Paper Citation Record · LEDGER

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks

As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.00553.

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

pith.paper-citation-record.v1
2607.00553 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-02T11:33:50.033400Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

34 of 34 outbound references displayed

verified exact7
verified fuzzy22
unresolved1
parse uncertain0
malformed identifier1
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3682866f-6c51-4ecd-a11e-053fd175a054 · outbound

This paper cites Classification and regression trees.Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 1(1):14–23, 2011.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Classification and regression trees.Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 1(1):14–23, 2011

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.152029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b9249fd1-0631-4482-8dce-371eed3be888 · outbound

This paper cites An analysis of intrusion detection systems in IIoT.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks An analysis of intrusion detection systems in IIoT

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.146056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 030d9a48-66e1-4842-b7ab-61081f76f99e · outbound

This paper cites Edge-IIoTset: A New Comprehensive Real- istic Cyber Security Dataset of IoT and IIoT Applications for Centralized and Federated Learning.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Edge-IIoTset: A New Comprehensive Real- istic Cyber Security Dataset of IoT and IIoT Applications for Centralized and Federated Learning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:36:54.456770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 406b903e-27f8-41e0-8e06-306b903338a3 · outbound

This paper cites Machine learning-based network vulnerability analysis of industrial internet of things.IEEE Internet of Things Journal, 6(4):6822–6834, 2019.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Machine learning-based network vulnerability analysis of industrial internet of things.IEEE Internet of Things Journal, 6(4):6822–6834, 2019

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.148203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cc5f98ae-43a7-49c4-87bd-0d1985893e65 · outbound

This paper cites Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T11:36:54.740019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 519fe3f1-c076-442d-9d24-436f701f53ff · outbound

This paper cites Machine learning in network intrusion detection: A cross-dataset generalization study.IEEE Access, 12:144489–144508, 2024.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Machine learning in network intrusion detection: A cross-dataset generalization study.IEEE Access, 12:144489–144508, 2024

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.125758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d163905c-d853-4c6d-82dc-40a2753ad609 · outbound

This paper cites In-depth comparative evaluation of supervised machine learning approaches for detection of cybersecurity threats.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks In-depth comparative evaluation of supervised machine learning approaches for detection of cybersecurity threats

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.131466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6d25092e-07c3-4edb-a626-56e3743c10cd · outbound

This paper cites To- wards model generalization for intrusion detection: Unsupervised machine learning techniques.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks To- wards model generalization for intrusion detection: Unsupervised machine learning techniques

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.138900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e133ceb6-4ac3-4542-ad8d-75c51b3dc96d · outbound

This paper cites The cross-evaluation of machine learning- based network intrusion detection systems.IEEE Transactions on Network and Service Man- agement, 19(4):5152–5169, Dec 2022.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks The cross-evaluation of machine learning- based network intrusion detection systems.IEEE Transactions on Network and Service Man- agement, 19(4):5152–5169, Dec 2022

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:36:54.445784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation df9b66ae-f32a-484d-8168-295110636f21 · outbound

This paper cites Explainable cross-domain evaluation of ml-based network intrusion detection systems.Computers and Electrical Engineering, 108:108692, 2023.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Explainable cross-domain evaluation of ml-based network intrusion detection systems.Computers and Electrical Engineering, 108:108692, 2023

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.135515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 89208128-4740-4f3e-bf3a-553f7831d6fc · outbound

This paper cites Troubleshooting an intrusion detection dataset: the cicids2017 case study.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Troubleshooting an intrusion detection dataset: the cicids2017 case study

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.133537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 11055d02-445a-43ef-a717-d4c03b00afc4 · outbound

This paper cites Efficient detection of intrusions in ton-iot dataset using hybrid feature selection approach.Scientific Reports.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Efficient detection of intrusions in ton-iot dataset using hybrid feature selection approach.Scientific Reports

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.143793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e18f38c5-b058-413a-aefa-92b29146614c · outbound

This paper cites Dataset-centric evaluation of federated intrusion de- tection models in iot networks.Scientific Reports, 16(1):2683, 2026.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Dataset-centric evaluation of federated intrusion de- tection models in iot networks.Scientific Reports, 16(1):2683, 2026

Reference 13

Resolution: malformed identifier; raw_fallback, observed 2026-07-06T02:51:53.150149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7e66ace5-0885-48bc-aa97-abcb21a37bf2 · outbound

This paper cites Towards adversarial realism and robust learning for iot intrusion detection and classification.Annals of Telecommunications, 78(7):401–412, 2023.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Towards adversarial realism and robust learning for iot intrusion detection and classification.Annals of Telecommunications, 78(7):401–412, 2023

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.141443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ea0a0c64-afa0-4317-9dac-93c0a04bb16e · outbound

This paper cites & Sutskever, I.Consistency Models May 2023.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks & Sutskever, I.Consistency Models May 2023

Reference 15

Resolution: metadata mismatch; doi, observed 2026-07-02T11:36:54.453064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 30b54707-b5ca-4ae6-b01a-5ae483dfb9ea · outbound

This paper cites Preparing network intrusion detection deep learning models with minimal data using adversarial domain adaptation.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Preparing network intrusion detection deep learning models with minimal data using adversarial domain adaptation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.139619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 586c3978-e7e7-41ca-8033-8be0544c014a · outbound

This paper cites Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review.Journal of Network and Computer Applications, 220:103760.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review.Journal of Network and Computer Applications, 220:103760

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.119502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3a33ad9a-3215-4015-a913-b20683fa7caf · outbound

This paper cites Implications of an improved water equation of state for water-rich planets.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Implications of an improved water equation of state for water-rich planets

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:36:54.742819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 067ef386-4417-4a20-b966-1451ba0d72a3 · outbound

This paper cites An investigation of categorical variable encoding techniques in machine learning: binary versus one-hot and feature hashing, 2018.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks An investigation of categorical variable encoding techniques in machine learning: binary versus one-hot and feature hashing, 2018

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.121735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 54d31852-0db5-4a4f-ad4a-16f4bd2b390d · outbound

This paper cites Multilayer perceptron (MLP).

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Multilayer perceptron (MLP)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.137522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 88ecbfe5-f725-4529-a1dd-5774d2ef3ea8 · outbound

This paper cites State-of-the-art in 1d convolutional neural networks: A survey.IEEE Access, 12:144082–144105, 2024.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks State-of-the-art in 1d convolutional neural networks: A survey.IEEE Access, 12:144082–144105, 2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.127666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f031bf56-0f26-4eb7-a84a-c8886e1093da · outbound

This paper cites Long short-term memory.Supervised Sequence Labelling with Recurrent Neural Networks, pages 37–45, 2012.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Long short-term memory.Supervised Sequence Labelling with Recurrent Neural Networks, pages 37–45, 2012

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.117577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cc39480a-5a11-4124-a74b-2064210bb553 · outbound

This paper cites an unresolved cited work.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-07-06T02:51:53.129276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 42a4ad74-a5a9-4c29-b96b-7841a0b99f65 · outbound

This paper cites A unified approach to interpreting model predictions.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks A unified approach to interpreting model predictions

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.103421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9d892328-7d86-412a-bb8e-733638bc4f59 · outbound

This paper cites HopSkipJumpAttack: A query- efficient decision-based attack.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks HopSkipJumpAttack: A query- efficient decision-based attack

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.153837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5e7baad3-3129-4b90-b69c-7a9bbe0fd8dd · outbound

This paper cites Adversarial Robustness Toolbox v1.0.0.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Adversarial Robustness Toolbox v1.0.0

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T11:36:54.745641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fd5fb1cc-e5c7-4fa3-a44b-bf2e67a46783 · outbound

This paper cites Effective use of the McNemar test.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Effective use of the McNemar test

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.113302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2902196e-acda-4c78-b766-9cc89e395ddb · outbound

This paper cites Practical recommendations for gradient-based training of deep architectures.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Practical recommendations for gradient-based training of deep architectures

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.099256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5d7128c6-50e5-442c-871f-b16cfcb8db85 · outbound

This paper cites Energy-efficient deep learning-based intrusion detection system for edge computing: a novel DNN-KDQ model.Journal of Cloud Computing, 14:32,.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Energy-efficient deep learning-based intrusion detection system for edge computing: a novel DNN-KDQ model.Journal of Cloud Computing, 14:32,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.101573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 87c1a38f-3303-41b9-9998-0f31994061f6 · outbound

This paper cites an unresolved cited work.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Unresolved cited work

Reference 30

Resolution: verified exact; doi, observed 2026-07-02T11:36:54.455085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b8921896-a467-49dc-89cd-0b63ff7322ff · outbound

This paper cites From tiny machine learning to tiny deep learning: A survey, 2025.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks From tiny machine learning to tiny deep learning: A survey, 2025

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T02:51:53.115381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4b6f7539-7215-4003-be26-1fcabb195c8f · outbound

This paper cites A lightweight multi- classification intrusion detection model for edge IoT networks.Electronics, 15(5):938, 2026.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks A lightweight multi- classification intrusion detection model for edge IoT networks.Electronics, 15(5):938, 2026

Reference 32

Resolution: verified exact; doi, observed 2026-07-02T11:36:54.453199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a22e670b-cb78-4036-8f0b-4d2cab73e7ec · outbound

This paper cites an unresolved cited work.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Unresolved cited work

Reference 33

Resolution: verified exact; doi, observed 2026-07-02T11:36:54.449801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 87824335-2b12-4f10-a73c-b2faee050077 · outbound

This paper cites Lightweight intrusion detection system for IoT with improved feature engineering and advanced dynamic quantization.Discover Internet of Things, 5:97, 2025.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Lightweight intrusion detection system for IoT with improved feature engineering and advanced dynamic quantization.Discover Internet of Things, 5:97, 2025

Reference 34

Resolution: verified exact; doi, observed 2026-07-02T11:36:54.450746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.