Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-24T18:04:51.236085Z
Paper Citation Record · LEDGER
Grasping Using Tactile Sensing and Deep Calibration
As of 17 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:1907.09656.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
24 of 24 outbound references displayed
- verified exact3
- verified fuzzy21
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d902588f-baed-4a9f-a61c-20590e5e2ef4 · outbound
This paper cites Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks.
Grasping Using Tactile Sensing and Deep Calibration Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T18:06:18.623283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f30a156d-b227-4577-88e0-519e9800b016 · outbound
This paper cites Learning to Grasp Without Seeing.
Grasping Using Tactile Sensing and Deep Calibration Learning to Grasp Without Seeing
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T18:06:18.618117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 78c6ae59-0825-4da6-8d2e-67b9accd56c8 · outbound
This paper cites Human-inspired robotic grasp co ntrol with tactile sensing.
Grasping Using Tactile Sensing and Deep Calibration Human-inspired robotic grasp co ntrol with tactile sensing
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:06:19.238290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3677a3fd-0523-431c-a59a-401d633b4503 · outbound
This paper cites Robot grasp planning based on demonstr ated grasp strategies.
Grasping Using Tactile Sensing and Deep Calibration Robot grasp planning based on demonstr ated grasp strategies
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:06:19.234748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2a9e5058-510f-46d4-b57f-b35d0a3372df · outbound
This paper cites Tactile sensing for mobile manipulation.
Grasping Using Tactile Sensing and Deep Calibration Tactile sensing for mobile manipulation
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:06:19.231286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 87977480-be98-4a77-87a2-0d21ea165290 · outbound
This paper cites Reliable object handover through tactile force sensing and effort control in the shadow robot hand.
Grasping Using Tactile Sensing and Deep Calibration Reliable object handover through tactile force sensing and effort control in the shadow robot hand
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:06:19.166046Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation deac67ec-fa21-4303-ae8e-658b55fcd5f1 · outbound
This paper cites Control of linear and rotational slippa ge based on six-axis force/tactile sensor.
Grasping Using Tactile Sensing and Deep Calibration Control of linear and rotational slippa ge based on six-axis force/tactile sensor
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:06:19.227866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8a3b754a-ff33-4556-995e-bb2179111682 · outbound
This paper cites A hybrid deep architecture for robotic grasp detection.
Grasping Using Tactile Sensing and Deep Calibration A hybrid deep architecture for robotic grasp detection
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:06:19.162799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5a5d106e-8962-4501-a662-53f60268ffbf · outbound
This paper cites Deep learning for tactile understanding from visu al and haptic data.
Grasping Using Tactile Sensing and Deep Calibration Deep learning for tactile understanding from visu al and haptic data
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:06:19.169334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8ee4bfa5-1644-4255-babb-549ac24f797a · outbound
This paper cites Stable reinforcement learning with autoenc oders for tactile and visual data.
Grasping Using Tactile Sensing and Deep Calibration Stable reinforcement learning with autoenc oders for tactile and visual data
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:06:19.224219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dabde903-c52a-4a8a-9ad2-ea3334118bcb · outbound
This paper cites Deep spatial autoencoders for visuomoto r learning.
Grasping Using Tactile Sensing and Deep Calibration Deep spatial autoencoders for visuomoto r learning
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:06:19.216971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 96c0eac7-e477-4c27-9e6d-95fd337a7c79 · outbound
This paper cites Learn ing robot tactile sensing for object manipulation.
Grasping Using Tactile Sensing and Deep Calibration Learn ing robot tactile sensing for object manipulation
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:06:19.213577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 972a1ba8-54e3-4a06-a31b-fbdbec5e2b85 · outbound
This paper cites Self-supervised regrasping using spatio-t emporal tactile features and reinforcement learning.
Grasping Using Tactile Sensing and Deep Calibration Self-supervised regrasping using spatio-t emporal tactile features and reinforcement learning
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:06:19.173132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fef2a9ee-53ff-480a-816f-c691349c36e8 · outbound
This paper cites Le arning dynamic tactile sensing with robust -based training.
Grasping Using Tactile Sensing and Deep Calibration Le arning dynamic tactile sensing with robust -based training
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:06:19.210252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 53e73cb1-a357-4e6b-b1bb-38cae042d67c · outbound
This paper cites Object identification with tactile sensors using bag-of-features.
Grasping Using Tactile Sensing and Deep Calibration Object identification with tactile sensors using bag-of-features
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:06:19.177110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 928700bc-c0da-4f8f-98f7-1e4648c5fed8 · outbound
This paper cites Touch based perception for object manipulation.
Grasping Using Tactile Sensing and Deep Calibration Touch based perception for object manipulation
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:06:19.206543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d1865518-f369-44c5-9ed2-2cfe077a003e · outbound
This paper cites A measurement model fo r tracking hand-object state during dexterous manipulation.
Grasping Using Tactile Sensing and Deep Calibration A measurement model fo r tracking hand-object state during dexterous manipulation
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:06:19.198766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2f046ff2-bc58-4a24-992f-2b06d3f0dad6 · outbound
This paper cites Localization an d manipulation of small parts using gelsight tactile sensing.
Grasping Using Tactile Sensing and Deep Calibration Localization an d manipulation of small parts using gelsight tactile sensing
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:06:19.202379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 82e1790d-dbd0-4714-adb4-a7c03ab9e173 · outbound
This paper cites Assessing grasp stability based on learn ing and haptic data.
Grasping Using Tactile Sensing and Deep Calibration Assessing grasp stability based on learn ing and haptic data
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:06:19.182153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 59baf10d-e317-4d4a-a1bf-66c79d8e488c · outbound
This paper cites Stable grasping under pose un certainty using tactile feedback.
Grasping Using Tactile Sensing and Deep Calibration Stable grasping under pose un certainty using tactile feedback
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:06:19.186654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ef831018-8089-4052-abf2-329fcdfc7a7c · outbound
This paper cites Force control in object manipulationa model for the study of senso rimotor control strategies.
Grasping Using Tactile Sensing and Deep Calibration Force control in object manipulationa model for the study of senso rimotor control strategies
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:06:19.194546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 403902f5-3aea-42cf-9335-2b6b844bc641 · outbound
This paper cites Intera ctive perception: Leveraging action in perception and perceptio n in action.
Grasping Using Tactile Sensing and Deep Calibration Intera ctive perception: Leveraging action in perception and perceptio n in action
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:06:19.190804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 456bf198-e9ce-4fcb-a12a-b580ee162d18 · outbound
This paper cites Evaluation of estimation approaches on the quality and robustness of collision warni ng systems.
Grasping Using Tactile Sensing and Deep Calibration Evaluation of estimation approaches on the quality and robustness of collision warni ng systems
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T18:06:19.220700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 28704c6d-9aba-4304-9471-a5a411475f28 · outbound
This paper cites Real-time policy generation and its application to robot grasping.
Grasping Using Tactile Sensing and Deep Calibration Real-time policy generation and its application to robot grasping
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T18:06:18.607638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.