{"as_of":"2026-08-16T10:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:00875cc3fc9ea5b0d5d38e8a045091c7fc61141bace6ba231b92f609ee358108","coverage":[{"denominator":40,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":40,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T12:18:19.499144Z","state":"measured"},{"denominator":40,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":40,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/1908.07674/citation-record","integrity":"/paper/1908.07674/integrity","json":"/paper/1908.07674/citation-record.json","paper":"/paper/1908.07674"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:18:20.168412Z","title":"Huang, J","venue":null,"work_id":"d13e86ce-a799-4e21-8018-4f609a48a4af","year":2013},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.272773Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:452dc0a2a421209c2b5eca12e43146b91e8c694f7e7426f82e94e659ae6c8258","observation_id":"425bcb3c-3046-4625-8635-b9e7effe0b58","resolution":{"observed_at":"2026-08-14T12:18:20.173510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:20.150253Z","title":"Vuran, O.B","venue":null,"work_id":"4ad17427-6143-40d7-abec-a56e6ece383e","year":2004},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.280903Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:cb88cd170301710833194aad62af9c867e1a4ee4ddb1fcdc6b367bd27189d2dc","observation_id":"a72cb105-79c1-4789-816f-3cb76f5a5a86","resolution":{"observed_at":"2026-08-14T12:18:20.155709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:20.131962Z","title":"Kramer and T.A","venue":null,"work_id":"ae8c48a3-0fe1-41ae-a987-dde4e6af8302","year":2012},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.289086Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:6851c5463823079b27400136ce34708dfa2e1272c88eae3d7beffedc2d97ef87","observation_id":"afbed32f-f256-4e63-8732-a9fbb32b6293","resolution":{"observed_at":"2026-08-14T12:18:20.138116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:20.115975Z","title":"Liu, Y .-F","venue":null,"work_id":"f5dfc2f7-788b-4104-9f63-3d8ba54e971e","year":2012},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.296766Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:aec4820919e3a180f2272f391e61d7507aa77b791bc15c5efb07128e3e399c12","observation_id":"dc3e21f4-0518-4d2d-b03d-13fe260ac4cb","resolution":{"observed_at":"2026-08-14T12:18:20.121012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:20.099662Z","title":null,"venue":null,"work_id":"e6cafa89-3522-405e-a898-9f57b9e8a6c3","year":2017},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.303395Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:3bd9ba6376a8763ad6b80bfe5d57ce7b8788b78bbfe9ed323cce5db71d627e9e","observation_id":"73f24847-4fe5-400b-a81a-073debed0011","resolution":{"observed_at":"2026-08-14T12:18:20.104999Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:20.082793Z","title":"Dutta, F","venue":null,"work_id":"8d9e78b2-9966-4f79-9483-bbb3d9c04d3a","year":2016},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.309824Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:effaf4f569e14d9e50deb758aa13605743f059f9ab046a1c881a357dc6cb25ce","observation_id":"c23fd8cb-3e11-4d56-850c-a41a614df839","resolution":{"observed_at":"2026-08-14T12:18:20.088065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:20.064731Z","title":"Shaban, A","venue":null,"work_id":"84fbb2ad-ba16-43e7-9c30-9fab6981a1fd","year":2016},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.316418Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:ae3eced9d07d72c001b43991b2fefd126c1cc0511df9644e9638795330c25d11","observation_id":"105cab0e-6196-40da-8c49-5705a84f4315","resolution":{"observed_at":"2026-08-14T12:18:20.070514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.322063Z","title":"Akyildiz, W","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.322063Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:c6446fba484c7fb8af609f4bb68834aa35c743dbc690a91474baa364c2441685","observation_id":"95ea6604-6c6b-4369-8ef0-a153f43f9536","resolution":{"observed_at":"2026-08-14T12:18:19.322063Z","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":"2026-08-14T12:18:20.035014Z","title":"Costilla-Reyes, P","venue":null,"work_id":"44c8c845-884e-44e6-93f6-65a7f9e00c44","year":2018},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.327288Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:3d4d43d724fd11851dcacfb81b078622949a3ad01df2d1242e412076e6fa4d7e","observation_id":"a9fb9a5d-e661-42d5-80f5-5e1ffde9e8d4","resolution":{"observed_at":"2026-08-14T12:18:20.041135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:20.018147Z","title":"Gokaraju, S.S","venue":null,"work_id":"651610f5-0a64-4100-8b3c-4c220b01a91d","year":2011},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.333740Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:6c12bc41fb89ba662a2ee8f4f3fbe51359618678b65db17adb174b4b51d9bcf3","observation_id":"12c42b63-f38b-465f-b7c3-ac944fe4664e","resolution":{"observed_at":"2026-08-14T12:18:20.023228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.999070Z","title":"Zhang, I","venue":null,"work_id":"85037e06-36ce-4275-9255-c2ccbe7e9ab1","year":2018},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.340072Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:db1a10e754f58d0c002e2ff7f8a37eaa0a112ddcabd27bb99acec5128771cf0a","observation_id":"3cadf09b-5664-4cf2-9206-450234a8512c","resolution":{"observed_at":"2026-08-14T12:18:20.004619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.981782Z","title":null,"venue":null,"work_id":"1494b341-cd9b-4df2-a59f-439285b5c7d9","year":2017},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.345450Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:0553b161179e6f9fdaa7574e374b777d1e47881495de481f7b49e9d295d4fa72","observation_id":"5265deb0-e9b4-4a0f-bcb0-5b2e8ab3bb84","resolution":{"observed_at":"2026-08-14T12:18:19.987104Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.965760Z","title":"Barcel-Llad, A","venue":null,"work_id":"c3025924-5daf-4aa2-bed9-9a7d496c5579","year":2014},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.350481Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:77afaa397f43b919cb07168cefcb5fbd723c65d30cc6f22a4804edcf516736bb","observation_id":"0e4a4fdf-b0bf-4800-8712-5b722c0586cd","resolution":{"observed_at":"2026-08-14T12:18:19.970867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.948377Z","title":null,"venue":null,"work_id":"c935dcff-0712-47ee-9f31-d6c3ae369db2","year":2009},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.355423Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:1526dde52f300f5a009ef10f596c04b599dd3424f78ff063906998c5d6e264c9","observation_id":"cded300b-748d-4206-a6da-c84b45f477b8","resolution":{"observed_at":"2026-08-14T12:18:19.953224Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.362134Z","title":"Alasti, A","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.362134Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:a4ac1fdf4eee726a73fa9cac13e6440ceb2563d72a04b56d2e662e816331058f","observation_id":"4796de05-a570-4d21-90d4-3094c11bd2ff","resolution":{"observed_at":"2026-08-14T12:18:19.362134Z","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":"2026-08-14T12:18:19.919038Z","title":"Marvasti, Nonuniform Sampling, Kluwer Academic, 2001","venue":null,"work_id":"d41d5ccf-8f09-4b5e-aa15-8c433e470608","year":2001},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.368059Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:8078d9ac679e2a3435b2620803699c83b6efc9be725b1f2af6baa4d39906b4c9","observation_id":"c4ff46df-4087-4b29-86d0-78c3d8c1ecec","resolution":{"observed_at":"2026-08-14T12:18:19.924740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.900943Z","title":"Guan, S.S","venue":null,"work_id":"99fb06ce-23e0-4d58-a015-2ec86fb29929","year":2008},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.375486Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:c00eb92b0465c1989875b5d50982b26d941ab8b1c2a90b483f1f12c063e28ae3","observation_id":"04dab65b-8c35-47bb-aa45-d704ebb05547","resolution":{"observed_at":"2026-08-14T12:18:19.906315Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.884627Z","title":"Candes, Compressive sampling, in Proc","venue":null,"work_id":"ac0c030a-b1b1-4f86-addf-0a3d5b3cfd35","year":2006},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.380905Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:8a5e0e22a43b05f87dcb84369d72364fdf34bd022315e346d7733bdc7f82667c","observation_id":"0aece592-ec34-4ffc-8340-203f2fe9400a","resolution":{"observed_at":"2026-08-14T12:18:19.889700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.863532Z","title":"Donoho, Compressed sensing, in IEEE Transactions on Information Theory, vol.52, no.4, pp.1289-1306, April 2006","venue":null,"work_id":"7be07096-079c-4baa-b54a-af5cc00faf68","year":2006},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.387123Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:66a0fc7028cd6a07794e8494ef5fbbbc49305838f45c3d41b175a2a429b69f2d","observation_id":"aecd035e-b265-472e-992d-ef1bca37c29a","resolution":{"observed_at":"2026-08-14T12:18:19.870699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.845884Z","title":null,"venue":null,"work_id":"41fa0b30-f763-4d25-a4a1-ccbe17e3d97c","year":2013},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.393762Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:9b3a719a5a1f388785b01386030ac03cec7dd94ed954d81df2f92887b058cae3","observation_id":"ed51ec0d-9a6a-43a2-8dae-dc1d62d201d8","resolution":{"observed_at":"2026-08-14T12:18:19.851067Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.829167Z","title":"Alasti, Non-uniform-level crossing sampling for efﬁcient sensing of temporally sparse signals , IET Wireless sensor systems, vol","venue":null,"work_id":"d16443f9-1612-404f-b6e6-343d4151784c","year":2014},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.399308Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:8c433bb07e9aa303e0d99d4740d6bef1915b937c9e9d34bb7b736012961b5e6e","observation_id":"a8360eb2-5c8e-4d24-b416-6d13745f5f27","resolution":{"observed_at":"2026-08-14T12:18:19.834511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.408072Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.408072Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:b42256e9433136ff8de118f1e05f93c6e7c64419959af0123022fdacdfa5d684","observation_id":"a7c519c1-6e53-4308-aecf-69506e3c174f","resolution":{"observed_at":"2026-08-14T12:18:19.408072Z","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":"2026-08-14T12:18:19.797488Z","title":"Alasti, Energy efﬁcient spatiotemporal threshold level detection in large scale wireless sensor ﬁelds, IEEE Online Conference on Green Communications (GreenCom), pp","venue":null,"work_id":"8add61c4-0db9-4bea-837b-7111148e40ee","year":2012},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.413613Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:4a3ddcf9582812ee787d512f82d0c1151cca5ca30e5cf3b00f6b0320e45ef22a","observation_id":"1f8081f9-7e87-45d3-872d-db99e20bf5ac","resolution":{"observed_at":"2026-08-14T12:18:19.803581Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.778897Z","title":"Liao, M.K","venue":null,"work_id":"5a934788-ae2f-4113-b51b-a88a29eb5cc1","year":2005},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.418528Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:b6ee92e7cb387d662a02a2924090db9c2b4bd4400806946d6d9a9f2213cefdab","observation_id":"baae9a87-0acd-4508-8ef9-854e70715a9e","resolution":{"observed_at":"2026-08-14T12:18:19.784752Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.761478Z","title":"Liao, M.K","venue":null,"work_id":"68f30cdb-e599-47c5-84c9-055e8d292772","year":2005},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.423548Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:7d0482e5d1b76c4b43701df66518534c6af4b69a1db0a5ba974b1634097dcd67","observation_id":"f2070dc1-b7c0-4a1f-a130-501dbdf33c48","resolution":{"observed_at":"2026-08-14T12:18:19.766346Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.745551Z","title":"Liao, M.K","venue":null,"work_id":"e08be8fc-5902-4409-a3af-e9120b1624aa","year":2005},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.428570Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:2fb0488378f443ce60064efc219eed055a4704f9c399f8d2c16c30aab6a2de03","observation_id":"e103c64d-cd15-47f3-bf69-921315b5ec37","resolution":{"observed_at":"2026-08-14T12:18:19.750537Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.728209Z","title":"Liao, M.K","venue":null,"work_id":"e9543162-5598-452c-8466-dd9b901d20c0","year":2007},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.433457Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:55211561c43bf76c8dc8cf5d038b03966cc47fa75d2363b66985411935f02652","observation_id":"6cabad8b-66be-4de0-9c92-fe52fdde29e9","resolution":{"observed_at":"2026-08-14T12:18:19.734002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.712222Z","title":"Alasti, W.A","venue":null,"work_id":"4eae99e3-f8b9-4128-9ac1-5ab2498da074","year":2007},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.438002Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:324f0fd6bfdc56e1084a385c1ba582d1d8b92c0f2fc2bb97e96df7bfdd25773f","observation_id":"d64827de-126f-48f3-8af4-5600127ec6d3","resolution":{"observed_at":"2026-08-14T12:18:19.717208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.442680Z","title":"Buragohain, S","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.442680Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:3749c3c6c67da8eeb540620373d9743fc4df4a884356c2f92ad9251d88e95b51","observation_id":"ed124788-2a82-4a5c-b7b5-4f6a18aaaa5b","resolution":{"observed_at":"2026-08-14T12:18:19.442680Z","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":"2026-08-14T12:18:19.447535Z","title":"Gandhi, J","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.447535Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:d60d3668d61a6b556482bfafc8fbf7df436ee8e5e50cdd6bc446aac324a41ea3","observation_id":"fbe6215a-5381-4adb-b59c-5ce5fc81569e","resolution":{"observed_at":"2026-08-14T12:18:19.447535Z","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":"2026-08-14T12:18:19.672763Z","title":"Sarkar, X","venue":null,"work_id":"d669ecc0-5bae-4b8a-8477-a24fcc5ec8ea","year":2008},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.452420Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:aa7ef2a0acf3eb509c0fa32b68b068877c2e66ba8a7d9c0f0f421ba73862469c","observation_id":"d8195113-e8a6-4848-9b36-4a43b73cfae7","resolution":{"observed_at":"2026-08-14T12:18:19.678838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.653913Z","title":null,"venue":null,"work_id":"4b673d1c-d440-44bc-97cb-3df4ce9d6560","year":2007},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.457599Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:99322a51e292f93a721c14ae749b5a774d4aebd1f97dc4aa5337bc5f562b667f","observation_id":"79807579-c96a-458e-92b2-b72679441e5b","resolution":{"observed_at":"2026-08-14T12:18:19.659431Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.636594Z","title":null,"venue":null,"work_id":"7655f5ff-dddf-46e1-a1bf-7202a3215098","year":2017},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.462937Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:ff8b79ee512f5008c9d16db90dd7f0e25a838c4bbfd5a3496ac19d05b22f2501","observation_id":"fc11c02b-f219-41ad-bc2e-0c3d5e8edcd0","resolution":{"observed_at":"2026-08-14T12:18:19.641630Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.468064Z","title":"Sandwell, Bipolar spline interpolation of GEOS-3 and SEASAT altimeter data, Geophysical Research Letters, vol","venue":null,"work_id":null,"year":1987},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.468064Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:123b4b85396ea71ae1809de96df96663ccdd5a0d35bfb8bb029bbbfee1218d6c","observation_id":"c3beb982-394a-4122-9da8-6f7a4206a04a","resolution":{"observed_at":"2026-08-14T12:18:19.468064Z","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":"2026-08-14T12:18:19.472823Z","title":"Sayood, Introduction to data compression, Published by Morgan Kaufmann, 2000","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.472823Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:46393c60d70c90e59cb248364454aa87eb4579bee1feca3ad4dfceb78dbc5d24","observation_id":"d66fb399-20c2-4d64-b023-f99f9c42e26e","resolution":{"observed_at":"2026-08-14T12:18:19.472823Z","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":"2026-08-14T12:18:19.598610Z","title":"Bershad, Analysis of the normalized LMS algorithm with Gaussian inputs, in IEEE Transactions on Acoustics, Speech, and Signal Process- ing, p","venue":null,"work_id":"dfb96c03-46e6-46d6-b896-36c3d77950f7","year":1986},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.478132Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:2741d75dc03fe7d1c908df6dbf09fc2fa906318a9c94f0d2492d8fb8466db6b4","observation_id":"d5b4f0d7-6415-49bb-a5ee-60d94a438675","resolution":{"observed_at":"2026-08-14T12:18:19.604742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.574369Z","title":"Conover, Practical nonparametric statistical, 3rd edition, pp.428- 433, John Wiley & Sons, Inc","venue":null,"work_id":"ec1a1570-cfed-4c33-95c2-c967d774e42b","year":1999},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.483691Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:ac08f83977b3186831b0e4c3d49d70d18517ac3a4384f40367a3137a440d1e99","observation_id":"bfa91117-6c64-42da-841f-089881160ce4","resolution":{"observed_at":"2026-08-14T12:18:19.584493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.553554Z","title":"Jindal, K","venue":null,"work_id":"c13348d6-ea32-4a2c-9950-2d83e55d3186","year":2005},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.489229Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:64462409d1ff93c1e3f380d29f1cc92d88f0054747bed96f6f363ec38e9c2a91","observation_id":"9f657929-e4d8-48ef-92a2-e2ec0602bccc","resolution":{"observed_at":"2026-08-14T12:18:19.562059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:18:19.494410Z","title":"Jindal, K","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.494410Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:0ddd1ebc0ce77dcffe809d2cb08ad0dfec1542365bfc36ebffd6a56a23417337","observation_id":"cdd17392-b8b6-4172-8584-c09b3a96d79f","resolution":{"observed_at":"2026-08-14T12:18:19.494410Z","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":"2026-08-14T12:18:19.499144Z","title":"Alasti, (2019) Efﬁcient spatiotemporal monitoring of correlated signals based on stochastic gradient [Online]","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T12:18:19.499144Z"},"links":{"citing_paper":"/paper/1908.07674"},"observation_digest":"sha256:2aeb322781b48c5ac8836a8f5f2b7dcc351c28b8add7c4fffce81562c2d7e795","observation_id":"9c20ce53-20a4-4d06-ae85-2d247805b7fe","resolution":{"observed_at":"2026-08-14T12:18:19.499144Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"1908.07674","last_updated":"2019-08-21T02:06:49Z","latest_version":1,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-14T11:57:47.256171Z","submitted_at":"2019-08-21T02:06:49Z","title":"Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach"},"reference_resolution":{"displayed":40,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":0,"verified_fuzzy":25},"total_outbound_references":40},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:1908.07674."}