{"as_of":"2026-08-13T14:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4a25915c2aa03c4379b604c5da9b92102de15812da7f53bafb16e8b8375a135a","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T15:12:11.815883Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/2411.14550/citation-record","integrity":"/paper/2411.14550/integrity","json":"/paper/2411.14550/citation-record.json","paper":"/paper/2411.14550"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.ins.2022.09.073","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:12:12.175431Z","title":"K -means Clustering Algorithms: A Comprehensive Review, Variants Analysis, and Advances in the Era of Big Data","venue":null,"work_id":"4faf42a5-eaea-4add-aeb4-48c3d99ce503","year":2023},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.666060Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:8c9374d9c0ed18b74ffdeb6e2d3d29e1fcc73032127c1b860278e752a1f9ecab","observation_id":"04b45652-493b-4fc2-aff9-f084d46fc19e","resolution":{"observed_at":"2026-08-12T15:12:12.180578Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2020.12101","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:12:39.180178Z","title":"A Survey on the Use of Data Clustering for Intrusion Detection System in Cybersecurity","venue":null,"work_id":"18a6e96d-e611-4c0c-80a6-f1c45a8598e8","year":2020},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.671528Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:a2fe997917054d7160436a632638d1b720e9ad192e129f4bde95e6d591154ffa","observation_id":"8ace7eea-df3d-4eee-bbb8-9ccdcfaf384a","resolution":{"observed_at":"2026-08-12T15:12:39.187636Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:12:11.676433Z","title":"A Review on Cybersecurity Datasets for Machine Learning Algorithms","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.676433Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:81be2b05923063f330a254afc42515c348c24239ae0dfc426bd6541fa8062211","observation_id":"f217e613-1741-435b-9a6c-f4873b89c201","resolution":{"observed_at":"2026-08-12T15:12:11.676433Z","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":"10.1016/j.sciaf.2020.e00497","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:12:12.159627Z","title":"Network Intrusion Detection System Using Supervised Learning Paradigm","venue":null,"work_id":"078900d1-f6a3-4f8a-a4bb-1f7864f95b76","year":2020},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.681392Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:c8ac3b6fed2518c56643e6e6ece25d6c8289788b2f4fad1e95170cbcba19aeb3","observation_id":"f17e6370-b762-433e-9200-b482a102a331","resolution":{"observed_at":"2026-08-12T15:12:12.165030Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:12:39.291862Z","title":"Cybersecurity Detection Model Using Machine Learning Techniques","venue":null,"work_id":"e3053ede-f39f-414e-bec2-c0df1a367f35","year":2023},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.686200Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:e292055e8d13089897116528315f1cf9d21fff205de38da3fb6dd22a6a2acab3","observation_id":"f08ee6a8-4fc3-4725-bbc8-48c0e8c17a82","resolution":{"observed_at":"2026-08-12T15:12:39.297515Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1155/2022/3640017","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:12:12.026751Z","title":"C SVM Classification and KNN Techniques for Cyber Crime Detection","venue":null,"work_id":"5483cea8-6d03-4da4-9104-68f6012b7422","year":2022},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.690759Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:6711408d48db6ba63295977c7592e771696e977f320deaf30680776bb8a27342","observation_id":"3946f014-97b8-4e34-9b0e-5864056da2c3","resolution":{"observed_at":"2026-08-12T15:12:12.032178Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/info14100550","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:12:12.010056Z","title":"A Deep Learning Methodology for Predicting Cybersecurity Attacks on the Internet of Things","venue":null,"work_id":"9b9c76a6-320d-47b0-a415-741fdc3036f9","year":2023},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.695966Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:ae1ca42908e2661e6ed8cf88169b87c46ba9827af8fe2b68c4db950efc3288b4","observation_id":"f8c3071b-c285-4461-8dd0-8f860ba1fb2c","resolution":{"observed_at":"2026-08-12T15:12:12.014956Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10462-020-09837-3","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:12:11.993264Z","title":"A Survey on Intrusion Detection System: Feature Selection, Model, Performance Measures, Application Perspective, Challenges, and Future Research Directions","venue":null,"work_id":"fc3add02-1109-4537-9678-7ae2dbcbb4f0","year":2022},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.700508Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:f6b90fcf6003ae5898fab9dea0d48cc52daf6c95ef2a6449f4bc498edf7f7c5b","observation_id":"155e1b5e-2253-42aa-a6c1-f480a2870aff","resolution":{"observed_at":"2026-08-12T15:12:11.999155Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:12:39.013999Z","title":"Data Security and Privacy Protection for Cloud Storage: A Survey","venue":null,"work_id":"37f7df87-fad2-41f8-acbc-8a98004856ef","year":2020},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.704939Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:da695a86e9e40448edda0a2267574f7a0f38e4a98ea0717a28532a9d53304ac7","observation_id":"21df3681-8ab8-4f33-b869-c4516459bc40","resolution":{"observed_at":"2026-08-12T15:12:39.018922Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:12:34.497495Z","title":"A Systematic Literature Review of Intrusion Detection System for Network Security: Research Trends, Datasets and Methods","venue":null,"work_id":"70bea7e2-dd78-4bc0-a5f4-fa23b4bf709a","year":2020},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.709469Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:5b69df5108d5c2887373d4b51909503e8d6f16aa9f32ca5d24798805383c0e78","observation_id":"bff82df3-dd90-4cd5-bb90-29f446168b9e","resolution":{"observed_at":"2026-08-12T15:12:34.503216Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:12:30.776126Z","title":"Machine Le arning and Cyber Security","venue":null,"work_id":"5acb1f84-548e-43be-8695-341a90224edf","year":2017},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.714002Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:752ccff663b7164effe2ade95602f667d206b0cb4270bc1a7ba7f0d2ef84b53f","observation_id":"d331dd9c-8774-4e98-86e0-33fb38670e89","resolution":{"observed_at":"2026-08-12T15:12:30.781357Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/info14020103","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:12:11.977875Z","title":"A Comparative Analysis of Supervised and Unsupervised Models for Detecting Attacks on the Intrusion Detection Systems","venue":null,"work_id":"341ce69a-5c0d-4bc8-ac14-c9541624efba","year":2025},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.718673Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:29f4bcfbae57f7976fca067d1a2ad3a5e6168c5614a090f602c3bbf681557f35","observation_id":"63417c6d-9860-4a8b-867e-2ab90dcc7189","resolution":{"observed_at":"2026-08-12T15:12:11.982848Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:12:39.275847Z","title":"Optimized Deep Learning with Binary PSO for Intrusion Detection on CSE-CIC-IDS2018 Dataset","venue":null,"work_id":"4ba1d5f4-8dbd-4541-a935-28416e444357","year":2020},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.723093Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:06181012ca59a77aeaab245447e011410d0b84e067a797a3b30111184b02beaa","observation_id":"e7b74be0-2a7a-429f-b2f8-13074a790485","resolution":{"observed_at":"2026-08-12T15:12:39.281777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:12:39.259378Z","title":"An Effect ive Deep Learning Based Multi -Class Classification of DoS and DDoS Attack Detection","venue":null,"work_id":"ae858a4f-1084-481a-ba3d-213601c899f9","year":2023},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.727395Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:8bc4247f137e73fccd862df78be56393c90d51b40fa80b88111e1b8d638c8ce8","observation_id":"a4b3cf2d-b275-49bf-88b3-54bdd83cbec6","resolution":{"observed_at":"2026-08-12T15:12:39.264820Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3233/jifs-230832","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:12:11.962145Z","title":"A Novel Attention-Based Feature Learning and Optimal Deep Learning Approach for Network Intrusion Detection","venue":null,"work_id":"06c55a22-8b6e-45c0-933b-b5f7dd34fd97","year":2023},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.731908Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:9df599c20c8b0a02b4b164968161b3d0ddf240a90227ca3f56babfba125165c9","observation_id":"1ad7537a-8aa3-4501-a4cd-251638205f39","resolution":{"observed_at":"2026-08-12T15:12:11.967151Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.05232","last_updated":"2022-03-10T08:40:04Z","snapshot_observed_at":"2026-08-11T16:27:17.472902Z","submitted_at":"2022-03-10T08:40:04Z","title":"Evaluation of Machine Learning Algorithms in Network-Based Intrusion Detection System","version":1},"cited_work":{"arxiv_id":"2203.05232","doi":null,"metadata_source":"pith","pith_arxiv_id":"2203.05232","snapshot_observed_at":"2026-08-12T15:12:27.465555Z","title":"Evaluation of Machine Learning Algorithms in Network-Based Intrusion Detection System","venue":"cs.CR","work_id":"97891856-6949-4215-92ee-ac36c88a3332","year":2022},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.736321Z"},"links":{"cited_paper":"/paper/2203.05232","citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:6db55ec79c9002ddcbfc2dce8a9bf7e4479e7384b34308c284b712037acdc0da","observation_id":"83586fc5-2674-4435-b8fe-624a47da31e3","resolution":{"observed_at":"2026-08-12T15:12:27.472948Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.neuroimage.2010.0","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:12:11.945305Z","title":"High -Dimensional Pattern Regression Using Machine Learning: From Medical Images to Continuous Clini cal Variables","venue":null,"work_id":"3df56388-4f7c-4022-86b5-cd16980ee5ab","year":2010},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.745631Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:53d01470675218c110b78b8c9e2eeec75f1dd2846271c179517779ba56c26baa","observation_id":"374f3bce-fb2e-40ec-b87c-84da3174b4d4","resolution":{"observed_at":"2026-08-12T15:12:11.950980Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:12:11.750140Z","title":"Selection of Relevant Features and Examples in Machine Learning","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.750140Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:e180706a9af696e1d9d190aa056db93a81a1e70b950a7391649e05ff7882f650","observation_id":"a0dea806-9f17-4749-9081-a8c414860830","resolution":{"observed_at":"2026-08-12T15:12:11.750140Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-12T15:12:39.243405Z","title":"Introduction to the Data Mining Techniques in Cybersecurity","venue":null,"work_id":"cc455625-f070-4f90-9cec-a25f7f93583f","year":2022},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.754676Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:0beb80571a52a161b2dc046cf1009a7c2f3fabebf6e178f52103fbcbcef48e72","observation_id":"d576e4fa-f640-40ce-8b1c-b72a758530d1","resolution":{"observed_at":"2026-08-12T15:12:39.248997Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.phpro.2012.03.166","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:12:11.919190Z","title":"A Clustering Method Based on K -Means Algorithm","venue":null,"work_id":"7fd28982-74d3-4aa5-b6dc-1d3853f8e62c","year":2012},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.759352Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:042697c7d2ca5013d0bbedce0e41bfc620cbda70d0b77a3cf7b35e80cda087a4","observation_id":"964a969d-a65f-42d5-9c50-c53507156c29","resolution":{"observed_at":"2026-08-12T15:12:11.924221Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:12:27.443535Z","title":"Unsupervised K - Means Clustering Algorithm","venue":null,"work_id":"9bf45a4c-eb47-44f4-bd1d-c5b42831d11b","year":2020},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.765033Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:504771bf01260d5a1d315bd94c7dace5a23d062197d8056d781319aa1801f154","observation_id":"349f1fa9-3118-4480-b70f-de2fcad81a3e","resolution":{"observed_at":"2026-08-12T15:12:27.448429Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:12:23.955568Z","title":"Multi -View K-Means Clustering Algorithm Based on Redundant and Sparse Feature Learning","venue":null,"work_id":"e5ff2aea-381c-4c2c-b378-908dfc85eb90","year":2024},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.769619Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:a811448924a56b173c76cf7d5ea3aec4b153c1f7de4498dae9f89765e756e536","observation_id":"ccc885d2-aace-461b-85be-b7812bad8152","resolution":{"observed_at":"2026-08-12T15:12:23.960601Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.knosys.2018.08.027","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:12:11.903434Z","title":"A Study of Graph-Based System for Multi -View Clustering","venue":null,"work_id":"c0ab3212-61b5-489f-ae0e-85ebcb0b1b65","year":2019},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.774281Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:ae8a623632937030954ac2796ff75071d3b5e55b3747b079e1cc6ac1c06d3174","observation_id":"a9d4cfda-c9ab-4902-81ba-3748c91dc333","resolution":{"observed_at":"2026-08-12T15:12:11.908388Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.jnca.2012.04.014","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:12:11.887850Z","title":"Intrusion Detection System: A Comprehensive Review","venue":null,"work_id":"f9f536f6-fdd9-45fc-ae21-8a1d66cd9b1e","year":2013},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.778964Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:c9e332b3c317d22f96c80d047ca6780fbc9f3ae3030c8893ea191e7ac4197de6","observation_id":"4f7d9e25-59cc-4d2c-81c0-fdc959d6fd8e","resolution":{"observed_at":"2026-08-12T15:12:11.892677Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.4028/www.scientific.net/a","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:12:11.869365Z","title":"A Clustering Met hod Based on K - Means Algorithm","venue":null,"work_id":"c63dc377-3d8b-4503-82af-5ee034d4027d","year":2013},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.783495Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:2d24888d23570cdfa0024807f6640758b798e21bd0df472076b91caed8a25e90","observation_id":"b4578c0a-d161-4fc6-a732-b12794f491fe","resolution":{"observed_at":"2026-08-12T15:12:11.876730Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:12:11.787931Z","title":"The K -Means Algor ithm: A Comprehensive Survey and Performance Evaluation","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.787931Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:d6d0297282b6e04908d95f8bbf6638b5c80010edbd63b000c933cb48efa102a5","observation_id":"9233bde9-472e-4b24-8e9c-54e6ad485281","resolution":{"observed_at":"2026-08-12T15:12:11.787931Z","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":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:12:20.242610Z","title":"Landslide Susceptibility Zonation Method Based on C5.0 Decision Tree and K - Means Cluster Algorithms to Improve the Efficiency of Risk Management","venue":null,"work_id":"9eb709df-4f08-4b45-8b6e-dc51d48bdf58","year":2021},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.792995Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:8fe8191c8700e901a3243736887e47783ff5a5df058c716c0ae131ddcf6197de","observation_id":"06200917-b9a4-4c26-8f05-dff4b7026c1b","resolution":{"observed_at":"2026-08-12T15:12:20.247792Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:12:11.797384Z","title":"K -Means Tree: An Optimal Clustering Tree for Unsupervised Learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.797384Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:c71e60c945322c3612128a87cc849ccbf62af6153d95954aa92eeb4d03a856ca","observation_id":"01b91870-7f1d-45db-8588-c902caf7db0b","resolution":{"observed_at":"2026-08-12T15:12:11.797384Z","resolver_source":null,"status":"malformed_identifier"},"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":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:12:13.133423Z","title":"Detecting Cybersecurity Attacks Using Different Network Features with LightGBM and XGBoost Learners","venue":null,"work_id":"bf447244-ba86-40a2-9f16-ab5846bdf432","year":2020},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.801903Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:b9e6f691383f819b57635d256524efdbcdd2d3f456dedf7f7c77c31a077d9509","observation_id":"a6b91baf-badb-4702-ac66-60f3a491f11e","resolution":{"observed_at":"2026-08-12T15:12:13.138685Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:12:39.228074Z","title":"Anomaly Detection Using XGBoost Ensemble of Deep Neural Network Models","venue":null,"work_id":"36365102-332f-4b5c-b362-453fd006a74a","year":2021},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.806196Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:ecbde33cec35819495993f18354321b9ac5a277a4ad1653f3538e813f03f6eef","observation_id":"f6086e3d-4d1f-4124-8b9f-3fb24452bde1","resolution":{"observed_at":"2026-08-12T15:12:39.232922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:12:39.212233Z","title":"Network Intrusion Detection with XGBoost","venue":null,"work_id":"d245840b-c11f-462c-837b-a1ea7342910b","year":2020},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.810747Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:e48d2baa4f4090ad070d35a75817f69a0a9af5e6c2bd5ef29caae9f5be36613b","observation_id":"60c589ef-9e3c-49ce-937a-9c34f28c3f86","resolution":{"observed_at":"2026-08-12T15:12:39.217219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:12:39.197696Z","title":null,"venue":null,"work_id":"2611200b-1299-481c-a005-34b848010b23","year":null},"citing_paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T15:12:11.815883Z"},"links":{"citing_paper":"/paper/2411.14550"},"observation_digest":"sha256:dd93cb6714bffcd66f26c7b89ea3d0cf67c9d931d6f2e77dd2f85b8859c990ab","observation_id":"c3ab62c5-d113-4abb-889e-0898fdb8151b","resolution":{"observed_at":"2026-08-12T15:12:39.202028Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.14550","last_updated":"2025-03-26T14:42:39Z","latest_version":2,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-13T06:19:37.281779Z","submitted_at":"2024-11-21T19:40:31Z","title":"The importance of the clustering model to detect new types of intrusion in data traffic"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":3,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":20,"verified_fuzzy":6},"total_outbound_references":32},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2411.14550."}