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Paper Citation Record · LEDGER

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection

As of 8 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.

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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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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=sha256:6ce201962534d69e356c0d871e65e86147e1ac049ed3ba85bdc9a8bb85c97e51

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:eacb22ca868b17edecf9acd357624972bfcfee511be859eb7ebb8896375ca098

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=sha256:33ab3d1be8aca474e9dda01148640d28c3b40c26a58c9668b513aaf947ab213f

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:00:06.539662Z digest=sha256:79418279e865a211666827193168b036203d3326599196d65fa225edcf1f1f65

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=sha256:17a45e80d22691e415cdffa704718669d72234c392bb40883f3ea6b6c08405dc

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=sha256:60e30de786f09c39b7c586f5406a6391c03dbe810db677da923cebc2c6404a55

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:f1ba11c4d480afed34335b3e87e0f93dc6a3bb4b0ef2b69b2a6f48cabeb69de5

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:cd60ef17a2e8fbe09e2cccb9c9f8d356f5ea03b6b8b6e1ddeff8f51733b3f9d9

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=sha256:788b8a48ab53aded8ad6bdd25db14e4ea0c087dc7345731626051047bf1b56fa

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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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=sha256:834ae6f13082dcb69c60adee4687dc98fefdcde44b8a0330f30af80bc8c0b64a

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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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:d3283478ad058ace296a285332f1f4ed49d654af5b08a5af17774da524e5904d

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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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=sha256:195662d5c638d0b89062249624c8aa88389c1209cc79254ec8d84d0303a86e2d

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:a846db690be8aa8d44572605dd1202247fae1dd4d3c144943fdc097e2ad86d0b

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=sha256:1f1728834b077d2f4ec677e4749795e78a60ca44116a7e02d26a7ae8ff535d27

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=sha256:807f4a3c54049d459932614de1ac1c5d16ffb3bfd1978086e9e1f98b08b242c5

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:dc72ba04d769a646af82b9dc700e58db2ea322c5ba25e1d50c830505719a17ce

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:b9c85d50b116ccfc033555fef7afa4930e9251550e83377fbe7b21f23a2b51cd

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:f798d679433038a7a51f45f2b75984f11586ee14b7e5b419da0d027e0b83aa93

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

source=pdf_text observed=2026-08-06T15:00:06.595666Z digest=sha256:bd7d9e0a6e56a918332c256d0f8383a43bc1f0b9aca87f601b8041efdb828311

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:bcf26a2c247bfd4e46aa15b50caf508854e573045a6fb22db3a0e049fd27be98

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:b414719a3349380c5860ca2760d333dbee30d667ec1b5a531db850ee1bd26d36

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=sha256:46796fe41538ba9d37c24a326212c52ec4d0fba385c6786187a32ecdcee2c13f

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=sha256:5857521c7d45819f484028dcd8771e0078dd786c14b3afbc620fdbf46a64b504

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

source=pdf_text observed=2026-08-06T15:00:06.614884Z digest=sha256:1775d39a55344afa034d0614f8dda052d41d231e6c3be82e57d09b9edd5d60a4

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=sha256:20318cfb203293dee3eb74c71db8d52a24178ac54adcc86672c1dd6a711c1c2a

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

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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:a1eb6f73136e7dcb2db32e8f093897798d2fe3393c47091fa7410252739be439

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=sha256:1e94db33681ee38e3f285dcd1326dc79c2b03920799b317cd38925ad17f534c9

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:b6452ce274460688d28949a1a786466b78a85bef1d754269a533e55c58f53bc0

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=sha256:6bfe53947becaca5029a2ae96eaf0da410cfe7ead041cf87e4147a0d7d5ee60b

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

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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=sha256:32ff3d3c2a405c529382a6ae9a19270b41640daccaaee18e0d3e7b4d67b155dc

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=sha256:28b677fc282de0a0a5769f14d6e3da7b3d4e12c6a88ec3b0898f8b1c8e89188a

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:be2b799e5f54c541852edcecdf79075aae472b5fdf5ef1113757b2abf502c5ff

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
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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.

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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.

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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.

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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:be8665809ace0656aeed03b50b777edb51232009e6acca4a5a71e1ce87f462f7

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:f1be4f09d69fa25386de5e981ae0e9ddd16cd70b87571d8cfe4b4d93da279866

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:c6377aeb2aef8c25d56901a9c4c09ad2757900f7a69bba1c83495268a82ac525

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=sha256:2418df3b28d84ba4e4e01eb3589f79c31306a5445173757a3147391b62c73bf9

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.

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