Paper Citation Record · LEDGER

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic

As of 15 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2412.04020.

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

pith.paper-citation-record.v1
2412.04020 v3

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:55:11.690517Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

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.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

verified exact2
verified fuzzy33
unresolved9
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ef0d8d8-56c3-4963-a8cd-924df57b075e · outbound

This paper cites ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b692432-15f5-44df-9b5c-09b22c20d5bb · outbound

This paper cites Long-range pattern forecasting performance (20m+).

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Long-range pattern forecasting performance (20m+)

Reference 2

Resolution: verified exact; raw_fallback, observed 2026-08-11T21:55:11.970473Z

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.

Observation a69318c9-a650-4c72-9b5d-7f892fe0a12b · outbound

This paper cites Argoverse: 3d tracking and forecasting with rich maps.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Argoverse: 3d tracking and forecasting with rich maps

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.615073Z

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.

Observation fdf1e809-3eac-447f-aebb-c84536db70a6 · outbound

This paper cites Exploiting more information in sparse point cloud for 3d single object tracking.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Exploiting more information in sparse point cloud for 3d single object tracking

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.599271Z

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.

Observation ad7e54db-adcd-447b-959a-dbc17526745a · outbound

This paper cites Uncertainty-aware short-term motion prediction of traffic actors for urban transportation systems.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Uncertainty-aware short-term motion prediction of traffic actors for urban transportation systems

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.482145Z

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.

Observation 1e6159da-dfe6-4bd3-bf19-89c652d6d20a · outbound

This paper cites Scaling Motion Forecasting Models with Ensemble Distillation.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Scaling Motion Forecasting Models with Ensemble Distillation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T21:55:11.508023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7d42538-3087-4252-b5dd-4a1948e51afd · outbound

This paper cites Tpnet: Trajectory proposal network for motion prediction.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Tpnet: Trajectory proposal network for motion prediction

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.466188Z

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.

Observation 483da1fb-3cbb-48f6-b37d-67783f7be95d · outbound

This paper cites Hplflownet: Hierarchical permutohedral lattice flownet for scene flow estimation on large-scale point clouds.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Hplflownet: Hierarchical permutohedral lattice flownet for scene flow estimation on large-scale point clouds

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.450083Z

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.

Observation 2eed5e39-2ad4-4115-918d-47fa008396f5 · outbound

This paper cites Social gan: Socially acceptable tra- jectories with generative adversarial networks.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Social gan: Socially acceptable tra- jectories with generative adversarial networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.434857Z

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.

Observation 0c50a809-47df-438c-ba89-5c031e2f51ca · outbound

This paper cites Diffmap: Enhancing map segmentation with map prior using diffusion model.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Diffmap: Enhancing map segmentation with map prior using diffusion model

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.419516Z

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.

Observation 7e6180bf-27b4-4378-914a-456e392ae7d0 · outbound

This paper cites P-mapnet: Far-seeing map generator enhanced by both sdmap and hdmap priors.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic P-mapnet: Far-seeing map generator enhanced by both sdmap and hdmap priors

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.405324Z

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.

Observation 3c5454a0-5b9e-4952-9a13-c93d2193c156 · outbound

This paper cites Motion segmentation & multiple object tracking by correlation co-clustering.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Motion segmentation & multiple object tracking by correlation co-clustering

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.391482Z

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.

Observation 25045596-ec64-4f53-9889-17561f075a07 · outbound

This paper cites Kingma and Jimmy Ba.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Kingma and Jimmy Ba

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T21:55:11.543434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c76df80-bdc5-45d4-a0f3-41d3f2ece05f · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Pointpillars: Fast encoders for object detection from point clouds

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.367940Z

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.

Observation 2cd27416-7791-4ccc-96c9-6762e736e3b1 · outbound

This paper cites A survey on motion prediction and risk assessment for intelli- gent vehicles.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic A survey on motion prediction and risk assessment for intelli- gent vehicles

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.353006Z

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.

Observation fa900620-973c-4b8b-8826-b5099840d2ee · outbound

This paper cites Weakly supervised class-agnostic motion prediction for urban transportation systems.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Weakly supervised class-agnostic motion prediction for urban transportation systems

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.337775Z

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.

Observation b4135cca-7437-423b-8a68-66e6746129d3 · outbound

This paper cites Pnpnet: End-to-end per- ception and prediction with tracking in the loop.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Pnpnet: End-to-end per- ception and prediction with tracking in the loop

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T21:55:11.561855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3bfa411-d03d-41d1-982c-e57e78d866a1 · outbound

This paper cites Flownet3d: Learning scene flow in 3d point clouds.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Flownet3d: Learning scene flow in 3d point clouds

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.314443Z

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.

Observation 79a3bf11-1828-4e55-84c0-798c37e55177 · outbound

This paper cites Self- supervised pillar motion learning for urban transportation systems.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Self- supervised pillar motion learning for urban transportation systems

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.299415Z

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.

Observation 19f6caf7-815a-487f-b086-327d7b5de783 · outbound

This paper cites Multi- modal fusion transformer for end-to-end urban transporta- tion systems.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Multi- modal fusion transformer for end-to-end urban transporta- tion systems

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.284233Z

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.

Observation 564c077b-bc50-4d35-a88d-b471073344eb · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T21:55:11.580048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f936440b-778b-498c-93ec-4e9854e1aa26 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T21:55:11.584153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 252b1567-6454-471a-8875-6e133de3d3ab · outbound

This paper cites Long-term occupancy grid prediction using recurrent neural networks.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Long-term occupancy grid prediction using recurrent neural networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.249639Z

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.

Observation 90ec5310-e91f-4a48-a7d1-0998c32242fc · outbound

This paper cites Beyond pixels: Leveraging geom- etry and shape cues for online multi-object tracking.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Beyond pixels: Leveraging geom- etry and shape cues for online multi-object tracking

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.235517Z

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.

Observation 95703aa7-5a47-4929-a3fd-ae3524f7900b · outbound

This paper cites Pointr- cnn: 3d object proposal generation and detection from point cloud.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Pointr- cnn: 3d object proposal generation and detection from point cloud

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.221184Z

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.

Observation 8cdd7592-ec61-42cb-8e8c-01a2040e219e · outbound

This paper cites Pv-rcnn: Point- voxel feature set abstraction for 3d object detection.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Pv-rcnn: Point- voxel feature set abstraction for 3d object detection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.207046Z

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.

Observation 1119728d-d6b3-4afa-bbed-603646174297 · outbound

This paper cites Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T21:55:11.605799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71f71aa1-e90e-481e-9172-edafeb8b5a96 · outbound

This paper cites Multi-object tracking with quadruplet convolutional neu- ral networks.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Multi-object tracking with quadruplet convolutional neu- ral networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.192289Z

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.

Observation 69c9f22c-2b70-439b-ba9b-7dfb62bcd737 · outbound

This paper cites Attentiongan: Unpaired image-to-image transla- tion using attention-guided generative adversarial networks.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Attentiongan: Unpaired image-to-image transla- tion using attention-guided generative adversarial networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.178084Z

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.

Observation b5e67b9a-efe4-425e-8eee-03b200d20b5f · outbound

This paper cites Monocular plan view net- works for urban transportation systems.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Monocular plan view net- works for urban transportation systems

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.164721Z

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.

Observation a229b186-2d49-4aff-83f9-b58774818bea · outbound

This paper cites Self- supervised class-agnostic motion prediction with spatial and temporal consistency regularizations.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Self- supervised class-agnostic motion prediction with spatial and temporal consistency regularizations

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.150456Z

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.

Observation e6dbe1c8-e2ed-4060-95d6-0f3e34cf30f9 · outbound

This paper cites Semi-supervised class-agnostic motion prediction with pseudo label regenera- tion and bevmix.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Semi-supervised class-agnostic motion prediction with pseudo label regenera- tion and bevmix

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.136391Z

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.

Observation 238b1f55-77ab-4ac3-95ca-d508da760e13 · outbound

This paper cites Be-sti: Spatial-temporal integrated network for class-agnostic motion prediction with bidirectional enhancement.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Be-sti: Spatial-temporal integrated network for class-agnostic motion prediction with bidirectional enhancement

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.121625Z

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.

Observation 5e9223d5-1790-409b-ab6b-47bd743bb6b2 · outbound

This paper cites Spatiotemporal transformer attention network for 3d voxel level joint segmentation and motion prediction in point cloud.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Spatiotemporal transformer attention network for 3d voxel level joint segmentation and motion prediction in point cloud

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.107068Z

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.

Observation e8f4b388-0b27-42a0-af0d-7a077e616785 · outbound

This paper cites Spatiotemporal transformer attention network for 3d voxel level joint segmentation and motion prediction in point cloud.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Spatiotemporal transformer attention network for 3d voxel level joint segmentation and motion prediction in point cloud

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.092254Z

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.

Observation 030f390a-30c8-42dd-94f9-d165d4701ef5 · outbound

This paper cites FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T21:55:11.651925Z

Source-reported events for the cited work

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Observation 63e3c27f-11a1-4bca-a708-2771bd43506e · outbound

This paper cites Mo- tionnet: Joint perception and motion prediction for urban transportation systems based on bird’s eye view maps.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Mo- tionnet: Joint perception and motion prediction for urban transportation systems based on bird’s eye view maps

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.077061Z

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.

Observation 4ca831ec-c1bc-4bf1-aebb-36a3e88a695c · outbound

This paper cites Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-11T21:55:11.749163Z

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.

Observation 418c70da-d7d6-4030-ab87-e922bd486de3 · outbound

This paper cites Center- based 3d object detection and tracking.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Center- based 3d object detection and tracking

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.061522Z

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.

Observation 63dea5b5-f012-47a2-92fe-506491f271ad · outbound

This paper cites Trajgen: Generating realistic and diverse trajectories with re- active and feasible agent behaviors for urban transportation 7 systems.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Trajgen: Generating realistic and diverse trajectories with re- active and feasible agent behaviors for urban transportation 7 systems

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.046582Z

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.

Observation 889124c6-aa15-4d74-a95b-e5b0f789e589 · outbound

This paper cites Tnt: Target-driven trajectory pre- diction.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Tnt: Target-driven trajectory pre- diction

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.030696Z

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.

Observation 9a881ea0-113f-4995-91b9-8f178bcfce87 · outbound

This paper cites GenAD: Generative End-to-End Autonomous Driving.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic GenAD: Generative End-to-End Autonomous Driving

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T21:55:11.679735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f63d6f95-468b-4e5b-93ec-8a7d3697216b · outbound

This paper cites Point rcnn: An angle-free framework for rotated object detection.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Point rcnn: An angle-free framework for rotated object detection

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.015404Z

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.

Observation 96802fe7-5149-473a-a6c4-a4f566f7dcb8 · outbound

This paper cites Mapprior: Bird’s-eye view perception with generative mod- els, 2023.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic Mapprior: Bird’s-eye view perception with generative mod- els, 2023

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:12.000184Z

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.

Pith citing papers

No inbound Pith citation observations are available.