Paper Citation Record · LEDGER

Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning

As of 16 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:1908.02564.

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

pith.paper-citation-record.v1
1908.02564 v1

Coverage vector

measured 20 of 20 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-14T14:44:06.290373Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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.

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Reference resolution

20 of 20 outbound references displayed

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External citation measurements

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Outbound references

Observation 29555731-5194-4420-85d0-4a0e33c8ca03 · outbound

This paper cites Advances in control of multi-functional powered upper-limb prostheses,.

Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning Advances in control of multi-functional powered upper-limb prostheses,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:06.574605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 19b6bada-daa5-4195-b3ed-62ca53a207f8 · outbound

This paper cites The role of feed-forward and feedback processes for closed-loop prosthesis control,.

Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning The role of feed-forward and feedback processes for closed-loop prosthesis control,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:06.562841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 05bc2a86-b623-4885-97de-ee5dbafd0ad9 · outbound

This paper cites Improved prosthetic hand control with concurrent use of myoelectric and inertial measurements,.

Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning Improved prosthetic hand control with concurrent use of myoelectric and inertial measurements,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:06.550392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8e4afabb-2d34-4f6e-960b-8b3d35ea20b4 · outbound

This paper cites Deep learning with convo- lutional neural networks applied to electromyography data: A resource for the classiﬁcation of movements for prosthetic hands,.

Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning Deep learning with convo- lutional neural networks applied to electromyography data: A resource for the classiﬁcation of movements for prosthetic hands,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:06.538769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 801018c3-5fbd-4bd3-baab-0e48a7984eed · outbound

This paper cites Cognitive vision system for control of dexterous pros- thetic hands: experimental evaluation,.

Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning Cognitive vision system for control of dexterous pros- thetic hands: experimental evaluation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:06.525944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8db0c107-4bb4-478b-844f-009365543ad5 · outbound

This paper cites Closed-loop control of grasping with a myoelectric hand prosthe- sis: Which are the relevant feedback variables for force control?,.

Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning Closed-loop control of grasping with a myoelectric hand prosthe- sis: Which are the relevant feedback variables for force control?,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:06.513443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f87d3ce6-5344-438d-b260-c2fe81e895ac · outbound

This paper cites Stere- ovision and augmented reality for closed-loop control of grasping in hand prostheses,.

Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning Stere- ovision and augmented reality for closed-loop control of grasping in hand prostheses,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:06.499154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4546fced-73a8-4182-a918-46691d00b8f5 · outbound

This paper cites An exploratory study on the use of convolutional neural networks for object grasp classiﬁcation,.

Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning An exploratory study on the use of convolutional neural networks for object grasp classiﬁcation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:06.483843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d5e4cb98-3b64-46f3-86c0-86c3bfffea66 · outbound

This paper cites Deep learning-based artiﬁcial vision for grasp classiﬁcation in myoelectric hands,.

Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning Deep learning-based artiﬁcial vision for grasp classiﬁcation in myoelectric hands,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:06.470988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4dfbf5d2-98ff-4b06-9006-07adbd413c15 · outbound

This paper cites Megane Pro: myo-electricity, visual and gaze tracking integration as a resource for dexterous hand prosthetics,.

Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning Megane Pro: myo-electricity, visual and gaze tracking integration as a resource for dexterous hand prosthetics,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:06.458663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8d37fb2f-c949-475e-a6bc-4c53b4a773f6 · outbound

This paper cites Sensor fusion and computer vision for context-aware control of a multi degree-of-freedom prosthesis,.

Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning Sensor fusion and computer vision for context-aware control of a multi degree-of-freedom prosthesis,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:06.446331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c0f500e5-3a0f-464a-86f2-bbfda8dc6f0a · outbound

This paper cites Convolutional networks for images, speech, and time series,.

Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning Convolutional networks for images, speech, and time series,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:06.432990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5655fd35-1ac9-40a8-af8c-41311b0207fd · outbound

This paper cites PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.

Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T14:44:06.264293Z

Source-reported events for the cited work

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Observation a3329d37-c8a9-48a4-9c18-ce03c2675d33 · outbound

This paper cites A large-scale hierarchical multi- view rgb-d object dataset,.

Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning A large-scale hierarchical multi- view rgb-d object dataset,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:06.419183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2baca9ce-7812-4ed0-b74a-953ba101c902 · outbound

This paper cites Washington RGB-D dataset.

Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning Washington RGB-D dataset

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:06.406323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 12676349-e3b1-4e91-bd10-043c1cb6a7bb · outbound

This paper cites BigBIRD ((Big) Berkeley Instance Recognition Dataset.

Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning BigBIRD ((Big) Berkeley Instance Recognition Dataset

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:06.392438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dc03d89b-9548-4336-ad74-02365725a400 · outbound

This paper cites an unresolved cited work.

Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:44:06.377887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ba998ad1-a84b-4e64-a253-24a63906cf52 · outbound

This paper cites Imagenet classiﬁcation with deep convolutional neural networks,.

Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning Imagenet classiﬁcation with deep convolutional neural networks,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T14:44:06.283102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd1f34ff-8418-49cc-997f-c92567f5e4b5 · outbound

This paper cites Analysis of deep convolutional neural network archi- tectures,.

Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning Analysis of deep convolutional neural network archi- tectures,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:06.354664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f2ace2f9-fdc4-42c2-b1de-be8f394cbf15 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift,.

Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning Batch normalization: Accelerating deep network training by reducing internal covariate shift,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:06.341392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.