{"as_of":"2026-08-18T12:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f58bae45dd1a740abf3c490a760d60bd1e0b1e6de6d7159fe71c12f8c6620f01","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-12T06:36:55.528353Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2607.02851/citation-record","integrity":"/paper/2607.02851/integrity","json":"/paper/2607.02851/citation-record.json","paper":"/paper/2607.02851"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:481d4b4868bd80a616da91ee787879638cf0208782b973f423f99184fdeac4e3","observation_id":"874ebee8-94c9-4300-b218-5a769694c82a","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Efficient and robust time-optimal trajectory planning and control for agile quadrotor flight,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:563b10bd82b926a361af59b710c9015fbde8a7beaf361ca9fb49571809ea9a2b","observation_id":"42d36459-8177-4bf2-844b-e2ed6f2eead4","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"A note on persistency of excitation,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:1c888a3dd164f0be13edd1849219db22afa6190402cb93698d313d8d9a6b5aaf","observation_id":"534b5199-c230-4a87-9d23-c174dd01d686","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Formulas for data-driven control: Stabilization, optimality, and robustness,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:f3add25ab558a83fc19f22adefce3dcd1e7d23dee2d19b764a26f2d779b1a7fe","observation_id":"b256b8df-09bb-47d1-96ed-971f6007ce5c","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Data-enabled policy optimization for direct adaptive learning of the LQR,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:38d839743f4277654df336599e9895efdda02ec1773f56e1a8fcfb914d6e8d09","observation_id":"888cf555-f61c-4227-97ec-c80273387afb","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Koopman-based data-driven control of networked nonlinear system under an event-triggered communication,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:caed0c84dc946ef25f25222aeea964ac158d20ddfea1ab5f0e9c2ca79f145b29","observation_id":"1496f543-db37-49b1-8fc5-a73270f6bc88","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Data-driven control for multi-input systems with partly unknown models under aperiodic sampling,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:163236bd36f6db9d7f39dde2fc16c1e97d0971999706dde766aa19d3d99b7d64","observation_id":"ef19e3d1-d727-44cb-91df-d66b371a1038","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Data-driven tracking control design with noisy data and its application in DC microgrid control,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:2fc3efef37a8d2cdb3a082a727ef4360f66ea257fc0f22d92cd0e51c39e68e96","observation_id":"cbfd55c8-e4ee-4798-90ee-e670868ba9b0","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Data-driven mode detection and stabilization of unknown switched linear systems,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:7aa176d22affe50690c9534addf7706a97b30df13e57ca1ac2a6356d7a0870b7","observation_id":"be6ec6b5-b558-4d5e-b2f9-52ba6e6197c7","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Data-enabled predictive control: In the shallows of the DeePC,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:27c78b5e3a758f726f096f637484463948661f507ce925a36d9843db5e5e0ce8","observation_id":"f3a0625b-2bf5-40bd-bcce-235f876fd952","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Data-driven model predictive control with stability and robustness guarantees,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:60ed8034e6b4bbce7dbc432092aeff6009db2162e9c8ee9b871158a24dfb5213","observation_id":"9b8bd141-e01b-4b34-8edc-f2a7c3687574","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Robust data-driven predictive control for unknown linear systems with bounded disturbances,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:1a8a7da107bbb526b8a800c478e5745e2521370c8c584c84802d19cc5c39f4ed","observation_id":"fb5f7029-a47b-43d4-a870-afba3f28382a","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.20301","last_updated":"2026-06-18T14:36:23Z","snapshot_observed_at":"2026-08-07T01:42:47.687141Z","submitted_at":"2026-06-18T14:36:23Z","title":"Data-Driven Control from Poisoned Data: Fundamental Limitations and Secure DeePC","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.20301","snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Data-driven control from poisoned data: Fundamental limitations and secure DeePC,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"cited_paper":"/paper/2606.20301","citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:ac2e1c78f4327feb4d11fd556ac6ad42e01fed35ac3bbb1bea12c966399be6c9","observation_id":"5490ed68-8b30-4924-a18f-c226a9ce53b5","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Data-driven resilient predictive control under denial-of-service,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:ececf57655971954060db231d6c932d34f1d10171b307da9e33268f1a0ef1787","observation_id":"2302ae65-1bae-4df2-8a76-b1c6b7d23635","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Data-driven self-triggered control via trajectory prediction,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:adb42410e7996d33aecb20776c651384b4427e0ee0dc3614c0d678dc03d02522","observation_id":"3371b70d-a401-4ad2-aa36-d4f77e13f037","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Data-driven control of network systems: Accounting for communication adaptivity and security,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:509d416a5187f623002a14de787a1f0ad7fb8e6487dfc2cfd69011b76b992749","observation_id":"fd853f1c-7735-4afc-8cea-b8416bde700e","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Linear tracking MPC for nonlinear systems—part II: The data-driven case,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:6b51fb4c0731265e20cae7d96461525d561ede8c26479f7e6a71eadb91fc4fc8","observation_id":"a23d1af4-6ed9-4801-9a47-e22e5d55ad5e","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Data-driven nonlinear predictive control for feedback linearizable systems,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:d29b40891d88f8f9d44dd72f9734877a86bdbe7e60b647dae2a9b15901143f23","observation_id":"d9bfb4f1-58a6-412a-a3d3-bb38842da727","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Neural data–enabled predictive control,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:626a747da7ad4f00c3d8673b0fac03e597fc8be678e8cb1a95e5d5d339e1eb37","observation_id":"b1808883-859b-4716-9071-93d623b18b3b","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Robust and kernelized data- enabled predictive control for nonlinear systems,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:8d15022b9cd0e901c509edc057e6064dadf73469a966099e1cc41ca9509a9ca1","observation_id":"db76b2b5-aab5-4f42-b17d-dd0b7a88321f","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Data- driven predictive control for a class of nonlinear systems with polynomial terms,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:df4f40bf2aab370fed00fab2fcea394e66e62a70e9431ceb339e8209dad46d93","observation_id":"53469068-4b9d-43d5-b580-15fd62d417e9","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Data-enabled predictive control for nonlinear systems based on a koopman bilinear realization,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:52de148a7c660151d52f02265dcbf2e19446fbeec1ad4c524e0d3ffd92ac9e91","observation_id":"3d30492f-8afd-426d-a07a-b30182a791ba","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"A generalized representer theorem,","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:5e255427c0856bde7251ccc9d5d03bec0b550a6eafe796fb0e84ca124e408156","observation_id":"a76384e7-9759-412a-b68d-f8e30871d9b3","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Online data-driven adaptive control for unknown linear time-varying systems,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:464ec1c8d21d460f325f81d7f3b34d40fe6579211294fe9759267d9cbf5b154b","observation_id":"e687c900-b538-446f-8a94-548b5bf78abe","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Online learning-based model predictive control with Gaussian process models and stability guarantees,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:0a6ff3edbb4d5c1a441ed13fdadebf34219c93eb494dd316540cc7fbe8df567f","observation_id":"0b110a8c-593b-4d4c-ba10-926698d6b6a3","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Gaussian processes for dynamics learning in model predictive control,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:eaa1a5ae981c1ef39d89f14b71311fad8424c7f4cdcd8aae165cf9966a689825","observation_id":"449c572e-9900-4ff7-bc94-4a947d66fb15","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Data-driven kernel-based predictive control with closed-loop guarantees,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:33c3b0c35f00ff952ea3388d8d414a06fa21b1ff039459f49d6c676b8979f51b","observation_id":"654f293e-82ad-46e0-b4b4-aab01ce8f466","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Deterministic error bounds for kernel-based learning techniques under bounded noise,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:2c3ea209c5ab4819271c03f69a0fa38097d8a05f2b1c2210ab6fda06228455f5","observation_id":"3ad679f7-0818-47a0-9436-d81367866ee2","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Theory of reproducing kernels,","venue":null,"work_id":null,"year":1950},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:474f1579c056aea1b708bb6ef36004f68e4e62d4343b0d7224a065e266348272","observation_id":"44ccd74d-035d-4c22-93af-b77d12dc72c7","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Optimal kernel regression bounds under energy-bounded noise,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:309dc9ceee9d2d662367bfbe3c46f109be30582e7aeca033fa7a0cd9585c5c21","observation_id":"d74ffade-4a24-41be-a12b-e8dfb2c13be0","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Isidori,Nonlinear control systems","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:edc71720be78df1a233bd810a40c91623ae6cda3c7b2954edcebcceb1e7b3a50","observation_id":"247316c6-1693-4a63-a64e-335072aeccc1","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Learning controllers from data via kernel-based interpolation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:1a06546496d496aa4b62411073cde0a62b2be08557e980f6026bf12f283bdd5b","observation_id":"d7f9f6e0-f132-4f5e-ad9f-0ce6c035d1e4","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Input–output-to-state stability for discrete-time systems,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:06119f294418ea7616cfc12a82e5bce91b240aaaac2fc23337fd89ed94d24ded","observation_id":"542ca46b-2aad-4fb1-af18-4be3d5c61966","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01071","last_updated":"2023-04-26T15:32:13Z","snapshot_observed_at":"2026-08-17T23:44:19.382123Z","submitted_at":"2022-09-02T14:05:35Z","title":"Data-driven stabilizer design and closed-loop analysis of general nonlinear systems via Taylor's expansion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.01071","snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Data-driven stabilizer design and closed-loop analysis of general nonlinear systems via Taylor’s expansion,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"cited_paper":"/paper/2209.01071","citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:e128ad39b7fc1111edba0170f20b8ad177110db2c531465276112e5c2aa60f05","observation_id":"0e838a51-2845-478f-a591-ef9d9010e9cc","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Optimization algorithms with superlinear convergence rate,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:f0f9a4cccfb25088671f6f06243c039b7976bd29badbcfe93b46b932aa4177a8","observation_id":"c7b876dd-66df-42cb-a51d-f46c708b892b","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Input-to-state stability for nonlinear time- varying systems via averaging,","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:6fc249ba463c78965071c1e6adcf04bc9da9f00c934416910abbddb2dc2024af","observation_id":"896ed7a1-6228-4ecb-a391-da9f7ef35c38","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Kernel-based least squares policy iteration for reinforcement learning,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:811260fb90525e68bf62432b21c63b83bc1a250f8e60638b0203a9ac3bbd93cc","observation_id":"b0b19b92-fafa-41c8-bc67-e0e05891ce7c","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T06:36:55.528353Z","title":"Learning a contact-adaptive controller for robust, efficient legged locomotion,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-12T06:36:55.528353Z"},"links":{"citing_paper":"/paper/2607.02851"},"observation_digest":"sha256:a99970abe83438fffbe109cdac411c877b592664f896168424a2482ecbb8d6d5","observation_id":"75f16940-d1df-4b4d-8165-5a296d5f9312","resolution":{"observed_at":"2026-07-12T06:36:55.528353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.02851","last_updated":"2026-07-03T01:06:50Z","latest_version":1,"primary_category":"eess.SY","snapshot_observed_at":"2026-08-18T06:57:16.736758Z","submitted_at":"2026-07-03T01:06:50Z","title":"Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":38,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":38},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2607.02851."}