{"as_of":"2026-08-10T21:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a3c84212f476a893a264f1771918ae4b3d4df49622093481a56383d108482dd4","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-23T07:42:32.645122Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2412.08858/citation-record","integrity":"/paper/2412.08858/integrity","json":"/paper/2412.08858/citation-record.json","paper":"/paper/2412.08858"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A novel probabilistic forecast system predicting anomalously warm 2018-2022 reinforcing the long-term global warming trend","venue":null,"work_id":"ab88c5d3-956b-4b6c-9f37-21695ac9c164","year":2018},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:4b78972a8d3cd253905b8c170a3e5cf89f777a3aaab85b03597e6fe408b89d84","observation_id":"f571b1fe-3674-4930-9077-819465d1077d","resolution":{"observed_at":"2026-05-23T07:42:44.617639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Evaluation of individual and ensemble probabilistic forecasts of covid-19 mortality in the united states","venue":null,"work_id":"ba0864ec-ab8b-4161-9567-df469348d5e0","year":2022},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:4172cc441e8e503423b34d4ced57085639e07e68356ef5e8b971667f87555339","observation_id":"c2c2288a-09f1-4b8d-a624-f4dd53eb2633","resolution":{"observed_at":"2026-05-23T07:42:44.487620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"The value of probabilistic prediction","venue":null,"work_id":"d137de2f-f50b-49cc-b01b-36847eb002b5","year":2008},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:b1192a7ffb07b711792dcc01b603e102079f100ba722cf7b63db5d3937067484","observation_id":"684ed95f-4fd5-491d-b14a-8a24c8acf4ae","resolution":{"observed_at":"2026-05-23T07:42:44.478661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Probabilistically safe robot planning with confidence- based human predictions","venue":null,"work_id":"c5a3c2c0-6d69-47a7-9c01-32c9a8fc10e8","year":2018},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:502f2e2ba5c7b10f729b90a6b0eb710ad751490f3c68f4f5db273ff2d0b9172e","observation_id":"d444f48c-03db-41c8-aa97-d18b664adc11","resolution":{"observed_at":"2026-05-23T07:42:44.482992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Probabilistic forecasting","venue":null,"work_id":"15e55f94-8bbc-456f-9453-acc46cd80e7c","year":2014},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:ee95ac1a970fff3b344cfe9c8fee72850f67f41e11ed5c778fec55ce0af1a9d0","observation_id":"6e67cf38-18e3-404e-8d94-33737b419a70","resolution":{"observed_at":"2026-05-23T07:42:44.522303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Strictly proper scoring rules, prediction, and estimation","venue":null,"work_id":"0a382b4c-f091-465b-b777-1cb99e99ede0","year":2007},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:25c486a47d77dbfa2050260e287d59c6454bb470a477bc0c6646692007c26dc6","observation_id":"b3fa8623-5c42-4f8c-94bb-9ed8a527e889","resolution":{"observed_at":"2026-05-23T07:42:44.474115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Probabilistic prediction methods for nonlinear systems with application to stochastic model predictive control","venue":null,"work_id":"e75a597f-30e6-4f1f-8902-830f05d122c1","year":2023},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:eac45e437265374a23c15cb36118afa0283a5c5e2c9db88fbd6dd8d203849404","observation_id":"7180c520-b81f-4fa1-b397-088e2a242952","resolution":{"observed_at":"2026-05-23T07:42:44.465185Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Uncertain systems","venue":null,"work_id":"aaef2bc3-c2b5-49cc-a703-fd03d6404d49","year":2005},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:9abc3c3f8cbcdaab6665a00dfff38a05d3dac647b70d076a23e7ef52928e1eca","observation_id":"5155c6c4-e4a1-4450-a1a0-c147480b9a20","resolution":{"observed_at":"2026-05-23T07:42:44.469670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Schmüdgen, The Moment Problem, ser","venue":null,"work_id":"cbbc2e2b-c585-40cb-a3ee-c409554201f0","year":2017},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:293f04382718ca1710e8d433737b0d68b9832765167d2caa3b541f77f09c40a2","observation_id":"71ba0c94-9cdc-449e-84a4-1d7a7f18f5af","resolution":{"observed_at":"2026-05-23T07:42:44.491767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Distributionally robust optimization under mo- ment uncertainty with application to data-driven problems","venue":null,"work_id":"76862227-7a70-4e19-82e1-51cb1548a068","year":2010},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:874b92c88c2c4aaaa8c8c9e7b4e23af825c695d2bd5605e6fdf9ea8bcf935e42","observation_id":"761a756f-3398-4f16-9f37-82e516c5891b","resolution":{"observed_at":"2026-05-23T07:42:44.622076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"b1d8e047-a655-4e29-bd3b-3724dd1017ee","year":1982},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:30010a21b13e6c4a87deb74f65181379f564092539ccc3aec14860ff600a89df","observation_id":"ce677ddd-4895-43d7-845b-71940cb08c0b","resolution":{"observed_at":"2026-05-23T07:42:44.626047Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"An efficient implementation of the second order extended kalman filter","venue":null,"work_id":"de37460a-8110-4d8f-bc94-cad216975fbe","year":2011},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:526d0954ec572f95ce4df54788cb9ade67314d030ab53c5478500c888e076e13","observation_id":"2c9c13a2-b7f5-40db-af3c-9fb44c94a530","resolution":{"observed_at":"2026-05-23T07:42:44.642545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"New developments in state estimation for nonlinear systems","venue":null,"work_id":"17ec55a4-dbcc-4d0f-9529-f8e884669adb","year":2000},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:729092d8967d4df79d5f7ca575e16f0fcee5674b93d2c017db0c24d04a64e71d","observation_id":"e8ff07d1-602c-4265-8a93-ff9377935596","resolution":{"observed_at":"2026-05-23T07:42:44.596625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"A systematization of the unscented kalman filter theory","venue":null,"work_id":"1098fab7-356a-45f8-910c-033814194f93","year":2015},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:2968de19e87030b8f3336efabd4f34ea01aafe5264e7e9e92c2227dfa5044ba2","observation_id":"b547f72a-e97d-4ffd-9d30-f1a33875ea09","resolution":{"observed_at":"2026-05-23T07:42:44.613225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Derivative-free estimation methods: New results and performance analysis","venue":null,"work_id":"bb4c1728-f5b2-48b3-b41a-15d8a2c698b1","year":2009},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:f226ab09ee3fabb91e97227310ed525bee30eb4eace925137524d1dc3e10125c","observation_id":"df063f2e-4f9d-4164-96ec-aa9f22d462a5","resolution":{"observed_at":"2026-05-23T07:42:44.584039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Recursive bayesian estimation using gaussian sums","venue":null,"work_id":"88c9a4a0-f558-4f11-8ca9-bb44c2e35341","year":1971},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:2916eca512fbb74372667adcc33ef4ff964d285998947367bfcec266fff1d30d","observation_id":"36f40122-2a97-4482-946e-263dbfaad341","resolution":{"observed_at":"2026-05-23T07:42:44.588457Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Nonlinear bayesian estimation using gaus- sian sum approximations","venue":null,"work_id":"db536f57-42ce-4f95-9948-c2636a1b0584","year":1972},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:e25379d9e563765bcaf2d432a4006e88dd53d71c0a4bda7632b4ba5479521898","observation_id":"8dee48d1-c832-45a8-8780-0d3579157536","resolution":{"observed_at":"2026-05-23T07:42:44.592554Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Mixture kalman filters","venue":null,"work_id":"0e6aa3c5-b2b1-400b-8232-f387873a0e2b","year":2000},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:e1526b558dfcb4161739f436ae6006d47c3816a90b6767a92a8dee487bef30dd","observation_id":"6bd9de5c-7fb2-40b9-a159-d3cc57256992","resolution":{"observed_at":"2026-05-23T07:42:44.608997Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"The homogeneous chaos","venue":null,"work_id":"234274c0-c61e-4da2-935c-7c3d8b6eb6ee","year":1938},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:a55d90ae0e22a77f8239af3ae9288a9698bb943e3ba4b20ab65deed832a16d4d","observation_id":"539a6039-979e-45d3-9fb5-93384765c87f","resolution":{"observed_at":"2026-05-23T07:42:44.634131Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"An efficient method for stochastic optimal control with joint chance constraints for nonlinear systems","venue":null,"work_id":"65211cb7-a129-49ab-9c62-2ba5926641a3","year":2019},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:07810e69eb271595f65dea02c7355f995cd74faf0a955393ca6298cb91c225f8","observation_id":"4c0a360f-1a42-4466-adfe-22f77fb0edd3","resolution":{"observed_at":"2026-05-23T07:42:44.568141Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Särkkä and L","venue":null,"work_id":"363d8e57-a91e-4d2e-ae10-a81fa678608d","year":2023},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:5a17d8d27423f32dad1378d2db5a30b33bf70f5d49a5b78b78465513e62e75cc","observation_id":"91d7b091-bc23-4381-ae2f-6ab41779f6bd","resolution":{"observed_at":"2026-05-23T07:42:44.572059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Modern monte carlo methods for efficient uncertainty quan- tification and propagation: A survey","venue":null,"work_id":"0860b3a7-5cc4-4289-b9a1-56523889af89","year":2021},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:0668c51107ad322e24b6d6f1102e5b005c4017a3f5a0563a185348771a533736","observation_id":"830976f7-3178-487f-b14c-ffa0ec41490c","resolution":{"observed_at":"2026-05-23T07:42:44.600820Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Stochastic linear model predictive control with chance constraints – a review","venue":null,"work_id":"b7fd13fa-bb34-4173-ba02-52ba8a564276","year":2016},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:a2025bc5011bfc586b337f8a49333c372e61ae9b10786ecd3ab82201947d3667","observation_id":"e0668a68-6820-4bcb-8e1f-f8935c6dd785","resolution":{"observed_at":"2026-05-23T07:42:44.605139Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Stochastic model predictive control: An overview and perspectives for future research","venue":null,"work_id":"fc5fad9a-d056-4743-81f8-13683a1497fb","year":2016},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:08d7d851db4138dd7f4461d7fe3b27bd5053c929b8922f21e33f85883767ea0a","observation_id":"93e3e2f2-95b4-4906-a348-91dd2f4a0fef","resolution":{"observed_at":"2026-05-23T07:42:44.559522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Nonlinear stochastic model predictive control: Existence, measurability, and stochastic asymptotic stability","venue":null,"work_id":"53f91c1f-560e-4d56-80e8-b777ff727cbe","year":2023},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:8cda57ef0f6d7caa9b1a9bbf4dce7b205bd9d87b46b2726e96f75c3c9c738662","observation_id":"27850929-8801-4d88-acf2-e152f71e6795","resolution":{"observed_at":"2026-05-23T07:42:44.555513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Distributionally robust chance constrained data-enabled predictive control","venue":null,"work_id":"bbec68cc-cac6-4542-8573-334872c1e6ff","year":2022},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:6227f144280c12c069bc29f853f50bd4ecce152c21ba2376258eb5ef052f90e8","observation_id":"ec9ff459-4c17-4cee-abf7-6b21a7cf4f6f","resolution":{"observed_at":"2026-05-23T07:42:44.563632Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"4466f50b-913f-4fec-974c-d57b37138aac","year":2007},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:6f07191e68b73cafeb6a16b876982131d8260a043ed3b307ba632834d69f1edb","observation_id":"b7854ffe-04d7-430b-a660-831a282455bc","resolution":{"observed_at":"2026-05-23T07:42:44.576024Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Approximate bayesian forecasting","venue":null,"work_id":"cec38d93-a29c-4769-b334-ea09fe1eca1e","year":2019},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:b22c97db46073e484f8c92db3ab7df5b74c59484cbb89aafe498ddf0b3c6ee35","observation_id":"ea5c8003-3ced-4af5-b2e8-8b551e10c029","resolution":{"observed_at":"2026-05-23T07:42:44.579693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Quantile regression: 40 years on","venue":null,"work_id":"bde54b99-d2b1-4848-85fd-9db29e64d123","year":2017},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:bad13c97c1f90cd08b4c9a677f1e26a35122c039907396d5991b33643f669db4","observation_id":"72fe4725-4b49-4028-a3ce-d9bec40a910a","resolution":{"observed_at":"2026-05-23T07:42:44.544174Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Distributional regression forests for probabilistic precipitation forecasting in complex terrain","venue":null,"work_id":"5fa13b3a-d199-441d-9534-ec346b28d117","year":2019},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:35b719d302172193df019cdb8d17e7a92e37c939dc374ddd655ae4426dd924bf","observation_id":"772fecde-9a14-4e7b-ac43-296b25f0e0ef","resolution":{"observed_at":"2026-05-23T07:42:44.630216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"NGBoost: Natural gradient boosting for probabilistic prediction","venue":null,"work_id":"bba5ba42-ae08-4be0-8423-3f0cfae2ffc0","year":2020},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:fbea183aa6d93037ffe2a04a25a35bd1923ad933d3c631ae8a72d555c75c17d3","observation_id":"c0d30826-f52b-468e-bb9e-0ecf69d9c777","resolution":{"observed_at":"2026-05-23T07:42:44.539192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"DeepAR: Probabilistic forecasting with autoregressive recurrent networks","venue":null,"work_id":"57a6f6e4-4302-4fa6-8aec-e19e84136a67","year":2020},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:4bed4c97679b04877c4447ca13605cbc4b3236654e663d93593ac2ac32874e2a","observation_id":"111c93fc-0c1e-4323-8ee1-5f4ec321b4fb","resolution":{"observed_at":"2026-05-23T07:42:44.548177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"A review of predictive uncertainty estimation with machine learning","venue":null,"work_id":"ea625658-1582-4d05-8cb7-8ab69cf581f5","year":2024},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:4c4b9ab4d4bc256536328976ce6678ad19a90c10cf0622149f14d617efc5d548","observation_id":"37d093da-b49c-423c-bb8f-ef79036872df","resolution":{"observed_at":"2026-05-23T07:42:44.638244Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"eac9e63a-6771-4872-8195-5a2c86d9abe6","year":1957},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:342df381990bea2829afe568cb573923cf9e5c8e7478d724f387e24f34c3807d","observation_id":"aaf2f532-5263-4f4d-8500-488cdd8097ad","resolution":{"observed_at":"2026-05-23T07:42:44.530520Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"The distribution free newsboy problem: Review and extensions","venue":null,"work_id":"35c908e4-aa8f-4c1e-9fa5-2ed205ee378f","year":1993},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:84c7374e316e97186fc6f54de2e64105556c842d7b0f63218a5ae3a9a46856dd","observation_id":"92eaec49-1396-4934-90bd-3f9ec0ea171a","resolution":{"observed_at":"2026-05-23T07:42:44.496255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Proper local scoring rules","venue":null,"work_id":"0d3f7356-e188-4d44-a662-d62237455682","year":2012},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:0791cb6339cdad14a2f73b355d914adc9a11e53d225b3203a6351dac4c5d9228","observation_id":"1cb3bbaf-7b80-42d9-bed6-a11961a3e1c6","resolution":{"observed_at":"2026-05-23T07:42:44.526459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Distributionally robust optimization: A review on theory and applications","venue":null,"work_id":"474b18c8-25d0-4303-8e54-21a246b8a7ff","year":2022},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:099c8084406adae5befe97f2d90c90c7867a6e1c443c0e8c1f39931f8d8edd32","observation_id":"16d04333-9284-4c7c-a5c9-3f17feb36d20","resolution":{"observed_at":"2026-05-23T07:42:44.534663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"aff17b99-0731-4877-ac1a-d56181a8ef16","year":2018},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:022d3dce3e8134e1d5d17b805de2ddb72008d7362ed759158dc46b901915c17d","observation_id":"91fe6999-6182-457e-8b47-52c33f2f4e54","resolution":{"observed_at":"2026-05-23T07:42:44.551766Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Dynamic programming","venue":null,"work_id":"26f802d7-40ca-4261-8dc3-b918efee5fef","year":1966},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:4320582527ca27451408990a269ec32a52526c9f81dbfb4c6cb98ad63ca57e71","observation_id":"f3fba480-84f9-4066-be8b-69f42410db07","resolution":{"observed_at":"2026-05-23T07:42:44.455225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Checking local optimality in con- strained quadratic programming is np-hard","venue":null,"work_id":"7947ec27-2479-47dd-ad01-69bdd023f517","year":1988},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:39f1d2e956ba89306aca42a07c3fd14bcc93d83d8698f340af011fbbd84f25fb","observation_id":"949157c6-b29d-4d2d-a9fa-124e62e9fa67","resolution":{"observed_at":"2026-05-23T07:42:44.514306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"What is local optimality in nonconvex-nonconcave minimax optimization?","venue":null,"work_id":"cbac9a92-33f5-40a6-85d5-2c22fa3f34cf","year":2020},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:ac87464e36d2696ea64587a689699ad8bdaeee46d0a4f64a454aec0dc05cd15c","observation_id":"a24d638e-3531-4218-b228-03fd9ec99495","resolution":{"observed_at":"2026-05-23T07:42:44.505740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"The complexity of constrained min-max optimization","venue":null,"work_id":"3053292a-4036-4da1-8518-6c252755ea3a","year":2021},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:2b9d1163a00dafc37ec4a97f8fbee67c715a921c3aae40a689552e6ddf4ba465","observation_id":"ac1d40a3-2b55-4fc3-b0c9-62edea61b43a","resolution":{"observed_at":"2026-05-23T07:42:44.459350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Limiting behaviors of nonconvex-nonconcave minimax optimization via continuous-time systems","venue":null,"work_id":"a2a71ce3-c194-4005-9928-b5f80a10a62e","year":2022},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:f11f877f09e1f4775442e1dcac22ab01e6e90b9b5fe6fe5a6a23eaebaa0f7f05","observation_id":"20a46352-b789-4df4-9f6b-67fdd5f36c2c","resolution":{"observed_at":"2026-05-23T07:42:44.501382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Implicit learning dynamics in stack- elberg games: Equilibria characterization, convergence analysis, and empirical study","venue":null,"work_id":"1a55e7f9-ff37-403c-b9a4-bf6854d79e4d","year":2020},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:1232e6382eff859090d1ce682006110cd8518cbc8a0280a2a98cead295e679b2","observation_id":"8185ef20-3445-4537-82e7-5c38f5aba86f","resolution":{"observed_at":"2026-05-23T07:42:44.510301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d06841c5-0624-4992-a2cc-620a40fad196","year":2013},"citing_paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:32.645122Z"},"links":{"citing_paper":"/paper/2412.08858"},"observation_digest":"sha256:30b0055d5a582e50696abf9c40b7edf7bce34d615a8880a674294d5535e6bf4c","observation_id":"62c63702-2234-4679-aebe-2479eb66d1d2","resolution":{"observed_at":"2026-05-23T07:42:44.518353Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.08858","last_updated":"2026-04-20T12:20:55Z","latest_version":2,"primary_category":"math.OC","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T01:35:40Z","title":"Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":0,"verified_fuzzy":40},"total_outbound_references":45},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2412.08858."}