Paper Citation Record · LEDGER

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection

As of 14 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2507.17161.

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

pith.paper-citation-record.v1
2507.17161 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:00:06.677775Z

measured 42 of 42 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T18:04:09.528381Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T18:06:42.863373Z

Reference resolution

41 of 41 outbound references displayed

verified exact7
verified fuzzy21
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 646ea47b-bfc6-42d9-8484-2edf58a835cb · outbound

This paper cites Deep learning methods in network intrusion detection: A survey and an objective comparison.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Deep learning methods in network intrusion detection: A survey and an objective comparison

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:07.270379Z

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 22e40e1f-cd0d-4998-9805-a5bb8b8e86c8 · outbound

This paper cites Why Should I Trust Your IDS?.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Why Should I Trust Your IDS?

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:07.258629Z

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 4f222074-fd5c-4db3-b440-aafc65547d1f · outbound

This paper cites A Unified Approach to Interpreting Model Predictions.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection A Unified Approach to Interpreting Model Predictions

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T15:00:06.530297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80a844c5-3788-40a4-9159-1af14e4be1eb · outbound

This paper cites AI-Driven Zero Touch Network and Service Management in 5G and Beyond: Challenges and Research Directions.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection AI-Driven Zero Touch Network and Service Management in 5G and Beyond: Challenges and Research Directions

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:07.243908Z

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 46ee4dd3-c0d1-4601-831d-ee4516445547 · outbound

This paper cites Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T15:00:06.539662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7ad7dd5-1fc8-4464-ac4b-09f35519327e · outbound

This paper cites Counterfactual explanations and how to find them: literature review and benchmarking.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Counterfactual explanations and how to find them: literature review and benchmarking

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:07.229951Z

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 7b8157c5-62b3-466c-9148-f92b62ee2749 · outbound

This paper cites Counterfactual Explanations for Machine Learning: Challenges Revisited.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Counterfactual Explanations for Machine Learning: Challenges Revisited

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:00:06.549018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e597d020-3188-45a3-8229-4088042b6e8d · outbound

This paper cites Alonso, Alejandro Catala, and Martin Pereira-Farina.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Alonso, Alejandro Catala, and Martin Pereira-Farina

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:07.217812Z

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 1f3a7a5d-4c1e-40c0-8e21-3e58e8afa3c9 · outbound

This paper cites On Counterfactual Explanations under Predictive Multiplicity.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection On Counterfactual Explanations under Predictive Multiplicity

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:07.205381Z

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 23b51376-c150-409e-92a5-ca23e43b037c · outbound

This paper cites Equalizing Recourse across Groups.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Equalizing Recourse across Groups

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:00:06.560165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b433eef5-7c92-4749-99bb-e5cf584357e8 · outbound

This paper cites VCNet: A self-explaining model for realistic counterfactual generation, December 2022.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection VCNet: A self-explaining model for realistic counterfactual generation, December 2022

Reference 11

Resolution: verified exact; raw_fallback, observed 2026-08-06T15:00:06.945871Z

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 95c11c6e-bca8-4f52-9afb-a8fff87b5e21 · outbound

This paper cites Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:07.193368Z

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 743c5be1-9d1f-46cf-81c7-d18b60a91762 · outbound

This paper cites Towards Non-Adversarial Algorithmic Recourse.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Towards Non-Adversarial Algorithmic Recourse

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:00:06.853010Z

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 09edcd56-b062-4d61-9fd1-10967d4f682b · outbound

This paper cites SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T15:00:06.574828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96c071d7-fc1e-4e1b-88b0-3c6b0fbf23cf · outbound

This paper cites an unresolved cited work.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:00:07.181485Z

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 2ba55d3d-3e11-487d-b949-d0f9186e86b3 · outbound

This paper cites Explainable AI for Zero-Day Attack Detection in IoT Networks Using Attention Fusion Model.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Explainable AI for Zero-Day Attack Detection in IoT Networks Using Attention Fusion Model

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:07.169524Z

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 0a57eec4-41e5-4e35-a04e-a8dc52a93220 · outbound

This paper cites an unresolved cited work.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:00:07.158269Z

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 a542a4e6-522a-4d6a-8b9c-4c6a0d791209 · outbound

This paper cites Zomaya, and Zahir Tari.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Zomaya, and Zahir Tari

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:07.148283Z

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 ec43e0c1-c4ca-43e1-81e7-adaf4e86a2cd · outbound

This paper cites an unresolved cited work.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:00:07.138089Z

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 6a1e6db7-9409-47b2-b363-a281fbf05b54 · outbound

This paper cites Evaluating Explainable AI for Deep Learning-Based Network Intrusion Detection System Alert Classification.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Evaluating Explainable AI for Deep Learning-Based Network Intrusion Detection System Alert Classification

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:07.127002Z

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 1482a8f3-ae0c-4e41-9a32-afce1ad79577 · outbound

This paper cites Enhancing Intrusion Detection Systems With Advanced Machine Learning Techniques: An Ensemble and Explainable Artificial Intelligence (AI) Approach.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Enhancing Intrusion Detection Systems With Advanced Machine Learning Techniques: An Ensemble and Explainable Artificial Intelligence (AI) Approach

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:07.114865Z

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 2defbfe1-d557-4833-aa76-9eff0fb6c0e3 · outbound

This paper cites Marino, Chathurika S.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Marino, Chathurika S

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:07.102839Z

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 303fa020-7b2f-4e3b-b8fc-baa6214b5f4f · outbound

This paper cites Intrusion detection framework based on causal reasoning for DDoS.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Intrusion detection framework based on causal reasoning for DDoS

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:07.091760Z

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 8ea0dda2-8f3f-4652-9286-b05f1159c928 · outbound

This paper cites Leveraging Explainable AI for Actionable Insights in IoT Intrusion Detection.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Leveraging Explainable AI for Actionable Insights in IoT Intrusion Detection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:07.080034Z

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 14ec1832-c2ea-4a45-8738-86659a91ef17 · outbound

This paper cites Exploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Exploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:00:06.827257Z

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 01068d3c-3da9-4910-9192-6b98f88f18e3 · outbound

This paper cites Nguyen, and Amulya Yadav.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Nguyen, and Amulya Yadav

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:07.067999Z

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 bbbab870-00fa-4ef6-8d51-a92438352f80 · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Diffusion Models Beat GANs on Image Synthesis

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T15:00:06.623452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9042f7ca-93b8-4190-936f-34990b30a845 · outbound

This paper cites Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:00:06.802472Z

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 9e3d6da9-92a8-4dd6-8dd7-4d3067020016 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Progressive Distillation for Fast Sampling of Diffusion Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T15:00:06.630902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97b06ee2-32b1-4950-b423-2619a8e3a69d · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Denoising Diffusion Probabilistic Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T15:00:06.635146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57145dd4-377e-4a3f-a18f-0da9db1cffe4 · outbound

This paper cites TabDDPM: Modelling Tabular Data with Diffusion Models.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection TabDDPM: Modelling Tabular Data with Diffusion Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T15:00:06.639190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e593d186-7250-4bfa-b0b2-1fb6ac65755a · outbound

This paper cites UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set).

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:07.056674Z

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 41ae1e33-cb14-4351-a61c-3d043f5770ae · outbound

This paper cites Ghorbani.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Ghorbani

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:07.044967Z

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 d7412fca-96c3-4456-a5b6-74baa919a9f1 · outbound

This paper cites Ghorbani.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Ghorbani

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:07.034967Z

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 5b3951e8-c05e-41cd-aa1c-d1f25b4a768d · outbound

This paper cites Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:00:06.759171Z

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 76e941df-845d-4712-bb55-22ce3d099bd4 · outbound

This paper cites FACE: Feasible and Actionable Counterfactual Explanations.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection FACE: Feasible and Actionable Counterfactual Explanations

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:00:06.743888Z

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 6780e8a1-c000-44fd-9e58-257002f45f79 · outbound

This paper cites Learning Model-Agnostic Coun- terfactual Explanations for Tabular Data.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Learning Model-Agnostic Coun- terfactual Explanations for Tabular Data

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:07.023144Z

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 d44bec75-27f2-4e5b-a2e8-783d008fb6c9 · outbound

This paper cites CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T15:00:06.670487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5601b3cd-a645-4972-8caa-8728a63f985b · outbound

This paper cites Bench- marking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Bench- marking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:07.011973Z

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 b4cf3a81-6513-4596-863b-b04db884f92e · outbound

This paper cites Evaluation of Instance-Based Explanations: An In-Depth Analysis of Counterfac- tual Evaluation Metrics, Challenges, and the CEval Toolkit.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Evaluation of Instance-Based Explanations: An In-Depth Analysis of Counterfac- tual Evaluation Metrics, Challenges, and the CEval Toolkit

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:06.999600Z

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 0035e406-75b0-4402-919d-3e3e78ce5d45 · outbound

This paper cites Learning Model-Agnostic Counterfactual Explanations for Tabular Data.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Learning Model-Agnostic Counterfactual Explanations for Tabular Data

Reference 2020

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:00:06.727633Z

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

Observation 6dd29a55-3a81-47b5-9a99-4186636f3f86 · inbound

Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunities cites this paper.

Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunities Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection

Reference 205

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:06:42.866201Z

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.