Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:40:15.329526Z
Paper Citation Record · LEDGER
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
As of 15 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:1908.04616.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
49 of 49 outbound references displayed
- verified exact1
- verified fuzzy41
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 75501bae-275f-4cea-aabf-0f9d9fc7e289 · outbound
This paper cites Zamir, Helen Jiang, Ioannis Brilakis, Martin Fischer, and Silvio Savarese.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Zamir, Helen Jiang, Ioannis Brilakis, Martin Fischer, and Silvio Savarese
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:16.121524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ca83fac9-8f22-4688-b8f1-cbe54a7d7502 · outbound
This paper cites 3dmfv: Three-dimensional point cloud classification in real- time using convolutional neural networks.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data 3dmfv: Three-dimensional point cloud classification in real- time using convolutional neural networks
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:16.106910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 832107fb-3d60-471c-a8ae-d9710429c683 · outbound
This paper cites Learning to drive from simulation without real world labels.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Learning to drive from simulation without real world labels
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:16.091550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 323a341a-94e6-4646-89e3-b21f690a18a2 · outbound
This paper cites Iqbal, and Eckehard Steinbach.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Iqbal, and Eckehard Steinbach
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:16.076355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2cd40bc3-c1bb-43b7-a26e-ce91bc33540c · outbound
This paper cites Yale-cmu-berkeley dataset for robotic manipulation research.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Yale-cmu-berkeley dataset for robotic manipulation research
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:16.060793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 970bceb7-9f5f-49f2-a551-096ef9328b12 · outbound
This paper cites Mitigation of effects of occlusion on object recognition with deep neural networks through low-level image completion.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Mitigation of effects of occlusion on object recognition with deep neural networks through low-level image completion
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:16.045308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation baefc5e7-1861-46df-a3fe-70b514a48877 · outbound
This paper cites ShapeNet: An Information-Rich 3D Model Repository.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data ShapeNet: An Information-Rich 3D Model Repository
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:40:15.100686Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e5616c6-8a56-452e-a93b-9acf82d6a252 · outbound
This paper cites A Large Dataset of Object Scans.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data A Large Dataset of Object Scans
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:40:15.105641Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17396bef-21ef-4b1d-8f85-e1c1216274ef · outbound
This paper cites Scannet: Richly- annotated 3d reconstructions of indoor scenes.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Scannet: Richly- annotated 3d reconstructions of indoor scenes
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:16.030165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2826f5f6-7b1e-425b-9080-b7efa4ce2e3e · outbound
This paper cites Unsupervised feature learning for classi- fication of outdoor 3d scans.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Unsupervised feature learning for classi- fication of outdoor 3d scans
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:16.014743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 48d5bcf5-fbaf-4fff-a0a1-0c152a0b68d1 · outbound
This paper cites Dominguez, R.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Dominguez, R
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.999595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation be692162-0a85-4c36-b0c4-1704ec298664 · outbound
This paper cites A study of the effect of noise and occlusion on the accuracy of convolutional neural networks applied to 3d object recogni- tion.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data A study of the effect of noise and occlusion on the accuracy of convolutional neural networks applied to 3d object recogni- tion
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.985067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 90eded6b-0a76-40b4-9cd6-9fe5203c415c · outbound
This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Rich feature hierarchies for accurate object detection and semantic segmentation
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.969499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f2731a8e-7a4d-4be0-8f4f-04e3aad3ea3d · outbound
This paper cites an unresolved cited work.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T13:40:15.954227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ddfce301-a1ed-4d9d-9090-bd84394a3226 · outbound
This paper cites an unresolved cited work.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T13:40:15.938725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 988f366b-191b-4027-9ebf-83041e0a7225 · outbound
This paper cites View inter-prediction GAN: unsupervised repre- sentation learning for 3d shapes by learning global shape memories to support local view predictions.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data View inter-prediction GAN: unsupervised repre- sentation learning for 3d shapes by learning global shape memories to support local view predictions
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.923880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1f2219d2-d43d-4514-b5ac-7ce1a76bb161 · outbound
This paper cites Yˆ2seq2seq: Cross-modal representa- tion learning for 3d shape and text by joint reconstruction and prediction of view and word sequences.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Yˆ2seq2seq: Cross-modal representa- tion learning for 3d shape and text by joint reconstruction and prediction of view and word sequences
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.909774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 08440733-c567-420a-81b0-39d88de99827 · outbound
This paper cites Hermosilla, T.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Hermosilla, T
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.895080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 41293192-9d87-451b-9f74-c134cf5c23fd · outbound
This paper cites Scenenn: A scene meshes dataset with annotations.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Scenenn: A scene meshes dataset with annotations
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.881041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0375873e-e691-4091-bb3c-1a7c8312dd8b · outbound
This paper cites Point- wise convolutional neural networks.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Point- wise convolutional neural networks
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.866291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 792dddff-03ac-4649-bc7f-9c2c3e867aa6 · outbound
This paper cites Phan, Bao Truong, Minh N.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Phan, Bao Truong, Minh N
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.851555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b9c6d2b3-9e9d-4816-9fd8-fbf2dd15c3ca · outbound
This paper cites Rotationnet: Joint object categorization and pose estimation using multiviews from unsupervised viewpoints.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Rotationnet: Joint object categorization and pose estimation using multiviews from unsupervised viewpoints
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.836969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 90b8b36b-ec35-4c7f-b482-afab57bfb800 · outbound
This paper cites Lempitsky.
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.823030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 997edede-b858-4be2-a516-933a7d8889a6 · outbound
This paper cites So-net: Self- organizing network for point cloud analysis.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data So-net: Self- organizing network for point cloud analysis
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.808166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cc6ae0c3-bab8-4e9e-8bcd-2d35aaa54947 · outbound
This paper cites Pointcnn: Convolution on x-transformed points.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Pointcnn: Convolution on x-transformed points
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.793333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7f6ebe9a-6e5e-465b-a8b7-f27306220541 · outbound
This paper cites Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T13:40:15.392751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 403ff032-68f9-4d92-8c3a-40e69898c0ab · outbound
This paper cites Maturana and S.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Maturana and S
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.776385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b65b5293-cb82-4103-9106-1c64caa0e239 · outbound
This paper cites A robust 3d-2d interactive tool for scene segmentation and annotation.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data A robust 3d-2d interactive tool for scene segmentation and annotation
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.761388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3849c212-be5e-4e09-95b1-47a657c6218a · outbound
This paper cites Ninh, Tu-Khiem Le, Anh-Vu Dao, Vinh-Tiep Nguyen, Minh N.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Ninh, Tu-Khiem Le, Anh-Vu Dao, Vinh-Tiep Nguyen, Minh N
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.744920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a35bfdec-5bee-443d-a77b-30910940e4ef · outbound
This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Pointnet: Deep learning on point sets for 3d classification and segmentation
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.728943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 492f6e3a-387f-4b03-8504-63f40e3a8c28 · outbound
This paper cites Qi, Hao Su, Matthias Niessner, Angela Dai, Mengyuan Yan, and Leonidas J.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Qi, Hao Su, Matthias Niessner, Angela Dai, Mengyuan Yan, and Leonidas J
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.713726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cc2b0df9-a60a-4766-881d-378253833f9b · outbound
This paper cites Point- net++: Deep hierarchical feature learning on point sets in a metric space.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Point- net++: Deep hierarchical feature learning on point sets in a metric space
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.698531Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7708dbe3-a268-4441-aaf2-35055c66677c · outbound
This paper cites Mining point cloud local structures by kernel correlation and graph pooling.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Mining point cloud local structures by kernel correlation and graph pooling
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.681211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4856a990-eec6-4da3-8c25-722b9b6637ba · outbound
This paper cites Indoor segmentation and support inference from rgbd images.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Indoor segmentation and support inference from rgbd images
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.663351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 76e0a6d5-a5fe-42f9-bf2f-a4f94e780d10 · outbound
This paper cites Dynamic edge- conditioned filters in convolutional neural networks on graphs.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Dynamic edge- conditioned filters in convolutional neural networks on graphs
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:40:15.262428Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c5999ee-17c8-47f3-a306-3628f9b80f3e · outbound
This paper cites Singh, J.
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.628282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5ad3ab11-3c06-4276-a617-c7e4fe19a6b5 · outbound
This paper cites Lichtenberg, and Jianxiong Xiao.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Lichtenberg, and Jianxiong Xiao
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.607282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0544b43e-7632-4145-9ad1-e4506eaa1948 · outbound
This paper cites Deep Sliding Shapes for amodal 3D object detection in RGB-D images.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Deep Sliding Shapes for amodal 3D object detection in RGB-D images
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.589018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 585ccc90-52b7-4d17-93f5-397299f72346 · outbound
This paper cites Learned-Miller.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Learned-Miller
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.572523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 76db737f-803e-49cc-932b-7f0706868a5a · outbound
This paper cites Semantic- paint: Interactive 3d labeling and learning at your fingertips.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Semantic- paint: Interactive 3d labeling and learning at your fingertips
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.557274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3408d51f-57d1-4ea4-addc-ca5e57cc7717 · outbound
This paper cites Local spectral graph convolution for point set feature learning.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Local spectral graph convolution for point set feature learning
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.541870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a081a155-bcca-4bca-b0cb-dda4cd57d898 · outbound
This paper cites Dynamic Graph CNN for Learning on Point Clouds.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Dynamic Graph CNN for Learning on Point Clouds
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:40:15.296761Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45d5381d-96f1-4512-8a91-db0d080d6bb6 · outbound
This paper cites 3d shapenets: A deep representation for volumetric shapes.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data 3d shapenets: A deep representation for volumetric shapes
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.526907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bd144b31-f360-4a03-9026-aad556ab7017 · outbound
This paper cites Spidercnn: Deep learning on point sets with parameterized convolutional filters.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Spidercnn: Deep learning on point sets with parameterized convolutional filters
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.510488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 72e83bae-de22-4918-97f7-4f7cf8ad2a87 · outbound
This paper cites Fold- ingnet: Point cloud auto-encoder via deep grid deformation.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Fold- ingnet: Point cloud auto-encoder via deep grid deformation
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:40:15.311547Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b65f34b6-9e91-419d-bc1a-b8e8eb0ab11c · outbound
This paper cites Spnet: Deep 3d object classification and retrieval using stereographic projection.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Spnet: Deep 3d object classification and retrieval using stereographic projection
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.484872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation efc7475f-0e2d-4778-a848-465850be31c0 · outbound
This paper cites Pvnet: A joint convolutional network of point cloud and multi-view for 3d shape recognition.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Pvnet: A joint convolutional network of point cloud and multi-view for 3d shape recognition
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.469184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cf8ffbcf-637f-4601-bbe7-21ff7ff57998 · outbound
This paper cites Multi-view har- monized bilinear network for 3d object recognition.
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Multi-view har- monized bilinear network for 3d object recognition
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.453663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3b597905-ac74-4d93-a8f1-e0467dcd451a · outbound
This paper cites Deep sets.
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:40:15.438917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.