Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 48 inbound Pith citation observations for arXiv:2007.08501.
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
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:18:35.227428Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-04T20:30:07.174987Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation c219b2d0-4252-4a21-959a-eec04402c477 · inbound
Shap-E: Generating Conditional 3D Implicit Functions Accelerating 3D Deep Learning with PyTorch3D
Reference 51
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d6ac164a-2521-4b2a-b742-eb2077d4dfb9 · inbound
Objaverse-XL: A Universe of 10M+ 3D Objects Accelerating 3D Deep Learning with PyTorch3D
Reference 52
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b2770708-b91a-43c2-ae82-83a7ed23b54a · inbound
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset Accelerating 3D Deep Learning with PyTorch3D
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 00e9c0bd-24fc-42e4-96e9-759de231d17a · inbound
ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis Accelerating 3D Deep Learning with PyTorch3D
Reference 71
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8b000d44-f7ec-4103-bcaa-e176e68ad4bd · inbound
Image-Guided Shape-from-Template Using Mesh Inextensibility Constraints Accelerating 3D Deep Learning with PyTorch3D
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation be029f13-d572-4c60-adab-38a245aa649e · inbound
Outer Contour-driven Ruled Surface Generation for Linear Hot-wire Rough Machining Accelerating 3D Deep Learning with PyTorch3D
Reference 67
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09d607fd-e887-470c-ad2e-da5654378484 · inbound
A Comprehensive Pipeline for Aortic Segmentation and Shape Analysis Accelerating 3D Deep Learning with PyTorch3D
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42d0edc5-5dec-441a-8801-8fdf96c6a5c4 · inbound
RTFF: Random-to-Target Fabric Flattening Policy using Dual-Arm Manipulator Accelerating 3D Deep Learning with PyTorch3D
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8e465ad-95a7-44aa-b5c6-51e73c1d6bea · inbound
NeuralBoneReg: An Instance-Specific Label-Free Point Cloud-Based Method for Multi-Modal Bone Surface Registration Accelerating 3D Deep Learning with PyTorch3D
Reference 85
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 089735d9-2a07-444f-a0ea-7ad150672473 · inbound
NeuralBoneReg: An Instance-Specific Label-Free Point Cloud-Based Method for Multi-Modal Bone Surface Registration Accelerating 3D Deep Learning with PyTorch3D
Reference 85
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05ecef47-2bb6-4705-9c8a-cee6cf281e93 · inbound
TabletopGen: Tabletop Scene Generation and Interactive Simulation for Robotic Manipulation Accelerating 3D Deep Learning with PyTorch3D
Reference 43
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ff4857e-94fb-442f-ba30-9c48aa1ef23f · inbound
MRD: Using Physically Based Differentiable Rendering to Probe Vision Models for 3D Scene Understanding Accelerating 3D Deep Learning with PyTorch3D
Reference 59
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cea0f95f-4e79-452f-9d7c-4e20b410376a · inbound
MorphGS: Morphology-Adaptive Articulated 3D Motion Transfer from Videos Accelerating 3D Deep Learning with PyTorch3D
Reference 36
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15e84582-f66a-4b0a-b3a0-dfc255b2ecac · inbound
UIKA: Fast Universal Head Avatar from Pose-Free Images Accelerating 3D Deep Learning with PyTorch3D
Reference 65
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 43479813-e876-4295-a0ea-89128e40fd7e · inbound
AGILE: Hand-Object Interaction Reconstruction from Video via Agentic Generation Accelerating 3D Deep Learning with PyTorch3D
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 45fee13c-a786-4028-9e2f-a45ce85233f5 · inbound
MAGICIAN: Efficient Long-Term Planning with Imagined Gaussians for Active Mapping Accelerating 3D Deep Learning with PyTorch3D
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0f21447e-4180-479e-b998-1cad1d10f1d9 · inbound
Stepper: Stepwise Immersive Scene Generation with Multiview Panoramas Accelerating 3D Deep Learning with PyTorch3D
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9a5f949c-665f-4a13-bf70-3d5af708c34a · inbound
InverseDraping: Recovering Sewing Patterns from 3D Garment Surfaces via BoxMesh Bridging Accelerating 3D Deep Learning with PyTorch3D
Reference 56
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c765def6-0757-4f41-a5f7-c9ae58f3d575 · inbound
Human Interaction-Aware 3D Reconstruction from a Single Image Accelerating 3D Deep Learning with PyTorch3D
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ba4f6fc9-99b0-46ae-8061-3a9447b648e9 · inbound
Visually-grounded Humanoid Agents Accelerating 3D Deep Learning with PyTorch3D
Reference 77
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0f8fa34d-003a-481b-b2ff-3fa20fc51d5d · inbound
TouchAnything: Diffusion-Guided 3D Reconstruction from Sparse Robot Touches Accelerating 3D Deep Learning with PyTorch3D
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 83999ceb-9572-40e0-9693-ab031100d807 · inbound
HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds Accelerating 3D Deep Learning with PyTorch3D
Reference 53
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0fe02562-e11c-47f8-91de-b80546c25462 · inbound
Geometrically Consistent Multi-View Scene Generation from Freehand Sketches Accelerating 3D Deep Learning with PyTorch3D
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2df06e7f-b937-4879-b3f4-4c83d8f28442 · inbound
Geometrically Consistent Multi-View Scene Generation from Freehand Sketches Accelerating 3D Deep Learning with PyTorch3D
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ab88da1-b37b-40a3-b8c9-ddd4d51097da · inbound
LEXIS: LatEnt ProXimal Interaction Signatures for 3D HOI from an Image Accelerating 3D Deep Learning with PyTorch3D
Reference 63
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 69a86703-bae0-49d7-80f4-4cd5324477c0 · inbound
Multimodal Diffusion to Mutually Enhance Polarized Light and Low Resolution EBSD Data Accelerating 3D Deep Learning with PyTorch3D
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation eaea3bc6-cf11-47ed-933a-d2c266b56fa1 · inbound
Profile-Specific 3DMM Regression from a Single Lateral Face Image Accelerating 3D Deep Learning with PyTorch3D
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a7166b3a-91b6-4616-aa4c-15f9dd3add6b · inbound
Learning a Delighting Prior for Facial Appearance Capture in the Wild Accelerating 3D Deep Learning with PyTorch3D
Reference 72
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7fa48b4c-7d74-4a43-9837-49eb4d9b1d78 · inbound
ObjView-Bench: Rethinking Difficulty and Deployment for Object-Centric View Planning Accelerating 3D Deep Learning with PyTorch3D
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1e4c35cf-e189-4b8e-95d0-2dc77f522db3 · inbound
Human face perception reflects inverse-generative and naturalistic discriminative objectives Accelerating 3D Deep Learning with PyTorch3D
Reference 79
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 76654d2f-eb8e-4796-a5b6-60f5b7846f39 · inbound
Still Camouflage, Moving Illusion: View-Induced Trajectory Manipulation in Autonomous Driving Accelerating 3D Deep Learning with PyTorch3D
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5428ea3f-7848-47cb-a025-8c8f31001dca · inbound
Seed3D 2.0: Advancing High-Fidelity Simulation-Ready 3D Content Generation Accelerating 3D Deep Learning with PyTorch3D
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7f0a0b47-ae3f-4a3d-a8c6-c26cecabc5d9 · inbound
Meschers: Geometry Processing of Impossible Objects Accelerating 3D Deep Learning with PyTorch3D
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a8eef741-38fd-4781-a50b-a63ee9746148 · inbound
A Survey on Deep Learning Architectures for Point Cloud Classification and Segmentation Accelerating 3D Deep Learning with PyTorch3D
Reference 75
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b318753c-27fd-4bc1-83d4-8a4ceb6e56e9 · inbound
A Survey on Deep Learning Architectures for Point Cloud Classification and Segmentation Accelerating 3D Deep Learning with PyTorch3D
Reference 75
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4f3a4f73-287f-4c09-a16d-dfeaf7d64ca4 · inbound
XPR: An Extensible Cross-Platform Point-Based Differentiable Renderer Accelerating 3D Deep Learning with PyTorch3D
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c9793f5c-5e6b-4fb5-8bec-574f23a04e8f · inbound
TextHOI-3D: Text-to-3D Hand-Object Interaction via Discrete Multi-View Generation and Joint Mesh Optimization Accelerating 3D Deep Learning with PyTorch3D
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f5cb1362-8aae-41cd-8c60-317093c690ab · inbound
Variational Test-time Optimization for Diffusion Synchronization Accelerating 3D Deep Learning with PyTorch3D
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fe151fa6-cd2a-4da5-ae72-c8188e541fdf · inbound
Shoot the Honey, Cloak the Player: Towards Zero-Runtime-Overhead Proactive Defense and Detection for Visual Game Cheating Accelerating 3D Deep Learning with PyTorch3D
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1d1fba03-6961-44ed-993a-50fb90bb7483 · inbound
Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation Accelerating 3D Deep Learning with PyTorch3D
Reference 50
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6bfd5b96-689f-4549-8344-af06839e7358 · inbound
Mirror Illusion Art Accelerating 3D Deep Learning with PyTorch3D
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 98e36119-bcc1-468d-9570-76022aa94ad1 · inbound
From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation Accelerating 3D Deep Learning with PyTorch3D
Reference 57
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0bc50de2-a26b-49b0-bbcc-03cad521abd9 · inbound
PhysMirror: Physics-Aware Mirror Object Generation Accelerating 3D Deep Learning with PyTorch3D
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2812fc9d-6aa5-45cc-b235-a8cfccd9e9b4 · inbound
iVISION-2DCD: A Long-Term Change Detection Dataset for Large-Scale Outdoor Construction Monitoring Accelerating 3D Deep Learning with PyTorch3D
Reference 47
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 333dd977-cdb1-4280-8ccf-e7df88924311 · inbound
Enhancing Facial Expression Recognition in Head-Mounted Displays with Synthetic Data Accelerating 3D Deep Learning with PyTorch3D
Reference 42
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15341170-c72e-4b02-b183-933628cc3de3 · inbound
PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Accelerating 3D Deep Learning with PyTorch3D
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ec13f02-229d-4431-a6fa-9f668110eee5 · inbound
AdvSerial: Physical Adversarial Attacks on Infrastructure-mounted Pedestrian Detectors via Semantic Feature Suppression Accelerating 3D Deep Learning with PyTorch3D
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6cc3268-f0e0-4fce-82db-0408c5e94b66 · inbound
Articulated Object Reconstruction from Rest-State Observation Accelerating 3D Deep Learning with PyTorch3D
Reference 40
Source-reported events for the cited work
Unavailable: canonical work link unavailable.