Paper Citation Record · LEDGER

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification

As of 16 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2505.12106.

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

pith.paper-citation-record.v1
2505.12106 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:45:14.244387Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:00:44.892647Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:00:45.405278Z

Reference resolution

65 of 65 outbound references displayed

verified exact1
verified fuzzy60
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5bd4c626-eb27-4085-b714-21f1b7e74983 · outbound

This paper cites Market share of mobile operating systems worldwide from 2009 to 2024, by quarter.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Market share of mobile operating systems worldwide from 2009 to 2024, by quarter

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:15.217787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f15083cf-acea-42a1-8d8e-502bc273dd89 · outbound

This paper cites Smartphone operating system share by age group in the u.s.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Smartphone operating system share by age group in the u.s

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:15.204042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ccb8a4e8-8dea-4879-bfbc-637abfad36a0 · outbound

This paper cites Mobile security index (msi) report 2023: Security threats and attacks.https://www.verizon.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Mobile security index (msi) report 2023: Security threats and attacks.https://www.verizon

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:15.189577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b85052ff-4464-43ea-8091-aa09a80ba62a · outbound

This paper cites Virus-MNIST: A Benchmark Malware Dataset.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Virus-MNIST: A Benchmark Malware Dataset

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:13.977873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ded69ae6-16ed-4f60-a665-6b97b5f8a03c · outbound

This paper cites Understanding the spreading patterns of mobile phone viruses.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Understanding the spreading patterns of mobile phone viruses

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:15.175480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4ee63c6b-bf6b-4354-9814-ab8c41b1f0e8 · outbound

This paper cites Recent worms: a survey and trends.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Recent worms: a survey and trends

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:15.162127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1695cbaa-2b90-4347-80cb-cfc9f57ee2f8 · outbound

This paper cites Adware: a review.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Adware: a review

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:15.148555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b4946de0-5ee8-4e01-920f-bc8d1aeabe95 · outbound

This paper cites An analysis of android adware.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification An analysis of android adware

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:15.134411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 12c780b0-05f2-4181-9bc7-b68cde159f11 · outbound

This paper cites Exploring spyware effects.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Exploring spyware effects

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:15.120260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 059e58b7-3885-44e5-ba00-b2c725bb580f · outbound

This paper cites Ransomware: A research and a personal case study of dealing with this nasty malware.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Ransomware: A research and a personal case study of dealing with this nasty malware

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:15.107101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8e71b712-8b12-4f5a-aa1e-6dffc9ebae4e · outbound

This paper cites Rootkits and their effects on information security.Information Systems Security, 16(3):164–176, 2007.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Rootkits and their effects on information security.Information Systems Security, 16(3):164–176, 2007

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:15.093036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6660f7df-0fab-44b5-993e-9c7a92be8554 · outbound

This paper cites Study on computer trojan horse virus and its prevention.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Study on computer trojan horse virus and its prevention

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:15.078348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 802a279f-20ec-4fea-a0a1-f24245c86574 · outbound

This paper cites Keyloggers: silent cyber security weapons.Network Security, 2020(2):14– 19, 2020.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Keyloggers: silent cyber security weapons.Network Security, 2020(2):14– 19, 2020

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:15.064464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d238e323-feab-4dbc-876c-f9aa7aa0226d · outbound

This paper cites A survey of botnet and botnet detection.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification A survey of botnet and botnet detection

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:15.050130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5cbf5ccd-3f1e-43fc-bd58-effa361f1d59 · outbound

This paper cites A comprehensive survey on identification of malware types and malware classification using machine learning techniques.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification A comprehensive survey on identification of malware types and malware classification using machine learning techniques

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:15.036347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 97b14579-7d34-4407-b5bc-08cf4b238f59 · outbound

This paper cites Strengthening digital signatures via randomized hashing.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Strengthening digital signatures via randomized hashing

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:15.022360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0a641f1c-9e23-4176-a060-e133f2c305f2 · outbound

This paper cites Obfuscation techniques against signature-based detection: a case study.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Obfuscation techniques against signature-based detection: a case study

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:15.007717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 83d44367-fa78-4e5f-b1b8-a07064294b7e · outbound

This paper cites Datdroid: Dynamic analysis technique in android malware detection.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Datdroid: Dynamic analysis technique in android malware detection

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.992852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 43b8a705-6c9e-41e2-b13d-7f461a678809 · outbound

This paper cites A systematic literature review of android malware detection using static analysis.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification A systematic literature review of android malware detection using static analysis

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.978090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 79ffaa16-32a9-4d59-9616-cf9787cc5c7f · outbound

This paper cites Behavior analysis of malware using machine learning.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Behavior analysis of malware using machine learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.962734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2d513691-9126-4aa4-899f-78996f22146a · outbound

This paper cites Sequential digital signatures for cryptographic software-update authenti- cation.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Sequential digital signatures for cryptographic software-update authenti- cation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.949168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c65901e6-e4c1-4e57-97b2-4425d98ee2aa · outbound

This paper cites A study on malware and malware detection techniques.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification A study on malware and malware detection techniques

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.935112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4fdaa355-0b7b-41f0-8515-2d4371b79a15 · outbound

This paper cites Obfuscation- resilient android malware analysis based on complementary features.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Obfuscation- resilient android malware analysis based on complementary features

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.920584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a57f1da0-7c30-4f85-8dcf-554924386bbc · outbound

This paper cites The rise of obfuscated android malware and impacts on detection methods.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification The rise of obfuscated android malware and impacts on detection methods

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.906144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 419bb6ff-9650-4494-8595-ec0383c07128 · outbound

This paper cites Malgene: Automatic extraction of malware analysis evasion signature.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Malgene: Automatic extraction of malware analysis evasion signature

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.891558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5c85d958-6d0b-4a23-8f1f-479a7a890b67 · outbound

This paper cites An approach to dynamic malware analysis based on system and application code split.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification An approach to dynamic malware analysis based on system and application code split

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.876094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5d8544e9-bfa2-4962-9c80-f0b26332eb35 · outbound

This paper cites Nmal-droid: network- based android malware detection system using transfer learning and cnn-bigru ensemble.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Nmal-droid: network- based android malware detection system using transfer learning and cnn-bigru ensemble

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.861368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a4310238-5a56-408c-8bca-006eafbd1f7f · outbound

This paper cites Malware detection approach based on artifacts in memory image and dynamic analysis.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Malware detection approach based on artifacts in memory image and dynamic analysis

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.846464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b23dda90-6937-4992-bea9-b6af96255b13 · outbound

This paper cites A new approach to android malware detection using fuzzy logic-based simulated annealing and feature selection.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification A new approach to android malware detection using fuzzy logic-based simulated annealing and feature selection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.830268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3bb19c9d-895c-4124-b9e5-e90312cbb1b0 · outbound

This paper cites Potential of the dynamic approach to data analysis.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Potential of the dynamic approach to data analysis

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.814609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 05019582-436f-427d-96fe-87cb8440c22a · outbound

This paper cites Malware detection in android based on dynamic analysis.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Malware detection in android based on dynamic analysis

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.799518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6b5b3a63-666c-4186-87c9-489db62b813f · outbound

This paper cites Integrated static analysis for malware variants detection.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Integrated static analysis for malware variants detection

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.784886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5f848853-0283-465d-a43a-cf55dba0fd7d · outbound

This paper cites A Large-Scale Database for Graph Representation Learning.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification A Large-Scale Database for Graph Representation Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:14.103994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70e64b02-2e92-4482-ab9c-b10628432c3c · outbound

This paper cites Hit4mal: Hy- brid image transformation for malware classification.Transactions on Emerging Telecommunications Technologies, 31(11):e3789, 2020.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Hit4mal: Hy- brid image transformation for malware classification.Transactions on Emerging Telecommunications Technologies, 31(11):e3789, 2020

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.769678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fb1ed3b9-6b6b-439c-a050-d0d9da4385f7 · outbound

This paper cites Dynamic security analysis on android: A systematic literature review.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Dynamic security analysis on android: A systematic literature review

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.753363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7607d515-19a9-45c3-91fa-d40c601fff85 · outbound

This paper cites Image visualization based malware detection.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Image visualization based malware detection

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.737950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e6ca8f5f-696b-41ef-884c-04ce63f2394c · outbound

This paper cites Improving android malware detection with entropy bytecode-to-image encoding framework.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Improving android malware detection with entropy bytecode-to-image encoding framework

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.722783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f5b6a386-4bf5-4c8a-8ac5-e69bb08c7bb2 · outbound

This paper cites Euphony: harmonious unification of cacophonous anti-virus vendor labels for android malware.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Euphony: harmonious unification of cacophonous anti-virus vendor labels for android malware

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.707576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation df5fc45a-2006-4ced-82b7-5f3d232c99c3 · outbound

This paper cites https://www.virustotal.com.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification https://www.virustotal.com

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.691202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d9effebf-163a-462a-bc55-9adcb251be73 · outbound

This paper cites Convolutional neural network: a review of models, methodologies and applications to object detection.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Convolutional neural network: a review of models, methodologies and applications to object detection

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:14.133832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d64282a-3b4b-49c4-91de-cf470609565b · outbound

This paper cites A survey on deep learning-based lane detection algorithms for camera and lidar.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification A survey on deep learning-based lane detection algorithms for camera and lidar

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.665141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d1ad85b2-2374-4993-a567-3b2a6212b58f · outbound

This paper cites D-ddpm: Deep denoising diffusion probabilistic models for lesion segmentation and data generation in ultrasound imaging.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification D-ddpm: Deep denoising diffusion probabilistic models for lesion segmentation and data generation in ultrasound imaging

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.649703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 96e50b04-abc8-49d3-9b18-71274ee9e170 · outbound

This paper cites Anomaly detection for in-vehicle network using cnn-lstm with attention mechanism.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Anomaly detection for in-vehicle network using cnn-lstm with attention mechanism

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.635058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 963e4144-5ca8-4057-9193-9a245f474bb1 · outbound

This paper cites Androzoo: Collecting millions of android apps for the research community.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Androzoo: Collecting millions of android apps for the research community

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.620002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 01b3e883-a6c2-4c76-bd57-b14735ea1998 · outbound

This paper cites Drebin: Effective and explainable detection of android malware in your pocket.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Drebin: Effective and explainable detection of android malware in your pocket

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:14.155105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da24e4bf-ecd5-4a59-9da2-04708415b44b · outbound

This paper cites Malnet: A large-scale image database of malicious software.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Malnet: A large-scale image database of malicious software

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.595201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e9fe1242-dceb-4773-9fae-54bda259b587 · outbound

This paper cites A pe header-based method for malware detection using clustering and deep embedding techniques.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification A pe header-based method for malware detection using clustering and deep embedding techniques

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.581187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 72c5ad82-4de7-4db0-bedb-ab6fc69c66ed · outbound

This paper cites Malware images: visualization and automatic classification.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Malware images: visualization and automatic classification

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.567759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5d578b4d-0538-4c46-b8b4-3813b293a7aa · outbound

This paper cites SoK: Leveraging Transformers for Malware Analysis.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification SoK: Leveraging Transformers for Malware Analysis

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:45:14.288926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 87d2a8d0-7bdc-4fe9-ae26-1839567008f1 · outbound

This paper cites An- drodex: Android dex images of obfuscated malware.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification An- drodex: Android dex images of obfuscated malware

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.553959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 06d23b9e-f295-4937-81a1-ecb3d1148422 · outbound

This paper cites Malware classification with deep convolutional neural networks.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Malware classification with deep convolutional neural networks

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.539821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 467f8867-3392-4d71-9f3c-017a9d36ba4a · outbound

This paper cites Microsoft malware classification challenge (big 2015).

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Microsoft malware classification challenge (big 2015)

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.525751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 82181bdc-1da4-4ef0-9d81-ec4408421990 · outbound

This paper cites Advandmal: Adversarial training for android malware detection and family classification.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Advandmal: Adversarial training for android malware detection and family classification

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.511142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a00d960f-d1f4-4d14-a3bb-55b94af035b6 · outbound

This paper cites Android malware detection based on image-based features and machine learning techniques.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Android malware detection based on image-based features and machine learning techniques

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.496183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8b4fdf0c-62dd-4e88-a1a9-d44b3301b2b2 · outbound

This paper cites Dexray: a simple, yet effective deep learning approach to android malware detection based on image representation of bytecode.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Dexray: a simple, yet effective deep learning approach to android malware detection based on image representation of bytecode

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.482058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 49ef1ff5-ac47-4ab3-a0ec-37a8ed8f92b9 · outbound

This paper cites A novel malware detection and family classifi- cation scheme for iot based on deam and densenet.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification A novel malware detection and family classifi- cation scheme for iot based on deam and densenet

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.467014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9f77fc8e-f8f6-40ca-bf87-eb87e8ef990b · outbound

This paper cites Rgb-based android malware detection and classification using convolutional neural network.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Rgb-based android malware detection and classification using convolutional neural network

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.452399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 87053aac-24cf-4541-9452-b47810b6d9b5 · outbound

This paper cites Malssl–self-supervised learning for accurate and label-efficient malware classification.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Malssl–self-supervised learning for accurate and label-efficient malware classification

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.438019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 57314408-d77a-4852-be29-c11922bbe9f2 · outbound

This paper cites Androguard tool by google.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Androguard tool by google

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.422331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2bb10e33-f93c-4a60-8c51-d901eef9d186 · outbound

This paper cites (binvis) a library for drawing space-filling curves like the hilbert curve.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification (binvis) a library for drawing space-filling curves like the hilbert curve

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.406531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ff5c48de-72a2-40a3-add5-30469c0e6a4f · outbound

This paper cites Malgra: Machine learning and n-gram malware feature extraction and detection system.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Malgra: Machine learning and n-gram malware feature extraction and detection system

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.389775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f0b3b3fd-5037-4973-9db2-d216382eb5c6 · outbound

This paper cites Enhancing malware classifica- tion via self-similarity techniques.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Enhancing malware classifica- tion via self-similarity techniques

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.375227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 93163f84-f9ea-4376-bf5f-70f5f6f92126 · outbound

This paper cites An automated vision-based deep learning model for efficient detection of android malware attacks.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification An automated vision-based deep learning model for efficient detection of android malware attacks

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.361259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c8e1459c-2855-4902-9162-c839bc94b92c · outbound

This paper cites Machine learning with oversampling and undersampling techniques: overview study and experimental results.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Machine learning with oversampling and undersampling techniques: overview study and experimental results

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.347102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2af68dcb-9146-43f5-9e95-cf0d1a2d62f3 · outbound

This paper cites Handling class imbalance problem using oversampling techniques: A review.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification Handling class imbalance problem using oversampling techniques: A review

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:14.333167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation e1223d83-e9f5-451f-993e-08a5b40d0d22 · inbound

MalVol-25: A Diverse, Labelled and Detailed Volatile Memory Dataset for Malware Detection and Response Testing and Validation cites this paper.

MalVol-25: A Diverse, Labelled and Detailed Volatile Memory Dataset for Malware Detection and Response Testing and Validation MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:00:45.409503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.