Paper Citation Record · LEDGER

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty

As of 6 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2604.19677.

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

pith.paper-citation-record.v1
2604.19677 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T02:18:13.486677Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:46:32.044308Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

verified exact8
verified fuzzy21
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22fff8f6-5977-4906-a652-a6c4bca7af93 · outbound

This paper cites A review of robotic as- sembly strategies for the full operation procedure: planning, execution and evaluation.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty A review of robotic as- sembly strategies for the full operation procedure: planning, execution and evaluation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:07:15.565194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 71a101a2-c84e-4729-9459-5cb8d76858e5 · outbound

This paper cites Inspection and maintenance of indus- trial infrastructure with autonomous underwater robots.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Inspection and maintenance of indus- trial infrastructure with autonomous underwater robots

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:07:15.545549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7a8ecd44-c045-4dcc-9442-287c060a855f · outbound

This paper cites Review of emerging surgical robotic technology.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Review of emerging surgical robotic technology

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:07:15.550249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c07ee445-b146-41cf-a15c-19d41c6918d0 · outbound

This paper cites Hybrid Position/Force Control of Ma- nipulators.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Hybrid Position/Force Control of Ma- nipulators

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:07:15.561721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1f40d6ef-f83c-4ea4-9feb-68ac6ec423f3 · outbound

This paper cites Chhatpar and M.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Chhatpar and M

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:07:15.554042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fed21665-6f21-4729-884d-f401b2bf8e22 · outbound

This paper cites Solving peg-in-hole tasks by human demonstration and exception strategies.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Solving peg-in-hole tasks by human demonstration and exception strategies

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:07:15.558049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a699fd37-b252-4910-a447-65ae401a09fb · outbound

This paper cites Compare Contact Model-based Control and Contact Model-free Learning: A Survey of Robotic Peg-in-hole Assembly Strategies.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Compare Contact Model-based Control and Contact Model-free Learning: A Survey of Robotic Peg-in-hole Assembly Strategies

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:06:05.893406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ed70770d-1ec3-453c-8deb-aea67a1a3188 · outbound

This paper cites Policy Search for Motor Primitives in Robotics.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Policy Search for Motor Primitives in Robotics

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:07:15.580641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e1b45911-b1c6-43bc-bf7d-1960a52adf71 · outbound

This paper cites Policy Representation via Diffusion Probability Model for Reinforcement Learning.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Policy Representation via Diffusion Probability Model for Reinforcement Learning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:06:05.942481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 55b8e814-b0dc-4b45-9394-92a7e238f145 · outbound

This paper cites FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under Uncertainty.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under Uncertainty

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:06:05.900348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation df46a721-f27e-4def-a880-b52ffc37b298 · outbound

This paper cites SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:07:15.593819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f1414cdd-3250-475a-b1f9-9c796c010546 · outbound

This paper cites Learning variable impedance control.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Learning variable impedance control

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:07:15.586854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e77d0db4-39f0-48ca-b7bd-42f5e228b8c5 · outbound

This paper cites Variable impedance control in end-effector space: An action space for reinforcement learning in contact-rich tasks.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Variable impedance control in end-effector space: An action space for reinforcement learning in contact-rich tasks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:07:15.569066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 370da571-a6d6-4a9d-824d-fca7b06b7dde · outbound

This paper cites Learning Force Control for Contact-Rich Manipulation Tasks With Rigid Position-Controlled Robots.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Learning Force Control for Contact-Rich Manipulation Tasks With Rigid Position-Controlled Robots

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:07:15.610472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1ede70a6-a260-4583-a52c-b6a60cec59e0 · outbound

This paper cites Evalua- tion of Variable Impedance- and Hybrid Force/MotionControllers for Learning Force Tracking Skills.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Evalua- tion of Variable Impedance- and Hybrid Force/MotionControllers for Learning Force Tracking Skills

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:07:15.572603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c4059acc-31ec-4af4-99bf-8ccd0b76b9d3 · outbound

This paper cites Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:07:15.614533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 64ddd2f2-3402-4c03-9d15-4dd054b7183a · outbound

This paper cites Specification of force-controlled actions in the.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Specification of force-controlled actions in the

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:07:15.621577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 40aa8553-4cf9-46a3-953e-bf597ac21e89 · outbound

This paper cites IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:06:05.967917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7e034691-409f-4597-8b59-edf301c52336 · outbound

This paper cites Uncertainty-Driven Spiral Trajectory for Robotic Peg-in-Hole Assembly.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Uncertainty-Driven Spiral Trajectory for Robotic Peg-in-Hole Assembly

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:07:15.597591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 44a64bd6-d30e-4729-846a-8eb437e8168f · outbound

This paper cites AugInsert: Learn- ing Robust Visual-Force Policies via Data Augmentation for Object Assembly Tasks.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty AugInsert: Learn- ing Robust Visual-Force Policies via Data Augmentation for Object Assembly Tasks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:07:15.590290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8b470adc-ac4e-4acf-b690-e0ccab48f909 · outbound

This paper cites Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:06:05.960910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e62ac3c9-7a64-410a-afc4-b3794bbb05d7 · outbound

This paper cites Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:06:05.927436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 22b9155d-c9a9-49c9-998e-4df3993c5dc0 · outbound

This paper cites Making Sense of Vision and Touch: Self- Supervised Learning of Multimodal Representations for Contact-Rich Tasks.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Making Sense of Vision and Touch: Self- Supervised Learning of Multimodal Representations for Contact-Rich Tasks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:07:15.604180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3c4690fa-db8e-4ffd-89ae-7399742cc548 · outbound

This paper cites Efficient Sim-to-real Transfer of Contact-Rich Manipulation Skills with Online Admittance Residual Learning.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Efficient Sim-to-real Transfer of Contact-Rich Manipulation Skills with Online Admittance Residual Learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:07:15.583683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7db51176-8ca8-438a-9a46-5c0bb3021412 · outbound

This paper cites A survey of robot manipulation in contact.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty A survey of robot manipulation in contact

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:07:15.600733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a79fe10e-ca5a-4a9b-b7dd-a2f23ef9f608 · outbound

This paper cites an unresolved cited work.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-05-22T23:07:15.576790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 91a45386-1b77-4445-b250-0b0774deaef6 · outbound

This paper cites Factory: Fast Contact for Robotic Assembly.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Factory: Fast Contact for Robotic Assembly

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:06:05.908205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 86c23b25-bad0-4efe-b9d3-0be083530e4c · outbound

This paper cites Siciliano, O.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Siciliano, O

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:07:15.607135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d8cb31fb-e3ce-4b8b-9f19-279fce67f358 · outbound

This paper cites Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:06:05.918524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 930dbdf3-b425-48cf-90c8-f154cc6b90ca · outbound

This paper cites Asymmetric Actor Critic for Image-Based Robot Learning.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Asymmetric Actor Critic for Image-Based Robot Learning

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:06:05.933909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f9ecae34-f5e5-4150-bac3-26272a63d259 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Proximal Policy Optimization Algorithms

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-11T13:06:05.952379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 494fe6eb-07aa-4159-b608-bf953f144f82 · outbound

This paper cites Simba: Simplicity bias for scaling up parameters in deep reinforcement learning.

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty Simba: Simplicity bias for scaling up parameters in deep reinforcement learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T23:07:15.617932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

Observation 46cf2aec-6556-41d9-92aa-8e6974be662a · inbound

Data and Learning Where it Matters for Contact-Rich Manipulation cites this paper.

Data and Learning Where it Matters for Contact-Rich Manipulation Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T21:46:32.044308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.