{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:3JHPQFJVOFI65VLSKETNLWV7KE","short_pith_number":"pith:3JHPQFJV","schema_version":"1.0","canonical_sha256":"da4ef815357151eed5725126d5dabf511ddd194564b92ad3a1f58a11f0f191c9","source":{"kind":"arxiv","id":"1502.02793","version":1},"attestation_state":"computed","paper":{"title":"The Benefit of Sex in Noisy Evolutionary Search","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Andrew M. Sutton, Martin Krejca, Timo K\\\"otzing, Tobias Friedrich","submitted_at":"2015-02-10T06:26:15Z","abstract_excerpt":"The benefit of sexual recombination is one of the most fundamental questions both in population genetics and evolutionary computation. It is widely believed that recombination helps solving difficult optimization problems. We present the first result, which rigorously proves that it is beneficial to use sexual recombination in an uncertain environment with a noisy fitness function. For this, we model sexual recombination with a simple estimation of distribution algorithm called the Compact Genetic Algorithm (cGA), which we compare with the classical $\\mu+1$ EA. For a simple noisy fitness funct"},"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":"1502.02793","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2015-02-10T06:26:15Z","cross_cats_sorted":[],"title_canon_sha256":"b6610a654597db23972aa102cf45ebe232c39ad1dad8f929e4763be6f037fe2f","abstract_canon_sha256":"da1865d5701dac940691e16ee789bc4388d40c7c5ed38742d536e8c42dc33a45"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:27:30.936169Z","signature_b64":"rlvDStS0/PN5xUV323RW9ltO/nJEOcnHawn1pZgLuH4f/BSTgRdAwnJJ8joBN11AWn1GXeolkxnxYJzmkztWBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"da4ef815357151eed5725126d5dabf511ddd194564b92ad3a1f58a11f0f191c9","last_reissued_at":"2026-05-18T02:27:30.935440Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:27:30.935440Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Benefit of Sex in Noisy Evolutionary Search","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Andrew M. Sutton, Martin Krejca, Timo K\\\"otzing, Tobias Friedrich","submitted_at":"2015-02-10T06:26:15Z","abstract_excerpt":"The benefit of sexual recombination is one of the most fundamental questions both in population genetics and evolutionary computation. It is widely believed that recombination helps solving difficult optimization problems. We present the first result, which rigorously proves that it is beneficial to use sexual recombination in an uncertain environment with a noisy fitness function. For this, we model sexual recombination with a simple estimation of distribution algorithm called the Compact Genetic Algorithm (cGA), which we compare with the classical $\\mu+1$ EA. For a simple noisy fitness funct"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1502.02793","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":"1502.02793","created_at":"2026-05-18T02:27:30.935551+00:00"},{"alias_kind":"arxiv_version","alias_value":"1502.02793v1","created_at":"2026-05-18T02:27:30.935551+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1502.02793","created_at":"2026-05-18T02:27:30.935551+00:00"},{"alias_kind":"pith_short_12","alias_value":"3JHPQFJVOFI6","created_at":"2026-05-18T12:29:02.477457+00:00"},{"alias_kind":"pith_short_16","alias_value":"3JHPQFJVOFI65VLS","created_at":"2026-05-18T12:29:02.477457+00:00"},{"alias_kind":"pith_short_8","alias_value":"3JHPQFJV","created_at":"2026-05-18T12:29:02.477457+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/3JHPQFJVOFI65VLSKETNLWV7KE","json":"https://pith.science/pith/3JHPQFJVOFI65VLSKETNLWV7KE.json","graph_json":"https://pith.science/api/pith-number/3JHPQFJVOFI65VLSKETNLWV7KE/graph.json","events_json":"https://pith.science/api/pith-number/3JHPQFJVOFI65VLSKETNLWV7KE/events.json","paper":"https://pith.science/paper/3JHPQFJV"},"agent_actions":{"view_html":"https://pith.science/pith/3JHPQFJVOFI65VLSKETNLWV7KE","download_json":"https://pith.science/pith/3JHPQFJVOFI65VLSKETNLWV7KE.json","view_paper":"https://pith.science/paper/3JHPQFJV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1502.02793&json=true","fetch_graph":"https://pith.science/api/pith-number/3JHPQFJVOFI65VLSKETNLWV7KE/graph.json","fetch_events":"https://pith.science/api/pith-number/3JHPQFJVOFI65VLSKETNLWV7KE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3JHPQFJVOFI65VLSKETNLWV7KE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3JHPQFJVOFI65VLSKETNLWV7KE/action/storage_attestation","attest_author":"https://pith.science/pith/3JHPQFJVOFI65VLSKETNLWV7KE/action/author_attestation","sign_citation":"https://pith.science/pith/3JHPQFJVOFI65VLSKETNLWV7KE/action/citation_signature","submit_replication":"https://pith.science/pith/3JHPQFJVOFI65VLSKETNLWV7KE/action/replication_record"}},"created_at":"2026-05-18T02:27:30.935551+00:00","updated_at":"2026-05-18T02:27:30.935551+00:00"}