{"as_of":"2026-08-20T20:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:27494714c64fd1187d5d9a4bf245b71af6485e034cc50f1401f098e58395ec56","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:16:45.946635Z","state":"measured"},{"denominator":43,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":43,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T17:31:03.383308Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-29T17:33:45.140410Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"cited_work":{"arxiv_id":"2506.08689","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.08689","snapshot_observed_at":"2026-06-29T17:33:45.140410Z","title":"Efficient uncertainty propagation with guarantees in wasserstein distance,","venue":null,"work_id":"40ee5fe5-e2ae-47dc-ab0e-3b07938ecdfa","year":2025},"citing_paper":{"arxiv_id":"2605.26625","last_updated":"2026-05-30T01:43:59Z","snapshot_observed_at":"2026-08-11T02:34:35.677088Z","submitted_at":"2026-05-26T07:02:27Z","title":"Provably Safe Motion Planning Under Unknown Disturbances","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-29T17:31:03.383308Z"},"links":{"cited_paper":"/paper/2506.08689","citing_paper":"/paper/2605.26625"},"observation_digest":"sha256:7353f37c1072745660f609508eff05c7a7df0cc84250d3bfc2a2d402d2d4a1f7","observation_id":"b39ef515-496b-4f9c-929c-74f2d4fcf7a2","resolution":{"observed_at":"2026-06-29T17:33:45.142205Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.08689/citation-record","integrity":"/paper/2506.08689/integrity","json":"/paper/2506.08689/citation-record.json","paper":"/paper/2506.08689"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:16:46.669437Z","title":"Approximate model checking of stochastic hybrid systems.European Journal of Control, 16(6):624–641, 2010","venue":null,"work_id":"79f97438-b3e4-40f7-88c0-45278d0bb5ec","year":2010},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.756140Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:5e440314da027b53b13597d9f2ef1f1dc4ebadc8c0e5eb974532dd86db2ad745","observation_id":"c7c5488c-a389-4af5-9410-25e7206c12e2","resolution":{"observed_at":"2026-08-07T05:16:46.674913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:45.761592Z","title":"Finite neural networks as mixtures of gaussian processes: From provable error bounds to prior selection.arXiv preprint arXiv:2407.18707, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.761592Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:8964405a2d6c2bb627480d122c64ee17fc73b7c732c742f08d1fad6b9b6b4348","observation_id":"cf29bb2c-a6ea-4709-80c5-1a461cd7ed9b","resolution":{"observed_at":"2026-08-07T05:16:45.761592Z","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":"2026-08-07T05:16:46.652569Z","title":"Nonlinear bayesian estimation using gaussian sum approximations","venue":null,"work_id":"552a06e0-3919-415e-9a74-517c86a5bf71","year":1972},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.766608Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:29c2e4feb998b3a58349a9f33bf0b2ef7d18404b706a25908e10507809dbe19f","observation_id":"85de0695-3b6d-448b-a0b4-bead159b373d","resolution":{"observed_at":"2026-08-07T05:16:46.658378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1811.02827","last_updated":"2019-05-15T15:21:50Z","snapshot_observed_at":"2026-08-17T07:09:26.479506Z","submitted_at":"2018-11-07T10:50:40Z","title":"Wasserstein variational gradient descent: From semi-discrete optimal transport to ensemble variational inference","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.02827","snapshot_observed_at":"2026-08-07T05:16:45.771591Z","title":"Wasserstein variational gradient descent: From semi-discrete optimal transport to ensemble variational inference.arXiv preprint arXiv:1811.02827, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.771591Z"},"links":{"cited_paper":"/paper/1811.02827","citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:c5608e01c8650b57b5ba0b0e7fe96982fba30d9de8ee37932d37fc3ff307930b","observation_id":"27ac7638-ddf2-41cc-876a-f94de3a7d36d","resolution":{"observed_at":"2026-08-07T05:16:45.771591Z","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":"2026-08-07T05:16:46.636590Z","title":"Wasserstein tube mpc with exact uncertainty propagation","venue":null,"work_id":"c12bd03b-5b6c-4922-83ac-e48622e15fd2","year":2023},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.777237Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:bb95fc8a99f31457e5cca2c780f1ee058b48d818f947ba275738dbfeb0bfa8d5","observation_id":"a6bb9784-706d-4a6d-bbb9-ea802496e460","resolution":{"observed_at":"2026-08-07T05:16:46.641483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.00343","last_updated":"2023-09-07T17:18:21Z","snapshot_observed_at":"2026-08-20T01:38:25.822127Z","submitted_at":"2022-04-30T21:09:19Z","title":"Distributional Uncertainty Propagation via Optimal Transport","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.00343","snapshot_observed_at":"2026-08-07T05:16:45.782385Z","title":"Distributional uncertainty prop- agation via optimal transport.arXiv preprint arXiv:2205.00343, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.782385Z"},"links":{"cited_paper":"/paper/2205.00343","citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:3d7e9b7cbfcc5f3b983dfe993c7461b5e4a095990d0db816254bace232e1f9e1","observation_id":"f1c0770e-b673-46d6-b09d-63090e73af46","resolution":{"observed_at":"2026-08-07T05:16:45.782385Z","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":"2026-08-07T05:16:46.620769Z","title":"Random Dynamical Systems","venue":null,"work_id":"4201d26f-d8e9-44ac-a143-3bdd539a0a09","year":1995},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.787838Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:7003c7c8b8ad9b8780c26d28e2bf96a35445fd3fc3133e2567c40aa6e1427c65","observation_id":"2c5a579b-b455-4d44-9554-5e967b098826","resolution":{"observed_at":"2026-08-07T05:16:46.625577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.605585Z","title":"The dubins car and other arm-like mobile robots","venue":null,"work_id":"086ddff9-c475-4d40-9588-289c11bdda57","year":2018},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.792436Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:c2ec8bfbaf4ea3baa7ba0e27d05f8c8da7b8076f7fa4f8b0411803e2a11dce8a","observation_id":"92ac446d-0af8-4644-ad71-d96cf8a3c5a1","resolution":{"observed_at":"2026-08-07T05:16:46.610527Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.590256Z","title":"Princeton University Press, 2009","venue":null,"work_id":"95cd4548-3a73-4f7d-a509-157e47e8f92d","year":2009},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.797235Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:36cb437ce67943bcdf5ab56c1cb862f44fbf85c2e616534f3bb37e1971a71aca","observation_id":"4320892d-0b7b-4c8f-aba6-c173166cb99e","resolution":{"observed_at":"2026-08-07T05:16:46.595350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:45.801944Z","title":"The price of robustness.Operations research, 52(1):35–53, 2004","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.801944Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:f0aaa4d84244d29139ed7a81b67579fe8278e4cc77663b1617ee188eef0e4904","observation_id":"a001f712-1599-4741-b35e-d281fcd52998","resolution":{"observed_at":"2026-08-07T05:16:45.801944Z","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":"2026-08-07T05:16:46.564735Z","title":"Digital synthesis of non-linear filters.Automatica, 7(3):287–298, 1971","venue":null,"work_id":"ec5a999d-d3c5-4ad5-9237-723f6a2bd3e8","year":1971},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.806466Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:9a288b53c80f7dfd861b84a4b42ee697349e5fa1c15c8d38034c2271bb678ea9","observation_id":"b563b6ca-20bf-4f6f-bbcf-2ea3b46668d0","resolution":{"observed_at":"2026-08-07T05:16:46.569880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.549281Z","title":"On distributionally robust chance-constrained linear pro- grams.Journal of Optimization Theory and Applications, 130:1–22, 2006","venue":null,"work_id":"edd13a2a-7424-4472-afbc-b1a626b8cbe6","year":2006},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.811035Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:381854fddafa75998376638be3667813247b40f90fea10df1ad6f7c60142a23f","observation_id":"82d5eaea-995a-419e-842b-9955d60eb3e3","resolution":{"observed_at":"2026-08-07T05:16:46.554607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.533555Z","title":"Limits of probabilistic safety guarantees when considering human uncertainty","venue":null,"work_id":"1f1bb90d-c2ae-49f6-bd89-19221b5049b3","year":2021},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.815612Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:e1b45111bc46d3fcf10d54aae3cd750e7341a065e8486508a8c0ad7e69787c7b","observation_id":"7b7de256-be0e-44ac-b11c-020b9066682d","resolution":{"observed_at":"2026-08-07T05:16:46.538327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.518422Z","title":"Pilco: A model-based and data-efficient approach to policy search","venue":null,"work_id":"e4577dda-b87b-4d9a-8736-50e7d076080e","year":2011},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.820256Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:d51bbb87468e231dd307e1982fd43f2504f9ce2a52960ea6f5915732026ad280","observation_id":"fa440e96-306f-4bf4-9c6b-f4070d7edcef","resolution":{"observed_at":"2026-08-07T05:16:46.523252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.502712Z","title":"Distributionally robust optimization under moment uncertainty with appli- cation to data-driven problems.Operations research, 58(3):595–612, 2010","venue":null,"work_id":"e3cb375b-5b33-4f1e-9152-7e9fe8d7c548","year":2010},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.824745Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:0f64effd3f8eae6556fca76631c49ede0c4c6f6881994188e1a7f0c14f566c1f","observation_id":"3a90ad58-8ba9-489f-a31a-f37a27a39835","resolution":{"observed_at":"2026-08-07T05:16:46.507825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.488614Z","title":"Wasserstein sensitivity of risk and uncertainty propa- gation.SIAM/ASA Journal on Uncertainty Quantification, 10(3):915–948, 2022","venue":null,"work_id":"fbf8ad5e-f0db-4fc7-84c9-6e374ad9d7d3","year":2022},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.829485Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:2b9c1a52e4cea3ce0778970ec411a84c1f8d07eead97b24db9fdc0434880e5cf","observation_id":"3ed73879-2045-4975-8d22-596b13853330","resolution":{"observed_at":"2026-08-07T05:16:46.493210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.473937Z","title":"Uncertainty propagation in stochastic systems via mixture models with error quantification.IEEE Conference on Decision and Control (CDC), 2024","venue":null,"work_id":"7aa1578c-95cc-4893-a823-ec4388b0d5a9","year":2024},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.834592Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:a6d4b5bd47e9dbdfbb0beb16a40ced918e5f8ccd08342772d5f8479d869d5b19","observation_id":"4b9495ca-e23b-441e-bf33-a321ddb33820","resolution":{"observed_at":"2026-08-07T05:16:46.479036Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.459914Z","title":"Distributionally robust stochastic optimization with Wasserstein distance","venue":null,"work_id":"a17d30b7-9421-4be0-a993-5a1931081345","year":2023},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.838898Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:84ec3eb4239555231365f72bfb70ffbb19b25a5d86326012ad4e4a8d58188328","observation_id":"5eba1a93-e213-4d8e-a51c-da0f5ee1be93","resolution":{"observed_at":"2026-08-07T05:16:46.464563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.445954Z","title":"On choosing and bounding probability metrics.International statistical review, 70(3):419–435, 2002","venue":null,"work_id":"ce408f56-3bfe-4f98-9bb9-26ab77a47d8a","year":2002},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.843360Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:5dce48fec1e87e3268f58f5f2d3eea10aa83ea28329f341f232c5f69a2124913","observation_id":"c24f9dc9-6b40-42e6-8574-d325aa17a14c","resolution":{"observed_at":"2026-08-07T05:16:46.450552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.429739Z","title":"Gaussian process priors with uncertain inputs application to multiple-step ahead time series forecasting.Advances in neural information processing systems (NeurIPS), 15, 2002","venue":null,"work_id":"0c75009e-3531-4b43-8654-86af6a5ff36f","year":2002},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.847649Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:74ae699c22e4daa6c179e6ddd21e4a46c2a716c4f150c1e12422e253e8a78f54","observation_id":"1d689538-2115-4b43-b7d8-36ebe4561d80","resolution":{"observed_at":"2026-08-07T05:16:46.434781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.414719Z","title":"Cambridge University Press, 1990","venue":null,"work_id":"a80d2d3a-9dc0-47d5-8253-5463488d1dec","year":1990},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.852230Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:3ce09725d4446c68b5d2e75c348c8c8853e1cc0ee119f035e150ee8528edc54e","observation_id":"344f7040-1423-49ee-a1c6-886b49db212f","resolution":{"observed_at":"2026-08-07T05:16:46.419626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.399578Z","title":"Efficient strategy synthesis for switched stochastic systems with distributional uncertainty.Nonlinear Analysis: Hybrid Systems, 55:101554, 2025","venue":null,"work_id":"9be6e5f1-5d8b-45c6-b133-dee8c1a85f46","year":2025},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.857231Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:cbb45cf5967327cfca1f90c9a5f0255f083c7af9dfe250129d9c45ba660601ea","observation_id":"5eb3f3cc-eac1-4b1b-aa0b-be78cb858e2e","resolution":{"observed_at":"2026-08-07T05:16:46.404516Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.383228Z","title":"Springer Science & Business Media, 2000","venue":null,"work_id":"bf1b6336-9355-4c22-b423-4c758685cc35","year":2000},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.861763Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:713edb008d4836a7a98f9b3eb240a6f6993fc6c8e8c785a1775bd9d98afdf859","observation_id":"dfc88ab2-fe68-44e0-86b7-2d1e81deb25f","resolution":{"observed_at":"2026-08-07T05:16:46.388827Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.367407Z","title":"The quadruple-tank process: A multivariable laboratory process with an ad- justable zero.IEEE Transactions on Control Systems Technology, 8(3):456–465, 2000","venue":null,"work_id":"4ed8f8c5-f9db-45d8-b031-d1c9097c48e0","year":2000},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.866700Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:a28acfa955e46fdbe39ce00b1f761fd7f56ff582bc82563c813eebe0791f3e5a","observation_id":"4d0521dc-92b3-4bca-8f1b-c41757be4cf5","resolution":{"observed_at":"2026-08-07T05:16:46.372521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.351805Z","title":"Unscented filtering and nonlinear estimation.Proceedings of the IEEE, 92(3):401–422, 2004","venue":null,"work_id":"5a8a12ac-a8d7-4af0-b8fd-0b5509d57595","year":2004},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.871105Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:16fbb619efb1e7004844e307808201729bff3ef6b863bbc487d2888a76beb044","observation_id":"6523f28b-9428-44c1-ab89-9d6789a66cdb","resolution":{"observed_at":"2026-08-07T05:16:46.357189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.334755Z","title":"Numerical methods for stochastic control problems in continuous time.SIAM Journal on Control and Optimization, 28(5):999–1048, 1990","venue":null,"work_id":"0a4f9d40-68a5-40bb-aa9f-dab401810b1f","year":1990},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.875243Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:14af3cb482ef3c5fd8a5b8e3c62fc4cba349bb8fe16e74c8d174b757b3b8730b","observation_id":"2d0672d7-d837-411b-9115-fdbda10eee7b","resolution":{"observed_at":"2026-08-07T05:16:46.340439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.317536Z","title":"Probabilistic prediction methods for nonlinear systems with application to stochastic model predictive control.Annual Reviews in Control, 56:100905, 2023","venue":null,"work_id":"7368680a-efc5-4cc9-8a7d-6cbc86df53fb","year":2023},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.879565Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:3d22c0c9913836e42858e1af9a9861a42040d4326fc38de1821fbdfa08341b80","observation_id":"65d7923b-85fa-4771-81be-23725fa565ea","resolution":{"observed_at":"2026-08-07T05:16:46.322726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.302153Z","title":"Perspectives on system identification.Annual Reviews in Control, 34(1):1–12, 2010","venue":null,"work_id":"5484c1d4-e383-43a4-a936-3b089f45693e","year":2010},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.883879Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:37e3a141a3ce522e7c6f11b6d17858c043b2af9de8b9bd4fd123bddbb8187b48","observation_id":"cfbff1a1-5ebc-44c9-a33e-e8201c163efe","resolution":{"observed_at":"2026-08-07T05:16:46.306876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.287185Z","title":"Safety certification for stochastic systems via neural barrier functions.IEEE Control Systems Letters, 7:973–978, 2022","venue":null,"work_id":"74e83ea4-0a34-43dc-8c75-fdff7ba8510b","year":2022},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.888282Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:aedea1c01d167605d6a7803e7ab16cff369fd614bad5b9420fa6e9e16e5109fe","observation_id":"8df3a6f3-b4c8-40e0-87fa-bbd7b3416ab8","resolution":{"observed_at":"2026-08-07T05:16:46.292148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.271570Z","title":"Distributionally robust model predictive control: Closed-loop guarantees and scalable algorithms.IEEE Transactions on Automatic Control, 2024","venue":null,"work_id":"793c5935-b5f0-4c89-aa35-d44a22e430a9","year":2024},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.892628Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:36e8f00cc8bddb0320a4fba89905d0bd7a68ae32ed624a166e754583ea1d0a82","observation_id":"c7a8e734-e312-4832-b245-1bbbdfb29150","resolution":{"observed_at":"2026-08-07T05:16:46.276827Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.256617Z","title":"Data-driven distributionally robust optimization using the Wasserstein metric: Performance guarantees and tractable reformulations.Mathematical Programming, 171(1):115–166, 2018","venue":null,"work_id":"a79b07a5-29e6-4de2-bf4c-fbbc0c226e70","year":2018},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.897748Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:8b232ea5273c329d9512fc9a580c41f328764e71c74cfc8e2fcd185e1e280309","observation_id":"2fdd875e-8795-4290-9b3d-18dfc915bd76","resolution":{"observed_at":"2026-08-07T05:16:46.261612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:45.901863Z","title":"Normalizing flows for probabilistic modeling and inference.Journal of Machine Learning Research, 22(57):1–64, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.901863Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:a18c9671185993a788e060b4c54871080b9fa012c60c98bb054c52a06a5829ba","observation_id":"683fa90d-29df-4832-a61e-aad27fcb54eb","resolution":{"observed_at":"2026-08-07T05:16:45.901863Z","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":"2026-08-07T05:16:46.231903Z","title":"Stochastic Processes and Applications.Texts in applied mathematics, 60, 2014","venue":null,"work_id":"3e288298-2caf-4df0-b986-e7dd902b3a91","year":2014},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.906269Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:f32a4031ea2d9df2685fee6b37bed9ae59c066c83cb19100a2e0bc01df20beb7","observation_id":"4e72209a-b088-41f5-8438-15a6d967719d","resolution":{"observed_at":"2026-08-07T05:16:46.236803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.217067Z","title":"Computational Optimal Transport: With Applications to Data Science.Foundations and Trends®in Machine Learning, 11(5-6):355–607, 2019","venue":null,"work_id":"f690260f-9239-4af5-a2ba-1ffae859f5b9","year":2019},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.910612Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:9cc894c64eeab2380cf20a1287e7c924d3a949c537d9e3fb3f985c44c5082625","observation_id":"c733be4f-24f2-4d8a-b418-1ee0658ac307","resolution":{"observed_at":"2026-08-07T05:16:46.222183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.201019Z","title":"Robust mean-covariance solutions for stochastic optimization.Operations Research, 55(1):98–112, 2007","venue":null,"work_id":"5aef234e-5252-4d56-b6aa-c191343c8dec","year":2007},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.915643Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:469615d45a904a569c6332bccf679ff098526ae211dac3748867fea7b5a52f29","observation_id":"902b37c6-e7a8-4925-894c-a729bfc25982","resolution":{"observed_at":"2026-08-07T05:16:46.206607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.184676Z","title":"A barrier function approach to finite-time sto- chastic system verification and control.Automatica, 125:109439, 2021","venue":null,"work_id":"c0aed955-bb2c-42b9-91e7-08ec2f7725b8","year":2021},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.919811Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:3d8cfab2c83fb1e45c5d7e156284bfe6765feff4cafa6a2cddca409b2028d743","observation_id":"e88b2e25-61ae-4247-8468-42d2e4001ea9","resolution":{"observed_at":"2026-08-07T05:16:46.189565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.168775Z","title":"Reinforcement learning with replacing eligibility traces.Machine learning, 22(1):123–158, 1996","venue":null,"work_id":"8a47263e-5e28-4aaf-9f58-519d493a0471","year":1996},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.924461Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:23f9ac4718a1fe6cc6df0e5d649b35ceb7f90858763761c2b434e13d009039e4","observation_id":"d4275664-a74c-4898-8342-157f19a4bcc4","resolution":{"observed_at":"2026-08-07T05:16:46.174169Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.151814Z","title":"Courier Corporation, 1994","venue":null,"work_id":"5d6d4e26-f125-41e9-80a4-f48db9520290","year":1994},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.928911Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:8368983fe35f506c0ddc6a561f9638f0d9f8a4d2652e666d0022add5000f1884","observation_id":"68e20cd1-3d73-4ea3-be3a-899d4596769b","resolution":{"observed_at":"2026-08-07T05:16:46.157211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.135240Z","title":"Finite sample analysis of stochastic system identification","venue":null,"work_id":"bd920587-bfe0-4f17-ab18-626133ee74fa","year":2019},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.933328Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:4f9ec992ef2b3e4de2cacf2780429e9768838bbb99f51ccb29b8e305781f61e2","observation_id":"fe276e4d-9cce-4671-ad5a-39305eab4b15","resolution":{"observed_at":"2026-08-07T05:16:46.140338Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.119746Z","title":"Springer, 2009","venue":null,"work_id":"c120afc6-425c-4071-868e-0cc544a77da8","year":2009},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.937744Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:96b1614bd15666b037a93563e3f0423c0b0db6af318e2e28c72c0588a2dd2015","observation_id":"98c6094c-e132-49cd-afa9-439d2cc81873","resolution":{"observed_at":"2026-08-07T05:16:46.124576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.103724Z","title":"Gaussian processes for regression.Advances in neural infor- mation processing systems (NeurIPS), 8, 1995","venue":null,"work_id":"94d22a83-f772-419a-9928-340047972ace","year":1995},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.942176Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:4a1774faff92e9d281fad0c6dc496d6027b25e63009dad0e9b17d15a3815ec26","observation_id":"c12b10ce-2288-42fe-a6ea-a75cde5d538b","resolution":{"observed_at":"2026-08-07T05:16:46.109068Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T05:16:46.085718Z","title":"On linear optimization over Wasserstein balls","venue":null,"work_id":"141803ff-497d-4078-9849-f54bef034e46","year":2022},"citing_paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T05:16:45.946635Z"},"links":{"citing_paper":"/paper/2506.08689"},"observation_digest":"sha256:d4ef8482bdb77c1eb34029a2bb28ddb611e05a64a2e6258435cd37dc1d9eff91","observation_id":"b00d0784-fd24-422a-895b-e52c7df2061e","resolution":{"observed_at":"2026-08-07T05:16:46.092733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.08689","last_updated":"2025-06-11T08:29:12Z","latest_version":2,"primary_category":"eess.SY","snapshot_observed_at":"2026-08-17T23:56:37.397912Z","submitted_at":"2025-06-10T10:54:29Z","title":"Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":0,"verified_fuzzy":37},"total_outbound_references":42},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2506.08689."}