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Paper Citation Record · LEDGER

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling

As of 9 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2507.04801.

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

pith.paper-citation-record.v1
2507.04801 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:44:36.937459Z

measured 57 of 57 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

57 of 57 outbound references displayed

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  • unresolved8
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7a92a13f-9f06-48a3-84c4-7be7f83c84d3 · outbound

This paper cites Semi-supervised learning of visual features by non- parametrically predicting view assignments with support samples.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Semi-supervised learning of visual features by non- parametrically predicting view assignments with support samples

Reference 1

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Observation 39d92d05-95b0-43a2-8464-18d680b2ea7e · outbound

This paper cites Masked siamese net- works for label-efficient learning.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Masked siamese net- works for label-efficient learning

Reference 2

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Observation 0d7ff37b-e8c2-4f92-8ae0-abe79a6aa74c · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling BEiT: BERT Pre-Training of Image Transformers

Reference 4

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Observation 8753b785-0691-49e4-94b2-5448c418653d · outbound

This paper cites Unsupervised learn- ing of visual features by contrasting cluster assignments.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Unsupervised learn- ing of visual features by contrasting cluster assignments

Reference 5

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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 770df52e-c06b-4079-83aa-7424d46a00f5 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling ShapeNet: An Information-Rich 3D Model Repository

Reference 6

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Observation d1a271f3-b592-4c29-9fcd-5f455ac1953c · outbound

This paper cites Pointgpt: Auto-regressively generative pre- training from point clouds.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Pointgpt: Auto-regressively generative pre- training from point clouds

Reference 7

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Observation 65b42a6c-c8b1-45e6-8e9f-7fd27936ecc4 · outbound

This paper cites Lightspeed computation of optimal transport.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Lightspeed computation of optimal transport

Reference 8

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Observation 69f21289-7d17-410d-b216-f07c8f89ac55 · outbound

This paper cites Point-mpp: Point cloud self-supervised learning from masked position prediction.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Point-mpp: Point cloud self-supervised learning from masked position prediction

Reference 9

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Observation 5e13664a-845b-41c8-aea5-5cf6b07cb239 · outbound

This paper cites Pos-bert: Point cloud one-stage bert pre-training.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Pos-bert: Point cloud one-stage bert pre-training

Reference 10

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Observation 18675e0b-ef5f-45e6-a2fa-925dad22383a · outbound

This paper cites Human pose as compositional tokens.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Human pose as compositional tokens

Reference 11

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Observation eb29683b-9d57-41bf-84cd-f0820a3599a5 · outbound

This paper cites Obow: Online bag-of-visual-words generation for self-supervised learning.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Obow: Online bag-of-visual-words generation for self-supervised learning

Reference 12

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source=pdf_text observed=2026-08-06T19:44:34.283941Z digest=sha256:36e345c4991c243af87538462f3438d059ce4af4f56ac27b8fdc74eda8dc9ffd

Observation f0e19e31-63d9-4145-b47b-7ae70faa5439 · outbound

This paper cites Weakly supervised segmentation-aided classification of urban scenes from 3d li- dar point clouds.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Weakly supervised segmentation-aided classification of urban scenes from 3d li- dar point clouds

Reference 13

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Observation 94552be8-c333-4dd5-9c14-bcec3ffc4c64 · outbound

This paper cites Momentum contrast for unsupervised visual rep- resentation learning.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Momentum contrast for unsupervised visual rep- resentation learning

Reference 14

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Observation cb767279-57cd-4245-b7fc-51ddff27daff · outbound

This paper cites Masked autoencoders are scalable vision learners.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Masked autoencoders are scalable vision learners

Reference 15

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Observation f7c46f94-b0e1-4a0a-8802-7a4ac1241427 · outbound

This paper cites Masked autoencoders are scalable vision learners.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Masked autoencoders are scalable vision learners

Reference 16

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

source=pdf_text observed=2026-08-06T19:44:34.503402Z digest=sha256:0d8f6860f9eedee328a8e40161458ee59fcf6ece6b5b40673b0a1346880c943e

Observation 5f5f9fd9-65e8-4d33-849b-15601e529600 · outbound

This paper cites 3D-JEPA: A Joint Embedding Predictive Architecture for 3D Self-Supervised Representation Learning.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling 3D-JEPA: A Joint Embedding Predictive Architecture for 3D Self-Supervised Representation Learning

Reference 17

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Observation 753c43ba-94eb-44e9-b5ba-cbf240a0ddbe · outbound

This paper cites Masked autoencoders in 3d point cloud repre- sentation learning.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Masked autoencoders in 3d point cloud repre- sentation learning

Reference 18

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Observation 6070d5ac-a95f-42e6-9c70-5f42a1f2e894 · outbound

This paper cites A Convex Relaxation for Weakly Supervised Classifiers.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling A Convex Relaxation for Weakly Supervised Classifiers

Reference 19

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Observation 17c278e2-d3e4-4d88-8049-81296a7dcd8b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Adam: A Method for Stochastic Optimization

Reference 20

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Observation dce81e97-0d43-4a61-a7ab-7661fb3f26e3 · outbound

This paper cites Stratified trans- former for 3d point cloud segmentation.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Stratified trans- former for 3d point cloud segmentation

Reference 21

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Observation e647a723-a31b-498a-9759-f8466da751f8 · outbound

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

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Large-scale point cloud semantic segmentation with superpoint graphs

Reference 22

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source=pdf_text observed=2026-08-06T19:44:34.783902Z digest=sha256:d91d1c73d6a4a9b7a7bfe060b140f2b96dc0f68c4477b6f5f19f586252f3c9c0

Observation 58d4de32-d7ac-4539-87f1-deadee254fbf · outbound

This paper cites Laptran: Transformer embedding graph laplacian for point cloud part segmentation.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Laptran: Transformer embedding graph laplacian for point cloud part segmentation

Reference 23

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

source=pdf_text observed=2026-08-06T19:44:34.814032Z digest=sha256:c5bd6c36f32fecc7d5c3e6ec5e163be1de1839d46c3d7463009c1f4f16dcf653

Observation ab400f5d-09f8-42ea-9341-9377645dbd80 · outbound

This paper cites Gstran: Joint geometric and semantic co- herence for point cloud segmentation.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Gstran: Joint geometric and semantic co- herence for point cloud segmentation

Reference 24

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

source=pdf_text observed=2026-08-06T19:44:34.851940Z digest=sha256:a894faf9e84cebb3dd920d1dc1d61fea25285f1bf25c2ffa115a456f88ab905e

Observation 82252e1f-2b97-4b3d-b2d9-1487d5c5d640 · outbound

This paper cites Cross-modal and uncertainty-aware agglomeration for open- vocabulary 3d scene understanding.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Cross-modal and uncertainty-aware agglomeration for open- vocabulary 3d scene understanding

Reference 25

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

source=pdf_text observed=2026-08-06T19:44:34.912394Z digest=sha256:a7acc46ce44cd88d15c283d0a9988be860a94118767d622ac0a336d6b659dfba

Observation d2ffaada-1e33-49eb-a4b2-00c31419e73d · outbound

This paper cites Patchmixing masked autoencoders for 3d point cloud self-supervised learning.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Patchmixing masked autoencoders for 3d point cloud self-supervised learning

Reference 26

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

source=pdf_text observed=2026-08-06T19:44:34.983026Z digest=sha256:e82db31ab7fda665dd639776321d051d1f62a836bfd11e6e0d1f9f1fdb1f7d09

Observation 725431fe-9293-4c37-b333-0cfe1dc308b3 · outbound

This paper cites Masked discrimina- tion for self-supervised learning on point clouds.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Masked discrimina- tion for self-supervised learning on point clouds

Reference 27

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raw_fallback, observed 2026-08-06T19:44:41.933780Z

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

source=pdf_text observed=2026-08-06T19:44:35.043588Z digest=sha256:a06f6416234143d21478e4d2dcfe287c5f42501b64296521f969978f4550e0c0

Observation b6ae9db3-f5d4-4191-9f4d-e4122504045e · outbound

This paper cites Pointgame: Geometrically and adap- tively masked autoencoder on point clouds.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Pointgame: Geometrically and adap- tively masked autoencoder on point clouds

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.

source=pdf_text observed=2026-08-06T19:44:35.089833Z digest=sha256:0557e0f69fa19eb37345742bcea3058a99ac5dd78c448487262a19351effad89

Observation f361dd64-5a4e-4b62-af04-0ad50bebcac3 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:44:35.165995Z digest=sha256:e7f72d3d5612102f233792880a5e47364416745cf8879405daaeb70f1a69c732

Observation 64cbf6e5-06a8-45b0-a344-406cee9f89e3 · outbound

This paper cites 3dctn: 3d convolution-transformer network for point cloud classification.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling 3dctn: 3d convolution-transformer network for point cloud classification

Reference 30

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

source=pdf_text observed=2026-08-06T19:44:35.242437Z digest=sha256:ecd321be36dae2d7cb7eb4517ecbe3d9a39afed618ba900e82757c7d342f91c3

Observation 14e8b86a-38a6-4613-8efb-acede187b786 · outbound

This paper cites Mot: Masked opti- mal transport for partial domain adaptation.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Mot: Masked opti- mal transport for partial domain adaptation

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.

source=pdf_text observed=2026-08-06T19:44:35.293787Z digest=sha256:fba458991aa40aed78fc8f79de50c8a948fea737996ea79c8a38a7c75fb29e50

Observation 4a9dab46-f1b4-4523-ba68-7edfe8d5b74c · outbound

This paper cites Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding

Reference 32

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local_arxiv, observed 2026-08-06T19:44:37.492098Z

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

source=pdf_text observed=2026-08-06T19:44:35.385514Z digest=sha256:f1918791a540d138baca4b2abf3c2d3879ed1b0467520ecadd156a56b285dc1b

Observation f24b435f-edf7-4b72-a5ff-ddd6abbe346b · outbound

This paper cites Unsupervised point cloud representation learning by clustering and neural ren- dering.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Unsupervised point cloud representation learning by clustering and neural ren- dering

Reference 33

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raw_fallback, observed 2026-08-06T19:44:41.490477Z

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=2026-08-06T19:44:35.427678Z digest=sha256:3fdeaec88829bb406b123a44e6dff451a774502cd9430a216b5948f3e06af22b

Observation 661cf1af-0092-43de-a215-8a07b5bf781e · outbound

This paper cites Masked autoencoders for point cloud self-supervised learning.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Masked autoencoders for point cloud self-supervised learning

Reference 34

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raw_fallback, observed 2026-08-06T19:44:41.402717Z

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=2026-08-06T19:44:35.510406Z digest=sha256:ee884a40c211b743d11c61d8ec8274cdcc03c99d2387c53d11f81e1e07b82041

Observation 5958f16d-8f21-454e-aa13-986eb3a17e29 · outbound

This paper cites Clusterformer: Cluster-based transformer for 3d object detection in point clouds.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Clusterformer: Cluster-based transformer for 3d object detection in point clouds

Reference 35

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raw_fallback, observed 2026-08-06T19:44:41.269027Z

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=2026-08-06T19:44:35.572310Z digest=sha256:53c123a134dfed8b50cc64e172544e5755b3a1a0833d3fcca2e11dfa9ed461fc

Observation 724f495f-f872-49b8-a868-b09977a7a0bc · outbound

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

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:41.083229Z

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=2026-08-06T19:44:35.623533Z digest=sha256:a29082532a14823dc81b417b6b80f984047bce0a585cade4d166351da820b8ae

Observation ad7550f4-7921-43bc-b1c2-ed3f9f54187a · outbound

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

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:40.860446Z

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=2026-08-06T19:44:35.658652Z digest=sha256:4ffd42ed4cba2589179426a1aeff8da7210b9f4ea359d442dfdb61873978f83d

Observation c0d14c2c-81ef-4d07-9e8e-bb2f7aec1b6b · outbound

This paper cites A conditional denoising diffusion proba- bilistic model for point cloud upsampling.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling A conditional denoising diffusion proba- bilistic model for point cloud upsampling

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:40.618546Z

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=2026-08-06T19:44:35.732098Z digest=sha256:fe1767afcb7cd4d330c86dcc23d3c5cd2e5f224cd4b2fd76c6bc4cb5b80d8eab

Observation 46afc8ec-2130-49b9-b52a-940c38052ddc · outbound

This paper cites An end-to-end robust point cloud semantic segmentation network with single-step conditional diffusion models.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling An end-to-end robust point cloud semantic segmentation network with single-step conditional diffusion models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:40.320377Z

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=2026-08-06T19:44:35.796540Z digest=sha256:7dbbf777b32b7c2eec4e389bb7a60edc57e7e5e1e786887e70e4d4200017f434

Observation 952bff36-8889-430b-a197-1cd8f0aa866d · outbound

This paper cites Zero-shot text-to-image generation.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Zero-shot text-to-image generation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:40.049869Z

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=2026-08-06T19:44:35.836181Z digest=sha256:64300d356867e3e93cc68da123161b88c19dfa2f1017913c9a8c8d23d83f273b

Observation d2964d70-d3d6-4656-b7c9-a71fb8070f73 · outbound

This paper cites Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T19:44:35.881035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:44:35.881035Z digest=sha256:371541cb15dc93427a50ec60f82d0f16ea1c54547ed3eace2d917c797361bcfb

Observation 720a1519-0cbc-489d-be67-1654143a8efd · outbound

This paper cites RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:44:37.355938Z

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=2026-08-06T19:44:35.954515Z digest=sha256:d8e2c951769990e66720927900aa9ae4d4974bcc66be3bde40c64cb58aa15e51

Observation 268bd8fe-9972-41a2-8c21-2eea40ca5daa · outbound

This paper cites Point-msd: Jointly mamba self- supervised self-distilling point cloud representation learning.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Point-msd: Jointly mamba self- supervised self-distilling point cloud representation learning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:39.807388Z

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=2026-08-06T19:44:35.997077Z digest=sha256:fa0edf2159e90ba696aa3911813cd68ffc0fc58c53fb460a60416deb1b4ac28e

Observation 6bd119b5-057b-4109-a429-5421e4361319 · outbound

This paper cites Point-lgmask: Local and global contexts embedding for point cloud pre-training with multi- ratio masking.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Point-lgmask: Local and global contexts embedding for point cloud pre-training with multi- ratio masking

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:39.473026Z

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=2026-08-06T19:44:36.047221Z digest=sha256:890e623f2e90ed2e324f90fa49f1184182566cc02a5aa1392f1d53e4d2dedd12

Observation e92be3ae-2e6c-45a9-93b5-ae85f29692cb · outbound

This paper cites What do single-view 3d reconstruction networks learn? In CVPR, pages 3405–3414, 2019.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling What do single-view 3d reconstruction networks learn? In CVPR, pages 3405–3414, 2019

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:39.183892Z

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=2026-08-06T19:44:36.146740Z digest=sha256:032df8122b7229f110c81c3d433373362ae059e6bb964fee11bf0a1ba76f209a

Observation 55803164-9805-4b7e-834b-9f7bcbc9bbf2 · outbound

This paper cites Neural discrete representation learning.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Neural discrete representation learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:39.021221Z

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=2026-08-06T19:44:36.185005Z digest=sha256:c3d743f29c31c7c8fc97eccaa1e66f3428c4fce573d7f89fac8cfb9bec55c115

Observation bbf73bae-8eb4-4ae7-a41a-914ddb06979f · outbound

This paper cites Attention is all you need.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Attention is all you need

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:38.821965Z

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=2026-08-06T19:44:36.263049Z digest=sha256:8c320c49bc6f861aa3da7fcdd8789218fea84b85b9010c6c4ec6b917bf041115

Observation 921b32c3-5ba9-4074-bcf2-6e9c00766ac1 · outbound

This paper cites Rethinking masked representation learning for 3d point cloud understanding.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Rethinking masked representation learning for 3d point cloud understanding

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:38.557838Z

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=2026-08-06T19:44:36.354782Z digest=sha256:cc91a79996ab2a99bac32d3f6b3b68dc9884fa89a9fb5f7a464c4e037336dc13

Observation cbdafc7d-520c-4568-b174-d40d50a163be · outbound

This paper cites 3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling 3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:44:37.240389Z

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=2026-08-06T19:44:36.405794Z digest=sha256:573f56d49d1e602e9f2fa700d27c0b56d76f920a7bc661aa38288a7f82e8f179

Observation fbcfdae7-e04b-4865-977f-48e7f48ff290 · outbound

This paper cites Pointr: Diverse point cloud completion with geometry-aware transformers.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Pointr: Diverse point cloud completion with geometry-aware transformers

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:38.479495Z

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=2026-08-06T19:44:36.470362Z digest=sha256:624d312c89c9cc41d4d90a34a5e16cfaa2a5af61120fc6d27bb2b5f55fa1ab25

Observation 79614d68-20ad-4430-9423-63311217ebc3 · outbound

This paper cites Pointr: Diverse point cloud completion with geometry-aware transformers.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Pointr: Diverse point cloud completion with geometry-aware transformers

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:38.347956Z

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=2026-08-06T19:44:36.544154Z digest=sha256:5783b4f63e3760cb082408382c6baa7bcebb3453d4f22e57a93503b62a168213

Observation 028a32f3-bbb8-4cb8-9b9f-84ec8b0a0ab5 · outbound

This paper cites Point-BERT: Pre-training 3d point cloud transformers with masked point modeling.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Point-BERT: Pre-training 3d point cloud transformers with masked point modeling

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:38.191471Z

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=2026-08-06T19:44:36.591841Z digest=sha256:7fdc5b6f114913cc8b3f818466f1b22d39323960299730841a94d782c287b4df

Observation 0c2b39ef-0d77-4b36-8487-adda1d8f5aff · outbound

This paper cites Point2vec for self-supervised representa- tion learning on point clouds.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Point2vec for self-supervised representa- tion learning on point clouds

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:38.076670Z

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=2026-08-06T19:44:36.629572Z digest=sha256:58d109dd317e33e68529bba2477cb59caa77affd0cd9a89ee6bee79db15b04e2

Observation 8b50abf8-4a1b-4f60-8609-a03d1651d860 · outbound

This paper cites Towards compact 3d representations via point feature enhancement masked au- toencoders.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Towards compact 3d representations via point feature enhancement masked au- toencoders

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:37.969539Z

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=2026-08-06T19:44:36.718857Z digest=sha256:ca30deed9f115861dee2d374baf3b7cb82d67cdcd1404786badbde1ed0495f9f

Observation 91a2010e-1c95-452d-bcfb-410b27ddf6bb · outbound

This paper cites Point-m2ae: multi-scale masked autoencoders for hierarchical point cloud pre-training.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling Point-m2ae: multi-scale masked autoencoders for hierarchical point cloud pre-training

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:37.846143Z

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=2026-08-06T19:44:36.760282Z digest=sha256:3aa682abfa0834827d5799bdef507a028b3c7ec2fbd54d16fd73ac53aacb32c8

Observation 6f3cd946-3059-41ee-8302-06562da05753 · outbound

This paper cites PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:44:37.113534Z

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=2026-08-06T19:44:36.815629Z digest=sha256:79a8e5f61d7f7e4bfe169559a5a6daa5146386022b91216cfe68ecfb40988949

Observation d73092d8-6dd7-40b0-aab1-4869363bbdd7 · outbound

This paper cites iBOT: Image BERT Pre-Training with Online Tokenizer.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T19:44:36.889264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:44:36.889264Z digest=sha256:b6b4631b069ce30cdf64dfe6c30ec90fd58f1d474f1c086db576bfcb743503d2

Observation 82b30741-1c1b-40c7-a7fe-d1f61165f780 · outbound

This paper cites 3d-oae: Occlusion auto- encoders for self-supervised learning on point clouds.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling 3d-oae: Occlusion auto- encoders for self-supervised learning on point clouds

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:37.722060Z

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=2026-08-06T19:44:36.937459Z digest=sha256:e9ba1fa0b0ac45840b0cc3d0128f7990ebf16de25f4cbe08ac0a41fbe3019243

Pith citing papers

No inbound Pith citation observations are available.