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Paper Citation Record · LEDGER

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling

As of 22 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 2026-08-21T06:32:19.484+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+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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source=pdf_text observed=2026-08-06T19:44:34.181463Z digest=sha256:805d5945b96c6f93ec7a0abe6e113ce562c0fdf33f1a4efcaabd0e0db7c8d42d

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=sha256:926187bd76c4a12f549861b71f1ce96d8faab113173213d1ac14fbb7f9520e20

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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source=pdf_text observed=2026-08-06T19:44:34.468329Z digest=sha256:e4f2544bf8b143b3759a3d78a366228ad2d6256fd722364e4c7563fc09bf1f60

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:34.503402Z digest=sha256:e6b67102dd5a92be31af8560ac2542d7ec28c3671a2237f42ff1163ca09cc6ea

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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source=pdf_text observed=2026-08-06T19:44:34.678457Z digest=sha256:d8facfa5e3dd05ea6b1f7dfafdd939b32070a7a7b7f38c3e7a06c72b2fcc4f52

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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source=pdf_text observed=2026-08-06T19:44:34.745012Z digest=sha256:35bb5d57de204dbbb80eb06ec86fd0b6e06e220cfd6f2326100a96bc3f6e9eeb

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:b26a5dad7138b1b87846392332befaed252974d3c8052cba742d95b1b985143f

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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source=pdf_text observed=2026-08-06T19:44:34.814032Z digest=sha256:d577c26a8ef8f983e8c850f95d9c49374c6fd364db44d59e78647df03dc63364

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:34.851940Z digest=sha256:b5c7857e88db25c217738b197e9ab6f4eb67aa64d29d9bbd66e62901ea8c8c17

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:34.912394Z digest=sha256:e936b519e3ab846445f44e1867f1ffbc67489df7aa4e7a251f1381e3d563e178

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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source=pdf_text observed=2026-08-06T19:44:34.983026Z digest=sha256:0b6c51f607c72aeac12898ca8a7726a92091e497b7450e69d04300ae202cbb19

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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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:35.043588Z digest=sha256:16acb91056e8def8a7d8ce8ca02e2392f66601b698839c402d32a137b921759f

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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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:35.089833Z digest=sha256:4d8d1531a4ea9720a1bcf4f988b471ee7ba747972b58541dd6b4f6fc4a2a6091

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:44:35.165995Z digest=sha256:7f739c0453ee2d9d9ce98032567d0ed92e549a41c8478311375c61d284161eaf

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:35.242437Z digest=sha256:fbb5cfce1a8a983b51fde3c45aa39d436eeb13654e6880fd001fb4fdf01eaccb

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:35.293787Z digest=sha256:9d52aed8e6351294d4ebb83dfa169694b038f0e63b58f25e4d1d047f1afcc890

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:35.385514Z digest=sha256:28fef79510794ec04d344cc0acfc745d41033497a53a6e18b09cba1801651e3a

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:35.427678Z digest=sha256:5c80bb68816dba152b9d604de8f621e22bd4dd6a67b57a1a0b777ef699b3d0b1

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:35.510406Z digest=sha256:2ee7b21bca389be66d191c5549566f4351effec65e2d68f9e1f2fe8311e22f3d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:35.572310Z digest=sha256:13129692b2d2482ec3a7116c1bd6b17e29e98b3f19ca03e6e636844e19a12812

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:35.623533Z digest=sha256:b1899b669e632df81c21c69ea277e48976e2b62b71097db5dc4dbf51e363927e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:35.658652Z digest=sha256:1d1bafca8b00161d62f4d0f8376e8b6aa548efad55bf5d0ba1784b55c87b3071

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:35.732098Z digest=sha256:765d5afb73508accc3e3391079d526480885e57a39810cfbd74879a9fa231508

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:35.796540Z digest=sha256:1dca7a093621f5c23947001b31db4b8d98c5f656b602e525c269b3c6d29b5ea4

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:35.836181Z digest=sha256:df05d927291c15936bb93cc8bdbdfeadda241104d36cedd2ba4b6cf54f8875af

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=sha256:3ac797391ef7df2884f0a12d36e56a83d0d0472361005a111f40aedd9ebe378c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:35.954515Z digest=sha256:f47a3fbcdc0f1dd13f956539c8b0b3f8ec525e1cd678ef853f134e48ee84f0ec

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:35.997077Z digest=sha256:7a85c18bfd163d93d21d9e97fa6ee614a64a396ccd2ed897ce9c0ee84ca7ea72

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:36.047221Z digest=sha256:a261b28def1f9123602e9a4b911af98f0e442b2a77dfb8e0ded22a755d4a263d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:36.146740Z digest=sha256:5b8106ce1e37b91122483f233ee1f03703093be0bac8546254edca5a198861a1

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:36.185005Z digest=sha256:65ba8ce3f90a43cb3a0325dcf1f0722c536d1831e1c639ff9711888b6ebb5c16

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:36.263049Z digest=sha256:24e56884e13b8068667928fce631da2c6f86e0006a7e614668a94e6336f2ae13

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:36.354782Z digest=sha256:c31fc7a2ed0abc7b8987e7598d1a717c8eab52174b23adf7de37405df17e9dca

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:36.405794Z digest=sha256:dfa247adc56a99edd3cd602557fa34d71e0be94c869e40fb22e4fff576350e0b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:36.470362Z digest=sha256:0813b699a8dbb36b3331412c5a19b0784ada0d2dad66d8343fd0ce5b96125112

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:36.544154Z digest=sha256:4b89ab94cbf14ba11eb82df02f23e49ce6a680f8f58ea56d9dfae617a0d270cb

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:36.591841Z digest=sha256:8de3f944996b208587e6563a948a5a73fdf1d789eaeb34b36ce64895190de38c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:36.629572Z digest=sha256:0f6719cc8919ca475f604a82d8d989896a8278aa262b1800dd83ddccac6f9ff2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:36.718857Z digest=sha256:8e588ead66bdd0c7e1f929358aa938af09a8aec0bd18cd1f2a83147c3017b9b1

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:36.760282Z digest=sha256:095db1c953dbaf9bd1757191814bac3b575020965c2bcc97da8e953f54d33fac

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:36.815629Z digest=sha256:9848fe8d3882dd6a1c38a0308dbea5ad7ccbf6d6e7a1d569e5fc77bcb1e642a5

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=sha256:1bf82b3a87f05a7a607c9e4dd41a17e685dcd2b68d6b169a4d4a55c56989daef

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:44:36.937459Z digest=sha256:4dfb1947989f596bcbd51f70eadf5c355c7964b8a03bf25a94a9d7591f916c80

Pith citing papers

No inbound Pith citation observations are available.