Paper Citation Record · LEDGER

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework

As of 14 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2602.13271.

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

pith.paper-citation-record.v1
2602.13271 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:26:13.203923Z

measured 30 of 30 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

30 of 30 outbound references displayed

verified exact0
verified fuzzy0
unresolved30
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 26e0f655-8517-4e42-ab16-58af53a758e0 · outbound

This paper cites HDLNIDS: hybrid deep- learning-based network intrusion detection system,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework HDLNIDS: hybrid deep- learning-based network intrusion detection system,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:10.839151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10797bcf-12b2-4683-8c5c-177e78a69296 · outbound

This paper cites A novel two-stage deep learning model for network intrusion detection: LSTM- AE,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework A novel two-stage deep learning model for network intrusion detection: LSTM- AE,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:10.912532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a818219d-601f-40e8-ace0-9ae2cb23d459 · outbound

This paper cites A novel deep learning-based intrusion detection system for IOT networks,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework A novel deep learning-based intrusion detection system for IOT networks,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:11.005228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2aabff16-aa6d-435a-a213-bcf3a52baafc · outbound

This paper cites DCNNBiLSTM: An efficient hybrid deep learning-based intrusion detection system,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework DCNNBiLSTM: An efficient hybrid deep learning-based intrusion detection system,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:11.095831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 675324e4-f497-49de-9360-2ed530b913eb · outbound

This paper cites A deep learning technique for intrusion detection system using a recurrent neural networks based framework,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework A deep learning technique for intrusion detection system using a recurrent neural networks based framework,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:11.166030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e49eb32f-d1c7-415c-9f41-ca893e8fce5f · outbound

This paper cites NIDS-CNNLSTM: Network intrusion detection classification model based on deep learning,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework NIDS-CNNLSTM: Network intrusion detection classification model based on deep learning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:11.257199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37fd3083-178a-4242-af76-4b469e06262b · outbound

This paper cites Snort: Lightweight intrusion detection for networks.,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework Snort: Lightweight intrusion detection for networks.,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:11.339464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6db8d716-e57e-441e-9e31-eba2d2019883 · outbound

This paper cites Design and implementation of a lightweight intrusion detection and prevention system,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework Design and implementation of a lightweight intrusion detection and prevention system,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:11.443177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e89a031a-bfcb-47a5-ac16-8674e527a9ba · outbound

This paper cites Intrusion detection framework for internet of things with rule induction for model explana- tion,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework Intrusion detection framework for internet of things with rule induction for model explana- tion,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:11.518761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69dc584d-d1f1-4d19-afba-516a892c8b2d · outbound

This paper cites An efficient intrusion detection system based on hypergraph-genetic algorithm for parameter optimization and feature selection in support vector machine,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework An efficient intrusion detection system based on hypergraph-genetic algorithm for parameter optimization and feature selection in support vector machine,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:11.591960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c1f52c1-ea8e-41bf-af52-825255919a58 · outbound

This paper cites A lightweight framework to secure iot devices with limited resources in cloud environments,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework A lightweight framework to secure iot devices with limited resources in cloud environments,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:11.662604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90b8d665-652f-4007-8139-7f31ebf80830 · outbound

This paper cites Erbm: A machine learning-driven rule-based model for intrusion detection in iot environments.,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework Erbm: A machine learning-driven rule-based model for intrusion detection in iot environments.,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:11.762881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daa27c70-bd64-4b7a-adc4-0a3dcf4abf74 · outbound

This paper cites Gradient-based learning applied to document recognition,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework Gradient-based learning applied to document recognition,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:11.875477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de9729e3-c86e-483b-92f9-4e6fd6672caa · outbound

This paper cites Long short-term memory,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework Long short-term memory,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:11.956190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f987243-1c57-4199-a42d-9a53cb17345f · outbound

This paper cites Long-term traffic flow forecasting using a hybrid CNN-BiLSTM model,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework Long-term traffic flow forecasting using a hybrid CNN-BiLSTM model,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:12.013322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58ccece1-bc00-4d2a-bfc8-24a246afb300 · outbound

This paper cites An overview of XAI Algorithms,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework An overview of XAI Algorithms,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:12.113744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdb34be2-83eb-4f5e-98f3-3bf4fa6fb23a · outbound

This paper cites A detailed analysis on NSL-KDD dataset using various machine learning techniques for intrusion detection,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework A detailed analysis on NSL-KDD dataset using various machine learning techniques for intrusion detection,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:12.224652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6b1fa59-3387-4d1d-9b49-1c2c9b704f5e · outbound

This paper cites A detailed analysis of the KDD CUP 99 data set,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework A detailed analysis of the KDD CUP 99 data set,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:12.285905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb7b87a8-6f18-4f8c-9b85-19fbb3bfbfea · outbound

This paper cites An improved long short term memory network for intrusion detection,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework An improved long short term memory network for intrusion detection,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:12.362160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76a1e402-bc03-4b9e-82a6-6d744c115c98 · outbound

This paper cites Theoretical analysis of an alphabetic confusion matrix,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework Theoretical analysis of an alphabetic confusion matrix,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:12.440965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3361083c-3c52-4550-98ef-1a416f310f0a · outbound

This paper cites A new multi-classification task accuracy evaluation method based on confusion matrix,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework A new multi-classification task accuracy evaluation method based on confusion matrix,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:12.525625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c557e52a-e826-49b1-a62f-474ce246ac0d · outbound

This paper cites MLCM: Multi-label confusion matrix,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework MLCM: Multi-label confusion matrix,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:12.615724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2709138-363b-4834-aea5-60c4430af345 · outbound

This paper cites Evaluating deep learning models for network intrusion detection: A comparative analysis,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework Evaluating deep learning models for network intrusion detection: A comparative analysis,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:12.702724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a026ba6-12d5-4160-b0a0-f4cba5342e92 · outbound

This paper cites The Mini-IPIP6: Validation and extension of a short measure of the Big-Six factors of personality in New Zealand.,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework The Mini-IPIP6: Validation and extension of a short measure of the Big-Six factors of personality in New Zealand.,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:12.775870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5c5543b-1dc7-4b28-bad4-39e760abfc0a · outbound

This paper cites Effect of confidence and explanation on accuracy and trust calibration in ai-assisted decision mak- ing,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework Effect of confidence and explanation on accuracy and trust calibration in ai-assisted decision mak- ing,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:12.826361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bdef399-1a37-4f3f-8729-f72e6cc8a537 · outbound

This paper cites Monitoring oral health remotely: ethical considerations when using ai among vulnerable populations,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework Monitoring oral health remotely: ethical considerations when using ai among vulnerable populations,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:12.913500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb4f55d2-0231-46ca-8d31-92d98a8c4f90 · outbound

This paper cites Theoretical considerations and development of a question- naire to measure trust in automation,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework Theoretical considerations and development of a question- naire to measure trust in automation,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:13.000175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c5fbd28-bc22-458d-920a-45434c601b67 · outbound

This paper cites Sus-a quick and dirty usability scale,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework Sus-a quick and dirty usability scale,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:13.083870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37dc099e-fcd2-4487-a97e-c0d91b673189 · outbound

This paper cites Evaluating explainable AI for deep learning-based network intrusion detection system alert classification.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework Evaluating explainable AI for deep learning-based network intrusion detection system alert classification

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:13.161162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e49da97-0af3-4ca5-9703-1f6d1bb52f6b · outbound

This paper cites A novel explainable method based on grad-cam for network intrusion detection,.

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework A novel explainable method based on grad-cam for network intrusion detection,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T04:26:13.203923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.