{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:D33CR4F3DX33KKTHPHUT24YAIV","short_pith_number":"pith:D33CR4F3","schema_version":"1.0","canonical_sha256":"1ef628f0bb1df7b52a6779e93d73004552e03bf64c14140b943a1b847865b071","source":{"kind":"arxiv","id":"2411.19132","version":2},"attestation_state":"computed","paper":{"title":"Conformal Prediction for Distribution-free Optimal Control of Linear Stochastic Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Dimos V. Dimarogonas, Eleftherios E. Vlahakis, Lars Lindemann, Pantelis Sopasakis","submitted_at":"2024-11-28T13:33:52Z","abstract_excerpt":"We address an optimal control problem for linear stochastic systems with unknown noise distributions and joint chance constraints using conformal prediction. Our approach involves designing a feedback controller to maintain an error system within a prediction region (PR). We define PRs as sublevel sets of a nonconformity score over error trajectories, enabling the handling of joint chance constraints. We propose two methods to design feedback control and PRs: one through direct optimization over error trajectory samples, and the other indirectly using the $S$-procedure with a disturbance ellip"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2411.19132","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2024-11-28T13:33:52Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"7c2bd06bfc7ed44f311871cc3ce57e4011d3d5fd633fdfda09e4ad69bbc77edb","abstract_canon_sha256":"7bd1a55767ac6601b9d680cb835cd9b897bb765e397e838f7989e3975616ecb6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:45:58.934839Z","signature_b64":"XzakDkq9C1vBnaKnnCLCkl81TthJS4+3rKHF/feUpxOoO7ziwpDPWDH4DVvcuhOsP5TzcCpZCk6rmettH63ADg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1ef628f0bb1df7b52a6779e93d73004552e03bf64c14140b943a1b847865b071","last_reissued_at":"2026-07-05T09:45:58.934381Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:45:58.934381Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Conformal Prediction for Distribution-free Optimal Control of Linear Stochastic Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Dimos V. Dimarogonas, Eleftherios E. Vlahakis, Lars Lindemann, Pantelis Sopasakis","submitted_at":"2024-11-28T13:33:52Z","abstract_excerpt":"We address an optimal control problem for linear stochastic systems with unknown noise distributions and joint chance constraints using conformal prediction. Our approach involves designing a feedback controller to maintain an error system within a prediction region (PR). We define PRs as sublevel sets of a nonconformity score over error trajectories, enabling the handling of joint chance constraints. We propose two methods to design feedback control and PRs: one through direct optimization over error trajectory samples, and the other indirectly using the $S$-procedure with a disturbance ellip"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.19132","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2411.19132/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2411.19132","created_at":"2026-07-05T09:45:58.934446+00:00"},{"alias_kind":"arxiv_version","alias_value":"2411.19132v2","created_at":"2026-07-05T09:45:58.934446+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.19132","created_at":"2026-07-05T09:45:58.934446+00:00"},{"alias_kind":"pith_short_12","alias_value":"D33CR4F3DX33","created_at":"2026-07-05T09:45:58.934446+00:00"},{"alias_kind":"pith_short_16","alias_value":"D33CR4F3DX33KKTH","created_at":"2026-07-05T09:45:58.934446+00:00"},{"alias_kind":"pith_short_8","alias_value":"D33CR4F3","created_at":"2026-07-05T09:45:58.934446+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/D33CR4F3DX33KKTHPHUT24YAIV","json":"https://pith.science/pith/D33CR4F3DX33KKTHPHUT24YAIV.json","graph_json":"https://pith.science/api/pith-number/D33CR4F3DX33KKTHPHUT24YAIV/graph.json","events_json":"https://pith.science/api/pith-number/D33CR4F3DX33KKTHPHUT24YAIV/events.json","paper":"https://pith.science/paper/D33CR4F3"},"agent_actions":{"view_html":"https://pith.science/pith/D33CR4F3DX33KKTHPHUT24YAIV","download_json":"https://pith.science/pith/D33CR4F3DX33KKTHPHUT24YAIV.json","view_paper":"https://pith.science/paper/D33CR4F3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2411.19132&json=true","fetch_graph":"https://pith.science/api/pith-number/D33CR4F3DX33KKTHPHUT24YAIV/graph.json","fetch_events":"https://pith.science/api/pith-number/D33CR4F3DX33KKTHPHUT24YAIV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/D33CR4F3DX33KKTHPHUT24YAIV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/D33CR4F3DX33KKTHPHUT24YAIV/action/storage_attestation","attest_author":"https://pith.science/pith/D33CR4F3DX33KKTHPHUT24YAIV/action/author_attestation","sign_citation":"https://pith.science/pith/D33CR4F3DX33KKTHPHUT24YAIV/action/citation_signature","submit_replication":"https://pith.science/pith/D33CR4F3DX33KKTHPHUT24YAIV/action/replication_record"}},"created_at":"2026-07-05T09:45:58.934446+00:00","updated_at":"2026-07-05T09:45:58.934446+00:00"}