Paper Citation Record · LEDGER

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction

As of 7 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2601.17216.

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

pith.paper-citation-record.v1
2601.17216 v3

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:26:18.557786Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

17 of 17 outbound references displayed

verified exact0
verified fuzzy0
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 17be8bc3-d899-49b4-a7da-617f32c269f3 · outbound

This paper cites Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions.

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T08:26:17.151364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed561d42-295b-405f-8c64-540eb2864909 · outbound

This paper cites Video processing techniques for traffic flow monitoring: A survey,.

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction Video processing techniques for traffic flow monitoring: A survey,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T08:26:17.222190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 325a7dc9-a19d-41d6-b2f5-f5e7a0498034 · outbound

This paper cites Semantic communications with computer vision sensing for edge video transmission,.

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction Semantic communications with computer vision sensing for edge video transmission,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T08:26:17.351016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84c477a7-5b3e-4b5d-82fa-adf8f4a1a56b · outbound

This paper cites Revisiting Feature Prediction for Learning Visual Representations from Video.

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction Revisiting Feature Prediction for Learning Visual Representations from Video

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T08:26:17.488503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44f81a9e-edc9-40a9-a252-345f88a26a94 · outbound

This paper cites Traffic Congestion Detection from Surveillance Videos using Deep Learning,.

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction Traffic Congestion Detection from Surveillance Videos using Deep Learning,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T08:26:17.600246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09e6d561-c800-46e2-8c71-dec02c056ef0 · outbound

This paper cites A study on road accident prediction and contributing factors using explainable ML models: analysis and performance,.

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction A study on road accident prediction and contributing factors using explainable ML models: analysis and performance,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T08:26:17.667082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c13dc9f-10da-443d-85ed-d49ae5c70df6 · outbound

This paper cites Road car accident prediction using a machine-learning-enabled data analysis,.

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction Road car accident prediction using a machine-learning-enabled data analysis,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T08:26:17.741256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5612bbb-4827-40e9-9b28-aaebcfb6f1b3 · outbound

This paper cites Smart city transportation: Deep learning ensemble approach for traffic accident detection,.

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction Smart city transportation: Deep learning ensemble approach for traffic accident detection,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T08:26:17.825285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5fd100f-6032-42d4-9598-01674eeca37e · outbound

This paper cites Video Anomaly Detection and Explanation via Large Language Models.

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction Video Anomaly Detection and Explanation via Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T08:26:17.910177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ef8a5d2-53d1-4419-b11e-2ba399fadd4f · outbound

This paper cites Hussain, Y.

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction Hussain, Y

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T08:26:17.995021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74d850d4-4d7b-47aa-a749-0efca35c9f28 · outbound

This paper cites AI for Traffic Safety: Real-Time YOLO-Based System for Detecting Road Incidents,.

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction AI for Traffic Safety: Real-Time YOLO-Based System for Detecting Road Incidents,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T08:26:18.070164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab4703bd-5fe0-4596-9523-66830761cbe9 · outbound

This paper cites Collision Prediction of Smart Cities Using Co- simulation,.

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction Collision Prediction of Smart Cities Using Co- simulation,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T08:26:18.139869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0daaedb-8be4-4859-a077-91a1df29b09d · outbound

This paper cites An improved object detection and trajectory prediction method for traffic conflicts analysis,.

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction An improved object detection and trajectory prediction method for traffic conflicts analysis,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T08:26:18.234126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc9888d9-b8f0-4978-bc6c-4ce93df8eea4 · outbound

This paper cites [Online].

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction [Online]

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T08:26:18.302728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6994e437-06a1-40b3-bf93-448048b84e5b · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction YOLOv11: An Overview of the Key Architectural Enhancements

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T08:26:18.400528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fac34d3-4cfe-4339-909d-ba120fa20f88 · outbound

This paper cites Leveraging multimodal-llms assisted by instance segmen- tation for intelligent traffic monitoring,.

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction Leveraging multimodal-llms assisted by instance segmen- tation for intelligent traffic monitoring,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T08:26:18.472654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3be563c-f631-41a0-ba67-7b1fc0d4091d · outbound

This paper cites Semantic Edge–Cloud Communication for Real-Time Urban Traf- fic Surveillance with ViT and LLMs over Mobile Networks,.

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction Semantic Edge–Cloud Communication for Real-Time Urban Traf- fic Surveillance with ViT and LLMs over Mobile Networks,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T08:26:18.557786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.