Paper Citation Record · LEDGER

Lightweight Shrimp Disease Detection Research Based on YOLOv8n

As of 14 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2507.02354.

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

pith.paper-citation-record.v1
2507.02354 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:35:03.857589Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

19 of 19 outbound references displayed

verified exact0
verified fuzzy15
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3da723d8-7f52-4f7d-af24-a77c4e6bbca6 · outbound

This paper cites Shri mp bacterial and parasitic disease listed in the OI E: A review[J].

Lightweight Shrimp Disease Detection Research Based on YOLOv8n Shri mp bacterial and parasitic disease listed in the OI E: A review[J]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:35:06.943567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4151de66-8529-4893-b398-d7ce4191ba2e · outbound

This paper cites Viral shr imp diseases listed by the OIE: A review[J].

Lightweight Shrimp Disease Detection Research Based on YOLOv8n Viral shr imp diseases listed by the OIE: A review[J]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:35:06.780272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fcd7a64a-cfaa-4436-b7e1-2f4633ffd6ea · outbound

This paper cites You only look once: Unified, real -time object detection[C]//Proceedings of 2016 IEEE Conferenc e on Computer Vision and Pattern Recognition.

Lightweight Shrimp Disease Detection Research Based on YOLOv8n You only look once: Unified, real -time object detection[C]//Proceedings of 2016 IEEE Conferenc e on Computer Vision and Pattern Recognition

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T20:35:02.199483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ee81634-b419-4097-aa51-e2eb7f1c23ba · outbound

This paper cites 改进 YOLOv7 的轻量化水下目标检测算法 [J].

Lightweight Shrimp Disease Detection Research Based on YOLOv8n 改进 YOLOv7 的轻量化水下目标检测算法 [J]

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:35:06.600745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6aee9d0a-1951-402b-b196-3288d39c862f · outbound

This paper cites 基于 SimAM 注意力机制的 DCN-YOLOv5 水下目标检测[J].

Lightweight Shrimp Disease Detection Research Based on YOLOv8n 基于 SimAM 注意力机制的 DCN-YOLOv5 水下目标检测[J]

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:35:06.447104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 448da6a3-45ac-43c7-a59a-2fd09a65324a · outbound

This paper cites YOLOv5s -CA: A modified YOLOv5s network with coordinate att ention for underwater target detection[J].

Lightweight Shrimp Disease Detection Research Based on YOLOv8n YOLOv5s -CA: A modified YOLOv5s network with coordinate att ention for underwater target detection[J]

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:35:06.291447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2aeb3fa8-0930-4011-b772-067c9c37a74e · outbound

This paper cites In situ sea cucu mber detection based on deep learning approach[C] //2018 OCEANS MTS/IEEE Kobe Techno -Oceans (OTO).

Lightweight Shrimp Disease Detection Research Based on YOLOv8n In situ sea cucu mber detection based on deep learning approach[C] //2018 OCEANS MTS/IEEE Kobe Techno -Oceans (OTO)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:35:06.102865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 466eab72-82e6-4032-9163-38fc679bd6d3 · outbound

This paper cites 基于改进 YOLO 卷积神经网络的水下海参检测 [J].

Lightweight Shrimp Disease Detection Research Based on YOLOv8n 基于改进 YOLO 卷积神经网络的水下海参检测 [J]

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:35:05.922267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3210626f-b591-44aa-9bc7-7d723aaa5c94 · outbound

This paper cites An improv ed YOLOv5s -based scheme for target detection in a complex underwater environment[J].

Lightweight Shrimp Disease Detection Research Based on YOLOv8n An improv ed YOLOv5s -based scheme for target detection in a complex underwater environment[J]

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:35:05.762720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6f33df86-93c4-43c7-80a1-56550cf7811b · outbound

This paper cites An improved YOLOV 5 based on triplet attention and prediction head o ptimization for marine organism detection on unde rwater mobile platforms[J].

Lightweight Shrimp Disease Detection Research Based on YOLOv8n An improved YOLOV 5 based on triplet attention and prediction head o ptimization for marine organism detection on unde rwater mobile platforms[J]

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:35:05.572510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f2325a8b-bc3a-4987-9a61-5682c5f75b10 · outbound

This paper cites U -YOLOv7: A network for underwater organism detection[J].

Lightweight Shrimp Disease Detection Research Based on YOLOv8n U -YOLOv7: A network for underwater organism detection[J]

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:35:05.413464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4712a80c-d4d7-4217-a794-f2d7968f510b · outbound

This paper cites I mproved Underwater Object Detection Algorithm of YOLOv7[J].

Lightweight Shrimp Disease Detection Research Based on YOLOv8n I mproved Underwater Object Detection Algorithm of YOLOv7[J]

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:35:05.208422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 130f16f8-6e75-40b0-bc7d-75fdf2fa22bf · outbound

This paper cites Is Attention Better Than Matrix Decomposition?.

Lightweight Shrimp Disease Detection Research Based on YOLOv8n Is Attention Better Than Matrix Decomposition?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:35:03.180235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 774c1be6-c359-456e-8944-b39c806a4d66 · outbound

This paper cites Apple ste m/calyx real -time recognition using YOLO -v5 algo rithm for fruit automatic loading syst em[J].

Lightweight Shrimp Disease Detection Research Based on YOLOv8n Apple ste m/calyx real -time recognition using YOLO -v5 algo rithm for fruit automatic loading syst em[J]

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:35:05.027254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2136a368-6b62-4f1c-855d-2ea78839466a · outbound

This paper cites Re search on traffic sign detection based on improve d YOLOv8[J].

Lightweight Shrimp Disease Detection Research Based on YOLOv8n Re search on traffic sign detection based on improve d YOLOv8[J]

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:35:04.864410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3ed37f1d-6916-43fa-b552-990b348508a2 · outbound

This paper cites Personalized action suggestions in low-code automation platforms.

Lightweight Shrimp Disease Detection Research Based on YOLOv8n Personalized action suggestions in low-code automation platforms

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T20:35:04.073420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 873304b3-b06d-4034-ab1a-923a9fb2f11a · outbound

This paper cites YOLOv11: Dynami c feature fusion for real -time detection[J].

Lightweight Shrimp Disease Detection Research Based on YOLOv8n YOLOv11: Dynami c feature fusion for real -time detection[J]

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:35:04.658026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d99205b4-3419-42fa-b5ce-e911300ae6ba · outbound

This paper cites an unresolved cited work.

Lightweight Shrimp Disease Detection Research Based on YOLOv8n Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:35:04.452853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 625b7cd3-9453-4e3e-b1c0-26e774938b91 · outbound

This paper cites EfficientDet: Sc alable and efficient object detection[C]//Proceeding s of 2020 IEEE/CVF Conference on Computer Vi sion and Pattern Recognition (CVPR).

Lightweight Shrimp Disease Detection Research Based on YOLOv8n EfficientDet: Sc alable and efficient object detection[C]//Proceeding s of 2020 IEEE/CVF Conference on Computer Vi sion and Pattern Recognition (CVPR)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:35:04.279263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.