Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:44:06.290373Z
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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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
Reference resolution
20 of 20 outbound references displayed
- verified exact0
- verified fuzzy17
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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
Unavailable: canonical work link unavailable.
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.