{"as_of":"2026-08-07T23:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ba852d014ee69edd14e06cbe6ccf3e416ad4a8ab95907800cff070286c74f1b9","coverage":[{"denominator":55,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":55,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T16:48:09.165669Z","state":"measured"},{"denominator":55,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":55,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2509.00057/citation-record","integrity":"/paper/2509.00057/integrity","json":"/paper/2509.00057/citation-record.json","paper":"/paper/2509.00057"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.987432Z","title":"Heterogeneous transmis- sion of analog radio and digital coherent signals over multispan metro and pon for bandwidth-efficient fronthaul in mmwave centralized rans,","venue":null,"work_id":"d7a51056-80c3-423f-8077-06284d87f726","year":2025},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:08.932859Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:98cb9933febf767f4a8f48811c99c71ac5dada00a7e842eecb1a1ff16915f6bf","observation_id":"b65b9e02-861e-4880-b8d8-f51e00966e1f","resolution":{"observed_at":"2026-08-05T16:48:09.992542Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.973325Z","title":"Pca-assisted clustering approaches for soft-failure detection in optical networks,","venue":null,"work_id":"1c17faae-16bb-451a-9fa5-48c86d317706","year":2025},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:08.937751Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:cf9e10e79d51ada70917eaf1d1e1b90937267c1fa0641ef8472c32ee2e19d4ec","observation_id":"77c1f9f4-0e43-4d7e-a9d0-3a8a04d88562","resolution":{"observed_at":"2026-08-05T16:48:09.977690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.959423Z","title":"A review of machine learning-based failure management in optical networks,","venue":null,"work_id":"1ab7ed05-b6a1-4580-b66b-4ca139055d82","year":2022},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:08.942116Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:1c6a6081da7154f552f3ede074596eb162bd71ef111d2061cde0049f5d72aa25","observation_id":"62b80fa8-a5fe-4ffc-9a88-db8f26b912b7","resolution":{"observed_at":"2026-08-05T16:48:09.963619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.945395Z","title":"Failure management in optical net- works with ML: a tutorial on applications, challenges, and pitfalls,","venue":null,"work_id":"29e4f6e9-767c-4ce5-8c78-314268df8267","year":2025},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:08.947172Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:b0c0e0b3a9a73be29decdc0b1be42fe92e7d01635d7bdcf2216823f2ecda46b2","observation_id":"845ebc03-1024-4447-8c75-e1f7eb917da3","resolution":{"observed_at":"2026-08-05T16:48:09.949780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.931068Z","title":"Failure management overview in optical networks,","venue":null,"work_id":"dd0ab9d7-cc59-4d0c-a903-9f599a9a3ab4","year":2024},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:08.952196Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:71b0d1d413d06893665c33895878de817a051c6b29eed1172e2f63b2ccf9cf38","observation_id":"3cc842d2-0944-433a-9363-b05c563645cd","resolution":{"observed_at":"2026-08-05T16:48:09.935622Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.912441Z","title":"Alarmgpt: an intelligent alarm analyzer for optical networks using a generative pre-trained transformer,","venue":null,"work_id":"6ee9f985-626f-4131-881a-3ab99e4e36fe","year":2024},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:08.956770Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:c0e1655975f749ddb656793b784e6c9e3f191f9598056f23003950de242173b0","observation_id":"b8cad831-c9a1-4401-8211-45e48bf62343","resolution":{"observed_at":"2026-08-05T16:48:09.917409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.898279Z","title":"A tutorial on machine learning for failure management in optical networks,","venue":null,"work_id":"8cc5c9a0-066e-4aa9-982b-34a1fd8e9443","year":2019},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:08.962127Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:6b87a9e0ec772b8ecd6ab7665704e5be1f5e54bcce405082839cfb2d7a459e6e","observation_id":"c27e5052-dbef-4448-95c2-e62176f94569","resolution":{"observed_at":"2026-08-05T16:48:09.903042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.884112Z","title":"Datasets for qot estimation in SDM networks,","venue":null,"work_id":"5e801567-cc57-489b-8760-faf703aaf585","year":2025},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:08.966390Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:a5476dcb7eae78fbeec787e56b225c7dcb5c2dbcea1aeea82bd101dbf2a20b58","observation_id":"5a4798ee-2160-48f6-9c48-a7db42b74883","resolution":{"observed_at":"2026-08-05T16:48:09.888232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.869953Z","title":"Open-source data for qot estimation in optical networks from Alibaba,","venue":null,"work_id":"eceef23b-d61c-4836-9f3c-7ab0c6163548","year":2023},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:08.970746Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:997a6c2e764ab540ba6031397e9090056a45eb86a2348f56700cdf4b49bda5a0","observation_id":"749714c5-678c-49f0-892a-5561014d542c","resolution":{"observed_at":"2026-08-05T16:48:09.874456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.852329Z","title":"Experimental dataset for developing and testing ML models in optical communication systems,","venue":null,"work_id":"3053a9ee-c743-48ef-a075-ff2509c41608","year":2024},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:08.974662Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:0ca722416a71797020b7892198b83dcff762008552fc364b7347d56da946f709","observation_id":"c2f26b9c-5387-4e94-ac75-c98ea01a7ec3","resolution":{"observed_at":"2026-08-05T16:48:09.857574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.835827Z","title":"ML-assisted qot estimation: a dataset collection and data visualization for dataset quality evaluation,","venue":null,"work_id":"75e10da3-5254-4851-8b73-701326059177","year":2021},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:08.978700Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:1567caae70e6e8148852872214d305df4ebd56457694b45b691e9f32470f4428","observation_id":"10c90534-d231-4602-8025-88db79ad5cbb","resolution":{"observed_at":"2026-08-05T16:48:09.840876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.821619Z","title":"Addressing data scarcity in ML- based failure-cause identification in optical networks through generative models,","venue":null,"work_id":"3e04606d-0eb7-44c5-aa2e-c33f0910c57a","year":2025},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:08.982731Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:add3fec45cfcf3e8a084c538654a0696768c12aad839fb83af3c253496c160f5","observation_id":"b9f62ef0-e837-4108-ad1d-c76ca7eac169","resolution":{"observed_at":"2026-08-05T16:48:09.826246Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.805642Z","title":"Data augmentation to improve performance of neural networks for failure management in optical networks,","venue":null,"work_id":"846af8c4-d87b-4c8d-a279-de55b6f46738","year":2022},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:08.986824Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:21deba2d96e8933d4201b083daa6e68959a0dce9d558c6304a6396dac1e3f262","observation_id":"b3b18f30-5d6d-4040-bf96-b45f1e09b22d","resolution":{"observed_at":"2026-08-05T16:48:09.810100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.791733Z","title":"A GAN based soft failure detection and identification framework for long- haul coherent optical communication systems,","venue":null,"work_id":"8ba12ddb-8234-4da1-9ecc-04f732cb5efd","year":2023},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:08.990825Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:b90c7a17b78b44ec1b60d8aa2665ea5eb71877661c92da5303dbf0fca4a4260b","observation_id":"46363c73-9bb7-4f92-9e4a-2516f1aecfbf","resolution":{"observed_at":"2026-08-05T16:48:09.795972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.778593Z","title":"Data augmentation to reduce computational complexity of neural- network-based soft-failure cause identifier,","venue":null,"work_id":"e451ea7b-76e7-42f3-acc2-c06ccb428fc0","year":2023},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:08.994633Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:feffe479eee6c77ee912d5e46e7630f2c55892d750a1606c28f4bebac35eacd6","observation_id":"2a8b9d30-dd69-4a58-84ed-3f95e70246d3","resolution":{"observed_at":"2026-08-05T16:48:09.782688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.764405Z","title":"The potential of data augmentation for failure management in opti- cal networks,","venue":null,"work_id":"769500b1-d759-4ca9-9037-7e6a9847540b","year":2023},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:08.998397Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:62700cb56598ba70e81842a52f176f5659054deb409eb1ebef843ab141942401","observation_id":"eddbc218-8ea7-4c7e-ad64-6ae7a35a56a0","resolution":{"observed_at":"2026-08-05T16:48:09.768906Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.751097Z","title":"Monitoring data augmentation of spectral information using VAE and GAN for soft-failure identification,","venue":null,"work_id":"d5b3cf19-3426-488c-b49c-79f26c9c3e65","year":2024},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.002805Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:3dbdb3d5d69847a6b124f72ee4b17ed536059616114db760a8a443454ccea1bc","observation_id":"bd3f6d3c-b0a8-44d2-82c2-d98692c410be","resolution":{"observed_at":"2026-08-05T16:48:09.755486Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.737245Z","title":"Failure data augmentation for optical network equipment using time-series gen- erative adversarial networks,","venue":null,"work_id":"b5abfa66-4678-41f5-aa4b-2c7581fd2d70","year":2023},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.006808Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:387191e955c413aa50ba155912c35ac4b4137f61c3daf74673ff79ad385b1ac5","observation_id":"edc2c6d1-3ae1-492e-8ca9-42b680175687","resolution":{"observed_at":"2026-08-05T16:48:09.741655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.723583Z","title":"Application of ML al- gorithms for prediction of the QoT in optical networks with imbal- anced and incomplete data,","venue":null,"work_id":"9c7d802c-33af-4db3-ba80-c57821b903cc","year":2021},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.010848Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:f2070e23917b57206517652fc75c76476b3a4a4de452b522b35bcc5c4d6f4b2e","observation_id":"9bee3ee5-f2a3-4249-ad5a-fddfeb2b6d77","resolution":{"observed_at":"2026-08-05T16:48:09.727933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.710090Z","title":"A Stacking En- semble ML-Based Failure Prediction Model for Optical Networks with Imbalanced Data,","venue":null,"work_id":"22a9b291-8038-4769-ae76-2b0e4ebb2780","year":2023},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.014854Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:30e40018606256343f08350cfef8546232450572b9f63107a9881df9f794c204","observation_id":"d62ff93c-ad64-4c25-aeba-2dd752ee2662","resolution":{"observed_at":"2026-08-05T16:48:09.714298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.696611Z","title":"Model and data-centric machine learning algorithms to address data scarcity for failure identification,","venue":null,"work_id":"95774edd-8029-40e6-b415-4d1bf61d04b5","year":2024},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.019340Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:40d3fa0d14969a257816cab5224e662fea41522018579cfa2971419236bb1de5","observation_id":"504cd098-3b8b-4c9b-8487-7bf00adc1769","resolution":{"observed_at":"2026-08-05T16:48:09.700750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.683028Z","title":"Shap-assisted ee-lightgbm model for explainable fault diagnosis in practical optical networks,","venue":null,"work_id":"4118ff3e-a432-45d2-9994-ef87db60d91d","year":2025},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.023333Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:45e119a6030c70f3d39d6d3616247e2f05f7c4f64bfaeec1673df836bb5f196a","observation_id":"393c4839-5961-4366-b431-42b1804082af","resolution":{"observed_at":"2026-08-05T16:48:09.687210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.669279Z","title":"Survey on machine learning biases and mitigation techniques,","venue":null,"work_id":"f3c1fbd8-7700-4948-90fd-a7dfcce451d8","year":2023},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.027369Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:b27d244d192e59534cd2ad0c80f5281c791b35605255f7f193d07e9095b0577d","observation_id":"0477928f-a0f7-4e92-8f15-5860db22c65f","resolution":{"observed_at":"2026-08-05T16:48:09.673482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.655675Z","title":"Bias mitiga- tion for machine learning classifiers: A comprehensive survey,","venue":null,"work_id":"7eff9ee2-b472-4013-ad06-bfba9baa7adf","year":2024},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.031710Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:870a7487753fb14498c829df35241bfbc1e2df7ca01c594c8c27d070fbd4edbe","observation_id":"4a920f2a-2365-4cd4-a3c6-f9e98affd1d0","resolution":{"observed_at":"2026-08-05T16:48:09.660144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.642245Z","title":"Rwo-sampling: A random walk over-sampling approach to imbalanced data classification,","venue":null,"work_id":"e34cd6a0-5653-466d-8ea2-89e590796324","year":2014},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.035797Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:4c02cfbd8ed71bbf48dcab2088f1182e6d0d4e462fa23f9538fc4df07b232b5b","observation_id":"cfc05fab-a685-4c95-b747-8f2c0b07bfba","resolution":{"observed_at":"2026-08-05T16:48:09.646444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.628163Z","title":"Smote: synthetic minority over-sampling technique,","venue":null,"work_id":"a2d884a1-55bd-439e-a38f-d0e98b496e83","year":2002},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.040177Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:9383c75033b77f1c18f1d9b37c4fbd9426eae0d9bb9759d0a7677763fb39260d","observation_id":"c6459be8-bbc2-499b-9ebb-af512df2486b","resolution":{"observed_at":"2026-08-05T16:48:09.632714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.613259Z","title":"K-nearest neighbour classifiers-a tutorial,","venue":null,"work_id":"a41ea512-0cf4-4e4e-88dc-6c8f0fe4816e","year":2021},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.044565Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:9b9e4c946e1fae42a5558ec809585b47f2e2fcc08b1a7a636040296b22cb531d","observation_id":"b4e33e9a-f746-48cf-9181-e3ad260055c7","resolution":{"observed_at":"2026-08-05T16:48:09.617659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.598482Z","title":"Adasyn: Adaptive synthetic sampling approach for imbalanced learning,","venue":null,"work_id":"033bb61b-3cc3-4942-89b2-5c76497f4fc2","year":2008},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.048533Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:a16b343fdac99c055059363966540a99207110430ee94972329267b3685feedb","observation_id":"0f32f7c0-448e-4c1d-b9af-d572a0fcbc0a","resolution":{"observed_at":"2026-08-05T16:48:09.602850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.584812Z","title":"The effects of random undersampling with simulated class imbalance for big data,","venue":null,"work_id":"300ab3fe-4c8c-4e98-9dfa-22e2df51d58b","year":2018},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.053081Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:c90c080bd077e94fc94b836d9e042624d46703d9036d8f9154c485976d4da30f","observation_id":"4753badc-d5fe-4cff-95d0-cee170aff22a","resolution":{"observed_at":"2026-08-05T16:48:09.588942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.571168Z","title":"Clustering-based undersampling in class-imbalanced data,","venue":null,"work_id":"63e75fda-72dc-4a38-b435-eb4b021d175d","year":2017},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.057146Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:b454b19757be624c4bed6ce1f6014cd4bc4466644eac4c8a6cb6a3a8f5cd85b5","observation_id":"d55dcdbf-48e0-4b74-95ca-80c400aa9f8c","resolution":{"observed_at":"2026-08-05T16:48:09.575378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.557875Z","title":"Unsupervised k-means clustering algo- rithm,","venue":null,"work_id":"6fd82648-b927-4e55-8eba-0b8d58fbf3de","year":2020},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.061051Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:e2274e078266993ffcb3c86ce18ddc3c240339070deb50887d55cd16c0935711","observation_id":"18176e2b-1f62-4f0f-8d46-99fd81dd2c00","resolution":{"observed_at":"2026-08-05T16:48:09.561982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.544046Z","title":"A study of the behavior of several methods for balancing machine learning training data,","venue":null,"work_id":"bacb1480-7078-4fd1-90a2-6b9d1c64edc2","year":2004},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.065497Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:d14080567c46a0dff9fb8bd0df9c00d10c4998c74ecbb94abd6d422d82a85c91","observation_id":"f93629dd-71ba-47ed-b67f-a508cef73838","resolution":{"observed_at":"2026-08-05T16:48:09.548737Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.530858Z","title":"Two modifications of CNN,","venue":null,"work_id":"477e7203-41a0-4e3f-b2f2-4311fc9b4f0b","year":1976},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.070785Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:bdb20dc5583f3dc7b766da75d6a86df413ece8baa60424b98f95cf7ffa5a4204","observation_id":"b94a0687-4e61-4b2e-8991-c402288b734e","resolution":{"observed_at":"2026-08-05T16:48:09.534846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.517780Z","title":"Generative adversarial nets,","venue":null,"work_id":"a55d67f5-6c5b-43be-a36c-040335d6334c","year":2014},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.074899Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:3d8cfde475d2f3a266da8b0247384750e6f62b9a5f4116f03a55d96b147056b5","observation_id":"ba60aafe-d38d-49bd-936f-3be5142709d5","resolution":{"observed_at":"2026-08-05T16:48:09.521752Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.504135Z","title":"Generative adversarial networks (GANs) chal- lenges, solutions, and future directions,","venue":null,"work_id":"7016843a-2e19-4189-aa04-41253171b0a7","year":2021},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.078820Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:3940d6d39e36a8ae45705be8407966c2f31d5037893d4b34767026af1588a584","observation_id":"1f685d06-d5b4-487f-aaf4-d92e881eb4a9","resolution":{"observed_at":"2026-08-05T16:48:09.508572Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.00503","last_updated":"2019-10-28T02:13:06Z","snapshot_observed_at":"2026-07-06T08:03:56.215960Z","submitted_at":"2019-07-01T00:11:32Z","title":"Modeling Tabular data using Conditional GAN","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.00503","snapshot_observed_at":"2026-08-05T16:48:09.082750Z","title":"Modeling tabular data using conditional GAN,","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.082750Z"},"links":{"cited_paper":"/paper/1907.00503","citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:10c8308d3762a718df859e420b3314febda4019d385464ad458e9b30bd41ecd0","observation_id":"921756de-522c-40d3-a4c4-60d45b71a7b4","resolution":{"observed_at":"2026-08-05T16:48:09.082750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.490556Z","title":"Wasserstein generative ad- versarial networks,","venue":null,"work_id":"27608046-859f-4fc1-a208-1c683a0a7502","year":2017},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.087556Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:1fd33d81a960bce98f50d6fc30d99ffe0ec46d9ad954ee5d2c381c7ea0a6d553","observation_id":"32c37355-03b3-4e49-8dfb-8e78abc046f0","resolution":{"observed_at":"2026-08-05T16:48:09.494816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.466851Z","title":"Auto-encoding variational bayes,","venue":null,"work_id":"1f686f1c-8ee4-4b62-8405-197c6b480930","year":2013},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.092995Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:61b23fd1dead820e5a465221fbc898c5843d2f6c422a272fb7486a498edb0e86","observation_id":"46600cfe-4c3e-4438-98c7-7f124aaa7239","resolution":{"observed_at":"2026-08-05T16:48:09.471385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1606.05908","last_updated":"2021-01-03T16:56:46Z","snapshot_observed_at":"2026-08-04T06:56:29.565877Z","submitted_at":"2016-06-19T21:02:30Z","title":"Tutorial on Variational Autoencoders","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.05908","snapshot_observed_at":"2026-08-05T16:48:09.097268Z","title":"Tutorial on variational autoencoders,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.097268Z"},"links":{"cited_paper":"/paper/1606.05908","citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:e47f38304352dc904c34fc6e883f8c3cc381fc16b66d90b197258fb2f231fa2c","observation_id":"00a2132b-2011-43a9-8fcb-236499454f9f","resolution":{"observed_at":"2026-08-05T16:48:09.097268Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.452915Z","title":"Class weighting technique to deal with imbalanced class problem in machine learning: Methodological re- search,","venue":null,"work_id":"ac6009fe-a3ce-4568-a54b-5194ef4ce68f","year":2023},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.102562Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:934b8792a1d1b11595e04504c71f3a4fc2031d99b4c43dd21907a1b3ccbebdc3","observation_id":"04e6c399-a0f9-4dfe-905b-6afff8a0e656","resolution":{"observed_at":"2026-08-05T16:48:09.457188Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.439522Z","title":"Focal loss for dense object detection,","venue":null,"work_id":"fa4e82c6-db4f-49d6-b1f0-f7a8f36860b3","year":2017},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.107258Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:3c9b6650cd29f03728a5d968ddb7473c1ee2d47e6e1ddf10210771f18c50d898","observation_id":"5397e07d-55a9-4a4a-81cb-ca3202bc454c","resolution":{"observed_at":"2026-08-05T16:48:09.443790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.425584Z","title":"Ensemble learning: A survey,","venue":null,"work_id":"e5b2a679-d734-47a0-aebd-0aec29a7a27c","year":2018},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.111361Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:6a9c21bf1fb69eb7bab808848c2f4a3b41b38c0a17fd1c977a89c75436f0272b","observation_id":"612a51d0-1be8-495c-a2fe-4c5838392655","resolution":{"observed_at":"2026-08-05T16:48:09.430377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.411410Z","title":"Exploratory undersampling for class- imbalance learning,","venue":null,"work_id":"f2d9db2d-56c6-4089-a29c-9e542beacee8","year":2008},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.115461Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:8d9409d80e68df6216f575a578111d5b08abb980fc61b6bd2d3481b9ee745405","observation_id":"1d7857a3-2e75-4975-9309-5b19d35c8f58","resolution":{"observed_at":"2026-08-05T16:48:09.415535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.397514Z","title":null,"venue":null,"work_id":"ff2f58f8-d6c6-40b3-aa56-c25dd02ac851","year":2004},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.119360Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:542e9ac542c37d50a2ea68669e1b1daf0150fae5064a8a06e733c9583b631438","observation_id":"f9aca525-1475-41cd-be23-c11137328b70","resolution":{"observed_at":"2026-08-05T16:48:09.402007Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.383187Z","title":"Advances and challenges in meta-learning: A technical review,","venue":null,"work_id":"04fe627e-5c54-4f10-903c-7f490b072898","year":2024},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.123984Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:07375426181d2b32c509b71cfc58fca1405183f47a997730c2cb9654e57aa16e","observation_id":"f2a933c8-d8ef-44e2-95bc-d568cd809b85","resolution":{"observed_at":"2026-08-05T16:48:09.387530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.368145Z","title":"Finding the best classification threshold in imbalanced classification,","venue":null,"work_id":"6009e9d3-6b0e-47a2-be4f-3b0823811631","year":2016},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.128421Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:471e0fcf863bd3f83e449d74bc76070d0d5db5b77817da22eb9d04edb5d3d776","observation_id":"7cd41b97-3acc-4921-89b2-b100ae7c56aa","resolution":{"observed_at":"2026-08-05T16:48:09.372963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.353767Z","title":"Cost-sensitive learning for imbalanced medical data: a review,","venue":null,"work_id":"3f1fc5e8-e506-4d20-8f55-eb481c4cd6bc","year":2024},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.132632Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:fa63c665086438b224afbbae1c7e2f9259109de3a529f39d0d35325979344d7b","observation_id":"f7bb14e0-34c3-4b4b-911d-ce3cef14fcb9","resolution":{"observed_at":"2026-08-05T16:48:09.358321Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.339320Z","title":"Calibration of probabil- ities: The state of the art,","venue":null,"work_id":"fa9ca0ee-0097-45ea-a40b-95a3a2bfc1bf","year":1975},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.136566Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:ddf547cf9101f4de29ee04d8a36fad5b852d7734d0fd058f521037e866738596","observation_id":"4196e7cc-8fdf-480c-a0f5-a2ff48675dde","resolution":{"observed_at":"2026-08-05T16:48:09.343587Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.325521Z","title":"Probabilistic outputs for support vector machines and compar- isons to regularized likelihood methods,","venue":null,"work_id":"930c78b8-368d-4336-a18e-abfd78eb8114","year":1999},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.140755Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:9ee42a5686e04687e7bee18f3d4e01d4b66781c7ec4ad9671adb838f9397080d","observation_id":"567b9867-4701-4220-b4b9-b515b81831c3","resolution":{"observed_at":"2026-08-05T16:48:09.329995Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.309949Z","title":"Transforming classifier scores into accurate multiclass probability estimates,","venue":null,"work_id":"0a71d32e-beed-4235-9459-4e478ae92bc8","year":2002},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.144908Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:b2f2c01706a777f97f0de6bbb5dc2a54ced90595f80861597aee9704f51dd6f5","observation_id":"ed4eaf38-fe41-451e-bfee-0f02ec447c1f","resolution":{"observed_at":"2026-08-05T16:48:09.315030Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.294787Z","title":"Predicting good probabilities with supervised learning,","venue":null,"work_id":"09720153-570c-450b-b078-5b0d3adc6f40","year":2005},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.149350Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:85cbce5d37bd4afc73f35cfcb3efe9d911035562506de5323bdee41e0d5ff602","observation_id":"2cd3f42b-d216-46f4-8ef9-940940d3671c","resolution":{"observed_at":"2026-08-05T16:48:09.299282Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.280327Z","title":"Learning long-and short-term temporal patterns for ML-driven fault management in optical communication networks,","venue":null,"work_id":"813b8bb6-e957-44a2-b859-cc323cf2bf60","year":2022},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.153445Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:a397c4b4ea07a326239d3ba3974ae3580cb8e7e245b3da834760581481858865","observation_id":"dc6b860c-5530-463f-babb-607ac491cfe3","resolution":{"observed_at":"2026-08-05T16:48:09.284786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.265351Z","title":"Principal component analysis: a review and recent developments,","venue":null,"work_id":"dcf4b8d2-0dc8-4834-9483-f8ad602533f0","year":2016},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.157771Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:4db5bf34815554387052a540cf42e633741d6f4978e87bca5296bd2b38559f4a","observation_id":"4b18e9d1-504f-4480-9aaf-e4625c133351","resolution":{"observed_at":"2026-08-05T16:48:09.269872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.250133Z","title":"Adaptive feature selection through fisher discriminant ratio,","venue":null,"work_id":"068792b0-4e97-4dea-9571-dd82db64c3ff","year":2019},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.161726Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:4c1bade15117233b75ea324e0e3d7443831704268fb4a6d5320080f293183325","observation_id":"13f7629b-c4c2-4648-8edd-0a238f0f3987","resolution":{"observed_at":"2026-08-05T16:48:09.254588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:09.233031Z","title":"Scikit-learn: Machine learning in python,","venue":null,"work_id":"1000d005-678c-4078-8900-69c1c8f5d403","year":2011},"citing_paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:09.165669Z"},"links":{"citing_paper":"/paper/2509.00057"},"observation_digest":"sha256:31f6e364a0c339080bceb2ac554e0bc02760932b992f3ee3eee9fa3043e0386c","observation_id":"4bc2cf47-f41f-45a6-bf1b-a642b7a06a5b","resolution":{"observed_at":"2026-08-05T16:48:09.239868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.00057","last_updated":"2025-08-25T09:50:51Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-05T16:47:59.544628Z","submitted_at":"2025-08-25T09:50:51Z","title":"From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis"},"reference_resolution":{"displayed":55,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":52},"total_outbound_references":55},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2509.00057."}