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Paper Citation Record · LEDGER

Object Pose and Shape Estimation for Grasping: Does it Work?

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.

pith.paper-citation-record.v1
2605.26944 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T16:37:19.604421Z

measured 63 of 63 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

63 of 63 outbound references displayed

  • verified exact6
  • verified fuzzy0
  • unresolved57
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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Outbound references

Observation f428807f-1ae4-4d85-979c-00da9a300a25 · outbound

This paper cites Anygrasp: Robust and efficient grasp perception in spatial and temporal domains,.

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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Observation 7cf8dc4c-808c-4aa9-9a7f-29483ce9d379 · outbound

This paper cites Language embedded radiance fields for zero-shot task-oriented grasping,.

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

This paper cites Robot grasp synthesis algorithms: A survey,.

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

This paper cites Robotic grasping and contact: a review,.

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

This paper cites Data-driven grasp synthesis—a survey,.

Object Pose and Shape Estimation for Grasping: Does it Work? Data-driven grasp synthesis—a survey,

Reference 5

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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:9880e8b4fa1333ab512a5a8172f4dc2a38c200a56803887d5a0f3abd9dae4ca0

Observation 0c74ee69-cf8f-4d2f-aa07-d62a62bc37be · outbound

This paper cites Dex-net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics,.

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

This paper cites Da 2 dataset: Toward dexterity-aware dual-arm grasping,.

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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Observation 4831e299-5b2b-4b44-ab50-97747981b3e1 · outbound

This paper cites A billion ways to grasps - an evaluation of grasp sampling schemes on a dense, physics-based grasp data set,.

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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Observation 037fdadc-835b-4d56-aacb-4e2d0bd1bbff · outbound

This paper cites GDR-Net: Geometry- Guided Direct Regression Network for Monocular 6D Object Pose Estimation,.

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

This paper cites Normalized object coordinate space for category-level 6d object pose and size estimation,.

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

This paper cites GDRNPP: A geometry-guided and fully learning-based object pose estimator,.

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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Observation e5491d1a-aea3-4aa3-85c3-45dff5455f7f · outbound

This paper cites Category-level 6d object pose estimation in the wild: A semi-supervised learning approach and a new dataset,.

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

This paper cites Sgpa: Structure-guided prior adaptation for category-level 6d object pose estimation,.

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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Observation 6b5df302-ec68-4192-b108-f7e642da42ee · outbound

This paper cites Dualposenet: Category- level 6d object pose and size estimation using dual pose network with refined learning of pose consistency,.

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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Observation 6cb35c39-f866-40f3-a784-b84337e4b34f · outbound

This paper cites Multiview compressive coding for 3d reconstruction,.

Object Pose and Shape Estimation for Grasping: Does it Work? Multiview compressive coding for 3d reconstruction,

Reference 15

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Observation 6ced0e0a-eccc-4d77-9703-4a4aa9a17154 · outbound

This paper cites LRM: Large reconstruction model for single image to 3d,.

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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Observation 48a5dd69-d937-4f8a-8b25-90c21d7f0649 · outbound

This paper cites CRISP: Object pose and shape estimation with test-time adaptation,.

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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Observation 8e3c687c-6bc4-4203-b6c6-dd9a6a200240 · outbound

This paper cites Pre-train, self-train, distill: A simple recipe for supersizing 3d reconstruction,.

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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Observation 6ce7bf1c-b6fb-4915-b830-43b7ab9bc18f · outbound

This paper cites Zeroshape: Regression-based zero-shot shape reconstruction,.

Object Pose and Shape Estimation for Grasping: Does it Work? Zeroshape: Regression-based zero-shot shape reconstruction,

Reference 19

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Observation 0d2f0aff-0feb-4838-9eb1-3d99db14b58b · outbound

This paper cites InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models.

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

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Observation 6de95848-304e-4297-a4b8-c170df6b3b32 · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object,.

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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Observation 29e642d2-0350-4688-be6f-63d4b4555d8f · outbound

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

Object Pose and Shape Estimation for Grasping: Does it Work? Shap-E: Generating Conditional 3D Implicit Functions

Reference 22

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Observation 8077c1f5-f323-4c21-8e1c-498e52867605 · outbound

This paper cites NeuralLift-360: Lifting an in-the-wild 2d photo to a 3d object with 360° views,.

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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Observation 4c65401a-abe6-4533-ab5e-7c3d2596c31c · outbound

This paper cites RealFusion: 360 reconstruction of any object from a single image,.

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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Observation 867150c8-b0c1-4774-9db1-a4e94673441a · outbound

This paper cites SceneComplete: Open-World 3D Scene Completion in Complex Real World Environments for Robot Manipulation.

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

This paper cites SAM 3D: 3Dfy Anything in Images.

Object Pose and Shape Estimation for Grasping: Does it Work? SAM 3D: 3Dfy Anything in Images

Reference 26

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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:cb9801e2f15beb39a02a5157bf42e8408b132af5cc3bab57e08f4854d7480e44

Observation 6a50aac3-41c4-4329-973f-76c06257b866 · outbound

This paper cites Self6D: Self-supervised monocular 6D object pose estimation,.

Object Pose and Shape Estimation for Grasping: Does it Work? Self6D: Self-supervised monocular 6D object pose estimation,

Reference 27

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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:c53edd037f19b6e8f4b28747fe3fd9ffe80b86b3e646660b6f873e23c201347e

Observation 019d2858-0f8f-4bcc-b890-f4f99fa7a04b · outbound

This paper cites ShapeICP: Iterative category-level object pose and shape estimation from depth,.

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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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:fc97fea895f0a96d38c7bf9ca2659ac301291d8159b5c587daff9c52b09f7f87

Observation f8dd890a-ed7a-4233-b178-2e564ca9b933 · outbound

This paper cites Learning canonical shape space for category-level 6d object pose and size estimation,.

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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Observation 29fa1229-f31c-479e-a560-88baebf1746f · outbound

This paper cites Shape prior deformation for categorical 6d object pose and size estimation,.

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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Observation 581b148f-7fab-4744-8818-a5c0acc9d42a · outbound

This paper cites Fsd: Fast self-supervised single rgb-d to categorical 3d objects,.

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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Observation f37f73d8-9936-49ff-93bd-58c04ebd9ea8 · outbound

This paper cites Novel View Synthesis with Diffusion Models.

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

This paper cites GraspNet-1Billion: A large- scale benchmark for general object grasping,.

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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Observation 3aa1a61d-8a18-4825-a974-da6f68b1849f · outbound

This paper cites Grasping in the wild: Learning 6DoF closed-loop grasping from low-cost demonstrations,.

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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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:4c917b3d1417c5d27c0f6b0259eea6eaeaf55104b0e401e9a63150cfacbee216

Observation 849eb1a1-998f-4a38-b70d-afe7f5c787f1 · outbound

This paper cites Contact- graspnet: Efficient 6-dof grasp generation in cluttered scenes,.

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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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:8ce1f0720c42a8bf37ff3821662572cc2f8f81ab210d4c8a8555631ae059e882

Observation 0caeb800-5f2b-42d7-bf1d-d1ae586d2c10 · outbound

This paper cites RGB Matters: Learning 7-DoF grasp poses on monocular rgbd images,.

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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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:2eb171ef417290d7724065925fd246e63e96b97bc9c79031a39b06105f976636

Observation 854eedbd-71fa-47f7-b2bf-bc9f3a22a4b2 · outbound

This paper cites Deep learning approaches to grasp synthesis: A review,.

Object Pose and Shape Estimation for Grasping: Does it Work? Deep learning approaches to grasp synthesis: A review,

Reference 37

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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:d22cfa6f4db4e07532e7ccc6246cc51edc66c61924fa34ab3c83de0a9258b205

Observation af9f8455-0c5f-4016-9a18-d9dc61bd167d · outbound

This paper cites BOP challenge 2020 on 6D object localization,.

Object Pose and Shape Estimation for Grasping: Does it Work? BOP challenge 2020 on 6D object localization,

Reference 38

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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:7a3b3cc2a46dca6286139a30f791077d96e8a27784d365112c6772c4737540fb

Observation a7b06cae-a8e9-49ca-803f-75f54bb7d233 · outbound

This paper cites PoseCNN: A convolutional neural network for 6D object pose estimation in cluttered scenes,.

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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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:d8daf305c1c0ec328698dd5fe6149cda5a9b24e4344f14d86a59d55901447056

Observation 6020d5e5-fca9-4cfc-a199-83b012c07c0f · outbound

This paper cites FreeZe: Training- free zero-shot 6d pose estimation with geometric and vision foundation models,.

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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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:9e6fa21362f1123baf17ef6b6c9b2536f5da92a5c6d77aaf67d3e22b6dc0eb9e

Observation c45afdc3-1921-4fa4-972c-bb01c0c39504 · outbound

This paper cites Co-op: Correspondence-based novel object pose estimation,.

Object Pose and Shape Estimation for Grasping: Does it Work? Co-op: Correspondence-based novel object pose estimation,

Reference 41

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:eb449641d6be06b10192e6fd827b902e57cb86eafdb8340026e56da8c38b386a

Observation cd77b7b2-3fad-4482-b70b-2d6b37dc5f41 · outbound

This paper cites FoundationPose: Unified 6d pose estimation and tracking of novel objects,.

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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Source-reported events for the cited work

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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:b65fd05281447e80bacba5891006e284ed8ae02e26134d8fb560db073c637263

Observation a43c7fd6-33ca-43f5-9c74-9a8fedccf33a · outbound

This paper cites GigaPose: Fast and robust novel object pose estimation via one correspondence,.

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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Source-reported events for the cited work

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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:c2237e6140f49510946ff55edcba6b05d3dbf30a0bd1d634700dbad9db91ea07

Observation 19560fbe-287d-41eb-9664-9da68cd6e3cf · outbound

This paper cites GenFlow: Generalizable recurrent flow for 6d pose refinement of novel objects,.

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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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:ffab42f0c167b441773d05c9c68839b990c11f3c38b93ee85e17185875f8935f

Observation 150c3167-3be8-4b89-8581-18869cebb779 · outbound

This paper cites Megapose: 6d pose estimation of novel objects via render & compare,.

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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Source-reported events for the cited work

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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:a7e23373dfcb46ce743781e2b39de79b7098063cd7a111b7858b43ee69c7430e

Observation 0099f4a3-f532-4232-bb98-5b2bb2b7b056 · outbound

This paper cites Graspit! a versatile simulator for robotic grasping,.

Object Pose and Shape Estimation for Grasping: Does it Work? Graspit! a versatile simulator for robotic grasping,

Reference 46

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:14bf8e2b2adc69f2fa3cb47642a0d05aabc61d30b2ccf8d3b88c21cf98682748

Observation 74a10eb8-69be-4938-91f2-5ddf6c0033b5 · outbound

This paper cites Learning task-oriented grasping for tool manipulation from simulated self-supervision,.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:c0c78d91e65a63d4e712b92ced4b4b2176b4e074c95be5dcf1d2e9ef3166ccf5

Observation 16c50941-33bf-475d-b35c-0115be20435f · outbound

This paper cites Language-driven grasp detection,.

Object Pose and Shape Estimation for Grasping: Does it Work? Language-driven grasp detection,

Reference 48

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:d07a0c98e9b104923a95d8e6df3abefd75f64337a464ddab5169050767da6802

Observation ab5bf1f9-5374-40ab-9386-7b88e9d0b1b8 · outbound

This paper cites D(R,O) Grasp: A unified representation of robot and object interaction for cross-embodiment dexterous grasping,.

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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Source-reported events for the cited work

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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:f4867b7f449702628e1ca6a84c6323c368e0d78955debe32f763be9eef26500f

Observation 4142ac6d-0421-4410-8974-7d771f254d73 · outbound

This paper cites kPAM-SC: Generalizable manipulation planning using keypoint affordance and shape completion,.

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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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:eefe3d21009f75aac0bbda2f9f984d484b4de3b5e2fd80c01c2b4d6e364a2e69

Observation 9e5e51ef-36e5-491f-82c5-6471ae40f601 · outbound

This paper cites A geometric approach for grasping unknown objects with multifingered hands,.

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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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:03b64beb4271dfb07941fb50f5d0638d304d8eaa577a35fdc283a9eb69789e0c

Observation a9d73ed5-4626-412e-83ef-82b9bec125f3 · outbound

This paper cites Simultaneous object reconstruction and grasp prediction using a camera- centric object shell representation,.

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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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:54a70384ad0913d816245b3fa620442609d6cbac5639dfaa2f86d3f31f4541f4

Observation 6731b318-c24f-41cf-8f16-e86af131a38b · outbound

This paper cites Robotic pick-and-place with uncertain object instance segmentation and shape completion,.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:a7bce7dec0c2fb7cbf6b4a76ff3321115a8eb59a4fd7b8fdb9ba048f212c3491

Observation 3a52fb85-bbe8-482e-b509-0aad4f497907 · outbound

This paper cites Robust grasp planning over uncertain shape completions,.

Object Pose and Shape Estimation for Grasping: Does it Work? Robust grasp planning over uncertain shape completions,

Reference 54

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:3ef414a03daed0a78b2fea309ea5fadf4226950a5967a81ba072d9190eeacfbd

Observation 14ee09df-6ebc-4e9d-be01-507cf4081289 · outbound

This paper cites Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Repre- sentations,.

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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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:0ffdb25663fabd28322ac327b4b936b6b332889517f9e0616eb0eac2bf7f7c78

Observation 28b4b1de-cd27-4c3b-a93a-7f57480ea992 · outbound

This paper cites Learning 6-dof grasping interaction via deep geometry-aware 3d representations,.

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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Source-reported events for the cited work

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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:a123fcc3d7cc7dc709dd3d5f805670a2451a5d84e2ae96a93c1e481f44c50e37

Observation 016ae5b5-7f0e-4d4d-8f56-6b90f705ad4e · outbound

This paper cites Robotic grasping through combined image-based grasp proposal and 3d reconstruction,.

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.

source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:4566b4e49fe847bb8cf7293da62b6e9d650dcb72ad046931ac07f3ad8a15b34c

Observation a6fdb359-b027-463d-bd55-e3434a3b3eb9 · outbound

This paper cites Scarp: 3d shape completion in arbitrary poses for improved grasping,.

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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Source-reported events for the cited work

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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:a82b3faba5f9301cba1b09df2e854186ce54c05452b1f7de6db6d1e9b0b8a666

Observation 5f2bebff-3a85-42f6-b13c-25f5fbfa8123 · outbound

This paper cites Learning-Free Grasping of Unknown Objects Using Hidden Superquadrics,.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:62648e11e555c5310a65ba90d0bf97e4149c843b27cf7f680f326914811ba691

Observation 97841823-5048-4348-a264-bd2cc3914448 · outbound

This paper cites Centergrasp: Object-aware implicit representation learning for simulta- neous shape reconstruction and 6-dof grasp estimation,.

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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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:a5a69cefe4b297331883067ab73e30177a3c388648da375f2b68c70256105665

Observation b6ca016e-e2c9-4552-b0fe-4f29c3a725d6 · outbound

This paper cites Marching cubes: A high resolution 3d surface construction algorithm,.

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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Source-reported events for the cited work

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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:db50b81624db99b8e1573bbfbd19b6660a72ce3a5f2403fc733176f8351c947f

Observation 1fe24214-35bf-4cdf-99c0-57ef7f4717db · outbound

This paper cites BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion.

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

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verified exact
arxiv_id, observed 2026-06-29T16:43:40.589332Z

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.

source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:b52128adfb3a44e3d380914a026af6378e66162689beaffb4a2d73e9508a2d4f

Observation 3b2dc370-2f6d-4362-93a9-9cc74692d420 · outbound

This paper cites PyBullet: a python module for physics simulation for games, robotics and machine learning.

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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source=pdf_text observed=2026-06-29T16:37:19.604421Z digest=sha256:1d3aa3ef6376791297f6f1ff459b725aa3c990c0efcea9b0db1009a5f2c3e472

Pith citing papers

No inbound Pith citation observations are available.