Paper Citation Record · LEDGER

XAI and Android Malware Models

As of 13 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2411.16817.

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

pith.paper-citation-record.v1
2411.16817 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:03:57.641480Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

40 of 40 outbound references displayed

verified exact2
verified fuzzy32
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ae3942f5-e617-482c-b2cc-67a0f571849a · outbound

This paper cites Explainable artificial intelligence for cybersecurity: A lit- erature survey.

XAI and Android Malware Models Explainable artificial intelligence for cybersecurity: A lit- erature survey

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:58.209883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 917ea30e-b642-428f-9724-6baed08daaa7 · outbound

This paper cites DENAS: Automated rule generation by knowledge extraction from neural networks.

XAI and Android Malware Models DENAS: Automated rule generation by knowledge extraction from neural networks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:58.196464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1520449b-8910-44a5-805c-7e16853e99ba · outbound

This paper cites Austin, and Mark Stamp.

XAI and Android Malware Models Austin, and Mark Stamp

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T13:03:57.494867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11239fbb-17cc-4a04-b571-bc1c2a8f02f7 · outbound

This paper cites Can We Trust Your Explanations? Sanity Checks for Interpreters in Android Malware Analysis.

XAI and Android Malware Models Can We Trust Your Explanations? Sanity Checks for Interpreters in Android Malware Analysis

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:03:57.762863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c9288fb7-880c-417d-a005-714f5c5ade15 · outbound

This paper cites Understanding privacy awareness in Android app descriptions using deep learning.

XAI and Android Malware Models Understanding privacy awareness in Android app descriptions using deep learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:58.173823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 959a0b9e-9d76-444f-9af6-8d647612b285 · outbound

This paper cites https://www.gdatasoftware.com/blog/2018/11/31255-cyber- attacks-on-android-devices-on-the-rise , 2018.

XAI and Android Malware Models https://www.gdatasoftware.com/blog/2018/11/31255-cyber- attacks-on-android-devices-on-the-rise , 2018

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:58.159739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation db357cfd-0320-4021-ae6f-a6288fb95409 · outbound

This paper cites AI explanations whitepaper.

XAI and Android Malware Models AI explanations whitepaper

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:58.145698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 17a07cc7-db30-4402-a87d-f2327a0eae64 · outbound

This paper cites KronoDroid: Time-based hybrid-featured dataset for effective Android mal- ware detection and characterization.

XAI and Android Malware Models KronoDroid: Time-based hybrid-featured dataset for effective Android mal- ware detection and characterization

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:58.131389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6941c82a-426c-41a9-951d-43e2a8a9e6bc · outbound

This paper cites XAI: Explainable artificial intelligence.

XAI and Android Malware Models XAI: Explainable artificial intelligence

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:58.118665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ec8750af-2e88-4b30-97e8-fa3919d74690 · outbound

This paper cites An Introduction to Machine Learning In- terpretability.

XAI and Android Malware Models An Introduction to Machine Learning In- terpretability

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:58.106408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8518a701-fe25-4f65-b841-1b865b29fb16 · outbound

This paper cites Towards an interpretable deep learning model for mobile malware detection and family identification.

XAI and Android Malware Models Towards an interpretable deep learning model for mobile malware detection and family identification

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:58.092904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e0af36ad-8303-4ee8-b836-f666edcfb74e · outbound

This paper cites What is random forest? https://www.ibm.com/topics/random- forest.

XAI and Android Malware Models What is random forest? https://www.ibm.com/topics/random- forest

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:58.080244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2f8e3894-3866-4d00-b5f9-73f8f2800184 · outbound

This paper cites Zeus virus.

XAI and Android Malware Models Zeus virus

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:58.067675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5a41ad1b-8913-4267-9a05-aab39f5a22da · outbound

This paper cites To- wards explainable CNNs for Android malware detection.Procedia Computer Science, 184:959–965, 2021.

XAI and Android Malware Models To- wards explainable CNNs for Android malware detection.Procedia Computer Science, 184:959–965, 2021

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:58.054767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 945dd15c-142b-4ac1-be0c-3653d1ec75c4 · outbound

This paper cites an unresolved cited work.

XAI and Android Malware Models Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:03:58.042023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 327c188f-9be8-4620-8400-5afc445e197a · outbound

This paper cites ELI5: Permutation importance.

XAI and Android Malware Models ELI5: Permutation importance

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:58.029320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 069e3ab3-9240-4d90-96c2-5d848fb39242 · outbound

This paper cites https://github.com/marcotcr/lime.

XAI and Android Malware Models https://github.com/marcotcr/lime

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:58.016068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5001333a-6a82-4045-909a-f36428ee50a0 · outbound

This paper cites Ex- plainable AI: A review of machine learning interpretability methods.

XAI and Android Malware Models Ex- plainable AI: A review of machine learning interpretability methods

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:58.002509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 74da7b6d-d130-40f7-9725-99f53127d0fd · outbound

This paper cites Deep learn- ing for Android malware defenses: A systematic literature review.

XAI and Android Malware Models Deep learn- ing for Android malware defenses: A systematic literature review

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:57.988381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 29920fc9-a2f2-4562-ba3c-08649eebe5c7 · outbound

This paper cites Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?.

XAI and Android Malware Models Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:03:57.742178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 476cabd9-eefb-4af7-93f6-a4fd26577f67 · outbound

This paper cites A Unified Approach to Interpreting Model Predictions.

XAI and Android Malware Models A Unified Approach to Interpreting Model Predictions

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T13:03:57.562523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 962b56c0-fd4d-4a9a-940d-655c9862e494 · outbound

This paper cites https://developers.google.com/android/play- protect/phacategories, 2023.

XAI and Android Malware Models https://developers.google.com/android/play- protect/phacategories, 2023

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:57.974842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 46946bd0-fd88-43ed-ba32-28de94cc1035 · outbound

This paper cites Kimmel, Mahmoud Abdelsalam, and Maanak Gupta.

XAI and Android Malware Models Kimmel, Mahmoud Abdelsalam, and Maanak Gupta

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:57.961775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bc8f644f-7a24-4a06-bc2e-cb71a5be0421 · outbound

This paper cites What is interpretability? https://it.mathworks.com/ discovery/interpretability.html.

XAI and Android Malware Models What is interpretability? https://it.mathworks.com/ discovery/interpretability.html

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:57.948870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bd7046d5-df1b-4949-a296-64d9bca6dc36 · outbound

This paper cites Win32/winwebsec.

XAI and Android Malware Models Win32/winwebsec

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:57.936374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4eb0e563-4fe3-479b-8328-e3ca927b6adb · outbound

This paper cites Model Explainability and Interpretability.

XAI and Android Malware Models Model Explainability and Interpretability

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:57.924367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 40307744-40c1-4ff3-a66c-e53a09a25379 · outbound

This paper cites Interpretable Machine Learning.

XAI and Android Malware Models Interpretable Machine Learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:57.912814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e3b8db91-f3dc-4441-9e55-34be6aae1848 · outbound

This paper cites https://paperswithcode.com/ method/cam.

XAI and Android Malware Models https://paperswithcode.com/ method/cam

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:57.901048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 50bbc915-ab08-4d09-b640-8c4010460348 · outbound

This paper cites Malware detection using opcodes statistical features.

XAI and Android Malware Models Malware detection using opcodes statistical features

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:57.888339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cee01a85-cbad-4203-be59-84429c9d69e4 · outbound

This paper cites Exploring LIME explanations and the mathematics behind it.

XAI and Android Malware Models Exploring LIME explanations and the mathematics behind it

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:57.875546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6aad579f-f181-4aba-a4fd-b641197d67f6 · outbound

This paper cites https://scikit-learn.org/stable/modules/generated/ sklearn.svm.SVC.html.

XAI and Android Malware Models https://scikit-learn.org/stable/modules/generated/ sklearn.svm.SVC.html

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:57.862558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1b425159-4098-4107-ab14-492abe317096 · outbound

This paper cites Explanation- guided backdoor poisoning attacks against malware classifiers.

XAI and Android Malware Models Explanation- guided backdoor poisoning attacks against malware classifiers

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:57.848876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 60e82af4-3e64-4631-bb28-721cf8a49261 · outbound

This paper cites Information Security: Principles and Practice.

XAI and Android Malware Models Information Security: Principles and Practice

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:57.834424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation adc9021b-51a9-4cda-ad72-5c893983512a · outbound

This paper cites Introduction to Machine Learning with Applications in Infor- mation Security.

XAI and Android Malware Models Introduction to Machine Learning with Applications in Infor- mation Security

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:57.818630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ef52016c-cb47-462e-9976-2ea363237244 · outbound

This paper cites Explainable malware de- tection system using transformers-based transfer learning and multi-model visual representation.

XAI and Android Malware Models Explainable malware de- tection system using transformers-based transfer learning and multi-model visual representation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:57.803486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 75152937-1013-4263-b733-8bc6802d7188 · outbound

This paper cites Evaluating Explanation Methods for Deep Learning in Security.

XAI and Android Malware Models Evaluating Explanation Methods for Deep Learning in Security

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T13:03:57.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dec4da1-9cad-48ce-8c19-6456b04ee6b9 · outbound

This paper cites Why an Android App is Classified as Malware? Towards Malware Classification Interpretation.

XAI and Android Malware Models Why an Android App is Classified as Malware? Towards Malware Classification Interpretation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T13:03:57.628052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1ef401a-c28e-43b5-b29a-9f0fe53af784 · outbound

This paper cites Ex- plainable machine learning in cybersecurity: A survey.International Journal of Intelligent Systems , 37(12):12305–12334, 2022.

XAI and Android Malware Models Ex- plainable machine learning in cybersecurity: A survey.International Journal of Intelligent Systems , 37(12):12305–12334, 2022

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:57.789518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6d6a59d5-d2a4-4b16-a171-22fc182af409 · outbound

This paper cites Fast TreeSHAP: Accelerating SHAP Value Computation for Trees.

XAI and Android Malware Models Fast TreeSHAP: Accelerating SHAP Value Computation for Trees

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T13:03:57.636752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6701803-3829-40a0-b6d3-6b27dee2af54 · outbound

This paper cites CADE: Detecting and explaining concept drift samples for security applications.

XAI and Android Malware Models CADE: Detecting and explaining concept drift samples for security applications

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:03:57.776159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.