Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:22:05.363299Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2608.12077.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:22:05.363299Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
49 of 49 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 3783a739-cb21-4dae-a676-df6c650d6666 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Unresolved cited work
Reference 1
Source-reported events for the cited work
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Observation 828fba69-70a2-4459-b114-4e9e96b02627 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models A comparison of selected image transformation techniques for malware classification
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b1830de6-ff65-4cba-8851-8f89580d16c2 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Unresolved cited work
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bd9022af-31b4-4173-8e0a-cb61de7f6c67 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Springer, 2006
Reference 4
Source-reported events for the cited work
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Observation 27a963c7-aecb-4014-b9d2-f1f7af8a6a63 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models RawMal-TF: Raw Malware Dataset Labeled by Type and Family
Reference 5
Source-reported events for the cited work
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Observation 7a3656f2-95bf-46f2-ad6c-e13211f9f255 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Low, and Mark Stamp
Reference 6
Source-reported events for the cited work
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Observation 582756ac-25a4-4c60-95dc-544f6d834367 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Trans- fer learning for image-based malware classification
Reference 7
Source-reported events for the cited work
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Observation 874ba858-4a31-4a2d-9e77-128aff323c72 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Random forests.Machine learning, 45(1):5–32, 2001
Reference 8
Source-reported events for the cited work
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Observation 3aa76d1f-f40c-4bd9-998b-98a5562453de · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Generalizing adversarial explanations with Grad- CAM
Reference 9
Source-reported events for the cited work
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Observation 019b55e0-63d5-41c9-8b81-eed827252f48 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models XGBoost: A Scalable Tree Boosting System
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a860da8-c1ab-4847-b253-d37ec7e78774 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Dynamic malware detection based on enhanced semantic API sequence features.Expert Systems with Applications, 315:131781, 2026
Reference 11
Source-reported events for the cited work
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Observation 89a88183-b786-4fab-8970-e836272302e2 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Unresolved cited work
Reference 12
Source-reported events for the cited work
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Observation fe559d9c-3f8b-42e4-8c46-2a6852458cbe · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Unresolved cited work
Reference 13
Source-reported events for the cited work
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Observation 17c891f9-8965-4f25-be27-cc0a0a79551c · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Unresolved cited work
Reference 14
Source-reported events for the cited work
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Observation ee4c3175-4fe1-4dd7-becc-ba7078604ff7 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Histograms of oriented gradients for human detection
Reference 15
Source-reported events for the cited work
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Observation 3cae75f9-3618-4518-9c96-cc723cc00019 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Austin, and Mark Stamp
Reference 16
Source-reported events for the cited work
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Observation 5689a5d4-82f1-4e47-b6bf-361070155fec · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Unresolved cited work
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 81a83d3a-2c3e-4717-8671-3f4e32f2a07f · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networks
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 870a144d-91e6-476e-85c8-aa4fea2ce211 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Computing and evaluating saliency maps for image classification: a tutorial.Journal of Electronic Imaging, 32(2):020801, 2023
Reference 19
Source-reported events for the cited work
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Observation f24cc48a-440c-4150-834b-9ef88e24f9b7 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Unresolved cited work
Reference 20
Source-reported events for the cited work
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Observation e9a2d6ab-1023-4686-b108-11861883a25e · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Haralick, K
Reference 21
Source-reported events for the cited work
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Observation 8b34e024-4a8c-45d9-ba6b-daad40d5a7d3 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Unresolved cited work
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 572e7635-8513-4cca-944d-832b4fdb7343 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Malware detection with structural entropy features using multilayer perceptron neural network
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 11da5724-c05b-4c69-8e45-3f84d9b9562d · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Unresolved cited work
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0daf2040-4ae0-41b5-8da1-0d56ff51ff3d · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models GIWRF-SMOTE: Gini impurity- based weighted random forest with SMOTE for effective malware attack and anomaly detection in IoT-Edge.Smart Science, 11(2):276–292, 2023
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4f1c6641-6ff0-4152-810a-21c62524c087 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Kimmell, Mahmoud Ab- delsalam, Sajad Khorsandroo, and Maanak Gupta
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fd13e255-f605-474e-8b3c-622f7b20fc03 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Evaluation of printable character-based malicious PE file- detection method.Internet of Things, 19:100521, 2022
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3354516e-0aeb-41e6-9be0-02cf01df5d80 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Unresolved cited work
Reference 28
Source-reported events for the cited work
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Observation f8a752b5-2e68-4409-bd53-c0fb63bc7214 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Malware images: Visualization and automatic classification
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ab8a31a9-bd9b-44f6-a656-72fe95d3b7b1 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Advancing mal- ware imagery classification with explainable deep learning: A state-of-the-art approach using SHAP, LIME and Grad-CAM.PLOS ONE, 20(5):e0318542, 2025
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9b81e1f2-cb5d-483e-8bd9-81f13f65dac1 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Unresolved cited work
Reference 31
Source-reported events for the cited work
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Observation 1104d30a-8ed4-403a-8b8d-c4412901a4f1 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Unresolved cited work
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 56111f99-0de3-48b6-8bcd-b2765af013fa · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models RISE: Randomized input sampling for explanation of black-box models
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e0b453cc-19f4-4829-870c-aed5edd33ee4 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Unresolved cited work
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5b29ca8d-8d0e-4096-b989-d35d6872e89a · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a69d698b-fa90-4d1f-8f67-b140b6bdcd44 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models kaspersky.com/en/threat/HEUR:Trojan-Downloader.Win32.Seraph.gen/, 2025
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e9048e40-2b67-4d80-97a0-8c0ab52d27d7 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models An empirical analysis of invariance Hu’s moment feature over a digi- tal image
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2a35ecae-a843-4511-94d2-d025cb6152d6 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models kaspersky.com/en/threat/HEUR:Trojan-Spy.Win32.SnakeLogger.gen/, 2025
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1357d844-fc4a-4889-95aa-dacf91d8f2d2 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models A selective survey of deep learning techniques and their ap- plication to malware analysis
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 231e22c4-cd4f-4da4-99ce-b2862b78b73a · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models com/en/threat/HEUR:Trojan-PSW.Win32.Stealerc.gen/, 2025
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation cc3f8c86-43b1-4f53-82e8-05b6ff7802e4 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Unresolved cited work
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6bdeeabc-82d2-475a-99aa-656230718b78 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models BHMDC: A byte and hex n-gram based malware detection and classification method
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1380499d-430e-405b-8ee9-707a352923c2 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models kaspersky.com/en/threat/HEUR:Trojan-Downloader.Win32.Taskun.gen/, 2025
Reference 43
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 66cc5e60-dbbc-43ec-9b95-19612ecae86d · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Simple binary data visualization.https://martin.varela
Reference 44
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00be2e2d-e982-4716-929e-988b8869fe5a · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Unresolved cited work
Reference 45
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 51419711-d0d6-4951-9b0f-a634f0fa75cd · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Unresolved cited work
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8b8795ef-7224-4757-ae63-e5368158b865 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Hunting for metamorphic engines.Journal in Computer Virology, 2(3):211–229, 2006
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6dab3bc6-0d3a-4a4a-bec9-ad28d5eb649c · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Deep learning versus Gist descriptors for image-based malware classifi- cation
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bf1602ec-5dde-4d77-ac36-23201a673653 · outbound
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models Appendix In this Appendix, we give examples of malware images and their corresponding Grad-CAM overlay images
Reference 49
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
No inbound Pith citation observations are available.