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Paper Citation Record · LEDGER

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution

As of 5 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2607.14341.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.14341 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:25:58.710432Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

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External citation measurements

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Outbound references

Observation b549457d-3c58-4fc8-9546-3eac49897f1d · outbound

This paper cites Learning-based robotic grasping: A review,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Learning-based robotic grasping: A review,

Reference 1

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Observation f4c4f9c1-2546-485c-ba19-a8c8360c5c2a · outbound

This paper cites A review of robotic grasp detection technol- ogy,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution A review of robotic grasp detection technol- ogy,

Reference 2

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Observation 0a0d78a1-9818-4850-8831-a3d787a736fe · outbound

This paper cites Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review,

Reference 3

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Observation f0d2e3e3-25e0-4848-b938-936b5c6b8800 · outbound

This paper cites FetchBench: A Simulation Benchmark for Robot Fetching.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution FetchBench: A Simulation Benchmark for Robot Fetching

Reference 4

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Observation 4c451e05-63a1-4e88-bd84-e59777814d59 · outbound

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

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Deep learning approaches to grasp synthesis: A review,

Reference 5

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Observation 992f005b-cded-48e7-8284-df4c494c7fec · outbound

This paper cites Technological development and optimization of pushing and grasping functions in robot arms: A review,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Technological development and optimization of pushing and grasping functions in robot arms: A review,

Reference 6

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Observation 7add2d23-0fb4-4121-b2f2-6ef98c5cdf7b · outbound

This paper cites Rlbench: The robot learning benchmark & learning environment,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Rlbench: The robot learning benchmark & learning environment,

Reference 7

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Observation ee5b2145-f61a-49d0-8905-f4be36cc25c3 · outbound

This paper cites RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots

Reference 8

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source=pdf_text observed=2026-08-02T02:25:53.915422Z digest=sha256:6f42d1165992c65930bde7118f1686bca8092fc6894c55393238ef71a9cf4edd

Observation db442526-d23b-4335-a32d-335e0a040c95 · outbound

This paper cites Libero: Benchmarking knowledge transfer for lifelong robot learn- ing,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Libero: Benchmarking knowledge transfer for lifelong robot learn- ing,

Reference 9

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Observation 481223e8-41e8-4ee7-9ff0-c15a83959a0f · outbound

This paper cites VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks

Reference 10

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source=pdf_text observed=2026-08-02T02:25:54.279975Z digest=sha256:5c5bdf3637e8fb6be67d2423932efd8589273dfb1005acb3eb914e6c9681a4f9

Observation 115bbf6f-4d85-4686-afd1-4926df2be9b7 · outbound

This paper cites THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation

Reference 11

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source=pdf_text observed=2026-08-02T02:25:54.454462Z digest=sha256:5c3ae7fe7b99bcdf1395b099b63bfa914749c1cb95e934f40ea0da8021cf75ed

Observation eabe649b-aad4-4cec-bc08-c97bd1a218bd · outbound

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

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Graspnet-1billion: A large- scale benchmark for general object grasping,

Reference 12

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source=pdf_text observed=2026-08-02T02:25:54.554004Z digest=sha256:d7f02851005a438c223fab599ae834571a008e0414170e634643a24a06a197ac

Observation 17455cba-e96e-4249-9f85-477cf37e7a52 · outbound

This paper cites Grasp-anything: Large-scale grasp dataset from foundation models,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Grasp-anything: Large-scale grasp dataset from foundation models,

Reference 13

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source=pdf_text observed=2026-08-02T02:25:54.666784Z digest=sha256:b09745c6c2ad17fd8819f9e60df8d823ec6669d2efadde7f69ed00d05406031b

Observation 84a04faa-888d-4ad7-8b3b-04e2b5394f0f · outbound

This paper cites Fmb: a functional manipulation benchmark for generalizable robotic learning,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Fmb: a functional manipulation benchmark for generalizable robotic learning,

Reference 14

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Observation 17094bd7-9c68-4521-82d7-398ffbc50068 · outbound

This paper cites GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data

Reference 15

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Observation ee64c539-4453-480d-a6ce-5db3d70bc4f7 · outbound

This paper cites Suctionnet-1billion: A large- scale benchmark for suction grasping,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Suctionnet-1billion: A large- scale benchmark for suction grasping,

Reference 16

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source=pdf_text observed=2026-08-02T02:25:55.018525Z digest=sha256:69f16625b30e53884994a68a15547d02822bbecd12c94ccb9d480874c59e3a2b

Observation dfaf7457-1f99-44a1-bf1c-6522bf06a9e2 · outbound

This paper cites Multi-fingan: Generative coarse-to- fine sampling of multi-finger grasps,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Multi-fingan: Generative coarse-to- fine sampling of multi-finger grasps,

Reference 17

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Observation 23b68a2e-9a91-4aec-8ba2-1edca56d49b2 · outbound

This paper cites Adagrasp: Learning an adaptive gripper-aware grasping policy,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Adagrasp: Learning an adaptive gripper-aware grasping policy,

Reference 18

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source=pdf_text observed=2026-08-02T02:25:55.337023Z digest=sha256:11294efe31c419a02c30157f421df487beaa143ea4615318ccb464fcab08f2e5

Observation 66bb28aa-5075-4b7e-8389-5db5c0ced4d7 · outbound

This paper cites Jacquard: A large scale dataset for robotic grasp detection,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Jacquard: A large scale dataset for robotic grasp detection,

Reference 19

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Observation 08402123-5cd3-4148-b7e0-8d37d27fe950 · outbound

This paper cites Language-driven grasp detection,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Language-driven grasp detection,

Reference 20

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source=pdf_text observed=2026-08-02T02:25:55.478646Z digest=sha256:31e134696d226bc11012a35ddb1ef561ed6d613d73ad245cdd594f0e42726e20

Observation dd494717-3d38-467a-872f-cf1da2d166a5 · outbound

This paper cites Open-vocabulary affordance detection in 3d point clouds,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Open-vocabulary affordance detection in 3d point clouds,

Reference 21

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source=pdf_text observed=2026-08-02T02:25:55.629751Z digest=sha256:66cb623f12fa21f1817891a2b8f283c6fc3325f3d94e7ece749fe1363e24d97b

Observation 7382167f-f5a6-4da5-91ab-de49c429aa6d · outbound

This paper cites Open-World Object Manipulation using Pre-trained Vision-Language Models.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Open-World Object Manipulation using Pre-trained Vision-Language Models

Reference 22

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source=pdf_text observed=2026-08-02T02:25:55.766741Z digest=sha256:b29f735ddd2eb9d94f330bac0448b3a1d4f506e0a551cdbb37c7e6aa5fb4a237

Observation 8521f752-da7a-4d51-a196-6981e710dc77 · outbound

This paper cites Review of deep reinforcement learning-based object grasping: Techniques, open challenges, and recommendations,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Review of deep reinforcement learning-based object grasping: Techniques, open challenges, and recommendations,

Reference 23

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source=pdf_text observed=2026-08-02T02:25:55.888982Z digest=sha256:fc538603e5f4bda7b83957024a03d86734679cee9c58a54e9595dfef420fa159

Observation 6c841a70-0448-4154-8e68-5e869b13eff1 · outbound

This paper cites Learning for a robot: Deep reinforcement learning, imitation learning, transfer learning,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Learning for a robot: Deep reinforcement learning, imitation learning, transfer learning,

Reference 24

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source=pdf_text observed=2026-08-02T02:25:56.021711Z digest=sha256:dd42ccbbd115c9c89936dff71e2f47421ca7a572bf3a3170676dd3c1002918e4

Observation 72d9caa6-be34-4ed9-acd4-39ad99b01b33 · outbound

This paper cites Ocrtoc: A cloud-based competition and benchmark for robotic grasping and manipulation,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Ocrtoc: A cloud-based competition and benchmark for robotic grasping and manipulation,

Reference 25

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source=pdf_text observed=2026-08-02T02:25:56.073500Z digest=sha256:dbc3b18d58350d282226725ba8005239af51dd28046c526c156f73c2e93a2963

Observation 0ee53e5c-a0c5-4a4b-a4bb-8aca19f469f6 · outbound

This paper cites Lightweight language-driven grasp detection using con- ditional consistency model,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Lightweight language-driven grasp detection using con- ditional consistency model,

Reference 26

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source=pdf_text observed=2026-08-02T02:25:56.139910Z digest=sha256:a1bdcdda3f63170ba6b64c78db695aa52b7a0d4d87f558dcb95b7de902396ae8

Observation 5ad7442a-09d1-4fd7-897d-d02608eba20d · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 27

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source=pdf_text observed=2026-08-02T02:25:56.230460Z digest=sha256:22380f3d0e0a117dc7c3a3707aac50181f35a007699f9de38fe0bccde65aba3b

Observation 07291054-e128-4166-b41b-40e588a9b30c · outbound

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

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Anygrasp: Robust and efficient grasp perception in spatial and temporal domains,

Reference 28

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source=pdf_text observed=2026-08-02T02:25:56.293219Z digest=sha256:554c0b5bbd45803786b93d53963c1294e23f3bf157519eb7ae6a982bf93d7a5b

Observation 92814a9c-4eb8-4a96-994d-cfac2e87b65a · outbound

This paper cites Language-driven 6-dof grasp detection using negative prompt guidance,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Language-driven 6-dof grasp detection using negative prompt guidance,

Reference 29

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source=pdf_text observed=2026-08-02T02:25:56.366198Z digest=sha256:ab5e3e573170f23d9c8a91f3cf929f48fc098cd4d894ed0adcf698af50b35810

Observation 08c8d399-b897-42cd-bae0-ff2cc9cf77d3 · outbound

This paper cites Curobo: Parallelized collision-free robot motion generation,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Curobo: Parallelized collision-free robot motion generation,

Reference 30

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source=pdf_text observed=2026-08-02T02:25:56.483140Z digest=sha256:5702e17baf05426c7325b519f20bc3860e68d397aa412326be0a5926da7e128d

Observation 39ac8dd9-3b8b-4ef8-9e45-108b0c9dd79e · outbound

This paper cites SAGE: Bridging Semantic and Actionable Parts for GEneralizable Manipulation of Articulated Objects.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution SAGE: Bridging Semantic and Actionable Parts for GEneralizable Manipulation of Articulated Objects

Reference 31

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source=pdf_text observed=2026-08-02T02:25:56.650661Z digest=sha256:3f6f26917257da2af9f356f55a9ebb78f5efb654398566ab72408ca4a6f42c7c

Observation 21d96003-ef7a-4933-bd53-13d43843051c · outbound

This paper cites Efficient end-to-end detection of 6-dof grasps for robotic bin picking,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Efficient end-to-end detection of 6-dof grasps for robotic bin picking,

Reference 32

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source=pdf_text observed=2026-08-02T02:25:56.799052Z digest=sha256:bb93f09906f3c44237e00b0800ec423c5fe57ec790c0c2911fa006fa50bb0fdd

Observation 6e5c0c20-dd4b-4e16-b1d7-8c44849f44fc · outbound

This paper cites Semgrasp: Semantic grasp generation via language aligned discretization,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Semgrasp: Semantic grasp generation via language aligned discretization,

Reference 33

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source=pdf_text observed=2026-08-02T02:25:56.968747Z digest=sha256:05fd3b70315be8fa0de591cc169eb92baf2e7dcc6309b51bdbced0fa61e0e1c6

Observation a7a3183a-4fed-45ab-b1ed-3200da210a8f · outbound

This paper cites An end-to-end multi- dimensional perception network architecture for robotic grasp detec- tion with target edge collision-aware strategy,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution An end-to-end multi- dimensional perception network architecture for robotic grasp detec- tion with target edge collision-aware strategy,

Reference 34

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source=pdf_text observed=2026-08-02T02:25:57.086015Z digest=sha256:f1ddfe0985d677e496111e14cc4daf22ae5810f04b719a65a92d1e3e64b6146d

Observation ba9bf6fe-216c-4142-b435-79673bd832e2 · outbound

This paper cites Simulated and real robotic reach, grasp, and pick-and-place using combined reinforcement learning and traditional controls,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Simulated and real robotic reach, grasp, and pick-and-place using combined reinforcement learning and traditional controls,

Reference 35

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source=pdf_text observed=2026-08-02T02:25:57.136822Z digest=sha256:95143d7b4f135b1cb7a4167b1741e682be6b9ba0da8a0dd0748b233e93353360

Observation 8df53914-ea4e-4ce6-b2a7-5ce985b89351 · outbound

This paper cites Review of reinforcement learning for robotic grasping: Analysis and recommendations,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Review of reinforcement learning for robotic grasping: Analysis and recommendations,

Reference 36

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source=pdf_text observed=2026-08-02T02:25:57.189162Z digest=sha256:7a6f7053d3e1e1e6f798f11d41e286e1f7819f9895b9e77f4ccd7fbe67fdc8c4

Observation e1fbaf1b-375e-43d1-ae1b-10bdde41a802 · outbound

This paper cites A novel robotic grasping method for moving objects based on multi- agent deep reinforcement learning,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution A novel robotic grasping method for moving objects based on multi- agent deep reinforcement learning,

Reference 37

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source=pdf_text observed=2026-08-02T02:25:57.260164Z digest=sha256:d14b9d30a69a80dcc9b9807640ba7beea530c23e63007d270ecaaa0b67fbccb5

Observation cd433dd2-a835-4812-96f3-0931d80432a9 · outbound

This paper cites Robot grasp planning: A learning from demonstration-based approach,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Robot grasp planning: A learning from demonstration-based approach,

Reference 38

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source=pdf_text observed=2026-08-02T02:25:57.374638Z digest=sha256:e1c484ed2e7b8a52ee051500530f4d470c93ea46dd3b0318250431b81426e95d

Observation b870ca83-0576-4201-baf0-bb0ecbdea34f · outbound

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

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Grasping in the wild: Learning 6dof closed-loop grasping from low-cost demonstrations,

Reference 39

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source=pdf_text observed=2026-08-02T02:25:57.526366Z digest=sha256:21cd4ab8368b822895ab8836ec8fe65f3a0720775052000770c15e421a22c322

Observation 46f2f12b-c2a5-4427-a962-efa9cfbc1943 · outbound

This paper cites Dexgraspvla: A vision-language-action framework towards general dexterous grasping,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Dexgraspvla: A vision-language-action framework towards general dexterous grasping,

Reference 40

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source=pdf_text observed=2026-08-02T02:25:57.582545Z digest=sha256:df4cc63a005b71bd5aa34383af63e14c5e7cdd7f89cbd349f05611e02d8f1fd6

Observation bfbf8cea-36e7-4a4e-aa6c-c6ba8e311217 · outbound

This paper cites GraspGen: A Diffusion-based Framework for 6-DOF Grasping with On-Generator Training.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution GraspGen: A Diffusion-based Framework for 6-DOF Grasping with On-Generator Training

Reference 41

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source=pdf_text observed=2026-08-02T02:25:57.702817Z digest=sha256:dffa97de32898c75d99673479aaf5cc3e73379a455ebeca76be619bde56facfd

Observation 046a6f9f-a22f-4ed0-8cf8-e2e0e464e4b5 · outbound

This paper cites Gaussiangrasper: 3d language gaussian splatting for open-vocabulary robotic grasping,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Gaussiangrasper: 3d language gaussian splatting for open-vocabulary robotic grasping,

Reference 42

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source=pdf_text observed=2026-08-02T02:25:57.775880Z digest=sha256:2739688842a518362b1fe56347994249301fdb36a23717a4056efd161a1d2de5

Observation b99897ff-6166-4416-bb99-e7f225c78134 · outbound

This paper cites Benchmarking in Manipulation Research: The YCB Object and Model Set and Benchmarking Protocols.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Benchmarking in Manipulation Research: The YCB Object and Model Set and Benchmarking Protocols

Reference 43

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source=pdf_text observed=2026-08-02T02:25:57.859083Z digest=sha256:7d92ad0f631de1cb9713d84eb28f60c564a32d6e6b9413fc3942e8d9c0a3e937

Observation dd0b77b2-9375-4ef5-928f-522868353bbc · outbound

This paper cites Introducing ChatGPT,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Introducing ChatGPT,

Reference 44

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source=pdf_text observed=2026-08-02T02:25:57.939380Z digest=sha256:27cc338d42a2b58fd1fb45d22e5c5317e269e7e8bb1c49f7cfab982323f97afe

Observation 91903da2-1a11-4638-9b0e-603099c8e1e1 · outbound

This paper cites Orbit: A unified simulation framework for interactive robot learning environments,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Orbit: A unified simulation framework for interactive robot learning environments,

Reference 45

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source=pdf_text observed=2026-08-02T02:25:58.047682Z digest=sha256:05a9b64e17a067072910c540096387f110892c17f45188967b2b742610c41f47

Observation 78d020b8-4486-43ad-ab8a-de2fa2fcd8d3 · outbound

This paper cites Multi- grippergrasp: A dataset for robotic grasping from parallel jaw grippers to dexterous hands,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Multi- grippergrasp: A dataset for robotic grasping from parallel jaw grippers to dexterous hands,

Reference 46

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source=pdf_text observed=2026-08-02T02:25:58.084115Z digest=sha256:ba80e3160cc3be32d43da77be992c37850d4a2dcb42182c9cfb654c9261ed489

Observation b196a237-f469-4351-a092-f8cf1aca4399 · outbound

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

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 47

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source=pdf_text observed=2026-08-02T02:25:58.227477Z digest=sha256:82d7971cc4ddafd324de05ced41b992aa97e3fc7c480509cf5d5ac2b44264085

Observation ba982756-80f6-424e-abab-c2d8e1b3643f · outbound

This paper cites Graspmas: Zero-shot language-driven grasp detection with multi-agent system,.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Graspmas: Zero-shot language-driven grasp detection with multi-agent system,

Reference 48

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source=pdf_text observed=2026-08-02T02:25:58.372158Z digest=sha256:d0e8f5a3edfbc67b5645463c0816cc4385a8e7afc8aa80d824da71d5b64683d7

Observation 823e4fe3-0807-488b-a04d-653da6e3bc41 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution OpenVLA: An Open-Source Vision-Language-Action Model

Reference 49

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source=pdf_text observed=2026-08-02T02:25:58.451187Z digest=sha256:ad3e0c9e1c02e9c7d88115a2dbbb8856c34c256d70e4ec83149319e19d8fd267

Observation bbd75eca-1d70-4cc8-9d60-d634b6726302 · outbound

This paper cites Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 50

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source=pdf_text observed=2026-08-02T02:25:58.504157Z digest=sha256:8d8abeca0649102edefba26d22505bccb821582b13bb712a758884dfff2a4b9d

Observation 5e883cad-ea43-482d-8f5d-a4e380b1a7a8 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 51

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source=pdf_text observed=2026-08-02T02:25:58.710432Z digest=sha256:1b7e5fe8ded2299d418519f7a8d71981338013a4f18849e5528337bfb5409982

Pith citing papers

No inbound Pith citation observations are available.