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Paper Citation Record · LEDGER

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.16156.

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

pith.paper-citation-record.v1
2607.16156 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:13:52.874615Z

measured 34 of 34 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

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

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Reference resolution

34 of 34 outbound references displayed

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  • unresolved34
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Outbound references

Observation ca7a07ea-98e7-4bac-8b25-74c13d52b090 · outbound

This paper cites an unresolved cited work.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Unresolved cited work

Reference 1

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Observation 8c453579-8b1f-4a88-bdeb-511dd3853bce · outbound

This paper cites Roadside lidar-based scene understanding toward intelligent traffic per- ception: A comprehensive review,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Roadside lidar-based scene understanding toward intelligent traffic per- ception: A comprehensive review,

Reference 2

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Observation 6a31e3a7-0227-46e8-badc-e05878182381 · outbound

This paper cites A systematic mapping review of surrogate safety assessment using traffic conflict techniques,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment A systematic mapping review of surrogate safety assessment using traffic conflict techniques,

Reference 3

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Observation f10ce171-d3e2-4ef0-a613-4f8f3d646e80 · outbound

This paper cites A modified post encroachment time model of urban road merging area based on lane-change charac- teristics,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment A modified post encroachment time model of urban road merging area based on lane-change charac- teristics,

Reference 4

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Observation 605faac2-50f1-4743-9fe8-052a12134b34 · outbound

This paper cites A review of surrogate safety measures uses in historical crash investigations,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment A review of surrogate safety measures uses in historical crash investigations,

Reference 5

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Observation c0e09286-a54c-4dcd-8449-5c6bf14fb81a · outbound

This paper cites Surrogate safety assessment in heteroge- neous traffic environment prevailing in developing countries: a system- atic literature review,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Surrogate safety assessment in heteroge- neous traffic environment prevailing in developing countries: a system- atic literature review,

Reference 6

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Observation c2aedcf8-a04f-4b35-95db-737d1b08c133 · outbound

This paper cites Surrogate safety measures from traffic simulation models: Final report,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Surrogate safety measures from traffic simulation models: Final report,

Reference 7

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Observation 9f1175bc-09b5-4463-9184-81149aa0236e · outbound

This paper cites Surrogate safety assess- ment model and validation: Final report,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Surrogate safety assess- ment model and validation: Final report,

Reference 8

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Observation 5cbe01f3-c627-4bd4-8f3e-a545e81e6403 · outbound

This paper cites Identifying if VISSIM simulation model and SSAM provide reasonable estimates for field measured traffic conflicts at signalized intersections,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Identifying if VISSIM simulation model and SSAM provide reasonable estimates for field measured traffic conflicts at signalized intersections,

Reference 9

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Observation ea350e1d-94b0-4e38-91c9-78dd8a644be7 · outbound

This paper cites Conflict-based safety evaluations at unsignalized inter- sections under mixed traffic conditions,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Conflict-based safety evaluations at unsignalized inter- sections under mixed traffic conditions,

Reference 10

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Observation 5fffbb17-62a1-4e9e-85ad-7f08ea93e078 · outbound

This paper cites A review of surrogate safety measures on road infrastructure,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment A review of surrogate safety measures on road infrastructure,

Reference 11

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Observation 651e9158-75ce-4b7d-885b-dca486e6f0ff · outbound

This paper cites A Real-time Evaluation Framework for Pedestrian's Potential Risk at Non-Signalized Intersections Based on Predicted Post-Encroachment Time.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment A Real-time Evaluation Framework for Pedestrian's Potential Risk at Non-Signalized Intersections Based on Predicted Post-Encroachment Time

Reference 12

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Observation 1b1f7c45-8ac3-43bc-b984-80314f834ef9 · outbound

This paper cites Before-after safety analysis of a shared space implementation.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Before-after safety analysis of a shared space implementation

Reference 13

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Observation 2821eae1-cd73-43eb-81c0-167b514031f2 · outbound

This paper cites Stochastic trajectory prediction via motion indeterminacy diffusion,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Stochastic trajectory prediction via motion indeterminacy diffusion,

Reference 14

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Observation 1c816231-90dd-4852-8d48-05b157cfd9fa · outbound

This paper cites Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data,

Reference 15

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Observation 74b91dbe-8c40-4c74-b975-97faa89c3350 · outbound

This paper cites Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions

Reference 16

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Observation f82c2c3c-b751-4afc-999c-9c84a7e48dbb · outbound

This paper cites Surrogate safety analysis of pedestrian-vehicle conflict at intersections using unmanned aerial vehicle videos,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Surrogate safety analysis of pedestrian-vehicle conflict at intersections using unmanned aerial vehicle videos,

Reference 17

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Observation 52de4fdc-37a3-4f46-8519-3ff38bd23161 · outbound

This paper cites Post encroachment time- based behavioral analysis of vehicle-pedestrian interactions at unsignal- ized midblock crosswalks,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Post encroachment time- based behavioral analysis of vehicle-pedestrian interactions at unsignal- ized midblock crosswalks,

Reference 18

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Observation 4ba6eb73-2a93-4b34-a2b9-5f9387f78a4f · outbound

This paper cites A real-time proactive intersection safety monitoring system based on video data,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment A real-time proactive intersection safety monitoring system based on video data,

Reference 19

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Observation b33a3c93-0f4d-42e8-9347-7cacab11f033 · outbound

This paper cites Real-time traffic conflict prediction at signalized intersections using vehicle trajectory data and deep learning,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Real-time traffic conflict prediction at signalized intersections using vehicle trajectory data and deep learning,

Reference 20

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Observation 6f0c7318-749c-47e8-b9fe-d0ad105888d5 · outbound

This paper cites Development of a roadside LiDAR-based situational awareness system,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Development of a roadside LiDAR-based situational awareness system,

Reference 21

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Observation 8f0b88e7-5a85-4a0d-bde3-a6dc4e44656e · outbound

This paper cites Real-time LiDAR applications for assessing the safety of vulnerable road users at urban intersections,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Real-time LiDAR applications for assessing the safety of vulnerable road users at urban intersections,

Reference 22

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Observation a929f4b2-34a9-4a8a-a62e-471ff731ad92 · outbound

This paper cites Enhancing vehicle sensing for traffic safety and mobility performance using roadside LiDAR sensors,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Enhancing vehicle sensing for traffic safety and mobility performance using roadside LiDAR sensors,

Reference 23

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Observation 7f6ce2f8-7cd4-4107-89a2-af67cf3db992 · outbound

This paper cites an unresolved cited work.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-01T21:13:51.103971Z digest=sha256:7eca5a2bdc37a1efe49341b461937572acfc830b34c1cad233bbe1d4d40a8504

Observation 4ddcf9ed-b20f-4952-899d-01dda808eb85 · outbound

This paper cites R-LiViT: A LiDAR-Visual-Thermal Dataset Enabling Vulnerable Road User Focused Roadside Perception.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment R-LiViT: A LiDAR-Visual-Thermal Dataset Enabling Vulnerable Road User Focused Roadside Perception

Reference 25

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Observation 3a6ff229-c611-4792-b27c-d2d088699482 · outbound

This paper cites Ouster BlueCity: AI-Driven Lidar for Smarter Cities,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Ouster BlueCity: AI-Driven Lidar for Smarter Cities,

Reference 26

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Observation bb939fbb-5c84-4271-88b8-c9ad9602eac9 · outbound

This paper cites Fast inference and update of probabilistic density estimation on trajectory prediction,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Fast inference and update of probabilistic density estimation on trajectory prediction,

Reference 27

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source=pdf_text observed=2026-08-01T21:13:51.607812Z digest=sha256:df54679c14dadce3e5da0e2ae3fec7cbde1a612fb2baeeeb312b0cf062476305

Observation cf0e0a79-f4cc-466b-ae65-4a3c33ecf93a · outbound

This paper cites What the constant velocity model can teach us about pedestrian motion prediction,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment What the constant velocity model can teach us about pedestrian motion prediction,

Reference 28

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Observation ca0ae1d9-0dda-46a0-9dda-94cdacc73ff5 · outbound

This paper cites Proactive safety monitoring: A functional approach to detect safety-related anoma- lies using unmanned aerial vehicle video data,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Proactive safety monitoring: A functional approach to detect safety-related anoma- lies using unmanned aerial vehicle video data,

Reference 29

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Observation f5a0af7a-4db5-470a-99fa-2784ecbc38fd · outbound

This paper cites Evaluation of traffic safety, based on micro-level behavioural data: Theoretical framework and first implementation,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Evaluation of traffic safety, based on micro-level behavioural data: Theoretical framework and first implementation,

Reference 30

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Observation c23ed391-3258-4acc-adcc-378bb863eea1 · outbound

This paper cites Predicted lane-based time to collision: A novel surrogate safety measure for pedestrian potential risk evaluation at non-signalized intersections,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Predicted lane-based time to collision: A novel surrogate safety measure for pedestrian potential risk evaluation at non-signalized intersections,

Reference 31

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Observation e472b69b-7d36-4268-b317-2005fe49e0b9 · outbound

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

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Pointpillars: Fast encoders for object detection from point clouds,

Reference 32

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Observation 7b0171dd-8d94-4669-905d-c5a02e690494 · outbound

This paper cites Lidar AI Solution,.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment Lidar AI Solution,

Reference 33

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Observation 9b022863-e609-425c-854e-911d4a6fc698 · outbound

This paper cites AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics.

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics

Reference 34

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Pith citing papers

No inbound Pith citation observations are available.