Paper Citation Record · LEDGER

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics

As of 22 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2505.08006.

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

pith.paper-citation-record.v1
2505.08006 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:09:19.214989Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

28 of 28 outbound references displayed

verified exact0
verified fuzzy16
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 20def18a-3f4d-4d84-9ea6-566a239f1a1a · outbound

This paper cites Explainable artificial intelligence in cybersecurity: A survey,.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics Explainable artificial intelligence in cybersecurity: A survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:19.543598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5cadd136-ff14-485c-bb01-cbc1a5ee4a13 · outbound

This paper cites Explainable intrusion detection for cyber defences in the internet of things: Opportunities and solutions,.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics Explainable intrusion detection for cyber defences in the internet of things: Opportunities and solutions,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:19.532590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1c621043-a687-4ce1-b951-40921314a909 · outbound

This paper cites Evaluating feature relevance XAI in network intrusion detection,.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics Evaluating feature relevance XAI in network intrusion detection,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:19.520153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 546d9419-7d9d-45bf-8ff9-3d662ad34a9b · outbound

This paper cites Feature relevance XAI in anomaly detection: Reviewing approaches and challenges,.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics Feature relevance XAI in anomaly detection: Reviewing approaches and challenges,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:19.508172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 27d50dfd-74b4-4dd4-bc3c-8658370fbb0c · outbound

This paper cites One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:19.141716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14606fe9-8601-475e-8eeb-88958c6c90ff · outbound

This paper cites an unresolved cited work.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:09:19.496471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 03f049f5-01cb-4b99-babf-59a538d8121d · outbound

This paper cites An explainable ensemble deep learning approach for intrusion detection in industrial internet of things,.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics An explainable ensemble deep learning approach for intrusion detection in industrial internet of things,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:19.483800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9b12dd1d-6e26-4d29-9495-1962794512ef · outbound

This paper cites From black boxes to actionable insights: a perspective on explainable artificial intelligence for scientific discovery,.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics From black boxes to actionable insights: a perspective on explainable artificial intelligence for scientific discovery,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:19.468405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 734175a3-c5fe-48ee-8c0a-1ef25b7244d5 · outbound

This paper cites https://www.cisa.gov/news-events/news/best- practices-mitre-attckr-mapping, last accessed April 12, 2025.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics https://www.cisa.gov/news-events/news/best- practices-mitre-attckr-mapping, last accessed April 12, 2025

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:19.453719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1191461d-559d-4805-94da-f7430ca19eee · outbound

This paper cites In: Proceed- ings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD 2021), pp.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics In: Proceed- ings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD 2021), pp

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:19.441948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d0c27783-3ae3-4748-b9d9-d12a08f9b961 · outbound

This paper cites Large Language Models.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics Large Language Models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:19.431265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation da9a5fef-ba8b-4a67-a92f-a92b06e60fa1 · outbound

This paper cites an unresolved cited work.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:09:19.421998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b4512ca2-0b06-4902-8685-e9f7cf98b606 · outbound

This paper cites The MITRE Corporation, vol.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics The MITRE Corporation, vol

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:19.413007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d234811d-39bc-48eb-b4d6-c67681d91c60 · outbound

This paper cites an unresolved cited work.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:09:19.403937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f6342e3a-a07b-4f95-95c6-88736f8cff93 · outbound

This paper cites an unresolved cited work.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:09:19.393931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 02f300f8-4e56-492a-b043-2878066358b6 · outbound

This paper cites Towards understanding alerts raised by unsupervised network intrusion detection systems,.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics Towards understanding alerts raised by unsupervised network intrusion detection systems,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:19.384336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 220e680a-cd0b-4704-8fc6-c7713e58fc5f · outbound

This paper cites an unresolved cited work.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:09:19.374555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c8a3cb94-63a9-4bb9-9495-46b168ae8b96 · outbound

This paper cites an unresolved cited work.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:09:19.365039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation addecbb1-dc7d-4247-82e4-f7fc3a1fd67a · outbound

This paper cites an unresolved cited work.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:09:19.353830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 18612de9-4545-44e5-8c43-03274e2c4a0c · outbound

This paper cites Applied Sciences 14(10), 4170 (2024).

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics Applied Sciences 14(10), 4170 (2024)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:19.343563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 77f5af92-86ec-4556-a4a2-45878667e8ca · outbound

This paper cites In:2020 3rd International Conference on Artificial Intelligence and Pattern Recognition, pp.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics In:2020 3rd International Conference on Artificial Intelligence and Pattern Recognition, pp

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:19.334114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fcd11dc9-6d7e-40c1-a0b6-3bed6bea0766 · outbound

This paper cites In: Advances in Neural Information Processing Systems, vol.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics In: Advances in Neural Information Processing Systems, vol

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:19.322954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 04c6588e-5365-4759-8586-fc5137d4a0db · outbound

This paper cites Master’s thesis, Computer Science and Electronic Engineering (CSEE), University of Essex, Colchester, UK (2018).

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics Master’s thesis, Computer Science and Electronic Engineering (CSEE), University of Essex, Colchester, UK (2018)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:19.311497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e14987e4-2991-494b-8168-805696253882 · outbound

This paper cites https://attack.mitre.org/, last accessed 2025/04/19 Evaluating Explanation Quality in X-IDS 19.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics https://attack.mitre.org/, last accessed 2025/04/19 Evaluating Explanation Quality in X-IDS 19

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:09:19.301125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1f27a42d-dc9b-44c8-881d-e2d2b02981d1 · outbound

This paper cites Why model why? Assessing the strengths and limitations of LIME.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics Why model why? Assessing the strengths and limitations of LIME

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T22:09:19.204583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d916e9f-4b55-471d-9c49-d56d1625d6fe · outbound

This paper cites an unresolved cited work.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:09:19.288447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 58ce5a8e-1c82-45df-af3a-67520673fe06 · outbound

This paper cites an unresolved cited work.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:09:19.278972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d42f3cd2-1630-4287-8425-159ec8100e8e · outbound

This paper cites an unresolved cited work.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:09:19.269976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.