{"as_of":"2026-08-14T06:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f607e521e3ebe9d129c6e3d9b414c0be67cf83d9d6b4f873e0726472cbc6b596","coverage":[{"denominator":21,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:35:02.858857Z","state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:50:16.774952Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T11:50:17.018938Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"cited_work":{"arxiv_id":"2505.24231","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.24231","snapshot_observed_at":"2026-08-07T11:50:17.018938Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","venue":"cs.LG","work_id":"37c142b2-1f8a-4119-b0ee-e27f3b87b32b","year":2025},"citing_paper":{"arxiv_id":"2506.01412","last_updated":"2025-06-02T08:11:27Z","snapshot_observed_at":"2026-08-07T11:41:14.662597Z","submitted_at":"2025-06-02T08:11:27Z","title":"System Calls for Malware Detection and Classification: Methodologies and Applications","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T11:50:16.774952Z"},"links":{"cited_paper":"/paper/2505.24231","citing_paper":"/paper/2506.01412"},"observation_digest":"sha256:cbded53dcdd906062aa30780d44c03f5039bbb7c18fd7c678993c0ae09d8324c","observation_id":"cdce6cf0-4ef1-4c41-9832-4e7989402d00","resolution":{"observed_at":"2026-08-07T11:50:17.087064Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.24231/citation-record","integrity":"/paper/2505.24231/integrity","json":"/paper/2505.24231/citation-record.json","paper":"/paper/2505.24231"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:06.798242Z","title":"Global Cybersecurity Outlook 2025","venue":null,"work_id":"248a0f92-989a-4a27-8c63-c9c29b159131","year":2025},"citing_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:00.720353Z"},"links":{"citing_paper":"/paper/2505.24231"},"observation_digest":"sha256:bf279814a5965815ddcf5a2b90b9925ccfa85f4900ddc21338f3b9219067a65f","observation_id":"f83f394c-e048-4fea-b24a-dd16aa9efe99","resolution":{"observed_at":"2026-08-07T12:35:06.857969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:06.583722Z","title":"”CNN-Based Malware Family Classification and Evaluation","venue":null,"work_id":"8e4a7cfe-df6c-4884-8f24-27da28c05bd2","year":2024},"citing_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:00.813070Z"},"links":{"citing_paper":"/paper/2505.24231"},"observation_digest":"sha256:7af3b2c5daf80afa42b2048dfbb262c82bc21e38caba8c371405aeb7700acd3e","observation_id":"e3b29eab-97af-4747-8882-82340a21fd85","resolution":{"observed_at":"2026-08-07T12:35:06.667264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"3062.2024","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:05.161550Z","title":"”Enhancing Malware Classification Through Dynamic Behavioral Anal- ysis, SIEM Integration, and Deep Learning","venue":null,"work_id":"df1213cd-7cae-4502-88c3-0c18a5b9f434","year":2024},"citing_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:01.041434Z"},"links":{"citing_paper":"/paper/2505.24231"},"observation_digest":"sha256:e09fc7aeb9b68abd9da8da7bd50b6abdac029dfe4610c8e0d9277977672d468e","observation_id":"e1f79b7c-fa13-4ea4-a856-04c83dc4c3e7","resolution":{"observed_at":"2026-08-07T12:35:05.221649Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"5039.2024","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:04.921706Z","title":"”Visual Malware Classification Using a CNN.” In 2024 IEEE MIT Undergraduate Research Technology Conference (URTC) , pp","venue":null,"work_id":"bc29f182-e989-4635-a8a8-76d72aa63467","year":2024},"citing_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:01.139212Z"},"links":{"citing_paper":"/paper/2505.24231"},"observation_digest":"sha256:914408c926d41d0aa5510f1d9dd5e3ecdb951cf06af49b1a3d93b836df8c0aa3","observation_id":"8639a42d-1aa7-4433-9fc6-b01bf93d06f5","resolution":{"observed_at":"2026-08-07T12:35:04.992896Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:01.246215Z","title":"Shanmuganathan","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:01.246215Z"},"links":{"citing_paper":"/paper/2505.24231"},"observation_digest":"sha256:24324c79a7ed3961f83d2b9f3c46c6ba9c99cd198859eb3a76116672d18d294a","observation_id":"2c4690ed-1757-4c16-a3d0-afae317240b1","resolution":{"observed_at":"2026-08-07T12:35:01.246215Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:01.430653Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:01.430653Z"},"links":{"citing_paper":"/paper/2505.24231"},"observation_digest":"sha256:a17c04e6e64e16ce73f6fe89b5f81208e25cdcc81e828ce75adba2fc22a8b658","observation_id":"17bc1493-7f85-4561-84a1-bba10bb711d4","resolution":{"observed_at":"2026-08-07T12:35:01.430653Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:06.375247Z","title":"”MVC-RSN: A Malware Classification Method With Variant Identification Ability","venue":null,"work_id":"ecbfb90b-8122-4cea-b1c2-866a3cb35367","year":null},"citing_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:01.544043Z"},"links":{"citing_paper":"/paper/2505.24231"},"observation_digest":"sha256:dda3592bae36ae1fea2e40fb41b7a4a75ca0f3490c38bf6b1e653637f33cef68","observation_id":"3ee46479-aef6-4e7c-92fd-66bcfbd848f3","resolution":{"observed_at":"2026-08-07T12:35:06.495374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:06.188304Z","title":"”IoT Malware Classification Based on Lightweight Convolutional Neural Net- works","venue":null,"work_id":"aaa6a3c1-e946-4cf7-85a9-b8d8e947361a","year":null},"citing_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:01.793442Z"},"links":{"citing_paper":"/paper/2505.24231"},"observation_digest":"sha256:ca0957b2447313a49e49b494bb4678f79df59902d12ccf709c4d82889f9c8534","observation_id":"44ea833a-e798-4c99-92b5-2ab166956c8a","resolution":{"observed_at":"2026-08-07T12:35:06.279074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:01.639396Z","title":"Available: https://doi.org/10.1109/JIOT.2024.3436903","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:01.639396Z"},"links":{"citing_paper":"/paper/2505.24231"},"observation_digest":"sha256:80686a9c4d2cd3ff05ee7c47a984a7b841dcc7edb143dd0cc4fcbb1d1ad0c0b9","observation_id":"5991d8f6-9c24-42b6-a6a4-fbcfba7e7f89","resolution":{"observed_at":"2026-08-07T12:35:01.639396Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.10933","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:04.016260Z","title":"” Mal Class: A Deep Learning Approach for Automatic Classi- fication of Malware Images.” In 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL) , pp","venue":null,"work_id":"57f075b3-9e5c-4e65-b325-bc3b55fe49a2","year":2025},"citing_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:02.029291Z"},"links":{"citing_paper":"/paper/2505.24231"},"observation_digest":"sha256:603e0bb823f65e697d27aeceedb4386c4490a188c61db02413c27a2775393b13","observation_id":"c231f37f-bdf0-44ba-9f25-fcae66df0947","resolution":{"observed_at":"2026-08-07T12:35:04.063335Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:02.154984Z","title":"”Comparative Analysis of Federated Learning, Deep Learning, and Traditional Machine Learning Techniques for IoT Malware Detection","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:02.154984Z"},"links":{"citing_paper":"/paper/2505.24231"},"observation_digest":"sha256:ad936b97dcf2b92eab426adb0d1bcf680431d9a695d827aa23e52ead9c357186","observation_id":"48304a8a-b5c4-461f-bb4b-f877b6395081","resolution":{"observed_at":"2026-08-07T12:35:02.154984Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:01.916496Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:01.916496Z"},"links":{"citing_paper":"/paper/2505.24231"},"observation_digest":"sha256:95ec5318c70021162fcae3521f90525b655b13ed14691eb4aede721d47d23285","observation_id":"b79cf909-77da-4060-8f95-024c480c2ad4","resolution":{"observed_at":"2026-08-07T12:35:01.916496Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.10725","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:03.667926Z","title":"”A Deep Learning Framework for Malware Classification using NLP Techniques","venue":null,"work_id":"493b2a7e-4eb7-4c7f-a691-57d9da3fc25c","year":2024},"citing_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:02.331941Z"},"links":{"citing_paper":"/paper/2505.24231"},"observation_digest":"sha256:d560b3f95acb71c9fdd262abd7756e8300f400dd0bb955a6b5da4deb8c5e2cb1","observation_id":"3c2da3f4-b90d-4456-a9ef-dd05381b0158","resolution":{"observed_at":"2026-08-07T12:35:03.756634Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:02.427656Z","title":"”Enhancing Malware Classification with Machine Learning: A Comparative Analysis of API Sequence-Based Techniques","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:02.427656Z"},"links":{"citing_paper":"/paper/2505.24231"},"observation_digest":"sha256:e1e4e78ea60f23e09055ac93ba87d00ad32a8b4092af805ad8bbdc6117e6074a","observation_id":"b35506f3-6e10-4d52-a74b-ec5b6ab5b057","resolution":{"observed_at":"2026-08-07T12:35:02.427656Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:06.050696Z","title":"Manjunath","venue":null,"work_id":"f30a3bbb-efa2-4458-a4da-b3f57b3192fa","year":2011},"citing_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:02.265307Z"},"links":{"citing_paper":"/paper/2505.24231"},"observation_digest":"sha256:1470155610c18c2f164dc13cf7c2f40886e6fe54e1646af5d273c2a98c81df0e","observation_id":"8453f1ae-18bd-4ed4-bcf6-df0b73e8180f","resolution":{"observed_at":"2026-08-07T12:35:06.116016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:05.845668Z","title":"VirusShare Malware Repository","venue":null,"work_id":"308fea6c-a16b-4659-b3fc-90d39f216a1e","year":2025},"citing_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:02.608809Z"},"links":{"citing_paper":"/paper/2505.24231"},"observation_digest":"sha256:dad274e81e1fd2d33f9198da8a382d993bd11c9ccf7eac198ab3fe97c568f32c","observation_id":"3a908e2a-0683-4bc5-ba28-24a999fb62f2","resolution":{"observed_at":"2026-08-07T12:35:05.952069Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:05.649076Z","title":"Automated Malware Analysis","venue":null,"work_id":"0eebcda2-71ba-484b-a0c4-b579f94e046d","year":2025},"citing_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:02.696759Z"},"links":{"citing_paper":"/paper/2505.24231"},"observation_digest":"sha256:327a4d5f05dbabfccf750d57d5f850c7da360df9d99341d3ec7ef3d08fa479a0","observation_id":"5babf3c9-7e7e-462c-a161-696eb77c2609","resolution":{"observed_at":"2026-08-07T12:35:05.737428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2022.00072","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:03.336157Z","title":"”Family Classification of Malicious Applications using Hybrid Analysis and Computationally Economical Machine Learning Techniques","venue":null,"work_id":"a9676430-e8b9-4305-907a-0ce9e63ec187","year":2022},"citing_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:02.531566Z"},"links":{"citing_paper":"/paper/2505.24231"},"observation_digest":"sha256:a89bcab2be244427e95713e886ef0d837f5a09810bdbcf8da59585edb471f890","observation_id":"4aaa4bf9-c676-4f35-b17c-58314e029ba9","resolution":{"observed_at":"2026-08-07T12:35:03.407608Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"dsv/1141254","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:03.103953Z","title":"Available at: https://doi.org/10","venue":null,"work_id":"22651a7d-85d9-41ba-9799-442d47b993d5","year":2025},"citing_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:02.858857Z"},"links":{"citing_paper":"/paper/2505.24231"},"observation_digest":"sha256:10001341d1c32535f54bf686eeb6aeb4c901e1f6f581d6e35afd82434d34cecc","observation_id":"cd6db2f2-7739-4de0-90e0-1be1d8587d53","resolution":{"observed_at":"2026-08-07T12:35:03.172703Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2021.31000","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:04.304718Z","title":"Available: https://doi.org/10.1109/JIOT.2021.3100063","venue":null,"work_id":"2a7c06a2-c0c6-41eb-be38-b871e68fcc3b","year":2021},"citing_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:01.855964Z"},"links":{"citing_paper":"/paper/2505.24231"},"observation_digest":"sha256:2acdabb9f9ef6b7be3d3664a956e57149dba33887eed89b63b74891ba6e094af","observation_id":"f2fb6024-d249-4280-920a-4d7003753c4b","resolution":{"observed_at":"2026-08-07T12:35:04.358572Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"8856.2024","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:05.424810Z","title":"Available: https://doi.org/10.1109/ICEENG58856.2024","venue":null,"work_id":"cfda131b-c543-4018-8992-e063e43f190a","year":2024},"citing_paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:00.924470Z"},"links":{"citing_paper":"/paper/2505.24231"},"observation_digest":"sha256:59c4ab0c581c801e9dfa164346bcd3a1b9c5c9791792a0771a626205138e923a","observation_id":"4b6c368d-0632-46b2-8c05-87b86b954136","resolution":{"observed_at":"2026-08-07T12:35:05.495179Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.24231","last_updated":"2025-05-30T05:48:10Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-11T15:15:13.571954Z","submitted_at":"2025-05-30T05:48:10Z","title":"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion"},"reference_resolution":{"displayed":21,"state_counts":{"malformed_identifier":2,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":6,"verified_exact":3,"verified_fuzzy":7},"total_outbound_references":21},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2505.24231."}