Paper Citation Record · LEDGER

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming

As of 15 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2411.14729.

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

pith.paper-citation-record.v1
2411.14729 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:01:04.126501Z

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One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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

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Reference resolution

36 of 36 outbound references displayed

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External citation measurements

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Outbound references

Observation ec8270c2-d1b3-4c1e-b4b3-e2e113c995aa · outbound

This paper cites World population growth,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming World population growth,

Reference 1

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Observation a91c45b1-4909-4606-bec7-f11577d6a15c · outbound

This paper cites Food security: the challenge of feeding 9 billion people,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Food security: the challenge of feeding 9 billion people,

Reference 2

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Observation a64fa889-d9ba-447f-8abc-7cbfc41319c1 · outbound

This paper cites Ontologies and artificial intelligence systems for the cooperative smart farming ecosystem,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Ontologies and artificial intelligence systems for the cooperative smart farming ecosystem,

Reference 3

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Observation a784a6cd-d6de-49a0-a8a8-ba70f455060e · outbound

This paper cites A privacy preserving anomaly detection framework for coop- erative smart farming ecosystem,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming A privacy preserving anomaly detection framework for coop- erative smart farming ecosystem,

Reference 4

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This paper cites https://edgelabs.ai/blog/ cyber-attacks-on-the-rise-in-the-agriculture-industry/.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming https://edgelabs.ai/blog/ cyber-attacks-on-the-rise-in-the-agriculture-industry/

Reference 5

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Observation 71b5382c-eb9f-4628-bbb0-71bfdfcfbf9b · outbound

This paper cites https://www.ien.com/food-beverage/news/22379342/ rise-of-precision-agriculture-exposes-food-system-to-new-threats.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming https://www.ien.com/food-beverage/news/22379342/ rise-of-precision-agriculture-exposes-food-system-to-new-threats

Reference 6

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Observation 6c56d793-10e9-46f8-9f72-df864a5d1805 · outbound

This paper cites Agrilora: a digital twin framework for smart agricul- ture.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Agrilora: a digital twin framework for smart agricul- ture

Reference 7

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This paper cites A digital twin for smart farming,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming A digital twin for smart farming,

Reference 8

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Observation edc6ee0d-c4cf-4555-a4c4-13352aaee6a3 · outbound

This paper cites Digital twins in agriculture: A state-of- the-art review,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Digital twins in agriculture: A state-of- the-art review,

Reference 9

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Observation 63bbfacc-223c-4f84-bf38-2c628b8c0584 · outbound

This paper cites Edge computing and digital twin based smart manu- facturing,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Edge computing and digital twin based smart manu- facturing,

Reference 10

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This paper cites Security Attacks and Solutions for Digital Twins.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Security Attacks and Solutions for Digital Twins

Reference 11

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This paper cites Digital twin security threats and countermeasures: An introduction,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Digital twin security threats and countermeasures: An introduction,

Reference 12

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This paper cites Network abnormal traffic detection model based on semi-supervised deep reinforcement learning,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Network abnormal traffic detection model based on semi-supervised deep reinforcement learning,

Reference 13

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Observation 88cde781-3194-4e76-adb3-be4c294d936d · outbound

This paper cites Spatial prediction of soil organic carbon using machine learning techniques in western iran,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Spatial prediction of soil organic carbon using machine learning techniques in western iran,

Reference 14

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This paper cites Overview of the transformer-based models for nlp tasks,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Overview of the transformer-based models for nlp tasks,

Reference 15

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This paper cites AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing

Reference 16

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This paper cites Intrusion detection model based on improved transformer,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Intrusion detection model based on improved transformer,

Reference 17

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This paper cites Rtids: A robust transformer- based approach for intrusion detection system,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Rtids: A robust transformer- based approach for intrusion detection system,

Reference 18

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This paper cites Unified Anomaly Detection methods on Edge Device using Knowledge Distillation and Quantization.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Unified Anomaly Detection methods on Edge Device using Knowledge Distillation and Quantization

Reference 19

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This paper cites Ai model compression for edge devices using optimization techniques,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Ai model compression for edge devices using optimization techniques,

Reference 20

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This paper cites Qae-ids: Ddos anomaly detection in iot devices using post-quantization training,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Qae-ids: Ddos anomaly detection in iot devices using post-quantization training,

Reference 21

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This paper cites Hierarchi- cal vector quantized transformer for multi-class unsupervised anomaly detection,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Hierarchi- cal vector quantized transformer for multi-class unsupervised anomaly detection,

Reference 22

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This paper cites A game theoretic analysis for cooperative smart farming,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming A game theoretic analysis for cooperative smart farming,

Reference 23

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This paper cites Learner’s dilemma: Iot devices training strategies in collaborative deep learning,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Learner’s dilemma: Iot devices training strategies in collaborative deep learning,

Reference 24

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This paper cites Game theory based privacy preserving approach for collaborative deep learning in iot,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Game theory based privacy preserving approach for collaborative deep learning in iot,

Reference 25

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Observation 4b69131c-c75b-43dc-9462-9678e03d6d3f · outbound

This paper cites Hierarchical federated transfer learning and digital twin enhanced secure cooperative smart farming,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Hierarchical federated transfer learning and digital twin enhanced secure cooperative smart farming,

Reference 26

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This paper cites Deep learning- based intrusion detection for distributed denial of service attack in agriculture 4.0,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Deep learning- based intrusion detection for distributed denial of service attack in agriculture 4.0,

Reference 27

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This paper cites Anomaly detection for internet of things time series data using generative adversarial networks with attention mechanism in smart agriculture,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Anomaly detection for internet of things time series data using generative adversarial networks with attention mechanism in smart agriculture,

Reference 28

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This paper cites Experimental review of neural-based approaches for network intrusion management,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Experimental review of neural-based approaches for network intrusion management,

Reference 29

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This paper cites Edgesec: Design of an edge layer security service to enhance iot security,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Edgesec: Design of an edge layer security service to enhance iot security,

Reference 30

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This paper cites The extreme edge at the bottom of the internet of things: A review,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming The extreme edge at the bottom of the internet of things: A review,

Reference 31

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This paper cites Toward the next generation of digital- ization in agriculture based on digital twin paradigm,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Toward the next generation of digital- ization in agriculture based on digital twin paradigm,

Reference 32

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This paper cites https://grafana.com/ docs/grafana/latest/setup-grafana/installation//.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming https://grafana.com/ docs/grafana/latest/setup-grafana/installation//

Reference 33

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This paper cites https://aws.amazon.com/ grafana/.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming https://aws.amazon.com/ grafana/

Reference 34

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This paper cites https://learn.microsoft. com/en-us/azure/digital-twins/overview/.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming https://learn.microsoft. com/en-us/azure/digital-twins/overview/

Reference 35

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This paper cites Security and privacy in smart farming: Challenges and opportunities,.

A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Security and privacy in smart farming: Challenges and opportunities,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:01:04.276594Z

Source-reported events for the cited work

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Pith citing papers

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