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Paper Citation Record · LEDGER

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience

As of 20 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:2412.11337.

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

pith.paper-citation-record.v1
2412.11337 v1

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:05:13.566546Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

78 of 78 outbound references displayed

  • verified exact2
  • verified fuzzy47
  • unresolved29
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 072ded75-639b-4552-bf78-1ada72fb8bd6 · outbound

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

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience OpenVLA: An Open-Source Vision-Language-Action Model

Reference 1

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no resolver link, observed 2026-08-11T15:05:13.169572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ce788729-3152-4c03-b513-db31a68808d6 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 2

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no resolver link, observed 2026-08-11T15:05:13.175421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.175421Z digest=sha256:0ff76cc0b12c7be6ca82a4183c33dcf5ecc150849888f1f37e7575421eabc1d2

Observation f2c58ba5-3a33-47d5-8fd8-6a619ca2441a · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience RT-1: Robotics Transformer for Real-World Control at Scale

Reference 3

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no resolver link, observed 2026-08-11T15:05:13.181264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.181264Z digest=sha256:5b2e685471f62d8b8ffaa36af584096de68c21a616c8efc076435f9106a9722b

Observation 1f0adb87-3ced-41f3-a9cd-ff28734daedf · outbound

This paper cites Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 4

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no resolver link, observed 2026-08-11T15:05:13.187367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c6a36991-cda6-4fb3-993b-513a6c4d5a99 · outbound

This paper cites Creative Robot Tool Use with Large Language Models.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Creative Robot Tool Use with Large Language Models

Reference 5

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no resolver link, observed 2026-08-11T15:05:13.192974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.192974Z digest=sha256:4254986ca87137a0a0db7f232eb1a8620ad53e63b18eb38520ce4512fd3689f3

Observation 91dadc45-94ed-41ad-b5d2-65fafcaa45d1 · outbound

This paper cites Generalizable Long-Horizon Manipulations with Large Language Models.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Generalizable Long-Horizon Manipulations with Large Language Models

Reference 6

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unresolved
no resolver link, observed 2026-08-11T15:05:13.199318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c8dc8ad3-7fb6-492e-b97b-9221bf6c598f · outbound

This paper cites Prompt, plan, perform: Llm-based humanoid control via quantized imitation learning.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Prompt, plan, perform: Llm-based humanoid control via quantized imitation learning

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.205628Z digest=sha256:997685f69067c14b4e503526e6ac0053a9528b89f8aad49d47aefd2daec128eb

Observation a2b61eee-4956-4d66-9817-ad4d022d968c · outbound

This paper cites Gpt-4v (ision) for robotics: Multimodal task planning from human demonstration.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Gpt-4v (ision) for robotics: Multimodal task planning from human demonstration

Reference 8

Resolution
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no resolver link, observed 2026-08-11T15:05:13.211740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.211740Z digest=sha256:43e2df0da5e1076acdd596189dd0c7406ba38adda597ffd2bba68bee2a2b09f4

Observation be34e399-abe7-4125-bb6b-3ccd21794766 · outbound

This paper cites Chatgpt empowered long-step robot control in various environments: A case application.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Chatgpt empowered long-step robot control in various environments: A case application

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.216764Z digest=sha256:158ed5b3c8f5a2c10f59f1d53abee8253c1a968a9193062babf240f9820bd40e

Observation e9d7df57-5995-4c5a-b988-d89cdd063ca6 · outbound

This paper cites Integrated task and motion planning.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Integrated task and motion planning

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 95b5f635-435a-4f15-bc9f-7686309290ac · outbound

This paper cites Language Conditioned Multi-Finger Dexterous Manipulation Enabled by Physical Compliance and Switching of Controllers.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Language Conditioned Multi-Finger Dexterous Manipulation Enabled by Physical Compliance and Switching of Controllers

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.226557Z digest=sha256:be0f93748fd8435e887968f490d36440892a9a004ac56975f1ece4c43528d58b

Observation 629fe1a6-40fe-44db-a090-65a10ee53d8f · outbound

This paper cites On the Feasibility of A Mixed-Method Approach for Solving Long Horizon Task-Oriented Dexterous Manipulation.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience On the Feasibility of A Mixed-Method Approach for Solving Long Horizon Task-Oriented Dexterous Manipulation

Reference 12

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a13e7aba-7f95-4c7f-b7c5-120f0e586453 · outbound

This paper cites Func- tional anatomy of reaching and visuomotor learning: a positron emis- sion tomography study.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Func- tional anatomy of reaching and visuomotor learning: a positron emis- sion tomography study

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5d3899bb-b5a5-4c7c-b5b9-e7a8763f768f · outbound

This paper cites Grafton, Andrew H.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Grafton, Andrew H

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.242642Z digest=sha256:0e0a1938705f4a13ee3bca4e80f5390e3c3f47fe03b18bf1a1a366d9af95f486

Observation 90a65268-578e-4ed3-93ea-c5f122ee839a · outbound

This paper cites A comparison of frontoparietal fmri activation during anti-saccades and anti-pointing.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience A comparison of frontoparietal fmri activation during anti-saccades and anti-pointing

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cd468c10-17c6-4c59-b1dc-8e7d63124a80 · outbound

This paper cites Topographical layout of hand, eye, calculation, and language-related areas in the human parietal lobe.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Topographical layout of hand, eye, calculation, and language-related areas in the human parietal lobe

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.740860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f5deb687-49ad-4a83-9760-dee900a49189 · outbound

This paper cites Functional organization of human intraparietal and frontal cortex for attending, looking, and pointing.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Functional organization of human intraparietal and frontal cortex for attending, looking, and pointing

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.724562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0af60120-76ac-4e1b-9581-611fbfc0d2c9 · outbound

This paper cites Spatialvlm: Endowing vision-language models with spatial reasoning capabilities.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Spatialvlm: Endowing vision-language models with spatial reasoning capabilities

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.709291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a9ef05aa-a45b-49a0-9a9f-fdbb10b981b2 · outbound

This paper cites VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

Reference 19

Resolution
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no resolver link, observed 2026-08-11T15:05:13.268369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.268369Z digest=sha256:a839fa20fdf2578915348b85c0f4b42a6967bf506f19968d6702b1fbe4f8ac94

Observation 147ddf82-ee92-4134-9ab8-0b522b8335e0 · outbound

This paper cites The prehensile movements of the human hand.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience The prehensile movements of the human hand

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 671221f6-ae50-48aa-a6a9-b59ab11aae7a · outbound

This paper cites Passive and active closures by constraining mechanisms.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Passive and active closures by constraining mechanisms

Reference 21

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.278507Z digest=sha256:c4764e8516289f6b75d649a7900c6f5f6c1b64dffc99ecb507980a8c44428386

Observation c0f4ae09-4f6e-4113-bdca-c4b8d9904667 · outbound

This paper cites Task-grasping from a demonstrated human strategy.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Task-grasping from a demonstrated human strategy

Reference 22

Resolution
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no resolver link, observed 2026-08-11T15:05:13.283055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.283055Z digest=sha256:b2251a314313ae3349dd7154c24af26bf7053bddcee2f078b2ca8c4f4fc49d62

Observation cb718d9a-030d-47f7-93a5-d614e34fc8c7 · outbound

This paper cites Grasp-type recognition leveraging object affordance.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Grasp-type recognition leveraging object affordance

Reference 23

Resolution
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no resolver link, observed 2026-08-11T15:05:13.287976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.287976Z digest=sha256:7d81da5daa2f2c5a392c2f970be612e293d2ced6d62fb97861061c8d00ce9b52

Observation 08321499-af57-4bce-bde0-794b6ced8ba4 · outbound

This paper cites Text-driven object affordance for guiding grasp- type recognition in multimodal robot teaching.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Text-driven object affordance for guiding grasp- type recognition in multimodal robot teaching

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.292716Z digest=sha256:e0db8c19a25fdc1ce255d904a4021904b0c89b5310a0950b7fa7dcb2d87e55ef

Observation f509cf72-008c-47cf-93b2-c90eb6ac4cbe · outbound

This paper cites Modulation of primary motor cortex outputs from ventral premotor cortex during visually guided grasp in the macaque monkey.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Modulation of primary motor cortex outputs from ventral premotor cortex during visually guided grasp in the macaque monkey

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.618783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.297409Z digest=sha256:aab5f9851919a87d3cd0999dd476bcf2fdf6ba5408fc5e814f1ca5ea0e56eaae

Observation c95576f0-13f0-4722-99fb-f6300482d19c · outbound

This paper cites Object representation in the ventral premotor cortex (area f5) of the monkey.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Object representation in the ventral premotor cortex (area f5) of the monkey

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.602545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8f7fd4da-89a0-4cb9-9559-11a9b94c6848 · outbound

This paper cites Neural mechanisms of visual guidance of hand action in the parietal cortex of the monkey.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Neural mechanisms of visual guidance of hand action in the parietal cortex of the monkey

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.586190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.306915Z digest=sha256:a7f8f505f3650568c68bc5b4cd4a6ba23276a15ab22956c11f8859b3e6429894

Observation f4ce1062-1fae-41c9-94a1-f764ac4cd01d · outbound

This paper cites Cortical connections of the macaque anterior intraparietal (aip) area.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Cortical connections of the macaque anterior intraparietal (aip) area

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.569415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.311913Z digest=sha256:ebdd6c16e4cf35b99c4064b53136dfa05acb69f65c23f18260de7f20d9c3bb7e

Observation bff5c4dc-1f0e-4f7c-b4f1-688202bce6f5 · outbound

This paper cites Separate visual pathways for perception and action.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Separate visual pathways for perception and action

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T15:05:13.316689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.316689Z digest=sha256:83f539e634dd67218939be13f0f37b18fed0793ace20cc5001fa4f868697c4f3

Observation e11fe65d-74a1-405a-a25c-ed52d8947ccf · outbound

This paper cites Neural activity in primary motor and dorsal premotor cortex in reaching tasks with the contralateral versus ipsilateral arm.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Neural activity in primary motor and dorsal premotor cortex in reaching tasks with the contralateral versus ipsilateral arm

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.540461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.322001Z digest=sha256:cde47d733825ae14ca39859ca0f77af72f4a2f72c7fac0d84aed943a3ce38cbb

Observation 022eb1f6-fcea-490e-be73-e481f4437ba3 · outbound

This paper cites A fronto-parietal network for rapid visual information processing: a pet study of sustained attention and working memory.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience A fronto-parietal network for rapid visual information processing: a pet study of sustained attention and working memory

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.524676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.327702Z digest=sha256:6d1abca3e655dedc6c6c84b320ffb0f1066b0f983122cad15e9337c086753b2d

Observation 5256455b-c26f-4cbe-8018-44019d6c96ba · outbound

This paper cites Maintain- ing internal representations: the role of the human superior parietal lobe.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Maintain- ing internal representations: the role of the human superior parietal lobe

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.509342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.332586Z digest=sha256:b7a7a78d87145f47b5645a80312b60ae7af94481d5a1d005e58a686149ebcb47

Observation 5f9c86ab-212d-48e6-b3e9-252ecff6890c · outbound

This paper cites Functional anatomy of pointing and grasping in humans.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Functional anatomy of pointing and grasping in humans

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.493521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.337616Z digest=sha256:a7d2082265a1c0b056527b7b77368772d78e1f00ccb9b63224bc2313f287d654

Observation 1105f21b-566b-47a5-98ac-6a3a1c61b39a · outbound

This paper cites Roles of glabrous skin receptors and sensorimotor memory in automatic control of precision grip when lifting rougher or more slippery objects.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Roles of glabrous skin receptors and sensorimotor memory in automatic control of precision grip when lifting rougher or more slippery objects

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.477515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.343000Z digest=sha256:008646e10cd6bab3f8ff0ea4271852e7b23c03918d2367a70def919f0b50da64

Observation 0e3e6ffe-244c-4cc3-a1b5-db3323db4d26 · outbound

This paper cites Independence of perceptual and sensorimotor predictions in the size–weight illusion.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Independence of perceptual and sensorimotor predictions in the size–weight illusion

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.461393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.348063Z digest=sha256:428ad436c880ec0d603f5489228cc7fad1a44c06ca0a3e76bd7c4895d35fe4d4

Observation 145a59f6-a556-4413-ba9a-8d40d2092351 · outbound

This paper cites Semantic constraints to represent common sense required in household actions for multimodal learning-from-observation robot.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Semantic constraints to represent common sense required in household actions for multimodal learning-from-observation robot

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.445529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.352982Z digest=sha256:790bf782487649bb01d3d31dad70e4216b64fb045b97955a5e845254821ff7d3

Observation e077c779-3020-4fd7-b1c8-64553e4f0c0d · outbound

This paper cites A learning-from-observation framework: One-shot robot teaching for grasp-manipulation-release household operations.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience A learning-from-observation framework: One-shot robot teaching for grasp-manipulation-release household operations

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.428991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.357764Z digest=sha256:b8c87f176cb0b747aefefa50dfd46e377a2c5c433c9a66f8514d8ce9f5e1a3b6

Observation 84861748-e63d-4d19-8fa2-6860038c838d · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Octo: An Open-Source Generalist Robot Policy

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T15:05:13.362745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.362745Z digest=sha256:aa63b269e7187deca7112db93a9fe740f64eb0e0ba2d51430fc70e7eee5b599d

Observation 48d2070e-2f23-4c90-b1c7-c4208ccc80bc · outbound

This paper cites Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T15:05:13.368868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.368868Z digest=sha256:6d5f732bdb866896d258fbb6738a3ce188a85c7c0ba0e6e21d92a376f1821454

Observation d37c17d4-617b-45d1-b59f-629bc7c62840 · outbound

This paper cites Importance of cutaneous feedback in maintaining a secure grip during manipulation of hand-held objects.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Importance of cutaneous feedback in maintaining a secure grip during manipulation of hand-held objects

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.413688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.374351Z digest=sha256:db5b5b36ef04b46710fd8c09f88e933dfcf2c635a8befb60d8d02a11bfaf7fc7

Observation 42b49f52-89c2-485a-9358-00e4863d6f74 · outbound

This paper cites Selective deficits of grip force control during object manipulation in patients with reduced sensibility of the grasping digits.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Selective deficits of grip force control during object manipulation in patients with reduced sensibility of the grasping digits

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.398129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.379347Z digest=sha256:8c27d2fa89f98d57d1055f7ef44c3a4ae1122c1c1f8a50cc3648045bc9e7f39e

Observation ca4da4b6-bc8a-4efb-8c7d-d2983f7578f8 · outbound

This paper cites The effects of digital anesthesia on force control using a precision grip.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience The effects of digital anesthesia on force control using a precision grip

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.381967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.384168Z digest=sha256:d4f444be0a1f940f9b21c41da7c67459fc6df3003c0fb9b9f71e301a93f21235

Observation a2f862c5-064c-4052-8ba1-575aea8f7e05 · outbound

This paper cites A fronto-parietal circuit for object manipulation in man: evidence from an fmri-study.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience A fronto-parietal circuit for object manipulation in man: evidence from an fmri-study

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.366232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.388732Z digest=sha256:864753742f51fa71490ab86b82f5521f150ab1cf668416c1e315f69148df31ae

Observation c5a9e1c4-df7f-4909-b77f-a9f5ad2b8562 · outbound

This paper cites Learning robot in-hand manipulation with tactile features.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Learning robot in-hand manipulation with tactile features

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.349772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.393682Z digest=sha256:96877746e916412a7b7c8814ccbea0f9135275498c0c7d3fb9043c6322bdc30b

Observation 3a8278a5-2490-4fb1-a86e-772cefdc709d · outbound

This paper cites Learning Time-Optimal and Speed-Adjustable Tactile In-Hand Manipulation.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Learning Time-Optimal and Speed-Adjustable Tactile In-Hand Manipulation

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-11T15:05:13.783682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.398410Z digest=sha256:37c65bf88c7e49c05d16eaaa4a38de352b9838cf4a6d53fb2973012ec608aafc

Observation f79d3348-1cd8-4c49-8fbf-9f69a9f28126 · outbound

This paper cites Activation in the ipsilateral posterior parietal cortex during tool use: a pet study.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Activation in the ipsilateral posterior parietal cortex during tool use: a pet study

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.332930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.403278Z digest=sha256:22fc396439976dba654be56760547bb77a70628410e69a39d46a014cb2064fbf

Observation b35a5d5d-68d9-4754-9e07-15843fbc8ca5 · outbound

This paper cites Learning dexterous in-hand manipulation.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Learning dexterous in-hand manipulation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.317172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.407859Z digest=sha256:26d1bfb41717a882a23523f2146440e141cd40cc23e8452371cc0d4558aaa616

Observation e50ca2c6-e76b-488d-b2c4-b0df16275364 · outbound

This paper cites Dextreme: Transfer of agile in-hand manipulation from simulation to reality.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Dextreme: Transfer of agile in-hand manipulation from simulation to reality

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.302003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.412528Z digest=sha256:da6026ce99a981892ba33d25d602c868f9131dbe2ff5694daf05b0cb5a6668cc

Observation b20bb505-54ef-478e-90b5-ec718cb279dc · outbound

This paper cites Rotating without Seeing: Towards In-hand Dexterity through Touch.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Rotating without Seeing: Towards In-hand Dexterity through Touch

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T15:05:13.417134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.417134Z digest=sha256:bece9d613dca9b309668b8c5749e28a8815430b4e76b301221ac88d085357743

Observation 6f427ebe-1eb9-4ee8-8aca-061fae5d58b0 · outbound

This paper cites A system for general in-hand object re-orientation.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience A system for general in-hand object re-orientation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.286249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.422292Z digest=sha256:e96efeb88d041111b475e11a123e27cac1517e23d00f81ef2d40813ef024ff8a

Observation bc3b19ba-3c4c-4070-b4ee-1813acceec08 · outbound

This paper cites In-hand object rotation via rapid motor adaptation.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience In-hand object rotation via rapid motor adaptation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.270440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.427040Z digest=sha256:c0e5e58814c0ceef6d7e2ef14bb716414ce2610b2e10328f9712f23c6b4a634f

Observation ab3a22fa-5d8b-4322-90ba-36a543c9fda1 · outbound

This paper cites General in-hand object rotation with vision and touch.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience General in-hand object rotation with vision and touch

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.253730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.432084Z digest=sha256:66e501a2543be0b74a8eb38a43eea163df3034b964ed1ed55ed2c16b2106924c

Observation dcd608ae-a1b4-475c-9f99-583ae8b46f2a · outbound

This paper cites Dexterous imitation made easy: A learning-based framework for efficient dexterous manipulation.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Dexterous imitation made easy: A learning-based framework for efficient dexterous manipulation

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.236898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.436950Z digest=sha256:44bf22f3fba5495f03678ccd51ed691fafdce8d15003094c5acb686e686f6240

Observation 180cdf4c-b766-4081-aae4-9a9c3e0905b3 · outbound

This paper cites Solving Rubik's Cube with a Robot Hand.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Solving Rubik's Cube with a Robot Hand

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T15:05:13.442154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.442154Z digest=sha256:ab3df89c990357a63e971a8606e92e7029ab97fdde699991c6630f099ac8f352

Observation fbefc4b6-fea2-468d-a028-63ff4e87c598 · outbound

This paper cites Towards human-level bimanual dexterous manip- ulation with reinforcement learning.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Towards human-level bimanual dexterous manip- ulation with reinforcement learning

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.219939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.447479Z digest=sha256:099e76926b90d85e123b838db00d376a66e6a549f79a1703d6a93543843eaeeb

Observation 19eb5659-6e51-43a8-ad87-53303d6c796f · outbound

This paper cites Optimal control with learned local models: Application to dexterous manipulation.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Optimal control with learned local models: Application to dexterous manipulation

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.204663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.452602Z digest=sha256:3b5415390ddf622c604a237a6a2f6aa99b2776567181a3d958e4028e3300cf99

Observation af10b734-a65e-4ba0-9682-80f7d893a8eb · outbound

This paper cites Interactive learning for multi- finger dexterous hand: A model-free hierarchical deep reinforcement learning approach.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Interactive learning for multi- finger dexterous hand: A model-free hierarchical deep reinforcement learning approach

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.188491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.457647Z digest=sha256:be7ef277e2978a5f3a79189ae90b1234bf40884b26556cc8aef0372b8e6cda19

Observation 3cd16134-e39c-41c3-93bd-2b9eaf668459 · outbound

This paper cites Task-oriented tool manipulation with robotic dexterous hands: A knowledge graph approach from fingers to func- tionality.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Task-oriented tool manipulation with robotic dexterous hands: A knowledge graph approach from fingers to func- tionality

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.171533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.462740Z digest=sha256:7a24bf59fcea4cc7a13d81f87750b455f4abc2bf91622fce7c7f32f3d99f50db

Observation 05c3b037-39e7-4a97-9153-c57f42dbc931 · outbound

This paper cites Reset- free reinforcement learning via multi-task learning: Learning dexterous manipulation behaviors without human intervention.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Reset- free reinforcement learning via multi-task learning: Learning dexterous manipulation behaviors without human intervention

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.153332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.467488Z digest=sha256:0ec89356064aa072cbc1f2f83778971a367598e8e510a3445bf3f8a928d15e92

Observation 2124834a-016e-41a5-ae1f-a991f03cf300 · outbound

This paper cites Apricot: Action primitives based on contact-state transition for in-hand tool manip- ulation.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Apricot: Action primitives based on contact-state transition for in-hand tool manip- ulation

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.136285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.472746Z digest=sha256:82ee0e3f5625488ae10ad6ef6df4507f6105bf318cb0a283db8ed060e5d64fbe

Observation 1c8dcd36-ddfa-480d-955e-569fac206741 · outbound

This paper cites Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-11T15:05:13.478004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.478004Z digest=sha256:a82fe311e3fbcaa0175ce62cebd4ff2cf2aa7a168056db54754bf3ad4513b5d6

Observation 8420a2a1-4a98-4751-9224-e561a891946d · outbound

This paper cites VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T15:05:13.483271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.483271Z digest=sha256:b926a9897820594528a68de03603531c8438b705e94147e8b79fdbe765d5c36d

Observation 208c25ad-4c9b-4061-8f94-7dba7d0ac407 · outbound

This paper cites DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-11T15:05:13.488211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.488211Z digest=sha256:e00cd77709e068ee6d33a68efdc22656fbb2f55a8b3ddf35f25f248ad4cd69fd

Observation ba72bff0-cbe6-43e2-b281-0b7f1842306a · outbound

This paper cites Nimbro avatar: Interactive immersive telepresence with force-feedback telemanipulation.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Nimbro avatar: Interactive immersive telepresence with force-feedback telemanipulation

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.119158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.492964Z digest=sha256:bc70962a1b6854bb47dde76a3daae6b890b5f24c7464672e3a41e34f355a0f28

Observation dc52e15a-3fa5-42d0-b381-684b36f6f861 · outbound

This paper cites A glove-based system for studying hand-object manipulation via joint pose and force sensing.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience A glove-based system for studying hand-object manipulation via joint pose and force sensing

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.102378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.497564Z digest=sha256:2307565ab504f7046087bfcdef3adac0661a380dd83f6df52ceca6f8cb7f7d1f

Observation d539c692-fc0b-4d26-9799-0e1ad434087d · outbound

This paper cites High-fidelity grasping in virtual reality using a glove-based system.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience High-fidelity grasping in virtual reality using a glove-based system

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.085154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.502300Z digest=sha256:919cbd0190705fe43ac9caba7832394735b3260bb84b592cad672b215cc33577

Observation dbbbab28-46d9-4a67-8507-f0fe05ed2ec6 · outbound

This paper cites Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-11T15:05:13.506910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.506910Z digest=sha256:b8d6e6dc3534297fc5058084c998393c88d1c94af9bc530a4fa85910b482c157

Observation 63164dca-7d7c-435c-8711-71f636c4cfa4 · outbound

This paper cites Dexpilot: Vision-based teleoperation of dexterous robotic hand-arm system.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Dexpilot: Vision-based teleoperation of dexterous robotic hand-arm system

Reference 68

Resolution
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source=pdf_text observed=2026-08-11T15:05:13.512248Z digest=sha256:ea008cd1ea2a13eac04aa8753bf0ddc34072e670424f7fac75cc78365ff94f99

Observation a506351c-623b-41e0-b4eb-280f371df2ac · outbound

This paper cites A dexterous hand-arm tele- operation system based on hand pose estimation and active vision.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience A dexterous hand-arm tele- operation system based on hand pose estimation and active vision

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.057336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.517145Z digest=sha256:cb0e9103634f927b741c88d792496e17a6ce9e8b71d76cd983d4d01ec773626d

Observation 0496fde3-c924-40c5-bed7-954cc849f675 · outbound

This paper cites From one hand to multiple hands: Imitation learning for dexterous manipulation from single-camera teleoperation.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience From one hand to multiple hands: Imitation learning for dexterous manipulation from single-camera teleoperation

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-11T15:05:13.526403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.526403Z digest=sha256:1230d2a2c488a9827b16d2b2ca3c727bf92fd637baa3832d9f6ad07df6e1e045

Observation 1438a8a1-5ea6-49cb-a385-ce2c90d81294 · outbound

This paper cites Bunny-VisionPro: Real-Time Bimanual Dexterous Teleoperation for Imitation Learning.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Bunny-VisionPro: Real-Time Bimanual Dexterous Teleoperation for Imitation Learning

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-11T15:05:13.531021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.531021Z digest=sha256:e474f75acf9b56727dc7a9a1c7caaaaa8e3de00d3f7650b36e578e6870b45d2d

Observation 51a4d8cd-75ee-4cd0-a861-1fb8cb0fd3ca · outbound

This paper cites AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-11T15:05:13.536102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.536102Z digest=sha256:d7f11ad373e3fd721a8ae8c134a866999a3d52d3acc227715f7de31fd3d16aa4

Observation 20d5d7f0-67cd-48ab-96d5-21aae580d9ec · outbound

This paper cites Reconstructing hands in 3D with transformers.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Reconstructing hands in 3D with transformers

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-11T15:05:13.541025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.541025Z digest=sha256:55d557861d6d31883d7aa8cc69dbda38be049a8168d100af5f30080a52a3be8a

Observation e8c0fa56-9d16-417f-b1ce-dda3d40c6d9c · outbound

This paper cites The ycb object and model set: Towards common benchmarks for manipulation research.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience The ycb object and model set: Towards common benchmarks for manipulation research

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-11T15:05:13.545988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.545988Z digest=sha256:64fc0d3f1b0dbd31a352069344019db7600f5f2a2619e703519cf15fd2aa68e7

Observation 79993114-f616-4e48-b844-789ffe23c824 · outbound

This paper cites Data Scaling Laws in Imitation Learning for Robotic Manipulation.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Data Scaling Laws in Imitation Learning for Robotic Manipulation

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-11T15:05:13.551474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.551474Z digest=sha256:296ce4f86f79f5f547921e81fbe480807da9f39af4949d008c4f2a2dec8954ef

Observation 01bb0180-ea33-47b5-89e7-b65730766773 · outbound

This paper cites Grasp planning from human prehension.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Grasp planning from human prehension

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:05:14.006773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:05:13.556844Z digest=sha256:680bc794c5757c4591dbca131419c19dcc6100480a834bed93249ceac5079eb8

Observation 6c1d2184-b667-40ac-a412-e3a9dd84965f · outbound

This paper cites Verbal focus-of-attention system for learning-from- demonstration.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Verbal focus-of-attention system for learning-from- demonstration

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-11T15:05:13.561651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.561651Z digest=sha256:4aa5103ef194d66dc4103f8d19474635124274df287dc958bbc0b191ee045420

Observation e8a84e80-0bf3-40e9-9d03-3e0e63a8a675 · outbound

This paper cites Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-11T15:05:13.566546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:05:13.566546Z digest=sha256:feb1f0551ad0744e185cfe24121641ff8780e7b2068010699ed05398a4223af4

Pith citing papers

No inbound Pith citation observations are available.