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Paper Citation Record · LEDGER

Stonefish: Supporting Machine Learning Research in Marine Robotics

As of 10 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 2026-08-10T06:31:04.303077+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=sha256:9fe8bfb2e4a0b330449bbd8baa3e57927aacfbab788c3915d2fec07538c65d33

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=sha256:4452640f0e181f0de83d80dfe32af1465700f811be10e19407e5b38056b61547

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=sha256:1b59b7c01859c4daede5cd83c72ae878c138fe95a5deeb094f77d93f8e7f6847

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=sha256:9e86d9f6f874e266e0ec343a87633c34e25ded387bdb72f15379b79d7dacd073

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T02:48:11.126363Z digest=sha256:0555bfd297763f9e5e4922d7df01cffc2e91da5bc46680848f0ab1de43502b0c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T09:57:06.439771Z digest=sha256:f66669dc25fb14a98d498a569a22f1493036bbf7fd4eaed63a614c907d705c7d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T09:57:06.439771Z digest=sha256:7806ecb400edb992509dd801d8af7cd6ed2dc48b84dc466035aa684b8fcc6af5

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:d73f6bddb2a29cac68b5127d9543b8464b6a94622c7b3e00975af662d05dcf3b