{"as_of":"2026-08-20T00:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e209182bdc4ed332511a68a9f9e47d11e971c494db259f075432f96c70177a04","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T11:13:40.943669Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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":"2026-08-05T15:52:55.542569Z","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":"2026-08-05T15:52:55.893195Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"cited_work":{"arxiv_id":"2412.16264","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.16264","snapshot_observed_at":"2026-08-05T15:52:55.893195Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","venue":"cs.CR","work_id":"988f44b6-e373-427d-a6c4-9dcb47112b78","year":2024},"citing_paper":{"arxiv_id":"2508.19450","last_updated":"2025-08-26T21:55:26Z","snapshot_observed_at":"2026-08-16T21:59:10.456109Z","submitted_at":"2025-08-26T21:55:26Z","title":"CITADEL: Continual Anomaly Detection for Enhanced Learning in IoT Intrusion Detection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T15:52:55.542569Z"},"links":{"cited_paper":"/paper/2412.16264","citing_paper":"/paper/2508.19450"},"observation_digest":"sha256:60eac06a174bd25b9860cd99218801c859c2182cc71c4a9c0f9249846bf1650b","observation_id":"f4937714-b6eb-4417-8439-d6565d38f220","resolution":{"observed_at":"2026-08-05T15:52:55.897619Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.16264/citation-record","integrity":"/paper/2412.16264/integrity","json":"/paper/2412.16264/citation-record.json","paper":"/paper/2412.16264"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:13:41.650168Z","title":"Anomaly-based network intrusion detection: Techniques, systems and challenges,","venue":null,"work_id":"501eac14-797c-429e-a8dc-0f374f173f8c","year":2009},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.741146Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:2013f2f69e235a10da02db36a035fb8136bf2f3f1a41735b4011ba061e02c298","observation_id":"3b2496dc-e6d2-484a-93b6-7d7d0d860d85","resolution":{"observed_at":"2026-08-11T11:13:41.657913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:41.629934Z","title":"Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study,","venue":null,"work_id":"add952b7-bc89-4a22-8456-159075799126","year":2020},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.747668Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:b2fdd043199c423839e9d3137ec37afb8b464c6c69ffe0b69583f3b43103fdda","observation_id":"e612b2c6-3137-46df-9642-c664c6d622a1","resolution":{"observed_at":"2026-08-11T11:13:41.635938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:41.609703Z","title":"Anomaly detection using isomorphic analysis for false data injection attacks in industrial control systems,","venue":null,"work_id":"7e58a85b-aa94-4bcc-a2af-6a0c0417baed","year":2024},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.754743Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:818f546c786e102a3c3f106f469e1343c4e3bee0084a338e8400ad17ef617198","observation_id":"7f970799-1a52-4c60-b7df-af3aedcac1d1","resolution":{"observed_at":"2026-08-11T11:13:41.617240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:41.589688Z","title":"A critical review of intrusion detection systems in the internet of things: techniques, deployment strategy, vali- dation strategy, attacks, public datasets and challenges,","venue":null,"work_id":"2b0b2732-274a-48ca-9212-45b9cbedfb87","year":2021},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.760932Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:6661772aa89acbde1ca59235c1fea1b3bfcf1412f7deb0f27f3cd91669e23160","observation_id":"728cc967-066d-4bab-8229-c9a7752984a3","resolution":{"observed_at":"2026-08-11T11:13:41.595318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:41.569724Z","title":"Sarad: Spatial association- aware anomaly detection and diagnosis for multivariate time series,","venue":null,"work_id":"1e382ce7-e1f3-488e-afaa-e118e55d8644","year":2024},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.766038Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:df00bb641ab52dde3038f43290bbe6a1539419635bd66b0da2c95668a523fa8a","observation_id":"cd47d9e4-c572-43cb-9a31-78840845c6e9","resolution":{"observed_at":"2026-08-11T11:13:41.576175Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:41.550390Z","title":"Skip-patching spatial–temporal discrepancy-based anomaly detection on multivariate time series,","venue":null,"work_id":"0dee5eef-d04d-4b94-add1-c1fbbe01535b","year":2024},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.771596Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:6422041ff46b308eb5102a9e74e3b1bec2955b647f31e25d7eb65abb4e3e8f10","observation_id":"f385a60a-67f8-4f94-a57d-80ed817282d7","resolution":{"observed_at":"2026-08-11T11:13:41.557065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:41.530511Z","title":"Radio2text: Streaming speech recognition using mmwave radio signals,","venue":null,"work_id":"67f266bf-74d8-4125-b421-03b32bbfd69c","year":2023},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.778103Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:593122e09ac193531702dbdd12e7d068ee2853e5d909c68e03a83d0b75e23c01","observation_id":"64abd7f2-4021-47c9-905d-311af2d82a63","resolution":{"observed_at":"2026-08-11T11:13:41.536904Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:41.508647Z","title":"Radio2speech: High quality speech recovery from radio frequency signals,","venue":null,"work_id":"4fd62043-5926-4c45-9617-e599b81e02c3","year":2022},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.783273Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:04fc219e3a762fdebdc16a45f1c2659d2d60564d59cbedc575cf9c06370c1ef3","observation_id":"4db1fd71-c17f-4506-ba6d-fe40da0b4af2","resolution":{"observed_at":"2026-08-11T11:13:41.514013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:40.789367Z","title":"A comprehensive review study of cyber-attacks and cyber security; emerging trends and recent developments,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.789367Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:5f4a63333cb673e650f2dbb21f21855db6706c2430ef061d772e1e0adb93f02c","observation_id":"d3e61fd4-67a4-45e5-8fe8-2ba5ae14803d","resolution":{"observed_at":"2026-08-11T11:13:40.789367Z","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":"2026-08-11T11:13:41.479278Z","title":"Aoc-ids: Autonomous online framework with contrastive learning for intrusion detection,","venue":null,"work_id":"02bc280a-b4d7-4fa5-a66b-247cf5e3190b","year":2024},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.796337Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:3d5cf7dbfd611eb86837d2da4d1f2619c56271ef85bcfaa349f747ef3b581e7d","observation_id":"11485881-ed2d-4abe-996c-32aed716c510","resolution":{"observed_at":"2026-08-11T11:13:41.486702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:41.462613Z","title":"A survey on concept drift adaptation,","venue":null,"work_id":"68d4b2d3-e28b-44de-90c5-4e9dcea73056","year":2014},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.802615Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:8eca3369fc8f8af09a03a549a164f56cbfe12a3f95910c1c840d82336d8a41c9","observation_id":"1e48730d-cd2f-4032-832f-a137a658f324","resolution":{"observed_at":"2026-08-11T11:13:41.467854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:41.447523Z","title":"Anomaly detection in the open world: Normality shift detection, explanation, and adaptation,","venue":null,"work_id":"b2d109c2-c331-44e2-b8e5-7e668cbdd8ad","year":2023},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.807840Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:d9ef81271de50212d164006eba329ced8cd34b0f5b4496831b1c56a761b280ba","observation_id":"4fbd6c2e-2db9-4831-9658-e4913ff58511","resolution":{"observed_at":"2026-08-11T11:13:41.452551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:41.426843Z","title":"Feco: Boosting intrusion detection capability in iot networks via contrastive learning,","venue":null,"work_id":"b1d85fb8-66c4-405f-8ab7-dd12dc33d944","year":2022},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.813490Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:fe309e0fa9ec712b3cb73e4c649059f44dd2db6f7e42588dfb23233a2f117bcc","observation_id":"10f2db89-fff3-4e24-8350-831be93a9f12","resolution":{"observed_at":"2026-08-11T11:13:41.432423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:40.819075Z","title":"Contrastive learning enhanced intrusion detection,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.819075Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:6db1108029567548b98ded16f35c5b88516365ac1ad43671053b7cae90efec87","observation_id":"e21cec37-36bb-4c60-8c1f-5278bf36e1df","resolution":{"observed_at":"2026-08-11T11:13:40.819075Z","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":"2026-08-11T11:13:41.397220Z","title":"Distributed online anomaly detection for virtualized network slicing environment,","venue":null,"work_id":"c23b96f8-4767-44a7-8c27-e846aed6c832","year":2022},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.825004Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:8c7cafa158e340d19e0804fc187376ec5a6924d068b6d41b72759f4af6081c08","observation_id":"cd9a6412-5902-49bf-9407-c6e068fe35b5","resolution":{"observed_at":"2026-08-11T11:13:41.401825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:41.381478Z","title":"Tesseract: Eliminating experimental bias in malware classification across space and time,","venue":null,"work_id":"f96a6286-4d63-487e-906f-3bf085f348c7","year":2019},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.830767Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:50284636e1695433503a621cefc4ad448486cbf4b2d4bbb019e5e4a18b4fa9b3","observation_id":"f2c563de-5585-4286-8a3c-b14a1104d410","resolution":{"observed_at":"2026-08-11T11:13:41.386568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:41.364909Z","title":"Throwing darts in the dark? detecting bots with limited data using neural data augmentation,","venue":null,"work_id":"8e0dc3e8-6c85-4a68-a74b-fa20f241a2bd","year":2020},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.835617Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:79ae4c893e7600007cdea847af85518559432792fe922ecfe71aa7f4c8409b33","observation_id":"4155b33a-191e-4e88-bc3f-15305ccd4837","resolution":{"observed_at":"2026-08-11T11:13:41.369779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.08671","last_updated":"2019-10-31T14:45:47Z","snapshot_observed_at":"2026-08-16T21:57:29.001573Z","submitted_at":"2019-03-20T18:01:55Z","title":"Gradient based sample selection for online continual learning","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.08671","snapshot_observed_at":"2026-08-11T11:13:40.840772Z","title":"Online continual learning with no task boundaries,","venue":null,"work_id":null,"year":1903},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.840772Z"},"links":{"cited_paper":"/paper/1903.08671","citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:2f03f8e7ae5b32c8287f1155e02536f3b0a54eed84ce58618e6953e5d229192b","observation_id":"d035c087-7bc6-4132-93bf-bac9ab59590a","resolution":{"observed_at":"2026-08-11T11:13:40.840772Z","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":"2026-08-11T11:13:41.344866Z","title":"Continual learning with tiny episodic memories,","venue":null,"work_id":"df6de387-b98b-433d-ba57-20a16b77fe10","year":2019},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.846210Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:a0190cb88a13ec8953f11b5c068591f553fe3c61bc0d57c90e8857af259c42c5","observation_id":"569382f6-3a93-48ae-af0a-b354c0b788bd","resolution":{"observed_at":"2026-08-11T11:13:41.353383Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:40.850908Z","title":"Learning without forgetting,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.850908Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:f27ed8df96162dcbd6f1f06ef5451dfbf5ac6fb20317ff0843f2bbed035bbd1f","observation_id":"fca2df74-433e-4b81-ac74-3988161c3f3a","resolution":{"observed_at":"2026-08-11T11:13:40.850908Z","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":"2026-08-11T11:13:40.856523Z","title":"Overcoming catastrophic forgetting in neural networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.856523Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:c040082c867d02d860895464bebe875bb0ddafc620bbff61a887714e1bc93092","observation_id":"db631e83-57d4-4f15-9588-91ec08cd3687","resolution":{"observed_at":"2026-08-11T11:13:40.856523Z","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":"2026-08-11T11:13:41.284601Z","title":"Efficient lifelong learning with a-gem,","venue":null,"work_id":"274a0a0f-7928-4127-9fd1-5e07a9ca7ea4","year":2019},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.861360Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:5eb9f68d3498b7b7d158f1af41c6e9c7da103fd227d49d81b08a52bf6db20e03","observation_id":"38bbfdc1-fb8a-423d-be8a-061b42e2df3d","resolution":{"observed_at":"2026-08-11T11:13:41.292921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:41.266113Z","title":"Gradient episodic memory for continual learning,","venue":null,"work_id":"81f6302a-3e89-4da0-a5d5-244aeb102c72","year":2017},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.866999Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:ce4327fbaeadb5e3f5c289a6f728d3f46b4c319780e39c67e97c0800a7cb7da7","observation_id":"e070a9bb-42cf-4f5f-94fb-d6781e75189a","resolution":{"observed_at":"2026-08-11T11:13:41.272134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:40.872144Z","title":"Catastrophic forgetting in connectionist networks,","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.872144Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:fd36bcce241a9c0efe8ab00e074eadfeda28d8bd6239caa5210bef9baf8b5563","observation_id":"494ebfe1-924b-404b-9271-2698ba7961ee","resolution":{"observed_at":"2026-08-11T11:13:40.872144Z","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":"2026-08-11T11:13:41.234158Z","title":"Learning with recoverable forgetting,","venue":null,"work_id":"c50b544a-0133-4f42-b174-a78cd21a3d4a","year":2022},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.876371Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:cf36bfd92d41c60744a8f5d438930f74b4564a7379dadb97cf3db2e3a9ba3f82","observation_id":"f4245775-074e-4da3-8655-e7ba346069c9","resolution":{"observed_at":"2026-08-11T11:13:41.240142Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:41.215636Z","title":"Crowdpatrol: A mobile crowdsensing framework for traffic violation hotspot patrolling,","venue":null,"work_id":"ff1c8c3a-1107-4bcd-809b-f55a642aed57","year":2021},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.880220Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:4e901958b8406de089e04bb8e87124ea31e4aa0d35b7570fcd5c429c5dd5d43d","observation_id":"eb756cef-0f67-4420-8c26-45dab0cbf4f2","resolution":{"observed_at":"2026-08-11T11:13:41.220372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:41.198020Z","title":"Collaborative caching for energy optimization in content-centric internet of things,","venue":null,"work_id":"38e6178d-8dec-4a22-9e89-bba3920c2499","year":2022},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.883842Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:009f79010373acf141da1bf7f9a2e739449334f00af4f756621de1e4e3091a06","observation_id":"26074d3e-9f97-4224-aa53-d5cb7fcf9951","resolution":{"observed_at":"2026-08-11T11:13:41.203257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:40.888189Z","title":"Learning under concept drift: A review,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.888189Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:3338bc0e2d8e52aa341d5708e37164b9e59b61da6389863bfd00cc3b44a86a09","observation_id":"36ac5905-be21-4aed-9d39-82a0ffcbe20a","resolution":{"observed_at":"2026-08-11T11:13:40.888189Z","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":"2026-08-11T11:13:40.891922Z","title":"Kolmogorov–smirnov test: Overview,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.891922Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:7e19e2d151ba05e8b53598c6b8c8488413f3aef82db3197d7ed9b2f560e06cae","observation_id":"9ad420ce-75f3-40bb-a708-f878501ff08f","resolution":{"observed_at":"2026-08-11T11:13:40.891922Z","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":"2026-08-11T11:13:41.161558Z","title":"Automatic features extraction using autoencoder in intrusion detection system,","venue":null,"work_id":"5c49aa72-7326-4431-9489-53a8ec99f775","year":2018},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.896060Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:0f0c221b12642e119f32dcbe624277d017ef92506f215f82a0fa86f0fc86b9e6","observation_id":"37ff20c3-7c65-48b5-8f03-e114426646f7","resolution":{"observed_at":"2026-08-11T11:13:41.167123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:41.136280Z","title":"Tri-training algorithm based on cross entropy and k-nearest neighbors for network intrusion detection","venue":null,"work_id":"2db59709-4da2-4a83-8423-d01f20b79bcc","year":2022},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.900255Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:75afe39d35210a84219cc547da650afb3bac145a5e972ba7ea7ab669098e8c1a","observation_id":"9c3eb4b6-135f-4534-aae5-685ba054d247","resolution":{"observed_at":"2026-08-11T11:13:41.145344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:41.118666Z","title":"Application of weighted cross- entropy loss function in intrusion detection,","venue":null,"work_id":"48ab36fd-bd3a-40c7-8cf9-2ccc8fbbadab","year":2021},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.905213Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:5bc78eb6771f906757039e0b4c4383b48b4ec811315e7825cf3dbf418ba52841","observation_id":"7ce5285e-b99f-46ef-a28f-e3c7a9f5cd74","resolution":{"observed_at":"2026-08-11T11:13:41.124383Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:41.099423Z","title":"Two-tier network anomaly detection model: a machine learning approach,","venue":null,"work_id":"6e3df268-3312-4d0a-bdfa-b6b855427a2e","year":2017},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.911675Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:815470079896e67c06438d9de0679b4699c2d46221ac5a030f472d2db1eb7878","observation_id":"fbb8f171-fcdf-426c-8178-d57f64999e6e","resolution":{"observed_at":"2026-08-11T11:13:41.105855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:40.916685Z","title":"Representation learning with contrastive predictive coding,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.916685Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:35998dce5b30bee739ad7da1b49c05482ea791640949ee676c81dc0139401f7c","observation_id":"7988bf6c-dc7c-45fa-aded-ab533d395244","resolution":{"observed_at":"2026-08-11T11:13:40.916685Z","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":"2026-08-11T11:13:41.067825Z","title":"Expe- rience replay for continual learning,","venue":null,"work_id":"72844327-ec26-4011-af9f-94bc69f5b1a8","year":2019},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.924350Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:15d3caf7b665af00ddfdf2909a67ebd13bb632d35a09c2049d5791683683234d","observation_id":"647f11c7-0ebd-4a87-82bf-cd2ad9825af4","resolution":{"observed_at":"2026-08-11T11:13:41.075104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:41.044432Z","title":"Uncertainty-based continual learning with adaptive regularization,","venue":null,"work_id":"c247c9e4-77b6-4624-97b5-7bc86dd7a6e0","year":2019},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.931036Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:96ffee26ea1d159cf05e98d7675f5d441a40e87e5fb3f00a80657d57320f76d3","observation_id":"b26d673e-6e9b-42ba-b8bc-92da63e8e871","resolution":{"observed_at":"2026-08-11T11:13:41.053946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:41.025317Z","title":"Self-evolved dynamic expansion model for task- free continual learning,","venue":null,"work_id":"82e5bcf9-149f-447e-9cfa-ab3bf7d87130","year":2023},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.936752Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:42931b84b0fcf84acd9cb95070e1ebd008859f983ef930b3ac14abbe91c8882b","observation_id":"07ca1a03-b58f-44d4-a920-73547851c772","resolution":{"observed_at":"2026-08-11T11:13:41.031689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T11:13:41.003436Z","title":"Log-based anomaly detection with robust feature extraction and online learning,","venue":null,"work_id":"8cb7525d-37b4-44d0-bdc8-98bc8b3a7131","year":2021},"citing_paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection","version":4},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:40.943669Z"},"links":{"citing_paper":"/paper/2412.16264"},"observation_digest":"sha256:c5e8535c0c21f747701a0400d30953eb8d6395b1c970b300fc9f7fac0a99cd19","observation_id":"ab3bc839-6d08-4943-a5e3-e738d7453c89","resolution":{"observed_at":"2026-08-11T11:13:41.012061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.16264","last_updated":"2025-07-02T05:07:28Z","latest_version":4,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-16T21:58:19.671318Z","submitted_at":"2024-12-20T09:22:07Z","title":"Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":29},"total_outbound_references":38},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2412.16264."}