{"as_of":"2026-08-11T22:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:661bcfec9f0cac5d0028fd08f07970a7e4ec6abcf8d14f7d3de633432ad60d8d","coverage":[{"denominator":190,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T04:38:57.397561Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2502.08576/citation-record","integrity":"/paper/2502.08576/integrity","json":"/paper/2502.08576/citation-record.json","paper":"/paper/2502.08576"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T04:38:56.958074Z","title":"Harnessing the power of llms in practice: A survey on chatgpt and beyond,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:56.958074Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:11b1838b8072f2e93ef8e7abd2a2b2a54bbc5e843af0c0f29f961014bc16e351","observation_id":"adecc1e4-e071-4593-91df-869726a422e2","resolution":{"observed_at":"2026-08-08T04:38:56.958074Z","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":"forecasts/1449838","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T04:38:58.529462Z","title":"Generative Artificial Intelligence (AI) Market Size Worldwide from 2020 to 2030,","venue":null,"work_id":"0defe719-9e39-4faa-8aa4-5b1f8d37140e","year":2020},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:56.963012Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:db1681c61f72b5c1468bc270301067b3cbe64ebfbd49073024dced4ebc7ca91f","observation_id":"49c63361-c448-4d4c-abd0-1f4838b151cc","resolution":{"observed_at":"2026-08-08T04:38:58.537678Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03025","last_updated":"2024-04-08T04:28:37Z","snapshot_observed_at":"2026-08-09T03:04:55.066620Z","submitted_at":"2024-04-03T19:21:24Z","title":"When Digital Twin Meets Generative AI: Intelligent Closed-Loop Network Management","version":2},"cited_work":{"arxiv_id":"2404.03025","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.03025","snapshot_observed_at":"2026-08-08T04:38:58.460451Z","title":"When Digital Twin Meets Generative AI: Intelligent Closed-Loop Network Management","venue":"cs.NI","work_id":"90f5cf69-2e54-496a-b50a-f0b0251e2cd9","year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:56.967616Z"},"links":{"cited_paper":"/paper/2404.03025","citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:d2fb86a3e628200a6d92576f7d9069eb1380644353c6c49ecfeaff90ab486a13","observation_id":"eb6e042c-4218-4f61-b156-c363fae954c4","resolution":{"observed_at":"2026-08-08T04:38:58.465632Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-08T04:38:56.972494Z","title":"The Age of Generative AI and AI-generated Everything,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:56.972494Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:8adea08c0e829800f312879bbd4c47ad1086f44195482533a79480cbe8f10d1b","observation_id":"6b15b3b3-29b1-4bcf-8a71-cb25ec03c4e3","resolution":{"observed_at":"2026-08-08T04:38:56.972494Z","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":"2026-08-08T04:38:56.977143Z","title":"Technology readiness levels for machine learning systems,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:56.977143Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:244345a77b440569911858b2f3e8c3066d78d148a1e3e2f54adc3299dbbd46a3","observation_id":"0f0b71eb-9a51-42a6-b264-6ca355153f2a","resolution":{"observed_at":"2026-08-08T04:38:56.977143Z","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":"2026-08-08T04:38:56.981756Z","title":"Landing AI on Networks: An Equipment Ven- dor Viewpoint on Autonomous Driving Networks,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:56.981756Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:255624ea98add19c5f2abf0c1279ea81679539359fa457cc2883984cdd2d6010","observation_id":"6c1d5181-d815-4cc1-8fd8-e7789831f9d1","resolution":{"observed_at":"2026-08-08T04:38:56.981756Z","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":"2026-08-08T04:38:56.986772Z","title":"The Networking Channel,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:56.986772Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:f50776deb6c1bd7acf8d50d377e33708cc952870ebe7a4e187bbdc75e6b774e0","observation_id":"150514c6-5597-48bf-a261-837be74eacd8","resolution":{"observed_at":"2026-08-08T04:38:56.986772Z","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":"2026-08-08T04:38:56.991280Z","title":"AT&T’s new Generative AI Tool Will Help Employees Be More Effective, Creative, and Innovative,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:56.991280Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:decc382ceba8ac6ee9e2f79c517e8c0e340b570a6f0e7ddb05a873b61ce20ac1","observation_id":"42eb82da-ff05-4086-8e91-3a13ea7588ee","resolution":{"observed_at":"2026-08-08T04:38:56.991280Z","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":"2026-08-08T04:38:56.995708Z","title":"Cisco Artificial Intelligence,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:56.995708Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:21a21e061f35635a38f18f8bc658736fdbc6a1473fd39cedf848a9bec50f199e","observation_id":"5897ada7-1523-4ffb-9785-6b62638adbf0","resolution":{"observed_at":"2026-08-08T04:38:56.995708Z","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":"2026-08-08T04:38:57.000181Z","title":"How to Make Better Use of Network Insights with Gen- erative AI,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.000181Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:040f56693952aaede1483a042cd26be64d8e2b6eb51104e592bdc8da6598e433","observation_id":"3a464a97-4774-4c87-94fa-0442ed45e0ed","resolution":{"observed_at":"2026-08-08T04:38:57.000181Z","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":"2026-08-08T04:38:57.004512Z","title":"European Innovation Council,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.004512Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:0e8dd80e3355a59d3601d9a225df624a054fbf8ec59f434ea3887f6db10191d6","observation_id":"8b0e7889-25f3-4d37-9b39-a5e65d4e61f7","resolution":{"observed_at":"2026-08-08T04:38:57.004512Z","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":"2026-08-08T04:38:57.008974Z","title":"Huawei Introduces AI Technologies to Accelerate Network Trans- formation Towards All Intelligence in the Net5.5G Era,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.008974Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:1f87ca3313839a90abb1984816c9a65b8837c02e62b21ad019f8be828db19599","observation_id":"54560186-c767-4bbf-a65c-bdeee7a05d9e","resolution":{"observed_at":"2026-08-08T04:38:57.008974Z","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":"2026-08-08T04:38:57.013082Z","title":"Welcome to the Large Generative Al Models inTelecom (GenAlNet) Emerging TechnologyInitiative website,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.013082Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:b0d59c11f4c8649173e3b8f5a0f3382c6805ae364a64dfb85a8b4e58503390a9","observation_id":"4c57b3b4-380f-4999-ab32-90e1978539f7","resolution":{"observed_at":"2026-08-08T04:38:57.013082Z","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":"2026-08-08T04:38:57.017475Z","title":"IETF Side Meetings,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.017475Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:3f310889e77e4ef26a0cc4f68fb532252abaf862cdd718c69eca121105962f41","observation_id":"8ea5d1ce-2cc0-4a17-a7c0-c91a2a4bf708","resolution":{"observed_at":"2026-08-08T04:38:57.017475Z","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":"2026-08-08T04:38:57.021785Z","title":"Specializing Large Language Models for Telecom Networks,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.021785Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:d0efb5638c7861f734e782930da651a3d981bf3ec39c48a6dc29aa93430bf851","observation_id":"6fa1b0a3-09c7-4319-9886-42161936c095","resolution":{"observed_at":"2026-08-08T04:38:57.021785Z","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":"2026-08-08T04:38:57.026612Z","title":"Generative AI implications for Telco Operations,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.026612Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:0dbe32c86dc2eb333a3b84f3884343c46766cf094f7e90507724bad6e3dab785","observation_id":"de09df32-e2eb-402f-8153-d1248bdccb9c","resolution":{"observed_at":"2026-08-08T04:38:57.026612Z","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":"2026-08-08T04:38:57.031355Z","title":"Telefónica Partners with Microsoft to Incorporate Generative AI into Kernel,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.031355Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:58657cf5b6b34d912e7941beb870b7f5fe4a9408cd66315f4ca924856be3ef2d","observation_id":"d141af52-a50f-4cec-bfb1-3d4cbccd32b0","resolution":{"observed_at":"2026-08-08T04:38:57.031355Z","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":"2026-08-08T04:38:57.035692Z","title":"Generative AI: the challenge of TIM for the future of IT,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.035692Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:d2d98f7f429f6bce4444616cf81ec1858e9f2ae84e465988ef1f7e149c6be77d","observation_id":"4648a3f8-d067-4c67-b672-792b92c39268","resolution":{"observed_at":"2026-08-08T04:38:57.035692Z","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":"2026-08-08T04:38:57.040078Z","title":"Empowering IoT with Generative AI: Applications, Case Studies, and Limitations,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.040078Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:acd3707bfbc590803a2a5444de5c5ac0cb7ae6a5f4f115d36282ea21c053c1c3","observation_id":"c4f4bb1d-c0cb-48b7-a1ad-1c91d852216f","resolution":{"observed_at":"2026-08-08T04:38:57.040078Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14487","last_updated":"2024-05-23T12:19:07Z","snapshot_observed_at":"2026-08-08T00:00:01.788882Z","submitted_at":"2024-05-23T12:19:07Z","title":"A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14487","snapshot_observed_at":"2026-08-08T04:38:57.044375Z","title":"A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.044375Z"},"links":{"cited_paper":"/paper/2405.14487","citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:5a83e006225eaf255d06f79ea58b5bd9b0aa5e788c03d44c8234a45f890fc465","observation_id":"bfced28d-a0dd-491a-9a1d-fc96a46daa86","resolution":{"observed_at":"2026-08-08T04:38:57.044375Z","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":"2026-08-08T04:38:57.049156Z","title":"Machine Learning Techniques for IoT Security: Current Research and Future Vision with Generative AI and Large Language Models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.049156Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:cb3896d151fd27b88e736b4a992f7317c974475735afa7498bbc58a746432197","observation_id":"a61c2469-8384-44ee-9ca6-68e2a7aab5e0","resolution":{"observed_at":"2026-08-08T04:38:57.049156Z","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":"2026-08-08T04:38:57.053446Z","title":"Applying Generative Machine Learning to Intrusion Detection: A Systematic Mapping Study and Review,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.053446Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:08db8b26ad6b0a612da36d897a1043087ceee3748ba95ac8c96d5d6f2d07b792","observation_id":"b4a3f244-9f58-4653-b80c-4f012478207b","resolution":{"observed_at":"2026-08-08T04:38:57.053446Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.10825","last_updated":"2024-09-16T05:09:57Z","snapshot_observed_at":"2026-07-06T18:15:50.255628Z","submitted_at":"2024-05-17T14:46:13Z","title":"Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.10825","snapshot_observed_at":"2026-08-08T04:38:57.057666Z","title":"Large Language Model (LLM) for Telecom- munications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.057666Z"},"links":{"cited_paper":"/paper/2405.10825","citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:04e853972bebf21ceae4a2e22727d48ae6a94a5787a924e53a575d7b5f97320c","observation_id":"cd23e2b9-a1ea-422a-ab82-0040021870c1","resolution":{"observed_at":"2026-08-08T04:38:57.057666Z","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":"2026-08-08T04:38:57.062317Z","title":"At the dawn of generative AI era: A tutorial-cum-survey on new frontiers in 6G wireless intelligence,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.062317Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:89f9d2e98c7bded2ae03eb16277cd972c8acea7e8c1a464571874e244c39f196","observation_id":"605093c2-599b-4a4b-9871-831f5de08510","resolution":{"observed_at":"2026-08-08T04:38:57.062317Z","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":"2026-08-08T04:38:57.066664Z","title":"Generative AI in Mobile Networks: a Survey,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.066664Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:fe00f1937fc4a5af5fbec1004af9a1585a90f5a5cb9a1f8b7b5d3e1942422f49","observation_id":"4d4622e8-5ed7-4862-962a-f5aa409eb6c7","resolution":{"observed_at":"2026-08-08T04:38:57.066664Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.12901","last_updated":"2024-04-29T04:46:13Z","snapshot_observed_at":"2026-07-06T18:02:45.104204Z","submitted_at":"2024-04-19T14:17:02Z","title":"Large Language Models for Networking: Workflow, Advances and Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.12901","snapshot_observed_at":"2026-08-08T04:38:57.070696Z","title":"Large Language Models for Networking: Workflow, Advances and Challenges,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.070696Z"},"links":{"cited_paper":"/paper/2404.12901","citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:c965627995b35c6ab88b640a5bac358eef088d4628efe0b089bcb3d46849a145","observation_id":"35e063be-b026-47f4-8870-5bb1a2562923","resolution":{"observed_at":"2026-08-08T04:38:57.070696Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.17474","last_updated":"2023-11-29T09:31:13Z","snapshot_observed_at":"2026-08-09T01:08:46.239494Z","submitted_at":"2023-11-29T09:31:13Z","title":"Large Language Models for Networking: Applications, Enabling Techniques, and Challenges","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.17474","snapshot_observed_at":"2026-08-08T04:38:57.075101Z","title":"Large Language Models for Networking: Applications, En- abling Techniques, and Challenges,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.075101Z"},"links":{"cited_paper":"/paper/2311.17474","citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:002b052aff0e2c602120f54066090a5d0001505549b298465c7414774948848e","observation_id":"575c2064-b8cd-4c79-8dae-d6216bd111e9","resolution":{"observed_at":"2026-08-08T04:38:57.075101Z","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":"2026-08-08T04:38:57.079493Z","title":"Tele- com’s Artificial General Intelligence (AGI) Vision: Beyond the GenAI Frontier,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.079493Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:2188b04e002cea132f60caf7b4893da489538af8cb1ae9e4ef411985225d1da8","observation_id":"e77339e1-1a78-4e0b-b40e-130c7ad618c2","resolution":{"observed_at":"2026-08-08T04:38:57.079493Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.12750","last_updated":"2025-01-17T11:10:05Z","snapshot_observed_at":"2026-07-06T18:17:16.999617Z","submitted_at":"2024-05-21T13:02:27Z","title":"Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.12750","snapshot_observed_at":"2026-08-08T04:38:57.083771Z","title":"Generative AI and Large Language Models for Cyber Security: All Insights You Need,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.083771Z"},"links":{"cited_paper":"/paper/2405.12750","citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:8c9f8fb3e590f83e91deb268de254af690124e42bafbc5ef2992af019b56af49","observation_id":"1403fe2b-1356-437d-bf88-1487a4ab10af","resolution":{"observed_at":"2026-08-08T04:38:57.083771Z","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":"2026-08-08T04:38:57.088403Z","title":"Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.088403Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:877fa1db2f7e2bc710ada30f4f8b00356ee3273ef18b7fa9a12eceb34558919a","observation_id":"71535633-8809-4a6f-bdb2-325e6e82049b","resolution":{"observed_at":"2026-08-08T04:38:57.088403Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.06942","last_updated":"2024-02-10T13:00:37Z","snapshot_observed_at":"2026-08-07T06:40:40.754311Z","submitted_at":"2024-02-10T13:00:37Z","title":"Toward Scalable Generative AI via Mixture of Experts in Mobile Edge Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.06942","snapshot_observed_at":"2026-08-08T04:38:57.092943Z","title":"Toward Scalable Generative AI via Mixture of Experts in Mobile Edge Networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.092943Z"},"links":{"cited_paper":"/paper/2402.06942","citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:4628af0d91dad69824f9b659d461656f44d9202e5050569bcc26f1dd0b9e90ac","observation_id":"1acdf55f-f6ae-4b4f-bb7b-111ae10b4fca","resolution":{"observed_at":"2026-08-08T04:38:57.092943Z","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":"2026-08-08T04:38:57.097691Z","title":"Characterization and prediction of mobile-app traffic using Markov modeling,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.097691Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:8bfe8eb7f386b19ee7638209a4bb16401e95ae09e2db8132ba46c7fc6e16639f","observation_id":"e829c83c-9714-4fef-abb1-31fc530ad0f2","resolution":{"observed_at":"2026-08-08T04:38:57.097691Z","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":"2026-08-08T04:38:57.102375Z","title":"Synthetic and Privacy-Preserving Traffic Trace Gen- eration using Generative AI Models for Training Network Intrusion Detection Systems,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.102375Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:d7d755882136e22dd7f05b2b9a36bcaa80fd4ad48f18f30fe4f9af746dba65e9","observation_id":"3fe5a153-8bfb-4578-964d-3ec6227fcc66","resolution":{"observed_at":"2026-08-08T04:38:57.102375Z","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":"2026-08-08T04:38:57.106870Z","title":"Knowledge enhanced GAN for IoT traffic generation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.106870Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:722c2900f345a5c4a0662cb3ba28d265e43c1da00c71076f108ccf256f53bb50","observation_id":"05bd26f1-e179-4ec5-b37d-cd5615ddd15c","resolution":{"observed_at":"2026-08-08T04:38:57.106870Z","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":"2026-08-08T04:38:57.111149Z","title":"CFLOW-AD: real-time unsupervised anomaly detection with localization via conditional nor- malizing flows,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.111149Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:fd2e999201e8ca45e4a2ad22610470f38537e3013837a638c1cc2170dfb080cc","observation_id":"97af713c-880b-463e-95ea-1b2f89b113b3","resolution":{"observed_at":"2026-08-08T04:38:57.111149Z","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":"2026-08-08T04:38:57.115487Z","title":"Auto-encoding variational Bayes,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.115487Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:6762bf6e37f28ddc74e69b82e9367b609580b459511eab4ae034ab3dff172952","observation_id":"980ccbf4-e59c-4208-b29b-25da560b011b","resolution":{"observed_at":"2026-08-08T04:38:57.115487Z","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":"2026-08-08T04:38:57.119647Z","title":"Attention is All You Need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.119647Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:1375d63da18e9ae624440739eb9babd581ffd278e6a6a3afb5e03dbaec51d499","observation_id":"f701b15b-08e4-45a8-9028-e4c4eacd7842","resolution":{"observed_at":"2026-08-08T04:38:57.119647Z","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":"2026-08-08T04:38:57.124048Z","title":"NICE: Non-linear independent components estimation,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.124048Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:78938b8555306c5afdaa51f2d9bf257c8245970a18d5764fc51850043b56ff1a","observation_id":"c406da41-b0f1-40e2-b5a6-22303fa53476","resolution":{"observed_at":"2026-08-08T04:38:57.124048Z","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":"2026-08-08T04:38:57.128448Z","title":"Network Traffic Generation: A Survey and Methodology,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.128448Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:6503fe7b37e8d0992e1f9ed0fe2101b8fa8266b0c80d88966a8dae843119c010","observation_id":"df2556ae-220d-4cbd-a6cb-d0aa56986053","resolution":{"observed_at":"2026-08-08T04:38:57.128448Z","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":"2026-08-08T04:38:57.132931Z","title":"Generative Adversarial Nets,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.132931Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:569deaaeff5999279ff5b808fa56eec51619ab9cbcf951ac4f1e0679d96695f2","observation_id":"caa6d5ef-60a8-46ed-8819-bc781cde97ad","resolution":{"observed_at":"2026-08-08T04:38:57.132931Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1411.1784","last_updated":"2014-11-06T22:33:22Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-11-06T22:33:22Z","title":"Conditional Generative Adversarial Nets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1411.1784","snapshot_observed_at":"2026-08-08T04:38:57.137746Z","title":"Conditional generative adversarial nets,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.137746Z"},"links":{"cited_paper":"/paper/1411.1784","citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:7a0d94fdb424c3f7f6215ed480e6533b7b7b0667f3cf16655e8e29e677ea479e","observation_id":"cf4aec5d-23d1-484a-ba82-0a16a2518d43","resolution":{"observed_at":"2026-08-08T04:38:57.137746Z","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":"2026-08-08T04:38:57.142305Z","title":"Unsupervised representation learning with deep convolutional generative adversarial networks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.142305Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:cb3d94e00e0756755d59bf0479763282796e666744861b1477d046c7c80ff6bb","observation_id":"7fa2841a-d53c-4fda-882d-e7c9d596a375","resolution":{"observed_at":"2026-08-08T04:38:57.142305Z","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":"2026-08-08T04:38:57.146724Z","title":"Autoencoding beyond pixels using a learned similarity metric,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.146724Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:a156e27d4efe72c15ffe9246c7ae4d81123ab242775b320fd75bd85a5d7a220c","observation_id":"ae2f8596-8fa2-4467-b3b6-b4db740c4989","resolution":{"observed_at":"2026-08-08T04:38:57.146724Z","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":"2026-08-08T04:38:57.151009Z","title":"Density estimation using Real NVP,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.151009Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:192d5b8f76da4df5bd5379ca39d8a405d0faa0c5bbf5603a305144351c4d042a","observation_id":"f7e0146a-2064-4fab-87b8-fb4873608d96","resolution":{"observed_at":"2026-08-08T04:38:57.151009Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.07258","last_updated":"2022-07-12T23:45:14Z","snapshot_observed_at":"2026-08-02T09:20:40.804790Z","submitted_at":"2021-08-16T17:50:08Z","title":"On the Opportunities and Risks of Foundation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.07258","snapshot_observed_at":"2026-08-08T04:38:57.155279Z","title":"On the opportunities and risks of foundation models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.155279Z"},"links":{"cited_paper":"/paper/2108.07258","citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:13d1b86851111db401857d8c3b72eab1af3a00d192c636667e842f518063b31e","observation_id":"d6143c97-0ce5-45ba-a0e9-bf70b7c5d3db","resolution":{"observed_at":"2026-08-08T04:38:57.155279Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-07-30T09:12:38.100527Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-08T04:38:57.159791Z","title":"BERT: Pre- training of Deep Bidirectional Transformers for Language Understand- ing,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.159791Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:611e91057bd43b65314eaf44d24c734c840f622f9489cbd7dbf957bba9964fac","observation_id":"aee892d7-e293-4def-a3bc-5626b5f561c1","resolution":{"observed_at":"2026-08-08T04:38:57.159791Z","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":"2026-08-08T04:38:57.164656Z","title":"Improving Language Understanding by Generative Pre-Training,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.164656Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:14a82dd6d5a8a9cace4180121a5957d1cdf8bb8db157016a436bd73bb658d74a","observation_id":"a22e6ac0-cb5a-4e27-a0b2-68ed21991184","resolution":{"observed_at":"2026-08-08T04:38:57.164656Z","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":"2026-08-08T04:38:57.168958Z","title":"Denoising Diffusion Probabilistic Mod- els,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.168958Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:a5e8170d91bf0874083a451643156d990fd17486f801bc3a59e91cd0d4271cb3","observation_id":"19230c6a-dc77-4d4f-a418-812d18ef008f","resolution":{"observed_at":"2026-08-08T04:38:57.168958Z","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":"2026-08-08T04:38:57.173519Z","title":"Understanding diffusion objectives as the elbo with simple data augmentation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.173519Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:e06433bed66ba77100aa7d6e3e2efaf41e02ceb5522702f7f84c40287e72b164","observation_id":"88decd0c-732f-465a-9b8f-9597c2cda1a5","resolution":{"observed_at":"2026-08-08T04:38:57.173519Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00752","last_updated":"2024-05-31T17:55:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-01T18:01:34Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00752","snapshot_observed_at":"2026-08-08T04:38:57.177792Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.177792Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:7167d3eb1331a849736a869ee44908d798f3b5435e8409cd0cbfb4226f28bf40","observation_id":"c8e84247-8a67-4a91-92db-c5573a9e3cb5","resolution":{"observed_at":"2026-08-08T04:38:57.177792Z","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":"2026-08-08T04:38:57.182358Z","title":"Memory-efficient fine-tuning of compressed large language models via sub-4-bit integer quantization,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.182358Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:e863f428c1ef542dfc4b9c5390ba09d25cb29754fe2d71968d161380aca7c35c","observation_id":"f82fb01e-17a3-491c-879b-f619d8445076","resolution":{"observed_at":"2026-08-08T04:38:57.182358Z","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":"2026-08-08T04:38:57.186695Z","title":"LoRa: Low-rank adaptation of large language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.186695Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:24ffd1a8bdc02e597155f5a2f986dac511fc3b045aa91562b2bb4bbcda8ba446","observation_id":"d0492d59-2555-41b7-a19d-101575bea9c9","resolution":{"observed_at":"2026-08-08T04:38:57.186695Z","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":"2026-08-08T04:38:57.190992Z","title":"NetDiffusion: Network Data Augmenta- tion Through Protocol-Constrained Traffic Generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.190992Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:1483811064396a7ec10bc4941fd2b3d92a2399c39787a1151b3dc3d97582401c","observation_id":"e69c00e3-5bc1-4d6d-8c77-92b8fd7a10b9","resolution":{"observed_at":"2026-08-08T04:38:57.190992Z","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":"2026-08-08T04:38:57.195234Z","title":"Parameter-efficient fine-tuning of large-scale pre-trained language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.195234Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:d76ed567f31f859b2691bb7e6cc6e7c4b83806144433c99215a4e5512f59ed06","observation_id":"2ab6abf4-4bb9-4242-b818-5eba4f456e3d","resolution":{"observed_at":"2026-08-08T04:38:57.195234Z","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":"2026-08-08T04:38:57.199522Z","title":"Available: https://github.com/ggerganov/ggml/blob/ master/docs/gguf.md","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.199522Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:c53ca509d8fb6d4bced33622c31e554f26aa70dc9412f20dea61348a5aa0cb68","observation_id":"c3556c78-a770-4101-9052-58c7d456ae4d","resolution":{"observed_at":"2026-08-08T04:38:57.199522Z","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":"2026-08-08T04:38:57.203913Z","title":"Using Large Language Models to Understand Telecom Standards,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.203913Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:f3b04d4fb40cc78a09b9438532a5a7d5b659520cdd7c556ab4472be3733ed0b5","observation_id":"125c2d9b-b889-4b6d-830c-0283b1636f6f","resolution":{"observed_at":"2026-08-08T04:38:57.203913Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.09513","last_updated":"2025-08-28T09:40:15Z","snapshot_observed_at":"2026-08-08T22:33:24.038256Z","submitted_at":"2023-04-19T09:04:30Z","title":"NetGPT: Generative Pretrained Transformer for Network Traffic","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.09513","snapshot_observed_at":"2026-08-08T04:38:57.208624Z","title":"NetGPT: Genera- tive Pretrained Transformer for Network Traffic,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.208624Z"},"links":{"cited_paper":"/paper/2304.09513","citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:6550b991ef3bd2e56aa3462c75e82187e09011ba9eb1535f3b2f6e6c4df4515f","observation_id":"5077bc82-cbdf-42ce-9df5-2a8a5a629cbe","resolution":{"observed_at":"2026-08-08T04:38:57.208624Z","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":"2026-08-08T04:38:57.213280Z","title":"Towards the Deployment of Machine Learning Solutions in Network Traffic Classification: A Systematic Survey,","venue":null,"work_id":null,"year":1988},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.213280Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:55dc64b60fb5964e059b865cdf67efc89da26a96364357fad3c4a3f5ff653242","observation_id":"62aacb34-73a4-4018-a5c6-715b956f387a","resolution":{"observed_at":"2026-08-08T04:38:57.213280Z","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":"2026-08-08T04:38:57.217600Z","title":"Network Traffic Classification: Techniques, Datasets, and Challenges,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.217600Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:4e6e800bf87f694c37b8f59ab0fb86eac73bbeb6e156af8db73da3056556ccdc","observation_id":"716aa14d-0617-4f9e-8319-27e1a8aeeda8","resolution":{"observed_at":"2026-08-08T04:38:57.217600Z","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":"2026-08-08T04:38:57.221882Z","title":"AI- powered Internet Traffic Classification: Past, Present, and Future,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.221882Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:916a145b94e62ac0e50e72845b25930954160259001f663de376a0c3bfca90ec","observation_id":"a6d92d7d-a8bc-4f1d-b140-5a07eaab3326","resolution":{"observed_at":"2026-08-08T04:38:57.221882Z","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":"2026-08-08T04:38:57.226199Z","title":"ET-BERT: A Con- textualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.226199Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:1329ba199b1cd4c35762bfd8b83d8c26c028114925cafc93aeae4b6dbb3f7af0","observation_id":"6a1adf16-07a5-493b-a6e4-2caec6fbea08","resolution":{"observed_at":"2026-08-08T04:38:57.226199Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.11449","last_updated":"2024-10-20T13:20:07Z","snapshot_observed_at":"2026-07-06T18:16:20.122022Z","submitted_at":"2024-05-19T04:58:53Z","title":"NetMamba: Efficient Network Traffic Classification via Pre-training Unidirectional Mamba","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.11449","snapshot_observed_at":"2026-08-08T04:38:57.230463Z","title":"NetMamba: Efficient Network Traffic Classification via Pre-training Unidirectional Mamba,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.230463Z"},"links":{"cited_paper":"/paper/2405.11449","citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:07cca7df56148cf57bb829be99be28c423a631af7bd648be5a3d9d7bdf96032e","observation_id":"8227bf3f-a4b5-4af3-8da4-bafa233d5226","resolution":{"observed_at":"2026-08-08T04:38:57.230463Z","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":"2026-08-08T04:38:57.234933Z","title":"A Survey on Data-driven Network Intrusion Detection,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.234933Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:f9341dafb8b2915c391b4a7de6e1059c9fa913ac194aebdf46d8354ecd09f8f1","observation_id":"6a55e648-45ca-41a7-92b9-64d31973c3cd","resolution":{"observed_at":"2026-08-08T04:38:57.234933Z","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":"2026-08-08T04:38:57.239301Z","title":"FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.239301Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:ff2503f136e0dc2ef066174ffd4fb61eb24f9b6b573233986f3c827ddb147f19","observation_id":"b30fa3ac-f416-4b6e-8397-c7ae354fe6ae","resolution":{"observed_at":"2026-08-08T04:38:57.239301Z","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":"2026-08-08T04:38:57.243845Z","title":"Revolutionizing Cyber Threat Detec- tion With Large Language Models: A Privacy-Preserving BERT-based Lightweight Model for IoT/IIoT Devices,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.243845Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:5f5fb387d63d37a480b57d053eff87ab39510c2cc9366f6a79a289fadfde36b8","observation_id":"a4a25c36-38d0-48d4-8d06-bce15f81af59","resolution":{"observed_at":"2026-08-08T04:38:57.243845Z","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":"2026-08-08T04:38:57.248133Z","title":"A Survey on Automated Log Analysis for Reliability Engineering,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.248133Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:863fdb4bbdceef185c62e216bf7f56042951580c519613515c021e794b2583ac","observation_id":"bb2521f3-9afa-4630-bf16-e7d0dda2e205","resolution":{"observed_at":"2026-08-08T04:38:57.248133Z","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":"2026-08-08T04:38:57.252583Z","title":"LogGPT: Log Anomaly Detection via GPT,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.252583Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:8130c39d644e1e47c875a2e66bb91c1f67363d15e3c4459b613e921ac1722e64","observation_id":"06a8824f-4b74-4a50-85ff-a823e53d743f","resolution":{"observed_at":"2026-08-08T04:38:57.252583Z","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":"2026-08-08T04:38:57.256994Z","title":"LogPrécis: Unleashing Language Models for Automated Malicious Log Analysis: Précis: A Concise Summary of Essential Points, Statements, or Facts,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.256994Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:b43ec18e25bc22aa10759916520c365974b6999767c3248ff31e146c3a51b1c4","observation_id":"907e4cec-708f-481c-8096-145f0aeb6839","resolution":{"observed_at":"2026-08-08T04:38:57.256994Z","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":"2026-08-08T04:38:57.261298Z","title":"Network Management Challenges and Trends in Multi-Layer and Multi-Vendor Settings for Carrier-Grade Networks,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.261298Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:fa9d44922e29be5d188ba90a92798907b1ac89a6e55d91014cf353e55ab73995","observation_id":"9a7cfb62-087e-4bfc-9cd0-7139b97094d7","resolution":{"observed_at":"2026-08-08T04:38:57.261298Z","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":"2026-08-08T04:38:57.265686Z","title":"Network Management in the Era of Ecosystems: Systematic Review and Management Framework,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.265686Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:46326ffc674f4f10665f29a14ad12444226ca715a32a8829624d3bbe04cb565c","observation_id":"47d500ff-7800-43af-909b-4fda9e9018c2","resolution":{"observed_at":"2026-08-08T04:38:57.265686Z","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":"2026-08-08T04:38:57.270106Z","title":"A Review of IoT Network Management: Current Status and Perspectives,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.270106Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:e1166944b0f1e5063453766f236de0a8192a9eddf4d34b1f5314e79540ef7941","observation_id":"73d67e7a-dafe-4fc1-90fb-68cbfefbd423","resolution":{"observed_at":"2026-08-08T04:38:57.270106Z","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":"2026-08-08T04:38:57.274698Z","title":"Network Meets ChatGPT: Intent Autonomous Management, Control and Operation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.274698Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:9f0cacd3cedf40a1069e8b26e51d1d9a58197d226060e95089579dd9c29c493a","observation_id":"c0031400-e0a0-4d78-afb6-516aa8845fb1","resolution":{"observed_at":"2026-08-08T04:38:57.274698Z","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":"2026-08-08T04:38:57.279257Z","title":"New Directions in Automated Traffic Analysis,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.279257Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:c883d369354c08e41f6759c1e2568460c72e282585a71a6b25cbec1937da6dc8","observation_id":"b884c2a6-eb6f-4638-9e97-64ceae21c54c","resolution":{"observed_at":"2026-08-08T04:38:57.279257Z","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":"2026-08-08T04:38:57.283868Z","title":"Flowpic: A generic representation for encrypted traffic classification and applications identification,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.283868Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:a486772c3c60cf9e1a761c4c0fd87125cc554fa52948285501c51c3d2d6114b9","observation_id":"bbcc734d-aca5-46ce-901e-f7cfef386657","resolution":{"observed_at":"2026-08-08T04:38:57.283868Z","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":"2026-08-08T04:38:57.288258Z","title":"NetDiffus: Network Traffic Gen- eration by Diffusion Models through Time-Series Imaging,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.288258Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:5fc9e022b648eeb118323cab9a67db1b9cd8dd38bb0d85926c241872a9378c63","observation_id":"ced0bf59-93a3-46ce-8b37-01c94f160773","resolution":{"observed_at":"2026-08-08T04:38:57.288258Z","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":"2026-08-08T04:38:57.292782Z","title":"Multi-Class Network Traffic Generators and Classifiers Based on Neural Networks,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.292782Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:0ac2d29d27dd56f9d8986e593041667d61b38e2458c80bd2a74c86986050cec5","observation_id":"f2284c57-b00d-4046-9ffd-ab888cc10bb3","resolution":{"observed_at":"2026-08-08T04:38:57.292782Z","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":"2026-08-08T04:38:57.297154Z","title":"PAC-GPT: A Novel Approach to Generating Synthetic Network Traffic With GPT-3,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.297154Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:d2dab1bb5f18f6c92b5f14cb3501244c5282a206858aa6683b85323036885582","observation_id":"c97f3a1d-e7dd-4424-b439-96aa27b9be7c","resolution":{"observed_at":"2026-08-08T04:38:57.297154Z","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":"2026-08-08T04:38:57.301285Z","title":"LENS: A Foundation Model for Network Traffic,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.301285Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:993d6bb7eba0c7b2e478405b2970fc9b1fbb3afac8c1f8e3bda869140af4dd19","observation_id":"2d708b62-127a-4c89-b57d-b9c2494445df","resolution":{"observed_at":"2026-08-08T04:38:57.301285Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05822","last_updated":"2024-03-18T05:11:22Z","snapshot_observed_at":"2026-08-11T11:22:57.931978Z","submitted_at":"2024-03-09T07:19:37Z","title":"TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic Analysis and Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05822","snapshot_observed_at":"2026-08-08T04:38:57.305592Z","title":"TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic Analysis and Generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.305592Z"},"links":{"cited_paper":"/paper/2403.05822","citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:e56d576d343fadd24fd34c2a231894fc7ee1e740fe5854b069b52d82529f9879","observation_id":"5fdde5f7-c272-41dc-af2e-459cfcce4760","resolution":{"observed_at":"2026-08-08T04:38:57.305592Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02784","last_updated":"2024-06-04T21:04:34Z","snapshot_observed_at":"2026-07-06T18:25:31.706930Z","submitted_at":"2024-06-04T21:04:34Z","title":"Feasibility of State Space Models for Network Traffic Generation","version":1},"cited_work":{"arxiv_id":"2406.02784","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.02784","snapshot_observed_at":"2026-08-08T04:38:58.142259Z","title":"Feasibility of State Space Models for Network Traffic Generation","venue":"cs.NI","work_id":"2e80b3fb-3334-4129-9273-57b6ba04f827","year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.310047Z"},"links":{"cited_paper":"/paper/2406.02784","citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:00b4b9eeab3abaf13532a5345d59377e6d208281e9766074bfb88a3cba079e4b","observation_id":"e803e287-8863-46dc-b928-5f7384db520a","resolution":{"observed_at":"2026-08-08T04:38:58.147203Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-08T04:38:57.314758Z","title":"NetDiff: A Service-Guided Hierarchical Diffusion Model for Network Flow Trace Generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.314758Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:4f965375e77d8ead816c1173552f5b7d3f06121f4c51cf8cb00d5fb8e4cb2e3a","observation_id":"acb81c6d-c514-4e53-98c7-c1af40b45c33","resolution":{"observed_at":"2026-08-08T04:38:57.314758Z","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":"2026-08-08T04:38:57.319210Z","title":"Lightweight diffusion model for synthe- sizing malicious network traffic,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.319210Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:ceeb7884f03383c96f3c5b257571a43a4424d8753f3fa22c40ea58dd9b3968ca","observation_id":"922a4b3d-bfa3-4157-8407-db8716ab0b03","resolution":{"observed_at":"2026-08-08T04:38:57.319210Z","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":"2026-08-08T04:38:57.323415Z","title":"Bench- marking of Synthetic Network Data: Reviewing Challenges and Ap- proaches,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.323415Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:a561e88693258f38b449284a48dcfbe8185e71095e815ac0bfac887bc2569850","observation_id":"6bc50b0b-4566-4448-b042-f390d66afa57","resolution":{"observed_at":"2026-08-08T04:38:57.323415Z","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":"2026-08-08T04:38:57.327473Z","title":"Imaging Time-series to Improve Classifica- tion and Imputation,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.327473Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:6e2f375ce05d8eccc73b9230eb7c5308ca030dbb2e0bdb5575fd13efe0d16fa4","observation_id":"8cfd78aa-2456-42cb-946f-3b87c6b7a411","resolution":{"observed_at":"2026-08-08T04:38:57.327473Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.17025","last_updated":"2026-05-12T17:50:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-25T22:04:57Z","title":"netFound: Principled Design for Network Foundation Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.17025","snapshot_observed_at":"2026-08-08T04:38:57.331723Z","title":"net- IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, VOL. XX, NO. X, XXXX 2025 30 Found: Foundation Model for Network Security,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.331723Z"},"links":{"cited_paper":"/paper/2310.17025","citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:7019e3dd4990c02190815c775269d305a5bfa28d37acd57f73dfd90da3d06782","observation_id":"f9ac2cc3-6c00-4737-b700-867024c83408","resolution":{"observed_at":"2026-08-08T04:38:57.331723Z","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":"2026-08-08T04:38:57.336536Z","title":"An LLM-based Framework for Finger- printing Internet-connected Devices,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.336536Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:9ef3f6f2cb1e1edfe117338f1e87735f9c84b8a9df577e73dd00850c54eed9ab","observation_id":"9bb7dbb3-206c-4bc0-96a5-c6b2c6e4462d","resolution":{"observed_at":"2026-08-08T04:38:57.336536Z","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":"2026-08-08T04:38:57.340893Z","title":"LAMBERT: Leveraging Attention Mechanisms to Improve the BERT Fine-Tuning Model for Encrypted Traffic Classification,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.340893Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:e0ae064e186d89f5b9db6868c97dc99816f9ab203cca535a6609460b00408e13","observation_id":"3f212d33-3e61-4cc4-8cdb-fbf0df1afc2e","resolution":{"observed_at":"2026-08-08T04:38:57.340893Z","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":"2026-08-08T04:38:57.345170Z","title":"Encrypted Traffic Classification Framework Based on Albert,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.345170Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:fa12b558560b24b96e713476a66b6c9dc1f550539b171153a4ccd3da9a5bb3a7","observation_id":"d65561c1-87ee-471d-a9a2-5bc9d433e793","resolution":{"observed_at":"2026-08-08T04:38:57.345170Z","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":"2026-08-08T04:38:57.349839Z","title":"Intrusion Detection Method using Bi-directional GPT for In-vehicle Controller Area Networks,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.349839Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:615d85e6a60d80aaafe2c26d2ff707a6829706a70dd59db61c2f2670622d9bfc","observation_id":"b31886ab-3265-47a7-a4f6-b2fa32fc4c08","resolution":{"observed_at":"2026-08-08T04:38:57.349839Z","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":"2026-08-08T04:38:57.353977Z","title":"Securing Critical Infrastructures: Deep-Learning- Based Threat Detection in IIoT,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.353977Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:f707e0da84d7d56fd813a9432d3b5ecf9bf872ee9e06fcbc340e7172d785616b","observation_id":"667c795e-2bf5-4367-8c03-31d4a2fb9cbd","resolution":{"observed_at":"2026-08-08T04:38:57.353977Z","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":"2026-08-08T04:38:57.358247Z","title":"An Extreme Semi-supervised Framework Based on Transformer for Network Intrusion Detection,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.358247Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:6eec783264c7c146b88ca7f3dcd3283f2a8c6f96ae5741e566d03e54c08d0fad","observation_id":"402d6f9a-ca0f-4a60-be9d-95c9718e5a2e","resolution":{"observed_at":"2026-08-08T04:38:57.358247Z","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":"2026-08-08T04:38:57.362561Z","title":"An Attack Detection Framework Based on BERT and Deep Learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.362561Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:28164270b4314c08211c3ae4f568a2eef9224ae0dc1b278f8cfd3529cd7382be","observation_id":"640c41cb-54e1-4816-8fe6-22bfa200ba00","resolution":{"observed_at":"2026-08-08T04:38:57.362561Z","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":"2026-08-08T04:38:57.367050Z","title":"Network Intru- sion Detection via Flow-to-Image Conversion and Vision Transformer Classification,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.367050Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:069c1b667187ae0b680e01e781061ec9b0443f2774ee623fb7c780f7fba4461f","observation_id":"7aaf8b26-62c9-4aea-b563-ba739e15b1eb","resolution":{"observed_at":"2026-08-08T04:38:57.367050Z","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":"2026-08-08T04:38:57.371283Z","title":"RTIDS: A Robust Transformer-Based Approach for Intrusion Detection System,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.371283Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:5708f4601d97864854c38514a0b5e69c7a0c219c6e7173a374e2a389ab3bfbd9","observation_id":"b14a66a0-58df-4e57-be6b-57e337aad8b4","resolution":{"observed_at":"2026-08-08T04:38:57.371283Z","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":"2026-08-08T04:38:57.375573Z","title":"A Security Model Based on LightGBM and Transformer to Protect Healthcare Systems from Cyberattacks,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.375573Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:6e829167c97f26697fcd5c630e5ce9e199283f319bf9bdbc911c20257e6908f8","observation_id":"e475969d-a6a9-441c-93e1-f162b995a31b","resolution":{"observed_at":"2026-08-08T04:38:57.375573Z","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":"2026-08-08T04:38:57.379898Z","title":"Intrusion Detection Technology Based on Large Language Models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.379898Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:ac3e4c5fd5e572d61facd4e44b1240fd4af1bbd05a62f2f6c15757dc168f5857","observation_id":"f904cce7-4df4-4b2c-a74a-7b0a4bdfcb90","resolution":{"observed_at":"2026-08-08T04:38:57.379898Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16021","last_updated":"2023-09-27T20:58:13Z","snapshot_observed_at":"2026-07-06T16:24:38.375055Z","submitted_at":"2023-09-27T20:58:13Z","title":"HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16021","snapshot_observed_at":"2026-08-08T04:38:57.384239Z","title":"HuntGPT: Integrating Machine Learning- Based Anomaly Detection and Explainable AI with Large Language Models (LLMs),","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.384239Z"},"links":{"cited_paper":"/paper/2309.16021","citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:41a5847dd1f0d291aa09cd746ff110eff99dffcde4ee09cfde6891619105eac1","observation_id":"629f4756-81ac-4ab6-8d16-88815c2537b5","resolution":{"observed_at":"2026-08-08T04:38:57.384239Z","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":"2026-08-08T04:38:57.388870Z","title":"TNN-IDS: Transformer Neural Network-based Intrusion Detection System for MQTT-enabled IoT Networks,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.388870Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:ad187c7a57cb2d75ae47d07a431cc5018e623cefebd0f3e593b9e03b521559fe","observation_id":"8b789ccb-c12a-421e-aba3-3840148abbe3","resolution":{"observed_at":"2026-08-08T04:38:57.388870Z","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":"2026-08-08T04:38:57.393234Z","title":"Robust Unsupervised Network Intrusion Detection with Self-supervised Masked Context Reconstruction,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.393234Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:4710a694b18ed4fbbe6dd52812ab87ba76159c2079bd300005598e8845459448","observation_id":"2b3163e3-ecba-4b64-868c-af0cc24c7aa3","resolution":{"observed_at":"2026-08-08T04:38:57.393234Z","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":"2026-08-08T04:38:57.397561Z","title":"A Lightweight IoT Intrusion Detection Model based on Improved BERT- of-Theseus,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.397561Z"},"links":{"citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:bc5e66df1013825bb752254cbca72cd367cac58828d849968bc795e114ca5ef9","observation_id":"0440a772-9b21-4548-8471-5b5fb8d6d6f6","resolution":{"observed_at":"2026-08-08T04:38:57.397561Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","latest_version":2,"primary_category":"cs.NI","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":97,"verified_exact":3,"verified_fuzzy":0},"total_outbound_references":190},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 100 of 190 outbound references and 0 inbound Pith citation observations for arXiv:2502.08576."}