Paper Citation Record · LEDGER

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction

As of 9 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 2 inbound Pith citation observations for arXiv:2506.02654.

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

pith.paper-citation-record.v1
2506.02654 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:25:26.560417Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:16:41.644904Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy38
unresolved3
parse uncertain0
malformed identifier0
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External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 02a7f6b6-bcc6-4664-8ba9-83b30fd9f0f0 · outbound

This paper cites Short-Term Traffic Forecast- ing: Where We Are And Where We’re Going.Transportation Research Part C: Emerging Technologies (TRC), 2014.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Short-Term Traffic Forecast- ing: Where We Are And Where We’re Going.Transportation Research Part C: Emerging Technologies (TRC), 2014

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:27.666945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fd9887d1-6453-4a01-91b4-74d259916c75 · outbound

This paper cites Traffic Flow Prediction With Big Data: A Deep Learning Approach.IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2014.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Traffic Flow Prediction With Big Data: A Deep Learning Approach.IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2014

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:27.477077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8eb87460-fabc-42c0-9648-b16369ae9ef4 · outbound

This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework For Traffic Forecasting.arXiv, 2017.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework For Traffic Forecasting.arXiv, 2017

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:27.421247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c70d39bf-d27e-455b-a638-7782fc9067c5 · outbound

This paper cites Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.arXiv, 2017.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.arXiv, 2017

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:27.385432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 10fa50d5-48a3-43c2-bfbe-6900f6a46009 · outbound

This paper cites Meta-MSNet: Meta-Learning Based Multi-Source Data Fusion For Traffic Flow Prediction.IEEE Signal Processing Letters (SPL), 2020.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Meta-MSNet: Meta-Learning Based Multi-Source Data Fusion For Traffic Flow Prediction.IEEE Signal Processing Letters (SPL), 2020

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:27.337290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cfcf8d54-e621-47fe-9a55-a04ed08473da · outbound

This paper cites Traffic Flow Matrix-Based Graph Neural Network With Attention Mechanism For Traffic Flow Prediction.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Traffic Flow Matrix-Based Graph Neural Network With Attention Mechanism For Traffic Flow Prediction

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:27.285617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 266c54f8-2c11-46be-8b56-0aa8624f7e7e · outbound

This paper cites Vehicle Flow Prediction At Checkpoint Considering Trajectory Based On Convolutional Long Short-Term Memory Network.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Vehicle Flow Prediction At Checkpoint Considering Trajectory Based On Convolutional Long Short-Term Memory Network

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:27.239344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eedbabf2-24d8-4b46-8fca-c5919d2d8c46 · outbound

This paper cites City-Scale Vehicle Trajectory Data From Traffic Camera Videos.Scientific Data (Sci.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction City-Scale Vehicle Trajectory Data From Traffic Camera Videos.Scientific Data (Sci

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:27.209444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c8f9e5c5-9fa7-48b4-ac3c-68a9967cfc48 · outbound

This paper cites PKET-GCN: Prior Knowledge Enhanced Time-Varying Graph Convolution Network For Traffic Flow Prediction.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction PKET-GCN: Prior Knowledge Enhanced Time-Varying Graph Convolution Network For Traffic Flow Prediction

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:27.192190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a1855af9-e70d-44a2-80a9-3c13ec8caffc · outbound

This paper cites Short-Term Traffic Flow Prediction Based On Spatio-Temporal Analysis And CNN Deep Learning.Transportmetrica A: Transport Science (Transport.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Short-Term Traffic Flow Prediction Based On Spatio-Temporal Analysis And CNN Deep Learning.Transportmetrica A: Transport Science (Transport

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:27.174415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 947ecba0-2fae-4909-9b3f-447c19e17963 · outbound

This paper cites M-Mix: Pattern- wise Missing Mix For Filling The Missing Values In Traffic Flow Data.Neural Computing and Applications (NCA), 2024.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction M-Mix: Pattern- wise Missing Mix For Filling The Missing Values In Traffic Flow Data.Neural Computing and Applications (NCA), 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:27.157804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fb67bf16-41a9-4386-8d2e-42dc5524217d · outbound

This paper cites Deep Spatio-Temporal Residual Networks For Citywide Crowd Flows Prediction.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Deep Spatio-Temporal Residual Networks For Citywide Crowd Flows Prediction

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:27.140344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0d69a6dc-7944-4d6a-9443-8b36ce6521fd · outbound

This paper cites Dynamic Spatial-Temporal Graph Convolutional Neural Networks For Traffic Forecasting.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Dynamic Spatial-Temporal Graph Convolutional Neural Networks For Traffic Forecasting

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:27.121509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 81665ded-d1ce-4872-9d8c-c2d7003fb13a · outbound

This paper cites Dynamic Spatial-Temporal Representation Learning For Traffic Flow Prediction.IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS), 2020.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Dynamic Spatial-Temporal Representation Learning For Traffic Flow Prediction.IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS), 2020

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:27.102505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4172eb4f-bde3-43b6-857c-72dd612df1f4 · outbound

This paper cites Spatio-Temporal Hybrid Graph Convolutional Network For Traffic Forecasting In Telecommunication Networks.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Spatio-Temporal Hybrid Graph Convolutional Network For Traffic Forecasting In Telecommunication Networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:27.084196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1cc533b4-1b58-4123-b10d-4dbf664ed33e · outbound

This paper cites Urban Traffic Prediction From Mobility Data Using Deep Learning.IEEE Network (IEEE Netw.), 2018.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Urban Traffic Prediction From Mobility Data Using Deep Learning.IEEE Network (IEEE Netw.), 2018

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:27.066746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 584f132f-864d-4fa4-8488-0f3a47ee6a77 · outbound

This paper cites Learning Probabilistic Intersection Traffic Models For Trajectory Prediction.arXiv, 2020.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Learning Probabilistic Intersection Traffic Models For Trajectory Prediction.arXiv, 2020

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:27.049294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8c0d056f-6698-4a27-bdac-17aee61a9f88 · outbound

This paper cites The Path Inference Filter: Model- Based Low-Latency Map Matching of Probe Vehicle Data.IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS), 2013.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction The Path Inference Filter: Model- Based Low-Latency Map Matching of Probe Vehicle Data.IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS), 2013

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:27.031488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0c1cd128-1568-46ce-9846-dc554235460a · outbound

This paper cites On The Distribution Of Probe Traffic Volume Estimated From Their Footprints.arXiv, 2023.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction On The Distribution Of Probe Traffic Volume Estimated From Their Footprints.arXiv, 2023

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:27.013034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 952c70f8-f497-481d-98b9-278096716f50 · outbound

This paper cites Explainable Trajectory Representation Through Dictionary Learning.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Explainable Trajectory Representation Through Dictionary Learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:26.986644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f92457c9-1fed-4e14-8ae3-66ae12565723 · outbound

This paper cites Long Short-Term Memory Neural Network For Traffic Speed Prediction Using Remote Microwave Sensor Data.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Long Short-Term Memory Neural Network For Traffic Speed Prediction Using Remote Microwave Sensor Data

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:26.966804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d1ad9e4-e672-4361-8497-9addcdaced40 · outbound

This paper cites T-GCN: A Temporal Graph Convolutional Network For Traffic Prediction.IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS), 2019.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction T-GCN: A Temporal Graph Convolutional Network For Traffic Prediction.IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS), 2019

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:26.949128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d6445127-b9c6-4026-8640-dbaf39d39f63 · outbound

This paper cites View Vertically: A Hierarchical Network For Trajectory Prediction Via Fourier Spectrums.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction View Vertically: A Hierarchical Network For Trajectory Prediction Via Fourier Spectrums

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:26.931834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7a11c802-2172-4e69-b812-b611eba84833 · outbound

This paper cites Recon- structing Transit Vehicle Trajectory Using High-Resolution GPS Data.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Recon- structing Transit Vehicle Trajectory Using High-Resolution GPS Data

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:26.914334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a3911c21-d157-4dae-b5d3-f130e4b20eef · outbound

This paper cites GPT-4 Technical Report.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction GPT-4 Technical Report

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:25:26.490049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dbac410-b9eb-4c99-b521-f76f8ea92d27 · outbound

This paper cites DeepSeek-V3 Technical Report.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction DeepSeek-V3 Technical Report

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:25:26.494379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01f6596b-df50-428c-888b-1b0bb093b64a · outbound

This paper cites Bert: Pre-Training Of Deep Bidirectional Transformers For Language Understanding.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Bert: Pre-Training Of Deep Bidirectional Transformers For Language Understanding

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:26.897374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 291bd8fc-2e40-43d9-aee1-e099c5c9e9e6 · outbound

This paper cites Improving Language Understanding By Generative Pre-Training.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Improving Language Understanding By Generative Pre-Training

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:26.880122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7a0bb3a8-d0c2-4426-bdc6-73d0d41a2d31 · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Masked Autoencoders Are Scalable Vision Learners

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:26.863736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f40f256-4eda-421d-b105-767f25abaf76 · outbound

This paper cites Strategies for Pre-training Graph Neural Networks.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Strategies for Pre-training Graph Neural Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:25:26.512005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77f890d3-dcca-401b-9111-8bf4a4bb79bd · outbound

This paper cites Gpt-Gnn: Gen- erative Pre-Training Of Graph Neural Networks.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Gpt-Gnn: Gen- erative Pre-Training Of Graph Neural Networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:26.847862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0058b6cd-c7dd-4938-a6f0-fdf5c41171f2 · outbound

This paper cites Masked Token Enabled Pre-Training: A Task-Agnostic Approach For Understanding Complex Traffic Flow.IEEE Transactions on Mobile Computing, 2024.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Masked Token Enabled Pre-Training: A Task-Agnostic Approach For Understanding Complex Traffic Flow.IEEE Transactions on Mobile Computing, 2024

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:26.831641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 107f767b-e303-4ff3-8fab-53ef55432c11 · outbound

This paper cites Trafficformer: An Efficient Pre-Trained Model For Traffic Data.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Trafficformer: An Efficient Pre-Trained Model For Traffic Data

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:26.813280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 45b3271e-9ad8-4eae-b011-b52f23d1aaa8 · outbound

This paper cites Traf- ficBERT: Pre-Trained Model With Large-Scale Data For Long-Range Traffic Flow Forecasting.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Traf- ficBERT: Pre-Trained Model With Large-Scale Data For Long-Range Traffic Flow Forecasting

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:26.795239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ba85d79a-cbff-442b-851a-a8fd079d0e55 · outbound

This paper cites GQA: Training Generalized Multi-Query Transformer Models From Multi-Head Checkpoints.arXiv, 2023.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction GQA: Training Generalized Multi-Query Transformer Models From Multi-Head Checkpoints.arXiv, 2023

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:26.778184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1acd7633-6fbc-4efe-be62-cfd59d776e3f · outbound

This paper cites OpenStreetMap.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction OpenStreetMap

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:26.757894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7b987e83-9923-470f-968a-c4d5227db054 · outbound

This paper cites Osmnx: New Methods For Acquiring, Constructing, Analyzing, And Visualizing Complex Street Networks.Computers, Environment and Urban Systems, 2017.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Osmnx: New Methods For Acquiring, Constructing, Analyzing, And Visualizing Complex Street Networks.Computers, Environment and Urban Systems, 2017

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:26.734604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b744f32c-3ac9-4af5-81a8-74ebea491f73 · outbound

This paper cites Cblab: Supporting The Training Of Large- Scale Traffic Control Policies With Scalable Traffic Simulation.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Cblab: Supporting The Training Of Large- Scale Traffic Control Policies With Scalable Traffic Simulation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:26.713242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation adfe1141-7681-495d-b61e-517247d6b7cb · outbound

This paper cites Spatio-Temporal Vehicle Trajectory Recovery On Road Network Based On Traffic Camera Video Data.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Spatio-Temporal Vehicle Trajectory Recovery On Road Network Based On Traffic Camera Video Data

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:26.694582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9ac4b6bf-3e31-41da-85a5-48f20561b91e · outbound

This paper cites Traj2Traj: A Road Network Constrained Spatiotemporal Interpolation Model For Traffic Trajectory Restoration.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction Traj2Traj: A Road Network Constrained Spatiotemporal Interpolation Model For Traffic Trajectory Restoration

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:26.676941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d35bc452-4b7c-442e-b7d2-b9e5272e7fc2 · outbound

This paper cites The adjacency tokens 14 represent the information of each node, which is comprehensive but not efficient.

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction The adjacency tokens 14 represent the information of each node, which is comprehensive but not efficient

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:26.659014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 0600fcfa-43a9-41bd-b688-2951a06d673e · inbound

AGNFormer I: Reconstruction of AGN spectra using a probabilistic transformer model cites this paper.

AGNFormer I: Reconstruction of AGN spectra using a probabilistic transformer model A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-01T12:16:36.916342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38eb1fdd-dab2-4723-bde9-2dbbf94c45c4 · inbound

AGNFormer I: Reconstruction of AGN spectra using a probabilistic transformer model cites this paper.

AGNFormer I: Reconstruction of AGN spectra using a probabilistic transformer model A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction

Reference 118

Resolution: metadata mismatch; local_arxiv, observed 2026-08-01T12:18:29.278158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.