Paper Citation Record · LEDGER

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach

As of 5 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 2 inbound Pith citation observations for arXiv:2503.15845.

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

pith.paper-citation-record.v1
2503.15845 v2

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

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measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:29:49.022075Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

verified exact1
verified fuzzy56
unresolved1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6a13d232-1617-40c7-bd04-6c3608412dca · outbound

This paper cites State estimation of a physical system with unknown governing equations.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach State estimation of a physical system with unknown governing equations

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.786885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c870c40e-305d-4a76-9eaf-e6b545dc72fd · outbound

This paper cites Traffic state estimation on highway: A comprehensive survey.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Traffic state estimation on highway: A comprehensive survey

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.783333Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 75ecadb4-ae7b-4ddd-be94-8d00b049658f · outbound

This paper cites An extended Kalman filter approach for real-time state estimation in multi-region MFD urban networks.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach An extended Kalman filter approach for real-time state estimation in multi-region MFD urban networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:45:15.582185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1fc49a06-8083-4593-884a-a0e39124376f · outbound

This paper cites Real-time joint traffic state and model parameter estimation on freeways with fixed sensors and connected vehicles: State-of-the-art overview, methods, and case studies.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Real-time joint traffic state and model parameter estimation on freeways with fixed sensors and connected vehicles: State-of-the-art overview, methods, and case studies

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:45:15.586209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 16e1c8a4-1cf1-4c41-b402-b2353e6903d0 · outbound

This paper cites An adaptive framework for real- time freeway traffic estimation in the presence of cavs.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach An adaptive framework for real- time freeway traffic estimation in the presence of cavs

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.755122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation daa7e8fb-7bc1-485f-a3da-c9f3c9895f40 · outbound

This paper cites Stochastic Switching Mode Model based Filters for urban arterial traffic estimation from multi-source data.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Stochastic Switching Mode Model based Filters for urban arterial traffic estimation from multi-source data

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.888913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 94b1940c-c34c-4bc9-afd5-ba458b65aa68 · outbound

This paper cites Bayesian kernelized matrix factorization for spatiotemporal traffic data imputation and kriging.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Bayesian kernelized matrix factorization for spatiotemporal traffic data imputation and kriging

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.804737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 154d35b6-b655-4607-9bc3-98de1ca01341 · outbound

This paper cites Correlating sparse sensing for large-scale traffic speed estimation: A Laplacian-enhanced low-rank tensor kriging approach.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Correlating sparse sensing for large-scale traffic speed estimation: A Laplacian-enhanced low-rank tensor kriging approach

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.765781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9fe819e5-6f59-459c-abed-4f84222f0d5e · outbound

This paper cites GE-GAN: A novel deep learning framework for road traffic state estimation.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach GE-GAN: A novel deep learning framework for road traffic state estimation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.715273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation edf3c702-d4ad-4284-bbeb-53bc63b77d68 · outbound

This paper cites an unresolved cited work.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-22T23:47:16.885335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e6d6c359-1f60-464c-a8b4-5a97267a8e5e · outbound

This paper cites Cressie and C.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Cressie and C

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.860198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d7561c64-804b-4ec8-9c91-8b1e3053f4d7 · outbound

This paper cites Neural message passing for quantum chemistry.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Neural message passing for quantum chemistry

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.831747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7320d3f0-68b9-421d-8848-7d77c6cd0a08 · outbound

This paper cites Inductive graph neural networks for spatiotemporal kriging.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Inductive graph neural networks for spatiotemporal kriging

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.801640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 08c4c7de-2129-453b-b0c4-99ad0d62c93a · outbound

This paper cites AGNP: Network- wide short-term probabilistic traffic speed prediction and imputation.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach AGNP: Network- wide short-term probabilistic traffic speed prediction and imputation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.759184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9cc2e611-11c6-4e1a-bfd8-5fda1ed88a35 · outbound

This paper cites Kits: Inductive spatio-temporal kriging with increment training strategy.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Kits: Inductive spatio-temporal kriging with increment training strategy

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.730008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d93097f2-a163-43b1-af49-9ca270c16c24 · outbound

This paper cites KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-22T23:42:16.672409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d0870fc2-7301-4e61-aaef-ea22c9a02160 · outbound

This paper cites Towards better traffic volume es- timation: Jointly addressing the underdetermination and nonequilibrium problems with correlation-adaptive GNNs.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Towards better traffic volume es- timation: Jointly addressing the underdetermination and nonequilibrium problems with correlation-adaptive GNNs

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.712155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cd0b9503-fed9-4b69-86a8-9dae027b06bf · outbound

This paper cites Multi-view graph imputation network.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Multi-view graph imputation network

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.705482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f367dfce-a6d6-4f69-a441-5547796704e3 · outbound

This paper cites Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.881953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c793787c-395e-407f-b0c2-dededf8ada08 · outbound

This paper cites On the unreasonable effectiveness of feature propagation in learning on graphs with missing node features.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach On the unreasonable effectiveness of feature propagation in learning on graphs with missing node features

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.870934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e2739e02-702b-40fe-be0d-526949b5b72a · outbound

This paper cites On kinematic waves ii. a theory of traffic flow on long crowded roads.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach On kinematic waves ii. a theory of traffic flow on long crowded roads

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.856993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7c65cf50-c10d-4f08-bc01-c791fe42f9f9 · outbound

This paper cites High time-resolution queue profile estimation at signalized intersections based on extended kalman filtering.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach High time-resolution queue profile estimation at signalized intersections based on extended kalman filtering

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.828560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cebe8cca-574d-4849-83ae-2f46092fc000 · outbound

This paper cites Physics-informed deep learning for traffic state estimation: A hybrid paradigm informed by second-order traffic models.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Physics-informed deep learning for traffic state estimation: A hybrid paradigm informed by second-order traffic models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.818000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2c8f241d-06c7-486c-95f6-cb8d281aa4f9 · outbound

This paper cites A physics-informed deep learning paradigm for traffic state and fundamental diagram estimation.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach A physics-informed deep learning paradigm for traffic state and fundamental diagram estimation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.798412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation adc9fb2b-2eb9-4bad-87aa-444f7d4efc14 · outbound

This paper cites Macroscopic traffic flow modeling with physics regularized gaussian process: A new insight into machine learning applications in transportation.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Macroscopic traffic flow modeling with physics regularized gaussian process: A new insight into machine learning applications in transportation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.772361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 89906474-a5bc-4ea5-a8e3-d5fb94357218 · outbound

This paper cites Traffic flow modeling with gradual physics regularized learning.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Traffic flow modeling with gradual physics regularized learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.718385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 91218154-2d87-42e7-9646-ffc4f4df3728 · outbound

This paper cites Physics- informed deep learning for traffic state estimation based on the traffic flow model and computational graph method.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Physics- informed deep learning for traffic state estimation based on the traffic flow model and computational graph method

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.741052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9f8c10d4-9220-4a32-a4c2-c40b917770b1 · outbound

This paper cites Knowledge-data fusion oriented traffic state estimation: A stochastic physics-informed deep learning approach.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Knowledge-data fusion oriented traffic state estimation: A stochastic physics-informed deep learning approach

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.808030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 618741d3-f4f8-4864-94bf-4b7f7f59d363 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.721695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2c033a99-9a38-430d-baf6-3d94c3c8c8c4 · outbound

This paper cites Shock waves on the highway.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Shock waves on the highway

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.751775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8d1533e0-7385-4fdc-b81b-47e50d4d5a16 · outbound

This paper cites Resurrection of ‘second order’ models of traffic flow.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Resurrection of ‘second order’ models of traffic flow

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:45:15.062410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a479903b-c000-4ee4-b6e0-91a434c54b45 · outbound

This paper cites A non-equilibrium traffic model devoid of gas-like behavior.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach A non-equilibrium traffic model devoid of gas-like behavior

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.708838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 21875d73-c614-4447-9d55-8bc46295949b · outbound

This paper cites Dpm: A novel training method for physics-informed neural networks in extrapolation.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Dpm: A novel training method for physics-informed neural networks in extrapolation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.702192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 74c97314-4d2c-4de1-b731-3de6fc9d02f9 · outbound

This paper cites Physics-informed machine learning.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Physics-informed machine learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.780450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9cc02571-0ec6-488d-9366-0e1f790ec67c · outbound

This paper cites Fourier neural operator for learning solutions to macroscopic traffic flow models: Ap- plication to the forward and inverse problems.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Fourier neural operator for learning solutions to macroscopic traffic flow models: Ap- plication to the forward and inverse problems

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.878430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f142b15e-b012-4faf-9893-4138c9d2c5f6 · outbound

This paper cites Tensor Completion Algorithms in Big Data Analytics.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Tensor Completion Algorithms in Big Data Analytics

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:45:15.058936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 91ae33eb-a646-4a69-a21b-13d420a7afe9 · outbound

This paper cites Fast multivariate spatio- temporal analysis via low rank tensor learning.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Fast multivariate spatio- temporal analysis via low rank tensor learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.874531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ce20a57b-3579-467c-ac79-75b26ee7eadf · outbound

This paper cites Network-wide traffic flow estimation with insufficient volume detection and crowdsourcing data.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Network-wide traffic flow estimation with insufficient volume detection and crowdsourcing data

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.867308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a60062dc-43ed-4154-ab65-a9c3d1dca133 · outbound

This paper cites Kernelized probabilistic matrix factorization: Exploiting graphs and side information.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Kernelized probabilistic matrix factorization: Exploiting graphs and side information

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.863505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation df496466-2519-4872-9d43-d57afc0cc0de · outbound

This paper cites Temporal collaborative filtering with bayesian probabilistic tensor fac- torization.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Temporal collaborative filtering with bayesian probabilistic tensor fac- torization

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.853508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2a0a6f6e-1d03-444c-a7e4-d352a7587a33 · outbound

This paper cites Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.849140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 49e61ffc-e677-4011-875d-1977c0f34a2c · outbound

This paper cites Generative adversarial networks.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Generative adversarial networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.838245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 35d83fee-6690-4424-bfa6-1ee460bb8c0d · outbound

This paper cites Graph Embedding and Extensions: A General Framework for Dimensionality Reduction.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.835127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 523d27db-1235-4b13-8b5a-33e8af3521bd · outbound

This paper cites Geo- statistical interpolation of object counts collected from multiple strip transects: Ordinary kriging versus finite domain kriging.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Geo- statistical interpolation of object counts collected from multiple strip transects: Ordinary kriging versus finite domain kriging

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.825107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 145fe281-73c4-4e3e-a251-d7d7e14706cf · outbound

This paper cites Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T23:42:16.667565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b2600ed9-6982-4e4f-88b2-37737856174d · outbound

This paper cites MoGERNN: An Inductive Traffic Predictor for Unobserved Locations in Dynamic Sensing Networks.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach MoGERNN: An Inductive Traffic Predictor for Unobserved Locations in Dynamic Sensing Networks

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.821708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b8430d14-bb72-412d-a71e-559b65db9c0a · outbound

This paper cites Increase: Inductive graph representation learning for spatio-temporal kriging.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Increase: Inductive graph representation learning for spatio-temporal kriging

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.814363Z

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Observation a1f0fb3d-26b0-46bf-bc18-3bff869e7ce1 · outbound

This paper cites Inductive and adaptive graph convolution networks equipped with constraint task for spatial–temporal traffic data kriging.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Inductive and adaptive graph convolution networks equipped with constraint task for spatial–temporal traffic data kriging

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.811177Z

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Observation 1b5be6bf-bac0-4999-9811-8ffa1ec38039 · outbound

This paper cites A conditional diffusion model for probabilistic estimation of traffic states at sensor-free locations.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach A conditional diffusion model for probabilistic estimation of traffic states at sensor-free locations

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.795007Z

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Observation 9d74b0b7-6fb6-43bd-be53-edb94b522d41 · outbound

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

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Diffusion convolutional recurrent neural network: Data-driven traffic forecasting

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.791537Z

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Observation bd79854a-2c09-466d-9360-bb74166b08be · outbound

This paper cites Interpreting and Unifying Graph Neural Networks with An Optimization Framework.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Interpreting and Unifying Graph Neural Networks with An Optimization Framework

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.777014Z

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Observation d39b882f-1956-42cb-b5a7-b5e600dbba0a · outbound

This paper cites Dirichlet Energy Constrained Learning for Deep Graph Neural Net- works.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Dirichlet Energy Constrained Learning for Deep Graph Neural Net- works

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.768762Z

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Observation c432c210-e597-437d-be01-4bd0de5d0d47 · outbound

This paper cites Semi-supervised classification with graph convolutional networks.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Semi-supervised classification with graph convolutional networks

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.762402Z

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Observation f7e64aa4-9104-4a94-ad81-63d53a6a695f · outbound

This paper cites Diffusion Improves Graph Learning.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Diffusion Improves Graph Learning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.749041Z

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Observation 1b180f2f-3ea6-4c5d-9c6d-34dd71b10320 · outbound

This paper cites The heat kernel as the pagerank of a graph.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach The heat kernel as the pagerank of a graph

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.744545Z

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Observation e8dec3a0-5f38-4e6f-b827-5d0e4e95e44b · outbound

This paper cites Video-Based Vehicle Trajectory Data Collection.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Video-Based Vehicle Trajectory Data Collection

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.841463Z

Source-reported events for the cited work

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Observation e77fa777-b9c9-4e3d-a619-ab4787080e9e · outbound

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

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Spatio-temporal graph convolutional net- works: A deep learning framework for traffic forecasting

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.736727Z

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Observation 91e32fde-25d5-424a-bb84-959e5ea54258 · outbound

This paper cites Spatial-temporal identity: A simple yet effective baseline for multivariate time series forecasting.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Spatial-temporal identity: A simple yet effective baseline for multivariate time series forecasting

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.733701Z

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Observation e6ce13ab-4791-44ae-ad07-92ddf7a9f0a0 · outbound

This paper cites Timemixer: Decomposable multiscale mixing for time series forecasting.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Timemixer: Decomposable multiscale mixing for time series forecasting

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:47:16.725172Z

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Pith citing papers

Observation e221cb00-8466-4a98-9635-9fd99666fe54 · inbound

Network-Wide Traffic Volume Estimation from Speed Profiles using a Spatio-Temporal Graph Neural Network with Directed Spatial Attention cites this paper.

Network-Wide Traffic Volume Estimation from Speed Profiles using a Spatio-Temporal Graph Neural Network with Directed Spatial Attention Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T16:29:49.022075Z

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Observation eace3993-fee4-48b3-8f49-00b99a597b31 · inbound

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities cites this paper.

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach

Reference 2

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