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Paper Citation Record · LEDGER

Learning thin deformable object manipulation with a multi-sensory integrated soft hand

As of 13 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2411.13952.

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

pith.paper-citation-record.v1
2411.13952 v2

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:47:07.253099Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

63 of 63 outbound references displayed

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  • unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92bf521d-4612-4af1-ac07-fe8e7f8f4cea · outbound

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

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Deep learning approaches to grasp synthesis: A review,

Reference 1

Resolution
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Source-reported events for the cited work

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Observation 4d578c19-b6ca-4635-8e06-6a1ccc842c24 · outbound

This paper cites Toward next-generation learned robot manipulation,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Toward next-generation learned robot manipulation,

Reference 2

Resolution
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Source-reported events for the cited work

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Observation b8f4fdac-e7f4-4d6d-8cea-f03c63660c6c · outbound

This paper cites Challenges and outlook in robotic manipulation of deformable objects,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Challenges and outlook in robotic manipulation of deformable objects,

Reference 3

Resolution
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Source-reported events for the cited work

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Observation 364964b7-b052-4592-afb7-1d08d2ce3dd9 · outbound

This paper cites Covariant,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Covariant,

Reference 4

Resolution
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Source-reported events for the cited work

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Observation 5402d959-e63a-463d-a464-2cbb4af8b42e · outbound

This paper cites Boston dynamics,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Boston dynamics,

Reference 5

Resolution
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Source-reported events for the cited work

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Observation d5409bfe-07e8-44fc-b807-b26a957bf3be · outbound

This paper cites Multi-dimensional compliance of soft grippers enables gentle interaction with thin, flexible objects,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Multi-dimensional compliance of soft grippers enables gentle interaction with thin, flexible objects,

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c20428f1-2224-4611-a7e7-ea701a8ab992 · outbound

This paper cites Differential contributions of vision, touch and muscle proprioception to the coding of hand movements,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Differential contributions of vision, touch and muscle proprioception to the coding of hand movements,

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 2026-08-12T06:34:41.77262+00:00.

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Observation fc7b39e1-8489-4f2d-9aeb-8ca9de6f0827 · outbound

This paper cites Learning to singulate layers of cloth using tactile feedback,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Learning to singulate layers of cloth using tactile feedback,

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 81729f45-1f14-4a95-ad68-1f892bbba6cd · outbound

This paper cites Flipbot: Learning continuous paper flipping via coarse-to-fine exteroceptive- proprioceptive exploration,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Flipbot: Learning continuous paper flipping via coarse-to-fine exteroceptive- proprioceptive exploration,

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 2026-08-12T06:34:41.77262+00:00.

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Observation 4aaa76e1-7cef-48e6-945e-e0f5e8e2a5f5 · outbound

This paper cites RoTipBot: Robotic Handling of Thin and Flexible Objects using Rotatable Tactile Sensors.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand RoTipBot: Robotic Handling of Thin and Flexible Objects using Rotatable Tactile Sensors

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:47:07.347481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 35492942-c692-4a63-a6be-a4f0e9680b63 · outbound

This paper cites Autonomous learning of page flipping movements via tactile feedback,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Autonomous learning of page flipping movements via tactile feedback,

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 8525d56c-3f0a-4116-8a31-3d42761824f8 · outbound

This paper cites Bagging by learning to singulate layers using interactive perception,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Bagging by learning to singulate layers using interactive perception,

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 56a77b6c-abb5-4b90-ab51-7548ef3efdd6 · outbound

This paper cites One policy to dress them all: Learning to dress people with diverse poses and garments,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand One policy to dress them all: Learning to dress people with diverse poses and garments,

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 19c0e0e5-9322-4443-8e97-ba180b5f3fbe · outbound

This paper cites Learning garment manipulation policies toward robot-assisted dressing,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Learning garment manipulation policies toward robot-assisted dressing,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:08.061797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation bfe2ee10-28d9-493a-bcef-afe4614d0b06 · outbound

This paper cites SpeedFolding: Learning efficient bimanual folding of garments,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand SpeedFolding: Learning efficient bimanual folding of garments,

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 2026-08-12T06:34:41.77262+00:00.

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Observation 4160cdb3-aab4-4eb5-8999-8811b1fd1929 · outbound

This paper cites AutoBag: Learning to open plastic bags and insert objects,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand AutoBag: Learning to open plastic bags and insert objects,

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 629d99f4-22f1-43a3-94de-3e2d8f527c73 · outbound

This paper cites Stable, open-loop precision manipulation with underactuated hands,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Stable, open-loop precision manipulation with underactuated hands,

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7e8f18e8-9f81-4bfc-8012-03dc7f2050c0 · outbound

This paper cites Pre-grasp sliding manipulation of thin objects using soft, compliant, or underactuated hands,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Pre-grasp sliding manipulation of thin objects using soft, compliant, or underactuated hands,

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 170ed66f-8f24-496c-9b0e-cb9820a063b0 · outbound

This paper cites Position-based simulation methods in computer graphics,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Position-based simulation methods in computer graphics,

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b87bd02a-d6b4-456d-8c75-8ee890c24341 · outbound

This paper cites Learning where to trust unreliable models in an unstructured world for deformable object manipulation,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Learning where to trust unreliable models in an unstructured world for deformable object manipulation,

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 2026-08-12T06:34:41.77262+00:00.

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Observation 76a846f8-a3dd-4279-b7f8-ac934baf0adf · outbound

This paper cites Model-driven feedforward prediction for manipulation of deformable objects,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Model-driven feedforward prediction for manipulation of deformable objects,

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5f7973e6-8e7e-4bbb-8b83-36be1ebe7f2a · outbound

This paper cites A geometric approach to robotic laundry folding,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand A geometric approach to robotic laundry folding,

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5361b936-edc9-4ec2-ad49-c846ef4f4c85 · outbound

This paper cites Action-conditional implicit visual dynamics for deformable object manipulation,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Action-conditional implicit visual dynamics for deformable object manipulation,

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ebab4167-c080-4da8-9a25-81550fbf36c3 · outbound

This paper cites Dynamic flex-and- flip manipulation of deformable linear objects,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Dynamic flex-and- flip manipulation of deformable linear objects,

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 2026-08-12T06:34:41.77262+00:00.

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Observation 2c62fdf9-02d9-4879-a8e4-28742d8a0924 · outbound

This paper cites Model- free visually servoed deformation control of elastic objects by robot manipulators,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Model- free visually servoed deformation control of elastic objects by robot manipulators,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.894852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e4080599-1e0d-4440-83c7-e62b4f57b358 · outbound

This paper cites Modeling, learning, perception, and control methods for deformable object manipulation,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Modeling, learning, perception, and control methods for deformable object manipulation,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.879329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7711a053-df3e-4365-9db0-3c058d30ef0f · outbound

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

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Deep learning approaches to grasp synthesis: A review,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.864029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 36c5ecd8-a334-43eb-98b5-38041f67820a · outbound

This paper cites Flingbot: The unreasonable effectiveness of dynamic manipulation for cloth unfolding,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Flingbot: The unreasonable effectiveness of dynamic manipulation for cloth unfolding,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.849597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 0d31e560-cd44-47bb-8d92-7aa6cc937468 · outbound

This paper cites Fabricflownet: Bimanual cloth manipulation with a flow-based policy,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Fabricflownet: Bimanual cloth manipulation with a flow-based policy,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.834696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 6d70a506-dec7-48e7-ae18-4809c466f867 · outbound

This paper cites SGTM 2.0: Autonomously untangling long cables using interactive perception,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand SGTM 2.0: Autonomously untangling long cables using interactive perception,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.819248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 563d9adf-89d5-4b72-a097-3a252d20a99f · outbound

This paper cites Learning rope manipulation policies using dense object descriptors trained on synthetic depth data,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Learning rope manipulation policies using dense object descriptors trained on synthetic depth data,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.804024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 6b651d00-7609-4ff8-892e-251f98aeea6b · outbound

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

Learning thin deformable object manipulation with a multi-sensory integrated soft hand How to train your robot with deep reinforcement learning: lessons we have learned,

Reference 32

Resolution
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no resolver link, observed 2026-08-12T15:47:07.102376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 597d43c1-7c3e-419d-a52e-c0ccc5fc28f9 · outbound

This paper cites Model-free reinforcement learning al- gorithms: A survey,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Model-free reinforcement learning al- gorithms: A survey,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.778811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 8c0d42f5-9d2d-4eda-a43c-8ff099f30dde · outbound

This paper cites Efficient multitask learning with an embodied predictive model for door opening and entry with whole-body control,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Efficient multitask learning with an embodied predictive model for door opening and entry with whole-body control,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.763132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.112451Z digest=sha256:2dc858a79ec73d9251a73a88297be0da069cdaa74d712d85e753c6c5a64521a7

Observation 224a6f73-dcbd-4b01-b8a5-66ef42b175d2 · outbound

This paper cites Scientific exploration of challenging planetary analog environments with a team of legged robots,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Scientific exploration of challenging planetary analog environments with a team of legged robots,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.746149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.117203Z digest=sha256:29af2dc177007a325f3ab8d2d91a584d440ec178a83a720005bf7bc5b2624b28

Observation 788db5c4-613b-45e9-9f60-262447d94ca5 · outbound

This paper cites Swarm of micro flying robots in the wild,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Swarm of micro flying robots in the wild,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.731079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.121899Z digest=sha256:337b2d9365dda95155f762b2a176ea56e17084ed59d5616dace8393dfaca5233

Observation 1742bab3-ad14-4dcb-89ce-77753e3ca044 · outbound

This paper cites Learning to manipulate deformable objects without demonstrations,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Learning to manipulate deformable objects without demonstrations,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.715099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.126696Z digest=sha256:6cd3ce7e8d4a415c4b5be823d3f9db9730539c9ab3b3f5c032fa1973ad4caf95

Observation 90e5152b-7fbf-4d90-ae32-12a82baf3c72 · outbound

This paper cites Dynamic cloth manipulation with deep reinforcement learning,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Dynamic cloth manipulation with deep reinforcement learning,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.699270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.131459Z digest=sha256:37fdbc87febd267c6b1a42804280684a81935bd4e55f88837897c09b3bc52155

Observation 8ca09855-709e-499d-acac-9914f0204431 · outbound

This paper cites Sim-to-real reinforcement learning for deformable object manipulation,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Sim-to-real reinforcement learning for deformable object manipulation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.682671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.136698Z digest=sha256:5a0b32210ff78ecf033b390ddf2516e43e6d485f0036ebed73e7027cc6c7014b

Observation 4c71e85f-76f7-4706-b5f1-8747e5c6aefe · outbound

This paper cites Benchmarking the sim-to-real gap in cloth manipulation,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Benchmarking the sim-to-real gap in cloth manipulation,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T15:47:07.141833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:47:07.141833Z digest=sha256:f7c2154b7bdf7dbb5fd1c83848054fa7eb6a85f9699f2d918132e261c302f3e9

Observation 226bce0e-6334-4af6-9a68-053b96a7f7fa · outbound

This paper cites Soft robotic hand with tactile palm-finger coordination,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Soft robotic hand with tactile palm-finger coordination,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.656999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.146659Z digest=sha256:0a194239400727b715944bc2aba5dc83be4b67e940983c436c08a44e89fe2a58

Observation 3a903988-2197-425c-995f-e7e6f7ede171 · outbound

This paper cites Soft robotic fingers with embedded ionogel sensors and discrete actuation modes for somatosensitive manipulation,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Soft robotic fingers with embedded ionogel sensors and discrete actuation modes for somatosensitive manipulation,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.641591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.151964Z digest=sha256:9d8b0f899373a19baa7ca17d21f355f15bb26f42153b4130bdb9a4e411cb1552

Observation ff1eab26-466e-4675-8c34-4bdad9c93eda · outbound

This paper cites Rbo hand 3: A platform for soft dexterous manipulation,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Rbo hand 3: A platform for soft dexterous manipulation,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.626258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.157206Z digest=sha256:491e7c8e42c4fde5d388f5acc597df8dcc290823d3a23bb7b3fb0eee49b6ef81

Observation c201a098-4118-41d3-8320-a73dd6b61c95 · outbound

This paper cites A dexterous soft robotic hand for delicate in-hand manipulation,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand A dexterous soft robotic hand for delicate in-hand manipulation,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.611530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.162039Z digest=sha256:d22789ff286b6eb207548e8c67bcfa95223ad6cbf1a2f4f8cc531eadefc162fd

Observation 6036e0ae-5321-4d28-b402-98f153f78e7a · outbound

This paper cites Tossingbot: Learning to throw arbitrary objects with residual physics,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Tossingbot: Learning to throw arbitrary objects with residual physics,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.596675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.166673Z digest=sha256:1fdac9c139cdc259605878ce31ddcc8de0055f8d4f05e342ea3ed1c4f48bd0de

Observation 00721dfe-ffc7-4bb5-baa9-ea5365fed2de · outbound

This paper cites Learning better generative models for dexterous, single-view grasping of novel objects,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Learning better generative models for dexterous, single-view grasping of novel objects,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.581757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.172405Z digest=sha256:13c57d5ba62ba0c7f2384e9a6f2042818b5b059cda7208604b9cedc6ce50e18e

Observation 71abfa06-8e6e-4a1d-b1ee-03905f3eaa1d · outbound

This paper cites Perturbation-based stiffness inference in variable impedance control,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Perturbation-based stiffness inference in variable impedance control,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.565792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.177886Z digest=sha256:26f78b8b5249c9ac1002ad875936742a6e45f4380930bc59e679c12a7bbcd1bb

Observation 4850f19b-da37-4eb2-ba52-fad133429aee · outbound

This paper cites Iterative path optimisation for personalised dressing assistance using vision and force information,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Iterative path optimisation for personalised dressing assistance using vision and force information,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.548396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.182580Z digest=sha256:50b4a06dd4984a2a17d8f81a952b1b631de5c0f856ac814d5f4e056c71e74de7

Observation b0fa42f2-54d8-4c1a-8240-14eeacd96e60 · outbound

This paper cites GelSight: High-resolution robot tactile sensors for estimating geometry and force,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand GelSight: High-resolution robot tactile sensors for estimating geometry and force,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.533540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.187162Z digest=sha256:ca5776140079dd639e33ca9120027abb19078e1b03e02c2290a42d1a9e89ff6f

Observation f8376d66-c344-4ebc-b858-211068dc723f · outbound

This paper cites DIGIT: A novel design for a low-cost compact high- resolution tactile sensor with application to in-hand manipulation,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand DIGIT: A novel design for a low-cost compact high- resolution tactile sensor with application to in-hand manipulation,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.517649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.191728Z digest=sha256:2c30b509b86cbd3d057cec4da8afcf5cc27ea739de08833fe94f5d8f69f1d211

Observation e2f86c3a-a8a9-40ac-812c-230475c3a88d · outbound

This paper cites Cable manipulation with a tactile-reactive gripper,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Cable manipulation with a tactile-reactive gripper,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.502061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.196574Z digest=sha256:66de159746ee6d3a883f8299d54201d297c073ff27adf90102e87dbb349eb7f0

Observation ca48b806-d7f8-4cf6-9ec9-042e86fba003 · outbound

This paper cites Active clothing material perception using tactile sensing and deep learning,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Active clothing material perception using tactile sensing and deep learning,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.485897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.201502Z digest=sha256:e44162415638cea69cbdbebad394afada11f3105e9552689643f0f15224e8a78

Observation 0f4aded1-1f9c-4977-9f3a-7056e329ff51 · outbound

This paper cites Pneumatic networks for soft robotics that actuate rapidly,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Pneumatic networks for soft robotics that actuate rapidly,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T15:47:07.205843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:47:07.205843Z digest=sha256:0f392b5bfd3de62ff6be586184153287147e816bb651a5c886cc4d3c851dac9c

Observation be445b02-e974-4666-94cb-942230e312ed · outbound

This paper cites Multidimensional tactile sensor with a thin compound eye-inspired imaging system,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Multidimensional tactile sensor with a thin compound eye-inspired imaging system,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.459698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.210201Z digest=sha256:ab7cb2df1df5a626383310cce96bb9731eeabe00a81ab4f350ce4f2dc1a16511

Observation b5a42b21-08a3-4123-83f8-a3d0a9deee87 · outbound

This paper cites Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.444534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.214672Z digest=sha256:810f31452a83894606fd99815133501d409e8d267a85978593be9d07c8e9de93

Observation d4bb7c21-a987-4d40-8b12-670d321bab10 · outbound

This paper cites Segment Anything.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Segment Anything

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-12T15:47:07.219518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:47:07.219518Z digest=sha256:59947c5a94089e8df693e5454c90877ff76a166d787de9f3472850498c75065e

Observation abc20a03-bf09-47e9-92b5-78eec832eeae · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand High-resolution image synthesis with latent diffusion models,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.427375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.224876Z digest=sha256:61c5bd1be4d224340a3bab35c0a338b6f8c76ed1da3d62e2aac5d118b44f3d5c

Observation 912b8c41-a828-4db6-82e5-26b8458382a3 · outbound

This paper cites Attention is all you need,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Attention is all you need,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.411255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.229530Z digest=sha256:839c076e50a0b41cf1cef53736c8298a980a49d6c1e29344979d20e186bebd23

Observation b974a723-8c23-4830-ac6e-19b75f11a934 · outbound

This paper cites Adam: A method for stochastic optimization,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Adam: A method for stochastic optimization,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.395500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.234136Z digest=sha256:243aa32525022734532ed08ae0839eab37bca59999453055702efa9370f92629

Observation 83c929a8-bed7-4a6e-8e89-707ab9298956 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand LLaMA: Open and Efficient Foundation Language Models

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-12T15:47:07.238943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:47:07.238943Z digest=sha256:93cb0a550bf680210d399a9f6bca576deae7c38a69dc47ca73e431ff67c7c193

Observation e13420a1-9414-449b-aafb-320647a5b0ee · outbound

This paper cites GPT-4 Technical Report.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand GPT-4 Technical Report

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-12T15:47:07.243835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:47:07.243835Z digest=sha256:9f72a2a9f743176d108df7418b9f0aff5fdaad187c2c2a2f70b3678505693e88

Observation c1bc65ce-660e-4a99-9b38-905b18477fd7 · outbound

This paper cites Deep residual learning for image recognition,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Deep residual learning for image recognition,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.378832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.248431Z digest=sha256:d7a0fb2bee1ed63910b4e95b6e749c1b22e42930fa6abd5f4909fda56d77cd0d

Observation 662afa8e-dcc1-461c-8b43-f5effc61e7d7 · outbound

This paper cites Rectified linear units improve restricted boltzmann machines,.

Learning thin deformable object manipulation with a multi-sensory integrated soft hand Rectified linear units improve restricted boltzmann machines,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:47:07.363504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:47:07.253099Z digest=sha256:48c2bad36a7e3bb12134200c328d9ce93f985743072de02879d2053e2aaca1fd

Pith citing papers

No inbound Pith citation observations are available.