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Paper Citation Record · LEDGER

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections

As of 3 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.16943.

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

pith.paper-citation-record.v1
2607.16943 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T19:32:19.948763Z

measured 42 of 42 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

42 of 42 outbound references displayed

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  • unresolved40
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Outbound references

Observation 39fcfd28-0188-4628-bf1a-58b0f23aa234 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 1

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Observation 64cb4146-f30f-4e22-85c4-9b6a4ff54226 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections nuscenes: A multimodal dataset for autonomous driving,

Reference 2

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Observation a5c3525e-8103-4787-8854-8920a4943ce2 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Scalability in perception for autonomous driving: Waymo open dataset,

Reference 3

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Observation 504d3447-c155-4e39-a81d-14f083954e7d · outbound

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

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Argoverse: 3d tracking and forecasting with rich maps,

Reference 4

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Observation 92041369-6e85-452f-98f9-793325c0aa3d · outbound

This paper cites Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset

Reference 5

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Observation 364f4d31-0115-4b41-aa94-b9e01780598b · outbound

This paper cites Assessment of vehicle trajectory data accuracy and application to the ngsim trajectory data,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Assessment of vehicle trajectory data accuracy and application to the ngsim trajectory data,

Reference 6

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Observation b4359a44-979f-4a25-882a-0e8537f82be3 · outbound

This paper cites The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems,

Reference 7

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Observation d9145381-bf08-48a1-9209-114d9392e461 · outbound

This paper cites The ind dataset: A drone dataset of naturalistic road user trajectories at german intersections,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections The ind dataset: A drone dataset of naturalistic road user trajectories at german intersections,

Reference 8

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Observation 7a6f6fea-4f15-45b8-8247-c23913ac79eb · outbound

This paper cites INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 9

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Observation 79ea9ea9-48c9-4f73-b037-2d0eb1cb3e79 · outbound

This paper cites The round dataset: A drone dataset of road user trajectories at roundabouts in germany,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections The round dataset: A drone dataset of road user trajectories at roundabouts in germany,

Reference 10

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Observation b76e9156-7f30-4608-9561-417c6e0a5d59 · outbound

This paper cites opendd: A large-scale roundabout drone dataset,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections opendd: A large-scale roundabout drone dataset,

Reference 11

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Observation 5645521b-c492-4f24-944c-e09907122a9e · outbound

This paper cites CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twins.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twins

Reference 12

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Observation 0a2d6f7a-0453-4669-8b39-03bc3dae0e28 · outbound

This paper cites A9 Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside Perception.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections A9 Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside Perception

Reference 13

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Observation 195d8196-5d83-4656-9d46-841e2b3e3704 · outbound

This paper cites Sind: A drone dataset at signalized intersection in china,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Sind: A drone dataset at signalized intersection in china,

Reference 14

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Observation 286f230f-0793-4115-ac41-b71382a266f4 · outbound

This paper cites an unresolved cited work.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Unresolved cited work

Reference 15

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Observation 70f2399c-8643-4baf-b333-cd4633fdbd2a · outbound

This paper cites A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation

Reference 16

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Observation e9cdb1de-7d63-434f-b1e4-5efaf0407efb · outbound

This paper cites Application of proximal surrogate indicators for safety evaluation: A review of recent developments and research needs,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Application of proximal surrogate indicators for safety evaluation: A review of recent developments and research needs,

Reference 17

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Observation 889e0dc5-85b5-4fd4-b477-37af8106ddc3 · outbound

This paper cites Curse of rarity for autonomous vehicles,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Curse of rarity for autonomous vehicles,

Reference 18

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Observation 3047734c-e0f5-41dc-970c-b2f90fde2993 · outbound

This paper cites Accelerated Evaluation of Automated Vehicles Safety in Lane Change Scenarios Based on Importance Sampling Techniques.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Accelerated Evaluation of Automated Vehicles Safety in Lane Change Scenarios Based on Importance Sampling Techniques

Reference 19

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Observation 8c6ba78a-757f-4280-8033-d238c54317c4 · outbound

This paper cites Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety- Critical Systems,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety- Critical Systems,

Reference 20

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Observation 4065075b-6a72-4799-a18b-4bc15b70b300 · outbound

This paper cites Adaptive Stress Testing for Autonomous Vehicles.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Adaptive Stress Testing for Autonomous Vehicles

Reference 21

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Observation f6fdbd1f-db4d-4f56-acbb-9ac737bb8126 · outbound

This paper cites Safety-critical scenario generation for automated driving systems: A review,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Safety-critical scenario generation for automated driving systems: A review,

Reference 22

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Observation 4c038eb4-6ed0-4ef2-90dd-244ad8f56292 · outbound

This paper cites A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective

Reference 23

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Observation 2436df95-a605-4f07-aa02-d9bf6bc0f175 · outbound

This paper cites Testing sce- nario library generation for connected and automated vehicles, part i: Methodology,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Testing sce- nario library generation for connected and automated vehicles, part i: Methodology,

Reference 24

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Observation 3970ac39-ba1c-4b1c-bc86-c2fdf5f6fd1e · outbound

This paper cites SimNet: Learning Reactive Self-driving Simulations from Real-world Observations.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections SimNet: Learning Reactive Self-driving Simulations from Real-world Observations

Reference 25

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Observation 6af66351-4e1f-46bf-b45f-f535bea983a0 · outbound

This paper cites BITS: Bi-level Imitation for Traffic Simulation.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections BITS: Bi-level Imitation for Traffic Simulation

Reference 26

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Observation 57938a49-3ef4-4172-a883-7f3827dcad7f · outbound

This paper cites TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios

Reference 27

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Observation 9b4bd92e-315e-49da-a0ce-952a669e673b · outbound

This paper cites Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion

Reference 28

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Observation a9b26f80-6e4f-4e62-81b6-e9742193ac6c · outbound

This paper cites Generation of signalized intersection test scenarios based on traffic participant model,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Generation of signalized intersection test scenarios based on traffic participant model,

Reference 29

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Observation d23cb333-e707-49e9-b68b-84dcc3ea3e4f · outbound

This paper cites Text2scenario: Text-driven scenario generation for autonomous driving test,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Text2scenario: Text-driven scenario generation for autonomous driving test,

Reference 30

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Observation 820bacb5-ec0a-48dc-aaf1-99b7cc750201 · outbound

This paper cites Recent development and applications of sumo: Simulation of urban mobility,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Recent development and applications of sumo: Simulation of urban mobility,

Reference 31

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Observation 5976d20f-67ff-4c0c-be55-1eed2c851af7 · outbound

This paper cites CARLA: An Open Urban Driving Simulator.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections CARLA: An Open Urban Driving Simulator

Reference 32

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Observation fc3640ec-5d91-4d3a-a4a2-fd9551b5618c · outbound

This paper cites Scenic: A Language for Scenario Specification and Scene Generation.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Scenic: A Language for Scenario Specification and Scene Generation

Reference 33

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Observation b7840b7a-fb4f-420c-8ef6-d40ba8ef9d8c · outbound

This paper cites Commonroad: Composable benchmarks for motion planning on roads,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Commonroad: Composable benchmarks for motion planning on roads,

Reference 34

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Observation 21c172eb-afdb-44fc-bb0b-95058cae6ce3 · outbound

This paper cites ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling

Reference 36

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Observation 10d9bdc7-1075-4165-a371-a35694fd2c0e · outbound

This paper cites Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 37

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Observation 89eec80f-97ff-430f-bdc0-0c09287998f7 · outbound

This paper cites trajdata: A Unified Interface to Multiple Human Trajectory Datasets.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections trajdata: A Unified Interface to Multiple Human Trajectory Datasets

Reference 38

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Observation ea89f3fd-cca1-4ee3-86c1-2b56e6e481bf · outbound

This paper cites High- dimensional functional boundaries search for deviation-robust testing of autonomous driving system,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections High- dimensional functional boundaries search for deviation-robust testing of autonomous driving system,

Reference 39

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Observation 4a5359f4-cd1f-4ad5-a949-fe9159e3405f · outbound

This paper cites Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors,

Reference 40

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Observation f6cf8dd4-27a9-454a-965d-ae85b66e2ed8 · outbound

This paper cites Query-centric trajectory prediction,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Query-centric trajectory prediction,

Reference 41

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Observation 469a312c-776d-45a8-85f9-bb6b362157f1 · outbound

This paper cites Planning with diffusion for flexible behavior synthesis,.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Planning with diffusion for flexible behavior synthesis,

Reference 42

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Observation 933cf13f-8051-45be-8d78-affb6c15a156 · outbound

This paper cites Towards learning-based planning:The nuPlan benchmark for real-world autonomous driving.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections Towards learning-based planning:The nuPlan benchmark for real-world autonomous driving

Reference 2024

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