Paper Citation Record · LEDGER

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios

As of 22 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2512.11551.

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

pith.paper-citation-record.v1
2512.11551 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T07:29:14.497406Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

22 of 22 outbound references displayed

verified exact4
verified fuzzy18
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b8b3736b-3d69-4377-9f87-ef95078f7edb · outbound

This paper cites Road safety: Commission elcomes agreement on new EU rules to help save lives.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios Road safety: Commission elcomes agreement on new EU rules to help save lives

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:30:28.756524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4a0ac565-f457-4b7a-8267-873327b84aca · outbound

This paper cites Accounting for the special role of infrastructure-assisted collective perception.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios Accounting for the special role of infrastructure-assisted collective perception

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:30:28.784659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 234f3164-2472-4aba-b066-2780607b97b7 · outbound

This paper cites Cooperative infrastructure perception.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios Cooperative infrastructure perception

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:30:28.792055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ca4e1a9e-627f-4077-ba2e-3f649f4ff1c4 · outbound

This paper cites Optimal placement of roadside infrastructure sensors towards safer autonomous vehicle deployments.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios Optimal placement of roadside infrastructure sensors towards safer autonomous vehicle deployments

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:30:28.788608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b4c2cb5a-3ca3-4ca1-bb1e-f450b66fc1ca · outbound

This paper cites A comprehensive safety metric to evaluate perception in autonomous systems.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios A comprehensive safety metric to evaluate perception in autonomous systems

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:30:28.798655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1ca6dd72-f1a8-413d-8ddb-3b821485610e · outbound

This paper cites Dolphins: Dataset for collaborative perception enabled harmonious and interconnected self-driving.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios Dolphins: Dataset for collaborative perception enabled harmonious and interconnected self-driving

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:30:28.801987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a8f76544-088d-4fcc-a02c-09efabacc714 · outbound

This paper cites DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:30:27.590199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f3f7610-5683-4423-ad99-4436ede5b31f · outbound

This paper cites TUMTraf V2X Cooperative Perception Dataset.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios TUMTraf V2X Cooperative Perception Dataset

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:30:27.584755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 71f6c715-7775-40e7-995b-c5fedd3033a8 · outbound

This paper cites Scope: A synthetic multi-modal dataset for collective perception including physical-correct weather conditions.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios Scope: A synthetic multi-modal dataset for collective perception including physical-correct weather conditions

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:30:28.765551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 38027b65-1cc2-40ff-b273-3b2234e822dc · outbound

This paper cites Quantifying the performance and optimizing the placement of roadside sensors for cooperative vehicle-infrastructure systems.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios Quantifying the performance and optimizing the placement of roadside sensors for cooperative vehicle-infrastructure systems

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:30:28.769586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9d324ee3-5321-44da-a98f-47bd07adbfd6 · outbound

This paper cites Roadside lidar placement for cooperative traffic detection by a novel chance constrained stochastic simulation optimization approach.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios Roadside lidar placement for cooperative traffic detection by a novel chance constrained stochastic simulation optimization approach

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:30:28.805655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4360e8f3-57c9-4559-8852-8b317430b75d · outbound

This paper cites Collective perception datasets for autonomous driving: A comprehen- sive review.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios Collective perception datasets for autonomous driving: A comprehen- sive review

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:30:28.760359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6d1ef6dd-bf07-423d-93d3-2ebd8bcd1052 · outbound

This paper cites Dair-v2x: A large-scale dataset for vehicle- infrastructure cooperative 3d object detection.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios Dair-v2x: A large-scale dataset for vehicle- infrastructure cooperative 3d object detection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:30:28.773748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cf572653-e343-45b8-8a33-d03661f0ea20 · outbound

This paper cites V2x-seq: A large-scale sequential dataset for vehicle-infrastructure cooperative perception and forecasting.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios V2x-seq: A large-scale sequential dataset for vehicle-infrastructure cooperative perception and forecasting

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:30:28.795163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d15540a3-dfbc-4e13-ad58-3b419f5c69a3 · outbound

This paper cites V2x-vit: Vehicle-to-everything cooperative perception with vision transformer.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios V2x-vit: Vehicle-to-everything cooperative perception with vision transformer

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:30:28.780829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3f468f54-d7b9-4b85-beba-2842e0bcb417 · outbound

This paper cites CARLA: An Open Urban Driving Simulator.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios CARLA: An Open Urban Driving Simulator

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:30:28.776842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c9ff5935-1089-4a7f-9bfe-5403137de50c · outbound

This paper cites V2x-sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios V2x-sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:30:28.815584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7776e05b-60bd-4a61-b224-57fe99d0c031 · outbound

This paper cites V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:30:27.595144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 04f9c389-eaa3-4205-be28-849a6621bd73 · outbound

This paper cites Test protocol – aeb/lss vru systems.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios Test protocol – aeb/lss vru systems

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:30:28.812074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 68fdad0d-6c5c-4ae9-bf0a-f9061bee9572 · outbound

This paper cites CARLA-BSP: a simulated dataset with pedestrians.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios CARLA-BSP: a simulated dataset with pedestrians

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:30:27.600559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ef2c005d-9a02-44df-995b-217eedeb5454 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:30:28.819288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 88c16453-620f-4241-b1b2-27ac1f512e04 · outbound

This paper cites Towards Realistic Evaluation of Collective Perception for Connected and Automated Driving.

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios Towards Realistic Evaluation of Collective Perception for Connected and Automated Driving

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:30:28.808956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.