{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:ATPPTBDZMT6GFGRFQ7TG4U4B26","short_pith_number":"pith:ATPPTBDZ","schema_version":"1.0","canonical_sha256":"04def9847964fc629a2587e66e5381d783a1405427eb6bb0677beba54a225509","source":{"kind":"arxiv","id":"1703.08676","version":1},"attestation_state":"computed","paper":{"title":"Statistical and Computational Tradeoff in Genetic Algorithm-Based Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.CO","authors_text":"Francesco Battaglia (1) ((1) Department of Statistical Sciences, Italy), Manuel Rizzo (1), Sapienza University of Rome","submitted_at":"2017-03-25T11:20:21Z","abstract_excerpt":"When a Genetic Algorithm (GA), or a stochastic algorithm in general, is employed in a statistical problem, the obtained result is affected by both variability due to sampling, that refers to the fact that only a sample is observed, and variability due to the stochastic elements of the algorithm. This topic can be easily set in a framework of statistical and computational tradeoff question, crucial in recent problems, for which statisticians must carefully set statistical and computational part of the analysis, taking account of some resource or time constraints. In the present work we analyze "},"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":"1703.08676","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2017-03-25T11:20:21Z","cross_cats_sorted":[],"title_canon_sha256":"db7d233f0b70a223e3ac4eef517830c451b1fcc9397ce3342909e27a26f31751","abstract_canon_sha256":"63739a97e87f809af03a7ebc3e172150416ddd77b569c55f7555d28ebd90033a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:51:59.205962Z","signature_b64":"0+9krRspYrZpi4EiOc+TOGsKsDDpFGe470J3VSLKJsTZTQRKCiot0/CtPQ1Pw8a1EVAl3X8klNpxWE4jqfvZDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"04def9847964fc629a2587e66e5381d783a1405427eb6bb0677beba54a225509","last_reissued_at":"2026-05-17T23:51:59.205531Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:51:59.205531Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Statistical and Computational Tradeoff in Genetic Algorithm-Based Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.CO","authors_text":"Francesco Battaglia (1) ((1) Department of Statistical Sciences, Italy), Manuel Rizzo (1), Sapienza University of Rome","submitted_at":"2017-03-25T11:20:21Z","abstract_excerpt":"When a Genetic Algorithm (GA), or a stochastic algorithm in general, is employed in a statistical problem, the obtained result is affected by both variability due to sampling, that refers to the fact that only a sample is observed, and variability due to the stochastic elements of the algorithm. This topic can be easily set in a framework of statistical and computational tradeoff question, crucial in recent problems, for which statisticians must carefully set statistical and computational part of the analysis, taking account of some resource or time constraints. In the present work we analyze "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.08676","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":"1703.08676","created_at":"2026-05-17T23:51:59.205597+00:00"},{"alias_kind":"arxiv_version","alias_value":"1703.08676v1","created_at":"2026-05-17T23:51:59.205597+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.08676","created_at":"2026-05-17T23:51:59.205597+00:00"},{"alias_kind":"pith_short_12","alias_value":"ATPPTBDZMT6G","created_at":"2026-05-18T12:31:08.081275+00:00"},{"alias_kind":"pith_short_16","alias_value":"ATPPTBDZMT6GFGRF","created_at":"2026-05-18T12:31:08.081275+00:00"},{"alias_kind":"pith_short_8","alias_value":"ATPPTBDZ","created_at":"2026-05-18T12:31:08.081275+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/ATPPTBDZMT6GFGRFQ7TG4U4B26","json":"https://pith.science/pith/ATPPTBDZMT6GFGRFQ7TG4U4B26.json","graph_json":"https://pith.science/api/pith-number/ATPPTBDZMT6GFGRFQ7TG4U4B26/graph.json","events_json":"https://pith.science/api/pith-number/ATPPTBDZMT6GFGRFQ7TG4U4B26/events.json","paper":"https://pith.science/paper/ATPPTBDZ"},"agent_actions":{"view_html":"https://pith.science/pith/ATPPTBDZMT6GFGRFQ7TG4U4B26","download_json":"https://pith.science/pith/ATPPTBDZMT6GFGRFQ7TG4U4B26.json","view_paper":"https://pith.science/paper/ATPPTBDZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1703.08676&json=true","fetch_graph":"https://pith.science/api/pith-number/ATPPTBDZMT6GFGRFQ7TG4U4B26/graph.json","fetch_events":"https://pith.science/api/pith-number/ATPPTBDZMT6GFGRFQ7TG4U4B26/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ATPPTBDZMT6GFGRFQ7TG4U4B26/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ATPPTBDZMT6GFGRFQ7TG4U4B26/action/storage_attestation","attest_author":"https://pith.science/pith/ATPPTBDZMT6GFGRFQ7TG4U4B26/action/author_attestation","sign_citation":"https://pith.science/pith/ATPPTBDZMT6GFGRFQ7TG4U4B26/action/citation_signature","submit_replication":"https://pith.science/pith/ATPPTBDZMT6GFGRFQ7TG4U4B26/action/replication_record"}},"created_at":"2026-05-17T23:51:59.205597+00:00","updated_at":"2026-05-17T23:51:59.205597+00:00"}