Paper Citation Record · LEDGER

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation

As of 17 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2505.02476.

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

pith.paper-citation-record.v1
2505.02476 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:53:52.972146Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

33 of 33 outbound references displayed

verified exact3
verified fuzzy18
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 740589bb-fa7b-405f-84a4-ecb4a1dfec76 · outbound

This paper cites Deep learning for lidar point clouds in autonomous driving: A review,.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation Deep learning for lidar point clouds in autonomous driving: A review,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:53:54.386345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6cf30456-9dff-4597-8c40-44ab327090c4 · outbound

This paper cites CoCar NextGen: a Multi-Purpose Platform for Connected Autonomous Driving Research.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation CoCar NextGen: a Multi-Purpose Platform for Connected Autonomous Driving Research

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T00:53:52.601169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 759b76f4-53fd-41f0-9147-b713eea3c337 · outbound

This paper cites Robdekon: Robotic systems for decontamination in hazardous environments,.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation Robdekon: Robotic systems for decontamination in hazardous environments,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:53:54.335068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b38b0e6a-f759-4348-9578-0ea2e2da6d8e · outbound

This paper cites Recent trends in mobile robotics for 3d mapping in agriculture,.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation Recent trends in mobile robotics for 3d mapping in agriculture,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:53:54.232638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 55c1eb65-972c-419f-8a4d-fbbd331b6287 · outbound

This paper cites Real-time 3d object detection and slam fusion in a low-cost lidar test vehicle setup,.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation Real-time 3d object detection and slam fusion in a low-cost lidar test vehicle setup,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:53:54.123303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 11f3b660-84a1-4c94-82cd-ee753f1caddb · outbound

This paper cites Contour detection in unstructured 3d point clouds,.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation Contour detection in unstructured 3d point clouds,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:53:54.057178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eb8ac86e-05d3-4d9c-8612-889a7a0e9844 · outbound

This paper cites A step towards explainable artificial neural networks in image processing by dataset assessment,.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation A step towards explainable artificial neural networks in image processing by dataset assessment,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:53:54.030539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fb16fa7c-1681-4936-9a0a-fc3ce6bf9f01 · outbound

This paper cites The machine vision iceberg explained: Advancing dynamic testing by consid- ering holistic environmental relations,.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation The machine vision iceberg explained: Advancing dynamic testing by consid- ering holistic environmental relations,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:53:54.017714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6aa62deb-e629-41ef-8ee8-ce309719f753 · outbound

This paper cites Methodology for a statistical analysis of influencing factors on 3d object detection performance,.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation Methodology for a statistical analysis of influencing factors on 3d object detection performance,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:53:54.005030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 298f482d-212e-4dce-9606-ef1b5798ca96 · outbound

This paper cites Vision meets robotics: The kitti dataset,.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation Vision meets robotics: The kitti dataset,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T00:53:52.651489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fe47fb1-becf-4ad6-8e4b-bcf65ed7785f · outbound

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

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation Scalability in perception for autonomous driving: Waymo open dataset,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T00:53:52.655783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ea9d73c-b4bb-4282-b94a-3386b2b56323 · outbound

This paper cites Noise or Signal: The Role of Image Backgrounds in Object Recognition.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation Noise or Signal: The Role of Image Backgrounds in Object Recognition

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T00:53:52.659913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f2a3d97-fd1f-4a6f-a7af-ddab5c62aa4e · outbound

This paper cites Imbalance problems in object detection: A review,.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation Imbalance problems in object detection: A review,

Reference 13

Resolution: metadata mismatch; raw_fallback, observed 2026-08-16T00:53:53.706798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f1f99ef2-0327-4f81-90b0-2b656511b9e5 · outbound

This paper cites PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T00:53:52.668551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06b03640-2179-4f4c-a858-2cede47fb21c · outbound

This paper cites SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T00:53:52.672768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15f9b25f-bd2c-4076-8c19-7c78ea79e57f · outbound

This paper cites BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T00:53:52.677119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01efb9af-20fa-43a9-814b-3101d98d88ba · outbound

This paper cites "curse of rarity.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation "curse of rarity

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:53:53.976159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 94ee8648-4453-4658-8f56-64f4fc0fc620 · outbound

This paper cites Simulation of lidar sensors in real environmental conditions,.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation Simulation of lidar sensors in real environmental conditions,

Reference 18

Resolution: verified exact; raw_fallback, observed 2026-08-16T00:53:53.542035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4d446bd3-ecbd-42f0-9eff-a8a5bcec0918 · outbound

This paper cites 2d gaussian splatting for geometrically accurate radiance fields,.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation 2d gaussian splatting for geometrically accurate radiance fields,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T00:53:52.694136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7858bd29-445e-4be1-8c55-40f01a44fce0 · outbound

This paper cites Pharr, W.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation Pharr, W

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:53:53.962903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f6c71e73-4a19-4eae-995c-ebe8b02fb474 · outbound

This paper cites A survey on lidar scanning mechanisms,.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation A survey on lidar scanning mechanisms,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:53:53.949594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2217c3c6-8829-45ef-9cf9-64473cb6ec5e · outbound

This paper cites A methodology to model the rain and fog effect on the performance of automotive lidar sensors,.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation A methodology to model the rain and fog effect on the performance of automotive lidar sensors,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:53:53.935832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 007330bc-d553-4716-a4e9-60fec6ec3ca3 · outbound

This paper cites Infrared reflectivity of pedestrian mannequin for autonomous emergency braking testing,.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation Infrared reflectivity of pedestrian mannequin for autonomous emergency braking testing,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:53:53.888989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7b93c3e7-8c38-42df-a098-4aaab12ba457 · outbound

This paper cites Performance analysis of 10 models of 3d lidars for automated driving,.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation Performance analysis of 10 models of 3d lidars for automated driving,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:53:53.839598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2fa18e70-3e89-4fef-8b36-83d9f1431180 · outbound

This paper cites 6d target mover,.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation 6d target mover,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:53:53.778691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fd6fef0e-250c-4b93-8a44-e3c5ac066173 · outbound

This paper cites Modeling backscattering behavior of vulnerable road users based on high-resolution radar measurements,.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation Modeling backscattering behavior of vulnerable road users based on high-resolution radar measurements,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:53:53.765058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 286d848a-cd9c-4e6d-9dee-8296af3987d9 · outbound

This paper cites Lidar- aug: A general rendering-based augmentation framework for 3d object detection,.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation Lidar- aug: A general rendering-based augmentation framework for 3d object detection,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:53:53.750404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f346e53-94e8-4945-8bfe-9d78276a075e · outbound

This paper cites Real3D-Aug: Point Cloud Augmentation by Placing Real Objects with Occlusion Handling for 3D Detection and Segmentation.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation Real3D-Aug: Point Cloud Augmentation by Placing Real Objects with Occlusion Handling for 3D Detection and Segmentation

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-16T00:53:53.306994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d6c429a9-a83f-414d-8ad2-ff74e16af4c0 · outbound

This paper cites Paved2Paradise: Cost-Effective and Scalable LiDAR Simulation by Factoring the Real World.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation Paved2Paradise: Cost-Effective and Scalable LiDAR Simulation by Factoring the Real World

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-16T00:53:53.117908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1eabc405-8fc0-4d5f-b257-e5a10e5fa681 · outbound

This paper cites Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T00:53:52.909388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b226564e-93fa-47fa-8967-dc8ac7167406 · outbound

This paper cites NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T00:53:52.972146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fd4792b-df0a-4f9e-967e-b662b0d23c52 · outbound

This paper cites Available: https://openaccess.thecvf.com/content_cvpr_ 2016/html/Hackel_Contour_Detection_in_CVPR_2016_paper.html.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation Available: https://openaccess.thecvf.com/content_cvpr_ 2016/html/Hackel_Contour_Detection_in_CVPR_2016_paper.html

Reference 1618

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:53:54.043956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6465e38c-41f2-4cf6-b313-f0d2385c2435 · outbound

This paper cites "Curse of rarity" for autonomous vehicles.

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation "Curse of rarity" for autonomous vehicles

Reference 2022

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T00:53:53.562200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.