Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T15:02:29.580306Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2411.14744.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T15:02:29.580306Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
68 of 68 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation baea57f2-e29f-4aac-b4e6-3b9285664b01 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Maskclr: Attention-guided contrastive learning for robust action representation learning
Reference 1
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Observation 93738aad-904d-4f6e-be0e-0f648a6930e0 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Learning representations and generative models for 3d point clouds
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Observation 552df88a-6957-485f-8354-9aaa8c3b12de · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning An overview of augmented reality
Reference 3
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Observation 1bca8966-b585-4f3b-92f0-c31166da9713 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning BEiT: BERT Pre-Training of Image Transformers
Reference 4
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Observation 271b9934-8e53-453f-bda2-1809859d7b11 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Pointgpt: Auto-regressively generative pre- training from point clouds
Reference 5
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Observation ad33447d-4677-4c73-82c0-376cfbc734b9 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning 3d point cloud processing and learning for autonomous driving: Impacting map cre- ation, localization, and perception
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Observation 79ad3b31-c76d-40b7-9b0f-585da9480d27 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Multi-view 3d object detection network for autonomous driving
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Observation 07db0219-6b67-403b-af58-9ba59cb9a43f · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Pra-net: Point relation-aware network for 3d point cloud analysis
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Observation 2ff5ff91-4bb5-4ff1-bb2f-1da9636da940 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 9
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Observation a5ce1970-c754-45e2-82b0-9f3b6d8701f0 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
Reference 10
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Observation 407ab37b-efcc-4850-bb23-f48aa469b912 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Why does unsupervised pre-training help deep learning? In Proceedings of the thirteenth international con- ference on artificial intelligence and statistics , pages 201–
Reference 11
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Observation be9fb503-9fad-4c05-bdf8-0f6184bd744e · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data
Reference 12
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Observation 4d672c25-1a7c-486e-afdd-7fa45cdee83b · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Point cloud interaction and ma- nipulation in virtual reality
Reference 13
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Observation ed330813-9031-4514-a097-ea5b435e7456 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Generative adversarial networks
Reference 14
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Observation d14cfb5c-4947-4347-863a-4e09a934de8c · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Mvtn: Multi-view transformation network for 3d shape recognition
Reference 15
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Observation 3b3998e8-d8b4-42c8-a0ed-2a2b280c95ca · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model
Reference 16
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Observation c7ed3567-2dd1-4428-a8aa-0b399279857b · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Masked autoencoders are scalable vision learners
Reference 17
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Observation 409ed794-3888-4d72-9094-b41ad1c0a56a · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Atten- tion discriminant sampling for point clouds
Reference 18
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Observation 52fed73b-6848-4b25-92c8-7d521c8ccee3 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Clip2point: Transfer clip to point cloud classifica- tion with image-depth pre-training
Reference 19
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Observation 891c9b6c-7704-4d13-9a83-70f91c754705 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Self-supervised Modal and View Invariant Feature Learning
Reference 20
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Observation 4e497889-cf0e-45b5-a7d3-eb91c5a07d8c · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning So-net: Self- organizing network for point cloud analysis
Reference 21
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Observation 8995eed4-fc78-4f2e-a036-3db849fa5060 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Pointcnn: Convolution on x-transformed points
Reference 22
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Observation 4cf7ce91-4992-4b21-b1f0-f49c3cdf5cec · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning General point model pretrain- ing with autoencoding and autoregressive
Reference 23
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Observation 2c10a092-53d5-423a-8b04-1cd07a0c6541 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Pointmamba: A simple state space model for point cloud analysis
Reference 24
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Observation 724bfbbc-df71-4009-a169-73059417a34c · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Masked dis- crimination for self-supervised learning on point clouds
Reference 25
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Observation 7e157fe1-aed5-44c4-8750-d2e87c4fb250 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy
Reference 26
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Observation bd8bbbb6-7c46-432e-8697-0e52742f2bba · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Deep image translation with an affinity-based change prior for un- supervised multimodal change detection
Reference 27
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Observation 4a1836a8-9e89-47a7-8090-23b3fe5ba22f · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework
Reference 28
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Observation 763ddcc8-90f7-434c-8329-72c51434dae1 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders
Reference 29
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Observation 3b7e714c-4da6-49af-9a7d-dc0e128b9988 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Self-supervised learning of pretext-invariant representations
Reference 30
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Observation cd8a7d5d-3144-4e22-8658-40d13b843386 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning From image collections to point clouds with self-supervised shape and pose networks
Reference 31
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Observation 3b5c2cde-b822-47b0-b29e-6facd05f3efb · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Masked autoencoders for point cloud self-supervised learning
Reference 32
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Observation 54a3fb0a-c889-4ced-9def-cc64ad5bfebe · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Pointnet: Deep learning on point sets for 3d classification and segmentation
Reference 33
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Observation 5a551712-1e2f-453f-ae56-92f25d82190c · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Reference 34
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Observation 0da31cb1-6f0d-4c1e-b504-9fcf36d92628 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Contrast with reconstruct: Contrastive 3d representation learning guided by generative pretraining
Reference 35
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Observation 7b78220e-d998-47e8-ac57-26d484525521 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Shapellm: Universal 3d object understanding for embodied interaction
Reference 36
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Observation 5bc303ed-03af-457c-9633-793c0dba9e61 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Pointnext: Revisiting pointnet++ with improved training and scaling strategies
Reference 37
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Observation 207d52b4-4663-4059-b623-a465854edb5d · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Spatiotempo- ral contrastive video representation learning
Reference 38
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Observation 345cf29e-b129-4ab6-b0a5-f699a11f5079 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Improving language understanding by gener- ative pre-training
Reference 39
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Observation 3427be56-0e2b-43cf-8e06-508d9fed31a4 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Surface representa- tion for point clouds
Reference 40
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Observation 95c965bf-06fd-4060-b008-630f6f064a7c · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud
Reference 41
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Observation b80f86a0-76c7-4ee6-9633-87c60bf0ea00 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Detecting formal thought disorder by deep contextualized word representations
Reference 42
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Observation 196242b6-a3c3-401e-811b-e5b6b5c3f96a · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Self-supervised deep learning on point clouds by reconstructing space
Reference 43
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Observation a27fb856-ee6c-407a-9fa0-14a56b88ff94 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Exploring 3d navigation: combining speed-coupled flying with orbiting
Reference 44
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Observation a4084798-037f-4d0a-a9f4-9d8594038c98 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data
Reference 45
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Observation ad7495c6-c6ef-43b2-b531-4a03efec5a8c · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Unsupervised point cloud pre-training via oc- clusion completion
Reference 46
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Observation d2f491c3-6221-45f9-97f9-c21f382edbd9 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Dynamic graph cnn for learning on point clouds
Reference 47
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Observation 401ba033-b8ec-43ee-ac0f-7720c3f11dd0 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning P2p: Tuning pre-trained image models for point cloud analysis with point-to-pixel prompting
Reference 48
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Observation 6706fcdb-20f7-4a7f-92e2-b3d6e59969e0 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis
Reference 49
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Observation 42770447-8211-4bbf-a029-9ee1a73db0da · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Point transformer v3: Simpler faster stronger
Reference 50
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Observation e4c35407-5f76-46c1-b3c7-a400b21db2b5 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning 3d shapenets: A deep representation for volumetric shapes
Reference 51
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Observation 9e7ead83-494e-4f1d-9e7e-93ea2c9a34bd · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Pointcontrast: Unsupervised pre- training for 3d point cloud understanding
Reference 52
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Observation c7b9612c-8a16-4c73-b3de-a19dfcdf13e4 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding
Reference 53
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Observation 3fd99a41-bfc4-4a1d-b347-ab2b206466f0 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Ulip-2: Towards scalable multimodal pre-training for 3d understanding
Reference 54
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Observation 0022ba92-18df-41de-b3b3-f098cbc82e62 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning A scalable active framework for region annotation in 3d shape collections.ACM Transactions on Graphics (ToG), 35(6):1–12, 2016
Reference 55
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Observation b93b111f-4656-41af-8374-a32db048e2b7 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Seq- gan: Sequence generative adversarial nets with policy gra- dient
Reference 56
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Observation 3710a2b5-8b8f-4b9f-916e-3931aedfa8d1 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Point-bert: Pre-training 3d point cloud transformers with masked point modeling
Reference 57
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Observation b701f068-8c08-45b3-b379-d6363e0a1d7d · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Towards compact 3d representations via point feature enhancement masked au- toencoders
Reference 58
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Observation 7bbaae1d-fecf-420e-9126-b9799228bff6 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Point-m2ae: multi-scale masked autoencoders for hierarchical point cloud pre-training
Reference 59
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Observation 344503da-2ed2-40c9-9c09-a612e68aeadf · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Pointclip: Point cloud understanding by clip
Reference 60
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Observation cf69d5f5-97ae-4548-9df2-53087ab91c15 · outbound
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Reference 61
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Observation d030eed5-aba7-4df7-bc4a-91989fe13600 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Point Cloud Mamba: Point Cloud Learning via State Space Model
Reference 62
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Observation 39e658a0-db9f-410e-96b5-26df7c8b466d · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Self-supervised pretraining of 3d features on any point-cloud
Reference 63
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Observation 93ba131c-0ebc-4b75-accd-918b46c010f8 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Point cloud pre-training with diffusion models
Reference 64
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Observation 6018777d-c94a-4fa7-868d-4559ac5d2b54 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Point- clip v2: Prompting clip and gpt for powerful 3d open-world learning
Reference 65
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Observation aead56e4-fb34-43b6-8ed9-0e4b5d5e8b6f · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning 3d-vista: Pre-trained transformer for 3d vision and text alignment
Reference 66
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Observation 3923ae20-b792-4512-a0cd-c139c170e596 · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Preliminary Transformer-based self-supervised learning
Reference 68
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Observation 4e389784-8766-4040-a5ca-3b53a61f852d · outbound
Point Cloud Understanding via Attention-Driven Contrastive Learning Unresolved cited work
Reference 208
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No inbound Pith citation observations are available.