{"as_of":"2026-08-16T23:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:22100795f49791bbc4b09f6ae97152e95e0f21b334d4f58d2dc20b0584a2c856","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T15:58:24.722253Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"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/1908.00483/citation-record","integrity":"/paper/1908.00483/integrity","json":"/paper/1908.00483/citation-record.json","paper":"/paper/1908.00483"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:58:25.799553Z","title":"Kouvaritakis and M","venue":null,"work_id":"a9bd5c05-3d2a-4800-ae9c-fa8f22799c3d","year":2015},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.247623Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:6c31cd7119e2343e6e67177caa22f664fe4c7c7a88fd40fcc00fe9882c15755c","observation_id":"822fd79b-3c69-4164-b432-98583b6be31d","resolution":{"observed_at":"2026-08-14T15:58:25.804771Z","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":"2026-08-14T15:58:25.646439Z","title":"Stochastic model predictive control: An ove rview and perspectives for future research,","venue":null,"work_id":"3d8e9579-7723-44cd-aafe-41ccf2c632fa","year":2016},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.391329Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:2fece81af2fe0fd6c326c54a4b77f02c41b2287700a9f2080bc30ef0c3f69a9c","observation_id":"23bfd883-56c9-4e0b-9537-52db7ce00ec7","resolution":{"observed_at":"2026-08-14T15:58:25.742525Z","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":"2026-08-14T15:58:25.631164Z","title":"Model predictive control: Recent developm ents and future promise,","venue":null,"work_id":"a2b9d742-ee68-4b40-804e-2179944c95e6","year":2014},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.426654Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:01beacd00b9fe84c9f509cab7d98f8b078ec97a09aedfc4b02470fa4476bb9b4","observation_id":"0917df78-7ce6-4016-a22c-75e1015f5105","resolution":{"observed_at":"2026-08-14T15:58:25.635523Z","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":"2026-08-14T15:58:25.614429Z","title":"Model predictive control for systems with stochastic multiplicative uncertainty an d probabilistic constraints,","venue":null,"work_id":"e8bb9799-b2c7-477e-ba64-5cc11d124242","year":2009},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.432705Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:630bd3a14cb42da10b8fee985d9595cf68d3acd2edb947f47b294d866512e1a7","observation_id":"23ca6a3d-eac6-4f3c-a769-cf3d45256ead","resolution":{"observed_at":"2026-08-14T15:58:25.620423Z","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":"2026-08-14T15:58:25.590644Z","title":"Stabilizing model predi ctive control of stochastic constrained linear systems,","venue":null,"work_id":"7154d77e-f829-4418-9ba0-e22da155d7a6","year":2012},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.439345Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:94dbbeddab71960963e96089143d9a46b86f0666da5b218f52c299878bcdbc7d","observation_id":"7d095ab8-2a85-439a-9d0b-04fd93e45ff9","resolution":{"observed_at":"2026-08-14T15:58:25.597859Z","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":"2026-08-14T15:58:25.489892Z","title":"Model predictive control o f linear systems with multiplicative unbounded uncertainty and chance cons traints,","venue":null,"work_id":"81ff3307-e1e8-47fc-9f33-b11943be6497","year":2016},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.445196Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:db6ad811a6689fd8b85e25b11f8ead2bc14792a4d5a7f6b522221275bf2ec1a3","observation_id":"b8a931e5-2ab4-4601-9395-835447de2836","resolution":{"observed_at":"2026-08-14T15:58:25.547360Z","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":"2026-08-14T15:58:25.471892Z","title":"Scenario-based approach to stochastic linear predictive control,","venue":null,"work_id":"0a997d53-65b8-4a78-8e22-537e0b9f6f46","year":2012},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.451314Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:4305587764d9357f5becadaf8eab3acb07042a79b149ae9314b0814d559d7342","observation_id":"9d9fb41f-b6f3-4113-8570-19d0a46451de","resolution":{"observed_at":"2026-08-14T15:58:25.478185Z","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":"2026-08-14T15:58:25.456120Z","title":"Nonlinear stochastic model predictive control via regularized polynomial chaos expansions,","venue":null,"work_id":"69219684-1924-484b-8f8b-3e2823e300c2","year":2012},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.456972Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:170aee4636adf99f441fe79a4c45ae31d78263e218fa9a45b40c033dce316f6e","observation_id":"d53005d4-88a2-4959-817a-4ae7ffa86623","resolution":{"observed_at":"2026-08-14T15:58:25.461203Z","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":"2026-08-14T15:58:25.438614Z","title":"The sc enario approach for stochastic model predictive control with boun ds on closed- loop constraint violations,","venue":null,"work_id":"62b92761-4017-415a-9988-ef433e47083a","year":2014},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.463842Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:49141621f7d50f208de9ddb0a33c9746da3e3ce9555249f16e833b3aec5c4202","observation_id":"59552bb0-b043-4e94-abdf-c7931aa48e06","resolution":{"observed_at":"2026-08-14T15:58:25.443602Z","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":"2026-08-14T15:58:25.421926Z","title":"Stability for r eceding- horizon stochastic model predictive control,","venue":null,"work_id":"bdb3fa8a-1e67-400b-ac63-64a438020ccf","year":2015},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.469728Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:089deb90129a0350f8eb066403de0ed06ed3f34c9bba490570f1c57203af44a8","observation_id":"58703083-9826-433a-9cd1-d9c05c9473bf","resolution":{"observed_at":"2026-08-14T15:58:25.427133Z","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":"2026-08-14T15:58:25.404497Z","title":"Output-feedback mo del predictive control for stochastic systems with multiplica tive and additive uncertainty,","venue":null,"work_id":"673efc71-5e41-4f5e-b38b-a809493f7317","year":2018},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.475221Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:d8a1a0cebded7d48b6f26b9c5d4f6050ec337c2f694b03b87b850ae8a80d9d12","observation_id":"4f871479-5495-475a-9a18-93358814b240","resolution":{"observed_at":"2026-08-14T15:58:25.410058Z","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":"2026-08-14T15:58:25.306262Z","title":"A constraint-tightening approach to nonlinear model pred ictive control with chance constraints for stochastic systems,","venue":null,"work_id":"1e9216db-e92f-40f2-8ec1-306d7077b1bf","year":2019},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.480306Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:2106f4373170858852630ca79ea7429f61265b251b6ba2a39f5676470349dc06","observation_id":"0c5f559d-9378-4f4f-82c6-483da4740d17","resolution":{"observed_at":"2026-08-14T15:58:25.374697Z","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":"2026-08-14T15:58:25.225071Z","title":"Probabilistic c onstrained MPC for multiplicative and additive stochastic uncertaint y,","venue":null,"work_id":"4afc5a91-4fa0-48e5-bee3-bdd6661a150d","year":2009},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.485774Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:4413c4ef14bb6091718b32b22f4604e9359446a7c9209d43106c8e98c7b8943f","observation_id":"7dce1d40-6c44-4646-8bcf-3170e315ed7a","resolution":{"observed_at":"2026-08-14T15:58:25.230884Z","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":"2026-08-14T15:58:25.205236Z","title":"Probabilistic t ubes in linear stochastic model predictive control,","venue":null,"work_id":"80c3a00e-f7c9-4109-a5fd-1cad16ac97f4","year":2009},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.491310Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:b18ef9478bea08d518ca7c7ee643db8e5fa9d03cbd5bcacbb1ea6ae067620d9d","observation_id":"59b32bab-153f-4967-879a-e5e74bb7a6ee","resolution":{"observed_at":"2026-08-14T15:58:25.211572Z","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":"2026-08-14T15:58:25.179260Z","title":"Explicit use of probabilistic distributions in linear predictive contr ol,","venue":null,"work_id":"95d8bbea-661b-4985-865c-3ccbe9881d36","year":2010},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.499025Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:993969c047d7a7bd28e4e8dae0c452569c3c41a54dc770c2ea2cc2ef045444df","observation_id":"b71622b8-bf2a-4d84-8f95-924cc5a8c4df","resolution":{"observed_at":"2026-08-14T15:58:25.186007Z","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":"2026-08-14T15:58:25.159062Z","title":"On stability and perform ance of stochastic predictive control techniques,","venue":null,"work_id":"0e6d25ca-e3a9-4846-9b0a-00565702d83a","year":2015},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.505813Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:d8bad1d2095e6c21e4ca6d553832954824c10c957334fb69f0f83e263725e229","observation_id":"ba0fed20-0d67-4413-a1f8-b10874fc7f1c","resolution":{"observed_at":"2026-08-14T15:58:25.165796Z","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":"2026-08-14T15:58:25.138056Z","title":"Dropout feed- back parametrized policies for stochastic predictive cont roller,","venue":null,"work_id":"1813b0c1-35b5-41b2-b56e-b06f4a1add4c","year":2016},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.511221Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:6b447bd6c43ae42344c45ef88eb0d91b3369a209a571860ae7ea7ce55738e16b","observation_id":"e6e47f3b-602d-4372-bba7-2b9178f39b1e","resolution":{"observed_at":"2026-08-14T15:58:25.145316Z","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":"2026-08-14T15:58:25.104265Z","title":"Input-to-state stabi lity of robust receding horizon control with an expected value cost,","venue":null,"work_id":"86cef26d-c8bc-467f-a1b4-d921644591cb","year":2008},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.516046Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:228a6540e5b2c09d1e3911f43976ce18019c313741de99a6c651e0ff6bf3be67","observation_id":"1c3fb952-0345-432a-a88c-04307ac91c1a","resolution":{"observed_at":"2026-08-14T15:58:25.125518Z","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":"2026-08-14T15:58:25.050061Z","title":"Efficient prediction strategies for disturbance compensation in sto chastic MPC,","venue":null,"work_id":"d5271dcd-9cd8-45cc-8b25-c7c5a0c94e2d","year":2013},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.525204Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:e448d071fd554d3fa50350231357125e840192cee87a89003c2008fc7d905889","observation_id":"4e451e01-f4c7-43f8-ab1d-1d52f8fa77a2","resolution":{"observed_at":"2026-08-14T15:58:25.069845Z","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":"2026-08-14T15:58:25.015038Z","title":"Con straint- tightening and stability in stochastic model predictive co ntrol,","venue":null,"work_id":"c2a0c910-b527-4355-9293-9f3ca87fcd87","year":2016},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.549587Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:fdd06bd9886668285cd07bf5973e20cfe8f450700c58f1a60063dc3173781945","observation_id":"8f684a85-0a1e-4a13-a8b1-03c7399a39b2","resolution":{"observed_at":"2026-08-14T15:58:25.020981Z","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":"2026-08-14T15:58:24.586433Z","title":"Op timization over state feedback policies for robust control with constraint s,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.586433Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:ed43307f577b6a2ef0c028ce9c9abd1af4632d5ea8eb0c4c23ce6871de181e93","observation_id":"7d07e8ed-5ce0-4836-bce2-1eeb465a1998","resolution":{"observed_at":"2026-08-14T15:58:24.586433Z","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":"2026-08-14T15:58:24.982153Z","title":"On the convergenc e of stochastic MPC to terminal modes of operation,","venue":null,"work_id":"e9dda0e2-1add-46d2-afff-f615453daf56","year":2009},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.611151Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:9f9440224d9073ac7f10c402883f8118abddf3e3fdb88b8c9e5cacbc5f73405d","observation_id":"c729d3da-e545-444e-90fd-0b5a6e5eee61","resolution":{"observed_at":"2026-08-14T15:58:24.987926Z","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":"2026-08-14T15:58:24.965073Z","title":null,"venue":null,"work_id":"08ebc4c3-a140-4aaf-be46-75c593dba7a3","year":2009},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.638148Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:21dfb239600b1d9862dfa8787e8fc56e2b685cfbc020376bae7997610ccacd11","observation_id":"5688ae39-a093-4cbf-a4f6-07bead8ab39c","resolution":{"observed_at":"2026-08-14T15:58:24.970550Z","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":"2026-08-14T15:58:24.945674Z","title":"Input-to-state stability for discrete-time nonlinear systems,","venue":null,"work_id":"3e68bd76-0e3c-405f-82cc-4c8f61495341","year":2001},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.670606Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:6133191ad04bcc7d0ca477de778ccdfe3bcae1fd9e3a70a2257d1cfe128d615f","observation_id":"fa7c3866-6f0b-45f7-ac70-ebb70423c981","resolution":{"observed_at":"2026-08-14T15:58:24.951630Z","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":"2026-08-14T15:58:24.881594Z","title":"Blanchini and S","venue":null,"work_id":"43c9a381-67d5-4cb6-a6ac-84e2f8feb5f5","year":2008},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.694267Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:6a7e06d3fd5ca7a914d716425e12fc23744990999b1062388196a6d52e583df4","observation_id":"fbf64820-b8bf-4e66-ba21-b04d47889864","resolution":{"observed_at":"2026-08-14T15:58:24.899669Z","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":"2026-08-14T15:58:24.815221Z","title":"Constrained linear syste m under disturbance feedback: Convergence with probability one,","venue":null,"work_id":"184a8579-a98e-489c-acb1-6f425b034073","year":2008},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.706559Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:a18a7a9d6e17ba9292cff7f0accba7065612e61012d25d7b472f5ca7adcea898","observation_id":"055da421-b007-4939-8338-4ac0d6ae8795","resolution":{"observed_at":"2026-08-14T15:58:24.843268Z","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":"2026-08-14T15:58:24.798991Z","title":"T he explicit linear quadratic regulator for constrained systems,","venue":null,"work_id":"b45a63d2-5750-4c5a-9f94-12d2d1c59279","year":2002},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.711608Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:f20aa9f86036ccc545807e7890b1a46ec3a8fb27b3de017412525642b73d088d","observation_id":"a2fcf451-7a8a-4ada-af78-c78cd7f8d703","resolution":{"observed_at":"2026-08-14T15:58:24.803859Z","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":{"arxiv_id":"1706.00733","last_updated":"2017-06-02T15:58:05Z","snapshot_observed_at":"2026-08-14T20:56:26.218256Z","submitted_at":"2017-06-02T15:58:05Z","title":"Stochastic Model Predictive Control: Output-Feedback, Duality and Guaranteed Performance","version":1},"cited_work":{"arxiv_id":"1706.00733","doi":null,"metadata_source":"pith","pith_arxiv_id":"1706.00733","snapshot_observed_at":"2026-08-14T15:58:24.762500Z","title":"Stochastic Model Predictive Control: Output-Feedback, Duality and Guaranteed Performance","venue":"math.OC","work_id":"0f6e943d-9687-4d3c-8322-caea27f12b0a","year":2017},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.716516Z"},"links":{"cited_paper":"/paper/1706.00733","citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:48bb8e2e11f1d7e5d42bb5c83a703cf0b06a91dbc809f1c974a080f8f3e07b05","observation_id":"25a0ab10-d33d-420f-a69d-44596f557061","resolution":{"observed_at":"2026-08-14T15:58:24.770310Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-14T15:58:24.782788Z","title":"Stochastic mo del predictive control without terminal constraints,","venue":null,"work_id":"c6f81872-7b79-43c0-ae9f-a21f5778daed","year":2019},"citing_paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T15:58:24.722253Z"},"links":{"citing_paper":"/paper/1908.00483"},"observation_digest":"sha256:370fceea72a685cdaa72871831394e180a67fb5ca3ffd63e7474e39b76a80a42","observation_id":"184ccd09-c062-4c77-8e6f-aa727db80d61","resolution":{"observed_at":"2026-08-14T15:58:24.787765Z","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"}}],"paper":{"arxiv_id":"1908.00483","last_updated":"2020-04-06T09:26:40Z","latest_version":2,"primary_category":"math.OC","snapshot_observed_at":"2026-08-16T08:19:43.833287Z","submitted_at":"2019-08-01T16:18:30Z","title":"Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":1,"verified_fuzzy":26},"total_outbound_references":29},"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 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:1908.00483."}