Paper Citation Record · LEDGER

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning

As of 9 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2508.00491.

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

pith.paper-citation-record.v1
2508.00491 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:11:47.484505Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

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.

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

43 of 43 outbound references displayed

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verified fuzzy32
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a73cb743-feb3-4aaa-a7d2-b50cd2429994 · outbound

This paper cites How to train your robot with deep reinforcement learning: lessons we have learned,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning How to train your robot with deep reinforcement learning: lessons we have learned,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T10:11:47.267701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c1a760f-b2d7-4311-8980-9bfedee6b2f7 · outbound

This paper cites Learning controllers for continuum soft manipulators: Impact of modeling and looming challenges,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Learning controllers for continuum soft manipulators: Impact of modeling and looming challenges,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:48.319266Z

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.

Observation 84e01da0-5beb-4033-babe-2781d94ce899 · outbound

This paper cites A narrative review: current upper limb prosthetic options and design,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning A narrative review: current upper limb prosthetic options and design,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:48.303328Z

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.

Observation a8c1e39e-5d85-4563-b75f-0d67f97b8d54 · outbound

This paper cites The hannes hand prosthesis replicates the key biological properties of the human hand,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning The hannes hand prosthesis replicates the key biological properties of the human hand,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:48.287232Z

Source-reported events for the cited work

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Observation 8bab167b-e9e2-4db7-b2c6-f3e5177f0f37 · outbound

This paper cites Myoelectric control systems—a survey,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Myoelectric control systems—a survey,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:48.270365Z

Source-reported events for the cited work

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Observation f5ebcae2-5561-4e86-8ad1-d80838647650 · outbound

This paper cites A review of myoelectric control for prosthetic hand manipulation,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning A review of myoelectric control for prosthetic hand manipulation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:48.254682Z

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.

Observation 0deda50b-436a-49ee-8930-132b88b45bb4 · outbound

This paper cites Extending mode switching to multiple degrees of freedom in hand prosthesis control is not efficient,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Extending mode switching to multiple degrees of freedom in hand prosthesis control is not efficient,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:48.239306Z

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.

Observation 8ec0b3e1-eb89-4f05-8e8a-a021a8260a2b · outbound

This paper cites Upper-limb prosthetics: critical factors in device abandonment,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Upper-limb prosthetics: critical factors in device abandonment,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:48.223276Z

Source-reported events for the cited work

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Observation 72b431e6-0506-4601-a126-3d625bcd0f63 · outbound

This paper cites Hannes prosthesis control based on regression machine learning algorithms,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Hannes prosthesis control based on regression machine learning algorithms,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:48.207511Z

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.

Observation 72cda01c-58c3-43a7-9902-c243fe01c736 · outbound

This paper cites Preliminary Assess- ment of Two Simultaneous and Proportional Myocontrol Methods for 3-DoFs Prostheses Using Incremental Learning,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Preliminary Assess- ment of Two Simultaneous and Proportional Myocontrol Methods for 3-DoFs Prostheses Using Incremental Learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:48.191693Z

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.

Observation 33833169-034d-4617-a6f6-2c163f26c59f · outbound

This paper cites Electromyogram pattern recognition for control of powered upper-limb prostheses: state of the art and challenges for clinical use.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Electromyogram pattern recognition for control of powered upper-limb prostheses: state of the art and challenges for clinical use

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:48.174991Z

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.

Observation 804ec771-c768-473a-b337-f195007d9ce5 · outbound

This paper cites Causes of performance degradation in non-invasive electromyographic pattern recognition in upper limb prostheses,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Causes of performance degradation in non-invasive electromyographic pattern recognition in upper limb prostheses,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:48.156796Z

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.

Observation 18390b84-dc49-4e0b-82ee-e82a747dd695 · outbound

This paper cites Active upper limb prostheses: A review on current state and upcoming breakthroughs,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Active upper limb prostheses: A review on current state and upcoming breakthroughs,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:48.139992Z

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.

Observation 15216333-9afc-48e3-8589-97f92359be68 · outbound

This paper cites Shared human–robot proportional control of a dexterous myoelectric prosthesis,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Shared human–robot proportional control of a dexterous myoelectric prosthesis,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:48.123028Z

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.

Observation 9bf881d0-d845-4375-a7e2-aed527cbba00 · outbound

This paper cites A multimodal intention detection sensor suite for shared autonomy of upper-limb robotic prostheses,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning A multimodal intention detection sensor suite for shared autonomy of upper-limb robotic prostheses,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:48.104483Z

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.

Observation d43e83b5-2cf1-4ee3-ae0c-530787837806 · outbound

This paper cites Toward human-in-the-loop shared control for upper-limb prostheses: a sys- tematic analysis of state-of-the-art technologies,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Toward human-in-the-loop shared control for upper-limb prostheses: a sys- tematic analysis of state-of-the-art technologies,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:48.087784Z

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.

Observation c0540039-694b-4a58-8df1-52b780fa3cd3 · outbound

This paper cites Semi-autonomous control of prosthetic hands based on multimodal sensing, human grasp demonstration and user intention,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Semi-autonomous control of prosthetic hands based on multimodal sensing, human grasp demonstration and user intention,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:48.070853Z

Source-reported events for the cited work

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Observation 79c5c693-36aa-49da-a995-d242d24a1533 · outbound

This paper cites Continuous semi-autonomous prosthesis control using a depth sensor on the hand,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Continuous semi-autonomous prosthesis control using a depth sensor on the hand,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:48.054005Z

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.

Observation 1db72ba4-8b3e-4d9d-8fcc-b15103667968 · outbound

This paper cites Continuous wrist control on the hannes prosthesis: a vision-based shared autonomy framework,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Continuous wrist control on the hannes prosthesis: a vision-based shared autonomy framework,

Reference 19

Resolution: verified exact; raw_fallback, observed 2026-08-06T10:11:47.754441Z

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.

Observation 8b91a5b7-9d94-453e-8886-9e17a59f5850 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:48.036949Z

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.

Observation cded520e-0943-4eee-8e5d-630131bd03cf · outbound

This paper cites Rt-2: Vision-language-action models transfer web knowledge to robotic control,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Rt-2: Vision-language-action models transfer web knowledge to robotic control,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T10:11:47.372416Z

Source-reported events for the cited work

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Observation 52988d63-9837-4906-8e3d-0b67b519c416 · outbound

This paper cites Open x-embodiment: Robotic learning datasets and rt-x models,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Open x-embodiment: Robotic learning datasets and rt-x models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:48.010329Z

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.

Observation 667a6632-bb86-41ae-981c-49519158ef93 · outbound

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

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning OpenVLA: An Open-Source Vision-Language-Action Model

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T10:11:47.382739Z

Source-reported events for the cited work

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Observation c9e8315a-733a-414c-a4c6-2f040681b95d · outbound

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

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T10:11:47.387858Z

Source-reported events for the cited work

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Observation 590c331a-4b23-424e-aa04-0571a477fa39 · outbound

This paper cites Affordance-based robot manipulation with flow matching,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Affordance-based robot manipulation with flow matching,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T10:11:47.393248Z

Source-reported events for the cited work

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Observation d19d2e37-374d-47b5-b61a-2344fbf90658 · outbound

This paper cites Denoising diffusion probabilistic models,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Denoising diffusion probabilistic models,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T10:11:47.398213Z

Source-reported events for the cited work

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Observation 195ab7ba-5e25-41ef-b6c2-20315a5b4ea4 · outbound

This paper cites Deep imitation learning for complex manipulation tasks from virtual reality teleoperation,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Deep imitation learning for complex manipulation tasks from virtual reality teleoperation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:47.983917Z

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.

Observation e0db0ea8-d33a-4d8d-a62d-e10b51120a10 · outbound

This paper cites On Bringing Robots Home.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning On Bringing Robots Home

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T10:11:47.408029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bab271cc-9f21-44dc-9afb-1e4160f510c4 · outbound

This paper cites Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T10:11:47.413606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0f0fe6e-a981-4415-90e5-168593bb8117 · outbound

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

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Cognitive vision system for control of dexterous pros- thetic hands: experimental evaluation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:47.967858Z

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.

Observation 4af89e8d-ae0c-4e76-ad83-f1b0f4a0895f · outbound

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

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Sensor fusion and computer vision for context-aware control of a multi degree-of-freedom prosthesis,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:47.951420Z

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.

Observation b1ec2ea9-285a-4a7b-8f25-b050e184a038 · outbound

This paper cites A semiau- tonomous control strategy based on computer vision for a hand–wrist prosthesis,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning A semiau- tonomous control strategy based on computer vision for a hand–wrist prosthesis,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:47.935253Z

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.

Observation 0e09fbe2-c0e9-4357-88cc-027f0dae26c1 · outbound

This paper cites Affordance seg- mentation using tiny networks for sensing systems in wearable robotic devices,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Affordance seg- mentation using tiny networks for sensing systems in wearable robotic devices,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:47.919257Z

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.

Observation a78c7520-1e49-4be8-aaad-185b59162bcc · outbound

This paper cites Grasp pre-shape selection by synthetic training: Eye-in- hand shared control on the hannes prosthesis,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Grasp pre-shape selection by synthetic training: Eye-in- hand shared control on the hannes prosthesis,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:47.903251Z

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.

Observation 9245563d-1b8c-4e1e-8f30-43a76303710b · outbound

This paper cites Incorporation of the intended task into a vision-based grasp type predictor for multi-fingered robotic grasping,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Incorporation of the intended task into a vision-based grasp type predictor for multi-fingered robotic grasping,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:47.885880Z

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.

Observation e05c4ed9-9087-4efe-b564-c0f3036c45fa · outbound

This paper cites Towards creating a deployable grasp type probability estimator for a prosthetic hand,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Towards creating a deployable grasp type probability estimator for a prosthetic hand,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:47.868227Z

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.

Observation b4bde965-cb4e-421a-8895-dd21d3d5cbd5 · outbound

This paper cites Grasping with humanoid hands based on in-hand vision and hardware-accelerated cnns,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Grasping with humanoid hands based on in-hand vision and hardware-accelerated cnns,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:47.849002Z

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.

Observation fee0b015-086e-4b33-bf22-651917c13f31 · outbound

This paper cites Viiat- hand: A reach-and-grasp restoration system integrating voice interac- tion, computer vision, auditory and tactile feedback for non-sighted amputees,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Viiat- hand: A reach-and-grasp restoration system integrating voice interac- tion, computer vision, auditory and tactile feedback for non-sighted amputees,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:47.832435Z

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.

Observation 20712aa0-968a-4c20-9b52-3ed990b5dd74 · outbound

This paper cites Mul- timodal fusion of emg and vision for human grasp intent inference in prosthetic hand control,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Mul- timodal fusion of emg and vision for human grasp intent inference in prosthetic hand control,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:47.815554Z

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.

Observation 50eb9825-a1ec-442a-89e4-3a5bb4c976aa · outbound

This paper cites Bring Your Own Grasp Generator: Leveraging Robot Grasp Generation for Prosthetic Grasping.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Bring Your Own Grasp Generator: Leveraging Robot Grasp Generation for Prosthetic Grasping

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T10:11:47.467889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 587fa7e5-7705-4562-a8e1-3c15ffd997b3 · outbound

This paper cites Development of a 2-dofs actuated wrist for enhancing the dexterity of myoelectric hands,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Development of a 2-dofs actuated wrist for enhancing the dexterity of myoelectric hands,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:47.799175Z

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.

Observation 479085a1-3f4c-4911-b1fa-69f23a5bce7f · outbound

This paper cites Benchmarking in manipulation research: Using the yale- cmu-berkeley object and model set,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Benchmarking in manipulation research: Using the yale- cmu-berkeley object and model set,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:11:47.781907Z

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.

Observation 5b880666-bd4b-4a3d-bf8a-4d47381dcf52 · outbound

This paper cites Deep residual learning for image recognition,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Deep residual learning for image recognition,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T10:11:47.484505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.