{"as_of":"2026-08-07T22:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8cb7449e513b6f1fa36b419198b43b4901e39efa07c749ce32b3b74b05c7a5e6","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":"2026-08-07T14:30:11.083809Z","state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.18806/citation-record","integrity":"/paper/2505.18806/integrity","json":"/paper/2505.18806/citation-record.json","paper":"/paper/2505.18806"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:30:13.975250Z","title":"Ray, Cybersecurity for Connected Medical Devices","venue":null,"work_id":"f0129c8a-d416-4e5c-af01-2f28d7620e17","year":2022},"citing_paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:09.587364Z"},"links":{"citing_paper":"/paper/2505.18806"},"observation_digest":"sha256:aee4e44c9ad281e3f3880e0db9052cb044818286ec2018fd887ed972d4c09565","observation_id":"a112962a-8e7c-4c6f-b045-3c20efba9f63","resolution":{"observed_at":"2026-08-07T14:30:14.044781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:30:13.805245Z","title":"The pipeline process of signature-based and behavior-based malware detection,","venue":null,"work_id":"697f48b7-a922-40f5-940c-7abb1ebe8004","year":2020},"citing_paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:09.644852Z"},"links":{"citing_paper":"/paper/2505.18806"},"observation_digest":"sha256:7a89a19cd9c5b79f07df828b73a4998b567967248ebf9baa9f87a1f3517c24dd","observation_id":"27d3f2ba-10d9-45f6-9579-4020da430686","resolution":{"observed_at":"2026-08-07T14:30:13.873596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:30:13.630309Z","title":null,"venue":null,"work_id":"8ba39a26-955d-4430-806f-4ade3d890595","year":1997},"citing_paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:09.756048Z"},"links":{"citing_paper":"/paper/2505.18806"},"observation_digest":"sha256:2588a2eabc52d791b8871faca37f938728d59e210aac793dedb72896c52b21f2","observation_id":"c9cace27-da0c-42ea-8cfb-152abaecd46c","resolution":{"observed_at":"2026-08-07T14:30:13.683230Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.12310","last_updated":"2023-02-17T02:43:36Z","snapshot_observed_at":"2026-07-06T12:21:45.521326Z","submitted_at":"2021-12-23T02:12:43Z","title":"Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.12310","snapshot_observed_at":"2026-08-07T14:30:09.830867Z","title":"Adversarial attacks against windows pe malware detection: A survey of the state-of-the-art,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:09.830867Z"},"links":{"cited_paper":"/paper/2112.12310","citing_paper":"/paper/2505.18806"},"observation_digest":"sha256:0bdfe36dcb12b10af1a465f48eb8bc855abc1bba0130d3ad5da6730984a560e0","observation_id":"784504ef-0718-4e4b-b8db-06f0ae7ef58b","resolution":{"observed_at":"2026-08-07T14:30:09.830867Z","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":"2026-08-07T14:30:13.484251Z","title":"Generative adversarial nets,","venue":null,"work_id":"791eceb3-4697-4576-92dc-472bce577af0","year":2014},"citing_paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:09.907210Z"},"links":{"citing_paper":"/paper/2505.18806"},"observation_digest":"sha256:a4f5b24dc1dd39da82afb34281c8f18279021f33ce9ad52d3959f0f1a341c8a3","observation_id":"26e5110e-46b9-4238-9efe-87439e89cbe2","resolution":{"observed_at":"2026-08-07T14:30:13.544414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02621","last_updated":"2023-03-21T14:10:36Z","snapshot_observed_at":"2026-07-06T08:35:15.491391Z","submitted_at":"2019-11-06T20:29:56Z","title":"The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02621","snapshot_observed_at":"2026-08-07T14:30:09.990431Z","title":"The threat of adversarial attacks against machine learn- ing,","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:09.990431Z"},"links":{"cited_paper":"/paper/1911.02621","citing_paper":"/paper/2505.18806"},"observation_digest":"sha256:a8ba27e4b2ab5d54fd860092f5abeb617085a0b9b81f56d99e3f605c26c97eae","observation_id":"21b1f8f9-b91f-4db4-8fb8-a228c1c84105","resolution":{"observed_at":"2026-08-07T14:30:09.990431Z","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":"2026-08-07T14:30:13.284351Z","title":"Generating adversarial malware examples for black-box attacks based on gan,","venue":null,"work_id":"5aaf09ae-c2d4-4e52-ba30-e84a5bd24cb3","year":2022},"citing_paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:10.091872Z"},"links":{"citing_paper":"/paper/2505.18806"},"observation_digest":"sha256:27ebf56b9202c864a710df90c8513c8733eaccfee7419a2ae7eb531062c6a887","observation_id":"17b269fa-71cf-46e9-8739-2bc0fdf40756","resolution":{"observed_at":"2026-08-07T14:30:13.353424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:30:13.151836Z","title":"Mal- lsgan: An effective adversarial malware example generation model,","venue":null,"work_id":"cebc85c5-93a4-4f86-aa5a-c4257a53db60","year":2021},"citing_paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:10.208959Z"},"links":{"citing_paper":"/paper/2505.18806"},"observation_digest":"sha256:37b5139e0ec9a796d7762b6949a30214f0eec52e10755c5b3c257f024d0fe6ad","observation_id":"32e5edc1-30c6-46c7-abbd-c40373579b8b","resolution":{"observed_at":"2026-08-07T14:30:13.213969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1186/s42400-021-00102-9","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:30:11.185909Z","title":"LSGAN- AT: enhancing malware detector robustness against adversarial examples,","venue":null,"work_id":"6a53023b-f98f-428d-b41d-a16e1c20ccbb","year":2021},"citing_paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:10.255386Z"},"links":{"citing_paper":"/paper/2505.18806"},"observation_digest":"sha256:270dc2d0157121bb4b47a362c9803aa9021e467e4e0765cf24e4654b80fe073e","observation_id":"4de19580-001c-4411-a62f-e6ae80362750","resolution":{"observed_at":"2026-08-07T14:30:11.261073Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:30:13.006535Z","title":"Least squares generative adversarial networks,","venue":null,"work_id":"b78c66c1-2ebd-46ad-a6ed-8f1955eb5a42","year":2017},"citing_paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:10.306785Z"},"links":{"citing_paper":"/paper/2505.18806"},"observation_digest":"sha256:f958d318268176663d25a43d137e776f407e04beb47b4c7e782eced9353a2abd","observation_id":"0100cf1c-0fe1-43c9-8927-90fb3f83a320","resolution":{"observed_at":"2026-08-07T14:30:13.066635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:30:12.882216Z","title":"Aagan: Android malware generation system based on generative adversarial network,","venue":null,"work_id":"16fb5bca-94e2-407b-a946-9ca1e0576b72","year":2024},"citing_paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:10.356840Z"},"links":{"citing_paper":"/paper/2505.18806"},"observation_digest":"sha256:cc7c7dfceea9218af8a160da3cdfba7b9c4721ee2463e200c6f34eaa3df3c79e","observation_id":"3d378e82-f2d8-4418-be3d-43ee8c442dd2","resolution":{"observed_at":"2026-08-07T14:30:12.948156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1710.07035","last_updated":"2017-10-19T08:29:50Z","snapshot_observed_at":"2026-07-06T06:04:59.281393Z","submitted_at":"2017-10-19T08:29:50Z","title":"Generative Adversarial Networks: An Overview","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.07035","snapshot_observed_at":"2026-08-07T14:30:10.420988Z","title":"Generative adversarial networks: An overview,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:10.420988Z"},"links":{"cited_paper":"/paper/1710.07035","citing_paper":"/paper/2505.18806"},"observation_digest":"sha256:08969b7c0af342601951210a899c5d54d433c4ccae8952d332164e5bf7aed70a","observation_id":"887f2fb6-7a9a-4b53-a803-1030f0cc068a","resolution":{"observed_at":"2026-08-07T14:30:10.420988Z","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":"2026-08-07T14:30:12.689740Z","title":"Adversarial attacks on mobile malware detec- tion,","venue":null,"work_id":"50c926e4-fe30-4560-86f3-828d9250859f","year":2019},"citing_paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:10.486519Z"},"links":{"citing_paper":"/paper/2505.18806"},"observation_digest":"sha256:1ac09344dfd9a8542c6a59be9e2ec6e97b88e800028f6e5d811a016f69644ae8","observation_id":"0b0714ab-9bc5-4f1f-a9e3-fd19e76bddbd","resolution":{"observed_at":"2026-08-07T14:30:12.783280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:30:12.546481Z","title":"Unsupervised representation learning with deep con- volutional generative adversarial networks,","venue":null,"work_id":"44c6545e-8a4a-41c3-8441-b67d752e2a65","year":2015},"citing_paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:10.571348Z"},"links":{"citing_paper":"/paper/2505.18806"},"observation_digest":"sha256:d665c0c5086f08db79813f2c303efacb5436bb1ea391ee3ee664ac563232d453","observation_id":"436c0b7e-722b-426c-8f4d-09cba46a5baa","resolution":{"observed_at":"2026-08-07T14:30:12.610250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:30:12.375064Z","title":"Virusshare.com - because sharing is caring,","venue":null,"work_id":"dfc76bc8-7b73-41cc-bf95-1e26be036a4b","year":2024},"citing_paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:10.646968Z"},"links":{"citing_paper":"/paper/2505.18806"},"observation_digest":"sha256:0f34097fdd412aeb68546aac2d3cfa542bb10847144834adf778898f01598f78","observation_id":"61f095a4-a3ff-4ba9-a84e-d04917b21fac","resolution":{"observed_at":"2026-08-07T14:30:12.449226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:30:12.214063Z","title":"Cuckoo sandbox - automated malware analysis,","venue":null,"work_id":"1ca9f654-ccec-48ce-99e2-a5f7cf272a5e","year":2024},"citing_paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:10.726713Z"},"links":{"citing_paper":"/paper/2505.18806"},"observation_digest":"sha256:896b6eaa69403a60d0b34db34581fef71724417afe4237ccd73fad2cc6e0d54f","observation_id":"3ec65ae5-4534-4166-bbae-dfebe33414e3","resolution":{"observed_at":"2026-08-07T14:30:12.281444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:30:12.028387Z","title":"Anaconda,","venue":null,"work_id":"913dfb2f-2c50-46f2-982e-d35bfb564438","year":null},"citing_paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:10.793903Z"},"links":{"citing_paper":"/paper/2505.18806"},"observation_digest":"sha256:8a9ef7a4ccfbf0d7a1830568dbcdabfa4d2453cc4bbeaadf31c20eb775982082","observation_id":"6081eb2a-ab76-4901-926d-d960a600577e","resolution":{"observed_at":"2026-08-07T14:30:12.107749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:30:11.876423Z","title":"Foster, Generative Deep Learning","venue":null,"work_id":"bfff7330-f7af-4d23-a6da-e5a23925c185","year":2019},"citing_paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:10.861331Z"},"links":{"citing_paper":"/paper/2505.18806"},"observation_digest":"sha256:57599790a7d1e15488fd4885cd84ad77f77fe18ef505c7ad6e129e2182184197","observation_id":"2c051029-5f4b-4157-b81b-75016a00cfba","resolution":{"observed_at":"2026-08-07T14:30:11.942817Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.08558","last_updated":"2023-02-24T19:53:05Z","snapshot_observed_at":"2026-07-06T14:52:42.809602Z","submitted_at":"2023-02-16T20:07:19Z","title":"Generative Adversarial Networks for Malware Detection: a Survey","version":2},"cited_work":{"arxiv_id":"2302.08558","doi":null,"metadata_source":"pith","pith_arxiv_id":"2302.08558","snapshot_observed_at":"2026-08-07T14:30:11.374097Z","title":"Generative Adversarial Networks for Malware Detection: a Survey","venue":"cs.CR","work_id":"553c00f1-787b-4912-87c5-b7bf605b2c28","year":2023},"citing_paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:10.915899Z"},"links":{"cited_paper":"/paper/2302.08558","citing_paper":"/paper/2505.18806"},"observation_digest":"sha256:7b245e755eec2bc49b43b01b69924a722b90d98c970b6889f5916607dba30a4d","observation_id":"546d1fa2-505e-45b0-aefb-c735ab8cc9c7","resolution":{"observed_at":"2026-08-07T14:30:11.433545Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:30:11.714529Z","title":"Alazab, Deep Learning Applications for Cyber Security","venue":null,"work_id":"b6a45942-04b0-44c1-b80b-edf1c28459e9","year":2019},"citing_paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:11.007596Z"},"links":{"citing_paper":"/paper/2505.18806"},"observation_digest":"sha256:8de11bbeb3b52093ffcc254ac8869557cb37650b0dd6db93926cc001a011a82c","observation_id":"bbcc6cc2-60e8-4c0b-8779-b1b5eaf86687","resolution":{"observed_at":"2026-08-07T14:30:11.781532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:30:11.551591Z","title":null,"venue":null,"work_id":"26616791-b919-4bab-8184-6cc7be65a596","year":2023},"citing_paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:11.083809Z"},"links":{"citing_paper":"/paper/2505.18806"},"observation_digest":"sha256:c2d93fd5eecfc4f911d5f7547b50c5f8681082dd4dffc952db7c439b044b38c7","observation_id":"6660daaa-e677-4074-b953-7805d82bddc0","resolution":{"observed_at":"2026-08-07T14:30:11.620918Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.18806","last_updated":"2025-05-24T17:38:28Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-07T14:23:04.542020Z","submitted_at":"2025-05-24T17:38:28Z","title":"Mal-D2GAN: Double-Detector based GAN for Malware Generation"},"reference_resolution":{"displayed":21,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":2,"verified_fuzzy":14},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2505.18806."}