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Paper Citation Record · LEDGER

Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data

As of 22 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.

pith.paper-citation-record.v1
1908.04616 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:40:15.329526Z

measured 49 of 49 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

49 of 49 outbound references displayed

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  • unresolved7
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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

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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

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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

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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

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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

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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

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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

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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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

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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

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Source-reported events for the cited work

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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

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Observation f2731a8e-7a4d-4be0-8f4f-04e3aad3ea3d · outbound

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Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Unresolved cited work

Reference 14

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Observation ddfce301-a1ed-4d9d-9090-bd84394a3226 · outbound

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Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Unresolved cited work

Reference 15

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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

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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

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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

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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

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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

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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

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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

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

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Observation 90b8b36b-ec35-4c7f-b482-afab57bfb800 · outbound

This paper cites Lempitsky.

Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Lempitsky

Reference 23

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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

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

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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

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Source-reported events for the cited work

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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

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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

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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.

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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

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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.

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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

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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.

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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

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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.

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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

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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.

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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

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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.

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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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:40:15.253221Z digest=sha256:44c4b32ec2afe2e729d86011b409b8e9138f68d4405227187fd4d2123e2e6e01

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:40:15.258054Z digest=sha256:0c0a9b6a8c6aa1d227f4ac981d3b01eb8476275f82cb96af09ae767be1136fca

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.

source=pdf_text observed=2026-08-14T13:40:15.262428Z digest=sha256:8b97b56671dd10e036ba31cb7415b06b87edc4ab36c341493b980c1aaa14e26e

Observation 8c5999ee-17c8-47f3-a306-3628f9b80f3e · outbound

This paper cites Singh, J.

Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data 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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:40:15.267459Z digest=sha256:902f3957eab0718147165fc7e233d8ba2cc0e94b36b7782acee7418267629822

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:40:15.272315Z digest=sha256:5a757b54c362ae98b01b4c4f91a0122b4c1e4feef4f757c68780e36e90e031c3

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:40:15.277082Z digest=sha256:d85c00d395bbcae55cf2110927b82a6dd928d860cbdb11a5944aeeb8a1fe82be

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:40:15.282387Z digest=sha256:f736b6afe7d549dde8a5e218a9f5824c84d124b365690483a8cc7e2470f52cd8

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:40:15.287272Z digest=sha256:886b6654056bce8d96fa62a0b31d915972e223c3e8072432c16a1f3acb65bfc8

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:40:15.291844Z digest=sha256:c5ba0c488752c61929e092a5987203f374469e6e9c4ae2136d3249405d0aa486

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.

source=pdf_text observed=2026-08-14T13:40:15.296761Z digest=sha256:9bf85cfc4fd9a12b25305373cc878409e6ae28601b3d9334c093402e693318dc

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:40:15.301835Z digest=sha256:38330ff676852b62d414cf147f2a635bb3322e7c3e1d27d1bbc3897c98a4b39f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:40:15.306891Z digest=sha256:60d8c182bdd3b7bceb4ee3e53cee197421dce3386829510fd2f4e2003aba2c18

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.

source=pdf_text observed=2026-08-14T13:40:15.311547Z digest=sha256:719816be9f1b2631b4fd0ae727f766c8744485753a6561101e2ce3de184d9215

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:40:15.316200Z digest=sha256:745ada44963f6087efdcf2851c0a6e1049c469daff67b498f1931d44b7586d9e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:40:15.320679Z digest=sha256:95cb7d747a9a84065a7594a2cc3d89aa6ca7f8fada2f7ee1d233dd68aa0c7ecc

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:40:15.324884Z digest=sha256:1e127a19eec4bdead81dc765a48ee68c9a6fba65c712330aa51362f48f45f3b0

Observation 3b597905-ac74-4d93-a8f1-e0467dcd451a · outbound

This paper cites Deep sets.

Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data 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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:40:15.329526Z digest=sha256:f2f2aae802e48f362332e1a6cb94c6b3c49a4a4260e309b18a2362548465fd70

Pith citing papers

No inbound Pith citation observations are available.