{"as_of":"2026-08-10T04:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d002062d6ed88f23c6c6af69597ed2b6c88103fb77d55b32ade8a6386483f25a","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":"2026-08-09T04:34:24.783920Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2502.03571/citation-record","integrity":"/paper/2502.03571/integrity","json":"/paper/2502.03571/citation-record.json","paper":"/paper/2502.03571"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T04:34:25.476691Z","title":"Boyd and L","venue":null,"work_id":"485168c6-662d-4afa-b643-c0e3757ada5a","year":2004},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.609865Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:2d5e96ddea166da878783aa766e26dc20a41ad2507e140a3f46c18176b658fb1","observation_id":"0c9c8acf-9795-4f64-9660-cd856adf7e7b","resolution":{"observed_at":"2026-08-09T04:34:25.480047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.08469","last_updated":"2025-02-20T16:48:08Z","snapshot_observed_at":"2026-08-07T22:48:00.977813Z","submitted_at":"2023-08-16T16:19:50Z","title":"LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.08469","snapshot_observed_at":"2026-08-09T04:34:24.614124Z","title":"Chang, W.-Y","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.614124Z"},"links":{"cited_paper":"/paper/2308.08469","citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:e86c3053363ea725d7348defc23066aa295de3003bdac270057da64aba734c84","observation_id":"9450f5bb-598e-4035-9149-d569fdde36fb","resolution":{"observed_at":"2026-08-09T04:34:24.614124Z","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":"2026-08-09T04:34:25.467380Z","title":null,"venue":null,"work_id":"8ee8d985-518d-4f4b-b073-40ccabde5916","year":2018},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.617860Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:e21bfb3a4c4bfb6bf1ab52b7dac86a0d0908b0b9eb9fc45f5be95e7209762938","observation_id":"d4344725-4196-452f-87c1-cfc18389d77e","resolution":{"observed_at":"2026-08-09T04:34:25.470548Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.458060Z","title":null,"venue":null,"work_id":"a1fd863c-0f44-455b-a424-a1716f6e70b7","year":2020},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.621199Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:d5ba1d657badd5a28b8df4e701c2c6fb029a0624bb5d1dea5b0832d1542582b9","observation_id":"2362a84a-ed3d-4cf1-ac5d-6c19b56d0f1c","resolution":{"observed_at":"2026-08-09T04:34:25.461126Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.448918Z","title":null,"venue":null,"work_id":"c88bca39-0dfc-490a-82b2-6876dbe5bbfc","year":2014},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.624783Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:2b707d355ff57121cf3115d9315290288b91f7e59e4102fb5c9c51bf0f8462b4","observation_id":"f12ea419-0267-43b2-8e2b-280a0b9abb6e","resolution":{"observed_at":"2026-08-09T04:34:25.452181Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.439325Z","title":"Cohen, Y","venue":null,"work_id":"092a0192-7b16-47b3-862b-137f1b667a52","year":2009},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.628180Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:650f427e9638baa227045d725082500369ceb6c36d759bd77a66bd1659c2815e","observation_id":"e18bb891-0b83-4f1d-927a-f405152778ca","resolution":{"observed_at":"2026-08-09T04:34:25.442696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.429980Z","title":"Fifty, E","venue":null,"work_id":"1e62951c-a00c-4310-aac3-6695748fe907","year":2021},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.631768Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:6d308718b6c6ce4c04232fad58daba22f62177f904d1a452371b58c225b3ad5a","observation_id":"9fe07771-3d7b-4a1b-9da3-5f36b788068b","resolution":{"observed_at":"2026-08-09T04:34:25.433190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.420219Z","title":"Goodfellow, Y","venue":null,"work_id":"7a027caa-1418-4fe4-8af1-afb21e9559e2","year":2016},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.634818Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:97287adbffd7da19905b28a5887ae6bf5ba616051381327b12c95a95d690a6ab","observation_id":"e92e6500-dcea-4681-b69c-f893f44955a9","resolution":{"observed_at":"2026-08-09T04:34:25.423664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.410647Z","title":null,"venue":null,"work_id":"5af2c9d2-d017-4c6d-a305-acdb33906c33","year":1969},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.637813Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:86463f24ef1a98140f2054e35d571dda517e15d98c2f6bc7d61af1770ddf0410","observation_id":"d6676968-6162-4b89-b80a-020903b4bae6","resolution":{"observed_at":"2026-08-09T04:34:25.414001Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.401550Z","title":"Groenendijk, S","venue":null,"work_id":"87b58f47-0077-4aa6-9560-580aee54944f","year":2020},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.641014Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:45297133b5771ce51c9f914510280f9d3901e0e8289b442671f52a7580669634","observation_id":"a6ef7626-ad2a-40d1-bbc0-818c18167d2b","resolution":{"observed_at":"2026-08-09T04:34:25.404678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.392225Z","title":"Guangyuan, Q","venue":null,"work_id":"4d18bfba-bfeb-488e-bf1e-a836ce8800ac","year":2022},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.643983Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:25b9fe07e2131417546b121c52a0253d69c34a04419bf9a4abf433d2559beda4","observation_id":"2981ff5a-2f5e-4258-8fc1-e9e12270dbe4","resolution":{"observed_at":"2026-08-09T04:34:25.395429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.383105Z","title":"Hastie, R","venue":null,"work_id":"f646ae5f-41e0-442e-9c9a-c392a6afd45f","year":2009},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.647104Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:fb93e5d79a7dad8071d5b20091898f3ca4f40737649e6448d0dd64f76430cd9d","observation_id":"53bc2ccb-64ff-44ba-8f00-6bebeb999ead","resolution":{"observed_at":"2026-08-09T04:34:25.386281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.373992Z","title":"Hochreiter and J","venue":null,"work_id":"bb156d28-da53-4ab9-b757-b718b02643cf","year":1997},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.650521Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:2b4f005d84246709b604df88b0d3ab087a61d99fcab14e10a6522e9ebd59707c","observation_id":"50f1ab01-2586-42ef-8fb3-41aae5f2aea0","resolution":{"observed_at":"2026-08-09T04:34:25.377150Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.364495Z","title":"Ishihara, A","venue":null,"work_id":"e7770a90-e482-482e-82b1-ae1e2bf2e94d","year":2021},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.653608Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:e48fcba791922efd6f1df40a7542ad5c901b9a7d3629519057b554f8e97dd482","observation_id":"76363af7-6012-4faf-b5f9-d0dc0d52cd3f","resolution":{"observed_at":"2026-08-09T04:34:25.367981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.355343Z","title":"Kaufman and O","venue":null,"work_id":"11aaa9ac-20e2-45a1-9cee-c7386784d08d","year":2023},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.656508Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:b689bd381eb1bc81c84c601300df4f0088af8379bdec29b607ca1fad6890a900","observation_id":"a66270dc-fdbc-483c-bc81-0add854378f5","resolution":{"observed_at":"2026-08-09T04:34:25.358475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.345874Z","title":"Kaufman and O","venue":null,"work_id":"61787cd2-c8d8-495b-b2ec-2b1f93be580e","year":2024},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.659791Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:38abfdf7aeccbccb2fd317365c1e5388341ad2c0b285d0ffed8170d204aab4d1","observation_id":"a48c7106-7665-4b75-ad79-478d44a50641","resolution":{"observed_at":"2026-08-09T04:34:25.349200Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.336429Z","title":"Kaufman and O","venue":null,"work_id":"141af083-8366-4cad-b4ea-0f3ce4702199","year":2024},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.662914Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:91d132dee3e9b83e4797d9e9ba8fe1bd50e2984c2ab5832ace3bdbda440deb9e","observation_id":"a90e8300-0710-4942-8039-d52738954f90","resolution":{"observed_at":"2026-08-09T04:34:25.339640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.327234Z","title":null,"venue":null,"work_id":"f613ae53-c5f9-484a-a154-f6f7a5ed7e39","year":2018},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.665900Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:f5eedcbdc910d6da2f845515829b405ab2499ffeb09b33542951a80bcdfdd9a0","observation_id":"3c35e18f-2a1d-4087-b438-1702b1d00ebd","resolution":{"observed_at":"2026-08-09T04:34:25.330399Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.10721","last_updated":"2026-05-17T02:25:14Z","snapshot_observed_at":"2026-08-03T04:41:00.104637Z","submitted_at":"2023-05-18T05:39:46Z","title":"Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.10721","snapshot_observed_at":"2026-08-09T04:34:24.668929Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.668929Z"},"links":{"cited_paper":"/paper/2305.10721","citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:19d41a285bf26eebbde7b428650478097faa95dd35428dc3a38f547385f249da","observation_id":"7801466e-4bee-4f34-9461-ac92369d6209","resolution":{"observed_at":"2026-08-09T04:34:24.668929Z","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":"2026-08-09T04:34:25.318175Z","title":null,"venue":null,"work_id":"a201a9ff-35e6-4581-a2a1-e98df3aa39c1","year":2021},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.672459Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:2fe074afb878fad5f9cf08cb1d0bc33d7ea8f412f1b3347171e6148146d66445","observation_id":"81525ed7-e89b-40f2-a746-ae995e522c8a","resolution":{"observed_at":"2026-08-09T04:34:25.321242Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06625","last_updated":"2024-03-14T11:45:57Z","snapshot_observed_at":"2026-07-06T16:30:29.783501Z","submitted_at":"2023-10-10T13:44:09Z","title":"iTransformer: Inverted Transformers Are Effective for Time Series Forecasting","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06625","snapshot_observed_at":"2026-08-09T04:34:24.675721Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.675721Z"},"links":{"cited_paper":"/paper/2310.06625","citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:efd12f7bb0eb5287474c8ac9f5d032c90e88ae1b97f3e2d7a09c6d4d22aa2fa7","observation_id":"a3804576-f5b3-4108-88b1-52a853c19600","resolution":{"observed_at":"2026-08-09T04:34:24.675721Z","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":"2026-08-09T04:34:25.308473Z","title":null,"venue":null,"work_id":"85364063-5084-4bd3-a2c7-bb8dc684d763","year":1930},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.679357Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:ba438ed44e7362b74cf553eeed96cf8bfb03e3091ea8481d03de61452aabd80a","observation_id":"4c1886ca-cb2c-4312-b07c-78b3c12c4777","resolution":{"observed_at":"2026-08-09T04:34:25.311587Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.299371Z","title":"Misra, A","venue":null,"work_id":"82e8c74f-3fc8-4044-82ec-0b7984644809","year":2016},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.682500Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:c933ff459a4c79a95c07757501c648eea6a00a054d4793bc0cec34607962b786","observation_id":"d9e1d412-4392-440e-9e56-06358eadac7e","resolution":{"observed_at":"2026-08-09T04:34:25.302439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.289772Z","title":"Naiman, N","venue":null,"work_id":"fe92a4ba-c894-42d3-97d5-1e39ead51db5","year":2024},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.686137Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:7a3f08f05d4e1e147932d8e24e0b21025d3833a7e3216107082c97e944edb058","observation_id":"6d9b788b-70f8-476e-8ae8-0e326092d7ac","resolution":{"observed_at":"2026-08-09T04:34:25.293292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.279643Z","title":"Naiman, N","venue":null,"work_id":"eff4c7d8-e028-4ed0-b936-cbbec760404f","year":2024},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.689331Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:fd0790f81270191cb7425baafe89ba43d56ad4ce05be293a6d1f59bbe2aca4d3","observation_id":"f9f5c1c2-a8ed-4feb-b830-a15231704184","resolution":{"observed_at":"2026-08-09T04:34:25.283044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.270077Z","title":"Navon, A","venue":null,"work_id":"374cc7c5-59a9-462c-9589-49a41172f934","year":2022},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.692745Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:6af010004bf1f70df2ee638d73724ee925bc053b86ce78dae266875600f16f90","observation_id":"ca817b62-8fe9-45b0-81a8-991b2b8c0197","resolution":{"observed_at":"2026-08-09T04:34:25.273354Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.260275Z","title":null,"venue":null,"work_id":"801f6297-8a45-4832-be37-67151e35d40d","year":2023},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.696015Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:4461e2ad9423935594e08a23db250e8ac21edda21cb6512833bdb62ca8406ea4","observation_id":"8be2c02a-7348-4f1f-a424-418dc609b57a","resolution":{"observed_at":"2026-08-09T04:34:25.263595Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.15743","last_updated":"2024-11-24T07:44:39Z","snapshot_observed_at":"2026-07-06T19:56:04.259325Z","submitted_at":"2024-11-24T07:44:39Z","title":"Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.15743","snapshot_observed_at":"2026-08-09T04:34:24.699433Z","title":"Nochumsohn, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.699433Z"},"links":{"cited_paper":"/paper/2411.15743","citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:4a263e0815f57a8a2c3cb0398d001d6c692a3ee3dc27f3535fee13c46fe916f7","observation_id":"deaae3d0-5d4a-4fc0-9e9d-9f06cd1233c8","resolution":{"observed_at":"2026-08-09T04:34:24.699433Z","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":"2026-08-09T04:34:25.250738Z","title":null,"venue":null,"work_id":"602b3e56-f01e-48f7-b358-3c27c870e1f8","year":2020},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.703329Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:7e34c7f1dc752b80a21f56c74b4967462cf1f60770538fc6517780ef102aadaf","observation_id":"ff565ed3-30d3-41c8-ada8-45c45d95a170","resolution":{"observed_at":"2026-08-09T04:34:25.254081Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.241124Z","title":"Pascanu, T","venue":null,"work_id":"7765f86a-7ba4-4f4a-8880-459fc26003a5","year":2013},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.706620Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:be8c0ccb71945f4286a38b620312142755b2c99255d95830e2679b243b471bee","observation_id":"ca11140b-27be-48a0-81f6-2bb310818f94","resolution":{"observed_at":"2026-08-09T04:34:25.244506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.231633Z","title":"Paszke, S","venue":null,"work_id":"aca6dd81-92fb-44e2-9ecb-061ed8a9e24c","year":2019},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.709780Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:d0962c8548f96b42314cfb341a37a2b2e0173123d27708a2bdfa00bdada603ae","observation_id":"f53e815c-9f40-4622-b9dd-a44b67cfb84f","resolution":{"observed_at":"2026-08-09T04:34:25.234786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.15089","last_updated":"2024-07-21T08:23:37Z","snapshot_observed_at":"2026-07-06T18:49:38.316515Z","submitted_at":"2024-07-21T08:23:37Z","title":"Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.15089","snapshot_observed_at":"2026-08-09T04:34:24.712739Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.712739Z"},"links":{"cited_paper":"/paper/2407.15089","citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:3dff9c62f5e3bd9898a139907a8831c2e084c06b8dbc7e4f1cfd2d5190dc1f94","observation_id":"2141768a-b9fe-4e47-9bfe-6a5ca866ea18","resolution":{"observed_at":"2026-08-09T04:34:24.712739Z","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":"2026-08-09T04:34:25.221965Z","title":"Salinas, V","venue":null,"work_id":"c377c4de-53d6-4593-ae5e-ee7a4dc1741a","year":2020},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.716401Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:e6a31c65b37fb179f5d9313dd17ae734819086489631c44dac2fd62ebaf9dcfc","observation_id":"aa41b075-6ca4-4eed-9030-a3f429d6463e","resolution":{"observed_at":"2026-08-09T04:34:25.225412Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.211620Z","title":"Schreiber","venue":null,"work_id":"58ff41b7-b42c-439a-bf94-1f21028e229b","year":2000},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.719589Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:3536d59da49a41ea9891992be853459f0ae1b8272ca6948cf46ec24177a6faa7","observation_id":"d34c2324-a752-4ea8-b901-1a02c17062a1","resolution":{"observed_at":"2026-08-09T04:34:25.215137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.201694Z","title":"Sener and V","venue":null,"work_id":"e497be43-9c72-4b72-8419-c8664b04d2e7","year":2018},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.722512Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:58d0512dd12f796d2a15f8e23b0af75da6dc4a2596e2cded08f89aa43ef31e13","observation_id":"82ddf6dc-15e0-4f6e-b430-e3644f57c8c5","resolution":{"observed_at":"2026-08-09T04:34:25.205076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.191537Z","title":null,"venue":null,"work_id":"9a44f2fa-b9a2-43db-92a1-883d786db42b","year":2022},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.725712Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:68bbe92a22db2db198e24d764b48b95e19f2adcbe61c52423b18a76cbed94e99","observation_id":"74020672-77de-4ce9-8570-6d96e92405ca","resolution":{"observed_at":"2026-08-09T04:34:25.194893Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.181176Z","title":"Standley, A","venue":null,"work_id":"767dc7c6-947d-458d-a79a-51e44a2891a8","year":2020},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.728995Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:aeacb2c9c00a5efae099d225d4bc060cbe512175a7b241dafc156c3683f113a7","observation_id":"faeacdc0-673b-494b-a451-3596f4c2d0ec","resolution":{"observed_at":"2026-08-09T04:34:25.184578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.171333Z","title":"Vandenhende, S","venue":null,"work_id":"98244659-ee50-4681-9563-e6d8a1fe8dec","year":2021},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.732060Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:2cb5d772d9dca64c1a33026b18cd53f087044700f77dc435f4a0c2fd552867b7","observation_id":"fec73173-4a3a-463f-b3b5-a4f83d76e512","resolution":{"observed_at":"2026-08-09T04:34:25.174663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:24.735051Z","title":"Vaswani, N","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.735051Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:586595e3f824347eee235ace402a2680c6deadf7a2869a351ccd11c1cfd1bdf0","observation_id":"ed0e5e71-4350-460a-862f-53b3b0180b22","resolution":{"observed_at":"2026-08-09T04:34:24.735051Z","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":"2026-08-09T04:34:25.155969Z","title":null,"venue":null,"work_id":"50859637-faaf-4630-a72e-4c3f0301c8e9","year":2021},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.738116Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:8f6781ad9c25df0e14a7813e87ab739b8bda061b4caa759bddc25ac49527c8e5","observation_id":"dc85f83a-f629-4567-a946-8426c2083eec","resolution":{"observed_at":"2026-08-09T04:34:25.159262Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.12095","last_updated":"2024-02-16T02:23:12Z","snapshot_observed_at":"2026-07-06T15:29:57.940337Z","submitted_at":"2023-05-20T05:16:31Z","title":"CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.12095","snapshot_observed_at":"2026-08-09T04:34:24.741170Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.741170Z"},"links":{"cited_paper":"/paper/2305.12095","citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:0587683bca343917e518861853d6e26c18081a42c690f0f3141e88eb9f4d8a73","observation_id":"40df49cf-ac6b-4e33-960c-7b816ca17c56","resolution":{"observed_at":"2026-08-09T04:34:24.741170Z","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":"2026-08-09T04:34:25.146812Z","title":null,"venue":null,"work_id":"5fa7961e-5a06-4b56-8eb6-838dd0f40015","year":2020},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.744669Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:fbc41da17945d8fc002245f4ff2ff330b4a1f22f2f3980a7296dc5df564a17c0","observation_id":"69c4364b-8d64-4de4-bc51-3f84d7f896c7","resolution":{"observed_at":"2026-08-09T04:34:25.150101Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.136868Z","title":null,"venue":null,"work_id":"c6b06391-9f59-45cc-b3da-73cd02d459a9","year":2018},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.747684Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:2cc7cb803051a670b777799e90d990d7997d0b03a6515c43f9f137e560f6e3f8","observation_id":"105a9dc1-f435-4cd3-ba24-9aafc9f1ca00","resolution":{"observed_at":"2026-08-09T04:34:25.140778Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.127298Z","title":null,"venue":null,"work_id":"3164ec73-bf0f-4182-afd2-9a31f86874fc","year":2023},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.750833Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:7188254dbfed479237c7b7b4dc210be60a739d82d915ba00cd41c2f72270fe35","observation_id":"2fdb5999-2ae8-4bdb-943b-30714e16607d","resolution":{"observed_at":"2026-08-09T04:34:25.130751Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.117642Z","title":"Zhang and J","venue":null,"work_id":"8924a6d1-c044-44bf-9729-51aa5e595e03","year":2022},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.754100Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:fe5825f3256fad9597a9d03f6acaef7e4895f62a3affea4ed046d4c1a1c5224a","observation_id":"5d7c3952-098a-408d-a342-351791733e6b","resolution":{"observed_at":"2026-08-09T04:34:25.121027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.107787Z","title":"Zhang and Q","venue":null,"work_id":"d342f099-b6cf-442c-abbd-5d992dc7be4c","year":2021},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.757165Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:a5819800aaadf43f4bdeef893a1d3198ce48cd300144a3d11a9f39b7d5cc229b","observation_id":"0d950303-cf4a-43a3-a8c5-812c1d7be58a","resolution":{"observed_at":"2026-08-09T04:34:25.111179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.098309Z","title":null,"venue":null,"work_id":"3ee4ef79-bff1-4dc3-9997-ee42d8aaac9b","year":2021},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.760273Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:92daec9331a7c9544c303217626dbdbcada5699c3dc4fde22cfe6a19d613f463","observation_id":"6fdad44c-0e8d-4626-9bd9-93422b786795","resolution":{"observed_at":"2026-08-09T04:34:25.101644Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.088304Z","title":null,"venue":null,"work_id":"69ca7d52-4995-4053-bd32-85a0cbf47ec8","year":2022},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.763305Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:7383df6ac41a8499ae30f21310dc051b37f0c1a843212581955192e732c8d88f","observation_id":"53e526a1-b033-4366-b23b-896ca5914e5c","resolution":{"observed_at":"2026-08-09T04:34:25.091591Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:24.965892Z","title":null,"venue":null,"work_id":"2965090b-c685-4cdc-9f74-d3ada39c31fb","year":2023},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.766369Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:a4d3a2c7c99489d2e40c4cd50c8ac6b01d76d868f03b52f89b045bdca73e51ce","observation_id":"c7158a67-d1a3-4ebd-bbc6-c5b82a0a2968","resolution":{"observed_at":"2026-08-09T04:34:24.971777Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.077799Z","title":null,"venue":null,"work_id":"3a1d269b-6db5-4b8b-bed0-c2a9b7ccca10","year":null},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.770486Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:0c0b432fbe102bb29d4a6fb1c2686fb3ca5746e1f942c1258d4663fbcdec3575","observation_id":"489a4729-9744-40e1-835c-89b501d29240","resolution":{"observed_at":"2026-08-09T04:34:25.081251Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.067995Z","title":null,"venue":null,"work_id":"f2389c9d-1491-4a5c-91a3-b501df33f002","year":null},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.773959Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:89147a51a472533ae8c0b01d20a9a1d18fd5b07cd785aca62790b6467e6c00e9","observation_id":"2263a19e-210f-44de-9472-cf1e62ea699b","resolution":{"observed_at":"2026-08-09T04:34:25.071332Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.058169Z","title":null,"venue":null,"work_id":"40074996-87f5-4d7a-a13d-da2be1ce4b7a","year":null},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.777072Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:b0487ab652a4f348cfb36872f68d87566e7a3d4283449980b786ff4fcb316fb6","observation_id":"abee5eb7-0037-43d6-8aa8-b424ace246a3","resolution":{"observed_at":"2026-08-09T04:34:25.061703Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.048061Z","title":null,"venue":null,"work_id":"b17b9ce2-f4fe-4a03-8e29-e292d312bdb5","year":null},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.780644Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:56bfcb45d29592e644cf0e09fd0a3a25b5ede0a072d2389a523d20af8e821a7f","observation_id":"41b8e9ae-bdea-45f1-8b13-fbd1fec603e4","resolution":{"observed_at":"2026-08-09T04:34:25.051446Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T04:34:25.037185Z","title":"[Not Applicable] (b) Descriptions of potential participant risks, with links to Institutional Review Board (IRB) approvals if applicable","venue":null,"work_id":"1cd6506d-1b58-4ba2-adaa-8043ef0cbf2e","year":null},"citing_paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-09T04:34:24.783920Z"},"links":{"citing_paper":"/paper/2502.03571"},"observation_digest":"sha256:399cd967d55d8ae673f7b458732b72dbb1b4c3807cb86d69a82221a74fccbdeb","observation_id":"d17345ac-9825-4c4a-8d6a-40f83fd8cc69","resolution":{"observed_at":"2026-08-09T04:34:25.041669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.03571","last_updated":"2025-03-15T08:39:16Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T04:27:10.655674Z","submitted_at":"2025-02-05T19:34:23Z","title":"A Multi-Task Learning Approach to Linear Multivariate Forecasting"},"reference_resolution":{"displayed":54,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":27,"verified_exact":1,"verified_fuzzy":26},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2502.03571."}