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Paper Citation Record · LEDGER

Accelerating 3D Deep Learning with PyTorch3D

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.

pith.paper-citation-record.v1
2007.08501 v1

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measured 0 of 0 reference resolution

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measured 48 of 48 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 48 of 48 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:18:35.227428Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T20:30:07.174987Z

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Outbound references

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Pith citing papers

Observation c219b2d0-4252-4a21-959a-eec04402c477 · inbound

Shap-E: Generating Conditional 3D Implicit Functions cites this paper.

Shap-E: Generating Conditional 3D Implicit Functions Accelerating 3D Deep Learning with PyTorch3D

Reference 51

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation d6ac164a-2521-4b2a-b742-eb2077d4dfb9 · inbound

Objaverse-XL: A Universe of 10M+ 3D Objects cites this paper.

Objaverse-XL: A Universe of 10M+ 3D Objects Accelerating 3D Deep Learning with PyTorch3D

Reference 52

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Observation b2770708-b91a-43c2-ae82-83a7ed23b54a · inbound

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset cites this paper.

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset Accelerating 3D Deep Learning with PyTorch3D

Reference 44

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Observation 00e9c0bd-24fc-42e4-96e9-759de231d17a · inbound

ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis cites this paper.

ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis Accelerating 3D Deep Learning with PyTorch3D

Reference 71

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 8b000d44-f7ec-4103-bcaa-e176e68ad4bd · inbound

Image-Guided Shape-from-Template Using Mesh Inextensibility Constraints cites this paper.

Image-Guided Shape-from-Template Using Mesh Inextensibility Constraints Accelerating 3D Deep Learning with PyTorch3D

Reference 39

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Observation be029f13-d572-4c60-adab-38a245aa649e · inbound

Outer Contour-driven Ruled Surface Generation for Linear Hot-wire Rough Machining cites this paper.

Outer Contour-driven Ruled Surface Generation for Linear Hot-wire Rough Machining Accelerating 3D Deep Learning with PyTorch3D

Reference 67

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Observation 09d607fd-e887-470c-ad2e-da5654378484 · inbound

A Comprehensive Pipeline for Aortic Segmentation and Shape Analysis cites this paper.

A Comprehensive Pipeline for Aortic Segmentation and Shape Analysis Accelerating 3D Deep Learning with PyTorch3D

Reference 28

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Observation 42d0edc5-5dec-441a-8801-8fdf96c6a5c4 · inbound

RTFF: Random-to-Target Fabric Flattening Policy using Dual-Arm Manipulator cites this paper.

RTFF: Random-to-Target Fabric Flattening Policy using Dual-Arm Manipulator Accelerating 3D Deep Learning with PyTorch3D

Reference 23

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Observation a8e465ad-95a7-44aa-b5c6-51e73c1d6bea · inbound

NeuralBoneReg: An Instance-Specific Label-Free Point Cloud-Based Method for Multi-Modal Bone Surface Registration cites this paper.

NeuralBoneReg: An Instance-Specific Label-Free Point Cloud-Based Method for Multi-Modal Bone Surface Registration Accelerating 3D Deep Learning with PyTorch3D

Reference 85

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Observation 089735d9-2a07-444f-a0ea-7ad150672473 · inbound

NeuralBoneReg: An Instance-Specific Label-Free Point Cloud-Based Method for Multi-Modal Bone Surface Registration cites this paper.

NeuralBoneReg: An Instance-Specific Label-Free Point Cloud-Based Method for Multi-Modal Bone Surface Registration Accelerating 3D Deep Learning with PyTorch3D

Reference 85

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Observation 05ecef47-2bb6-4705-9c8a-cee6cf281e93 · inbound

TabletopGen: Tabletop Scene Generation and Interactive Simulation for Robotic Manipulation cites this paper.

TabletopGen: Tabletop Scene Generation and Interactive Simulation for Robotic Manipulation Accelerating 3D Deep Learning with PyTorch3D

Reference 43

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Observation 1ff4857e-94fb-442f-ba30-9c48aa1ef23f · inbound

MRD: Using Physically Based Differentiable Rendering to Probe Vision Models for 3D Scene Understanding cites this paper.

MRD: Using Physically Based Differentiable Rendering to Probe Vision Models for 3D Scene Understanding Accelerating 3D Deep Learning with PyTorch3D

Reference 59

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Observation cea0f95f-4e79-452f-9d7c-4e20b410376a · inbound

MorphGS: Morphology-Adaptive Articulated 3D Motion Transfer from Videos cites this paper.

MorphGS: Morphology-Adaptive Articulated 3D Motion Transfer from Videos Accelerating 3D Deep Learning with PyTorch3D

Reference 36

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UIKA: Fast Universal Head Avatar from Pose-Free Images cites this paper.

UIKA: Fast Universal Head Avatar from Pose-Free Images Accelerating 3D Deep Learning with PyTorch3D

Reference 65

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Observation 43479813-e876-4295-a0ea-89128e40fd7e · inbound

AGILE: Hand-Object Interaction Reconstruction from Video via Agentic Generation cites this paper.

AGILE: Hand-Object Interaction Reconstruction from Video via Agentic Generation Accelerating 3D Deep Learning with PyTorch3D

Reference 20

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Observation 45fee13c-a786-4028-9e2f-a45ce85233f5 · inbound

MAGICIAN: Efficient Long-Term Planning with Imagined Gaussians for Active Mapping cites this paper.

MAGICIAN: Efficient Long-Term Planning with Imagined Gaussians for Active Mapping Accelerating 3D Deep Learning with PyTorch3D

Reference 39

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Observation 0f21447e-4180-479e-b998-1cad1d10f1d9 · inbound

Stepper: Stepwise Immersive Scene Generation with Multiview Panoramas cites this paper.

Stepper: Stepwise Immersive Scene Generation with Multiview Panoramas Accelerating 3D Deep Learning with PyTorch3D

Reference 44

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Observation 9a5f949c-665f-4a13-bf70-3d5af708c34a · inbound

InverseDraping: Recovering Sewing Patterns from 3D Garment Surfaces via BoxMesh Bridging cites this paper.

InverseDraping: Recovering Sewing Patterns from 3D Garment Surfaces via BoxMesh Bridging Accelerating 3D Deep Learning with PyTorch3D

Reference 56

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Observation c765def6-0757-4f41-a5f7-c9ae58f3d575 · inbound

Human Interaction-Aware 3D Reconstruction from a Single Image cites this paper.

Human Interaction-Aware 3D Reconstruction from a Single Image Accelerating 3D Deep Learning with PyTorch3D

Reference 36

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Observation ba4f6fc9-99b0-46ae-8061-3a9447b648e9 · inbound

Visually-grounded Humanoid Agents cites this paper.

Visually-grounded Humanoid Agents Accelerating 3D Deep Learning with PyTorch3D

Reference 77

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Observation 0f8fa34d-003a-481b-b2ff-3fa20fc51d5d · inbound

TouchAnything: Diffusion-Guided 3D Reconstruction from Sparse Robot Touches cites this paper.

TouchAnything: Diffusion-Guided 3D Reconstruction from Sparse Robot Touches Accelerating 3D Deep Learning with PyTorch3D

Reference 34

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Observation 83999ceb-9572-40e0-9693-ab031100d807 · inbound

HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds cites this paper.

HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds Accelerating 3D Deep Learning with PyTorch3D

Reference 53

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Observation 0fe02562-e11c-47f8-91de-b80546c25462 · inbound

Geometrically Consistent Multi-View Scene Generation from Freehand Sketches cites this paper.

Geometrically Consistent Multi-View Scene Generation from Freehand Sketches Accelerating 3D Deep Learning with PyTorch3D

Reference 38

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Observation 2df06e7f-b937-4879-b3f4-4c83d8f28442 · inbound

Geometrically Consistent Multi-View Scene Generation from Freehand Sketches cites this paper.

Geometrically Consistent Multi-View Scene Generation from Freehand Sketches Accelerating 3D Deep Learning with PyTorch3D

Reference 38

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Observation 0ab88da1-b37b-40a3-b8c9-ddd4d51097da · inbound

LEXIS: LatEnt ProXimal Interaction Signatures for 3D HOI from an Image cites this paper.

LEXIS: LatEnt ProXimal Interaction Signatures for 3D HOI from an Image Accelerating 3D Deep Learning with PyTorch3D

Reference 63

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Observation 69a86703-bae0-49d7-80f4-4cd5324477c0 · inbound

Multimodal Diffusion to Mutually Enhance Polarized Light and Low Resolution EBSD Data cites this paper.

Multimodal Diffusion to Mutually Enhance Polarized Light and Low Resolution EBSD Data Accelerating 3D Deep Learning with PyTorch3D

Reference 16

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Observation eaea3bc6-cf11-47ed-933a-d2c266b56fa1 · inbound

Profile-Specific 3DMM Regression from a Single Lateral Face Image cites this paper.

Profile-Specific 3DMM Regression from a Single Lateral Face Image Accelerating 3D Deep Learning with PyTorch3D

Reference 25

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Observation a7166b3a-91b6-4616-aa4c-15f9dd3add6b · inbound

Learning a Delighting Prior for Facial Appearance Capture in the Wild cites this paper.

Learning a Delighting Prior for Facial Appearance Capture in the Wild Accelerating 3D Deep Learning with PyTorch3D

Reference 72

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Observation 7fa48b4c-7d74-4a43-9837-49eb4d9b1d78 · inbound

ObjView-Bench: Rethinking Difficulty and Deployment for Object-Centric View Planning cites this paper.

ObjView-Bench: Rethinking Difficulty and Deployment for Object-Centric View Planning Accelerating 3D Deep Learning with PyTorch3D

Reference 9

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Observation 1e4c35cf-e189-4b8e-95d0-2dc77f522db3 · inbound

Human face perception reflects inverse-generative and naturalistic discriminative objectives cites this paper.

Human face perception reflects inverse-generative and naturalistic discriminative objectives Accelerating 3D Deep Learning with PyTorch3D

Reference 79

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Observation 76654d2f-eb8e-4796-a5b6-60f5b7846f39 · inbound

Still Camouflage, Moving Illusion: View-Induced Trajectory Manipulation in Autonomous Driving cites this paper.

Still Camouflage, Moving Illusion: View-Induced Trajectory Manipulation in Autonomous Driving Accelerating 3D Deep Learning with PyTorch3D

Reference 41

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Observation 5428ea3f-7848-47cb-a025-8c8f31001dca · inbound

Seed3D 2.0: Advancing High-Fidelity Simulation-Ready 3D Content Generation cites this paper.

Seed3D 2.0: Advancing High-Fidelity Simulation-Ready 3D Content Generation Accelerating 3D Deep Learning with PyTorch3D

Reference 13

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Observation 7f0a0b47-ae3f-4a3d-a8c6-c26cecabc5d9 · inbound

Meschers: Geometry Processing of Impossible Objects cites this paper.

Meschers: Geometry Processing of Impossible Objects Accelerating 3D Deep Learning with PyTorch3D

Reference 40

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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.

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Observation a8eef741-38fd-4781-a50b-a63ee9746148 · inbound

A Survey on Deep Learning Architectures for Point Cloud Classification and Segmentation cites this paper.

A Survey on Deep Learning Architectures for Point Cloud Classification and Segmentation Accelerating 3D Deep Learning with PyTorch3D

Reference 75

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local_arxiv, observed 2026-05-20T15:18:25.638232Z

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.

source=pdf_text observed=2026-05-20T15:14:18.105719Z digest=sha256:9be503c69d1eeed6bf173b6674d7686d3d1c29b68c8d9228c08f34c94b2bbb8d

Observation b318753c-27fd-4bc1-83d4-8a4ceb6e56e9 · inbound

A Survey on Deep Learning Architectures for Point Cloud Classification and Segmentation cites this paper.

A Survey on Deep Learning Architectures for Point Cloud Classification and Segmentation Accelerating 3D Deep Learning with PyTorch3D

Reference 75

Resolution
verified exact
local_arxiv, observed 2026-06-30T18:55:00.103260Z

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.

source=pdf_text observed=2026-06-30T18:53:51.366047Z digest=sha256:d8f4b8df93e37374bee7fcd90b19a80c65ea4026dfebf30da3590c097af2d118

Observation 4f3a4f73-287f-4c09-a16d-dfeaf7d64ca4 · inbound

XPR: An Extensible Cross-Platform Point-Based Differentiable Renderer cites this paper.

XPR: An Extensible Cross-Platform Point-Based Differentiable Renderer Accelerating 3D Deep Learning with PyTorch3D

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-07-03T13:28:19.123629Z

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.

source=pdf_text observed=2026-06-27T07:59:14.025568Z digest=sha256:6656901c05e593acabbc4a8ce04bf1d072cf5c889050c68b706b7140b9b07083

Observation c9793f5c-5e6b-4fb5-8bec-574f23a04e8f · inbound

TextHOI-3D: Text-to-3D Hand-Object Interaction via Discrete Multi-View Generation and Joint Mesh Optimization cites this paper.

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

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:27:56.843276Z

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.

source=pdf_text observed=2026-06-27T09:59:43.874631Z digest=sha256:ab668e894f44b2425cb19bef2bed12ed7999e660140bd64ed9ea4ba703b1b63d

Observation f5cb1362-8aae-41cd-8c60-317093c690ab · inbound

Variational Test-time Optimization for Diffusion Synchronization cites this paper.

Variational Test-time Optimization for Diffusion Synchronization Accelerating 3D Deep Learning with PyTorch3D

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-07-03T17:18:43.398938Z

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.

source=pdf_text observed=2026-06-27T04:25:11.171334Z digest=sha256:b3c913d46db606d6421f354822c45b81d646a57b64a12b6c512d649c94b55174

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 cites this paper.

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

Resolution
verified exact
local_arxiv, observed 2026-07-04T20:30:07.176580Z

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.

source=pdf_text observed=2026-06-25T20:08:40.744606Z digest=sha256:43d4d89cfea1391d79a1fd11562cf550183a067fed15349a043e047d90e44892

Observation 1d1fba03-6961-44ed-993a-50fb90bb7483 · inbound

Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation cites this paper.

Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation Accelerating 3D Deep Learning with PyTorch3D

Reference 50

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T09:55:41.295463Z

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.

source=pdf_text observed=2026-07-01T06:00:58.204040Z digest=sha256:6c698edc216afec3f6c1aa8272a2342225e0a21431fe76f421d88358966a018a

Observation 6bfd5b96-689f-4549-8344-af06839e7358 · inbound

Mirror Illusion Art cites this paper.

Mirror Illusion Art Accelerating 3D Deep Learning with PyTorch3D

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:38:33.205006Z

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.

source=pdf_text observed=2026-07-03T15:29:37.166134Z digest=sha256:b4db5f9bb57d510e00186865f908084c9ada2563d6110c0bbd76bc111446b612

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 cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-07-12T10:47:08.171728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T10:47:08.171728Z digest=sha256:ac690a3050d0de70dfb72ad5cd1551abeee09dda50ac598faf356deb5be8295e

Observation 0bc50de2-a26b-49b0-bbcc-03cad521abd9 · inbound

PhysMirror: Physics-Aware Mirror Object Generation cites this paper.

PhysMirror: Physics-Aware Mirror Object Generation Accelerating 3D Deep Learning with PyTorch3D

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-12T02:16:07.323950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:16:07.323950Z digest=sha256:545e2f2955224faffdc9686cafc93cb4a1c90d10d7ca37f9c00bd43f0fee9886

Observation 2812fc9d-6aa5-45cc-b235-a8cfccd9e9b4 · inbound

iVISION-2DCD: A Long-Term Change Detection Dataset for Large-Scale Outdoor Construction Monitoring cites this paper.

iVISION-2DCD: A Long-Term Change Detection Dataset for Large-Scale Outdoor Construction Monitoring Accelerating 3D Deep Learning with PyTorch3D

Reference 47

Resolution
unresolved
no resolver link, observed 2026-07-12T01:39:56.982008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:39:56.982008Z digest=sha256:5b2528d07eaddcdd82519637a44c157c7b209b3c2803388f86f5847fd98f604f

Observation 333dd977-cdb1-4280-8ccf-e7df88924311 · inbound

Enhancing Facial Expression Recognition in Head-Mounted Displays with Synthetic Data cites this paper.

Enhancing Facial Expression Recognition in Head-Mounted Displays with Synthetic Data Accelerating 3D Deep Learning with PyTorch3D

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-11T18:41:46.117223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T18:41:46.117223Z digest=sha256:32a9b4de3d46c31310c14dc7d7c315da4c983c8e8ec842cc7176677668ded922

Observation 15341170-c72e-4b02-b183-933628cc3de3 · inbound

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects cites this paper.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Accelerating 3D Deep Learning with PyTorch3D

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-01T21:39:38.175021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:39:38.175021Z digest=sha256:3432a15df26fd06a1abe31430865eb1d0258601f91e1e1c9159c071d0428d6d1

Observation 6ec13f02-229d-4431-a6fa-9f668110eee5 · inbound

AdvSerial: Physical Adversarial Attacks on Infrastructure-mounted Pedestrian Detectors via Semantic Feature Suppression cites this paper.

AdvSerial: Physical Adversarial Attacks on Infrastructure-mounted Pedestrian Detectors via Semantic Feature Suppression Accelerating 3D Deep Learning with PyTorch3D

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T19:10:58.078312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:10:58.078312Z digest=sha256:5124db8410852509a8f1028258258eac6ed6e5725847d6dc4159e431310414d2

Observation e6cc3268-f0e0-4fce-82db-0408c5e94b66 · inbound

Articulated Object Reconstruction from Rest-State Observation cites this paper.

Articulated Object Reconstruction from Rest-State Observation Accelerating 3D Deep Learning with PyTorch3D

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-01T02:05:34.468469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:05:34.468469Z digest=sha256:7dd9e82284061e51f143b9d83a5e29425ec3cb099dc5b67b788d8140201f6904