

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Source-reported events for the cited work

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Observation b45c3596-13e7-4607-9fdb-122ffa6a6530 · outbound

This paper cites Continuous trajectory generation based on two-stage gan,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Continuous trajectory generation based on two-stage gan,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.169957Z

Source-reported events for the cited work

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

Observation 94eed422-e916-428c-a2fc-6b00d64abcdc · outbound

This paper cites Trajvae,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Trajvae,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.137259Z

Source-reported events for the cited work

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

Observation e889cb69-b9f1-4fec-ae72-86e187d2ada7 · outbound

This paper cites Conditional generative adversarial nets,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Conditional generative adversarial nets,

Reference 31

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Source-reported events for the cited work

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Observation 7970cdb3-a0ff-4e4e-adb8-a4fd71c93671 · outbound

This paper cites Learning structured output representation using deep conditional generative models,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Learning structured output representation using deep conditional generative models,

Reference 32

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Source-reported events for the cited work

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Observation b010eef1-2b4c-45e7-b2df-d6ad693cf40d · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation U-net: Convolutional networks for biomedical image segmentation,

Reference 33

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Source-reported events for the cited work

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Observation 86047bb2-3be8-4405-80b1-311b61237495 · outbound

This paper cites Wide & deep learning for recommender systems,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Wide & deep learning for recommender systems,

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cd76c4f-5df4-4cff-b53d-ec93d03b9526 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.049004Z

Source-reported events for the cited work

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Observation 8189ab98-163b-4699-85af-864b750efa3c · outbound

This paper cites Diffuseq: Sequence to sequence text generation with diffusion models,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Diffuseq: Sequence to sequence text generation with diffusion models,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.024504Z

Source-reported events for the cited work

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

Observation 9002ff31-e46c-4db3-8bb3-486c2bf6d7dd · outbound

This paper cites Imagen video: High definition video generation with diffusion models,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Imagen video: High definition video generation with diffusion models,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.003650Z

Source-reported events for the cited work

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

Observation 05355c17-71a5-4853-8a75-156bac03a8c4 · outbound

This paper cites Geodiff: A geometric diffusion model for molecular conformation generation,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Geodiff: A geometric diffusion model for molecular conformation generation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:01.974640Z

Source-reported events for the cited work

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

Observation 9e4395d4-7147-4cbe-96b1-ba8cd736d438 · outbound

This paper cites Federated learning on non-iid data silos: An experimental study,.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Federated learning on non-iid data silos: An experimental study,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:01.951277Z

Source-reported events for the cited work

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

Observation abde508c-f638-4871-8d52-f1d5224fe8e7 · outbound

This paper cites Available: https://proceedings.mlsys.org/paper files/ paper/2020/file/1f5fe83998a09396ebe6477d9475ba0c-Paper.pdf.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Available: https://proceedings.mlsys.org/paper files/ paper/2020/file/1f5fe83998a09396ebe6477d9475ba0c-Paper.pdf

Reference 450

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Source-reported events for the cited work

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Observation 591646c3-93fe-4e66-8fcb-bb9fe59d59ea · outbound

This paper cites Conditional Generative Adversarial Nets.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Conditional Generative Adversarial Nets

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-11T17:50:01.426948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68a9a182-f81e-4c10-87e2-267690998d37 · outbound

This paper cites Available: https://www.statista.com/statistics/993364/ new-connected-vehicles-on-roads-uk/.

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Available: https://www.statista.com/statistics/993364/ new-connected-vehicles-on-roads-uk/

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:50:02.557944Z

Source-reported events for the cited work

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

Pith citing papers

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

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator cites this paper.

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 2026-08-20T06:33:59.587034+00:00.