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Paper Citation Record · LEDGER

LOTUSim: Multi-Domain Simulator for Marine Robotics

As of 10 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.03072.

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

pith.paper-citation-record.v1
2607.03072 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T05:05:36.578922Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

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

43 of 43 outbound references displayed

  • verified exact8
  • verified fuzzy0
  • unresolved31
  • parse uncertain0
  • malformed identifier4
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bd28e09d-733e-4f2d-97ea-249551a80f9b · outbound

This paper cites Symbiosim: Human-in-the-loop simulation platform for bidirectional continuing learning in human–robot interaction,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Symbiosim: Human-in-the-loop simulation platform for bidirectional continuing learning in human–robot interaction,

Reference 1

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:a8322dd1ef653fb826485bb5d56332205840696821d312325e763707b0f6f696

Observation 687d053f-2c11-4b26-9edc-595a6e3068e6 · outbound

This paper cites Marinegym: A high-performance reinforcement learning platform for underwater robotics,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Marinegym: A high-performance reinforcement learning platform for underwater robotics,

Reference 4

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:da6d92f632a9236d21e4a66cab544cb0f20e5bfc4b2306490a2faa7714d4a580

Observation 3088208f-8ae4-4f5f-8779-044b3b0d13d5 · outbound

This paper cites Stonefish: Supporting Machine Learning Research in Marine Robotics.

LOTUSim: Multi-Domain Simulator for Marine Robotics Stonefish: Supporting Machine Learning Research in Marine Robotics

Reference 5

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:d73f6bddb2a29cac68b5127d9543b8464b6a94622c7b3e00975af662d05dcf3b

Observation 3fd31e1c-72ff-498e-aeac-fa6ce02df720 · outbound

This paper cites HoloOcean: An underwater robotics simulator,.

LOTUSim: Multi-Domain Simulator for Marine Robotics HoloOcean: An underwater robotics simulator,

Reference 6

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:0879c7cabd67668873760960b31a550d594477c27ca3a234d2766717aa704172

Observation e2564927-74c1-441b-8469-0a96aecdf235 · outbound

This paper cites A preview of holoocean 2.0,.

LOTUSim: Multi-Domain Simulator for Marine Robotics A preview of holoocean 2.0,

Reference 7

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:f55caed2ca5ac74b3a602ff68631c16fa32ff87b04836a8fc27505baa46a9ca5

Observation bc40e265-7338-4046-bf63-5ff533f195c4 · outbound

This paper cites Unmanned surface vehicle simulator with realistic environmental disturbances,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Unmanned surface vehicle simulator with realistic environmental disturbances,

Reference 8

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no resolver link, observed 2026-07-12T05:05:36.578922Z

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:895f693e3dacc37bd24d1b41ffc86309484713f78f4729cbcf087560bc7ab4a0

Observation c07df005-8e3f-4b21-9083-fd45f6c7017d · outbound

This paper cites Available: http://dx.doi.org/10.3390/s19051068.

LOTUSim: Multi-Domain Simulator for Marine Robotics Available: http://dx.doi.org/10.3390/s19051068

Reference 9

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verified exact
doi, observed 2026-07-12T05:08:30.703486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:94430aad2f80d975940794806fece375ff019b89ec855a8efd26480d70aefd3e

Observation 74c59da5-6235-47f1-a9f0-4af1ffe3a3e2 · outbound

This paper cites From Concept to Field Tests: Accelerated Development of Multi-AUV Missions Using a High-Fidelity Faster-than-Real-Time Simulator.

LOTUSim: Multi-Domain Simulator for Marine Robotics From Concept to Field Tests: Accelerated Development of Multi-AUV Missions Using a High-Fidelity Faster-than-Real-Time Simulator

Reference 11

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:add7480ac46b8dc113d5d658a985e5074f9dadb5bc7f8228ee4ca6b52632899f

Observation fb49da49-cebf-46a2-af6b-a90e5fe0f17a · outbound

This paper cites Uuv simulator: A gazebo-based package for underwater intervention and multi-robot simulation,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Uuv simulator: A gazebo-based package for underwater intervention and multi-robot simulation,

Reference 12

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:50ae9a110d3a2732cd324916175eba553bd05443203d99a34710e68398f28c8d

Observation 0b7d0789-0dab-4f02-a299-b941d1ab3c47 · outbound

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

LOTUSim: Multi-Domain Simulator for Marine Robotics Dave aquatic virtual environment: Toward a general underwater robotics simulator,

Reference 13

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:623605578c57cc6b4841d121565d406198467e0472de4c31d2a8baec6fc4704c

Observation 89cf9d21-98fe-483a-8dfe-94460283dafe · outbound

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

LOTUSim: Multi-Domain Simulator for Marine Robotics DAVE Aquatic Virtual Environment: Toward a General Underwater Robotics Simulator

Reference 14

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:93c8d38aeb50ad144836db985b4fd4aa6f938c57d19a0da6fbd6b169f526a455

Observation 87cd832a-5416-48fe-aca3-40de3ce9aeca · outbound

This paper cites AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles.

LOTUSim: Multi-Domain Simulator for Marine Robotics AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles

Reference 15

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:3eb092675de24ec31972c799e29c29119cee26f9ecf1a46529dbd4c1a711e1c8

Observation 544a6a51-ae84-4db4-ab13-ad28d743cb88 · outbound

This paper cites Empower Entity Set Expansion via Language Model Probing.

LOTUSim: Multi-Domain Simulator for Marine Robotics Empower Entity Set Expansion via Language Model Probing

Reference 16

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:4310a0a04482d92c2e7882d10baabe3b301e82bd68ced306f51012a2bfa43b9c

Observation d3cf8952-6a47-476d-a79e-42d885abca5c · outbound

This paper cites A tensorial approach to computational continuum mechanics using object-oriented techniques,.

LOTUSim: Multi-Domain Simulator for Marine Robotics A tensorial approach to computational continuum mechanics using object-oriented techniques,

Reference 17

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:f34276c3663f6d744876ca4ac759a1db978f320a45fa65095191d639a7d507f7

Observation d5f634b3-d175-40c0-914f-ba328fe874e7 · outbound

This paper cites Available: http://dx.doi.org/10.1063/1.168744.

LOTUSim: Multi-Domain Simulator for Marine Robotics Available: http://dx.doi.org/10.1063/1.168744

Reference 18

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:ccb278fa4da8bf04c40c9b8153b6d7cb135744927792670e107b1073428fb5eb

Observation c459b541-8d88-4195-b9b3-3ee94f6cce50 · outbound

This paper cites Quadrotor flight simulation in a cfd-generated urban wind field,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Quadrotor flight simulation in a cfd-generated urban wind field,

Reference 19

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no resolver link, observed 2026-07-12T05:05:36.578922Z

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:a4e8ecdece2ef7f62a07ef2e0105b76f09ed0629f039846f59b732fa646e07a9

Observation 1a3ac777-d25f-4afa-9238-3a8a72c52ba1 · outbound

This paper cites OceanSim: A GPU-Accelerated Underwater Robot Perception Simulation Framework.

LOTUSim: Multi-Domain Simulator for Marine Robotics OceanSim: A GPU-Accelerated Underwater Robot Perception Simulation Framework

Reference 20

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:00f1beff2993cf3dd6ec78740f599cd11a1395ff962ffb6a60025fd32daf114c

Observation 7767a45b-fd41-4967-aa37-d6d8f5076e78 · outbound

This paper cites Unav-sim: A visually realistic underwater robotics simulator and synthetic data-generation framework,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Unav-sim: A visually realistic underwater robotics simulator and synthetic data-generation framework,

Reference 21

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:61c4d7d2e04c1885f668c0dd0334a6282e42d2240c552d5c973e9390fa03164f

Observation aef6d0f5-8869-4aa5-a326-9b5b1d11f5dd · outbound

This paper cites Open source simulator for unmanned underwater vehicles using ros and unity3d,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Open source simulator for unmanned underwater vehicles using ros and unity3d,

Reference 22

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arxiv_id, observed 2026-07-12T05:08:30.718096Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:2c0e41dd79a30551ca8d1a2ddbf78453598ebf74f34626fd3c160e7cc62c4b9f

Observation 3c580aa3-4e0d-4490-86d5-1fdf7b660ead · outbound

This paper cites Ferber and G.

LOTUSim: Multi-Domain Simulator for Marine Robotics Ferber and G

Reference 23

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:5dd8ef1b04b012fc0f1c998e99eed223ff8b8db72d40357ad4d68ba27e8cfe54

Observation 074f49d4-e1ac-47cf-8bda-80ecb1afc88b · outbound

This paper cites Ros2 and ignition: Towards scalable simulation of distributed robotic systems,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Ros2 and ignition: Towards scalable simulation of distributed robotic systems,

Reference 24

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:f2f293c69009ec99afada3838cc6681e4bc544288b18d0e61b381cadfe9cab40

Observation 0a6f926d-243e-422b-8ab5-6d18a85cdd4f · outbound

This paper cites Effect of frame rate on user experience, performance and simulator sickness in virtual reality,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Effect of frame rate on user experience, performance and simulator sickness in virtual reality,

Reference 25

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:c34be952fc17cd39e0316eb82622cedb3d8114a095b5a4cc17403f90f527ee3d

Observation 7ad39ef5-ea78-4b3a-8ea8-c79ac463262e · outbound

This paper cites Perceptual thresholds for display lag in a real visual environment,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Perceptual thresholds for display lag in a real visual environment,

Reference 26

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:aff29081c6b83fea338fa33e4451c9e9038b085acaed60d8278567747717090e

Observation f704fa37-fbc3-4469-9c01-d62298a63ac6 · outbound

This paper cites Embracing the lag: Real- time challenges in multi-agent systems,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Embracing the lag: Real- time challenges in multi-agent systems,

Reference 27

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:37c61023f1f9d5d0c099adacd195f2ab03bb544518ba718c224b3cdc716bf6b8

Observation e523c7ca-69e6-4a66-b0ef-6c00f6512ddd · outbound

This paper cites Ekman drift currents in the arctic ocean,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Ekman drift currents in the arctic ocean,

Reference 28

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:0a5c7e88bb4f3898020c6010115dd0f9ac4ef487f15d36beacdb69d5e6f58335

Observation 753d56ab-1982-4d17-8f92-893a16d227ee · outbound

This paper cites POND and G.

LOTUSim: Multi-Domain Simulator for Marine Robotics POND and G

Reference 29

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:79013f4c3fe0fa861a03bcff22cdf6e4a8019d5f2260787c681dda5239b8501a

Observation 23e2bc24-c494-4d54-b2fb-e63858281a5a · outbound

This paper cites an unresolved cited work.

LOTUSim: Multi-Domain Simulator for Marine Robotics Unresolved cited work

Reference 30

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:380a38ef0e8171a4120181240f4df0c62a11d834da130889ac4b69157dde0d29

Observation ddf2a2cb-a122-476b-8e7e-b54ab465a9e0 · outbound

This paper cites Cn-aeromodels: A c++ implementation of aerodynamic models for wind propulsion systems of cargo ships,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Cn-aeromodels: A c++ implementation of aerodynamic models for wind propulsion systems of cargo ships,

Reference 31

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:4af63d4e00bb3420a320682883aa228fdd714168feee75acf737f54e502c8f4e

Observation 6e9d8fe4-aabf-4095-9e06-44c260b031bb · outbound

This paper cites Available: http://dx.doi.org/10.21105/joss.06940.

LOTUSim: Multi-Domain Simulator for Marine Robotics Available: http://dx.doi.org/10.21105/joss.06940

Reference 32

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verified exact
doi, observed 2026-07-12T05:08:30.749459Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:85ae86ca1b227c25a3dbc27b60e87b0451144e2672b73c3173b60fda2985dcbd

Observation 768e9e8f-77ea-42f9-af50-aea5444f0c85 · outbound

This paper cites Goda, Random Seas and Design of Maritime Structures.

LOTUSim: Multi-Domain Simulator for Marine Robotics Goda, Random Seas and Design of Maritime Structures

Reference 33

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doi_truncated, observed 2026-07-12T05:08:30.683190Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:ab45f1cf1c456702d018b3ab788b8a1256eebd158b2782ba62185a6b08e07c0d

Observation dcf59906-a1e2-4609-943c-a1105f48500a · outbound

This paper cites An empirical model for random directional wave kinematics near the free surface,.

LOTUSim: Multi-Domain Simulator for Marine Robotics An empirical model for random directional wave kinematics near the free surface,

Reference 34

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verified exact
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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:78709a342ef8b7101f45e290c614cd0e837bb5e01243d65f250fc94dc1a543c6

Observation c4328f8c-aa8d-4932-a066-0de5f6b47209 · outbound

This paper cites Stewart, Introduction to Physical Oceanography.

LOTUSim: Multi-Domain Simulator for Marine Robotics Stewart, Introduction to Physical Oceanography

Reference 35

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:a9c666e524d121023a623bf576ac37253471a9187f6fa388256539a4884de24c

Observation 1ed583ac-1010-4be9-9c70-552cdce26a19 · outbound

This paper cites Physics across oceanography: Fluid mechanics and waves,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Physics across oceanography: Fluid mechanics and waves,

Reference 36

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:50b1c9ac6c71b94bd848b07cc22abc625816c63dd55255bdc86c7c520acafe26

Observation 9bcfa70b-9257-4f84-8703-c1e4a7dcc179 · outbound

This paper cites Ekman-type solutions for shallow-water flows on a rotating sphere: A new perspective on a classical problem,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Ekman-type solutions for shallow-water flows on a rotating sphere: A new perspective on a classical problem,

Reference 37

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verified exact
doi, observed 2026-07-12T05:08:30.692639Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:ec281ca49acfd9eac0b4ae524438408a375a39774edc48fd032cd78791b8ee0a

Observation a8b602d0-af8e-4345-9a60-8377a335050e · outbound

This paper cites Cushman-Roisin and J.-M.

LOTUSim: Multi-Domain Simulator for Marine Robotics Cushman-Roisin and J.-M

Reference 38

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:dd3dfc6073ce542084f6139048fee28ef260b8342f3be60ac4784b2e3cb968a1

Observation 5fc0c700-57e2-4d93-b8c8-97dc7cb8ef29 · outbound

This paper cites Revised estimates of ocean surface drag in strong winds,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Revised estimates of ocean surface drag in strong winds,

Reference 39

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:716f0cde2549e72931a1085492ae1c881c152b3c543dff0dab43cc1c4c23c074

Observation b1d383cb-583d-4b98-8594-e89874465697 · outbound

This paper cites Available: http://dx.doi.org/10.1029/2020GL087647.

LOTUSim: Multi-Domain Simulator for Marine Robotics Available: http://dx.doi.org/10.1029/2020GL087647

Reference 40

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doi, observed 2026-07-12T05:08:30.688020Z

Source-reported events for the cited work

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Observation d10267c3-ecbd-49f0-bcc7-fee16f47699c · outbound

This paper cites Predicting the ocean currents using deep learning,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Predicting the ocean currents using deep learning,

Reference 41

Resolution
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Observation 7d853558-35a8-4fbb-881e-52cb61109bbf · outbound

This paper cites Predicting the Ocean Currents using Deep Learning.

LOTUSim: Multi-Domain Simulator for Marine Robotics Predicting the Ocean Currents using Deep Learning

Reference 42

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no resolver link, observed 2026-07-12T05:05:36.578922Z

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Observation 8c0496ed-8160-486c-961b-a7bf6a867ce8 · outbound

This paper cites Estimating ocean surface currents with machine learning,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Estimating ocean surface currents with machine learning,

Reference 43

Resolution
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arxiv_id, observed 2026-07-12T05:08:30.728542Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a2bd12ad-2f3b-45aa-b165-9203afed95ab · outbound

This paper cites Prediction of dominant ocean parameters for sustainable marine environment,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Prediction of dominant ocean parameters for sustainable marine environment,

Reference 44

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Observation 7370e651-b91a-4259-98ec-01607b629e6c · outbound

This paper cites ASVSim (AirSim for Surface Vehicles): A High-Fidelity Simulation Framework for Autonomous Surface Vehicle Research.

LOTUSim: Multi-Domain Simulator for Marine Robotics ASVSim (AirSim for Surface Vehicles): A High-Fidelity Simulation Framework for Autonomous Surface Vehicle Research

Reference 45

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Observation c87a1a25-5ca3-4bb1-a61d-2fbde0107ebc · outbound

This paper cites Control reallocation using deep reinforcement learning for actuator fault recovery of an autonomous underwater vehicle,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Control reallocation using deep reinforcement learning for actuator fault recovery of an autonomous underwater vehicle,

Reference 46

Resolution
unresolved
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Pith citing papers

No inbound Pith citation observations are available.