{"as_of":"2026-08-12T10:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ca27ace35529699f6673d249f8203ac9c79e94c9581fb8cf9c18ddc7fb78a3c8","coverage":[{"denominator":54,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":54,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T12:00:09.976892Z","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":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T05:44:28.706434Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.07858","snapshot_observed_at":"2026-08-03T05:44:28.706434Z","title":"Mamba adaptive anomaly transformer with as- sociation discrepancy for time series.arXiv preprint arXiv:2502.07858, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.01515","last_updated":"2026-07-21T04:21:37Z","snapshot_observed_at":"2026-08-10T02:18:24.483958Z","submitted_at":"2026-02-02T01:04:55Z","title":"RAPT: Model-Predictive Out-of-Distribution Detection and Failure Diagnosis for Sim-to-Real Humanoid Deployment","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-03T05:44:28.706434Z"},"links":{"cited_paper":"/paper/2502.07858","citing_paper":"/paper/2602.01515"},"observation_digest":"sha256:9ef9e04b2de965e0124fe8cb053e9bf98f56df1160215c43001e14110cc82458","observation_id":"2b3b64a2-9aee-4142-b87f-15d906f9c03b","resolution":{"observed_at":"2026-08-03T05:44:28.706434Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2502.07858/citation-record","integrity":"/paper/2502.07858/integrity","json":"/paper/2502.07858/citation-record.json","paper":"/paper/2502.07858"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:00:16.571037Z","title":null,"venue":null,"work_id":"efb62458-196c-4f5d-8f56-da4865f396f7","year":1970},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.783442Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:c947ad1132df6755a90d39fe9945b2e639c6755a3ee03f5e7f19357d4ee59231","observation_id":"01e25c54-f5e2-4c5a-be23-94b4cf28d816","resolution":{"observed_at":"2026-08-08T12:00:16.575010Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.559255Z","title":null,"venue":null,"work_id":"1b70241a-3703-4aa1-8e8c-12eedd383923","year":2006},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.788181Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:fe2a58cd41d3449c48bd3d6e3004411f03788659981a21926ec89919bcf610bd","observation_id":"76c2bc51-85d1-4028-afc9-af9330541b26","resolution":{"observed_at":"2026-08-08T12:00:16.562707Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:00:09.792060Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.792060Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:3fc2efd359328e944d3ecdd0ec382673f4317909ba731b4bb49dc810bd7cb3c7","observation_id":"1927a32a-7a2b-4119-a610-0764e5a4a4d4","resolution":{"observed_at":"2026-08-08T12:00:09.792060Z","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":"2026-08-08T12:00:16.540825Z","title":"Scholkopf, J","venue":null,"work_id":"f252f43a-54a1-4705-a716-371ba6f9aaff","year":2000},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.796267Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:f1d34ae25883224db6d05c6c6a4fb7adcad2d86e78a38b36b23d81ae48b0529b","observation_id":"611a2f34-f2c0-4552-9315-be20d9e16d01","resolution":{"observed_at":"2026-08-08T12:00:16.545224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.529843Z","title":"Rabiner, B.-H","venue":null,"work_id":"f3ed28b2-9898-4f43-8b67-5a0724726b47","year":1986},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.800125Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:f43124b96fd0e25da12a9a2594731e6e674e59e305b6d2ee580fff8dcd13c017","observation_id":"e5c52d58-1138-4780-b2aa-23c09d2b5587","resolution":{"observed_at":"2026-08-08T12:00:16.533348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:00:09.804061Z","title":"Hochreiter, J","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.804061Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:2191d8dd91a87562432f435956513c3273dd5a832772ad8c634372ab890499b8","observation_id":"91736a1b-1813-4c44-8c6e-c8221f057f50","resolution":{"observed_at":"2026-08-08T12:00:09.804061Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1803.10769","last_updated":"2018-03-28T14:49:25Z","snapshot_observed_at":"2026-08-09T02:47:20.738481Z","submitted_at":"2018-03-28T14:49:25Z","title":"Network Traffic Anomaly Detection Using Recurrent Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.10769","snapshot_observed_at":"2026-08-08T12:00:09.808123Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.808123Z"},"links":{"cited_paper":"/paper/1803.10769","citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:5852486b9138899ff15bcede92eeac8e28b936c3d4bd3e839459de6cdd19dcc3","observation_id":"8d097c49-da84-48c7-9d77-eda463b44634","resolution":{"observed_at":"2026-08-08T12:00:09.808123Z","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":"2026-08-08T12:00:16.511587Z","title":"Malhotra, A","venue":null,"work_id":"950c1679-6c89-4bd4-b534-b3722cea9399","year":2016},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.812164Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:142ba8879754b4e0311e350ec2c33c56fc06465c5ea6b4511d88d2bf400b069c","observation_id":"bf827ee5-858c-49fd-bf0f-c4a04b976d54","resolution":{"observed_at":"2026-08-08T12:00:16.514988Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.03903","last_updated":"2018-02-12T06:23:04Z","snapshot_observed_at":"2026-08-09T02:47:21.856776Z","submitted_at":"2018-02-12T06:23:04Z","title":"Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications","version":1},"cited_work":{"arxiv_id":"1802.03903","doi":null,"metadata_source":"pith","pith_arxiv_id":"1802.03903","snapshot_observed_at":"2026-08-08T12:00:16.216838Z","title":"Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications","venue":"cs.LG","work_id":"640342b3-18ab-4ee8-947a-41331b5446c2","year":2018},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.815574Z"},"links":{"cited_paper":"/paper/1802.03903","citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:150f9f7494a1454727ecb870b10e19a169aee07590a7653d367f760e6ad342ee","observation_id":"5ce1436a-9f43-40e5-973d-e0ff62f38259","resolution":{"observed_at":"2026-08-08T12:00:16.220925Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.10713","last_updated":"2021-01-03T21:28:13Z","snapshot_observed_at":"2026-08-09T19:42:35.697519Z","submitted_at":"2020-03-24T08:26:58Z","title":"Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders","version":3},"cited_work":{"arxiv_id":"2003.10713","doi":null,"metadata_source":"pith","pith_arxiv_id":"2003.10713","snapshot_observed_at":"2026-08-08T12:00:16.202501Z","title":"Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders","venue":"cs.LG","work_id":"0d4d6f52-b035-45de-8278-19dd73adecfc","year":2020},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.819415Z"},"links":{"cited_paper":"/paper/2003.10713","citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:5cecd25f2fcea3f6eccfd1facdb39b41ade8d17542e0ebb4940465d26a78aac2","observation_id":"2d91b158-2640-49b6-8dc1-5d5346352089","resolution":{"observed_at":"2026-08-08T12:00:16.206218Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-08T12:00:09.823021Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.823021Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:f91cc742fdd34cb6e815dadbd9a5881a712c9e5b936a4ec1522d9fc5fc11f8e8","observation_id":"658b9f89-c988-41e3-8bce-6e24934bb0c0","resolution":{"observed_at":"2026-08-08T12:00:09.823021Z","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":"2026-08-08T12:00:16.501986Z","title":null,"venue":null,"work_id":"a2a198fb-f4b0-41e2-bf5f-d1b3f320d9bf","year":2006},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.826963Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:2a799729461ae2642a80686a79c2ced31fc7a72fcc5d7c09818eb5c53df37dd9","observation_id":"05c68a1f-dc6e-4c38-b7c4-12bfcd84045e","resolution":{"observed_at":"2026-08-08T12:00:16.504906Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.492299Z","title":"Vaswani, N","venue":null,"work_id":"81034e3b-cf6e-4653-8f21-e8d701a9fbfa","year":2017},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.830240Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:e81d499d51a83dc84e0ae5c5f05e2ba8907859d34de660369b485aa2c3e8b1d5","observation_id":"a540efcd-b761-496d-ab05-8bbe1f760c16","resolution":{"observed_at":"2026-08-08T12:00:16.495950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:00:09.833722Z","title":"Zhang, Z","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.833722Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:d584c8681da10ffe050f363b71e308a977011b26b53b1169a55f00e65c888a34","observation_id":"7db55797-3a59-4667-a3c0-067ed385693f","resolution":{"observed_at":"2026-08-08T12:00:09.833722Z","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":"2026-08-08T12:00:16.482061Z","title":null,"venue":null,"work_id":"f09c9ade-eab1-4209-b7df-41200de88112","year":2024},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.837197Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:70bf9065590d263b3b43c95b5ddd8d1c6586cd1059af1b507fd0fc4fbe126086","observation_id":"4645e49d-fbc1-459e-becb-e884d3bc5986","resolution":{"observed_at":"2026-08-08T12:00:16.485942Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.471681Z","title":null,"venue":null,"work_id":"0d792cae-7f56-4e53-b5ca-2cd8996fbec6","year":2022},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.840398Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:11eb5b0f8ec2b4f20be5307455d00c4a80a4cb9324c3f035b159ee758a1c850d","observation_id":"57de50d3-d8f1-4733-b3e6-4ceeba5caeae","resolution":{"observed_at":"2026-08-08T12:00:16.475073Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.10347","last_updated":"2023-10-11T07:50:09Z","snapshot_observed_at":"2026-08-10T23:20:34.882459Z","submitted_at":"2023-06-17T13:40:15Z","title":"DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.10347","snapshot_observed_at":"2026-08-08T12:00:09.843594Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.843594Z"},"links":{"cited_paper":"/paper/2306.10347","citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:c696d0b01e13991668ada690e31e7b378a781ad734548db469be2d031fc60387","observation_id":"f59b2cab-847e-4d65-9b5a-0a1e8d1952d7","resolution":{"observed_at":"2026-08-08T12:00:09.843594Z","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":"2026-08-08T12:00:16.462093Z","title":null,"venue":null,"work_id":"3ffa0e4c-61df-44a2-92ee-0aba2bfafb2f","year":2008},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.847310Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:ae43c967b0447204dd2347bc01d9e049e3ae0f0dafd95312cb9b12c026234002","observation_id":"a912daee-46ee-4c4f-bdae-c0d795b16cd3","resolution":{"observed_at":"2026-08-08T12:00:16.465505Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.452717Z","title":"Distante, L","venue":null,"work_id":"810d7b58-5291-49f0-8fa6-d4a353e685eb","year":2022},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.850599Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:cfd61a4ad633e7f9bf60c3dfcdc265e44856eb2914e0e65da7ac9a9c7ef6f92b","observation_id":"4d760b17-4fa0-453d-9441-b30929b68498","resolution":{"observed_at":"2026-08-08T12:00:16.455780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:00:09.854030Z","title":"Schlegl, P","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.854030Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:e3fc31d3cae2e4d58e8141c5503b465659c21f9b08f33911d9eff0836498707b","observation_id":"1bf35e4f-a778-4ef3-9136-718220c39a84","resolution":{"observed_at":"2026-08-08T12:00:09.854030Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1901.04997","last_updated":"2019-01-15T08:24:45Z","snapshot_observed_at":"2026-08-09T02:46:23.623962Z","submitted_at":"2019-01-15T08:24:45Z","title":"MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks","version":1},"cited_work":{"arxiv_id":"1901.04997","doi":null,"metadata_source":"pith","pith_arxiv_id":"1901.04997","snapshot_observed_at":"2026-08-08T12:00:16.168626Z","title":"MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks","venue":"cs.LG","work_id":"b99dcef3-b152-48cd-92df-50ee6dc6a369","year":2019},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.857239Z"},"links":{"cited_paper":"/paper/1901.04997","citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:1c436d07aaa3a1e92326ab1448ea42366b5082923433fcd7019ef271507d1571","observation_id":"1b98fab3-1e51-4422-8823-3f3287a4c347","resolution":{"observed_at":"2026-08-08T12:00:16.172942Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.04468","last_updated":"2023-05-08T05:42:24Z","snapshot_observed_at":"2026-08-09T02:46:59.159622Z","submitted_at":"2023-05-08T05:42:24Z","title":"AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.04468","snapshot_observed_at":"2026-08-08T12:00:09.860907Z","title":"Jeong, E","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.860907Z"},"links":{"cited_paper":"/paper/2305.04468","citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:726c1818f2584ebbc0e4c7b823031f99e30e1f73af9e21ab625f5032ac35aa19","observation_id":"a3a8c574-bd12-4e2b-a1a7-03b37ea1361c","resolution":{"observed_at":"2026-08-08T12:00:09.860907Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.08800","last_updated":"2023-10-30T06:23:59Z","snapshot_observed_at":"2026-08-12T08:51:52.533268Z","submitted_at":"2023-10-13T01:18:41Z","title":"DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.08800","snapshot_observed_at":"2026-08-08T12:00:09.864241Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.864241Z"},"links":{"cited_paper":"/paper/2310.08800","citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:7a4bf020df1ca30fe36094355fc43bb736530637b8486d6a9f5c4ffb7cd177a0","observation_id":"e2540521-1c62-42b3-8b88-24d3d8453fd8","resolution":{"observed_at":"2026-08-08T12:00:09.864241Z","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":"2026-08-08T12:00:16.443654Z","title":null,"venue":null,"work_id":"e8d6bf52-e8a9-4749-9ff2-ec125980a372","year":2021},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.867812Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:4193da58022e75463f3daa782e2803f362edc68b32241a4300111f99ddcce0d0","observation_id":"388daf63-9572-4e17-9104-e18ebaa5a0dd","resolution":{"observed_at":"2026-08-08T12:00:16.446672Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.09645","last_updated":"2021-01-24T04:25:08Z","snapshot_observed_at":"2026-08-09T02:46:34.289611Z","submitted_at":"2021-01-24T04:25:08Z","title":"Multi-Task Time Series Forecasting With Shared Attention","version":1},"cited_work":{"arxiv_id":"2101.09645","doi":null,"metadata_source":"pith","pith_arxiv_id":"2101.09645","snapshot_observed_at":"2026-08-08T12:00:16.136545Z","title":"Multi-Task Time Series Forecasting With Shared Attention","venue":"cs.LG","work_id":"db63c047-621a-4f90-899f-eb349cf0486a","year":2021},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.871002Z"},"links":{"cited_paper":"/paper/2101.09645","citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:9097cf088e16c58434545d59e5d3e2d6e4428905a2c753c85b42aa87e08a6c6f","observation_id":"05ff6fda-29c7-428d-bd9f-396604cfd9ce","resolution":{"observed_at":"2026-08-08T12:00:16.139930Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.433549Z","title":"Gupta, G","venue":null,"work_id":"e77c4b5c-178f-4ba3-be61-39b7ed014902","year":2021},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.877991Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:2ef86b23250c680382318e2b20ff3e55033f765fcb7160e23c51431fcee43ba0","observation_id":"5d8b7f66-e166-4be2-91ec-1a9e94464723","resolution":{"observed_at":"2026-08-08T12:00:16.437375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.424722Z","title":null,"venue":null,"work_id":"0e66ec4c-9503-46f0-8d4a-7ffd40c959c9","year":2021},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.881538Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:3269da8f375b2934e0c8adcc4109add79ee0862025bc5f69eb29b9b0ad210772","observation_id":"7db00327-0de5-4977-b148-82874a2d6fbd","resolution":{"observed_at":"2026-08-08T12:00:16.427745Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.10509","last_updated":"2019-04-23T19:29:47Z","snapshot_observed_at":"2026-08-09T19:46:04.857927Z","submitted_at":"2019-04-23T19:29:47Z","title":"Generating Long Sequences with Sparse Transformers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.10509","snapshot_observed_at":"2026-08-08T12:00:09.884926Z","title":"Child, S","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.884926Z"},"links":{"cited_paper":"/paper/1904.10509","citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:edef400919c54184ba84a9969c35b2c7f89d9968122135601d1b3c495750f1ad","observation_id":"9a2a7369-5220-4d9b-8990-f5f90e329a37","resolution":{"observed_at":"2026-08-08T12:00:09.884926Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.14062","last_updated":"2021-01-08T07:41:50Z","snapshot_observed_at":"2026-08-10T19:17:03.595450Z","submitted_at":"2020-07-28T08:34:04Z","title":"Big Bird: Transformers for Longer Sequences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.14062","snapshot_observed_at":"2026-08-08T12:00:09.888384Z","title":"Zaheer, G","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.888384Z"},"links":{"cited_paper":"/paper/2007.14062","citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:1a487127b57636629c747980c8a1ad76f7654c8f7ad5e307ecbf93baa6cdfbe8","observation_id":"90b8ab65-9427-4d84-aea9-9cc7d36250f9","resolution":{"observed_at":"2026-08-08T12:00:09.888384Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2001.04451","last_updated":"2020-02-18T16:01:18Z","snapshot_observed_at":"2026-07-06T08:50:12.690900Z","submitted_at":"2020-01-13T18:38:28Z","title":"Reformer: The Efficient Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.04451","snapshot_observed_at":"2026-08-08T12:00:09.892185Z","title":"Kitaev, L","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.892185Z"},"links":{"cited_paper":"/paper/2001.04451","citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:09453cab2924350a92ce870bf8bd91a06a4a2c6ef9bf9a426cc13c883d7423e6","observation_id":"492be539-6d5f-4917-834b-7a4889dcf4ee","resolution":{"observed_at":"2026-08-08T12:00:09.892185Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.00396","last_updated":"2022-08-05T17:54:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-10-31T03:32:18Z","title":"Efficiently Modeling Long Sequences with Structured State Spaces","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.00396","snapshot_observed_at":"2026-08-08T12:00:09.895801Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.895801Z"},"links":{"cited_paper":"/paper/2111.00396","citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:40a1495456c1755d9d3126d45d07dadbd18e2317ef24cad8216af9eb92ebb708","observation_id":"314ea728-abd3-4ee8-8b96-84e46f2757e0","resolution":{"observed_at":"2026-08-08T12:00:09.895801Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00752","last_updated":"2024-05-31T17:55:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-01T18:01:34Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00752","snapshot_observed_at":"2026-08-08T12:00:09.899611Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.899611Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:d28b3f84e74092219e2a0c6310bc92f79f38ff5fda7016e4ecbac31564d4f5c3","observation_id":"d47e4fcc-3283-4804-964d-f18aeaffaf33","resolution":{"observed_at":"2026-08-08T12:00:09.899611Z","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":"2026-08-08T12:00:16.416246Z","title":null,"venue":null,"work_id":"62d08700-a575-41bf-b8e0-d15c426b57d3","year":null},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.903085Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:3c8dd12a5ae354ca681b129bd44b2fc5aa14e4cedfbcd2fb9b21df421f14cb78","observation_id":"83d80668-90d9-4906-acce-cf312f6069cc","resolution":{"observed_at":"2026-08-08T12:00:16.419219Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.404696Z","title":null,"venue":null,"work_id":"80af2f16-4161-4422-b2df-339813741803","year":null},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.906750Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:c3ea063cb8e9839e474385fb5bb6ea0a327c5afec5eaa806cc67c9da4116cc06","observation_id":"a5e67496-abdf-432d-aacd-ed12b3feff07","resolution":{"observed_at":"2026-08-08T12:00:16.409173Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.394764Z","title":"Huang, X","venue":null,"work_id":"ac94b212-1d30-4af2-a218-9802a07921b9","year":2021},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.910675Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:465278e40b456c565a6b6465dfc692ac04447c047cb58dbe0c2da1a5bf573cc3","observation_id":"acaa4490-1716-4ddb-aa8f-809096317531","resolution":{"observed_at":"2026-08-08T12:00:16.398063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.384814Z","title":null,"venue":null,"work_id":"ab3dd7c6-ede4-4718-8a97-7731a844c51b","year":2019},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.914018Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:0ca7de332eddec2da01fc518fd7bc702a447ab1d427b5f8c84b22ab0eb579986","observation_id":"6c3ade69-8874-452a-893b-0a7acd88a9d1","resolution":{"observed_at":"2026-08-08T12:00:16.388325Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.375439Z","title":"Mathur, N","venue":null,"work_id":"21b4b310-1989-4682-85f8-31fd6b0dbea6","year":2016},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.917504Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:7da44524ce888444d23044b95a2172cde96cf82173e1460b28874331320b5b23","observation_id":"63bd7a51-3eb7-46d7-babf-b369aeaefb30","resolution":{"observed_at":"2026-08-08T12:00:16.378524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"citations/2015000","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:00:16.070002Z","title":null,"venue":null,"work_id":"577a2e8f-e0c0-41e0-b363-e69d4bf07b85","year":null},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.921121Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:c468aba2b1817cf8929f2cefd2e4037421f0cba64c206b8c81f548df4d2194f1","observation_id":"2a623f37-a2b3-4823-86ab-ffc625a82e4f","resolution":{"observed_at":"2026-08-08T12:00:16.074638Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.365888Z","title":null,"venue":null,"work_id":"f20746bf-b285-4bd8-85a5-75c4cb045402","year":2018},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.924643Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:db61b6dc7a2356048eba319bb095a8d81cc1933453944fe820ac4321ed4719f2","observation_id":"b364cbea-e0d3-4fd0-b0f2-d8c3e625bfe3","resolution":{"observed_at":"2026-08-08T12:00:16.369763Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.356689Z","title":"Chandola, A","venue":null,"work_id":"d71ed6b9-40d7-4deb-86b3-53be8a21da2f","year":2009},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.928036Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:8c4fe85efc0c8a6f7631942da7af65bc43685a777d49ae19a2aedefd47a5beb1","observation_id":"19793975-2d83-48e1-8a4e-dfdd34e27228","resolution":{"observed_at":"2026-08-08T12:00:16.360082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.347460Z","title":"Hundman, V","venue":null,"work_id":"492728e5-7940-45f5-8219-cb72da55ccd9","year":2018},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.931314Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:af6a706c2af8d27ed4a616e705cf5d34ea8b1dcfce367f17af96af8e8d9e83ba","observation_id":"09dbbcf4-5816-4965-be7d-e3287fecfe84","resolution":{"observed_at":"2026-08-08T12:00:16.350808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.338963Z","title":"Blazquez-Garcia, J","venue":null,"work_id":"24034272-81b7-456d-91da-6f8b774c6daa","year":2019},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.934850Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:0dca7def8a383598823c5cf6940559aa241a934038e740a76c9240f19dc715a0","observation_id":"5be4bdb3-5c60-4cdf-8aa9-a11381a0d662","resolution":{"observed_at":"2026-08-08T12:00:16.341881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.329984Z","title":null,"venue":null,"work_id":"2befaece-4437-4770-afae-d860789545fb","year":2019},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.938430Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:ba367596ddbb75219fb1d55749bb540fa494c09fe2fb70b606e1e08276b1d095","observation_id":"540ccd75-0497-4360-b786-df3b4a212885","resolution":{"observed_at":"2026-08-08T12:00:16.332755Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.321222Z","title":null,"venue":null,"work_id":"6e2288c5-f136-4330-bd59-c37ecc6a6488","year":2018},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.941853Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:6f9dc705136ad0cb6bc3e616d8b1fdcc7b1bd0e825a9eca9ac0256ca7c97621e","observation_id":"34e92c30-859d-45d8-89f7-7eae6d737288","resolution":{"observed_at":"2026-08-08T12:00:16.324104Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.311004Z","title":"Yairi, N","venue":null,"work_id":"0ad90599-70f5-4aa9-8af0-8ac422eac81d","year":2017},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.945357Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:6b421b4f1ad5665d397744c0fef6b33626cf3baf5ead4a0355113ba1266c9abb","observation_id":"002f5198-fc61-4c37-b6ea-0f4981d56edd","resolution":{"observed_at":"2026-08-08T12:00:16.314921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.300893Z","title":"et al., Contrastive Learning with Mixtures of Probabilistic PCA, Journal Name (Year)","venue":null,"work_id":"00309a7c-965f-4967-9efa-1f207526f766","year":null},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.952124Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:ce84968478ad6fa2c9f427b4c52007047caab06b56a920d5f91a09fcdc38cd3b","observation_id":"7719f17b-45a8-4879-ab36-0d2300140c63","resolution":{"observed_at":"2026-08-08T12:00:16.304483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.290827Z","title":"et al., Time-Series Contrastive Predictive Coding, Journal Name (Year)","venue":null,"work_id":"b477292a-f9c0-42d0-b9fe-2ec5daa0b490","year":null},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.955950Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:ff9ad795b07dcb74ccb95427cf9d673b4531507447ad435debba4af05da560bd","observation_id":"5642b517-3e60-4097-b540-9cb81afaf83f","resolution":{"observed_at":"2026-08-08T12:00:16.294247Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.280005Z","title":null,"venue":null,"work_id":"e118389f-2820-4f52-aaa3-d00e8dfaae6b","year":2018},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.959484Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:1b09023e1448cca9ce6ccd5171bdd046118c5260e77abe8f10d909a641d37bd2","observation_id":"2cf20690-5d63-4cba-ba0f-9c152689ac6f","resolution":{"observed_at":"2026-08-08T12:00:16.283326Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.270396Z","title":null,"venue":null,"work_id":"5c5b7bc5-ff1d-4f7a-bfcd-82968d9e2d07","year":2022},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.962897Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:a8fd364e8fe0d70555a7fdd2eeb445481636a819c6a79305fc5010b8cafcf0ea","observation_id":"5afd43ad-1862-4fe4-aac1-110db0f239b8","resolution":{"observed_at":"2026-08-08T12:00:16.273768Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.21105/joss.02179","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"The Journal of Open Source Software","work_id":"b05c64ec-ab0c-417f-ab48-2429429dddfd","year":2020},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.966986Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:b87f16134fefab694e42dcf1f5f65b4d6a4b4b6e5d6741a305199b7c7b33b2da","observation_id":"b2c16f72-8c93-4f07-af5e-da1ef9b68180","resolution":{"observed_at":"2026-08-08T12:00:10.009102Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.260279Z","title":null,"venue":null,"work_id":"8207acc7-88be-4fe0-9f85-9867357decd4","year":2012},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.970514Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:d34d446344d0968cf393cd2e46ed5e34c7d10ce09971a93192ba7f3fa576143d","observation_id":"352bf025-162b-458d-85fb-6b438318144b","resolution":{"observed_at":"2026-08-08T12:00:16.263869Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.250343Z","title":null,"venue":null,"work_id":"c1ce7fd3-38f8-4d21-8fa3-c08650ea23b6","year":2022},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.973788Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:f30e45da8ea5638e96fea401837d840ce67c5d6e54e67e799f187943d07af7f0","observation_id":"76265196-0c80-42c0-9810-ffea1b79a2f0","resolution":{"observed_at":"2026-08-08T12:00:16.253706Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-08T12:00:16.238458Z","title":"Paparrizos, P","venue":null,"work_id":"66bd816c-04e2-4a13-a724-d8dd9affa75b","year":2022},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.976892Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:7c267e7c9908143228a036834204f1dcab40b2338fc6c3a08256cabe3a9a783d","observation_id":"2da67ae8-ae31-4ef6-98d6-226f793f3159","resolution":{"observed_at":"2026-08-08T12:00:16.242077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:00:10.371592Z","title":"URL https://ieeexplore.ieee.org/document/7998252 32","venue":null,"work_id":"0b77ec33-6a6f-4ed8-a3b5-5dc9908b0862","year":2017},"citing_paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series","version":3},"reference_index":2809,"source":"pdf_text","source_observed_at":"2026-08-08T12:00:09.948708Z"},"links":{"citing_paper":"/paper/2502.07858"},"observation_digest":"sha256:745c2ad465b601d911877344f0b584aae0ab723c2e4bf0da0aa5bbdc829c6d85","observation_id":"96cc9439-13f2-4ce4-aa20-49093674f196","resolution":{"observed_at":"2026-08-08T12:00:10.376226Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.07858","last_updated":"2025-05-17T14:23:17Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-11T10:41:08.261508Z","submitted_at":"2025-02-11T16:22:06Z","title":"Mamba Adaptive Anomaly Transformer with association discrepancy for time series"},"reference_resolution":{"displayed":54,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":31,"verified_exact":7,"verified_fuzzy":15},"total_outbound_references":54},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2502.07858."}