Paper Citation Record · LEDGER

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection

As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2507.16941.

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

pith.paper-citation-record.v1
2507.16941 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:04:18.513580Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

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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

33 of 33 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c764d9d3-0718-4d95-9f93-266aa01736fe · outbound

This paper cites Introduction to coral reef ecosystems, threats, and solutions,.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Introduction to coral reef ecosystems, threats, and solutions,

Reference 1

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Observation dce682b1-9b3a-49d3-93ff-7a8caa145164 · outbound

This paper cites Microbial nitrogen removal in reef-building corals: A light-sensitive process,.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Microbial nitrogen removal in reef-building corals: A light-sensitive process,

Reference 2

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Observation 105aaefa-26ee-499b-a3a5-53df492cba98 · outbound

This paper cites Coral reefs and climate change: Examining two institutional approaches to managing a novel marine ecosystem,.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Coral reefs and climate change: Examining two institutional approaches to managing a novel marine ecosystem,

Reference 3

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Observation 1e86af04-c6d0-4144-af08-fb3ce4353546 · outbound

This paper cites Func- tion and stability of mesophotic coral reefs,.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Func- tion and stability of mesophotic coral reefs,

Reference 4

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Observation 99fb8bec-6eeb-42be-a938-910e7f8f01db · outbound

This paper cites From marketready ROVs to lowcost AUVs,.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection From marketready ROVs to lowcost AUVs,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:04:21.243444Z

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Observation 8e5d8958-39b9-43bb-af1e-8853bfbb5965 · outbound

This paper cites Dynamic water physics 2,.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Dynamic water physics 2,

Reference 7

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Observation 05052b1c-fa8e-4ec2-9341-01bd1c98adb3 · outbound

This paper cites Uncrewed maritime sys- tems for coral reef conservation,.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Uncrewed maritime sys- tems for coral reef conservation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:04:21.223492Z

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Observation 8b192625-edd5-45ca-ac60-0b7466fb35ff · outbound

This paper cites Motion control of autonomous underwater vehicle based on physics-informed offline reinforcement learning,.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Motion control of autonomous underwater vehicle based on physics-informed offline reinforcement learning,

Reference 9

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This paper cites The NDRE-AUV flight control system,.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection The NDRE-AUV flight control system,

Reference 10

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Source-reported events for the cited work

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Observation dd6a50b7-9c1d-4ce0-b322-e6a41f12202b · outbound

This paper cites Trajectory tracking control of AUVs via adaptive fast nonsingular integral terminal sliding mode control,.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Trajectory tracking control of AUVs via adaptive fast nonsingular integral terminal sliding mode control,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:04:21.102116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d4668492-7139-4928-80a8-1728b38b244f · outbound

This paper cites Trajectory tracking control of an autonomous underwater vehicle using Lyapunov-based model predic- tive control,.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Trajectory tracking control of an autonomous underwater vehicle using Lyapunov-based model predic- tive control,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:04:20.873056Z

Source-reported events for the cited work

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Observation ab61fcb1-2994-4904-af7d-99759e76dc96 · outbound

This paper cites Angler: An autonomy framework for intervention tasks with lightweight underwater vehicle manipulator systems,.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Angler: An autonomy framework for intervention tasks with lightweight underwater vehicle manipulator systems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:04:20.581913Z

Source-reported events for the cited work

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Observation f9c1e148-f294-4983-b6c5-40c953e3864c · outbound

This paper cites Disturbance observer-based fuzzy adapted s-surface controller for spatial trajectory tracking of autonomous underwater vehicle,.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Disturbance observer-based fuzzy adapted s-surface controller for spatial trajectory tracking of autonomous underwater vehicle,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:04:20.451280Z

Source-reported events for the cited work

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Observation 25acd1ea-3049-43b4-b882-efcabaf8fdfd · outbound

This paper cites Adaptive neural network control of a marine vessel with constraints using the asymmetric barrier Lyapunov function,.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Adaptive neural network control of a marine vessel with constraints using the asymmetric barrier Lyapunov function,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:04:20.278401Z

Source-reported events for the cited work

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Observation 3a4d5e4f-55e8-45af-b2d0-694a8a2c4ffc · outbound

This paper cites A general motion control architecture for an autonomous underwater vehicle with actuator faults and unknown disturbances through deep reinforcement learning,.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection A general motion control architecture for an autonomous underwater vehicle with actuator faults and unknown disturbances through deep reinforcement learning,

Reference 16

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Source-reported events for the cited work

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Observation 67042f78-8343-46fd-b9a9-340c6e3f8830 · outbound

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

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Learning to Swim: Reinforcement Learning for 6-DOF Control of Thruster-driven Autonomous Underwater Vehicles

Reference 17

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Observation b2075140-0b08-451f-bbd1-9904d04c8cd7 · outbound

This paper cites Design and use paradigms for Gazebo, an open-source multi-robot simulator,.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Design and use paradigms for Gazebo, an open-source multi-robot simulator,

Reference 18

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

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Mujoco: A physics engine for model-based control,

Reference 19

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This paper cites Dave aquatic virtual environment: Toward a general underwater robotics simulator,.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Dave aquatic virtual environment: Toward a general underwater robotics simulator,

Reference 20

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Observation ceeabe7a-3c8b-4c47-891d-4e1cbfcb964f · outbound

This paper cites Overcoming the sim- to-real gap in autonomous robots,.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Overcoming the sim- to-real gap in autonomous robots,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:04:19.702956Z

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Observation ad9ed640-4334-4232-a3e2-eccb1f5f082a · outbound

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Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection BlueROV2,

Reference 22

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This paper cites 6-DoF modelling and control of a remotely operated vehicle,.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection 6-DoF modelling and control of a remotely operated vehicle,

Reference 23

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Observation 42f1eccf-c075-44eb-9d71-0cddaa6fe9e9 · outbound

This paper cites [Online].

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection [Online]

Reference 24

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This paper cites Proximal Policy Optimization Algorithms.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Proximal Policy Optimization Algorithms

Reference 25

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Observation f90d2b02-5cd8-42b5-bad1-00e4bb9ce119 · outbound

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Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Reference 26

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Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Bluerov2 datasheet,

Reference 27

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This paper cites The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

Reference 28

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This paper cites A survey and comparative evaluation of actor-critic methods in process control,.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection A survey and comparative evaluation of actor-critic methods in process control,

Reference 29

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This paper cites Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 31

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This paper cites Handbook of marine craft hydrodynamics and motion control [bookshelf],.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Handbook of marine craft hydrodynamics and motion control [bookshelf],

Reference 34

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Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Water linked BlueROV2 integration,

Reference 35

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Observation f4fd9030-9254-4a82-90cc-d5de653de71d · outbound

This paper cites Unity: A General Platform for Intelligent Agents.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Unity: A General Platform for Intelligent Agents

Reference 2020

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Observation d619953c-e86f-4345-90dc-3f13fc0060c6 · outbound

This paper cites DAVE Aquatic Virtual Environment: Toward a General Underwater Robotics Simulator.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection DAVE Aquatic Virtual Environment: Toward a General Underwater Robotics Simulator

Reference 2022

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Pith citing papers

No inbound Pith citation observations are available.