Paper Citation Record · LEDGER

Tactile-based Reinforcement Learning for Adaptive Grasping under Observation Uncertainties

As of 14 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2505.16167.

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

pith.paper-citation-record.v1
2505.16167 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:40.217049Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T11:18:32.259684Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T11:26:54.063129Z

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy12
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 716c5ba5-640f-47ba-990c-60a260ae202c · outbound

This paper cites Automated construction of robotic manipulation programs.

Tactile-based Reinforcement Learning for Adaptive Grasping under Observation Uncertainties Automated construction of robotic manipulation programs

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:42.925422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1e863587-9f75-4693-ac21-24123e4391bb · outbound

This paper cites an unresolved cited work.

Tactile-based Reinforcement Learning for Adaptive Grasping under Observation Uncertainties Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:08:42.722616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e70a657e-54ee-4052-abfb-55b42bf8cec6 · outbound

This paper cites ”A re- configurable gripper for dexterous manipulation in flexible assembly.” Inventions 3.1 (2018): 4.

Tactile-based Reinforcement Learning for Adaptive Grasping under Observation Uncertainties ”A re- configurable gripper for dexterous manipulation in flexible assembly.” Inventions 3.1 (2018): 4

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:42.474560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 01aa1093-d2bf-43a5-a771-b5e0ed3671a3 · outbound

This paper cites an unresolved cited work.

Tactile-based Reinforcement Learning for Adaptive Grasping under Observation Uncertainties Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:08:42.201287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4cc593ca-16cd-4af2-ba3d-8f3c6191f384 · outbound

This paper cites ”Mujoco: A physics engine for model-based control.” 2012 IEEE/RSJ international confer- ence on intelligent robots and systems.

Tactile-based Reinforcement Learning for Adaptive Grasping under Observation Uncertainties ”Mujoco: A physics engine for model-based control.” 2012 IEEE/RSJ international confer- ence on intelligent robots and systems

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:41.979443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bb02d1e9-680b-4e67-9d50-e4f9bad4474f · outbound

This paper cites Bullock, and Aaron M.

Tactile-based Reinforcement Learning for Adaptive Grasping under Observation Uncertainties Bullock, and Aaron M

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:41.799727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5af7fa7e-5c9a-4fca-af00-81daed7669d0 · outbound

This paper cites an unresolved cited work.

Tactile-based Reinforcement Learning for Adaptive Grasping under Observation Uncertainties Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:08:41.653698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ff1c2587-5bb1-45c6-82bf-dba252bdf1f2 · outbound

This paper cites ”Constructing force-closure grasps.” The Interna- tional Journal of Robotics Research 7.3 (1988): 3-16.

Tactile-based Reinforcement Learning for Adaptive Grasping under Observation Uncertainties ”Constructing force-closure grasps.” The Interna- tional Journal of Robotics Research 7.3 (1988): 3-16

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:41.510932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dc9d67ee-534e-4890-8df5-e4f4c1c04447 · outbound

This paper cites ”Constructing force-closure grasps in 3D.” Proceedings.

Tactile-based Reinforcement Learning for Adaptive Grasping under Observation Uncertainties ”Constructing force-closure grasps in 3D.” Proceedings

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:41.349640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b726ee75-7962-4c40-a371-b38d52a3c36d · outbound

This paper cites ”A model-based scooping grasp for the autonomous picking of unknown objects with a two-fingered gripper.” Robotics and Autonomous Systems 106 (2018): 14-25.

Tactile-based Reinforcement Learning for Adaptive Grasping under Observation Uncertainties ”A model-based scooping grasp for the autonomous picking of unknown objects with a two-fingered gripper.” Robotics and Autonomous Systems 106 (2018): 14-25

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:41.185624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 46dd4f46-c46b-4702-94a9-80bedd04b0d2 · outbound

This paper cites ”Model-based strategy for grasping 3D de- formable objects using a multi-fingered robotic hand.” Robotics and Autonomous Systems 95 (2017): 196-206.

Tactile-based Reinforcement Learning for Adaptive Grasping under Observation Uncertainties ”Model-based strategy for grasping 3D de- formable objects using a multi-fingered robotic hand.” Robotics and Autonomous Systems 95 (2017): 196-206

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:41.062760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4f1bc80c-5985-4601-8333-58b0e3643bd1 · outbound

This paper cites ”Acronym: A large-scale grasp dataset based on simulation.” 2021 IEEE Interna- tional Conference on Robotics and Automation (ICRA).

Tactile-based Reinforcement Learning for Adaptive Grasping under Observation Uncertainties ”Acronym: A large-scale grasp dataset based on simulation.” 2021 IEEE Interna- tional Conference on Robotics and Automation (ICRA)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:40.947378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3eabde55-c717-40d8-9319-8ee9bd147568 · outbound

This paper cites ”Jacquard: A large scale dataset for robotic grasp detection.” 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Tactile-based Reinforcement Learning for Adaptive Grasping under Observation Uncertainties ”Jacquard: A large scale dataset for robotic grasp detection.” 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:40.776999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f6093eb3-c88f-4681-8408-d57914526179 · outbound

This paper cites ”6-dof grasp- net: Variational grasp generation for object manipulation.” Proceedings of the IEEE/CVF international conference on computer vision.

Tactile-based Reinforcement Learning for Adaptive Grasping under Observation Uncertainties ”6-dof grasp- net: Variational grasp generation for object manipulation.” Proceedings of the IEEE/CVF international conference on computer vision

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:40.623611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 27b8351f-d5d6-419e-b605-de4ef865790d · outbound

This paper cites Improved GQ-CNN: Deep Learning Model for Planning Robust Grasps.

Tactile-based Reinforcement Learning for Adaptive Grasping under Observation Uncertainties Improved GQ-CNN: Deep Learning Model for Planning Robust Grasps

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:40.107283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23378e45-1c08-46bb-90cb-f59bdeeb03e2 · outbound

This paper cites ”Deep exploration via bootstrapped DQN.” Ad- vances in neural information processing systems 29 (2016).

Tactile-based Reinforcement Learning for Adaptive Grasping under Observation Uncertainties ”Deep exploration via bootstrapped DQN.” Ad- vances in neural information processing systems 29 (2016)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:40.497082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 4e502229-379e-4620-b833-cfe5e13ab452 · inbound

Human-Centric Transferable Tactile Pre-Training for Dexterous Robotic Manipulation cites this paper.

Human-Centric Transferable Tactile Pre-Training for Dexterous Robotic Manipulation Tactile-based Reinforcement Learning for Adaptive Grasping under Observation Uncertainties

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:26:54.065097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.