{"as_of":"2026-08-20T06:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d78e954e62a833f1e1250b7e42fc836a168977639e633c4ae531724524df31f9","coverage":[{"denominator":43,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":43,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T20:13:45.420116Z","state":"measured"},{"denominator":43,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":43,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2411.09928/citation-record","integrity":"/paper/2411.09928/integrity","json":"/paper/2411.09928/citation-record.json","paper":"/paper/2411.09928"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T20:13:45.314802Z","title":"Multi-variate time series forecasting on variable subsets,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.314802Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:f93c971e9c1671baaedaebc22efa1f0a625525b29fd26bbb28cd77e9de0ba92d","observation_id":"8cb1f1e9-c31e-4877-bd3f-ae3e7d73d92c","resolution":{"observed_at":"2026-08-12T20:13:45.314802Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T20:13:45.318057Z","title":"Dish-ts: a general paradigm for alleviating distribution shift in time series forecast- ing,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.318057Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:8fdf22725385c49b55c9145c8cb26f5981825394249996f34e0c65a80b8023bc","observation_id":"4bceaeea-c060-4449-bc4d-dd4347babdb3","resolution":{"observed_at":"2026-08-12T20:13:45.318057Z","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":"2026-08-12T20:13:45.784577Z","title":"Deep learning for multivariate time series imputation: A survey,","venue":null,"work_id":"e62b1deb-e1ea-4e95-9b9b-f5fd660e6268","year":null},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.320842Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:ca79443b3b83e0cd103f93bad1c0c67df479f85e5061f12714d46641a0dbafe6","observation_id":"e13a12e7-7cff-4b72-bc2f-3eed081b2a44","resolution":{"observed_at":"2026-08-12T20:13:45.787051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.777585Z","title":"The internet of things: An overview,","venue":null,"work_id":"4994a31b-bc0f-47dc-8a16-2c1efe0fcb47","year":2015},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.326657Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:4d3fb66402cf2240e4cad408939f8a1ecc607e476dedd1289d6a26aff97401f1","observation_id":"e95b8875-8ee5-4bbd-81da-b0b782180c9a","resolution":{"observed_at":"2026-08-12T20:13:45.779938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.328880Z","title":"Time-series forecasting with deep learning: a survey,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.328880Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:60e3b2ecb021646dd5cd91414352a14d520e3ec599f14b14084428a5e1cd79e6","observation_id":"0458051d-77d7-45b2-b639-4e968340f950","resolution":{"observed_at":"2026-08-12T20:13:45.328880Z","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":"2026-08-12T20:13:45.766704Z","title":"A comprehensive survey on imputation of missing data in internet of things,","venue":null,"work_id":"1ab234b2-b95a-4af1-a506-274ab67a17c3","year":2022},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.331152Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:0ae4fb17eb5324cd03be6e496b05aa638041c277a495a6259c625b5b04fdffd6","observation_id":"2a2fc1f4-ab8a-4441-b22e-fb552696d538","resolution":{"observed_at":"2026-08-12T20:13:45.769404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.759599Z","title":"Turn waste into wealth: On simultaneous clustering and cleaning over dirty data,","venue":null,"work_id":"4720b501-2136-462a-a4d9-d669d8d1b63c","year":2015},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.333671Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:dbe3e46398733a03112920a55aa6b05bd09dcb9cfde7de011774354f6500e868","observation_id":"4015775c-ff89-4f51-adc5-a881cff14b42","resolution":{"observed_at":"2026-08-12T20:13:45.762120Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.751248Z","title":"Swapping repair for misplaced attribute values,","venue":null,"work_id":"8df96f5c-ad88-4f6c-a322-4fb06c194c3f","year":2020},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.335913Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:622773cd5740957af661911c5b623998254f277d79035264bc2ec9458ee46ba1","observation_id":"f661900d-c59f-4d52-8fb9-8dee2280e256","resolution":{"observed_at":"2026-08-12T20:13:45.754140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.338199Z","title":"Nearest neighbor ensemble,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.338199Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:86b6817c52ecfa029b8541a1069d0b310b14b3350edc9fa52094f3c19c0c679b","observation_id":"19c8e5ad-1ce1-47a1-9940-ae186d1952a4","resolution":{"observed_at":"2026-08-12T20:13:45.338199Z","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":"2026-08-12T20:13:45.737586Z","title":"Learning individual models for imputation,","venue":null,"work_id":"3a37a770-0643-4cbe-b6f2-c9e4e926bc65","year":2019},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.340439Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:b3883e482f246d4f00619c6303f7904de10e11c4862e72792d47e6bb9f6089b0","observation_id":"7c5c7e43-ce1e-4a00-9561-851481f02ea5","resolution":{"observed_at":"2026-08-12T20:13:45.740711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.342971Z","title":"Csdi: Conditional score- based diffusion models for probabilistic time series imputation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.342971Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:9db19172d829b051b39b7a13986e05712c59bcb07a00d0fb39f40217ab9c5070","observation_id":"8b9eb68f-08fc-4341-8ba3-1362bbc0ae4c","resolution":{"observed_at":"2026-08-12T20:13:45.342971Z","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":"2026-08-12T20:13:45.725934Z","title":"Saits: Self-attention-based imputation for time series,","venue":null,"work_id":"e70ad495-5fad-40ef-94c7-b50a6c06f4c2","year":2023},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.345351Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:9ed900e79bce16e065491081cd42600dfb338000dab2a5f5181e6552ff63175c","observation_id":"2699c815-2a74-4d0a-8e7e-805749acd0f7","resolution":{"observed_at":"2026-08-12T20:13:45.728449Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.347826Z","title":"Con- necting the dots: Multivariate time series forecasting with graph neural networks,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.347826Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:58d40496179f2f373b79d6854af8e655754cd28cd5134ceda1d1ec22d75d535b","observation_id":"2661b95a-d140-46e5-9260-e12fc9ee0f5d","resolution":{"observed_at":"2026-08-12T20:13:45.347826Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T20:13:45.350035Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.350035Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:50a0e486dd6818252de545d39b1a7461f282c068d3885df5b12034003ffda2e3","observation_id":"5a832865-58bf-433e-8c0e-00d61cceab06","resolution":{"observed_at":"2026-08-12T20:13:45.350035Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T20:13:45.352254Z","title":"Beyond efficient transformer for long sequence time-series forecasting., 2021, 35,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.352254Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:c86f1f7419d9cfc5560114a8763d453ef387709a96290a3b31a1dc053bc16428","observation_id":"68cfffcc-8557-4975-a066-8fb997a48c6f","resolution":{"observed_at":"2026-08-12T20:13:45.352254Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1803.01271","last_updated":"2018-04-19T14:32:38Z","snapshot_observed_at":"2026-08-13T10:37:24.864456Z","submitted_at":"2018-03-04T00:20:29Z","title":"An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.01271","snapshot_observed_at":"2026-08-12T20:13:45.354447Z","title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.354447Z"},"links":{"cited_paper":"/paper/1803.01271","citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:0f61f3228fd0fcada2a3c4977f2b32ef5a48cf98fbc9cae767ada0f273148d84","observation_id":"f94f2dc9-8a7d-4bc8-9885-afdeedb93b89","resolution":{"observed_at":"2026-08-12T20:13:45.354447Z","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":"2026-08-12T20:13:45.709781Z","title":"Informer: Beyond efficient transformer for long sequence time-series forecasting,","venue":null,"work_id":"2c4a1bc8-bf5b-45aa-add4-1f4b330b1aad","year":2021},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.357140Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:f1903ab8a07552916bd49f3b5db8242bf89c279435e253806290a71b5364cb69","observation_id":"496521b0-61f6-4f6b-bf9d-63715032e0e3","resolution":{"observed_at":"2026-08-12T20:13:45.712102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.703254Z","title":"Attention based spatial- temporal graph convolutional networks for traffic flow forecasting,","venue":null,"work_id":"4c45cd13-4392-489a-b250-10e9af4d3c32","year":2019},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.359249Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:ac74841db3132b94c583b9bac704e425b978ff4bd4e19828ceb4d8cdabf937ce","observation_id":"1b7b893b-0322-419a-9751-5892f55c5d7e","resolution":{"observed_at":"2026-08-12T20:13:45.705712Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.01861","last_updated":"2021-01-06T04:11:25Z","snapshot_observed_at":"2026-08-20T05:39:18.036602Z","submitted_at":"2021-01-06T04:11:25Z","title":"TGCN: Time Domain Graph Convolutional Network for Multiple Objects Tracking","version":1},"cited_work":{"arxiv_id":"2101.01861","doi":null,"metadata_source":"pith","pith_arxiv_id":"2101.01861","snapshot_observed_at":"2026-08-12T20:13:45.466417Z","title":"TGCN: Time Domain Graph Convolutional Network for Multiple Objects Tracking","venue":"cs.CV","work_id":"7d5c395f-001f-4f74-82d6-6be36158d368","year":2021},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.361685Z"},"links":{"cited_paper":"/paper/2101.01861","citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:8b179aaf5785a1a238322be4882ceda98ef0fb3453ea01bbcd8db82e231c5b44","observation_id":"6bf5fbd1-68c8-4ae1-a6cc-046233901fdc","resolution":{"observed_at":"2026-08-12T20:13:45.471039Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.696670Z","title":"Temporal regularized matrix factorization for high-dimensional time series prediction,","venue":null,"work_id":"dbf55dbf-ee43-40c1-aebb-fb3d2c227245","year":2016},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.364540Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:0de124db55f75b29db00f2dc4d985d2640362b1804d90aa83a50d1a126b8aee9","observation_id":"39c23dc0-dfbf-4017-b663-5d741ce17fcf","resolution":{"observed_at":"2026-08-12T20:13:45.699254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.689311Z","title":"Generative semi-supervised learning for multivariate time series imputation,","venue":null,"work_id":"a211103d-436d-4051-a453-349f3db51e2d","year":2021},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.366958Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:03c97db2adf0df601bde4b67e0061d051cf9d68d241683683cb9bc38ccfa0fbf","observation_id":"7ab225b4-b0ae-48f5-a5b2-93a08a81625d","resolution":{"observed_at":"2026-08-12T20:13:45.692710Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.680736Z","title":"mice: Multivariate impu- tation by chained equations in r,","venue":null,"work_id":"5b73ff59-d2e1-4102-8db1-94122fa37cb9","year":2011},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.369532Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:fe35a302068ea0b083f6f82eae222d83e090633975f205625a0636870ffb0393","observation_id":"f96e98f2-1375-44af-b674-c4b943194b84","resolution":{"observed_at":"2026-08-12T20:13:45.683981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.673296Z","title":"Time series data and recent imputation techniques for missing data: A review,","venue":null,"work_id":"1b918b48-0941-49db-8fe2-c0fce6445fea","year":2022},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.371676Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:05d0b3131127792c9cf6f417778634660f7bc26b48c61cddbc67704801529a9f","observation_id":"3cfe0efa-4814-4fd5-a906-d0ab07222bd8","resolution":{"observed_at":"2026-08-12T20:13:45.676036Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.664977Z","title":"Imputation of missing data in time series for air pollutants,","venue":null,"work_id":"47ab3f90-9bcf-41ad-8a51-ba137a1f4172","year":2015},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.374754Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:01a5f1fc99d60d6b7bae2f817305b80c4ac4d27e35985dedd141f9babef5736a","observation_id":"ead3a6d4-c97d-4bf7-b744-8f5388466a7d","resolution":{"observed_at":"2026-08-12T20:13:45.668269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.11347","last_updated":"2020-11-23T11:57:27Z","snapshot_observed_at":"2026-08-20T05:38:42.396565Z","submitted_at":"2020-11-23T11:57:27Z","title":"Time Series Data Imputation: A Survey on Deep Learning Approaches","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.11347","snapshot_observed_at":"2026-08-12T20:13:45.377542Z","title":"Time series data imputation: A survey on deep learning approaches,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.377542Z"},"links":{"cited_paper":"/paper/2011.11347","citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:c209a12715dc9077d1b95fb791ae860dff63465e4583b7d731d1a2f2eceba17a","observation_id":"5434b3b7-12c2-42c1-84f2-f9e29dd8fb36","resolution":{"observed_at":"2026-08-12T20:13:45.377542Z","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":"2026-08-12T20:13:45.657581Z","title":"Missing data imputation of magdas-9’s ground electromagnetism with supervised machine learning and con- ventional statistical analysis models,","venue":null,"work_id":"776ff570-499a-40e8-997c-38b43bb3b1ad","year":2021},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.380496Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:f1b78dc3a3713f641a80686d458376b1c76bb770ba7505ddb67e471b984ef52c","observation_id":"09b39c25-f64b-4ba2-8ed9-31db7b71401c","resolution":{"observed_at":"2026-08-12T20:13:45.660144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.649555Z","title":"Recon- structing missing variables for multivariate time series forecasting via conditional generative flows,","venue":null,"work_id":"b89fef17-fbf5-444c-8b23-f365f78f88a3","year":2024},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.383631Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:e791c07fb8d8d58b44dec3923f3378fc043823aefc3b9896072af9dc5a0726dc","observation_id":"fce62c5b-ee37-40e0-83c7-6c0be80c34e0","resolution":{"observed_at":"2026-08-12T20:13:45.652336Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.641308Z","title":"Spatial- temporal interplay in human mobility: A hierarchical reinforcement learning approach with hypergraph representation,","venue":null,"work_id":"9c7cef05-99d1-4b4a-9248-ceae8971bfc3","year":2024},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.386418Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:be56d1466c9af7dd072b92d351ca1d5a51047fb4386603d11a866516a848c202","observation_id":"83ec4361-1d51-4124-b757-8d3d9cee341a","resolution":{"observed_at":"2026-08-12T20:13:45.644643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.632587Z","title":"Exploring the limits of transfer learning with a unified text-to-text transformer,","venue":null,"work_id":"20f19d70-e0d4-4996-bfb6-ea0ae25c665d","year":2020},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.389170Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:89c534cc5211a3f388ef2bfea52c6149165c31445f8c9d3b413b462fd9f87e09","observation_id":"1f2ac6f9-9240-48be-8435-7d87c2de209d","resolution":{"observed_at":"2026-08-12T20:13:45.635761Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.392076Z","title":"Prottrans: Toward understanding the language of life through self-supervised learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.392076Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:28ad3ec93003f4323bf044b218541c395042ca86d331db32fa3e5c12f6cd8d79","observation_id":"9ec90ea4-6d68-43e0-9f69-355bddee5f26","resolution":{"observed_at":"2026-08-12T20:13:45.392076Z","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":"2026-08-12T20:13:45.620063Z","title":"Data2vec: A general framework for self-supervised learning in speech, vision and language,","venue":null,"work_id":"51a37aec-23ef-4644-a299-95f4c4c348c0","year":2022},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.395045Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:3c38799485700421b43ce03402bcbedc7b7d1b35d1a64653368de4d3f2343c31","observation_id":"24da40de-9568-4794-b42f-fbe1419a3143","resolution":{"observed_at":"2026-08-12T20:13:45.623084Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.07728","last_updated":"2018-03-21T03:21:14Z","snapshot_observed_at":"2026-08-14T19:34:07.960520Z","submitted_at":"2018-03-21T03:21:14Z","title":"Unsupervised Representation Learning by Predicting Image Rotations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.07728","snapshot_observed_at":"2026-08-12T20:13:45.397359Z","title":"Unsupervised repre- sentation learning by predicting image rotations,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.397359Z"},"links":{"cited_paper":"/paper/1803.07728","citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:d946db550ab420267f9656a1d8c972dd31618a5c2aab7ccec37ff7656baf6366","observation_id":"2b9006aa-c68f-4235-b610-74866bc8403e","resolution":{"observed_at":"2026-08-12T20:13:45.397359Z","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":"2026-08-12T20:13:45.612115Z","title":"Time-contrastive networks: Self-supervised learning from video,","venue":null,"work_id":"f9007e7b-0d1a-4152-9405-d7717b346f8b","year":2018},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.399971Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:f1c38d9cfcc4b3a6881b92d38721739edd13e4887a0664ba2d8c2aa3b752cae9","observation_id":"6321665b-dec7-4c76-9d74-e20fee9f2d98","resolution":{"observed_at":"2026-08-12T20:13:45.614580Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.402263Z","title":"Self-supervised learning for videos: A survey,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.402263Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:08bde3d7a2c9ebf82d056faaebf1aa4643575cc08de9ef8761e8ecb3857d7d84","observation_id":"eea4b0b7-7a23-40a1-8279-bd9a73299826","resolution":{"observed_at":"2026-08-12T20:13:45.402263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.10125","last_updated":"2024-04-08T15:38:59Z","snapshot_observed_at":"2026-08-20T05:37:30.258159Z","submitted_at":"2023-06-16T18:23:10Z","title":"Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.10125","snapshot_observed_at":"2026-08-12T20:13:45.404517Z","title":"Self-supervised learning for time series analysis: Taxonomy, progress, and prospects,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.404517Z"},"links":{"cited_paper":"/paper/2306.10125","citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:bcef983f446754ca3150f8d712c618ea5aa8e0ec8ea72aea2311f250bf18e04e","observation_id":"f5328145-e77c-451f-b2f5-c15413069016","resolution":{"observed_at":"2026-08-12T20:13:45.404517Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T20:13:45.407208Z","title":"A transformer-based framework for multivariate time series representation learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.407208Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:0ae8c7c7a013897b3fa12db30ceb20b85803e12dcf3896f87590ff6e34360d7e","observation_id":"8548e73b-060f-4e73-b7f6-b5a38f769346","resolution":{"observed_at":"2026-08-12T20:13:45.407208Z","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":"2026-08-12T20:13:45.595900Z","title":"Pre-training enhanced spatial- temporal graph neural network for multivariate time series forecasting,","venue":null,"work_id":"cfeb8185-46ef-4ab4-b42e-39fd1158810b","year":2022},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.409543Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:9464351aa3f709afdcfb24c254aa24da22b3ff3202a2e21ce903ce984c824d27","observation_id":"21e702c6-a270-4ce6-98dd-1bb045aff900","resolution":{"observed_at":"2026-08-12T20:13:45.598414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.411550Z","title":"Time-series generative ad- versarial networks,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.411550Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:0880ec97cc58a6116e88cbae89de95355bc0d34df602132c9edcbff56d7bc6a4","observation_id":"a3efad1b-f2b5-4ce1-8e3f-2a3602226f7c","resolution":{"observed_at":"2026-08-12T20:13:45.411550Z","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":"2026-08-12T20:13:45.583933Z","title":"Contrastive learning based self-supervised time-series analysis,","venue":null,"work_id":"a3c2cca9-e4d6-4a9e-a79c-a355324f4657","year":2022},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.413865Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:375b0de0ee05e8fb696e39ff817b7334d50c97825f2f09aa191cd6106ab3ba01","observation_id":"a07d2d47-e111-4bc3-a01f-64e1d45f3453","resolution":{"observed_at":"2026-08-12T20:13:45.586582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.576173Z","title":"Self-supervised contrastive pre-training for time series via time-frequency consistency,","venue":null,"work_id":"9acb262d-0407-4f29-9140-5b4be237b539","year":2022},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.415836Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:9ab2b629816ce74b55b8dcdc24ee3f385ed9f070841f28a9dadcfb849914ff42","observation_id":"90b4c965-7f39-47ee-9b49-08856b084eb4","resolution":{"observed_at":"2026-08-12T20:13:45.578992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.568557Z","title":"Self-supervised learning for time series analysis: Taxonomy, progress, and prospects,","venue":null,"work_id":"370530df-df64-42dc-9c3b-5b07321824fc","year":2024},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.418165Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:d4411662351dcc9c2f8e7e630ad85c45c4987e52859d09edc622fe077c04a231","observation_id":"c1940b1a-97a3-4136-969f-3fea5ed8058e","resolution":{"observed_at":"2026-08-12T20:13:45.571152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T20:13:45.420116Z","title":"Spatio-temporal self-supervised learning for traffic flow prediction,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.420116Z"},"links":{"citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:7ad56928e3f27b35aeddeb9a9794b4a2f9b910401562fa58a31858d924ddd246","observation_id":"aefd1e51-b8c1-4efc-a88d-782411a594ca","resolution":{"observed_at":"2026-08-12T20:13:45.420116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.04059","last_updated":"2025-05-20T10:57:10Z","snapshot_observed_at":"2026-08-16T14:20:59.077583Z","submitted_at":"2024-02-06T15:03:53Z","title":"Deep Learning for Multivariate Time Series Imputation: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.04059","snapshot_observed_at":"2026-08-12T20:13:45.323547Z","title":"Available: https://arxiv.org/abs/2402.04059","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-12T20:13:45.323547Z"},"links":{"cited_paper":"/paper/2402.04059","citing_paper":"/paper/2411.09928"},"observation_digest":"sha256:80e29fec33639c6eb7a729a0facfd109ecf017746989bbb565af8fa1e528ab09","observation_id":"9f407ebd-a484-455a-a976-1f070fb585ef","resolution":{"observed_at":"2026-08-12T20:13:45.323547Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2411.09928","last_updated":"2024-11-15T04:00:54Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-20T05:37:47.941311Z","submitted_at":"2024-11-15T04:00:54Z","title":"Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset"},"reference_resolution":{"displayed":43,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":17,"verified_exact":1,"verified_fuzzy":24},"total_outbound_references":43},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2411.09928."}