{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:V3UXVIGQQKKVQGGE3F5UATKRRQ","short_pith_number":"pith:V3UXVIGQ","canonical_record":{"source":{"id":"2310.02485","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2023-10-03T23:23:41Z","cross_cats_sorted":["cs.SY","math.OC"],"title_canon_sha256":"ff4adbd322487411a7a87d9de8ac5c871ef9f4c247a93252858532925cfb5d2d","abstract_canon_sha256":"7fc375199a7406f763795ab934d72e29702cd684b1f1f79123ea81df6b6fee4d"},"schema_version":"1.0"},"canonical_sha256":"aee97aa0d082955818c4d97b404d518c370b0e6b4f63c65939dcf5777cedc4d9","source":{"kind":"arxiv","id":"2310.02485","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.02485","created_at":"2026-07-05T07:59:18Z"},{"alias_kind":"arxiv_version","alias_value":"2310.02485v2","created_at":"2026-07-05T07:59:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.02485","created_at":"2026-07-05T07:59:18Z"},{"alias_kind":"pith_short_12","alias_value":"V3UXVIGQQKKV","created_at":"2026-07-05T07:59:18Z"},{"alias_kind":"pith_short_16","alias_value":"V3UXVIGQQKKVQGGE","created_at":"2026-07-05T07:59:18Z"},{"alias_kind":"pith_short_8","alias_value":"V3UXVIGQ","created_at":"2026-07-05T07:59:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:V3UXVIGQQKKVQGGE3F5UATKRRQ","target":"record","payload":{"canonical_record":{"source":{"id":"2310.02485","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2023-10-03T23:23:41Z","cross_cats_sorted":["cs.SY","math.OC"],"title_canon_sha256":"ff4adbd322487411a7a87d9de8ac5c871ef9f4c247a93252858532925cfb5d2d","abstract_canon_sha256":"7fc375199a7406f763795ab934d72e29702cd684b1f1f79123ea81df6b6fee4d"},"schema_version":"1.0"},"canonical_sha256":"aee97aa0d082955818c4d97b404d518c370b0e6b4f63c65939dcf5777cedc4d9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:59:18.724725Z","signature_b64":"dbo2xjQ2/tQPa+DPBeb/hWtNjZGzLuLBAQTDCVTyJoURCKhXjWHFCXAXnZpjPgXxH65YdVF/jRGlLSvW0Hl5DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aee97aa0d082955818c4d97b404d518c370b0e6b4f63c65939dcf5777cedc4d9","last_reissued_at":"2026-07-05T07:59:18.724235Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:59:18.724235Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.02485","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:59:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"23Y+QzgCOzsH4HueCYTy+7z1fTQFddLWJ/cQOv/RSALj+tmcrYa2AN1bt5wSbHHmc9noNVH1Bc6nq15qx0imAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T10:47:38.171352Z"},"content_sha256":"a4d83491928bb0c30653ed27ed6fa70ba5320c22a80ebd57f9fc1c2ec06adc43","schema_version":"1.0","event_id":"sha256:a4d83491928bb0c30653ed27ed6fa70ba5320c22a80ebd57f9fc1c2ec06adc43"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:V3UXVIGQQKKVQGGE3F5UATKRRQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Computationally Efficient Chance Constrained Covariance Control with Output Feedback","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY","math.OC"],"primary_cat":"eess.SY","authors_text":"Joshua Pilipovsky, Panagiotis Tsiotras","submitted_at":"2023-10-03T23:23:41Z","abstract_excerpt":"This paper studies the problem of developing computationally efficient solutions for steering the distribution of the state of a stochastic, linear dynamical system between two boundary Gaussian distributions in the presence of chance-constraints on the state and control input. It is assumed that the state is only partially available through a measurement model corrupted with noise. The filtered state is reconstructed with a Kalman filter, the chance constraints are reformulated as difference of convex (DC) constraints, and the resulting covariance control problem is reformulated as a DC progr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.02485","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/2310.02485/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:59:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gpEoQKsDpIJ7xMFksECCIPdcMJqzjUP44PWgthKi05+hyzjYqmQSaPiUj50sOYAMiUAIbB9NZkHgz4p6MU4xCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T10:47:38.171693Z"},"content_sha256":"21fda2fda8c1d467029f01b40c4ef9916cd505e7300d23ae0f6c46bb7b62c943","schema_version":"1.0","event_id":"sha256:21fda2fda8c1d467029f01b40c4ef9916cd505e7300d23ae0f6c46bb7b62c943"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V3UXVIGQQKKVQGGE3F5UATKRRQ/bundle.json","state_url":"https://pith.science/pith/V3UXVIGQQKKVQGGE3F5UATKRRQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V3UXVIGQQKKVQGGE3F5UATKRRQ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-11T10:47:38Z","links":{"resolver":"https://pith.science/pith/V3UXVIGQQKKVQGGE3F5UATKRRQ","bundle":"https://pith.science/pith/V3UXVIGQQKKVQGGE3F5UATKRRQ/bundle.json","state":"https://pith.science/pith/V3UXVIGQQKKVQGGE3F5UATKRRQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V3UXVIGQQKKVQGGE3F5UATKRRQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:V3UXVIGQQKKVQGGE3F5UATKRRQ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"7fc375199a7406f763795ab934d72e29702cd684b1f1f79123ea81df6b6fee4d","cross_cats_sorted":["cs.SY","math.OC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2023-10-03T23:23:41Z","title_canon_sha256":"ff4adbd322487411a7a87d9de8ac5c871ef9f4c247a93252858532925cfb5d2d"},"schema_version":"1.0","source":{"id":"2310.02485","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.02485","created_at":"2026-07-05T07:59:18Z"},{"alias_kind":"arxiv_version","alias_value":"2310.02485v2","created_at":"2026-07-05T07:59:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.02485","created_at":"2026-07-05T07:59:18Z"},{"alias_kind":"pith_short_12","alias_value":"V3UXVIGQQKKV","created_at":"2026-07-05T07:59:18Z"},{"alias_kind":"pith_short_16","alias_value":"V3UXVIGQQKKVQGGE","created_at":"2026-07-05T07:59:18Z"},{"alias_kind":"pith_short_8","alias_value":"V3UXVIGQ","created_at":"2026-07-05T07:59:18Z"}],"graph_snapshots":[{"event_id":"sha256:21fda2fda8c1d467029f01b40c4ef9916cd505e7300d23ae0f6c46bb7b62c943","target":"graph","created_at":"2026-07-05T07:59:18Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2310.02485/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper studies the problem of developing computationally efficient solutions for steering the distribution of the state of a stochastic, linear dynamical system between two boundary Gaussian distributions in the presence of chance-constraints on the state and control input. It is assumed that the state is only partially available through a measurement model corrupted with noise. The filtered state is reconstructed with a Kalman filter, the chance constraints are reformulated as difference of convex (DC) constraints, and the resulting covariance control problem is reformulated as a DC progr","authors_text":"Joshua Pilipovsky, Panagiotis Tsiotras","cross_cats":["cs.SY","math.OC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2023-10-03T23:23:41Z","title":"Computationally Efficient Chance Constrained Covariance Control with Output Feedback"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.02485","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:a4d83491928bb0c30653ed27ed6fa70ba5320c22a80ebd57f9fc1c2ec06adc43","target":"record","created_at":"2026-07-05T07:59:18Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"7fc375199a7406f763795ab934d72e29702cd684b1f1f79123ea81df6b6fee4d","cross_cats_sorted":["cs.SY","math.OC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2023-10-03T23:23:41Z","title_canon_sha256":"ff4adbd322487411a7a87d9de8ac5c871ef9f4c247a93252858532925cfb5d2d"},"schema_version":"1.0","source":{"id":"2310.02485","kind":"arxiv","version":2}},"canonical_sha256":"aee97aa0d082955818c4d97b404d518c370b0e6b4f63c65939dcf5777cedc4d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aee97aa0d082955818c4d97b404d518c370b0e6b4f63c65939dcf5777cedc4d9","first_computed_at":"2026-07-05T07:59:18.724235Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:59:18.724235Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dbo2xjQ2/tQPa+DPBeb/hWtNjZGzLuLBAQTDCVTyJoURCKhXjWHFCXAXnZpjPgXxH65YdVF/jRGlLSvW0Hl5DA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:59:18.724725Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.02485","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a4d83491928bb0c30653ed27ed6fa70ba5320c22a80ebd57f9fc1c2ec06adc43","sha256:21fda2fda8c1d467029f01b40c4ef9916cd505e7300d23ae0f6c46bb7b62c943"],"state_sha256":"2c1c188ae933acb539c16ab467e0296c48154632fb46c00751d22b8482b14f85"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0vy2HcXl8qR6L3pHheHn/NfStUxJ2SGXK0aNXRuw9KEmqA78PhyW2GLLv/mKS2maXqM1f0BQCppuW9D9YXIBDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T10:47:38.173834Z","bundle_sha256":"5bb2c438d3779b2dbe73939cdd94e9a50e1a8b0703fb7ad066d5e4a3504cc605"}}