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Paper Citation Record · LEDGER

Efficient Learning on Point Clouds with Basis Point Sets

As of 18 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:1908.09186.

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

pith.paper-citation-record.v1
1908.09186 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:24:02.722121Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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  • verified fuzzy37
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 10d7829d-4453-4a4b-8ccc-ef4d98463a59 · outbound

This paper cites an unresolved cited work.

Efficient Learning on Point Clouds with Basis Point Sets Unresolved cited work

Reference 1

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Source-reported events for the cited work

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Observation d3e788ed-b080-4414-ad73-e454967b7222 · outbound

This paper cites Faust: Dataset and evaluation for 3d mesh registration.

Efficient Learning on Point Clouds with Basis Point Sets Faust: Dataset and evaluation for 3d mesh registration

Reference 2

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

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Observation 8969ec07-2cae-43e8-b02f-10204ebb9149 · outbound

This paper cites an unresolved cited work.

Efficient Learning on Point Clouds with Basis Point Sets Unresolved cited work

Reference 3

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Observation 378ffdcc-7b60-499c-9f57-499b485171fa · outbound

This paper cites Robust nonrigid registration by convex optimization.

Efficient Learning on Point Clouds with Basis Point Sets Robust nonrigid registration by convex optimization

Reference 4

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Observation 485c41b9-bb35-44e5-ba74-3b04a65bfe8b · outbound

This paper cites Xgboost: A scalable tree boosting system.

Efficient Learning on Point Clouds with Basis Point Sets Xgboost: A scalable tree boosting system

Reference 5

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Source-reported events for the cited work

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

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Observation efa8aaa3-3fe6-483c-bf57-3f91e300c635 · outbound

This paper cites Spherical CNNs.

Efficient Learning on Point Clouds with Basis Point Sets Spherical CNNs

Reference 6

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Source-reported events for the cited work

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Observation af7553db-cfa7-4d4a-ae30-db4e071e36d2 · outbound

This paper cites Sphere packings, lattices and groups , volume 290.

Efficient Learning on Point Clouds with Basis Point Sets Sphere packings, lattices and groups , volume 290

Reference 7

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Observation 095da9b6-ea5e-4d47-bd98-900ac5aa47fb · outbound

This paper cites A volumetric method for building complex models from range images.

Efficient Learning on Point Clouds with Basis Point Sets A volumetric method for building complex models from range images

Reference 8

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Source-reported events for the cited work

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

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Observation dbd7c032-cf26-495b-8935-91b3007d099a · outbound

This paper cites Scan2Mesh: From Unstructured Range Scans to 3D Meshes.

Efficient Learning on Point Clouds with Basis Point Sets Scan2Mesh: From Unstructured Range Scans to 3D Meshes

Reference 9

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Observation 2f6d6132-c61c-4992-a95f-96a2debf94df · outbound

This paper cites Learning so (3) equivariant representations with spherical cnns.

Efficient Learning on Point Clouds with Basis Point Sets Learning so (3) equivariant representations with spherical cnns

Reference 10

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

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Observation 1e701b94-e579-4b15-bf60-02c7bcea5c6d · outbound

This paper cites Gvcnn: Group-view convolutional neural networks for 3d shape recognition.

Efficient Learning on Point Clouds with Basis Point Sets Gvcnn: Group-view convolutional neural networks for 3d shape recognition

Reference 11

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Observation bf930f65-bbf7-477b-a065-8553be9239f8 · outbound

This paper cites Shape Generation using Spatially Partitioned Point Clouds.

Efficient Learning on Point Clouds with Basis Point Sets Shape Generation using Spatially Partitioned Point Clouds

Reference 12

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verified exact
local_arxiv, observed 2026-08-14T11:24:02.828242Z

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

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Observation 79d895b1-53dd-4ccd-a594-53617fa8139a · outbound

This paper cites Extremely randomized trees.

Efficient Learning on Point Clouds with Basis Point Sets Extremely randomized trees

Reference 13

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

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Observation c0288ffa-1a17-4aee-9f3f-34914405fff6 · outbound

This paper cites Submanifold Sparse Convolutional Networks.

Efficient Learning on Point Clouds with Basis Point Sets Submanifold Sparse Convolutional Networks

Reference 14

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Observation 78ff87f2-97b2-441f-9e36-3f71aaa84262 · outbound

This paper cites 3d-coded : 3d correspondences by deep deformation.

Efficient Learning on Point Clouds with Basis Point Sets 3d-coded : 3d correspondences by deep deformation

Reference 15

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

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Observation fe8a4008-f753-4378-a393-aad69f09e886 · outbound

This paper cites A proof of the kepler conjecture.

Efficient Learning on Point Clouds with Basis Point Sets A proof of the kepler conjecture

Reference 16

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

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Observation b154e24e-68ae-4aee-98c8-13e9925786b1 · outbound

This paper cites On decompositional algorithms for uniform sampling from n-spheres and n-balls.

Efficient Learning on Point Clouds with Basis Point Sets On decompositional algorithms for uniform sampling from n-spheres and n-balls

Reference 17

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

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Observation 3031ede8-58cd-464e-ac1b-80cb75922737 · outbound

This paper cites Coregistration: Simultaneous alignment and modeling of articulated 3d shape.

Efficient Learning on Point Clouds with Basis Point Sets Coregistration: Simultaneous alignment and modeling of articulated 3d shape

Reference 18

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

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Observation 9ee5dde7-656d-428a-868b-ce161cff0948 · outbound

This paper cites HexaConv.

Efficient Learning on Point Clouds with Basis Point Sets HexaConv

Reference 19

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Observation 9c9bcbb3-79e7-4409-8a9c-6f2f77a632c6 · outbound

This paper cites Densely connected convolutional networks.

Efficient Learning on Point Clouds with Basis Point Sets Densely connected convolutional networks

Reference 20

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

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Observation b46c6bdc-e026-419b-9011-a6e93d883570 · outbound

This paper cites Learning to Remember Rare Events.

Efficient Learning on Point Clouds with Basis Point Sets Learning to Remember Rare Events

Reference 21

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Observation f37eb456-7ae2-4e3a-b1b1-cd7d25db9f0c · outbound

This paper cites Rotationnet: Joint object categorization and pose estimation using multiviews from unsupervised viewpoints.

Efficient Learning on Point Clouds with Basis Point Sets Rotationnet: Joint object categorization and pose estimation using multiviews from unsupervised viewpoints

Reference 22

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Observation dd29020c-aa66-465e-8698-930b890e91d7 · outbound

This paper cites Escape from cells: Deep kd-networks for the recognition of 3d point cloud models.

Efficient Learning on Point Clouds with Basis Point Sets Escape from cells: Deep kd-networks for the recognition of 3d point cloud models

Reference 23

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

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Observation c87fb5a1-c26f-46bc-a7e2-86399c54c742 · outbound

This paper cites Large-scale point cloud semantic segmentation with superpoint graphs.

Efficient Learning on Point Clouds with Basis Point Sets Large-scale point cloud semantic segmentation with superpoint graphs

Reference 24

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

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Observation a53d966e-f1c9-4348-be9e-058fe5a8ca4e · outbound

This paper cites So-net: Self-organizing network for point cloud analysis.

Efficient Learning on Point Clouds with Basis Point Sets So-net: Self-organizing network for point cloud analysis

Reference 25

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Observation e1acbdf1-65c7-4f65-9593-21810681d2e3 · outbound

This paper cites Deep Functional Maps: Structured Prediction for Dense Shape Correspondence.

Efficient Learning on Point Clouds with Basis Point Sets Deep Functional Maps: Structured Prediction for Dense Shape Correspondence

Reference 26

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Observation 03a3e3b7-1307-4eab-bcf9-0c476ce38e66 · outbound

This paper cites Smpl: A skinned multi-person linear model.

Efficient Learning on Point Clouds with Basis Point Sets Smpl: A skinned multi-person linear model

Reference 27

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

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Observation 88c14b44-4f26-4a7b-87de-ad9bbbfa4063 · outbound

This paper cites FARM: Functional Automatic Registration Method for 3D Human Bodies.

Efficient Learning on Point Clouds with Basis Point Sets FARM: Functional Automatic Registration Method for 3D Human Bodies

Reference 28

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verified exact
local_arxiv, observed 2026-08-14T11:24:02.769161Z

Source-reported events for the cited work

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

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Observation d4085e91-3943-4105-89cc-c712b23778e8 · outbound

This paper cites Voxnet: A 3d convolutional neural network for real-time object recognition.

Efficient Learning on Point Clouds with Basis Point Sets Voxnet: A 3d convolutional neural network for real-time object recognition

Reference 29

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raw_fallback, observed 2026-08-14T11:24:03.061055Z

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

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Observation bc63dc6f-3e0d-4d50-8192-97806649c265 · outbound

This paper cites V2v-posenet: Voxel-to-voxel prediction network for accurate 3d hand and human pose estimation from a single depth map.

Efficient Learning on Point Clouds with Basis Point Sets V2v-posenet: Voxel-to-voxel prediction network for accurate 3d hand and human pose estimation from a single depth map

Reference 30

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raw_fallback, observed 2026-08-14T11:24:03.051704Z

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

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Observation 91d2ff24-b4ba-436b-aeb7-e71e17c1d666 · outbound

This paper cites Kinectfusion: Real-time dense surface mapping and tracking.

Efficient Learning on Point Clouds with Basis Point Sets Kinectfusion: Real-time dense surface mapping and tracking

Reference 31

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raw_fallback, observed 2026-08-14T11:24:03.041889Z

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

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Observation cafd95dd-a86b-4aee-99db-fb875cd47488 · outbound

This paper cites Five balltree construction algorithms.

Efficient Learning on Point Clouds with Basis Point Sets Five balltree construction algorithms

Reference 32

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raw_fallback, observed 2026-08-14T11:24:03.031711Z

Source-reported events for the cited work

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

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Observation bc98e073-6ec9-4636-ad2d-509da33dc24e · outbound

This paper cites DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation.

Efficient Learning on Point Clouds with Basis Point Sets DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation

Reference 33

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Unavailable: canonical work link unavailable.

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Observation b2a94770-d165-4f1d-93d1-65882aa4327a · outbound

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

Efficient Learning on Point Clouds with Basis Point Sets Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 34

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raw_fallback, observed 2026-08-14T11:24:03.022083Z

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

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Observation a3bdf1e4-9b6c-43ee-832d-badeaecc46ca · outbound

This paper cites Volumetric and multi-view cnns for object classification on 3d data.

Efficient Learning on Point Clouds with Basis Point Sets Volumetric and multi-view cnns for object classification on 3d data

Reference 35

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raw_fallback, observed 2026-08-14T11:24:03.012028Z

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

source=arxiv_source observed=2026-08-14T11:24:02.669421Z digest=sha256:e99987dba4e8103273d55c40ade935841f0a034affa50abd01488678b96bda88

Observation 84d9c9a2-8b8d-443e-9c19-b7fb1b44409d · outbound

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

Efficient Learning on Point Clouds with Basis Point Sets Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 36

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raw_fallback, observed 2026-08-14T11:24:03.002018Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T11:24:02.673033Z digest=sha256:ff85e9b57823ec83b1c2aef2d67c529ca454a7c5a6db54ea795101b722596226

Observation 5ba88124-cbac-4d10-9da2-c612a04f864c · outbound

This paper cites Octnet: Learning deep 3d representations at high resolutions.

Efficient Learning on Point Clouds with Basis Point Sets Octnet: Learning deep 3d representations at high resolutions

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:02.991888Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T11:24:02.676586Z digest=sha256:8c60df0a29ddada1beef2e4b879fbd708c6b5d4aaa8df1a710086ac57ce42de1

Observation 4312b857-1743-4208-975d-74631a41f2f3 · outbound

This paper cites Octnetfusion: Learning depth fusion from data.

Efficient Learning on Point Clouds with Basis Point Sets Octnetfusion: Learning depth fusion from data

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:02.982151Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T11:24:02.679989Z digest=sha256:81a74e3d7aec4a5254404a8afd5ae905689971a0e86fcc144fd1c68aaa8737ed

Observation ca96fde0-702e-4503-a42b-456987a27020 · outbound

This paper cites Robinette, Sherri Blackwell, Hein Daanen, Mark Boehmer, Scott Fleming, Tina Brill, D\ avid Hoeferlin, and Dennis Burnsides.

Efficient Learning on Point Clouds with Basis Point Sets Robinette, Sherri Blackwell, Hein Daanen, Mark Boehmer, Scott Fleming, Tina Brill, D\ avid Hoeferlin, and Dennis Burnsides

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:02.972470Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T11:24:02.684254Z digest=sha256:0d420d0c9758df0cb02b0d001bb4877e5a13b796707c219a37b4760a5579a225

Observation 7dbd2740-87ab-481b-b03e-afb0a33f760d · outbound

This paper cites Learning 3d shapes as multi-layered height-maps using 2d convolutional networks.

Efficient Learning on Point Clouds with Basis Point Sets Learning 3d shapes as multi-layered height-maps using 2d convolutional networks

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:02.961643Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T11:24:02.688004Z digest=sha256:a0faa1775f0f3752fa2b5d77393ea407e3ed9f4a9af9214978063d07a6394ec2

Observation 7c5936e2-8b2e-425c-bf9d-8d6d80b0c9fe · outbound

This paper cites Mining point cloud local structures by kernel correlation and graph pooling.

Efficient Learning on Point Clouds with Basis Point Sets Mining point cloud local structures by kernel correlation and graph pooling

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:02.950875Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T11:24:02.691473Z digest=sha256:76e693b095bba7b43f5388a93b081ef8ad6ca9cef0f22f7be90d7bec023310be

Observation fa307ab5-3d28-422d-9744-c921b0629f2f · outbound

This paper cites Semantic scene completion from a single depth image.

Efficient Learning on Point Clouds with Basis Point Sets Semantic scene completion from a single depth image

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:02.941158Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T11:24:02.694926Z digest=sha256:e7b1995b19315140f145e002b083a3e729d43c7d1a6c4bd0ebd67840c75f5289

Observation 3d7138d0-32fd-4e8d-9f80-5dc1a3ee5a91 · outbound

This paper cites Multi-view convolutional neural networks for 3d shape recognition.

Efficient Learning on Point Clouds with Basis Point Sets Multi-view convolutional neural networks for 3d shape recognition

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:02.931331Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T11:24:02.698357Z digest=sha256:beb67be4366b00ea67806e7f039b2d45fab91db035099e41805bebdd730f2c17

Observation d1df8bf2-6817-4752-b5b9-c77c1aad37d7 · outbound

This paper cites Tangent convolutions for dense prediction in 3d.

Efficient Learning on Point Clouds with Basis Point Sets Tangent convolutions for dense prediction in 3d

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:02.921004Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T11:24:02.701795Z digest=sha256:7bc254e0184ffafc1a629ca5fc8971901729b7c3c99d40cb19fa8811b3394b1e

Observation 9b267d9a-fbc0-4c20-99f3-3175deedcf0e · outbound

This paper cites O-cnn: Octree-based convolutional neural networks for 3d shape analysis.

Efficient Learning on Point Clouds with Basis Point Sets O-cnn: Octree-based convolutional neural networks for 3d shape analysis

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:02.909773Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T11:24:02.705217Z digest=sha256:56824de91f0aba27d853c82ca10b7270feae0cc200c631dfb102e79aefbf5350

Observation af00668b-68c3-4fdf-9c8b-85af96a835a1 · outbound

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

Efficient Learning on Point Clouds with Basis Point Sets 3d shapenets: A deep representation for volumetric shapes

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:02.899222Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T11:24:02.708523Z digest=sha256:b4fdc4dd8f10b49f4d9423b2462fa8862d791eec0653d3cf42d59434312a6462

Observation 13ae885c-9c5d-43dd-8c29-b985110aeb06 · outbound

This paper cites Deep sets.

Efficient Learning on Point Clouds with Basis Point Sets Deep sets

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:02.886671Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T11:24:02.711727Z digest=sha256:aa3d0a6a7a4ddd0b498b61fe5a83a6e8a89ab7ca31f4513c31e521d092069132

Observation 110a141d-f966-434f-8297-5ba08c970f6e · outbound

This paper cites 3dmatch: Learning local geometric descriptors from rgb-d reconstructions.

Efficient Learning on Point Clouds with Basis Point Sets 3dmatch: Learning local geometric descriptors from rgb-d reconstructions

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:02.875570Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T11:24:02.714973Z digest=sha256:3e10f88d7071487fbce44efb6dc4a62fcd0842d69f042349ba7ed7dd08dd6b60

Observation cb98de27-4b11-442b-a8d9-c8110ab1c3e0 · outbound

This paper cites The stitched puppet: A graphical model of 3d human shape and pose.

Efficient Learning on Point Clouds with Basis Point Sets The stitched puppet: A graphical model of 3d human shape and pose

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:02.864813Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T11:24:02.718301Z digest=sha256:6f97348925e38512ae8face54d6cdac354f5dbb68b4e4863a6703edc8504eb16

Observation dba01572-2f00-4971-8e22-886021a0d894 · outbound

This paper cites write newline.

Efficient Learning on Point Clouds with Basis Point Sets write newline

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-14T11:24:02.722121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:24:02.722121Z digest=sha256:134d84f687b48212cf99b2811e1dba48d3639fd77dc230914914811eea428544

Pith citing papers

No inbound Pith citation observations are available.