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Paper Citation Record · LEDGER

A Structured Review of Underwater Object Detection Challenges and Solutions: From Traditional to Large Vision Language Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2509.08490.

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

pith.paper-citation-record.v1
2509.08490 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T10:43:35.408579Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T23:36:31.197339Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a87f5361-d259-46ef-afc2-7b98cf8dbbdb · inbound

Why Domain Matters: A Preliminary Study of Domain Effects in Underwater Object Detection cites this paper.

Why Domain Matters: A Preliminary Study of Domain Effects in Underwater Object Detection A Structured Review of Underwater Object Detection Challenges and Solutions: From Traditional to Large Vision Language Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:36:31.203519Z

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=2026-05-07T16:39:13.901011Z digest=sha256:24a2d313a564ded45abd9151471986ea6bf6ebad65cb1d851008caf233a1f13a

Observation c305ae74-b997-40e2-af24-f68aa3df0b6a · inbound

A Marine Debris Detection Framework for Ocean Robots via Self-Attention Enhancement and Feature Interaction Optimization cites this paper.

A Marine Debris Detection Framework for Ocean Robots via Self-Attention Enhancement and Feature Interaction Optimization A Structured Review of Underwater Object Detection Challenges and Solutions: From Traditional to Large Vision Language Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:00:54.223356Z

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=2026-05-11T02:04:16.884455Z digest=sha256:d2f089a72b051428913dfa6aa88e5eea57bacc105ec0d67e3f4075a0ec5dcdbb

Observation 94365b46-ad06-4de2-882e-a0c4ef573ae3 · inbound

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality cites this paper.

Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality A Structured Review of Underwater Object Detection Challenges and Solutions: From Traditional to Large Vision Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-14T10:43:35.408579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:43:35.408579Z digest=sha256:24154cea26f60a49c740528a8ca44d26478c0c2ea4f41e4f033f92f0747ffbc6