Paper Citation Record · LEDGER

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture

As of 14 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.09835.

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

pith.paper-citation-record.v1
2607.09835 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T15:11:58.861492Z

measured 40 of 40 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

40 of 40 outbound references displayed

verified exact24
verified fuzzy0
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cab22f85-1276-4384-a128-dc24981cccfa · outbound

This paper cites World Aquaculture 2020 – A Brief Overview; FAO Fisheries and Aquaculture Circular No.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture World Aquaculture 2020 – A Brief Overview; FAO Fisheries and Aquaculture Circular No

Reference 1

Resolution: verified exact; doi, observed 2026-07-14T15:20:36.877269Z

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 001692b3-ffb4-4ef4-88f9-84fdf0d20fe4 · outbound

This paper cites Recirculating aquaculture systems (RAS): Environmental solution and climate change adaptation.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Recirculating aquaculture systems (RAS): Environmental solution and climate change adaptation

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-14T15:20:36.893012Z

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 90f995d3-12fc-4ca8-a380-e631e27a9617 · outbound

This paper cites Environmental performance of marine net-pen aquaculture in the United States.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Environmental performance of marine net-pen aquaculture in the United States

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-14T15:20:36.862809Z

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 3d8b8c4e-679e-4f15-bc2c-8285c2cc464d · outbound

This paper cites Aquaculture: Global status and trends.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Aquaculture: Global status and trends

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-14T15:20:36.856143Z

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 6f6ffde1-b39d-411c-ac3b-ff721a159ad9 · outbound

This paper cites an unresolved cited work.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T15:11:58.861492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a55ed840-fc32-4621-bc76-8fd0daa9b7a4 · outbound

This paper cites The economics of recirculating aquaculture systems.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture The economics of recirculating aquaculture systems

Reference 6

Resolution: verified exact; doi, observed 2026-07-14T15:20:36.867411Z

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 2654d3c9-e86e-4fda-b942-fb2fb46b49a9 · outbound

This paper cites Precision aquaculture.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Precision aquaculture

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-14T15:20:36.873195Z

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 b5c88d34-ab69-4a52-82f9-65ae2775d858 · outbound

This paper cites Precision fish farming: A new framework to improve production in aquaculture.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Precision fish farming: A new framework to improve production in aquaculture

Reference 8

Resolution: verified exact; doi, observed 2026-07-14T15:20:36.885718Z

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 461fd097-bbf2-454d-9cb7-704a8b2afebc · outbound

This paper cites Detection of residual feed in aquaculture using YOLO and Mask RCNN.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Detection of residual feed in aquaculture using YOLO and Mask RCNN

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-14T15:20:36.849923Z

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 a15f8093-07cf-4c07-9664-df2399b7b466 · outbound

This paper cites Effects of image data quality on a convolutional neural network trained in-tank fish detection model for recirculating aquaculture systems.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Effects of image data quality on a convolutional neural network trained in-tank fish detection model for recirculating aquaculture systems

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-14T15:20:36.834321Z

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 fe58c82f-eb9a-43d1-aa95-1958a1eae771 · outbound

This paper cites Real-time detection of uneaten feed pellets in underwater images for aquaculture using an improved YOLO-V4 network.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Real-time detection of uneaten feed pellets in underwater images for aquaculture using an improved YOLO-V4 network

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-14T15:20:36.815276Z

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 517dc194-cc71-4ef3-85db-442f99fab0f1 · outbound

This paper cites Real -time detection and tracking of fish abnormal behavior based on improved YOLOV5 and SiamRPN++.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Real -time detection and tracking of fish abnormal behavior based on improved YOLOV5 and SiamRPN++

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-14T15:20:36.789980Z

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 104530c8-7a86-432c-ae66-9005a82f63d2 · outbound

This paper cites Abnormal behavior monitoring method of Larimichthys crocea in recirculating aquaculture system based on computer vision.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Abnormal behavior monitoring method of Larimichthys crocea in recirculating aquaculture system based on computer vision

Reference 13

Resolution: verified exact; doi, observed 2026-07-14T15:20:36.796511Z

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 3358e002-b697-4bfe-a8fb-5f57c7458a40 · outbound

This paper cites Fully automatic system for fish biomass estimation based on deep neural network.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Fully automatic system for fish biomass estimation based on deep neural network

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-14T15:20:36.809895Z

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 1739fc37-9cd0-4495-9172-7f3b6c297b84 · outbound

This paper cites Rapid detection of fish with SVC symptoms based on machine vision combined with a NAM-YOLO v7 hybrid model.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Rapid detection of fish with SVC symptoms based on machine vision combined with a NAM-YOLO v7 hybrid model

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-14T15:20:36.822375Z

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 e56f186c-3c66-4b4d-96e9-4e92fd1a339e · outbound

This paper cites MortCam: An artificial intelligence-aided fish mortality detection and alert system for recirculating aquaculture.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture MortCam: An artificial intelligence-aided fish mortality detection and alert system for recirculating aquaculture

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-14T15:20:36.831823Z

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 ec894ce5-d340-49e6-bbe2-6610bfc063b0 · outbound

This paper cites An automated lightweight approach for detecting dead fish in a recirculating aquaculture system.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture An automated lightweight approach for detecting dead fish in a recirculating aquaculture system

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-14T15:20:36.858266Z

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 469a142f-1188-4cc7-b9de-56d96197e0ab · outbound

This paper cites Inspection operations and hole detection in fish net cages through a hybrid underwater intervention system using deep learning techniques.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Inspection operations and hole detection in fish net cages through a hybrid underwater intervention system using deep learning techniques

Reference 18

Resolution: verified exact; doi, observed 2026-07-14T15:20:36.803924Z

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 d14b0f1a-5d3c-45eb-825b-504689a38009 · outbound

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

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Faster R -CNN: Towards real-time object detection with region proposal networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T15:11:58.861492Z

Source-reported events for the cited work

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Observation 34b4ff1a-0633-4523-b38e-76a373e5dd81 · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Rich feature hierarchies for accurate object detection and semantic segmentation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T15:11:58.861492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48448bf0-791e-4db5-8465-302708acb711 · outbound

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

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture You only look once: Unified, real-time object detection

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T15:11:58.861492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ba931b6-8617-4933-a401-c661f9297a45 · outbound

This paper cites Making Faster R-CNN Faster! Available online: https://jkjung-avt.github.io/making-frcn- faster/ (ac cessed on 15 April 2026 ).

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Making Faster R-CNN Faster! Available online: https://jkjung-avt.github.io/making-frcn- faster/ (ac cessed on 15 April 2026 )

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T15:11:58.861492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 231f33b5-b322-4224-8eef-8752b66176fb · outbound

This paper cites Progress in object detection: An in- depth analysis of methods and use cases.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Progress in object detection: An in- depth analysis of methods and use cases

Reference 23

Resolution: verified exact; doi, observed 2026-07-14T15:20:36.846513Z

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 e4e6f7bd-9ce4-438a-8307-fda481e40131 · outbound

This paper cites YOLOv3: An Incremental Improvement.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture YOLOv3: An Incremental Improvement

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T15:11:58.861492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3e6d748-fcce-401c-9c43-6e3f643681b0 · outbound

This paper cites Ultralytics YOLOv5 ; Ultralytics, 2020.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Ultralytics YOLOv5 ; Ultralytics, 2020

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T15:11:58.861492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 865696b0-8fc2-4a0f-897e-898b314c5141 · outbound

This paper cites Chaurasia, A.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Chaurasia, A

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-14T15:11:58.861492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7aff049-7ccd-4c57-a146-715162f0ba46 · outbound

This paper cites A novel detection model and platform for dead juvenile fish from the perspective of multi-task.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture A novel detection model and platform for dead juvenile fish from the perspective of multi-task

Reference 27

Resolution: verified exact; doi, observed 2026-07-14T15:20:36.765987Z

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 0e9a79cc-fe01-4a7d-b154-b35a25869305 · outbound

This paper cites Real -time detection of dead fish for unmanned aquaculture by YOLOv8-based UA V.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Real -time detection of dead fish for unmanned aquaculture by YOLOv8-based UA V

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-14T15:20:36.767495Z

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 8f0b4091-6b53-4a1c-b93f-4b9a79a4744b · outbound

This paper cites YOLO in precision aquaculture: A decadal bibliometric and systematic review of applications, architectural adaptations, and deployment challenges.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture YOLO in precision aquaculture: A decadal bibliometric and systematic review of applications, architectural adaptations, and deployment challenges

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-14T15:20:36.787035Z

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 4cc9eac6-1382-479a-bedc-763e8823deb8 · outbound

This paper cites Analyzing fish detection and classification in IoT-based aquatic ecosystems through deep learning.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Analyzing fish detection and classification in IoT-based aquatic ecosystems through deep learning

Reference 30

Resolution: verified exact; doi, observed 2026-07-14T15:20:36.760205Z

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 9a2bf85f-2d6f-49d8-9ab7-d76c699d8de0 · outbound

This paper cites IoT-enabled communication network for real-time disease alerts in smart aquaculture systems.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture IoT-enabled communication network for real-time disease alerts in smart aquaculture systems

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-14T15:11:58.861492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 359003d4-8a20-4f09-b42e-1d8247070671 · outbound

This paper cites Ultralytics YOLO26 ; Ultralytics, 2026.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Ultralytics YOLO26 ; Ultralytics, 2026

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-14T15:11:58.861492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf02bc27-4161-401a-8eb4-adcfad8756df · outbound

This paper cites Jocher, G.; Qiu, J.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Jocher, G.; Qiu, J

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-14T15:11:58.861492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbc2408f-1011-4168-ab66-6bc9b6782f5e · outbound

This paper cites Ultralytics YOLO evolution: An overview of YOLO26, YOLO11, YOLOv8 and YOLOv5 object detectors for computer vision and pattern recognition.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Ultralytics YOLO evolution: An overview of YOLO26, YOLO11, YOLOv8 and YOLOv5 object detectors for computer vision and pattern recognition

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-14T15:11:58.861492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9984ec1a-6810-4498-8931-32c9e1d8f96d · outbound

This paper cites YOLO26: Key architectural enhancements and performance benchmarking for real-time object detection.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture YOLO26: Key architectural enhancements and performance benchmarking for real-time object detection

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-14T15:11:58.861492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fed29dc-5104-4ff5-931f-a621c42cc449 · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture YOLOv11: An Overview of the Key Architectural Enhancements

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-14T15:11:58.861492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dd45778-87b9-40a6-b1ec-a60fed030102 · outbound

This paper cites YOLOv10: Real-time end-to-end object detection.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture YOLOv10: Real-time end-to-end object detection

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-14T15:11:58.861492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de41504c-6e15-47cd-8c8d-aca10b8b0881 · outbound

This paper cites Improving smart home surveillance through YOLO model with transfer learning and quantization for enhanced accuracy and efficiency.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Improving smart home surveillance through YOLO model with transfer learning and quantization for enhanced accuracy and efficiency

Reference 38

Resolution: verified exact; doi, observed 2026-07-14T15:20:36.753325Z

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 290239f1-3b8a-4be6-9f06-c14466b872ef · outbound

This paper cites YOLO26: An analysis of NMS-free end to end framework for real- time object detection.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture YOLO26: An analysis of NMS-free end to end framework for real- time object detection

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-14T15:11:58.861492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b43c483c-cdc7-4a5b-b189-552264dc7818 · outbound

This paper cites Accelerating Deep Learning Model Inference on Arm CPUs with Ultra-Low Bit Quantization and Runtime.

Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture Accelerating Deep Learning Model Inference on Arm CPUs with Ultra-Low Bit Quantization and Runtime

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-07-14T15:20:36.799962Z

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.