Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations 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 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

41 of 41 outbound references displayed

verified exact1
verified fuzzy33
unresolved7
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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Source-reported events for the cited work

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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

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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

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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

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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 2026-08-09T06:31:02.800959+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

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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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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

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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

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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

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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

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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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

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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 2026-08-09T06:31:02.800959+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

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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

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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

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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

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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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

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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

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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 2026-08-09T06:31:02.800959+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

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Source-reported events for the cited work

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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

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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.