{"as_of":"2026-08-23T17:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c9fffdfd9f4dc632fbee19bb034be218904688edcb18d5bd6984ea0a9dd03ab0","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T11:48:10.415409Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+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/1908.08338/citation-record","integrity":"/paper/1908.08338/integrity","json":"/paper/1908.08338/citation-record.json","paper":"/paper/1908.08338"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.905733Z","title":"View on 5G Architecture,","venue":null,"work_id":"fd05c399-6999-4e8f-9525-06a6bd0bfdfb","year":2017},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.270102Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:74769ba2586c641a3526fa434625cad255058bac2e143187c9f26827f1852c58","observation_id":"a34f76d4-6380-4c7e-924f-eeed929b9cda","resolution":{"observed_at":"2026-08-14T11:48:10.910568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.890456Z","title":"What is Network Slicing?,","venue":null,"work_id":"8701603e-1941-41d5-8c60-6cc66d4631e5","year":2018},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.275135Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:1c55ca0550134ec76d4827681968cc61719fd1c0d740dcb916d5ad4aa0b2accb","observation_id":"781741e7-28d1-48a1-bffa-6811cbc425de","resolution":{"observed_at":"2026-08-14T11:48:10.895298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.876450Z","title":"Nokia Claims Network Slicing for the Fixed Network,","venue":null,"work_id":"2c9bcb7f-a52c-4e15-93c7-4a6a1706ae93","year":2018},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.279579Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:5b00c0710e2a2f1663f3981ea6ab8b58fcc1a2069b4136401c86bf08d5b1a74f","observation_id":"51d0ff48-cad5-475a-8c4e-4f1d9ed8337c","resolution":{"observed_at":"2026-08-14T11:48:10.881001Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.862050Z","title":"Service Function Chaining (SFC) and Network Slicing in Backhaul and Metro Networks in Support of 5G,","venue":null,"work_id":"6e01807e-51f8-4926-8916-417d922a3eb9","year":2018},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.284060Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:e1176ad678a89b6a77c85a86ce17231b3f0aee65330213769c408564cfde8941","observation_id":"5faf0561-a669-4bc8-a90f-2e2e7fa4f478","resolution":{"observed_at":"2026-08-14T11:48:10.866687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.847789Z","title":"SON (Self- Organizing Networks) in the 5G Era: 20192030 Opportunities, Chal- lenges, Strategies & Forecasts,","venue":null,"work_id":"a1aa622f-6e22-45e3-a0e4-aa68a40fb46a","year":2018},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.288689Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:6fc7a67a64b94a74cc260eeab1933ed044fabe8bed26a5f08a040d08efe87e00","observation_id":"bc62a512-c765-4b72-a5d0-5572f0f49e8a","resolution":{"observed_at":"2026-08-14T11:48:10.852504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.833523Z","title":"Multi-tenant 5G Network Slicing Architecture with Dynamic Deployment of Virtualized Tenant Management and Orchestra- tion (MANO) Instances,","venue":null,"work_id":"b448c88e-f24a-46e5-8618-3821ddaf0ad3","year":2016},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.293498Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:840e8eedd62cab7b4645d0f89f3722c424f2f09187c1384c8e01638c96c49a06","observation_id":"7037bd9b-b4a5-40fa-808d-93847a405551","resolution":{"observed_at":"2026-08-14T11:48:10.838230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.818738Z","title":"Demonstration of Resource Orchestration Using Big Data Analytics for Dynamic Slicing in 5G Networks,","venue":null,"work_id":"a9a63de7-8123-4731-98e3-4eb434992a4b","year":2018},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.298773Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:e30f92a2e058cc26e2951f4e89de34124aeac60f4bac7d005f02ed13d1bff8df","observation_id":"d8cee41f-a40a-4509-82a3-31132f26fde0","resolution":{"observed_at":"2026-08-14T11:48:10.823632Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.804528Z","title":"Network Orchestration for Dynamic Network Slicing for Fixed and Mobile Vertical Services,","venue":null,"work_id":"958920a4-7cf4-4fe8-9818-d7724c9c11d3","year":2018},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.303104Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:5c6fb9f978d5daaf436a6fb80113aa0b5bc6edbe5ad3746124fc6f1817633013","observation_id":"728abc79-ca47-489f-af0f-fe7cd4931ce8","resolution":{"observed_at":"2026-08-14T11:48:10.809304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.790348Z","title":"Artificial Intelligence (AI) Methods in Optical Networks: A Comprehensive Survey,","venue":null,"work_id":"504b2622-fcfb-48f9-94ee-4ab707627e89","year":2018},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.307455Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:c768e82db38b43d83106b3a1217e79ac2bd9ec237158600a18a8531646621c1c","observation_id":"831d7caf-02fa-497b-b6da-9ce1f784b164","resolution":{"observed_at":"2026-08-14T11:48:10.795382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.776274Z","title":"An Overview on Application of Machine Learning Techniques in Optical Networks,","venue":null,"work_id":"bc770ce2-a88d-4bca-89fa-1eb8859d2e1f","year":2019},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.312283Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:8f2109d33e2874022ad333c0c8abb00554689cdfb1c5949ae8c9816c653643cb","observation_id":"73714f99-7222-4c09-a01b-d36cd74cb658","resolution":{"observed_at":"2026-08-14T11:48:10.780914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.762065Z","title":"Knowledge-Based Autonomous Service Provisioning in Multi-Domain Elastic Optical Networks,","venue":null,"work_id":"ad343823-d257-4029-b8fa-b1c54219e8f4","year":2018},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.317725Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:317babfdacaa8b5ed116c0883335e462bedf0c46b7ec000f5d54e109301d1c7c","observation_id":"ee477802-8f00-4447-8152-fd219001fc4a","resolution":{"observed_at":"2026-08-14T11:48:10.766805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.746713Z","title":"Matheuristic with Machine-learning-based Prediction for Software-defined Mobile Metro-core Networks,","venue":null,"work_id":"c3d8db2d-4db8-44d4-8060-687404e7e50a","year":2017},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.322250Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:1595cfadd792c7523276d3fa1661329463a8b9d09dbf1cde1698aa360018a10f","observation_id":"069c8b06-3bb9-4a1e-badd-24115dcfe5e5","resolution":{"observed_at":"2026-08-14T11:48:10.751501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.732722Z","title":"Virtual Network Topology Adaptability based on Data Analytics for Traffic Prediction,","venue":null,"work_id":"6bbb7692-430f-4bc0-9137-7b38f84fc637","year":2017},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.326719Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:95b4e4d876f9e857d38723ec717b6955cc9d52dfc875e67a745de76b2f8ae26a","observation_id":"b1f55c0c-79a2-4695-84aa-108d00a0e184","resolution":{"observed_at":"2026-08-14T11:48:10.737405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.719014Z","title":"On Learning Bandwidth Allocation Models for Time-Varying Traffic in Flexible Optical Networks,","venue":null,"work_id":"6f846e1c-1a1f-460e-9fe6-42e417e776c9","year":2018},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.331302Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:9609fbd67f31c5d189c64eca99a446d1dc557c2ecf0fd48ede8f7a150cf0f23c","observation_id":"aae319fe-9d61-4b55-a733-5d5abf622213","resolution":{"observed_at":"2026-08-14T11:48:10.723450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.704873Z","title":"A Data-driven Bandwidth Allocation Frame- work with QoS Considerations for EONs,","venue":null,"work_id":"41628684-27ef-4f00-8e6f-309cc9cf6740","year":2019},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.335596Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:6d1d7fcd96e7d951afaf2efe8e54509d50238f8125355199c1724f8310d21354","observation_id":"013eb179-21c9-4fe4-9f57-68f7015a67f3","resolution":{"observed_at":"2026-08-14T11:48:10.709471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.690917Z","title":"Leveraging Statistical Machine Learning to Address Failure Localization in Optical Networks,","venue":null,"work_id":"7ae63363-8c63-4fef-85f0-035d0884b555","year":2018},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.340128Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:4cc1a4bc99e4062d6091c63be6ba0deda6cc7f5137b4424de262fbc705d703d0","observation_id":"1640f9f3-13cd-46f6-af2d-74b48060f7db","resolution":{"observed_at":"2026-08-14T11:48:10.695456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.676792Z","title":"Learning from the Optical Spectrum: Failure De- tection and Identification","venue":null,"work_id":"326870ac-607f-4c2f-aaf7-62639924feda","year":2019},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.344652Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:8e26a8d3836d719d99b0dc87b53f845e19139ed0dac27e756c524005775582c7","observation_id":"df15ca29-e9ed-47e7-bee4-3f8942567e89","resolution":{"observed_at":"2026-08-14T11:48:10.681691Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.662717Z","title":"Machine-Learning-Based Soft-Failure Detection and Identification in Optical Networks,","venue":null,"work_id":"6eaa88ed-c500-4e2c-9fb2-f96512cd0db3","year":2018},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.349385Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:d935c8292c66f4d2534a00a33167e5f50f08fce1ef221c050eebbf3eac7308a2","observation_id":"3f350d75-3bb2-48c6-8de2-dda0b0f9284b","resolution":{"observed_at":"2026-08-14T11:48:10.667459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.648319Z","title":"First Demonstration of Imbalanced Data Learning-Based Failure Prediction in Self-Optimizing Optical Networks with Large Scale Field Topology,","venue":null,"work_id":"e64c5451-1062-4325-9a1d-68ffe50bff2a","year":2018},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.353963Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:6c7430b4fbb9584d3b1ba5abe9b33bcdc65a9969729b97127a39b1dc87b91170","observation_id":"f8dce4b8-dcc0-4abf-9cd9-f00b647377a2","resolution":{"observed_at":"2026-08-14T11:48:10.653411Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.634056Z","title":"Field Demonstration of Machine-Learning-Aided Detection and Identification of Jamming Attacks in Optical Networks,","venue":null,"work_id":"15d99532-afe5-42af-acb7-7bcb293b81a8","year":2018},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.358388Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:c79a3a62da983581d79830fa3193109b8042a212ccf57cbb32afd9c8c1f44bd4","observation_id":"c76bb491-5b9a-4b63-a50d-493d4bd8c477","resolution":{"observed_at":"2026-08-14T11:48:10.638805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.620316Z","title":"Performance Analysis of a Data-driven Quality-of- transmission Decision Approach on a Dynamic Multicast-capable Metro Optical Network,","venue":null,"work_id":"d532e7c6-50c9-4c01-904c-aab0a30f91b7","year":2017},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.362884Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:d653b8202ff3178ec67074ecd95980a9ff4f327c4bc44d9b0e070069eb7d8b10","observation_id":"ae1e83d8-f06a-4d4d-9db1-8f6d7e15f87e","resolution":{"observed_at":"2026-08-14T11:48:10.624901Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.606064Z","title":"Machine Learning for QoT Estimation of Unseen Optical Network States,","venue":null,"work_id":"33f7bd11-11b2-4ce3-88e3-22824675ea84","year":2019},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.367549Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:91a6ed69e236ba3e3077eca11b68e4d91d25f09f29179134e186011c352947ac","observation_id":"0af39092-335e-40e0-944e-76d87777c80b","resolution":{"observed_at":"2026-08-14T11:48:10.610693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.591881Z","title":"Machine Learning Models for Estimating Quality of Transmission in DWDM Networks,","venue":null,"work_id":"45bbfce4-6362-4051-8c19-6a96f9b1df95","year":2018},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.372101Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:1c16917e190a23204f5a173f80c547aa9907db15b6bc2054242eb1a4bcb7a7f3","observation_id":"2c8ae6ef-4abb-41fb-8065-d127535baf48","resolution":{"observed_at":"2026-08-14T11:48:10.596556Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.578157Z","title":"Supervised Machine Learning Techniques for Quality of Transmission Assessment in Optical Networks,","venue":null,"work_id":"0409a248-4fc4-4939-bd9b-0088c885ce11","year":2018},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.376354Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:ccac90d17e70d1e14477037f966acdcf386493468f90c5acaa1b8f236649c577","observation_id":"8f062039-6f7e-4428-b4cf-9248e91d3732","resolution":{"observed_at":"2026-08-14T11:48:10.582634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.564437Z","title":"Machine-learning Method for Quality of Transmis- sion Prediction of Unestablished Lightpaths,","venue":null,"work_id":"27d48a9c-0670-4c8f-b706-285c9dd8463e","year":2018},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.380624Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:8b35f8d4e80affae5645ac2bd15a383d61c1b64d6795866288691809afed380f","observation_id":"050af564-81c2-44b3-8a80-193e304cf7ab","resolution":{"observed_at":"2026-08-14T11:48:10.569126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.550370Z","title":"Service Level Agreement and Provisioning in Optical Networks,","venue":null,"work_id":"a7b9f0f9-c567-4f13-a779-bb78cb01f4ca","year":2004},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.384874Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:997c17dfb8503e3fd3d1ce5e5d534bb749cb3b7fcacf3c7368d3245df45cace2","observation_id":"b8686386-0a5c-4714-be05-26125443f436","resolution":{"observed_at":"2026-08-14T11:48:10.554984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.536933Z","title":"Data-driven Network Analytics and Network Optimisa- tion in SDN-based Programmable Optical Networks,","venue":null,"work_id":"4eb11fe7-cda5-4449-ba04-3628e21bd247","year":2018},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.389180Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:89f033aa5e61ba8b7aa7701c1a0c0facd55eefe7799ee6e160471659b90f8baa","observation_id":"dfc93501-4569-434e-b45d-7fec1459fee0","resolution":{"observed_at":"2026-08-14T11:48:10.541550Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.522147Z","title":"Section 24.3: Dijkstra’s algorithm","venue":null,"work_id":"4a4e9024-0955-45db-8ed8-f9da9cc52713","year":2009},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.393572Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:251c4cfe18cd170b875d386fd48d64fa88ddab5d196aa02ca30f1a095ac4d0b6","observation_id":"f59e9c09-7270-4dd9-80b9-6b5842842a62","resolution":{"observed_at":"2026-08-14T11:48:10.527086Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.506797Z","title":"Physical-Layer-Aware Performance Evaluation of SDM Networks Based on SMF Bundles, MCFs, and FMFs,","venue":null,"work_id":"b38ef338-6b02-4af0-b25b-17c4ff4e7c0a","year":2018},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.397872Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:bf7c6a9c8d5ec67e5c701a1bc8306fc64a9c8846d8dfc3986f693c907013aa7c","observation_id":"0de987f3-727f-43be-8b53-0fc17fc3976f","resolution":{"observed_at":"2026-08-14T11:48:10.511596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.492001Z","title":"Experimental Demonstration of Cognitive Provi- sioning and Alien Wavelength Monitoring in Multi-domain EON","venue":null,"work_id":"c5cf8cbb-1cc4-4301-a5e1-03dbc7fb188b","year":2018},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.402504Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:a9df226ff79f55b9cd810859edb9c810e1d9f3ae7f783885363b03ead034d063","observation_id":"886d8525-6895-4632-94ff-f07044ad7dfb","resolution":{"observed_at":"2026-08-14T11:48:10.497178Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.477185Z","title":"ANN-Based Transfer Learning for QoT Prediction in Real-Time Mixed Line-Rate Systems,","venue":null,"work_id":"9e5892b2-9ba4-483c-a164-a1f6a41be882","year":2018},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.406811Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:2793fdc456cc9a4240a382897304f8ef70df6c7b1a93d528a3c59efe0bbae999","observation_id":"a2aa180c-557b-4ab9-820f-62bdcd1139a5","resolution":{"observed_at":"2026-08-14T11:48:10.482094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.462640Z","title":"Using Active Learning to Decrease Probes for QoT Estimation in Optical Networks,","venue":null,"work_id":"57d57e78-22a0-42a6-9604-419dd908edc9","year":2019},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.411127Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:9f4885032c8d941e12868ac80e4ef8a7d9e01d601157434ecfa9bb69226966c0","observation_id":"aabb0ffe-4403-42f8-bf09-7d11664a5ed6","resolution":{"observed_at":"2026-08-14T11:48:10.467447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:48:10.445602Z","title":"Adam: A Method for Stochastic Optimization,","venue":null,"work_id":"abe1abdd-a2e9-4623-998e-26114afe7ead","year":2015},"citing_paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T11:48:10.415409Z"},"links":{"citing_paper":"/paper/1908.08338"},"observation_digest":"sha256:99bcab34c86708a4069f53d0a673a36ec36d34fee69d775c133043e339ba6147","observation_id":"6f3b3163-f4bb-41c9-b352-46d0e1c38e5c","resolution":{"observed_at":"2026-08-14T11:48:10.451949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.08338","last_updated":"2019-09-27T11:22:57Z","latest_version":2,"primary_category":"cs.NI","snapshot_observed_at":"2026-08-14T11:39:17.257257Z","submitted_at":"2019-08-22T12:38:54Z","title":"Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":33},"total_outbound_references":33},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:1908.08338."}