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Paper Citation Record · LEDGER

Face recognition on point cloud with cgan-top for denoising

As of 12 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2506.06864.

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

pith.paper-citation-record.v1
2506.06864 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:50:36.242383Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:50:33.148043Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:50:36.470940Z

Reference resolution

35 of 35 outbound references displayed

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  • verified fuzzy28
  • unresolved5
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 84dc4e06-2cac-484c-9395-3e39310c67b3 · outbound

This paper cites Face recognition on point cloud with cgan-top for denoising.

Face recognition on point cloud with cgan-top for denoising Face recognition on point cloud with cgan-top for denoising

Reference 1

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Observation 44ab138b-0fdc-4efd-8132-8dd64b041444 · outbound

This paper cites Overview of Proposed Method Point clouds are sparse and unstructured [12] (unlike densely structured models such as 2D images), enabling them to rep- resent complex models flexibly.

Face recognition on point cloud with cgan-top for denoising Overview of Proposed Method Point clouds are sparse and unstructured [12] (unlike densely structured models such as 2D images), enabling them to rep- resent complex models flexibly

Reference 2

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Observation 32dfbe0f-15c9-4726-9951-7095747ce769 · outbound

This paper cites an unresolved cited work.

Face recognition on point cloud with cgan-top for denoising Unresolved cited work

Reference 3

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Observation 12fdf5b5-86f1-4a64-8f8f-9acda0ab2e06 · outbound

This paper cites Experimental Settings The proposed method is evaluated on the Bosphorus dataset [19], a commonly used 3D face point cloud dataset.

Face recognition on point cloud with cgan-top for denoising Experimental Settings The proposed method is evaluated on the Bosphorus dataset [19], a commonly used 3D face point cloud dataset

Reference 4

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Observation 82ac617f-a71c-4208-b1f7-50144b36f43a · outbound

This paper cites an unresolved cited work.

Face recognition on point cloud with cgan-top for denoising Unresolved cited work

Reference 5

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Observation 3e848d2f-e47b-4038-bc79-87c0a6ac2857 · outbound

This paper cites Learning from millions of 3D scans for large-scale 3D face recognition,.

Face recognition on point cloud with cgan-top for denoising Learning from millions of 3D scans for large-scale 3D face recognition,

Reference 6

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Source-reported events for the cited work

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Observation 7057bbf6-d16c-446b-a6b6-3823cedc7586 · outbound

This paper cites PointFace: Point set based feature learning for 3D face recognition,.

Face recognition on point cloud with cgan-top for denoising PointFace: Point set based feature learning for 3D face recognition,

Reference 7

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Observation 7729ab57-52f5-4df4-8351-2497edf66b60 · outbound

This paper cites Feature boosting network for 3D pose estima- tion,.

Face recognition on point cloud with cgan-top for denoising Feature boosting network for 3D pose estima- tion,

Reference 8

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Observation 64bc4d46-4d50-4463-aa73-37f309485c1e · outbound

This paper cites Blood vessel segmentation from fundus image by a cascade classification framework,.

Face recognition on point cloud with cgan-top for denoising Blood vessel segmentation from fundus image by a cascade classification framework,

Reference 9

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Observation 66675bd6-3056-4555-bfb7-dc6ee270d4a8 · outbound

This paper cites Face2statistics: user-friendly, low-cost and effective alternative to in-vehicle sensors/monitors for drivers,.

Face recognition on point cloud with cgan-top for denoising Face2statistics: user-friendly, low-cost and effective alternative to in-vehicle sensors/monitors for drivers,

Reference 10

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Observation 678f08b9-49ae-4416-b0fe-3b6f8560c58a · outbound

This paper cites Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features.

Face recognition on point cloud with cgan-top for denoising Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features

Reference 11

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verified exact
local_arxiv, observed 2026-08-07T05:50:36.395375Z

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Observation 2f4e3630-76a7-4f95-bafa-18a0193c1e57 · outbound

This paper cites Shape matching and object recognition using shape contexts,.

Face recognition on point cloud with cgan-top for denoising Shape matching and object recognition using shape contexts,

Reference 12

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Source-reported events for the cited work

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Observation 0bc0f0f6-2621-4d52-8300-f665ff4251ac · outbound

This paper cites 3D ShapeNets: A deep representation for volumetric shapes,.

Face recognition on point cloud with cgan-top for denoising 3D ShapeNets: A deep representation for volumetric shapes,

Reference 13

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Source-reported events for the cited work

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Observation 362c6bda-7a89-438c-83ef-a44b16291d75 · outbound

This paper cites SPNet: Deep 3D ob- ject classification and retrieval using stereographic projection,.

Face recognition on point cloud with cgan-top for denoising SPNet: Deep 3D ob- ject classification and retrieval using stereographic projection,

Reference 14

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Source-reported events for the cited work

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Observation f37d9bdc-6445-4313-bd24-e80b1fca8e70 · outbound

This paper cites VERAM: view-enhanced recurrent attention model for 3D shape classifi- cation,.

Face recognition on point cloud with cgan-top for denoising VERAM: view-enhanced recurrent attention model for 3D shape classifi- cation,

Reference 15

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Source-reported events for the cited work

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Observation a1780174-4646-4302-ab3b-45adc75ec797 · outbound

This paper cites Dynamic Graph CNN for Learning on Point Clouds.

Face recognition on point cloud with cgan-top for denoising Dynamic Graph CNN for Learning on Point Clouds

Reference 16

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Source-reported events for the cited work

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Observation 376475c3-76e5-43f1-9e70-aec5e6f2697f · outbound

This paper cites PointNet: A 3D convolutional neural network for real-time object class recog- nition,.

Face recognition on point cloud with cgan-top for denoising PointNet: A 3D convolutional neural network for real-time object class recog- nition,

Reference 17

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Source-reported events for the cited work

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Observation 52ef20ce-8d47-4061-a600-770de80fd35c · outbound

This paper cites Learning directly from synthetic point clouds for.

Face recognition on point cloud with cgan-top for denoising Learning directly from synthetic point clouds for

Reference 18

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Source-reported events for the cited work

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Observation 29e1cd81-10e2-497a-a5b5-42796a1b7f08 · outbound

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

Face recognition on point cloud with cgan-top for denoising Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 19

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Observation ecc4075d-a5fb-4569-af53-2bc6bbd09b61 · outbound

This paper cites Learning flexibly dis- tributional representation for low-quality 3D face recognition,.

Face recognition on point cloud with cgan-top for denoising Learning flexibly dis- tributional representation for low-quality 3D face recognition,

Reference 20

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Source-reported events for the cited work

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Observation 60a858cf-01e7-4b6e-bed9-b823f43763b8 · outbound

This paper cites Led3D: A lightweight and efficient deep approach to recognizing low- quality 3D faces,.

Face recognition on point cloud with cgan-top for denoising Led3D: A lightweight and efficient deep approach to recognizing low- quality 3D faces,

Reference 21

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Observation 02937f82-dd8e-4d83-a6a4-9f183fdd421a · outbound

This paper cites Patch-based progressive 3D point set upsampling,.

Face recognition on point cloud with cgan-top for denoising Patch-based progressive 3D point set upsampling,

Reference 22

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Source-reported events for the cited work

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Observation 0deec2ab-ecbe-4d38-b28b-3b88a896aff9 · outbound

This paper cites Rain- component-aware capsule-GAN for single image de-raining,.

Face recognition on point cloud with cgan-top for denoising Rain- component-aware capsule-GAN for single image de-raining,

Reference 23

Resolution
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Source-reported events for the cited work

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Observation 308686a2-0a2f-43ec-ba98-87b8522e49be · outbound

This paper cites Bosphorus database for 3D face analysis,.

Face recognition on point cloud with cgan-top for denoising Bosphorus database for 3D face analysis,

Reference 24

Resolution
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Source-reported events for the cited work

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Observation 81879576-a5e4-449c-8917-ab8afc8d4f2d · outbound

This paper cites Noise-resistant local binary pattern with an embedded error-correction mechanism,.

Face recognition on point cloud with cgan-top for denoising Noise-resistant local binary pattern with an embedded error-correction mechanism,

Reference 25

Resolution
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Source-reported events for the cited work

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Observation feedb48b-bde2-4365-a7cc-91d56756822f · outbound

This paper cites Repcd- net: Feature-aware recurrent point cloud denoising network,.

Face recognition on point cloud with cgan-top for denoising Repcd- net: Feature-aware recurrent point cloud denoising network,

Reference 26

Resolution
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Source-reported events for the cited work

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Observation e135abe5-f9ae-45a1-af38-16e1d3506e31 · outbound

This paper cites Three-dimensional point cloud denoising via a gravitational feature function,.

Face recognition on point cloud with cgan-top for denoising Three-dimensional point cloud denoising via a gravitational feature function,

Reference 27

Resolution
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Observation a51860f5-8505-4674-bbf5-6f0e04518711 · outbound

This paper cites Spatial- context-aware deep neural network for multi-class image clas- sification,.

Face recognition on point cloud with cgan-top for denoising Spatial- context-aware deep neural network for multi-class image clas- sification,

Reference 28

Resolution
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Source-reported events for the cited work

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Observation 63c4b564-4b7b-4200-835d-b2126fe5a636 · outbound

This paper cites Attention-based dual- stream vision transformer for radar gait recognition,.

Face recognition on point cloud with cgan-top for denoising Attention-based dual- stream vision transformer for radar gait recognition,

Reference 29

Resolution
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Source-reported events for the cited work

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Observation 5e42eed9-d1d4-4fa3-839d-807aa3a22f72 · outbound

This paper cites Hierarchi- cal convit with attention-based relational reasoner for visual analogical reasoning,.

Face recognition on point cloud with cgan-top for denoising Hierarchi- cal convit with attention-based relational reasoner for visual analogical reasoning,

Reference 30

Resolution
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Source-reported events for the cited work

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Observation 4f8528c0-1e87-46fa-b289-c05779867264 · outbound

This paper cites U-net: Convolu- tional networks for biomedical image segmentation,.

Face recognition on point cloud with cgan-top for denoising U-net: Convolu- tional networks for biomedical image segmentation,

Reference 31

Resolution
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Source-reported events for the cited work

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Observation a1ecca8c-6a9b-402e-8393-3f8a0ce0d748 · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Face recognition on point cloud with cgan-top for denoising Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 32

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Observation f3ec18a4-3a19-4b35-bbbc-301b235d4b90 · outbound

This paper cites Pointcleannet: Learning to denoise and re- move outliers from dense point clouds,.

Face recognition on point cloud with cgan-top for denoising Pointcleannet: Learning to denoise and re- move outliers from dense point clouds,

Reference 33

Resolution
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Source-reported events for the cited work

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Observation 619df46a-293b-4ad3-80ff-58945e296850 · outbound

This paper cites Differentiable manifold reconstruction for point cloud denoising,.

Face recognition on point cloud with cgan-top for denoising Differentiable manifold reconstruction for point cloud denoising,

Reference 34

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raw_fallback, observed 2026-08-07T05:50:36.786405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:50:36.199332Z digest=sha256:d75ce7adae068bbe51a5ee2b8a7a841e365258b29d9d94cacbb5bdd0d1a3dae8

Observation b8835205-a03a-4d00-b881-5b44fc2692f9 · outbound

This paper cites Score-based point cloud denoising,.

Face recognition on point cloud with cgan-top for denoising Score-based point cloud denoising,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:36.660727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:50:36.242383Z digest=sha256:d0699a3015b653fe6a1529d4b78ef8d562e87991a09433408cfd29d0b4d9bb9f

Pith citing papers

Observation 84dc4e06-2cac-484c-9395-3e39310c67b3 · inbound

Face recognition on point cloud with cgan-top for denoising cites this paper.

Face recognition on point cloud with cgan-top for denoising Face recognition on point cloud with cgan-top for denoising

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:50:36.535544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:50:33.148043Z digest=sha256:a4e3012ef68875aaff389b0b3952d470e8028088222a1cdeddaf194af1770f72