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Paper Citation Record · LEDGER

Signal-Based Malware Classification Using 1D CNNs

As of 8 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2509.06548.

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

pith.paper-citation-record.v1
2509.06548 v2

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:32:53.821278Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

63 of 63 outbound references displayed

  • verified exact20
  • verified fuzzy9
  • unresolved27
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e12cdcd2-6701-4a01-8300-dc924344ea8a · outbound

This paper cites sn-basic.bst.

Signal-Based Malware Classification Using 1D CNNs sn-basic.bst

Reference 1

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Observation b583fd3a-0283-4bfc-83e8-ff7879eb0566 · outbound

This paper cites write newline.

Signal-Based Malware Classification Using 1D CNNs write newline

Reference 2

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source=arxiv_source observed=2026-08-04T23:32:49.972217Z digest=sha256:226607927332e6bb13c0038405de4d8dc769340c88ef46988ffd4c542a387a67

Observation bc4a2a26-a865-41aa-8049-70649bdfa2fb · outbound

This paper cites write newline.

Signal-Based Malware Classification Using 1D CNNs write newline

Reference 3

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Observation 04ef357d-d459-4ac0-8f06-5fd750d22d7e · outbound

This paper cites write newline.

Signal-Based Malware Classification Using 1D CNNs write newline

Reference 4

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Observation 7ff88fd2-17fe-4596-b306-dba09784092f · outbound

This paper cites write newline.

Signal-Based Malware Classification Using 1D CNNs write newline

Reference 5

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source=arxiv_source observed=2026-08-04T23:32:50.090244Z digest=sha256:fca002be557ec73d7ce81f4ce80502c4fe4226649534e76cad61b70fe123eef9

Observation 06659d82-fbc4-4ca2-a06a-0cbd0a9c477a · outbound

This paper cites write newline.

Signal-Based Malware Classification Using 1D CNNs write newline

Reference 6

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Observation 84324a96-66ce-492d-a0c0-b1d026adf952 · outbound

This paper cites write newline.

Signal-Based Malware Classification Using 1D CNNs write newline

Reference 7

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Observation 343e2a7d-5cd6-45cc-b838-419b1bc70f23 · outbound

This paper cites sn-aps.bst.

Signal-Based Malware Classification Using 1D CNNs sn-aps.bst

Reference 8

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Observation 98cb5e6e-629e-429b-9473-4416d343d7e7 · outbound

This paper cites write newline.

Signal-Based Malware Classification Using 1D CNNs write newline

Reference 9

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source=arxiv_source observed=2026-08-04T23:32:50.328342Z digest=sha256:0693cb1386724c29d478e566d667406d584f337439abbec41a00a237ddc5dbc0

Observation cce75fe0-b182-420b-bd1e-9c21f2ce3ca5 · outbound

This paper cites sn-nature.bst.

Signal-Based Malware Classification Using 1D CNNs sn-nature.bst

Reference 10

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source=arxiv_source observed=2026-08-04T23:32:50.368337Z digest=sha256:7381c850fc4cf6193a38df716bfbd3e3945800ba5825b880868ecd42d1ddee03

Observation 9ed0b84a-7e00-4d33-8972-c1241da05b25 · outbound

This paper cites write newline.

Signal-Based Malware Classification Using 1D CNNs write newline

Reference 11

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source=arxiv_source observed=2026-08-04T23:32:50.451193Z digest=sha256:c258e14d00b365b0dbeb982b88156256d5758b9a6158bea49bc161f8bd1825c3

Observation a56a3caa-5815-4b6c-b222-8dcd814bd273 · outbound

This paper cites sn-vancouver-num.bst.

Signal-Based Malware Classification Using 1D CNNs sn-vancouver-num.bst

Reference 12

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source=arxiv_source observed=2026-08-04T23:32:50.471728Z digest=sha256:fbe7d3dd092c12140a2308eb5ebd7fd97a7006c4d3d781862bca5cb79b49f3a3

Observation e47c5594-bd07-4d1d-98d2-c8e62b9e7276 · outbound

This paper cites write newline.

Signal-Based Malware Classification Using 1D CNNs write newline

Reference 13

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source=arxiv_source observed=2026-08-04T23:32:50.511846Z digest=sha256:a22d468e555f55992cc10c64077bab426cef02867d4bd8cfdaa90c96bac34fd0

Observation 22146525-0f31-44e8-b9f7-15840ad001ac · outbound

This paper cites an unresolved cited work.

Signal-Based Malware Classification Using 1D CNNs Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:50.570114Z digest=sha256:b50d0c84afb8aacc34a4efc6f2b443850094caf6a17895b99d020d5c50156476

Observation d990ffc1-784a-4b31-9245-96e33ca90c52 · outbound

This paper cites Journal of Information Security and Applications 59:102828.

Signal-Based Malware Classification Using 1D CNNs Journal of Information Security and Applications 59:102828

Reference 15

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source=arxiv_source observed=2026-08-04T23:32:50.618620Z digest=sha256:bfeb1cd7c48a61f85f0da95db6ce4044bfafbd97b474c0e67c6e6e90e8ba215f

Observation ff772cf9-9a5d-49e5-891e-6bc9af3340e3 · outbound

This paper cites In: Proceedings of the 13th International Conference on Mining Software Repositories.

Signal-Based Malware Classification Using 1D CNNs In: Proceedings of the 13th International Conference on Mining Software Repositories

Reference 16

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source=arxiv_source observed=2026-08-04T23:32:50.678917Z digest=sha256:a5cf96a32a9fab042fd65b52037174745fb1c4e46ffb9ba17f79abac526e2f2e

Observation 30a3d7ea-73d5-443e-9dfc-364cea66a92d · outbound

This paper cites In: 2018 13th International Conference on Malicious and Unwanted Software (MALWARE), pp 103--111, doi:10.1109/MALWARE.2018.8659358.

Signal-Based Malware Classification Using 1D CNNs In: 2018 13th International Conference on Malicious and Unwanted Software (MALWARE), pp 103--111, doi:10.1109/MALWARE.2018.8659358

Reference 17

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source=arxiv_source observed=2026-08-04T23:32:50.726270Z digest=sha256:88f05de40b85bc9e08d015106edb9b440c78dd4cef7084184ee4733d8d94f972

Observation ad89be53-41e5-45b4-867c-50e4e1a11a56 · outbound

This paper cites In: Proceedings of the 5th ACM Workshop on Security and Artificial Intelligence.

Signal-Based Malware Classification Using 1D CNNs In: Proceedings of the 5th ACM Workshop on Security and Artificial Intelligence

Reference 18

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source=arxiv_source observed=2026-08-04T23:32:50.776979Z digest=sha256:afcde6229101421ced6fdd1a4aa098ad281eae02bf1923b1be6a3d2031fa26e3

Observation accc1fa7-35b6-4186-a938-6bc857462f12 · outbound

This paper cites EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models.

Signal-Based Malware Classification Using 1D CNNs EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models

Reference 19

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source=arxiv_source observed=2026-08-04T23:32:50.847614Z digest=sha256:ffd2356644f73d836087a339e3bd632cb67e930236ac1c11ba14725b4a3d622c

Observation 5c944625-6cbf-425b-87c8-bbcad3f4e459 · outbound

This paper cites In: 2022 IEEE Symposium on Computers and Communications (ISCC), pp 1--6, doi:10.1109/ISCC55528.2022.9912986.

Signal-Based Malware Classification Using 1D CNNs In: 2022 IEEE Symposium on Computers and Communications (ISCC), pp 1--6, doi:10.1109/ISCC55528.2022.9912986

Reference 20

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source=arxiv_source observed=2026-08-04T23:32:50.896043Z digest=sha256:2203ecc8918202fbe0aebc97d61690bef72c006e5f5378637a932d8449b4f29e

Observation 39431204-810e-43cd-ade0-9c5615600279 · outbound

This paper cites Electronics 11(19):3064.

Signal-Based Malware Classification Using 1D CNNs Electronics 11(19):3064

Reference 21

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:50.950601Z digest=sha256:fb5541931bbd55af4054c2d2dc9cb354c745ce5686ea8e6416921550eb593461

Observation 338b7424-178b-41e8-8643-fa3681bf161b · outbound

This paper cites In: Goodall JR, Conti G, Ma KL (eds) Visualization for Computer Security.

Signal-Based Malware Classification Using 1D CNNs In: Goodall JR, Conti G, Ma KL (eds) Visualization for Computer Security

Reference 22

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Observation d969c912-7fdc-4b84-8f1d-6486489e8a6f · outbound

This paper cites Digital Investigation 7:S3--S12.

Signal-Based Malware Classification Using 1D CNNs Digital Investigation 7:S3--S12

Reference 23

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doi, observed 2026-08-04T23:32:54.893130Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f79d1e35-c564-40be-a84f-39f76c7d6edc · outbound

This paper cites Machine Learning: Science and Technology 4.

Signal-Based Malware Classification Using 1D CNNs Machine Learning: Science and Technology 4

Reference 24

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source=arxiv_source observed=2026-08-04T23:32:51.181988Z digest=sha256:c34ed5ebf4feccfb0e0bfeb84fdbe1b431b33819a0ad322c46be0be03cf9dfca

Observation 420536b5-9011-469e-a3b5-343c219ef0bf · outbound

This paper cites Electronics 10(4).

Signal-Based Malware Classification Using 1D CNNs Electronics 10(4)

Reference 25

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doi, observed 2026-08-04T23:32:54.711327Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:51.226570Z digest=sha256:c56ecdda2faa80271f13ac5aa4b8221096f2db75333c24fe587113aa115ed227

Observation 218920ac-8c2d-41b0-ba28-d2d4b9384e46 · outbound

This paper cites pp 138--146, doi:10.1109/COMSNETS53615.2022.9668396.

Signal-Based Malware Classification Using 1D CNNs pp 138--146, doi:10.1109/COMSNETS53615.2022.9668396

Reference 26

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source=arxiv_source observed=2026-08-04T23:32:51.346643Z digest=sha256:befc1f8e20b11c4bd31ce2b89fff89d8685a50af07e8028d086da414f3c6be06

Observation 361d00c2-7ef3-401d-93ef-b1bb608f6f6b · outbound

This paper cites IEEE Transactions on Network and Service Management 18(2):1165--1177.

Signal-Based Malware Classification Using 1D CNNs IEEE Transactions on Network and Service Management 18(2):1165--1177

Reference 27

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source=arxiv_source observed=2026-08-04T23:32:51.404260Z digest=sha256:ae3b56e9e5f561c9215e1b8cf5bbf86f94e33a6d6917ee98784781c9729e71ab

Observation ecc698e1-d433-4b6d-b121-f96bf8161319 · outbound

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

Signal-Based Malware Classification Using 1D CNNs A Large-Scale Database for Graph Representation Learning

Reference 28

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Observation a1778ef0-e3d4-4bd3-9324-9027d8aedf8d · outbound

This paper cites ://api.semanticscholar.org/CorpusID:44430018.

Signal-Based Malware Classification Using 1D CNNs ://api.semanticscholar.org/CorpusID:44430018

Reference 29

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:51.541560Z digest=sha256:4767c1b19c1096a501fb3bc79877a938e70501dbb765869f859c627ec1022300

Observation aff57941-666e-4a84-8306-bd26cf44cffe · outbound

This paper cites Computers & Security 95:101873.

Signal-Based Malware Classification Using 1D CNNs Computers & Security 95:101873

Reference 30

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source=arxiv_source observed=2026-08-04T23:32:51.618329Z digest=sha256:a66f25749877e58c3a612143c5bbecb4fe468d0723f7532dc2fce8273c25a096

Observation 2883b3ce-98e3-41ac-a9fa-4fc540692c22 · outbound

This paper cites In: 2018 IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA), pp 99--102, doi:10.1109/CSPA.2018.8368693.

Signal-Based Malware Classification Using 1D CNNs In: 2018 IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA), pp 99--102, doi:10.1109/CSPA.2018.8368693

Reference 31

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:51.690358Z digest=sha256:0fbd904fde9311973f57f692ca8d557225255ad634e1d2b927714ab9827858d8

Observation cd7ea055-8cb7-448f-8fa9-f28bd4a1f797 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Signal-Based Malware Classification Using 1D CNNs Deep Residual Learning for Image Recognition

Reference 32

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source=arxiv_source observed=2026-08-04T23:32:51.802880Z digest=sha256:a06bdf9f0266e54c5876da13fee963b6fe5b8f7ec6ad47c91d77bb090d2e76c2

Observation 7aafa871-14a4-4b0b-a297-83f7e3767717 · outbound

This paper cites Identity Mappings in Deep Residual Networks.

Signal-Based Malware Classification Using 1D CNNs Identity Mappings in Deep Residual Networks

Reference 33

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:32:51.873433Z digest=sha256:ceefef34020298b69d0cfb52884f368d0ddddd5bf01616a9c70277edf45ca951

Observation 847255a4-4b15-4aa4-babd-154d85095049 · outbound

This paper cites Bag of Tricks for Image Classification with Convolutional Neural Networks.

Signal-Based Malware Classification Using 1D CNNs Bag of Tricks for Image Classification with Convolutional Neural Networks

Reference 34

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:32:51.949323Z digest=sha256:c5c5c24a8b59c6cef975b7dd7ef763d40ce55782b606f6cf10d8394248961ab5

Observation 58fbec1b-e5fb-4a1e-8571-30c61ac69907 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Signal-Based Malware Classification Using 1D CNNs Gaussian Error Linear Units (GELUs)

Reference 35

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source=arxiv_source observed=2026-08-04T23:32:52.024364Z digest=sha256:cb434b756aec9a9eae4b258cf3a59ccc41b694bb2cec87b1dd6eda48d8ccbb3d

Observation dc872999-e3e1-47da-a823-14d123f8e26e · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Signal-Based Malware Classification Using 1D CNNs In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 36

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raw_fallback, observed 2026-08-04T23:32:59.779153Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:52.097751Z digest=sha256:036b7546b7136d4fbe5b1533c8240fddb5d97c28eb34d1a69aa594fc73ca15ac

Observation 94591aeb-d6b8-40d7-87b6-fd98e9429f7b · outbound

This paper cites R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections.

Signal-Based Malware Classification Using 1D CNNs R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections

Reference 37

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local_arxiv, observed 2026-08-04T23:32:58.804048Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:52.150018Z digest=sha256:e2303d02b0fb09b6a413aded8f3ab334b5d37bdb9334cbafe134acd77c593f0d

Observation 0d08ce21-9ded-4cd6-b1e5-3f6ff24b115e · outbound

This paper cites In: 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS), pp 1--5, doi:10.1109/NTMS.2018.8328749.

Signal-Based Malware Classification Using 1D CNNs In: 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS), pp 1--5, doi:10.1109/NTMS.2018.8328749

Reference 38

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verified exact
arxiv_id_nonexistent, observed 2026-08-04T23:32:58.784302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:52.226831Z digest=sha256:237a25f57d248d2fade8f39191aa9e92dd283e8011e4f7ef10b59d842b7e8429

Observation 45db8870-3ea0-454c-9fbc-dbe10bc8b831 · outbound

This paper cites IEEE Access 10:5518--5532.

Signal-Based Malware Classification Using 1D CNNs IEEE Access 10:5518--5532

Reference 39

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-04T23:32:58.564935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:52.271933Z digest=sha256:d9b95f5e3a45cde0e21ea735ced77a7459fe1b0ea70e90000ea8e4e069ba519f

Observation f54e15e4-4ef9-4e09-9f55-2dd8f0acf342 · outbound

This paper cites IEEE Access 11:22889--22903.

Signal-Based Malware Classification Using 1D CNNs IEEE Access 11:22889--22903

Reference 40

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-04T23:32:58.366379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:52.309684Z digest=sha256:60a75633938d6f733a8d3e6b63e91a615da042f7db05692410c8376d2b195abc

Observation f72b8453-4729-403a-b15a-af91f81f3c53 · outbound

This paper cites Frontiers of Information Technology & Electronic Engineering 18(9):1336--1347.

Signal-Based Malware Classification Using 1D CNNs Frontiers of Information Technology & Electronic Engineering 18(9):1336--1347

Reference 41

Resolution
verified exact
doi, observed 2026-08-04T23:32:54.544592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:52.376230Z digest=sha256:03ee394ac6769555e821e70bf87c503cd645fe53e8826b004ad09f299c8fd53d

Observation b51ee68e-019f-4721-a0d5-4b5828f50d0b · outbound

This paper cites ://api.semanticscholar.org/CorpusID:22879106.

Signal-Based Malware Classification Using 1D CNNs ://api.semanticscholar.org/CorpusID:22879106

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:32:59.765750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:52.444003Z digest=sha256:ebca2efb5abc13c12cfb8f67493541514a12c57b48982ed5f6faa95fe774794e

Observation c53e00bb-1868-460c-93a0-c194555148e4 · outbound

This paper cites IEEE Access 10:95970--95985.

Signal-Based Malware Classification Using 1D CNNs IEEE Access 10:95970--95985

Reference 43

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-04T23:32:58.164747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:52.542254Z digest=sha256:d042264788665e55ac53a6d9cc3bd56e844607416dce4c6457cca418dbf8ba2a

Observation a3ae2aa0-a186-4f91-aeb7-ecd4b18f6bb1 · outbound

This paper cites In: Proceedings of the Seventh ACM on Conference on Data and Application Security and Privacy.

Signal-Based Malware Classification Using 1D CNNs In: Proceedings of the Seventh ACM on Conference on Data and Application Security and Privacy

Reference 44

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-04T23:32:57.986715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:52.593691Z digest=sha256:b653699760d617632c8d5800a04824ca5c66fc46ec7b83bd9708ecb1e4cebdf7

Observation b8e46d18-09d3-4c9c-8669-ab05cf8ab289 · outbound

This paper cites Sensors 22:3094.

Signal-Based Malware Classification Using 1D CNNs Sensors 22:3094

Reference 45

Resolution
verified exact
doi, observed 2026-08-04T23:32:54.362520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:52.644650Z digest=sha256:785efebcaa09dfe232bf842b26920e0cecdc4e341abdd9c762b61ea9f48d867d

Observation 1b9daeb5-8f58-48ed-851e-8b844e70e660 · outbound

This paper cites In: 2014 IEEE Conference on Communications and Network Security, pp 283--291, doi:10.1109/CNS.2014.6997496.

Signal-Based Malware Classification Using 1D CNNs In: 2014 IEEE Conference on Communications and Network Security, pp 283--291, doi:10.1109/CNS.2014.6997496

Reference 46

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-04T23:32:57.728931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:52.689398Z digest=sha256:dd0cac80919fd94780243704d22fe72458d6171b3910fa9a03ee6546721e69fc

Observation ec8e24fa-cec5-4ea0-9576-dbe91d249faf · outbound

This paper cites In: Proceedings of the 8th International Symposium on Visualization for Cyber Security.

Signal-Based Malware Classification Using 1D CNNs In: Proceedings of the 8th International Symposium on Visualization for Cyber Security

Reference 47

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-04T23:32:57.403791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:52.756576Z digest=sha256:054adf0019b11d748348a988f7eec63ce15c942fdf16abaf834c78007b7e4ed1

Observation ba4785dc-fdf6-4880-9ca7-82d6bf4deb35 · outbound

This paper cites In: Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence.

Signal-Based Malware Classification Using 1D CNNs In: Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence

Reference 48

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-04T23:32:57.056794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:52.836718Z digest=sha256:eb5a6adb33d7627f1b922f5a3740235fedb7c4d0551c2be30e409a48405bd0d8

Observation 34bccfa9-51eb-4abf-9961-8cd841cf970e · outbound

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

Signal-Based Malware Classification Using 1D CNNs Virus-MNIST: A Benchmark Malware Dataset

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-04T23:32:52.909128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:32:52.909128Z digest=sha256:f49875c0805644e83e18d62466657ebacd07a7592c073bb755618c07e2c06ecf

Observation a7e43f49-ac81-4dde-bf40-950f6b089c92 · outbound

This paper cites Computational Intelligence 38(4):1536--1558.

Signal-Based Malware Classification Using 1D CNNs Computational Intelligence 38(4):1536--1558

Reference 50

Resolution
verified exact
doi, observed 2026-08-04T23:32:54.200508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:52.976342Z digest=sha256:108dab0a01c26c9e185420301af2f2d47c1be3417319534707eb6b1b3efe273c

Observation 96a66dc9-3e14-46df-b521-fcea1239e05f · outbound

This paper cites In: 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT), pp 1042--1049, doi:10.1109/ICSSIT55814.2023.10061076.

Signal-Based Malware Classification Using 1D CNNs In: 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT), pp 1042--1049, doi:10.1109/ICSSIT55814.2023.10061076

Reference 51

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-04T23:32:56.569227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:53.043533Z digest=sha256:e5ff799fdcc9521d8f6590fd289cb1f90ea05bb997ed9f978026443fa951229a

Observation df1cfcc6-c993-4f0a-bf89-a2cbdf2ae15c · outbound

This paper cites ://api.semanticscholar.org/CorpusID:21388434.

Signal-Based Malware Classification Using 1D CNNs ://api.semanticscholar.org/CorpusID:21388434

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:32:59.752290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:53.090767Z digest=sha256:0fbcab654229f38b246bcf9bb35f749a3f63a61e8e0b7e4803d370d7f1759f44

Observation 55fc7712-06ee-424e-8af2-152094cdf656 · outbound

This paper cites Microsoft Malware Classification Challenge.

Signal-Based Malware Classification Using 1D CNNs Microsoft Malware Classification Challenge

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-04T23:32:53.135936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:32:53.135936Z digest=sha256:3b6ae91f0bd4710c078c13ef23b0a1802eea44cb0ba8c2e286a8f772e77a0eed

Observation b2be86a4-a1ce-48bf-80df-fcb9dff3934f · outbound

This paper cites In: 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), pp 561--566, doi:10.1109/IWCMC.2019.8766515.

Signal-Based Malware Classification Using 1D CNNs In: 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), pp 561--566, doi:10.1109/IWCMC.2019.8766515

Reference 54

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-04T23:32:55.983562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:53.192610Z digest=sha256:55fcef30546e173dbda637940173e8ff19e9dee16639bb000d48f1c887a02f5f

Observation ed78af3d-198c-4d23-b606-1a47998e1235 · outbound

This paper cites pp 336--349, doi:10.1007/978-3-540-70500-0_25.

Signal-Based Malware Classification Using 1D CNNs pp 336--349, doi:10.1007/978-3-540-70500-0_25

Reference 55

Resolution
verified exact
doi, observed 2026-08-04T23:32:54.065595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:53.266891Z digest=sha256:5052d12379f6daefdd459141238d3bdf92362637c60584fa02254289a8cb1ef2

Observation 0a46432a-08d8-456c-8a95-c2c8e39b2b36 · outbound

This paper cites International Journal of Network Security & Its Applications (IJNSA) 13(2).

Signal-Based Malware Classification Using 1D CNNs International Journal of Network Security & Its Applications (IJNSA) 13(2)

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:32:59.739921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:53.298810Z digest=sha256:ba3b95b4aea44ebdc4a0d7e5e4d4375f09515f83fa853c14d5c05dc3c72ac842

Observation 2bc9108c-78b6-43cd-b642-fdb859ac4e7b · outbound

This paper cites pp 85--98, doi:10.5121/csit.2021.110106.

Signal-Based Malware Classification Using 1D CNNs pp 85--98, doi:10.5121/csit.2021.110106

Reference 57

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-04T23:32:55.570917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:53.339359Z digest=sha256:a3f953056696e7f89f96f23c82f8c48d2cee4d55f4281f9114f10900f1a4c4db

Observation bdfca785-e442-43d4-bc78-505a098a7c5d · outbound

This paper cites Proceedings of the IEEE Computer Society Symposium on Research in Security and Privacy p 38 – 49.

Signal-Based Malware Classification Using 1D CNNs Proceedings of the IEEE Computer Society Symposium on Research in Security and Privacy p 38 – 49

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:32:59.726918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:53.415313Z digest=sha256:add8795a80e013c08b1c9058ed566e2ebd705664304ec934d6479845dc46c4c2

Observation 1d831007-ff07-4b04-99e1-38af16e1ec33 · outbound

This paper cites IEEE Access 10:103121–103135.

Signal-Based Malware Classification Using 1D CNNs IEEE Access 10:103121–103135

Reference 60

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-04T23:32:55.339001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:53.563213Z digest=sha256:d65afda8ea628ae94d1d456513ef34fbd2392c5f7a52175719b2b0d32921b7f4

Observation 46a4385a-3f9c-45da-aa85-691c01b05884 · outbound

This paper cites In: 29th USENIX Security Symposium (USENIX Security 20).

Signal-Based Malware Classification Using 1D CNNs In: 29th USENIX Security Symposium (USENIX Security 20)

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:32:59.713625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:53.613680Z digest=sha256:0628f1aedccbf394ee0a5a1227ff6bea18303d5cf3b261d0833dad3c097a4cb8

Observation a996aac8-4bf9-4c6c-80e7-e794f440aeda · outbound

This paper cites Computer Modeling in Engineering & Sciences 130:1003--1016.

Signal-Based Malware Classification Using 1D CNNs Computer Modeling in Engineering & Sciences 130:1003--1016

Reference 62

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-04T23:32:55.175089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:53.681568Z digest=sha256:cffdb93b077a3229fdc21c3d08ca8674fdb68ebe465c1006d7469ece03082f79

Observation 2edf29d8-f9ba-475b-bc73-59d4f8393712 · outbound

This paper cites Security and Communication Networks 2022:2957203.

Signal-Based Malware Classification Using 1D CNNs Security and Communication Networks 2022:2957203

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-04T23:32:53.752503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:32:53.752503Z digest=sha256:7d27db125127f5d7d05e5ae6121bd78ce3893058c74b34e7bda0d29c594199f2

Observation a445fd23-52be-466f-9808-ca0ce6783941 · outbound

This paper cites International Journal of Information Security 22(6):1687--1712.

Signal-Based Malware Classification Using 1D CNNs International Journal of Information Security 22(6):1687--1712

Reference 64

Resolution
verified exact
doi, observed 2026-08-04T23:32:53.951412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-04T23:32:53.821278Z digest=sha256:847e0799c5e3b4fa456adf9111f63549a945b71c2da1856986ba7c9f22145f79

Pith citing papers

No inbound Pith citation observations are available.