Paper Citation Record · LEDGER

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet

As of 20 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2509.05198.

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

pith.paper-citation-record.v1
2509.05198 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:33:48.531558Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:52:30.404272Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T18:16:17.926450Z

Reference resolution

41 of 41 outbound references displayed

verified exact1
verified fuzzy33
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 38c64dd6-017e-472e-95ec-912ac25ff459 · outbound

This paper cites Discovering new shadow patterns for black- box attacks on lane detection of autonomous vehicles.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Discovering new shadow patterns for black- box attacks on lane detection of autonomous vehicles

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:48.360511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcf270db-a83b-423b-ae2b-9da4b435200a · outbound

This paper cites Avoiding the crash: A vision language model evaluation in critical traffic scenarios.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Avoiding the crash: A vision language model evaluation in critical traffic scenarios

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:49.182107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 552b0fca-30a7-40d9-b80f-b229062b5f2f · outbound

This paper cites Grasping pose estimation for scara robot based on deep learning of point cloud.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Grasping pose estimation for scara robot based on deep learning of point cloud

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:49.169169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aab0d3ad-ce30-463e-8530-c64030943387 · outbound

This paper cites Long-term estimation of human spatial interactions through multiple laser ranging sensors.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Long-term estimation of human spatial interactions through multiple laser ranging sensors

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:49.156009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0306cc87-6dbd-4c8a-850b-589e61b8e5fa · outbound

This paper cites Bim-based registration and localization of 3d point clouds of indoor scenes using geometric features for augmented reality.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Bim-based registration and localization of 3d point clouds of indoor scenes using geometric features for augmented reality

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:49.143225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0d7e90b7-9cdc-4da7-a232-8646c0316dba · outbound

This paper cites A mobile augmented reality system for the real-time visualization of pipes in point cloud data with a depth sensor.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet A mobile augmented reality system for the real-time visualization of pipes in point cloud data with a depth sensor

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:49.130540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 48cae59b-d19c-4b1a-96b7-a33cc4b52f53 · outbound

This paper cites Point cloud generation using deep adversarial local features for augmented and mixed reality contents.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Point cloud generation using deep adversarial local features for augmented and mixed reality contents

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:49.116663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2e8b1ba8-5e23-41d6-b566-d1461ca4971d · outbound

This paper cites Graph neural networks in point clouds: A survey.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Graph neural networks in point clouds: A survey

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:49.102727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 67da2eac-18b3-4a8f-ad5e-9348ee54b718 · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet 3d shapenets: A deep representation for volumetric shapes

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:49.088256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a83d3a8f-6bf9-44b8-b75b-dc6c1e8ec34b · outbound

This paper cites Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:48.400534Z

Source-reported events for the cited work

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Observation f78226bf-533c-4a10-8f29-e823e33acb52 · outbound

This paper cites Attention-based point cloud edge sampling.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Attention-based point cloud edge sampling

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:49.073674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5452a421-b2e6-446b-a7a6-15ed2cf884af · outbound

This paper cites an unresolved cited work.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:49.060143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6b8bb54b-0549-48b5-961b-2599589842a2 · outbound

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

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Deep learning for lidar point clouds in autonomous driving: A review

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:49.045734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d5a062c-7fd1-43df-9bc4-9acf72759f94 · outbound

This paper cites Deep learning for image and point cloud fusion in autonomous driving: A review.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Deep learning for image and point cloud fusion in autonomous driving: A review

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:49.031561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 86482678-6708-4abe-9b2b-525ef65b5376 · outbound

This paper cites Lidar point cloud compression, processing and learning for autonomous driving.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Lidar point cloud compression, processing and learning for autonomous driving

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:49.016415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 25c21cef-c30c-49c7-81f6-4bbc6ac32438 · outbound

This paper cites Robotics dexterous grasping: The methods based on point cloud and deep learning.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Robotics dexterous grasping: The methods based on point cloud and deep learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:48.999989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7643bd65-e522-477a-9207-165779005f07 · outbound

This paper cites Trajectory planning and optimization for robotic machining based on measured point cloud.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Trajectory planning and optimization for robotic machining based on measured point cloud

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:48.985479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8c453f21-1112-459d-9d37-b870951145bc · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet ShapeNet: An Information-Rich 3D Model Repository

Reference 18

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Source-reported events for the cited work

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Observation d0d60827-900f-4c87-ab9a-5195b7e1cb0b · outbound

This paper cites Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:48.969809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 71dbb756-31ef-4464-9978-ad93a5fb1c60 · outbound

This paper cites 3d semantic parsing of large-scale indoor spaces.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet 3d semantic parsing of large-scale indoor spaces

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:48.954401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 175f613b-616c-4157-adb0-8a8ea51b5e6c · outbound

This paper cites Sun rgb-d: A rgb-d scene understanding benchmark suite.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Sun rgb-d: A rgb-d scene understanding benchmark suite

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:48.940249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 01743c48-8ceb-447b-9eb9-f431c8c82588 · outbound

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

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet nuscenes: A multimodal dataset for autonomous driving

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:48.450151Z

Source-reported events for the cited work

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Observation fbf3b807-3a79-4817-8be6-659788a59941 · outbound

This paper cites Vision meets robotics: The kitti dataset.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Vision meets robotics: The kitti dataset

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:48.914740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 126effc7-89fe-4fe0-808e-2514e5cba4b1 · outbound

This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet V oxelnet: End-to-end learning for point cloud based 3d object detection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:48.899969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9d01c75a-97a7-4f50-9c1b-24889a4f5dee · outbound

This paper cites Projection-based point convolution for efficient point cloud segmentation.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Projection-based point convolution for efficient point cloud segmentation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:48.885316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2f53e43b-b709-4ea4-b11e-63ae5ab7a2fa · outbound

This paper cites Semantic segmentation of 3d lidar data using deep learning: a review of projection-based methods.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Semantic segmentation of 3d lidar data using deep learning: a review of projection-based methods

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:48.871310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b14b72fb-df33-4bc4-8d2d-edd8f3d0b08c · outbound

This paper cites A fast and efficient projection-based approach for surface reconstruction.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet A fast and efficient projection-based approach for surface reconstruction

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:48.856877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 495df9a1-6f34-4703-866a-a467cc4365ac · outbound

This paper cites Back- propagation applied to handwritten zip code recognition.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Back- propagation applied to handwritten zip code recognition

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:48.842743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2441e1e-b06e-4746-a084-5a027f252a4f · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:48.480708Z

Source-reported events for the cited work

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Observation 2549f984-30cc-4a05-9830-336aa2b9719f · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:48.819123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation da6fc4ef-85f2-452d-855a-c627b4cc2265 · outbound

This paper cites Dynamic graph cnn for learning on point clouds.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Dynamic graph cnn for learning on point clouds

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:48.804992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 17adac53-c9d2-4b69-ae61-bbe5189ff69d · outbound

This paper cites Kpconv: Flexible and deformable convolution for point clouds.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Kpconv: Flexible and deformable convolution for point clouds

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:48.790942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4ed95b76-f470-49fa-8c21-9a79c8bd3e70 · outbound

This paper cites Point transformer.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Point transformer

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:48.776124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6dcea78c-27f1-4914-9be6-820522fb9734 · outbound

This paper cites Point transformer v2: Grouped vector attention and partition-based pooling.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Point transformer v2: Grouped vector attention and partition-based pooling

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:48.761392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 62ee0c84-0875-43d7-958f-b2adb7af29c5 · outbound

This paper cites Point transformer v3: Simpler faster stronger.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Point transformer v3: Simpler faster stronger

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:48.745548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b3b4004b-652d-4412-9a8b-ebc2ff2b2930 · outbound

This paper cites Pct: Point cloud transformer.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Pct: Point cloud transformer

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:48.731276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 62f85dda-1ba7-4af6-9d0d-106e475a0d33 · outbound

This paper cites Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:48.513954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d3a5fac-f9ef-452e-988c-5ad3ea74992f · outbound

This paper cites Point-GN: A Non-Parametric Network Using Gaussian Positional Encoding for Point Cloud Classification.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Point-GN: A Non-Parametric Network Using Gaussian Positional Encoding for Point Cloud Classification

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:33:48.574721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation caa89582-f754-4898-a2e3-a3a25d086271 · outbound

This paper cites Point-ln: A lightweight framework for efficient point cloud classification using non-parametric positional encoding.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Point-ln: A lightweight framework for efficient point cloud classification using non-parametric positional encoding

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:48.717537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 06807e13-3b76-4939-8ab5-8f706a5f2c58 · outbound

This paper cites Point-planenet: Plane kernel based con- volutional neural network for point clouds analysis.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Point-planenet: Plane kernel based con- volutional neural network for point clouds analysis

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:48.703040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d50b0cb4-0f9c-4111-892e-b20a25bab557 · outbound

This paper cites Walk in the cloud: Learning curves for point clouds shape analysis.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Walk in the cloud: Learning curves for point clouds shape analysis

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:48.687367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 1c6baac9-49bb-486f-a330-172972653903 · inbound

Synthetic LiDAR Data Generation and Deterministic Downsampling for Point Cloud Classification on the Edge cites this paper.

Synthetic LiDAR Data Generation and Deterministic Downsampling for Point Cloud Classification on the Edge Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T14:52:30.822787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.