{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:MNP6QAQ6MCZZBOZYV6GYUF7ACV","short_pith_number":"pith:MNP6QAQ6","schema_version":"1.0","canonical_sha256":"635fe8021e60b390bb38af8d8a17e0156355c986215b45fafc6de7c5ca794925","source":{"kind":"arxiv","id":"1803.06380","version":3},"attestation_state":"computed","paper":{"title":"Distributed Optimization for Second-Order Multi-Agent Systems with Dynamic Event-Triggered Communication","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Jemin George, Karl H. Johansson, Lisha Yao, Tao Yang, Xinlei Yi","submitted_at":"2018-03-16T19:35:36Z","abstract_excerpt":"In this paper, we propose a fully distributed algorithm for second-order continuous-time multi-agent systems to solve the distributed optimization problem. The global objective function is a sum of private cost functions associated with the individual agents and the interaction between agents is described by a weighted undirected graph. We show the exponential convergence of the proposed algorithm if the underlying graph is connected, each private cost function is locally gradient-Lipschitz-continuous, and the global objective function is restricted strongly convex with respect to the global m"},"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":"1803.06380","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2018-03-16T19:35:36Z","cross_cats_sorted":[],"title_canon_sha256":"cdfa30349511cdbe801f22ddd82ded97dfacaf4cf6f0e2a5d7bfbde2970bb841","abstract_canon_sha256":"91fa41378674060d52eb4f086a198da8d6e3c0942476e233c50e31aa343ba207"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:48:45.905531Z","signature_b64":"T2s85rX888NcMgRvVBEZigZphfqGA2k4qYuYDRI+aiONU2pEUrNGc77ruwJsiNNKzMetfm+p/+7bxzuoEQ4QAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"635fe8021e60b390bb38af8d8a17e0156355c986215b45fafc6de7c5ca794925","last_reissued_at":"2026-05-17T23:48:45.905041Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:48:45.905041Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Distributed Optimization for Second-Order Multi-Agent Systems with Dynamic Event-Triggered Communication","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Jemin George, Karl H. Johansson, Lisha Yao, Tao Yang, Xinlei Yi","submitted_at":"2018-03-16T19:35:36Z","abstract_excerpt":"In this paper, we propose a fully distributed algorithm for second-order continuous-time multi-agent systems to solve the distributed optimization problem. The global objective function is a sum of private cost functions associated with the individual agents and the interaction between agents is described by a weighted undirected graph. We show the exponential convergence of the proposed algorithm if the underlying graph is connected, each private cost function is locally gradient-Lipschitz-continuous, and the global objective function is restricted strongly convex with respect to the global m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.06380","kind":"arxiv","version":3},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1803.06380","created_at":"2026-05-17T23:48:45.905101+00:00"},{"alias_kind":"arxiv_version","alias_value":"1803.06380v3","created_at":"2026-05-17T23:48:45.905101+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.06380","created_at":"2026-05-17T23:48:45.905101+00:00"},{"alias_kind":"pith_short_12","alias_value":"MNP6QAQ6MCZZ","created_at":"2026-05-18T12:32:37.024351+00:00"},{"alias_kind":"pith_short_16","alias_value":"MNP6QAQ6MCZZBOZY","created_at":"2026-05-18T12:32:37.024351+00:00"},{"alias_kind":"pith_short_8","alias_value":"MNP6QAQ6","created_at":"2026-05-18T12:32:37.024351+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/MNP6QAQ6MCZZBOZYV6GYUF7ACV","json":"https://pith.science/pith/MNP6QAQ6MCZZBOZYV6GYUF7ACV.json","graph_json":"https://pith.science/api/pith-number/MNP6QAQ6MCZZBOZYV6GYUF7ACV/graph.json","events_json":"https://pith.science/api/pith-number/MNP6QAQ6MCZZBOZYV6GYUF7ACV/events.json","paper":"https://pith.science/paper/MNP6QAQ6"},"agent_actions":{"view_html":"https://pith.science/pith/MNP6QAQ6MCZZBOZYV6GYUF7ACV","download_json":"https://pith.science/pith/MNP6QAQ6MCZZBOZYV6GYUF7ACV.json","view_paper":"https://pith.science/paper/MNP6QAQ6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1803.06380&json=true","fetch_graph":"https://pith.science/api/pith-number/MNP6QAQ6MCZZBOZYV6GYUF7ACV/graph.json","fetch_events":"https://pith.science/api/pith-number/MNP6QAQ6MCZZBOZYV6GYUF7ACV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MNP6QAQ6MCZZBOZYV6GYUF7ACV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MNP6QAQ6MCZZBOZYV6GYUF7ACV/action/storage_attestation","attest_author":"https://pith.science/pith/MNP6QAQ6MCZZBOZYV6GYUF7ACV/action/author_attestation","sign_citation":"https://pith.science/pith/MNP6QAQ6MCZZBOZYV6GYUF7ACV/action/citation_signature","submit_replication":"https://pith.science/pith/MNP6QAQ6MCZZBOZYV6GYUF7ACV/action/replication_record"}},"created_at":"2026-05-17T23:48:45.905101+00:00","updated_at":"2026-05-17T23:48:45.905101+00:00"}