Paper Citation Record · LEDGER

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification

As of 10 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.03653.

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

pith.paper-citation-record.v1
2607.03653 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T00:54:19.034695Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

36 of 36 outbound references displayed

verified exact4
verified fuzzy0
unresolved32
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 15027d59-5b2a-4feb-bcc3-63914cefc33a · outbound

This paper cites A survey of malware detection using deep learning,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification A survey of malware detection using deep learning,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d6e84db-9fc2-43ad-a5d3-0c531b6bf33c · outbound

This paper cites Stegomalware: A Systematic Survey of MalwareHiding and Detection in Images, Machine LearningModels and Research Challenges.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Stegomalware: A Systematic Survey of MalwareHiding and Detection in Images, Machine LearningModels and Research Challenges

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7cd410e-33e8-4f2f-b198-6d0e569a5f5e · outbound

This paper cites Classification of malware detection using machine learning algorithms: A survey,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Classification of malware detection using machine learning algorithms: A survey,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e5a5958-d866-430e-988d-98e4cf24797e · outbound

This paper cites A survey of recent advances in deep learning models for detecting malware in desktop and mobile platforms,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification A survey of recent advances in deep learning models for detecting malware in desktop and mobile platforms,

Reference 4

Resolution: verified exact; doi, observed 2026-07-12T00:58:23.245613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d6c5b9bb-9fb7-4213-a5cc-d12628709302 · outbound

This paper cites A comprehensive survey on malware detection techniques,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification A comprehensive survey on malware detection techniques,

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-12T00:58:23.268288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fef0e184-3dd2-4fa5-8fde-11b0bfafe33d · outbound

This paper cites Machine learning for anomaly detection: A systematic review,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Machine learning for anomaly detection: A systematic review,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6f04180-4f12-4f20-9b47-fa846f942998 · outbound

This paper cites Image-based malware classification using ensemble of cnn architectures (imcec),.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Image-based malware classification using ensemble of cnn architectures (imcec),

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dde98fc-0ef2-4beb-977a-3361286a2b96 · outbound

This paper cites Detection of malware by deep learning as cnn-lstm machine learning techniques in real time,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Detection of malware by deep learning as cnn-lstm machine learning techniques in real time,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c4211ae-377f-405e-8cb0-f0a043e57d98 · outbound

This paper cites Transfer Learning for Image-Based Malware Classification.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Transfer Learning for Image-Based Malware Classification

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d0e56e0-7d8e-4eae-9631-4d8c779bd3a9 · outbound

This paper cites Self-supervised vision transformers for malware detection,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Self-supervised vision transformers for malware detection,

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-12T00:58:23.257005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 58aeb087-c992-4fc8-a09f-a6c76b4b8d02 · outbound

This paper cites Classification of malware images using fine- tuned vit,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Classification of malware images using fine- tuned vit,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da9f876e-df3d-460a-8e1b-adb8fa16809a · outbound

This paper cites Accelerating Malware Classification: A Vision Transformer Solution.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Accelerating Malware Classification: A Vision Transformer Solution

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60964317-b760-47b5-bc45-3188abdc5a96 · outbound

This paper cites An explainable hybrid CNN–Transformer architecture for visual malware classification,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification An explainable hybrid CNN–Transformer architecture for visual malware classification,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 552d7323-8dc6-4cc1-a2c9-ec87a70a5f4c · outbound

This paper cites Exploring machine learning for malware detection with feature selection, explainable ai, and generative adversarial networks,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Exploring machine learning for malware detection with feature selection, explainable ai, and generative adversarial networks,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f48f96c6-f5f0-491a-8103-c8760744b828 · outbound

This paper cites Improving the robustness of ai-based malware detection using adversarial machine learning,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Improving the robustness of ai-based malware detection using adversarial machine learning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61c79c3f-861a-4cf9-b1e0-57428c8e4f72 · outbound

This paper cites HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs).

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48c1c717-55ad-45d7-8391-c6821a7f12e4 · outbound

This paper cites AI-based Malware and Ransomware Detection Models.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification AI-based Malware and Ransomware Detection Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c68a1eb2-56c7-4650-a179-0b4a012fb149 · outbound

This paper cites Enhancing Cyber Security Through Predictive Analytics: Real-Time Threat Detection and Response.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Enhancing Cyber Security Through Predictive Analytics: Real-Time Threat Detection and Response

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91b5db6d-481c-4678-874b-a8cc9aa0fb27 · outbound

This paper cites Malware detection using deep learning and graph embedding,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Malware detection using deep learning and graph embedding,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e69febae-fde2-4354-91ed-711ae29ecbf1 · outbound

This paper cites Image-based malware detection using convolu- tional neural network techniques,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Image-based malware detection using convolu- tional neural network techniques,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d91e1eb-7c09-4717-9225-5f496b14b255 · outbound

This paper cites Imbalanced Malware Images Classification: a CNN based Approach.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Imbalanced Malware Images Classification: a CNN based Approach

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff23fcfc-b644-4e7f-8a63-5156fd881515 · outbound

This paper cites Malware image classification using global context vision transformers for information security,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Malware image classification using global context vision transformers for information security,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eae41b9e-f01f-491e-bf09-90f89daf6504 · outbound

This paper cites Imcfn: Image-based malware classification using fine-tuned convolutional neural network architecture,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Imcfn: Image-based malware classification using fine-tuned convolutional neural network architecture,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ca30f37-34bd-4227-a050-d34d02c7d16a · outbound

This paper cites Available: https://doi.org/10.1016/j.comnet.2020.107138.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Available: https://doi.org/10.1016/j.comnet.2020.107138

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bc699ab-7214-4329-bc9f-766b39212617 · outbound

This paper cites A malware classification method based on directed api call relationships,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification A malware classification method based on directed api call relationships,

Reference 25

Resolution: verified exact; doi, observed 2026-07-12T00:58:23.283230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3b43bce0-c565-4040-b229-93eb1e9d51de · outbound

This paper cites Enhanced image-based malware classification using transformer-based convolu- tional neural networks,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Enhanced image-based malware classification using transformer-based convolu- tional neural networks,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eed2fcd5-0d6d-4bb0-9890-a255097fc8c2 · outbound

This paper cites MalSort: Lightweight and efficient image-based malware classification using masked self-supervised framework with Swin Transformer,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification MalSort: Lightweight and efficient image-based malware classification using masked self-supervised framework with Swin Transformer,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf182679-5527-4428-ab9d-7f158643daa7 · outbound

This paper cites Malware detector based on enhanced vision trans- former,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Malware detector based on enhanced vision trans- former,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2939e4f1-c84e-4d8b-ae55-5e71062e0506 · outbound

This paper cites Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fb9ff13-989e-4d88-aebe-9989f3c661a4 · outbound

This paper cites Malware images: Visualization and automatic classification,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Malware images: Visualization and automatic classification,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7d59ddf-6380-47d2-9116-cd3f9bfd289c · outbound

This paper cites Deep residual learning for image recognition,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Deep residual learning for image recognition,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40c04675-6376-40fe-ad3e-f5b46bd6847e · outbound

This paper cites Comparison of vision transformers and convolutional neural networks in medical image analysis: A systematic review,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Comparison of vision transformers and convolutional neural networks in medical image analysis: A systematic review,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1a9e20b-5027-4c41-adcf-72336e0a57eb · outbound

This paper cites Grad-CAM: Visual explanations from deep networks via gradient-based localization,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Grad-CAM: Visual explanations from deep networks via gradient-based localization,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78d7480c-6ccd-4f8b-8e25-13b4ccb51d14 · outbound

This paper cites Using convolutional neural networks for classification of malware represented as images,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Using convolutional neural networks for classification of malware represented as images,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3ee9be5-6876-4fed-8f87-cf5cf68d5786 · outbound

This paper cites Detection of exceptional malware variants using deep boosted feature spaces and machine learning,.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Detection of exceptional malware variants using deep boosted feature spaces and machine learning,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3560f7d7-460d-4496-af29-519a93a144c6 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Explaining and Harnessing Adversarial Examples

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.