Paper Citation Record · LEDGER

Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.06039.

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

pith.paper-citation-record.v1
2406.06039 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:09:25.193615Z

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

5
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 45a9d289-00eb-439a-aa7e-1a2c6ae832c0 · inbound

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation cites this paper.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:09:25.193615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bd61af5-0cbb-4c7c-aa11-0b39430f7f2f · inbound

UIS-Mamba: Exploring Mamba for Underwater Instance Segmentation via Dynamic Tree Scan and Hidden State Weaken cites this paper.

UIS-Mamba: Exploring Mamba for Underwater Instance Segmentation via Dynamic Tree Scan and Hidden State Weaken Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T10:14:02.788169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 249b0a76-d1ae-479b-bff0-faea40034cef · inbound

UniV2D: Bridging Visual Restoration and Semantic Perception for Underwater Salient Object Detection cites this paper.

UniV2D: Bridging Visual Restoration and Semantic Perception for Underwater Salient Object Detection Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:41:00.198354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e6f71054-2be6-44cc-91fc-e0be4994be75 · inbound

Aqua Boundary-Saliency Attention Module for Lightweight Underwater Salient Instance Segmentation Detection Transformer cites this paper.

Aqua Boundary-Saliency Attention Module for Lightweight Underwater Salient Instance Segmentation Detection Transformer Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-27T20:21:13.934672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.