Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T16:37:19.604421Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2605.26944.
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 2026-06-29T16:37:19.604421Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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
63 of 63 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation f428807f-1ae4-4d85-979c-00da9a300a25 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Anygrasp: Robust and efficient grasp perception in spatial and temporal domains,
Reference 1
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Unavailable: canonical work link unavailable.
Observation 7cf8dc4c-808c-4aa9-9a7f-29483ce9d379 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Language embedded radiance fields for zero-shot task-oriented grasping,
Reference 2
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Observation 90a905c9-771f-4a1e-af96-2ea6779262c7 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Robot grasp synthesis algorithms: A survey,
Reference 3
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Observation 83211a6d-a165-4e3d-98cc-0b02be4e40db · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Robotic grasping and contact: a review,
Reference 4
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Observation c2cf6569-50f2-4917-8ce8-af7b8c81d2ce · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Data-driven grasp synthesis—a survey,
Reference 5
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Observation 0c74ee69-cf8f-4d2f-aa07-d62a62bc37be · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Dex-net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics,
Reference 6
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Observation 3fe1ad2a-ffab-4073-bf44-6711af7adff4 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Da 2 dataset: Toward dexterity-aware dual-arm grasping,
Reference 7
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Unavailable: canonical work link unavailable.
Observation 4831e299-5b2b-4b44-ab50-97747981b3e1 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? A billion ways to grasps - an evaluation of grasp sampling schemes on a dense, physics-based grasp data set,
Reference 8
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Unavailable: canonical work link unavailable.
Observation 037fdadc-835b-4d56-aacb-4e2d0bd1bbff · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? GDR-Net: Geometry- Guided Direct Regression Network for Monocular 6D Object Pose Estimation,
Reference 9
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Observation 8230ff3a-8ff5-464f-ba04-de7decad55df · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Normalized object coordinate space for category-level 6d object pose and size estimation,
Reference 10
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Observation d37eac73-ec0b-450c-ad49-1abb3559a5cc · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? GDRNPP: A geometry-guided and fully learning-based object pose estimator,
Reference 11
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Unavailable: canonical work link unavailable.
Observation e5491d1a-aea3-4aa3-85c3-45dff5455f7f · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Category-level 6d object pose estimation in the wild: A semi-supervised learning approach and a new dataset,
Reference 12
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Observation 3c1e40f1-9e9b-4484-ad82-9913780beb2c · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Sgpa: Structure-guided prior adaptation for category-level 6d object pose estimation,
Reference 13
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Unavailable: canonical work link unavailable.
Observation 6b5df302-ec68-4192-b108-f7e642da42ee · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Dualposenet: Category- level 6d object pose and size estimation using dual pose network with refined learning of pose consistency,
Reference 14
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Unavailable: canonical work link unavailable.
Observation 6cb35c39-f866-40f3-a784-b84337e4b34f · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Multiview compressive coding for 3d reconstruction,
Reference 15
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Unavailable: canonical work link unavailable.
Observation 6ced0e0a-eccc-4d77-9703-4a4aa9a17154 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? LRM: Large reconstruction model for single image to 3d,
Reference 16
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Unavailable: canonical work link unavailable.
Observation 48a5dd69-d937-4f8a-8b25-90c21d7f0649 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? CRISP: Object pose and shape estimation with test-time adaptation,
Reference 17
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Unavailable: canonical work link unavailable.
Observation 8e3c687c-6bc4-4203-b6c6-dd9a6a200240 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Pre-train, self-train, distill: A simple recipe for supersizing 3d reconstruction,
Reference 18
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Unavailable: canonical work link unavailable.
Observation 6ce7bf1c-b6fb-4915-b830-43b7ab9bc18f · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Zeroshape: Regression-based zero-shot shape reconstruction,
Reference 19
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Unavailable: canonical work link unavailable.
Observation 0d2f0aff-0feb-4838-9eb1-3d99db14b58b · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
Reference 20
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.
Observation 6de95848-304e-4297-a4b8-c170df6b3b32 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Zero-1-to-3: Zero-shot one image to 3d object,
Reference 21
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Unavailable: canonical work link unavailable.
Observation 29e642d2-0350-4688-be6f-63d4b4555d8f · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Shap-E: Generating Conditional 3D Implicit Functions
Reference 22
Source-reported events for the cited work
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Observation 8077c1f5-f323-4c21-8e1c-498e52867605 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? NeuralLift-360: Lifting an in-the-wild 2d photo to a 3d object with 360° views,
Reference 23
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Unavailable: canonical work link unavailable.
Observation 4c65401a-abe6-4533-ab5e-7c3d2596c31c · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? RealFusion: 360 reconstruction of any object from a single image,
Reference 24
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Unavailable: canonical work link unavailable.
Observation 867150c8-b0c1-4774-9db1-a4e94673441a · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? SceneComplete: Open-World 3D Scene Completion in Complex Real World Environments for Robot Manipulation
Reference 25
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Observation eb53e4c1-3226-4ad0-bc93-830f22905d48 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? SAM 3D: 3Dfy Anything in Images
Reference 26
Source-reported events for the cited work
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Observation 6a50aac3-41c4-4329-973f-76c06257b866 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Self6D: Self-supervised monocular 6D object pose estimation,
Reference 27
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Unavailable: canonical work link unavailable.
Observation 019d2858-0f8f-4bcc-b890-f4f99fa7a04b · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? ShapeICP: Iterative category-level object pose and shape estimation from depth,
Reference 28
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Unavailable: canonical work link unavailable.
Observation f8dd890a-ed7a-4233-b178-2e564ca9b933 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Learning canonical shape space for category-level 6d object pose and size estimation,
Reference 29
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Unavailable: canonical work link unavailable.
Observation 29fa1229-f31c-479e-a560-88baebf1746f · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Shape prior deformation for categorical 6d object pose and size estimation,
Reference 30
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Unavailable: canonical work link unavailable.
Observation 581b148f-7fab-4744-8818-a5c0acc9d42a · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Fsd: Fast self-supervised single rgb-d to categorical 3d objects,
Reference 31
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Unavailable: canonical work link unavailable.
Observation f37f73d8-9936-49ff-93bd-58c04ebd9ea8 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Novel View Synthesis with Diffusion Models
Reference 32
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Observation 9f68a5df-89b9-4c65-83f7-4b421d36a6dc · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? GraspNet-1Billion: A large- scale benchmark for general object grasping,
Reference 33
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Unavailable: canonical work link unavailable.
Observation 3aa1a61d-8a18-4825-a974-da6f68b1849f · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Grasping in the wild: Learning 6DoF closed-loop grasping from low-cost demonstrations,
Reference 34
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Unavailable: canonical work link unavailable.
Observation 849eb1a1-998f-4a38-b70d-afe7f5c787f1 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Contact- graspnet: Efficient 6-dof grasp generation in cluttered scenes,
Reference 35
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Unavailable: canonical work link unavailable.
Observation 0caeb800-5f2b-42d7-bf1d-d1ae586d2c10 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? RGB Matters: Learning 7-DoF grasp poses on monocular rgbd images,
Reference 36
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Observation 854eedbd-71fa-47f7-b2bf-bc9f3a22a4b2 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Deep learning approaches to grasp synthesis: A review,
Reference 37
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Observation af9f8455-0c5f-4016-9a18-d9dc61bd167d · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? BOP challenge 2020 on 6D object localization,
Reference 38
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Unavailable: canonical work link unavailable.
Observation a7b06cae-a8e9-49ca-803f-75f54bb7d233 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? PoseCNN: A convolutional neural network for 6D object pose estimation in cluttered scenes,
Reference 39
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Observation 6020d5e5-fca9-4cfc-a199-83b012c07c0f · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? FreeZe: Training- free zero-shot 6d pose estimation with geometric and vision foundation models,
Reference 40
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Observation c45afdc3-1921-4fa4-972c-bb01c0c39504 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Co-op: Correspondence-based novel object pose estimation,
Reference 41
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Observation cd77b7b2-3fad-4482-b70b-2d6b37dc5f41 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? FoundationPose: Unified 6d pose estimation and tracking of novel objects,
Reference 42
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Unavailable: canonical work link unavailable.
Observation a43c7fd6-33ca-43f5-9c74-9a8fedccf33a · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? GigaPose: Fast and robust novel object pose estimation via one correspondence,
Reference 43
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Unavailable: canonical work link unavailable.
Observation 19560fbe-287d-41eb-9664-9da68cd6e3cf · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? GenFlow: Generalizable recurrent flow for 6d pose refinement of novel objects,
Reference 44
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Unavailable: canonical work link unavailable.
Observation 150c3167-3be8-4b89-8581-18869cebb779 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Megapose: 6d pose estimation of novel objects via render & compare,
Reference 45
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Observation 0099f4a3-f532-4232-bb98-5b2bb2b7b056 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Graspit! a versatile simulator for robotic grasping,
Reference 46
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Unavailable: canonical work link unavailable.
Observation 74a10eb8-69be-4938-91f2-5ddf6c0033b5 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Learning task-oriented grasping for tool manipulation from simulated self-supervision,
Reference 47
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Observation 16c50941-33bf-475d-b35c-0115be20435f · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Language-driven grasp detection,
Reference 48
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Observation ab5bf1f9-5374-40ab-9386-7b88e9d0b1b8 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? D(R,O) Grasp: A unified representation of robot and object interaction for cross-embodiment dexterous grasping,
Reference 49
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Observation 4142ac6d-0421-4410-8974-7d771f254d73 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? kPAM-SC: Generalizable manipulation planning using keypoint affordance and shape completion,
Reference 50
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Unavailable: canonical work link unavailable.
Observation 9e5e51ef-36e5-491f-82c5-6471ae40f601 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? A geometric approach for grasping unknown objects with multifingered hands,
Reference 51
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Observation a9d73ed5-4626-412e-83ef-82b9bec125f3 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Simultaneous object reconstruction and grasp prediction using a camera- centric object shell representation,
Reference 52
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Unavailable: canonical work link unavailable.
Observation 6731b318-c24f-41cf-8f16-e86af131a38b · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Robotic pick-and-place with uncertain object instance segmentation and shape completion,
Reference 53
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Unavailable: canonical work link unavailable.
Observation 3a52fb85-bbe8-482e-b509-0aad4f497907 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Robust grasp planning over uncertain shape completions,
Reference 54
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Observation 14ee09df-6ebc-4e9d-be01-507cf4081289 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Repre- sentations,
Reference 55
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Observation 28b4b1de-cd27-4c3b-a93a-7f57480ea992 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Learning 6-dof grasping interaction via deep geometry-aware 3d representations,
Reference 56
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Unavailable: canonical work link unavailable.
Observation 016ae5b5-7f0e-4d4d-8f56-6b90f705ad4e · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Robotic grasping through combined image-based grasp proposal and 3d reconstruction,
Reference 57
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Unavailable: canonical work link unavailable.
Observation a6fdb359-b027-463d-bd55-e3434a3b3eb9 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Scarp: 3d shape completion in arbitrary poses for improved grasping,
Reference 58
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Unavailable: canonical work link unavailable.
Observation 5f2bebff-3a85-42f6-b13c-25f5fbfa8123 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Learning-Free Grasping of Unknown Objects Using Hidden Superquadrics,
Reference 59
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Unavailable: canonical work link unavailable.
Observation 97841823-5048-4348-a264-bd2cc3914448 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Centergrasp: Object-aware implicit representation learning for simulta- neous shape reconstruction and 6-dof grasp estimation,
Reference 60
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Observation b6ca016e-e2c9-4552-b0fe-4f29c3a725d6 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? Marching cubes: A high resolution 3d surface construction algorithm,
Reference 61
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Observation 1fe24214-35bf-4cdf-99c0-57ef7f4717db · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion
Reference 62
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.
Observation 3b2dc370-2f6d-4362-93a9-9cc74692d420 · outbound
Object Pose and Shape Estimation for Grasping: Does it Work? PyBullet: a python module for physics simulation for games, robotics and machine learning
Reference 63
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No inbound Pith citation observations are available.