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Paper Citation Record · LEDGER

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection

As of 7 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 2026-08-07T06:34:17.273281+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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.520966Z digest=sha256:b1d48c72f3d78f7c530389c06ed8309ffaa65d0db69eadfab223e9d2028383fc

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.525378Z digest=sha256:3ba9c174bc9f83826edbcfaf0784afca7b09e97eabbf8d1ddcc16f294f6d7c65

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:00:06.530297Z digest=sha256:2366180800181c2944a945764a4127c38a2520cfef3605e24fe6d01a44aa2c51

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.535512Z digest=sha256:d3f476d8132d3004b51cf5cc02a730e8f375cecdb139f61f85da614cc888b898

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:00:06.539662Z digest=sha256:ba5fa8a4902a509c3a2d9facf618fb85fb8bdc6932ab335d7bbd2e4c2b49d5d6

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.543969Z digest=sha256:5f9b1661c1520169283a0598087a1e35d2a7247a327d2fb1222e81bef4e99316

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:00:06.549018Z digest=sha256:586702b83877c897cd639f5954533ee7989e965e3fa1d7764a4b811c072b33e5

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.553506Z digest=sha256:67bdbb9fe3e95c4d369a930489f2e6ae6c2e688a61c77dbf5c1709601d34261f

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.556852Z digest=sha256:84149b8bf3c8579644e4e2929c01cb8909860051a508a0b7900fe0e934780100

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

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source=pdf_text observed=2026-08-06T15:00:06.560165Z digest=sha256:c52dc99fc97d9b14328498c375b79ffb601f1cd042bf0054d93f445b2720dd2b

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.564405Z digest=sha256:3a547287a5200e9b99d6de07df25f84cea217040ea3d963fb3932e5c4506d746

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.567852Z digest=sha256:ff1862b13993cd5d774b3c7cf8bd34c041f0220074cae121195ff5cf8cf12d64

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.571299Z digest=sha256:b6406b7244ec573592d05f42d6ae5bbba08180a8d3ba632fe65297989e6f74bc

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:00:06.574828Z digest=sha256:58d2044ca2c5bf193c89ab0fc8e60f0f73daaf077a82a3b49dc123cfac808833

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.578275Z digest=sha256:8c2dfc7d10c7fb575c95a7f5556d9072abb1b9d45b1831cbf826e0747e8efafd

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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.581505Z digest=sha256:59d3e5809afd19fd1c3c088d07f26923b73a0c638e59ca1b64e777a6c10062f8

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.585382Z digest=sha256:83fdc90520efa367a152d38a4bc1fb3ea5d734ef784b8af28115e1d942cfdc29

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.588961Z digest=sha256:fcec509858bf57da6f9fadf0e065a4aaeb6868cc71901acdd36275fa74ad15d6

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.592365Z digest=sha256:bc7cfa7ddbb0b898f78c0a9b7e53291121b2dcfc6d177c54f208cf7ff31a5207

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.595666Z digest=sha256:2f9398a94379ad24d91066a2981fc740de44d7c96c2af2683682df0011d8856f

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.598989Z digest=sha256:a99a59c004d57d9daf629f6d52f762bdcac2c0bc868a7d5b802ea6f730293d15

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.602858Z digest=sha256:3cf1d6e75916201c1436e72233002592c5c11fca5954b5493e24c898c29bf29d

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.607049Z digest=sha256:963d10bb402afff323e1982c12142b534b52a9728bb229c96d97be70a25a7f42

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.610927Z digest=sha256:a4f3bcabcdddb26b6617cab3c8ab41a66a3df0b55685327e43d030ffe3a56706

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
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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.614884Z digest=sha256:14a2375f56c2bed07efcb3b6c544937ae33f465de64571ed763f9b64b5fdafdd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.619123Z digest=sha256:a82776c7ea5d9753925d4cbd3152c61fc853eacc8693f4583ff7ffe46dcfdc46

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.

source=pdf_text observed=2026-08-06T15:00:06.623452Z digest=sha256:60211f3cfb6554a8492ca2881f898f5cd237f8bdde28e2e0ba50c16761d30991

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.627246Z digest=sha256:02110137f2eee644062b69ac6502191709dcc9da425338c66db04555e8020814

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.

source=pdf_text observed=2026-08-06T15:00:06.630902Z digest=sha256:62bb781206e56324d359cfd1b0ff227d733c068777abbc7777820e7d6214c859

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:00:06.635146Z digest=sha256:633be4f3e6ac6c46dc928d25bc61a2f76c43384ff70462b4ba9c82af89a2f3b7

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.

source=pdf_text observed=2026-08-06T15:00:06.639190Z digest=sha256:076e7f3d6a63f1fbc19e10e120922a6c9f605e3a5109d605becd763713f44cdc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.643346Z digest=sha256:770a0780a599907d3bfdab9f9a80743951e68cf8d4cc9b09dba9ff4fe7b75697

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

This paper cites Ghorbani.

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection Ghorbani

Reference 33

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.647348Z digest=sha256:832f80fdc5d2e512fbdf9e15180b1908079b0392db656a4fb91d119fa095ab5b

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 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.655150Z digest=sha256:31092dc0ba8a5ca0e48492452ef90bceeb86fb548927c2f4674d40d3ab7b2ea8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.658596Z digest=sha256:40cf735c0bea9e1a99e101c1b7171117c06e2acb7fe6410eecc7a972ec934ef5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.662467Z digest=sha256:5c3959bca0323dacb2605a406a002b84081da572a64bb8c3d5c19171632ea1b6

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.

source=pdf_text observed=2026-08-06T15:00:06.670487Z digest=sha256:f341bdd1b2afdc478a23ebd007d31ddac1d9a66b50c94cf29880ecf2d8cb072b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.674489Z digest=sha256:8697e7b2419bd71661495bbe72faa2211ede554ded031ba525b80ef11fe480de

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.677775Z digest=sha256:f6b7c6455e79ce3ce9c293c46e12750f36c10ca14da2968e2a8e455b56015227

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:00:06.666280Z digest=sha256:bc34be84eb2d41274f392778266694956726d4e2439a5ff6d7700bdef6c98c9a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T18:04:09.528381Z digest=sha256:4c812d57792e2f62ce1a7af53f8f9f696215165aadee6e0c63a31b8aefc070e7