Paper Citation Record · LEDGER

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking

As of 16 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2506.17823.

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

pith.paper-citation-record.v1
2506.17823 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:03:28.394292Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:33:22.911566Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

verified exact1
verified fuzzy6
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db226de8-7d8c-4b35-b385-92c2ca98bc3c · outbound

This paper cites Auv-assisted subsea exploration method in 6g enabled deep ocean based on a cooperative pac-men mechanism,.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking Auv-assisted subsea exploration method in 6g enabled deep ocean based on a cooperative pac-men mechanism,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:28.051489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87eb8523-3d7e-4e2b-a328-270bb76cf47a · outbound

This paper cites Discov- ering biological hotspots with a passively listening auv,.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking Discov- ering biological hotspots with a passively listening auv,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:03:29.275530Z

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 c2dfe831-2e03-4b2f-90ee-1b4b769af348 · outbound

This paper cites An architecture for using autonomous underwater vehicles in wireless sensor networks for underwater pipeline monitoring,.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking An architecture for using autonomous underwater vehicles in wireless sensor networks for underwater pipeline monitoring,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:28.130287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dea08ac9-9684-4624-97b5-48249077970f · outbound

This paper cites Sim-to-Real: Learning Agile Locomotion For Quadruped Robots.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking Sim-to-Real: Learning Agile Locomotion For Quadruped Robots

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:28.137298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c932489-cee3-460b-8387-acca75bfd63b · outbound

This paper cites Learning to Swim: Reinforcement Learning for 6-DOF Control of Thruster-driven Autonomous Underwater Vehicles.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking Learning to Swim: Reinforcement Learning for 6-DOF Control of Thruster-driven Autonomous Underwater Vehicles

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:28.144661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 733fe2ee-13c0-4f50-ba60-6c8dda8b2065 · outbound

This paper cites Docking control of an autonomous underwater vehicle using reinforcement learning,.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking Docking control of an autonomous underwater vehicle using reinforcement learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:03:29.257060Z

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 5557e757-87d3-463d-8a64-eec0bd24de0b · outbound

This paper cites Autonomous underwater docking using flow state estimation and model predictive control,.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking Autonomous underwater docking using flow state estimation and model predictive control,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:03:29.238647Z

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 d2c49af9-05b9-4565-803f-c5259179c58d · outbound

This paper cites Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:03:28.617739Z

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 e2f614e7-f3f5-4044-b781-55e5a179749c · outbound

This paper cites Learning to walk in minutes using massively parallel deep reinforcement learning,.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking Learning to walk in minutes using massively parallel deep reinforcement learning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:28.166947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55f479fd-ebfc-4ca6-a182-50f300cc60c0 · outbound

This paper cites Sim-to-(multi)-real: Transfer of low-level robust control policies to multiple quadrotors,.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking Sim-to-(multi)-real: Transfer of low-level robust control policies to multiple quadrotors,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:28.172278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0da843ec-e827-43cf-8df3-d13679c048bd · outbound

This paper cites Sim-to-Real Learning for Humanoid Box Loco-Manipulation.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking Sim-to-Real Learning for Humanoid Box Loco-Manipulation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:28.177162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f2c5f48-92de-4f3b-a099-060bf30e628a · outbound

This paper cites Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:28.182608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12065415-7faa-43b2-9b1a-79a606d7f3dd · outbound

This paper cites Learning Memory-Based Control for Human-Scale Bipedal Locomotion.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking Learning Memory-Based Control for Human-Scale Bipedal Locomotion

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:28.189433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bcc33d3-1584-4e7e-854a-ddf932d1f730 · outbound

This paper cites Orbit: A unified simulation framework for interactive robot learning environments,.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking Orbit: A unified simulation framework for interactive robot learning environments,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:28.194832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbdc10da-4a49-4f67-a4f1-ac971e62b8e3 · outbound

This paper cites Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:28.199697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5c233e1-63a7-4002-9cd7-64f704f687ae · outbound

This paper cites Aerial gym simulator: A framework for highly parallelized simulation of aerial robots,.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking Aerial gym simulator: A framework for highly parallelized simulation of aerial robots,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:03:28.981759Z

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 398e4502-c744-4d8b-a6fe-a750340215ad · outbound

This paper cites CUREE: A curious un- derwater robot for ecosystem exploration,.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking CUREE: A curious un- derwater robot for ecosystem exploration,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:03:28.962702Z

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 ae069a7e-12ef-48a8-a8b5-2937765d9893 · outbound

This paper cites Mujoco: A physics engine for model-based control,.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking Mujoco: A physics engine for model-based control,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:28.216074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f6b1024-9a9c-4e2c-99f2-71237863977e · outbound

This paper cites The influence of thruster dynamics on underwater vehicle behavior and their incorporation into control system design,.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking The influence of thruster dynamics on underwater vehicle behavior and their incorporation into control system design,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:03:28.922888Z

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 26bfbcb4-f0aa-46f5-a3f1-9216bed1c000 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking Proximal Policy Optimization Algorithms

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:28.237831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9454d8d-8eb6-48fc-97b5-a56cceb4959a · outbound

This paper cites Learning Agile Robotic Locomotion Skills by Imitating Animals.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking Learning Agile Robotic Locomotion Skills by Imitating Animals

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:28.325768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9736703-5abd-4e4a-ad4c-fe460c1a23ea · outbound

This paper cites Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight.

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:28.394292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation f10b7d1b-beb4-4137-b98d-fdd9cb40a42e · inbound

Marinarium: A Modular Experimental Facility for Reproducible Maritime and Space-Analog Field Robotics cites this paper.

Marinarium: A Modular Experimental Facility for Reproducible Maritime and Space-Analog Field Robotics Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T20:33:22.911566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.