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Paper Citation Record · LEDGER

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction

As of 9 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2507.23480.

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

pith.paper-citation-record.v1
2507.23480 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:47:41.326661Z

measured 48 of 48 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

48 of 48 outbound references displayed

  • verified exact1
  • verified fuzzy42
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 89e5d51f-4fc9-4a3e-bdeb-40186f178ae5 · outbound

This paper cites Zamir, Helen Jiang, Ioan- nis Brilakis, Martin Fischer, and Silvio Savarese.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Zamir, Helen Jiang, Ioan- nis Brilakis, Martin Fischer, and Silvio Savarese

Reference 1

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Observation 94b5a925-fc74-48db-9e19-0d3bff5b653d · outbound

This paper cites Se- mantickitti: A dataset for semantic scene understanding of lidar sequences.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Se- mantickitti: A dataset for semantic scene understanding of lidar sequences

Reference 2

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Observation ab31a32a-4629-4941-80d4-86bcead9150c · outbound

This paper cites Largekernel3d: Scaling up kernels in 3d sparse cnns.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Largekernel3d: Scaling up kernels in 3d sparse cnns

Reference 3

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Observation 0a0a3bb8-ed63-4a8d-bdfa-160bf1d3948d · outbound

This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction 4d spatio-temporal convnets: Minkowski convolutional neural networks

Reference 4

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Source-reported events for the cited work

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Observation d52156a1-b4e1-45e2-adcb-c1ba7cb6a8a2 · outbound

This paper cites Chang, Manolis Savva, Maciej Hal- ber, Thomas Funkhouser, and Matthias Nießner.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Chang, Manolis Savva, Maciej Hal- ber, Thomas Funkhouser, and Matthias Nießner

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9c865eec-3904-4972-a391-68074a0a25f8 · outbound

This paper cites Pointvector: A vector representation in point cloud analysis.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Pointvector: A vector representation in point cloud analysis

Reference 6

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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.

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Observation 17231cab-dcd2-4b47-b4c3-00b46d42af62 · outbound

This paper cites Embracing Single Stride 3D Object Detector with Sparse Transformer.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Embracing Single Stride 3D Object Detector with Sparse Transformer

Reference 7

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0220abd1-1fa1-4aec-918d-82a496beeed1 · outbound

This paper cites Mesorasi: Architecture support for point cloud analytics via delayed-aggregation.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Mesorasi: Architecture support for point cloud analytics via delayed-aggregation

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 49e65012-9d3b-4cc5-b525-7f40ac85cf02 · outbound

This paper cites Crescent: Taming memory irregularities for accelerating deep point cloud analytics.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Crescent: Taming memory irregularities for accelerating deep point cloud analytics

Reference 9

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Observation 10d467c7-ae22-44bb-bda5-dbc12d94136d · outbound

This paper cites Occuseg: Occupancy-aware 3d instance segmentation.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Occuseg: Occupancy-aware 3d instance segmentation

Reference 10

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Observation db6100b9-1928-48fb-976f-92bf1cd312b5 · outbound

This paper cites Quickfps.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Quickfps

Reference 11

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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.

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Observation 147079a9-ffc9-4c20-ad19-a86284abe43e · outbound

This paper cites an unresolved cited work.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Unresolved cited work

Reference 12

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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.

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Observation 3dc579c3-6cfc-44b3-8bc3-aa4e33065954 · outbound

This paper cites Randla-net: Efficient semantic segmentation of large-scale point clouds.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Randla-net: Efficient semantic segmentation of large-scale point clouds

Reference 13

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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.

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Observation 6235e72f-e573-4f8a-90d1-9ede39145be0 · outbound

This paper cites Lee, and Hongil Yoon.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Lee, and Hongil Yoon

Reference 14

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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.

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Observation 00db41d0-975f-4dcd-87ef-267cf3daf421 · outbound

This paper cites An adjustable farthest point sampling method for approximately-sorted point cloud data.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction An adjustable farthest point sampling method for approximately-sorted point cloud data

Reference 15

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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.

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Observation 437e0a01-b829-4d2e-9b37-c9d376304e9a · outbound

This paper cites A point transformer accelerator with fine-grained pipelines and distribution-aware dynamic fps.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction A point transformer accelerator with fine-grained pipelines and distribution-aware dynamic fps

Reference 16

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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.

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Observation cc90d846-0ab1-431b-be6f-d6b3d0773f18 · outbound

This paper cites Pointmamba: A simple state space model for point cloud analysis.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Pointmamba: A simple state space model for point cloud analysis

Reference 17

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 408901f0-47f3-4bc6-a8e9-93b641f63acb · outbound

This paper cites Meta architecure for point cloud analysis.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Meta architecure for point cloud analysis

Reference 18

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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.

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Observation 39124b57-b507-430b-b382-0a54853645cb · outbound

This paper cites Fusionarch: A fusion-based accelerator for point-based point cloud neural networks.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Fusionarch: A fusion-based accelerator for point-based point cloud neural networks

Reference 19

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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.

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Observation ce335e47-2efc-412f-bf6a-996984666213 · outbound

This paper cites Densepoint: Learning densely contextual representation for efficient point cloud process- ing.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Densepoint: Learning densely contextual representation for efficient point cloud process- ing

Reference 20

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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.

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Observation e733b958-b74f-4750-8a6c-29495791b50b · outbound

This paper cites Flatformer: Flattened window attention for effi- cient point cloud transformer.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Flatformer: Flattened window attention for effi- cient point cloud transformer

Reference 21

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6a0ce02f-46cf-424b-8b89-216337808711 · outbound

This paper cites V oxel transformer for 3d object detection.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction V oxel transformer for 3d object detection

Reference 22

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation dd2efa67-dffa-4385-888a-98f058991633 · outbound

This paper cites Mix3D: Out-of-Context Data Aug- mentation for 3D Scenes.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Mix3D: Out-of-Context Data Aug- mentation for 3D Scenes

Reference 23

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 559f1c3e-fa94-4b74-aa7b-8f4874f092c7 · outbound

This paper cites PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Reference 24

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Source-reported events for the cited work

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Observation d785675e-b222-414c-992c-ded0afcb5e88 · outbound

This paper cites PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 335003c5-9005-412f-92fd-98b65d979791 · outbound

This paper cites Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J

Reference 26

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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.

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Observation 18193f2d-e85d-4b46-9428-b35f49d2f79e · outbound

This paper cites Assanet: An anisotropical separable set abstraction for efficient point cloud representation learn- ing.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Assanet: An anisotropical separable set abstraction for efficient point cloud representation learn- ing

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ba8b8f4c-4a37-435f-a20b-5547745f9463 · outbound

This paper cites Pointnext: Revisiting pointnet++ with improved training and scaling strategies.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Pointnext: Revisiting pointnet++ with improved training and scaling strategies

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 716b2be9-bc95-4629-90c2-40f1665027ee · outbound

This paper cites Imvoxelnet: Image to voxels projection for monocular and multi-view general-purpose 3d object detection.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Imvoxelnet: Image to voxels projection for monocular and multi-view general-purpose 3d object detection

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9f12eea5-e0c3-491c-88bc-c1478681e84d · outbound

This paper cites Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, Franc ¸ois Goulette, and Leonidas J.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, Franc ¸ois Goulette, and Leonidas J

Reference 30

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raw_fallback, observed 2026-08-06T10:47:41.555220Z

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.

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Observation b0ee7080-f5e1-477f-bca9-ca043ed9465d · outbound

This paper cites Sarma, Michael M.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Sarma, Michael M

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation baf3dd4a-2dba-4d8e-b157-558a08f6f869 · outbound

This paper cites Pointconv: Deep convolutional networks on 3d point clouds.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Pointconv: Deep convolutional networks on 3d point clouds

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2165395f-bf63-4792-8c42-53697f91e070 · outbound

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

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Point transformer v2: Grouped vector atten- tion and partition-based pooling

Reference 33

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raw_fallback, observed 2026-08-06T10:47:41.527877Z

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.

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Observation 3629d262-2d16-43af-bf2f-eb53e5a954be · outbound

This paper cites Point transformer v3: Simpler, faster, stronger.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Point transformer v3: Simpler, faster, stronger

Reference 34

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d76aa6fe-c356-4ca3-98fc-9120c3d8c303 · outbound

This paper cites Paconv: Position adaptive convolution with dynamic ker- nel assembling on point clouds.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Paconv: Position adaptive convolution with dynamic ker- nel assembling on point clouds

Reference 35

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verified fuzzy
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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.

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Observation 8eaa5d02-06bd-43c2-9fe7-6690cba7897a · outbound

This paper cites Grid-gcn for fast and scalable point cloud learning, 2020.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Grid-gcn for fast and scalable point cloud learning, 2020

Reference 36

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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.

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Observation 4bf28954-6c6e-4b55-8480-1baca9daafc1 · outbound

This paper cites An efficient accelerator for point-based and voxel-based point cloud neural networks.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction An efficient accelerator for point-based and voxel-based point cloud neural networks

Reference 37

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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.

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Observation cea7ae9c-38f3-4f5f-b16b-5849ffc1b58e · outbound

This paper cites Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation da2ece06-fb9f-46ce-bc77-542e51cdbc02 · outbound

This paper cites Kandemir, and Chita R.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Kandemir, and Chita R

Reference 40

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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.

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Observation cdc0160b-7e3c-496b-9563-45af98947ffc · outbound

This paper cites Efficient sampling and grouping acceleration for point cloud deep learning via sin- gle coordinate comparison.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Efficient sampling and grouping acceleration for point cloud deep learning via sin- gle coordinate comparison

Reference 41

Resolution
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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.

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Observation bf1c7812-2b03-46f1-b3ae-5635a078e017 · outbound

This paper cites Point cloud mamba: Point cloud learning via state space model.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Point cloud mamba: Point cloud learning via state space model

Reference 42

Resolution
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raw_fallback, observed 2026-08-06T10:47:41.463515Z

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.

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Observation b96f0d0a-4fd6-4a03-93f8-d5e8d6cd4ca3 · outbound

This paper cites PointWeb: Enhancing local neighborhood features for point cloud processing.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction PointWeb: Enhancing local neighborhood features for point cloud processing

Reference 43

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-06T10:47:41.309639Z digest=sha256:591a7f5f4ea4a1dad9f08a0031161971c2b7f935695f77cb072aca82b71b7339

Observation 552a1139-844b-4260-aa67-ea0a75935737 · outbound

This paper cites Point transformer.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Point transformer

Reference 44

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-06T10:47:41.312562Z digest=sha256:13ffa1a16f9f97e10d5e5fade95ff6a9afe1c6aee5537464e2bb0c324829745f

Observation 8d9d7a5a-19d7-4f7f-85da-decbe3c64ec6 · outbound

This paper cites Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-06T10:47:41.362310Z

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.

source=pdf_text observed=2026-08-06T10:47:41.315382Z digest=sha256:74d9484f9944d240a19f03750972fedab05b29576905e16522de66548b85cac5

Observation 97cf86f8-c679-4dc0-a31f-6d59b204a0ae · outbound

This paper cites The key difference be- tween original FPS and this operation (Line 3-11) is that the maximum of minimum distance (i.e., max(dists)) must be saved at each iteration.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction The key difference be- tween original FPS and this operation (Line 3-11) is that the maximum of minimum distance (i.e., max(dists)) must be saved at each iteration

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:47:41.435251Z

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.

source=pdf_text observed=2026-08-06T10:47:41.318355Z digest=sha256:4f5cbc5f627df7fe3ba8e5c672cfb8cda570c8f2675220e4a160aa4fcfb6d077

Observation 06e40dbe-6d44-4d03-8d46-d077f9ccaf9e · outbound

This paper cites an unresolved cited work.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:47:41.426031Z

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.

source=pdf_text observed=2026-08-06T10:47:41.321062Z digest=sha256:30ee410cdbbba628fb2b9fb946d9d88788c4b21dd9dfdd314d322c563f6ae9f0

Observation 3ed055e9-625a-43f1-b66d-9a378a1358ee · outbound

This paper cites Sampling consists of three main stages: bitmap update, sampling, and sampling availability check.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction Sampling consists of three main stages: bitmap update, sampling, and sampling availability check

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:47:41.417101Z

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.

source=pdf_text observed=2026-08-06T10:47:41.323794Z digest=sha256:7dedf4a2899b9568175e6d82328d15c0636ae249673be62f6a1a77d6554ba172

Observation 80f25668-0aa1-4c2a-b943-34aa9b5f8675 · outbound

This paper cites For this tran- sition, the FPS distance matrix is initialized with the min- imum distances between the input points and the already sampled point set.

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction For this tran- sition, the FPS distance matrix is initialized with the min- imum distances between the input points and the already sampled point set

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:47:41.407426Z

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.

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Pith citing papers

No inbound Pith citation observations are available.