Paper Citation Record · LEDGER

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation

As of 18 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 2 inbound Pith citation observations for arXiv:2506.19472.

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

pith.paper-citation-record.v1
2506.19472 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:09:27.764967Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T20:14:18.486132Z

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

42 of 42 outbound references displayed

verified exact0
verified fuzzy35
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 574ebbe0-1c78-4c24-acfb-902196a16c95 · outbound

This paper cites A revised underwater image formation model.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation A revised underwater image formation model

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:39.017237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3cbecc82-b8ef-4f3a-b550-4caf4e5cd075 · outbound

This paper cites Yolact: Real-time instance segmentation.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Yolact: Real-time instance segmentation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:38.733514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a9e1dfc2-0001-4fc6-9da1-4772c306588b · outbound

This paper cites Cascade r-cnn: Delv- ing into high quality object detection.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Cascade r-cnn: Delv- ing into high quality object detection

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:38.471269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b383d75b-1c46-4ada-8a48-30979c69792b · outbound

This paper cites Hybrid task cascade for instance seg- mentation.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Hybrid task cascade for instance seg- mentation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:09:22.532872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eeafee7-5beb-4678-a08c-9104d7609ec0 · outbound

This paper cites You only look one-level feature.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation You only look one-level feature

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:38.162162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1eaf963e-7010-42e2-ad14-6ff04413f353 · outbound

This paper cites Sparse instance activation for real-time instance segmentation.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Sparse instance activation for real-time instance segmentation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:37.764755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 953c6086-9acf-4afc-a5f7-9a2fcc1ed782 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Imagenet: A large-scale hierarchical image database

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T23:09:22.960805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f8f8287-4a1c-4c2e-ae05-74a55cb66f33 · outbound

This paper cites Salient objects in clut- ter: Bringing salient object detection to the foreground.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Salient objects in clut- ter: Bringing salient object detection to the foreground

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:37.385696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f9f28da5-654d-45c0-8d87-dd2a644ff6e8 · outbound

This paper cites Salient objects in clutter: Bringing salient object detection to the foreground.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Salient objects in clutter: Bringing salient object detection to the foreground

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:36.993123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2621e7f5-bedb-4495-b24d-da360491a056 · outbound

This paper cites A survey on instance segmentation: state of the art.International jour- nal of multimedia information retrieval, 9(3):171–189, 2020.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation A survey on instance segmentation: state of the art.International jour- nal of multimedia information retrieval, 9(3):171–189, 2020

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:36.703835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 556526b8-5f54-4a77-b640-36c42402afd7 · outbound

This paper cites Mask r-cnn.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Mask r-cnn

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:36.334151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ea999bab-a577-4a88-b33a-fa4e15c89f4f · outbound

This paper cites Usod10k: A new benchmark dataset for underwater salient object de- tection.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Usod10k: A new benchmark dataset for underwater salient object de- tection

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:35.918402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 229898c7-cb5c-4d92-a4e4-d61af5223828 · outbound

This paper cites Mask scoring r-cnn.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Mask scoring r-cnn

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:35.572116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 01fefd1a-8c17-43c5-96bf-164e7bbac101 · outbound

This paper cites Semantic segmentation of underwater im- agery: Dataset and benchmark.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Semantic segmentation of underwater im- agery: Dataset and benchmark

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:35.289936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 21285d93-8a9a-4c42-a59f-6bec55640a2c · outbound

This paper cites SV AM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robot.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation SV AM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robot

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:34.989602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d848a821-1252-4bbd-b550-26bfb6f55252 · outbound

This paper cites Pointrend: Image segmentation as rendering.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Pointrend: Image segmentation as rendering

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:34.673110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1e4a1af3-2a7b-4606-9b3c-d3cbc591462f · outbound

This paper cites Instance- level salient object segmentation.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Instance- level salient object segmentation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:34.360068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b16207c4-055f-42b8-9aed-95e6be21a552 · outbound

This paper cites Uwsam: Segment anything model guided under- water instance segmentation and a large-scale benchmark dataset.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Uwsam: Segment anything model guided under- water instance segmentation and a large-scale benchmark dataset

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T23:09:24.394882Z

Source-reported events for the cited work

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Observation 08201949-aefc-432d-ba30-34500149f733 · outbound

This paper cites Ion: Instance-level object navigation.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Ion: Instance-level object navigation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:34.009214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7875f18b-a67b-4023-8bdb-89c013123734 · outbound

This paper cites Rehg, and Alan L.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Rehg, and Alan L

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:33.691058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5e9b5aa9-5ef5-40cc-a387-608e1203cdaf · outbound

This paper cites Watermask: Instance segmentation for under- water imagery.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Watermask: Instance segmentation for under- water imagery

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:33.365720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 45a9d289-00eb-439a-aa7e-1a2c6ae832c0 · outbound

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

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 c8219d95-08e1-4736-b340-880ba7f905b9 · outbound

This paper cites Focal loss for dense object detection.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Focal loss for dense object detection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:33.084424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0a0586ce-923a-41cd-9ad7-0a545d4f36e2 · outbound

This paper cites Microsoft coco: Common objects in context.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Microsoft coco: Common objects in context

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:32.759658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7b7a0cb1-986b-47af-9fb4-d7b2511bc7f9 · outbound

This paper cites Scg: Saliency and contour guided salient instance segmentation.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Scg: Saliency and contour guided salient instance segmentation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:32.423361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8e583565-4054-4dbf-8a39-f3f5619e5fc1 · outbound

This paper cites Ssd: Single shot multibox detector.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Ssd: Single shot multibox detector

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:32.084034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6940df2c-916c-4341-8809-1bc2171aa9ec · outbound

This paper cites A convnet for the 2020s.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation A convnet for the 2020s

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T23:09:25.851455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be5f79b3-11ec-4282-bce8-fc993e886937 · outbound

This paper cites an unresolved cited work.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:09:31.745249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 108ea1a4-0603-4d43-b2b2-ff6d2862e114 · outbound

This paper cites Libra r-cnn: Towards balanced learning for object detection.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Libra r-cnn: Towards balanced learning for object detection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:31.505105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bcfd7a6b-0a09-4dbe-8af0-c291802949ba · outbound

This paper cites Transformer-based efficient salient instance segmentation networks with orientative query.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Transformer-based efficient salient instance segmentation networks with orientative query

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:31.244777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 68bbb609-6dc2-4c2d-9d1f-73fd085b1605 · outbound

This paper cites Calibnet: Dual- branch cross-modal calibration for rgb-d salient instance segmentation.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Calibnet: Dual- branch cross-modal calibration for rgb-d salient instance segmentation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:30.947010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 70e461e9-d323-4277-ad81-45110c8fb125 · outbound

This paper cites Detectors: Detecting objects with recursive feature pyramid and switch- able atrous convolution.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Detectors: Detecting objects with recursive feature pyramid and switch- able atrous convolution

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:30.607065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 592e8d1d-cca5-4b49-83c4-23cbc3241160 · outbound

This paper cites You only look once: Unified, real-time object de- tection.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation You only look once: Unified, real-time object de- tection

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T23:09:26.700158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fd5bd33-c1de-4c29-8be0-073370c687e2 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:30.299878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b5e235f5-20f0-43d1-bbdc-b304ac7aea0f · outbound

This paper cites Scnet: Train- ing inference sample consistency for instance segmentation.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Scnet: Train- ing inference sample consistency for instance segmentation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:29.937122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 883d8d6b-6cc7-4643-8133-5df569603913 · outbound

This paper cites Solo: Segmenting objects by locations.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Solo: Segmenting objects by locations

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:29.511738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 74b42170-da1b-415f-a42e-8cca0dc650ae · outbound

This paper cites Solov2: Dynamic and fast instance segmenta- tion.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Solov2: Dynamic and fast instance segmenta- tion

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:29.216700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cd303c10-e1db-42db-8a23-5d9abb072834 · outbound

This paper cites Semantic segmen- tation in underwater ship inspections: Benchmark and data set.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Semantic segmen- tation in underwater ship inspections: Benchmark and data set

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:28.987771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e321cc54-9854-41af-abcf-48b1130a70f8 · outbound

This paper cites Unseen object instance segmentation for robotic en- vironments.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Unseen object instance segmentation for robotic en- vironments

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:28.740257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d1a35109-0a7f-4a1b-8c41-50546c2d81c8 · outbound

This paper cites Dynamic r-cnn: Towards high quality object detection via dynamic training.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Dynamic r-cnn: Towards high quality object detection via dynamic training

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:28.547222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b225a294-e5c7-4d62-9155-f30ed02deca5 · outbound

This paper cites Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:28.337630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d04e410f-818f-4965-b2b8-64999f482099 · outbound

This paper cites Coralscop: Segment any coral image on this planet.

USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation Coralscop: Segment any coral image on this planet

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:09:28.154497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation c8b7e6c4-65b9-4488-bf0f-1ba0b7c85190 · 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 USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:41:00.233354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 94490417-73d4-4954-b43a-8906da6c88da · 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 USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-27T20:21:13.928933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.