{"as_of":"2026-08-17T21:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0b8f19ac58e3c292afacbfb8d78f2657e29568bad02ec0fb605b9c687b76e046","coverage":[{"denominator":52,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":52,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T05:24:16.215624Z","state":"measured"},{"denominator":52,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":52,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/1909.01520/citation-record","integrity":"/paper/1909.01520/integrity","json":"/paper/1909.01520/citation-record.json","paper":"/paper/1909.01520"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T05:24:16.889496Z","title":"Memory retention–the synaptic stability versus plasticity dilemma","venue":null,"work_id":"53c3a2d6-2a72-4b38-8d95-06545d013a58","year":2005},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:15.992030Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:2476091b2c7eebf44759ec2b40c63690e8d1344fd84917523d5762821dfecbf7","observation_id":"dab32669-637e-4316-ad01-237b06a23747","resolution":{"observed_at":"2026-08-14T05:24:16.894952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.878883Z","title":"On demand classiﬁcation of data streams","venue":null,"work_id":"f6f5b829-d1cf-4f1a-aaff-ea9a5439d01f","year":2004},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:15.996822Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:e54345d7789f654ad6fce71d2198cb070c8c2a94715abeb892064c6fa87f1bb2","observation_id":"1836d242-552c-4a3d-95c0-4d7a38f69220","resolution":{"observed_at":"2026-08-14T05:24:16.882418Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.868220Z","title":"Memory aware synapses: Learning what (not) to forget","venue":null,"work_id":"7cc04bb5-9476-489f-be3d-392f0e733f72","year":2018},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.000858Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:eb39e889e4d2873ea8bc39c03575180789eba3add6a8dce6a4c616b2e686572d","observation_id":"820f6f2f-4300-42c6-a08a-32fd8f047309","resolution":{"observed_at":"2026-08-14T05:24:16.871786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.857162Z","title":"Adaptive learning from evolving data streams","venue":null,"work_id":"3802db75-3b90-4223-bbf3-6b8944fcaaa9","year":2009},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.005346Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:6ce30a3fcf3e0526f9dfc144d5b76b741655feaa51424b515da0eff8ef45e142","observation_id":"a4c13dba-a581-4d8f-916f-d9542aa55302","resolution":{"observed_at":"2026-08-14T05:24:16.860958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.847343Z","title":"New ensemble methods for evolving data streams","venue":null,"work_id":"56c67d67-0876-46a1-baff-f2738e50e83b","year":2009},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.009883Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:ab2ce02a17efc0031eb2d2791b1b60a8ca7a7c94474e4f5031feb1d1f73694d8","observation_id":"22611c44-3773-4956-8811-d6cb7250563e","resolution":{"observed_at":"2026-08-14T05:24:16.850862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.835783Z","title":"Reacting to dif- ferent types of concept drift: The accuracy updated ensemble algorithm","venue":null,"work_id":"94c690d4-db77-4a42-986a-6ecc98d08804","year":2014},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.014502Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:9545a9dcdb644305b09edc47757aa03ac554b5d2f625b6f1b9e0a4a10d938110","observation_id":"592e897f-112e-430c-86db-b1c1bd7275e3","resolution":{"observed_at":"2026-08-14T05:24:16.839590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.825291Z","title":"Fuzzy artmap: A neu- ral network architecture for incremental supervised learning of analog multidimensional maps","venue":null,"work_id":"01473ab6-889b-414b-a861-034bc11db777","year":1992},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.018514Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:a630f1b21e93e1d9d65de8b7c768b49199b6e24f2b77d5b7e76ed48e299d1d7f","observation_id":"fe9a8e15-25b2-49fe-b205-80f5bfe7284e","resolution":{"observed_at":"2026-08-14T05:24:16.829085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.813823Z","title":"Artmap: Supervised real-time learning and classiﬁcation of nonstationary data by a self-organizing neural network","venue":null,"work_id":"d3f43760-c96d-4303-b56d-b6ffd3c115a0","year":1991},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.022354Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:586607844a6b55e6a6d7063796ad978b50e6ebf5b6f1035442577f1f13e65cc9","observation_id":"5d81bd77-b12c-43b6-9cbd-83ffb5c458e1","resolution":{"observed_at":"2026-08-14T05:24:16.817848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.802569Z","title":"End-to-end incremen- tal learning","venue":null,"work_id":"5bff1544-b68e-4bfa-8fbc-e6d015fc7676","year":2018},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.026315Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:21f69a6b2b2a275b4ec7f874089a20056c6f77af1c08de0fe6c71f2f68a9bf90","observation_id":"bd5ebf2a-2347-4367-8c76-a9cda1c108f4","resolution":{"observed_at":"2026-08-14T05:24:16.806014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.791150Z","title":"Riemannian walk for incremental learning: Understanding forgetting and intransigence","venue":null,"work_id":"d8b09f2c-df44-4230-8ba1-d62ae5fc2993","year":2018},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.029855Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:3c62ab52231e59e3a974622f8bc11235a099aa8a001ab785e4124aa5bafa04a7","observation_id":"b08b8bf1-fb2e-4ff4-9cf0-6849ab8bcb39","resolution":{"observed_at":"2026-08-14T05:24:16.794928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.776674Z","title":"Efﬁcient lifelong learning with A-GEM","venue":null,"work_id":"b2866e39-1f7a-4f82-ac52-f13c33a990b9","year":2019},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.033714Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:4120a1115ebc42b2f168bd503877824a9a8a024f0c323cb27cec7d18875e8d5f","observation_id":"030295d7-0034-4b02-852c-ed6db11af5e0","resolution":{"observed_at":"2026-08-14T05:24:16.783173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.765296Z","title":"Shrinkage algorithms for mmse covariance estimation","venue":null,"work_id":"62e0988b-d538-4b25-ade9-75aabf08d40b","year":2010},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.038209Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:a5fd7e361795038d039d5acf0e57c39772f0f7ec1581493eaa900ba85aafeb2e","observation_id":"a04db58e-18f5-4134-8918-2d4fe7cef621","resolution":{"observed_at":"2026-08-14T05:24:16.768787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.753755Z","title":"Ensemble learning in ﬁxed expansion layer networks for mitigating catastrophic forgetting","venue":null,"work_id":"f4a4e920-accb-4164-928c-67865f569662","year":2013},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.041973Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:c97bbdc86266d0720315deebc9d1a778dd7e9e44b6a17a757effa8c813a637b7","observation_id":"de78c944-a263-45b3-aacf-7ff4cfad2699","resolution":{"observed_at":"2026-08-14T05:24:16.757838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.742132Z","title":"On-line estimation with the multivariate gaussian distribution","venue":null,"work_id":"973d4dbe-ba11-4295-9dbc-dff073945201","year":2007},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.046190Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:c20f35712c032d60b90bb883dde4c0451d221ab163b34384537fe829c37c0478","observation_id":"ff5ef752-7de0-4836-a29e-df1d6bbd2d6f","resolution":{"observed_at":"2026-08-14T05:24:16.745780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.730495Z","title":"Learning without mem- orizing","venue":null,"work_id":"1312d12b-d518-455f-a21c-e284326bc16f","year":2019},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.050073Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:f854d93b75ada3cb73a1c2350c95d1f09abc688f799245ef98433875d9fdb8e1","observation_id":"93cb2b27-6883-4443-9da0-b9e68a369d0c","resolution":{"observed_at":"2026-08-14T05:24:16.734453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.719779Z","title":"Mining high-speed data streams","venue":null,"work_id":"1d313247-8a7f-4903-90a5-1bcf81d2c2c0","year":null},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.055301Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:66488516747ba3881115858728f8325f85f445ef50d90c66912b43c6040a747b","observation_id":"2351001c-4b94-4b42-9981-6d96227b1695","resolution":{"observed_at":"2026-08-14T05:24:16.723385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1805.09733","last_updated":"2019-06-26T16:34:02Z","snapshot_observed_at":"2026-08-14T19:11:31.797471Z","submitted_at":"2018-05-24T15:38:07Z","title":"Towards Robust Evaluations of Continual Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.09733","snapshot_observed_at":"2026-08-14T05:24:16.060316Z","title":"Towards robust evaluations of continual learning","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.060316Z"},"links":{"cited_paper":"/paper/1805.09733","citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:f88e4785d17fe52899075d0ef07f938535e32d3f13ebc6de436f9530ea27267a","observation_id":"aa05786d-02a5-487f-9c86-3395cfba098f","resolution":{"observed_at":"2026-08-14T05:24:16.060316Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1701.08734","last_updated":"2017-01-30T18:06:07Z","snapshot_observed_at":"2026-08-14T21:18:51.601049Z","submitted_at":"2017-01-30T18:06:07Z","title":"PathNet: Evolution Channels Gradient Descent in Super Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1701.08734","snapshot_observed_at":"2026-08-14T05:24:16.065055Z","title":"Pathnet: Evolution channels gradient descent in super neural networks","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.065055Z"},"links":{"cited_paper":"/paper/1701.08734","citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:b9c842c4ed6506f60d1630f6660d6f732e2c27d5f12da7bb6069878949282bc3","observation_id":"47f8b602-f72e-4fac-8ae5-c6c3073b5ac8","resolution":{"observed_at":"2026-08-14T05:24:16.065055Z","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":"2026-08-14T05:24:16.708949Z","title":"A survey of classiﬁcation methods in data streams","venue":null,"work_id":"abbe3c5b-7135-4d3b-b0d4-a7a088dc9f18","year":2007},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.070531Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:2546227ca91fb7d824bc43c459c2efe4d1f7bee9749200da2654e68bc086b93b","observation_id":"033fc87e-2eb5-4d3d-bd56-ffe99d40d595","resolution":{"observed_at":"2026-08-14T05:24:16.713012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.696938Z","title":"Knowledge discovery from data streams","venue":null,"work_id":"59ecd69b-8672-463a-a506-98ea8f1dfde9","year":2010},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.075025Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:d5b4c5e02b4a4cee73404c77627b9d25be097d11bf0f16303fb2c4dcd52bc5ad","observation_id":"6765789a-a41b-4050-ad03-20e263714a8c","resolution":{"observed_at":"2026-08-14T05:24:16.700657Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.682346Z","title":"Decision trees for mining data streams","venue":null,"work_id":"3681f8e5-9ea8-4fc5-9bd7-c637ff7e8209","year":2006},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.079524Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:a9fd04aebdbbdb57ebf5dd6a3e0e3669880e731df0e53175f2a5b3e845c61c0b","observation_id":"17118415-e3d0-4810-81d5-27ba30096feb","resolution":{"observed_at":"2026-08-14T05:24:16.686261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.670619Z","title":"On evaluating stream learning algorithms","venue":null,"work_id":"e533aaee-441a-4518-8758-75b56de0bd9a","year":2013},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.084270Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:11dd50a918e9e58fcb5fb08d4258106fb92732f84265dc0108d042b530d4d817","observation_id":"7a8a9a26-6fe0-4548-b32e-23df2cb5a3de","resolution":{"observed_at":"2026-08-14T05:24:16.674327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.658698Z","title":"Memory efﬁcient experience replay for streaming learning","venue":null,"work_id":"9fd83962-fc5f-46b4-944a-529f203dbe2a","year":2019},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.089296Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:ca8a0bf987db5cdbe8f2b1947c911d602a1cc23993a67e51247249e0949028b6","observation_id":"d4a3f621-762d-4edc-b04a-5f8f74764332","resolution":{"observed_at":"2026-08-14T05:24:16.662548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.646508Z","title":"Deep residual learning for image recognition","venue":null,"work_id":"c4362244-18eb-4872-b373-34c6bc6a5d01","year":2016},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.093322Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:d49e02d3ca066ea227419b197019b321aca8e613021f816e4c300a567cd6055e","observation_id":"8d38f350-af62-42b6-a562-e7c081d9ea69","resolution":{"observed_at":"2026-08-14T05:24:16.650533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-08-16T18:00:58.008096Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-14T05:24:16.098104Z","title":"Distill- ing the knowledge in a neural network","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.098104Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:5fd060f94dfdd851e77eb5c2e1765b3dfd9062b97cce3b1369118dbaa6e8d0ef","observation_id":"4833deb4-5426-4ff1-a7d3-85cf4ad2a0db","resolution":{"observed_at":"2026-08-14T05:24:16.098104Z","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":"2026-08-14T05:24:16.635279Z","title":"Lifelong learning via progressive distillation and retrospection","venue":null,"work_id":"c8408191-db4c-49f1-b132-ccc9a8788dd8","year":2018},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.103086Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:112e1c7bec087ae697df936bbaf56c665e066f0979a684e075564f6d71e11dd7","observation_id":"850b9bf8-33b7-498a-a657-7890a37d803f","resolution":{"observed_at":"2026-08-14T05:24:16.638819Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.622523Z","title":"Mining time-changing data streams","venue":null,"work_id":"c372599a-93a8-41e2-8173-e53027b5586b","year":2001},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.107757Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:4b59feaaaa8e8fb7aaa3c15c13da85550685e8b1b5d4a8f1f240eba04c798e3e","observation_id":"6301b506-3a56-4568-9d33-d00f2814443d","resolution":{"observed_at":"2026-08-14T05:24:16.626424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.609733Z","title":"Learn- ing model trees from evolving data streams","venue":null,"work_id":"d7e3d483-03e8-4c61-a617-8553f97a643b","year":2011},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.112129Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:7b1ba849ae3ccc542aee5840d3b038fbdc4a9547c082a27b57a3f33c1ec708cf","observation_id":"fbf559a1-a193-410c-912b-d6fe5874a9f6","resolution":{"observed_at":"2026-08-14T05:24:16.613437Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.597412Z","title":"Revisiting distillation and incremental classiﬁer learning","venue":null,"work_id":"360f16e8-b1ab-4b35-bef6-1bd4a8b5977b","year":2018},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.116643Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:e7aedad33d4b0b07d01e4d756d048f666b38642d604996927ed7f3dcc54f41dc","observation_id":"0dadcda9-ac47-4f12-9133-bce8becb447f","resolution":{"observed_at":"2026-08-14T05:24:16.601231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.585398Z","title":"FearNet: Brain- inspired model for incremental learning","venue":null,"work_id":"68053d8b-cfe1-4af8-bdff-2411eab43a40","year":2018},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.121215Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:1dec3080cea0d9f14f8bea5770729766135558d4e04dd5ff775f52e8d0297d8e","observation_id":"b3af4276-a96b-4b26-bf07-5315710244a7","resolution":{"observed_at":"2026-08-14T05:24:16.589207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.573634Z","title":"Measuring catastrophic for- getting in neural networks","venue":null,"work_id":"22162524-781c-4c3b-af60-507b22abbe25","year":2018},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.125691Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:88da2db8ec68e4898cc579e05ac653e3f299b1b949d40b0b14f0db4350dd3000","observation_id":"9f862bd8-10fe-4f3b-b558-d3c9fd2b0344","resolution":{"observed_at":"2026-08-14T05:24:16.577191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.562410Z","title":"Overcoming catastrophic forgetting in neural networks","venue":null,"work_id":"8182dd74-6be3-4edd-83b2-3bc9d00778be","year":2017},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.130271Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:2bd718c378554842fc430e856d681f28a14af93f6b1894324469d13de24b4e20","observation_id":"bb5427ab-5a35-4f9a-97bf-fe915c4d86f8","resolution":{"observed_at":"2026-08-14T05:24:16.566180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.550607Z","title":"A simple uniﬁed framework for detecting out-of-distribution samples and adversarial attacks","venue":null,"work_id":"a9671b30-8c9d-4b27-9126-483e91f293d7","year":2018},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.134526Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:8f6eccffc5b895ce5db7d7fbd8c19c86c0a2803ba3ad07f53a1c06237a44e734","observation_id":"2aad8729-88ff-4f03-817a-5db4be5c2c54","resolution":{"observed_at":"2026-08-14T05:24:16.554291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.539078Z","title":"Over- coming catastrophic forgetting with unlabeled data in the wild","venue":null,"work_id":"04bcb361-8512-460b-966e-c719072cca0c","year":2019},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.138556Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:9f31df00f3c29b4cae076520a97f99c2ce67372a67189bc46fb6e18e6df89e36","observation_id":"7e9ca815-5031-4a77-b589-44c54a8b4210","resolution":{"observed_at":"2026-08-14T05:24:16.542768Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.527639Z","title":"Core50: a new dataset and benchmark for continuous object recognition","venue":null,"work_id":"a36f193b-46aa-444f-bd1d-36be73f33ed2","year":2017},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.142441Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:de90a43ee191a9cfbff5b22f3715fdf18be0f7529e40f0a63d0c1c87ffa33051","observation_id":"77fedf76-7eab-4989-9e85-e8409bdae0c9","resolution":{"observed_at":"2026-08-14T05:24:16.531177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.516816Z","title":"Gradient episodic memory for continual learning","venue":null,"work_id":"f0b88b16-0167-4c9d-a9ff-43b443c13b7d","year":2017},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.146554Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:d43bfae2ab744d21bdf57213080db5e256268d615772f28be7661405e933d3b5","observation_id":"c4015244-374c-4592-a343-2fc0142d07ea","resolution":{"observed_at":"2026-08-14T05:24:16.520232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.504828Z","title":"Catastrophic inter- ference in connectionist networks: The sequential learning problem","venue":null,"work_id":"2cf51fda-1975-42ae-8f24-e9e5cbbd6978","year":1989},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.151088Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:737585c0e7527481a1806f18ba36b4d1ffbe951414b9faf73e431ea0468268cb","observation_id":"6cfae391-8b81-4cd2-a457-8975e00df1c4","resolution":{"observed_at":"2026-08-14T05:24:16.508724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.493613Z","title":"Selection and sorting with limited storage","venue":null,"work_id":"2d8e09f4-ea12-41b8-884b-0d091c301842","year":1980},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.156254Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:0195dc784c5bb3f40a849d1c6544ca50408abda318412604140e5fc6a83db32d","observation_id":"1218faf5-9d2b-409b-8a84-dedf795af570","resolution":{"observed_at":"2026-08-14T05:24:16.496963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.480261Z","title":"Learning to remember: A synaptic plasticity driven framework for continual learning","venue":null,"work_id":"d88c8705-ea5f-4dcd-af22-d8047ce17fb8","year":null},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.160451Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:bfe0b2d1869d0db4b97dd553ffc5ae40fd7af79752600aabd7114421031136d6","observation_id":"af9b3768-f8e0-4f2a-a26e-6827378fea01","resolution":{"observed_at":"2026-08-14T05:24:16.485093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.467847Z","title":"Incre- mental linear discriminant analysis for classiﬁcation of data streams","venue":null,"work_id":"7fe59312-5082-4e64-8ced-707a54f20412","year":2005},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.164633Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:77d6a117183a30191b32c50db27bb20d81e97fd2d1fb62fb06ec98e97395577c","observation_id":"6d24f2e8-d9b4-45b8-8699-af8957fe3349","resolution":{"observed_at":"2026-08-14T05:24:16.471944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.454355Z","title":"Lifelong learning of spatiotemporal representa- tions with dual-memory recurrent self-organization","venue":null,"work_id":"2d041fda-775a-4fd9-bba4-9032464a75de","year":2018},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.168478Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:850f65154c6c4b9cd7c56e82fd212883c5bad8884ae3e069563db8a7c05ec3e2","observation_id":"d39d244b-51c7-4482-8918-1074eccb8906","resolution":{"observed_at":"2026-08-14T05:24:16.458637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.436204Z","title":"Self-taught learning: transfer learning from unlabeled data","venue":null,"work_id":"33a1fb3b-2251-4ced-91ae-1b1815c05902","year":2007},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.173277Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:30b429bdaaf04e1c0a591fcfffe37f7108d99c71bd3501b6abbb25aadcdb9307","observation_id":"1024fd86-08b3-4f3d-b38e-b8736509c860","resolution":{"observed_at":"2026-08-14T05:24:16.442843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.420532Z","title":"Scalable and efﬁcient multi-label classiﬁcation for evolving data streams","venue":null,"work_id":"3a9e848b-22dc-4de6-b37c-70b930bf06bb","year":null},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.177412Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:374317c74159553daaf4771b3e5c6061be74869d3e73a3f302851054f04ba506","observation_id":"ec4baa80-c4dd-4c0d-bedc-cd0ac3fe853e","resolution":{"observed_at":"2026-08-14T05:24:16.426028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.406299Z","title":"icarl: Incremental classiﬁer and representation learning","venue":null,"work_id":"a45176d1-212a-424f-9bd4-beda61171ce1","year":2017},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.181629Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:2b9a07bddd8e6fc4dab520661385b5fbe0aa8121962cf25034e35453108717f9","observation_id":"185642f9-26aa-40fc-b464-d1b5af185b0c","resolution":{"observed_at":"2026-08-14T05:24:16.411594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.393133Z","title":"On- line structured laplace approximations for overcoming catas- trophic forgetting","venue":null,"work_id":"744b7c3c-6ef0-42bd-a118-c51b9013afd6","year":2018},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.186029Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:105bb1a51babed57c16e75a02c00338b22963a449514320481bf62df9fdfce70","observation_id":"93195cda-dff3-423e-993a-e6b5ff993223","resolution":{"observed_at":"2026-08-14T05:24:16.397748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.377864Z","title":"Berg, and Li Fei-Fei","venue":null,"work_id":"c09acf63-6900-4c4d-be28-1edeb212efb6","year":2015},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.190187Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:dd85a5c3cb7081833180c133de898b449fa220c5417a28fedbd19bbb7087e125","observation_id":"2156a35e-5d89-4a25-8217-e72a9884170c","resolution":{"observed_at":"2026-08-14T05:24:16.382648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.362057Z","title":"Overcoming catastrophic forgetting with hard atten- tion to the task","venue":null,"work_id":"6fef749a-7eb7-4388-b19e-438c230befec","year":2018},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.194459Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:06b37baeea87badedfc54db541681ca2b7155b93ec5a60be7dd47f5c8d8e9fb5","observation_id":"0052be1b-87b2-4b39-8136-1f8c609cc924","resolution":{"observed_at":"2026-08-14T05:24:16.367093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.347401Z","title":"Min- ing concept-drifting data streams using ensemble classiﬁers","venue":null,"work_id":"c1152fa4-ac77-47aa-a35a-340ec779f5bd","year":2003},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.198876Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:ba47bc475a9cd47e68d1999fe0cdeeb7b7131201d4b6aea761b7b67ad64050ab","observation_id":"d7667d81-febf-4228-bb45-aec8d751b84b","resolution":{"observed_at":"2026-08-14T05:24:16.351997Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.333176Z","title":"Gaussian artmap: A neural network for fast incremental learning of noisy multidimensional maps","venue":null,"work_id":"32fec576-af68-4707-b696-3888ae8dd89b","year":1996},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.202895Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:ab37bbe3f11a69f2399d00eb8358660bc855897c21920296be68fc5de219c5bb","observation_id":"5914c7ce-8ac6-4344-800f-919a1089c469","resolution":{"observed_at":"2026-08-14T05:24:16.337928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.319134Z","title":"Memory replay gans: learning to generate images from new categories without forgetting","venue":null,"work_id":"d829ddec-3fb0-410a-8c1f-915e5ce48601","year":2018},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.207196Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:945cabe573132e9ee157c7e13f9d714923ca9db3ddea0052230bd487abf0dd5f","observation_id":"c831cb29-1613-4720-b4b8-bfbebcb43039","resolution":{"observed_at":"2026-08-14T05:24:16.323670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.305510Z","title":"How transferable are features in deep neural networks? In NeurIPS, pages 3320–3328, 2014","venue":null,"work_id":"fecbb31b-bee8-4301-b3a3-942dcd8fde67","year":2014},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.211529Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:06a5c14d2b7208b49b74fc0142e975d25cbb044bd97096b7d31f7b2254ac43b4","observation_id":"8f15f3fb-65bd-4c0c-af66-4fc3997b82e1","resolution":{"observed_at":"2026-08-14T05:24:16.309929Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:24:16.290694Z","title":"Continual learning through synaptic intelligence","venue":null,"work_id":"3a148074-cc3e-4462-996a-1dc5690a4029","year":2017},"citing_paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-14T05:24:16.215624Z"},"links":{"citing_paper":"/paper/1909.01520"},"observation_digest":"sha256:15c0d4de9a3cd0b9fe87065b7afece68303e031e5c8493639bfd9063055c5603","observation_id":"ac44a2fd-900b-4517-9420-166344f74b24","resolution":{"observed_at":"2026-08-14T05:24:16.296643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1909.01520","last_updated":"2020-04-17T16:28:51Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T11:44:08.893482Z","submitted_at":"2019-09-04T02:13:22Z","title":"Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis"},"reference_resolution":{"displayed":52,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":49},"total_outbound_references":52},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:1909.01520."}