Paper Citation Record · LEDGER

SVGS-DSGAT: An IoT-Enabled Innovation in Underwater Robotic Object Detection Technology

As of 23 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2501.12169.

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

pith.paper-citation-record.v1
2501.12169 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:29:45.911488Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy5
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 932fca1d-6262-46b8-a934-29ec645c7513 · outbound

This paper cites an unresolved cited work.

SVGS-DSGAT: An IoT-Enabled Innovation in Underwater Robotic Object Detection Technology Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:29:46.195279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b9bebc0f-c1fd-4e21-8c0a-f6792156b8af · outbound

This paper cites SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots.

SVGS-DSGAT: An IoT-Enabled Innovation in Underwater Robotic Object Detection Technology SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T17:29:45.844115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0281c6fb-dc77-48b7-9831-3c12bb2b0cf3 · outbound

This paper cites an unresolved cited work.

SVGS-DSGAT: An IoT-Enabled Innovation in Underwater Robotic Object Detection Technology Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:29:46.171887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation daf5cf32-b539-4bb4-87b7-9d6d0b4c778c · outbound

This paper cites an unresolved cited work.

SVGS-DSGAT: An IoT-Enabled Innovation in Underwater Robotic Object Detection Technology Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:29:46.151419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation de2d14a1-f6b5-42e9-b1db-9a7af0361add · outbound

This paper cites IET Image Processing.

SVGS-DSGAT: An IoT-Enabled Innovation in Underwater Robotic Object Detection Technology IET Image Processing

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:29:46.112386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b99eaff0-9655-42db-bf2b-0b3bd19e1e3b · outbound

This paper cites Journal of Robotics 2021, 5542920.

SVGS-DSGAT: An IoT-Enabled Innovation in Underwater Robotic Object Detection Technology Journal of Robotics 2021, 5542920

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:29:46.073158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8d511d56-28d6-4ebf-91e8-4a7cd404e3f6 · outbound

This paper cites Artificial Intelligence Review 54, 5413–5467.

SVGS-DSGAT: An IoT-Enabled Innovation in Underwater Robotic Object Detection Technology Artificial Intelligence Review 54, 5413–5467

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:29:46.050259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8559b686-37fc-4868-b132-eaee8288a218 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing 60, 1–15.

SVGS-DSGAT: An IoT-Enabled Innovation in Underwater Robotic Object Detection Technology IEEE Transactions on Geoscience and Remote Sensing 60, 1–15

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:29:46.030049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4e2f9211-331d-4bfb-bb9f-1124f75048e3 · outbound

This paper cites Oceanobservationtechnologies:Areview.

SVGS-DSGAT: An IoT-Enabled Innovation in Underwater Robotic Object Detection Technology Oceanobservationtechnologies:Areview

Reference 1315

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:29:46.132656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7798ba46-a8f8-4c40-8173-cc715bdda667 · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

SVGS-DSGAT: An IoT-Enabled Innovation in Underwater Robotic Object Detection Technology YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T17:29:45.815297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed5ab407-e945-479e-8c63-a403e65d7a19 · outbound

This paper cites an unresolved cited work.

SVGS-DSGAT: An IoT-Enabled Innovation in Underwater Robotic Object Detection Technology Unresolved cited work

Reference 2021

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:29:46.212489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a529568f-f037-47ca-851a-c7f7cfdf962d · outbound

This paper cites an unresolved cited work.

SVGS-DSGAT: An IoT-Enabled Innovation in Underwater Robotic Object Detection Technology Unresolved cited work

Reference 2022

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:29:46.091529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d7c34047-b527-4e88-bf1f-5484651dda90 · outbound

This paper cites Layer-diverse Negative Sampling for Graph Neural Networks.

SVGS-DSGAT: An IoT-Enabled Innovation in Underwater Robotic Object Detection Technology Layer-diverse Negative Sampling for Graph Neural Networks

Reference 2024

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T17:29:45.991894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.