Paper Citation Record · LEDGER

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots

As of 5 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2510.07869.

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

pith.paper-citation-record.v1
2510.07869 v4

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T08:20:24.424886Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:00:18.089291Z

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 exact7
verified fuzzy25
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b93b3e3f-f2ca-4289-b70c-d179d9d2384e · outbound

This paper cites A bioinspired multimotion modality underwater micro- robot.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots A bioinspired multimotion modality underwater micro- robot

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.725792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5314882c-6cdc-46a0-a698-fc1c84250b82 · outbound

This paper cites Explo- ration of underwater life with an acoustically controlled soft robotic fish.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots Explo- ration of underwater life with an acoustically controlled soft robotic fish

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.761258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8fbe4492-b01a-414a-88a3-53891d6594dc · outbound

This paper cites HITTER: A HumanoId Table TEnnis Robot via Hierarchical Planning and Learning.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots HITTER: A HumanoId Table TEnnis Robot via Hierarchical Planning and Learning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:20:31.798161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 89ad2699-8fa1-44a4-9ecc-a610b27e69d2 · outbound

This paper cites Quart–online: Latency–free multimodal large language model for quadruped robot learning.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots Quart–online: Latency–free multimodal large language model for quadruped robot learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.781328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fb2b4af7-759f-4d0f-b6ac-fb44001740cb · outbound

This paper cites Self–improving autonomous underwater manipulation.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots Self–improving autonomous underwater manipulation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.753400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8d9c63cc-53ab-4a8c-a7fe-5af7028d650a · outbound

This paper cites A shared autonomy system for precise and efficient remote underwater manipulation.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots A shared autonomy system for precise and efficient remote underwater manipulation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.755949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c5b2fcb5-ff93-44af-98ee-8edaae50c3d0 · outbound

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

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots Angler: An autonomy framework for intervention tasks with lightweight underwater vehicle manipulator systems

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.751099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dc0d5f6a-8e2a-4c16-a0ef-60f6758ecfee · outbound

This paper cites Stonefish: An advanced open–source simulation tool designed for marine robotics, with a ros interface.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots Stonefish: An advanced open–source simulation tool designed for marine robotics, with a ros interface

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.783960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4925a1c3-3030-4367-83bb-5760023fc797 · outbound

This paper cites Stonefish: Supporting machine learning research in marine robotics.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots Stonefish: Supporting machine learning research in marine robotics

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.786689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 72eb214f-c039-4cb3-abe4-97c14d8543df · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-25T08:20:31.773923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 87f175d3-69d0-4aac-8803-727c24360198 · outbound

This paper cites Deformation control and thrust analysis of a flexible fishtail with muscle-like actuation.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots Deformation control and thrust analysis of a flexible fishtail with muscle-like actuation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.769332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8e6ce123-dd5d-4983-8a5e-026070fb8761 · outbound

This paper cites Intelligent path planning of underwater robot based on reinforcement learning.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots Intelligent path planning of underwater robot based on reinforcement learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.778250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 95f5c800-7342-4a5e-8f93-21aaf81ac711 · outbound

This paper cites Multi– agent generative adversarial interactive self–imitation learning for auv formation control and obstacle avoidance.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots Multi– agent generative adversarial interactive self–imitation learning for auv formation control and obstacle avoidance

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.730825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 347e7cd1-d86f-47f8-8440-f84250776835 · outbound

This paper cites Target tracking control of a biomimetic underwater vehicle through deep reinforcement learning.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots Target tracking control of a biomimetic underwater vehicle through deep reinforcement learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.763875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4dcd3e6e-4f0c-4eed-a80a-88c0ab4c0b8b · outbound

This paper cites Dynamic robotic tracking of underwater targets using reinforcement learning.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots Dynamic robotic tracking of underwater targets using reinforcement learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.736027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cd736b48-62b8-4ff8-9bc9-5a39b522ff73 · outbound

This paper cites Uivnav: Underwater information–driven vision–based navigation via imitation learning.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots Uivnav: Underwater information–driven vision–based navigation via imitation learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.733234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4439add5-b347-4467-bfea-f705aeb145f7 · outbound

This paper cites An improved SAC–based deep reinforcement learning framework for collaborative pushing and grasping in underwater environments.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots An improved SAC–based deep reinforcement learning framework for collaborative pushing and grasping in underwater environments

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.758563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5b141802-0af7-47dc-a85b-1c75fbb1dc82 · outbound

This paper cites Distributed AI Agents for Cognitive Underwater Robot Autonomy.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots Distributed AI Agents for Cognitive Underwater Robot Autonomy

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:20:31.792991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b20fcdd4-d3ca-42d0-8263-e73711460807 · outbound

This paper cites Underwater vision-based gesture recognition: A robustness validation for safe human–robot interaction.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots Underwater vision-based gesture recognition: A robustness validation for safe human–robot interaction

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.766691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 900ff11e-e0e9-4c9d-9ab3-13ec80b1efe0 · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-25T08:20:31.784561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ee821d12-969f-488b-97d3-9c608fe8c715 · outbound

This paper cites Open X-embodiment: Robotic learning datasets and RT-X models : Open X-embodiment collaboration0.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots Open X-embodiment: Robotic learning datasets and RT-X models : Open X-embodiment collaboration0

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.748613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f617f6ae-a0c7-411a-8ef0-865c932e9f36 · outbound

This paper cites AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-25T08:20:31.788481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c7620cb5-d320-4e18-a388-ed76c2e6694a · outbound

This paper cites Rt-2: Vision-language-action models transfer web knowledge to robotic control.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots Rt-2: Vision-language-action models transfer web knowledge to robotic control

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.771918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 10de43a7-1b65-4468-a361-f06c71468ad4 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots OpenVLA: An Open-Source Vision-Language-Action Model

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-25T08:20:31.779385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6e8a0966-ba59-48b4-9bad-b7d286e6979b · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-25T08:20:31.803123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4ffb7eff-22ca-47ad-8edf-0a136c836326 · outbound

This paper cites The varos synthetic underwater data set: Towards realistic multi-sensor underwater data with ground truth.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots The varos synthetic underwater data set: Towards realistic multi-sensor underwater data with ground truth

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.738467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3ba2f684-fb08-4f3b-b204-565e0735aeaf · outbound

This paper cites An underwater image enhancement benchmark dataset and beyond.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots An underwater image enhancement benchmark dataset and beyond

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.742951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9a11e843-126e-4dea-a226-a937569c7525 · outbound

This paper cites Aqualoc: An underwater dataset for visual–inertial–pressure localization.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots Aqualoc: An underwater dataset for visual–inertial–pressure localization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.740845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 00f24d28-d04f-45d1-9f2c-e609a7b19d66 · outbound

This paper cites Underwater caves sonar data set.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots Underwater caves sonar data set

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.719606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 86815c17-5250-4eb3-89e0-595b3b0ff389 · outbound

This paper cites Self–supervised underwater image generation for underwater domain pre–training.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots Self–supervised underwater image generation for underwater domain pre–training

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.745931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e4e24149-aa3f-4921-b985-d092d43a59f7 · outbound

This paper cites Urobench: Comparative analyses of underwater robotics sim- ulators from reinforcement learning perspective.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots Urobench: Comparative analyses of underwater robotics sim- ulators from reinforcement learning perspective

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.728342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 55295a63-9144-4fd7-825d-151998f97eff · outbound

This paper cites Fishgym: A high–performance physics–based simulation framework for under- water robot learning.

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots Fishgym: A high–performance physics–based simulation framework for under- water robot learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T08:20:32.722226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 09449f62-05a7-4bce-8131-1653c0f4ae0a · inbound

AquaJEPA: Action-Conditioned Multimodal Predictive Representations for Underwater Robot Dynamics cites this paper.

AquaJEPA: Action-Conditioned Multimodal Predictive Representations for Underwater Robot Dynamics USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T08:00:18.089291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.