{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:JT2YHGAAV5LZ76NJNG2WQL7RPL","short_pith_number":"pith:JT2YHGAA","schema_version":"1.0","canonical_sha256":"4cf5839800af579ff9a969b5682ff17ac1799654aebed420f8de3eb3855c3225","source":{"kind":"arxiv","id":"1601.03550","version":1},"attestation_state":"computed","paper":{"title":"Solving A Class of Discrete Event Simulation-based Optimization Problems Using \"Optimality in Probability\"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Christos G. Cassandras, Jianfeng Mao","submitted_at":"2016-01-14T10:40:57Z","abstract_excerpt":"We approach a class of discrete event simulation-based optimization problems using optimality in probability, an approach which yields what is termed a \"champion solution\". Compared to the traditional optimality in expectation, this approach favors the solution whose actual performance is more likely better than that of any other solution; this is an effective alternative to the traditional optimality sense, especially when facing a dynamic and nonstationary environment. Moreover, using optimality in probability is computationally promising for a class of discrete event simulation-based optimi"},"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":"1601.03550","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2016-01-14T10:40:57Z","cross_cats_sorted":[],"title_canon_sha256":"196c3e43c81824917697dbe3078588283d4aa6f5bf749edc0eb9b2761b11208e","abstract_canon_sha256":"6b466c9c1ddddc111c3b548858dd0606537bf3d8e38f33d4265d6272e1ac4f69"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:22:53.181728Z","signature_b64":"l+qPjpB+GximRrokc1vcYqPYwUH5r6yv3W64i+Qdv7OAFVOvrkKkAK3d4voXwWUQ7Emz93h47g90JOwyvaooBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4cf5839800af579ff9a969b5682ff17ac1799654aebed420f8de3eb3855c3225","last_reissued_at":"2026-05-18T01:22:53.181285Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:22:53.181285Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Solving A Class of Discrete Event Simulation-based Optimization Problems Using \"Optimality in Probability\"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Christos G. Cassandras, Jianfeng Mao","submitted_at":"2016-01-14T10:40:57Z","abstract_excerpt":"We approach a class of discrete event simulation-based optimization problems using optimality in probability, an approach which yields what is termed a \"champion solution\". Compared to the traditional optimality in expectation, this approach favors the solution whose actual performance is more likely better than that of any other solution; this is an effective alternative to the traditional optimality sense, especially when facing a dynamic and nonstationary environment. Moreover, using optimality in probability is computationally promising for a class of discrete event simulation-based optimi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1601.03550","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1601.03550","created_at":"2026-05-18T01:22:53.181367+00:00"},{"alias_kind":"arxiv_version","alias_value":"1601.03550v1","created_at":"2026-05-18T01:22:53.181367+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1601.03550","created_at":"2026-05-18T01:22:53.181367+00:00"},{"alias_kind":"pith_short_12","alias_value":"JT2YHGAAV5LZ","created_at":"2026-05-18T12:30:25.849896+00:00"},{"alias_kind":"pith_short_16","alias_value":"JT2YHGAAV5LZ76NJ","created_at":"2026-05-18T12:30:25.849896+00:00"},{"alias_kind":"pith_short_8","alias_value":"JT2YHGAA","created_at":"2026-05-18T12:30:25.849896+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/JT2YHGAAV5LZ76NJNG2WQL7RPL","json":"https://pith.science/pith/JT2YHGAAV5LZ76NJNG2WQL7RPL.json","graph_json":"https://pith.science/api/pith-number/JT2YHGAAV5LZ76NJNG2WQL7RPL/graph.json","events_json":"https://pith.science/api/pith-number/JT2YHGAAV5LZ76NJNG2WQL7RPL/events.json","paper":"https://pith.science/paper/JT2YHGAA"},"agent_actions":{"view_html":"https://pith.science/pith/JT2YHGAAV5LZ76NJNG2WQL7RPL","download_json":"https://pith.science/pith/JT2YHGAAV5LZ76NJNG2WQL7RPL.json","view_paper":"https://pith.science/paper/JT2YHGAA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1601.03550&json=true","fetch_graph":"https://pith.science/api/pith-number/JT2YHGAAV5LZ76NJNG2WQL7RPL/graph.json","fetch_events":"https://pith.science/api/pith-number/JT2YHGAAV5LZ76NJNG2WQL7RPL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JT2YHGAAV5LZ76NJNG2WQL7RPL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JT2YHGAAV5LZ76NJNG2WQL7RPL/action/storage_attestation","attest_author":"https://pith.science/pith/JT2YHGAAV5LZ76NJNG2WQL7RPL/action/author_attestation","sign_citation":"https://pith.science/pith/JT2YHGAAV5LZ76NJNG2WQL7RPL/action/citation_signature","submit_replication":"https://pith.science/pith/JT2YHGAAV5LZ76NJNG2WQL7RPL/action/replication_record"}},"created_at":"2026-05-18T01:22:53.181367+00:00","updated_at":"2026-05-18T01:22:53.181367+00:00"}