Pith. sign in

Paper Citation Record · LEDGER

Stonefish: Supporting Machine Learning Research in Marine Robotics

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2502.11887.

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

pith.paper-citation-record.v1
2502.11887 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:02:04.928700Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 74615b41-c1c6-4854-ae82-00914c03f9c1 · inbound

PyGemini: Unified Software Development towards Maritime Autonomy Systems cites this paper.

PyGemini: Unified Software Development towards Maritime Autonomy Systems Stonefish: Supporting Machine Learning Research in Marine Robotics

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T06:02:04.928700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:04.928700Z digest=sha256:ddb1638e2eecac228644e630c840f35a801465b614057405e734cebede75d28c

Observation bdb900d0-704c-450b-b466-a49a65daeb39 · inbound

A Review of Generative AI in Aquaculture: Foundations, Applications, and Future Directions for Smart and Sustainable Farming cites this paper.

A Review of Generative AI in Aquaculture: Foundations, Applications, and Future Directions for Smart and Sustainable Farming Stonefish: Supporting Machine Learning Research in Marine Robotics

Reference 242

Resolution
unresolved
no resolver link, observed 2026-08-06T17:00:38.809255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:00:38.809255Z digest=sha256:89de0496c8df8a96741ed8185aa90b06576635d0e902d90a1ed88e0a7a3f0646

Observation 310d6a85-021b-416b-8c63-a7c2988812e1 · inbound

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

Distributed AI Agents for Cognitive Underwater Robot Autonomy Stonefish: Supporting Machine Learning Research in Marine Robotics

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T10:29:56.308697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:29:56.308697Z digest=sha256:65c38df2075210fbf42df623b6d52890e5ebdc1222f5050db21538c168d11010

Observation aef665a0-13d5-4d58-84a8-0452ac00dedb · inbound

A Collaborative Reasoning Framework for Anomaly Diagnostics in Underwater Robotics cites this paper.

A Collaborative Reasoning Framework for Anomaly Diagnostics in Underwater Robotics Stonefish: Supporting Machine Learning Research in Marine Robotics

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T00:03:23.591141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:03:23.591141Z digest=sha256:1c80ce4b19691a0245f253b536d506d03457e86a7d7b4bfe2786b7cd21c439e8

Observation c869b773-dde0-4a30-a8dd-c5e29dbc23eb · inbound

HyDRA Scorpion: A Cost-effective and Modular ROV for Real-Time Underwater Inspection, Intervention, and Object Detection cites this paper.

HyDRA Scorpion: A Cost-effective and Modular ROV for Real-Time Underwater Inspection, Intervention, and Object Detection Stonefish: Supporting Machine Learning Research in Marine Robotics

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:51:17.931301Z

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.

source=pdf_text observed=2026-05-12T02:48:11.126363Z digest=sha256:91ae6979bee034371573c90528549fa275d9669f416dff764d3d2aa82b80c89e

Observation ef384a64-427b-44df-a61c-7208cdd97825 · inbound

Traceable Virtual Sea Trials in the Marine Robotics Unity Simulator for Manoeuvring Assessment of Unmanned Surface Vehicles cites this paper.

Traceable Virtual Sea Trials in the Marine Robotics Unity Simulator for Manoeuvring Assessment of Unmanned Surface Vehicles Stonefish: Supporting Machine Learning Research in Marine Robotics

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T10:00:48.926220Z

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.

source=pdf_text observed=2026-06-27T09:57:06.439771Z digest=sha256:179065ba0ba1258a87884c6ec88566dc895957d42c5bfbd378f27e909f17738c

Observation 549e7f3d-8a12-491c-998f-d2b845350493 · inbound

Traceable Virtual Sea Trials in the Marine Robotics Unity Simulator for Manoeuvring Assessment of Unmanned Surface Vehicles cites this paper.

Traceable Virtual Sea Trials in the Marine Robotics Unity Simulator for Manoeuvring Assessment of Unmanned Surface Vehicles Stonefish: Supporting Machine Learning Research in Marine Robotics

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T10:37:56.698738Z

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.

source=pdf_text observed=2026-06-27T09:57:06.439771Z digest=sha256:34cb1e39959d3e223971fae34e092bc1f21f4e8f664396e51b1e0825e3b6e99a

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

LOTUSim: Multi-Domain Simulator for Marine Robotics cites this paper.

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

Reference 5

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:3c01f4ee78cf61445e183c0dfc0fc74966c80c8f8679a7073ec5441fcef46015