Paper Citation Record · LEDGER

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning

As of 11 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2506.11570.

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

pith.paper-citation-record.v1
2506.11570 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:09:17.069764Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

25 of 25 outbound references displayed

verified exact0
verified fuzzy24
unresolved1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f4b7510-b84c-4530-9a68-ffaf9635a51b · outbound

This paper cites The maximum grasping force can be in general Figure.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning The maximum grasping force can be in general Figure

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:22.244135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 973c60a0-3a5e-4603-9064-d8797cac67d7 · outbound

This paper cites The relationship between the force applied to the elastic and the deformation of the elastic ring needs to be built.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning The relationship between the force applied to the elastic and the deformation of the elastic ring needs to be built

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:22.098195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dbcd4998-4f62-4393-8b6c-6933aa760625 · outbound

This paper cites GL-Robot can grasp a coin with a thickness of 1.85mm in the parallel grasping mode and a cubic object with a length of 125mm in the enveloping grasping mode.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning GL-Robot can grasp a coin with a thickness of 1.85mm in the parallel grasping mode and a cubic object with a length of 125mm in the enveloping grasping mode

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:21.920861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 35690ca4-efca-4808-a17a-ac60fd2779b7 · outbound

This paper cites Real- time robotic manipulation of cylindrical objects in dynamic scenarios through elliptic shape primitives,.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning Real- time robotic manipulation of cylindrical objects in dynamic scenarios through elliptic shape primitives,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:21.760210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7c2f09b1-174a-44a1-a465-3eefdf7418b0 · outbound

This paper cites Object Pose Estimation via Pruned Hough Forest With Combined Split Schemes for Robotic Grasp,.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning Object Pose Estimation via Pruned Hough Forest With Combined Split Schemes for Robotic Grasp,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:21.551853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 66c4e018-8c87-43ce-8f90-0b9fa33bac10 · outbound

This paper cites Geometric design optimization of an under- actuated tendon-driven robotic gripper,.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning Geometric design optimization of an under- actuated tendon-driven robotic gripper,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:21.357889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8c40711c-8d86-416a-b9d1-2a7c28414ed5 · outbound

This paper cites The Velo gripper: A versatile single-actuator design for enveloping, paralle l and fingertip grasps,.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning The Velo gripper: A versatile single-actuator design for enveloping, paralle l and fingertip grasps,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:21.192363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 400ae0fc-3bf2-439d-b36f-eee055435d18 · outbound

This paper cites Underactuated adaptive gripper using flexural buckling,.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning Underactuated adaptive gripper using flexural buckling,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:21.012999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 056aaf32-42f6-46e1-9b66-39a937631659 · outbound

This paper cites Design and Implementation of a Multi-Function Gripper for Grasping General Objects,.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning Design and Implementation of a Multi-Function Gripper for Grasping General Objects,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:20.836086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1f48100e-1c3a-4d6b-81fa-484991fc3c2c · outbound

This paper cites Analysis of fingertip force vector for pinch-lifting gripper with robust adaptation to environments,.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning Analysis of fingertip force vector for pinch-lifting gripper with robust adaptation to environments,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:20.676285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e0e609ed-5487-4648-8580-1f0c7b21c23c · outbound

This paper cites Actuation system for highly underactuated gripping mechanism,.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning Actuation system for highly underactuated gripping mechanism,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:20.463305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c642b088-837d-42dc-9be5-e72b3c465489 · outbound

This paper cites Underactuated mechanical finger with return actuation,.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning Underactuated mechanical finger with return actuation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:20.233805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bc92c6af-f665-4c4a-8648-9f1a59d2c4ce · outbound

This paper cites Discrete Cosserat approach for soft robot dynamics: A new piece-wise constant strain model with torsion and shears,.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning Discrete Cosserat approach for soft robot dynamics: A new piece-wise constant strain model with torsion and shears,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:20.023666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9a0f20ca-4b2c-414b-b3d8-6a35dde5c726 · outbound

This paper cites A Compliant Adaptive Gripper and Its Intrinsic Force Sensing Method,.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning A Compliant Adaptive Gripper and Its Intrinsic Force Sensing Method,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:19.861565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3646d1f2-adde-49ca-8184-48db8649a863 · outbound

This paper cites Gelsight fin ray: Incorporating tactile sensing into a soft co mpliant robotic gripper,.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning Gelsight fin ray: Incorporating tactile sensing into a soft co mpliant robotic gripper,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:19.581804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3c68988e-7793-470c-a30c-761f4a9e43d9 · outbound

This paper cites A compliant adaptive gripper and its intrinsic force sensing method,.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning A compliant adaptive gripper and its intrinsic force sensing method,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:19.320535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f56ac990-db9c-4f0d-9694-594aa2dc523b · outbound

This paper cites Construction of interaction parallel manipulator: towards rehabilitation massage,.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning Construction of interaction parallel manipulator: towards rehabilitation massage,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:19.123146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dbf82b35-eead-433f-8195-11426505df27 · outbound

This paper cites Gsg: A granary-shaped soft gripper with mechanical sensing via snap- through structure,.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning Gsg: A granary-shaped soft gripper with mechanical sensing via snap- through structure,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:18.916898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 72ccb4ec-9b07-485a-9ef9-d1dfd432f8c2 · outbound

This paper cites Force control of a 3D printed soft gripper with bu ilt-in pneumatic touch sensing chambers,.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning Force control of a 3D printed soft gripper with bu ilt-in pneumatic touch sensing chambers,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:18.722410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ec298b4a-3ef1-49b3-893f-f05988144984 · outbound

This paper cites Push-on push-off: A compliant bistable gr ipper with mechanical sensing and actuation,.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning Push-on push-off: A compliant bistable gr ipper with mechanical sensing and actuation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:18.503154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 59c60fdb-f0ac-4958-b0a4-f7dc6295e72b · outbound

This paper cites A bistable soft gri pper with mechanically embedded sensing and actuation for fast grasping,.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning A bistable soft gri pper with mechanically embedded sensing and actuation for fast grasping,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:18.344817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5c81cfd5-7ff9-43c7-9a39-8279fdff12d6 · outbound

This paper cites H ybrid motion/force control of multi- backbone continuum robots,.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning H ybrid motion/force control of multi- backbone continuum robots,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:18.091989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8ece1ba9-02bc-4812-84a3-0aff3a4c34e9 · outbound

This paper cites Shape-reconstruction-based force sensing method for continuum surgical robots with large deformation,.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning Shape-reconstruction-based force sensing method for continuum surgical robots with large deformation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:17.902327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ccedf1c7-a58b-4956-bd76-6a112ca1ba5a · outbound

This paper cites an unresolved cited work.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:09:17.718495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 84d28777-90d1-4cff-bcfa-31d47ae65806 · outbound

This paper cites Kinetostatic analysis of underactuated fingers,.

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning Kinetostatic analysis of underactuated fingers,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:17.336802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.