{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:DF4B6MFQHJIQL56DGUB4LKWMHJ","short_pith_number":"pith:DF4B6MFQ","canonical_record":{"source":{"id":"1302.5900","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2013-02-24T12:40:14Z","cross_cats_sorted":[],"title_canon_sha256":"603d94abb6d07c8272720ea8fbab4339712da2e35df7da102185ae31f47c1176","abstract_canon_sha256":"ac86cfaadde9371f8bfe4441f74a58f109e28852cb18b0981655424056216487"},"schema_version":"1.0"},"canonical_sha256":"19781f30b03a5105f7c33503c5aacc3a5f031791cf85138b90ecd0c6e1c61c22","source":{"kind":"arxiv","id":"1302.5900","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1302.5900","created_at":"2026-05-18T03:32:33Z"},{"alias_kind":"arxiv_version","alias_value":"1302.5900v1","created_at":"2026-05-18T03:32:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1302.5900","created_at":"2026-05-18T03:32:33Z"},{"alias_kind":"pith_short_12","alias_value":"DF4B6MFQHJIQ","created_at":"2026-05-18T12:27:43Z"},{"alias_kind":"pith_short_16","alias_value":"DF4B6MFQHJIQL56D","created_at":"2026-05-18T12:27:43Z"},{"alias_kind":"pith_short_8","alias_value":"DF4B6MFQ","created_at":"2026-05-18T12:27:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:DF4B6MFQHJIQL56DGUB4LKWMHJ","target":"record","payload":{"canonical_record":{"source":{"id":"1302.5900","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2013-02-24T12:40:14Z","cross_cats_sorted":[],"title_canon_sha256":"603d94abb6d07c8272720ea8fbab4339712da2e35df7da102185ae31f47c1176","abstract_canon_sha256":"ac86cfaadde9371f8bfe4441f74a58f109e28852cb18b0981655424056216487"},"schema_version":"1.0"},"canonical_sha256":"19781f30b03a5105f7c33503c5aacc3a5f031791cf85138b90ecd0c6e1c61c22","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:32:33.343139Z","signature_b64":"aIT3+pDZRVTR9t/Ms6RWvhaz04eI5+sIWz72uJI3PtfqhyJjxlFZVrM8Hx0Ukd1187Sa1a+tggttIwy5W+P7Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"19781f30b03a5105f7c33503c5aacc3a5f031791cf85138b90ecd0c6e1c61c22","last_reissued_at":"2026-05-18T03:32:33.342379Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:32:33.342379Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1302.5900","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:32:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"raS5sHHEW6qp28smlt58ZggO6GRi1Ryn99bfXrJlwQCTihj8OkXn0JGJnHJ9TTNqJQXWgQLz6NdsLhksfYarDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T02:38:46.149043Z"},"content_sha256":"b773a6b7ed0b0e712fc342314df4911fb3cdf0f78299623f31ac4cfbcaa3b49d","schema_version":"1.0","event_id":"sha256:b773a6b7ed0b0e712fc342314df4911fb3cdf0f78299623f31ac4cfbcaa3b49d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:DF4B6MFQHJIQL56DGUB4LKWMHJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Distributed model predictive control of leader-follower systems using an interior point method with efficient computations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Dragos N. Clipici, Ion Necoara, Sorin Olaru","submitted_at":"2013-02-24T12:40:14Z","abstract_excerpt":"Standard model predictive control strategies imply the online computation of control inputs at each sampling instance, which traditionally limits this type of control scheme to systems with slow dynamics. This paper focuses on distributed model predictive control for large-scale systems comprised of interacting linear subsystems, where the online computations required for the control input can be distributed amongst them. A model predictive controller based on a distributed interior point method is derived, for which every subsystem in the network can compute stabilizing control inputs using d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1302.5900","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T03:32:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sAYBMY7vUvhHB91Ao9iqxaxFZGouy/J1769AcbguJai3N/e6hCOqgCknkJ/2+KkTZRtfWpiz6IvdtqOUE3BWCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T02:38:46.149752Z"},"content_sha256":"252c5cbd4935ca8391dde4d4b2962347142bceb1ba2ad5803133621be103eb5e","schema_version":"1.0","event_id":"sha256:252c5cbd4935ca8391dde4d4b2962347142bceb1ba2ad5803133621be103eb5e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DF4B6MFQHJIQL56DGUB4LKWMHJ/bundle.json","state_url":"https://pith.science/pith/DF4B6MFQHJIQL56DGUB4LKWMHJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DF4B6MFQHJIQL56DGUB4LKWMHJ/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":"2026-05-26T02:38:46Z","links":{"resolver":"https://pith.science/pith/DF4B6MFQHJIQL56DGUB4LKWMHJ","bundle":"https://pith.science/pith/DF4B6MFQHJIQL56DGUB4LKWMHJ/bundle.json","state":"https://pith.science/pith/DF4B6MFQHJIQL56DGUB4LKWMHJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DF4B6MFQHJIQL56DGUB4LKWMHJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:DF4B6MFQHJIQL56DGUB4LKWMHJ","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":"ac86cfaadde9371f8bfe4441f74a58f109e28852cb18b0981655424056216487","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2013-02-24T12:40:14Z","title_canon_sha256":"603d94abb6d07c8272720ea8fbab4339712da2e35df7da102185ae31f47c1176"},"schema_version":"1.0","source":{"id":"1302.5900","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1302.5900","created_at":"2026-05-18T03:32:33Z"},{"alias_kind":"arxiv_version","alias_value":"1302.5900v1","created_at":"2026-05-18T03:32:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1302.5900","created_at":"2026-05-18T03:32:33Z"},{"alias_kind":"pith_short_12","alias_value":"DF4B6MFQHJIQ","created_at":"2026-05-18T12:27:43Z"},{"alias_kind":"pith_short_16","alias_value":"DF4B6MFQHJIQL56D","created_at":"2026-05-18T12:27:43Z"},{"alias_kind":"pith_short_8","alias_value":"DF4B6MFQ","created_at":"2026-05-18T12:27:43Z"}],"graph_snapshots":[{"event_id":"sha256:252c5cbd4935ca8391dde4d4b2962347142bceb1ba2ad5803133621be103eb5e","target":"graph","created_at":"2026-05-18T03:32:33Z","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"},"paper":{"abstract_excerpt":"Standard model predictive control strategies imply the online computation of control inputs at each sampling instance, which traditionally limits this type of control scheme to systems with slow dynamics. This paper focuses on distributed model predictive control for large-scale systems comprised of interacting linear subsystems, where the online computations required for the control input can be distributed amongst them. A model predictive controller based on a distributed interior point method is derived, for which every subsystem in the network can compute stabilizing control inputs using d","authors_text":"Dragos N. Clipici, Ion Necoara, Sorin Olaru","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2013-02-24T12:40:14Z","title":"Distributed model predictive control of leader-follower systems using an interior point method with efficient computations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1302.5900","kind":"arxiv","version":1},"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:b773a6b7ed0b0e712fc342314df4911fb3cdf0f78299623f31ac4cfbcaa3b49d","target":"record","created_at":"2026-05-18T03:32:33Z","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":"ac86cfaadde9371f8bfe4441f74a58f109e28852cb18b0981655424056216487","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2013-02-24T12:40:14Z","title_canon_sha256":"603d94abb6d07c8272720ea8fbab4339712da2e35df7da102185ae31f47c1176"},"schema_version":"1.0","source":{"id":"1302.5900","kind":"arxiv","version":1}},"canonical_sha256":"19781f30b03a5105f7c33503c5aacc3a5f031791cf85138b90ecd0c6e1c61c22","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"19781f30b03a5105f7c33503c5aacc3a5f031791cf85138b90ecd0c6e1c61c22","first_computed_at":"2026-05-18T03:32:33.342379Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:32:33.342379Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aIT3+pDZRVTR9t/Ms6RWvhaz04eI5+sIWz72uJI3PtfqhyJjxlFZVrM8Hx0Ukd1187Sa1a+tggttIwy5W+P7Ag==","signature_status":"signed_v1","signed_at":"2026-05-18T03:32:33.343139Z","signed_message":"canonical_sha256_bytes"},"source_id":"1302.5900","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b773a6b7ed0b0e712fc342314df4911fb3cdf0f78299623f31ac4cfbcaa3b49d","sha256:252c5cbd4935ca8391dde4d4b2962347142bceb1ba2ad5803133621be103eb5e"],"state_sha256":"cf0cbc7a6c3c7e7763d671a4b86933889cfdf60d138fd2b3ee55e1088848e358"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N7nSi0Gaw6N1oW7HrBKaoFbIp+8W1h+vf8aKDR59kwMjDxym2wjidd6odu73Wsd3u4A17anvQRFaKhcn2H7ECQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T02:38:46.153564Z","bundle_sha256":"3b88379cc9b7d76f3fccf3d477960cf6698376a88814323e1cb3085bdca8301d"}}