Paper Citation Record · LEDGER

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network

As of 14 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2412.18932.

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

pith.paper-citation-record.v1
2412.18932 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:22:26.599731Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

48 of 48 outbound references displayed

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verified fuzzy35
unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ac3ae75-9fe0-439a-a0c3-2892bb9a04cd · outbound

This paper cites Deep Learning using Rectified Linear Units (ReLU).

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Deep Learning using Rectified Linear Units (ReLU)

Reference 1

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Observation ad7fbce3-949d-40cf-b278-78f5be5ed157 · outbound

This paper cites Hidden Markov modelling (HMM) — An introduction.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Hidden Markov modelling (HMM) — An introduction

Reference 2

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Observation b99543a4-4c6d-4238-a114-ba7ed74fb23a · outbound

This paper cites Hidden Markov models for malware classification.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Hidden Markov models for malware classification

Reference 3

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Observation 6cfe679c-3713-4480-be42-6d22e751e793 · outbound

This paper cites A survey on heuristic malware detection techniques.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network A survey on heuristic malware detection techniques

Reference 4

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Observation 3f2ffdd3-5b4a-43eb-8d9b-9a58ce32c3c3 · outbound

This paper cites Transfer learning for image-based malware classification.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Transfer learning for image-based malware classification

Reference 5

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Observation 1900a3db-e9d2-426b-8a73-921f6a0e40ec · outbound

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Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Unresolved cited work

Reference 6

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Observation df10dc46-51cd-4a1e-8fb5-bba7054c1ea5 · outbound

This paper cites Xception: Deep learning with depthwise separable convo- lutions.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Xception: Deep learning with depthwise separable convo- lutions

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:22:27.201436Z

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Observation 39e1302c-f19e-4e17-b7a8-d8212bc0069f · outbound

This paper cites https://www.computerhope.com/jargon/c/cridex- malware.htm, 2017.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network https://www.computerhope.com/jargon/c/cridex- malware.htm, 2017

Reference 8

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Observation 397a2e5f-d29b-472a-a353-147d24b843fd · outbound

This paper cites Austin, and Mark Stamp.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Austin, and Mark Stamp

Reference 9

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Observation 02c6617d-fb3b-47d6-a7af-703138734689 · outbound

This paper cites Recurrent neural networks.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Recurrent neural networks

Reference 10

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Observation 3d70219d-1df8-4cc3-85c6-cb18850c6dac · outbound

This paper cites Hidden Markov models.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Hidden Markov models

Reference 11

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Observation 3748703e-f474-4d76-b22a-82eb089b036b · outbound

This paper cites Random Forest for Malware Classification.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Random Forest for Malware Classification

Reference 12

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Observation 6adc2dae-065e-48a4-9177-df18d64ff414 · outbound

This paper cites Identity map- pings in deep residual networks.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Identity map- pings in deep residual networks

Reference 13

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Observation 44cf8aa8-8e57-431d-b6e3-eb22843c7808 · outbound

This paper cites Densely connected convolutional networks.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Densely connected convolutional networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:22:27.127946Z

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Observation b58cf183-0f06-495f-b55a-877d0d412aa6 · outbound

This paper cites Convolutional neu- ral networks and extreme learning machines for malware classification.Jour- nal of Computer Virology and Hacking Techniques , 16(3):229–244, 2020.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Convolutional neu- ral networks and extreme learning machines for malware classification.Jour- nal of Computer Virology and Hacking Techniques , 16(3):229–244, 2020

Reference 15

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Observation 48b16b91-fe03-435a-bad2-fc50d3c1a91c · outbound

This paper cites Global Cyber Policy Radar: Report on Cyber Security Regula- tion Trends.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Global Cyber Policy Radar: Report on Cyber Security Regula- tion Trends

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:22:27.107337Z

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Observation 3ce6cf92-5003-44c4-ba01-64c18f7cd360 · outbound

This paper cites an unresolved cited work.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Unresolved cited work

Reference 17

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Observation 6a6ff093-c359-492d-8c7e-612808c7ea38 · outbound

This paper cites Support vector machine for malware analysis and classification.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Support vector machine for malware analysis and classification

Reference 18

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Observation ba7e5d4a-aebf-4575-8d36-37ba1d9c8631 · outbound

This paper cites Grid Search, Random Search, Genetic Algorithm: A Big Comparison for NAS.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Grid Search, Random Search, Genetic Algorithm: A Big Comparison for NAS

Reference 19

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Observation 414f5636-2d71-4ab4-83d4-96abe9bca35f · outbound

This paper cites Network In Network.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Network In Network

Reference 20

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Observation 9f9bc446-882d-4e23-9de4-b113b5595591 · outbound

This paper cites Malware Detection with LSTM using Opcode Language.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Malware Detection with LSTM using Opcode Language

Reference 21

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This paper cites an unresolved cited work.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Unresolved cited work

Reference 22

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Observation e428cf0f-3588-475a-9753-8802cda01a7f · outbound

This paper cites A natural language pro- cessing approach to malware classification.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network A natural language pro- cessing approach to malware classification

Reference 23

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Observation b9d8ed93-2cae-4bdf-8f83-2b212b4a0949 · outbound

This paper cites https://www.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network https://www

Reference 24

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Observation b059befb-0fe9-42db-ae1f-48f42a4ab08c · outbound

This paper cites Method- ology for malware classification using a random forest classifier.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Method- ology for malware classification using a random forest classifier

Reference 25

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Observation de8d9e30-2a64-4f6c-b700-088c4813941e · outbound

This paper cites Zubair Rafique, and Juan Caballero.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Zubair Rafique, and Juan Caballero

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:22:27.022361Z

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Observation 4706b45d-a56d-41a1-ae50-3c9b01cb45b5 · outbound

This paper cites Karthikeyan, Gregoire Jacob, and B.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Karthikeyan, Gregoire Jacob, and B

Reference 27

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Observation 1527fd11-074e-44ad-bb2e-7c6c5d0699e8 · outbound

This paper cites Zeroaccess indepth.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Zeroaccess indepth

Reference 28

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Observation 5a06eda5-7cf5-4e01-89cf-141ee92af35f · outbound

This paper cites Generative adversarial networks and image-based malware classification.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Generative adversarial networks and image-based malware classification

Reference 29

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Observation 22b5b7ea-6d0a-4cd9-a270-b12856670bbd · outbound

This paper cites An Introduction to Convolutional Neural Networks.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network An Introduction to Convolutional Neural Networks

Reference 30

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Observation 55e90154-d030-4ff7-82f5-d1396c074fd0 · outbound

This paper cites Stokes, Hermineh Sanossian, Mady Marinescu, and Anil Thomas.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Stokes, Hermineh Sanossian, Mady Marinescu, and Anil Thomas

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:22:26.967616Z

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Observation 1dce8d55-196a-4601-a93d-95bfdfe70a8b · outbound

This paper cites Prokhorov.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Prokhorov

Reference 32

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This paper cites an unresolved cited work.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Unresolved cited work

Reference 33

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Observation 800b70d8-eeee-40b8-a7db-943d4e4a7207 · outbound

This paper cites https://www.microsoft.com/en-us/wdsi/threats/ malware-encyclopedia-description?Name=SecurityShield, 2019.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network https://www.microsoft.com/en-us/wdsi/threats/ malware-encyclopedia-description?Name=SecurityShield, 2019

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:22:26.932033Z

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Observation 02e32cab-6275-40a0-b30c-a69499fdaf47 · outbound

This paper cites Very deep convolutional net- works for large-scale image recognition.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Very deep convolutional net- works for large-scale image recognition

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:22:26.915839Z

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Observation 5e084864-7919-4fd8-80e5-e507d64bee96 · outbound

This paper cites Support vector machines and malware detection.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Support vector machines and malware detection

Reference 36

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Observation 806dcaf2-d203-4fdd-9abf-18ef8bc61a2f · outbound

This paper cites https://www.bleepingcomputer.com/virus-removal/ remove-smart-hdd, 2010.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network https://www.bleepingcomputer.com/virus-removal/ remove-smart-hdd, 2010

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:22:26.886504Z

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Observation 8af2d217-143d-4c33-bf32-7a38d008305d · outbound

This paper cites A revealing introduction to hidden Markov models.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network A revealing introduction to hidden Markov models

Reference 38

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Observation e2bddd6d-059c-406e-b2e7-47d09f28a419 · outbound

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

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Introduction to Machine Learning with Applications in Infor- mation Security

Reference 39

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This paper cites https://www.microsoft.com/enus/wdsi/threats/malware- encyclopedia-description?Name=Win32/Winwebsec, 2017.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network https://www.microsoft.com/enus/wdsi/threats/malware- encyclopedia-description?Name=Win32/Winwebsec, 2017

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:22:26.853719Z

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Observation da7bd705-e237-4426-9834-f1e124673cf6 · outbound

This paper cites Principal component analy- sis.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Principal component analy- sis

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:22:26.841353Z

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Observation 5fcd89e4-b302-4097-8ebb-dae41fc984b4 · outbound

This paper cites How does antivirus software work? https: //www.usnews.com/360-reviews/privacy/antivirus/how-does- antivirus-software-work.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network How does antivirus software work? https: //www.usnews.com/360-reviews/privacy/antivirus/how-does- antivirus-software-work

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:22:26.828709Z

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Observation 4621d137-95ac-4c8c-bd11-4c735752edba · outbound

This paper cites Hunting for metamorphic engines.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Hunting for metamorphic engines

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:22:26.815596Z

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Observation c7ada657-e6c7-44fd-9c30-27ce3f7ca8a7 · outbound

This paper cites Deep learning versus gist descriptors for image-based malware classi- fication.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Deep learning versus gist descriptors for image-based malware classi- fication

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:22:26.803945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 86d71110-d7a8-4604-a4d4-0eeeefae9732 · outbound

This paper cites Malware obfuscation techniques: A brief sur- vey.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Malware obfuscation techniques: A brief sur- vey

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:22:26.791528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e4ea2882-3ac6-40e3-b457-84cdb909fd20 · outbound

This paper cites https://www.microsoft.com/en-us/wdsi/threats/malware- encyclopedia-description?Name=PWS%3AWin32%2FZbot, 2017.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network https://www.microsoft.com/en-us/wdsi/threats/malware- encyclopedia-description?Name=PWS%3AWin32%2FZbot, 2017

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:22:26.779394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3e4a9165-af6f-4e9b-9f01-3c3e95250a4b · outbound

This paper cites Malware Classification with GMM-HMM Models.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Malware Classification with GMM-HMM Models

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-11T04:22:26.647430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 052877a8-818e-4b3e-9e19-78297487d40e · outbound

This paper cites EngmaSoft: Rootkit.HareBot.

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network EngmaSoft: Rootkit.HareBot

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:22:26.766854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.