Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T04:30:00.548266Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.13698.
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 2026-08-02T04:30:00.548266Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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
36 of 36 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 6a179cba-f8b3-40ed-a9dd-3796df9cf155 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Bin-picking—5 decades of research,
Reference 1
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Observation ee78dbfe-3118-4476-8741-1c81ff880a0d · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Current research trends in robot grasping and bin picking,
Reference 2
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Observation a2c8a026-8b7e-4a68-ba9d-e2ebb3c11102 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Bin picking approaches based on deep learning techniques: A state-of-the-art survey,
Reference 3
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Observation 14f27735-6d34-48d9-8532-380ee3625a37 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Good grasps only: A data engine for self-supervised fine-tuning of pose estimation using grasp poses for verification,
Reference 4
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Observation 5f35eeb6-1d60-44a3-961f-f4a1e1df92be · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Bop: Benchmark for 6d object pose estimation,
Reference 5
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Observation 6fe928d6-3778-4bd7-82c8-bdc3d37c9f7f · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Bop challenge 2020 on 6d object localization,
Reference 6
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Observation 562d80b8-16af-4038-b314-90528e09c0b7 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects
Reference 7
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Observation 66ce770e-c7f0-4b06-9bb7-720efd1dcd74 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Bop challenge 2023 on detection segmentation and pose estimation of seen and unseen rigid objects,
Reference 8
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Observation 55afa130-ba6b-427c-ba66-ca7016f3d152 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Off-the-shelf bin picking workcell with visual pose estimation: A case study on the world robot summit 2018 kitting task,
Reference 9
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Unavailable: canonical work link unavailable.
Observation cab909d3-76cc-44ff-9bc9-0f484f83d670 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Towards robot cell matrices for agile production–sdu robotics’ assembly cell at the wrc 2018,
Reference 10
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Observation be76b5f9-fa03-4154-b27d-0e32d46da971 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with Uncertainty
Reference 11
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Observation 588febb5-7365-40fd-83b9-e75bea357ee0 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold
Reference 12
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Unavailable: canonical work link unavailable.
Observation 6c1d3c24-c70d-46d6-848a-c1cbedcb5648 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Ki-Pode: Keypoint-based Implicit Pose Distribution Estimation of Rigid Objects
Reference 13
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Unavailable: canonical work link unavailable.
Observation be6ec10e-d9a8-4f65-8ac1-19296c67daac · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Spyropose: Se (3) pyramids for object pose distribution estimation,
Reference 14
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Unavailable: canonical work link unavailable.
Observation 364d0549-6696-4970-acee-958fbfd8b0bc · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Confronting ambiguity in 6d object pose estimation via score-based diffusion on se (3),
Reference 15
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Observation ed6b4d43-7980-4607-ae8b-0d3ce0c392a6 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Corr2distrib: Making ambiguous correspondences an ally to predict reliable 6d pose distributions,
Reference 16
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Observation a33cb2f8-3f8d-4922-9349-c97531e83d33 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Object pose distribution estimation for determining revolution and reflection uncertainty in point clouds,
Reference 17
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Observation bb73a08c-4c35-4057-a8b9-021ee98c85bd · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Assembly challenge: a robot competition of the industrial robotics category, world robot summit–summary of the pre-competition in 2018,
Reference 18
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Unavailable: canonical work link unavailable.
Observation efe34a4b-435c-470e-9dd0-81385b3e6d5d · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Large-scale 6d object pose estimation dataset for industrial bin-picking. in 2019 ieee,
Reference 19
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Observation 3a319f37-634f-4dc0-94f8-db3c7edd0341 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Scara+ system: Bin picking sys- tem of revolution-symmetry objects,
Reference 20
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Observation 5ebd8d48-e78d-491f-9d80-62f6a02737e2 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Two-Stage Grasping: A New Bin Picking Framework for Small Objects
Reference 21
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Observation d87c01b1-345f-4735-9ffa-930e60a061c1 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Robotic general parts feeder: Bin-picking, regrasping, and kitting,
Reference 22
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Observation c519d4cc-99c7-4b20-a6d7-0e92700382d2 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Robust bin-picking system using tactile sensor,
Reference 23
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Observation 672a31fd-c3ed-4436-9fe3-44338aed191e · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Towards High Precision: An Adaptive Self-Supervised Learning Framework for Force-Based Verification
Reference 24
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Observation 9a8c6e17-4b07-431b-ac88-15a287805383 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Using vision for pre-and post- grasping object localization for soft hands,
Reference 25
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Observation a368c3a6-5fda-403b-abda-b5c8ce1f65b8 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Robust, occlusion-aware pose estimation for objects grasped by adaptive hands,
Reference 26
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Observation 3c349cc3-8fee-42fd-8800-594ee78cdc22 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Reorientating objects with a gripping hand and a table surface,
Reference 27
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Observation a96b1ab1-2ac9-4891-830f-2e507302613b · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Robotic task success evaluation under multi-modal non-parametric object pose uncertainty,
Reference 28
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Unavailable: canonical work link unavailable.
Observation cd8207a9-d565-4c35-8df8-7be780c13d58 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Deep learning a grasp function for grasping under gripper pose uncertainty,
Reference 29
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Observation 8f4dd771-6fba-479b-a067-1fffaaeede24 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Se (3)-poseflow: Estimating 6d pose distribu- tions for uncertainty-aware robotic manipulation,
Reference 30
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Observation 66c359f7-e631-489d-a098-aedbb1f90f51 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Keymatchnet: Zero-shot pose estimation in 3d point clouds by generalized keypoint matching,
Reference 31
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Observation f74ac438-4cce-4170-924f-e729b8d1b076 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Proper likelihoods for bayesian analysis,
Reference 32
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Observation a4b88080-34e7-413c-bc61-a4f1fc71562d · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Advances in machine vision for flexible feeding of assembly parts,
Reference 33
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Observation abae5579-1c1f-4e3d-8dbc-b5b6cc751ec0 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties A planning framework for non- prehensile manipulation under clutter and uncertainty,
Reference 34
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Observation 2f849abe-cebc-49c9-b0ee-f98f1cc40622 · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Control of nonprehensile manipula- tion,
Reference 35
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Observation a1d0da57-a21b-4a79-824f-94eb9a72d15f · outbound
Towards a Modular Bin-picking Framework for Handling Object Pose Uncertainties Robot control for nonprehensile dynamic manipulation tasks,
Reference 36
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No inbound Pith citation observations are available.