{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:LICEPUCTLO3O3I3GAB7LRJV2SG","short_pith_number":"pith:LICEPUCT","schema_version":"1.0","canonical_sha256":"5a0447d0535bb6eda366007eb8a6ba918a5eea0a08098adbc8075fb310439a05","source":{"kind":"arxiv","id":"1808.05850","version":1},"attestation_state":"computed","paper":{"title":"Towards a Theory-Guided Benchmarking Suite for Discrete Black-Box Optimization Heuristics: Profiling $(1+\\lambda)$ EA Variants on OneMax and LeadingOnes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Carola Doerr, Furong Ye, Hao Wang, Sander van Rijn, Thomas B\\\"ack","submitted_at":"2018-08-17T13:23:06Z","abstract_excerpt":"Theoretical and empirical research on evolutionary computation methods complement each other by providing two fundamentally different approaches towards a better understanding of black-box optimization heuristics. In discrete optimization, both streams developed rather independently of each other, but we observe today an increasing interest in reconciling these two sub-branches. In continuous optimization, the COCO (COmparing Continuous Optimisers) benchmarking suite has established itself as an important platform that theoreticians and practitioners use to exchange research ideas and question"},"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":"1808.05850","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2018-08-17T13:23:06Z","cross_cats_sorted":[],"title_canon_sha256":"abc233dc4dddf17fafbf6751c03869a8f0338221b8b46aa3b882500d3a9bec4e","abstract_canon_sha256":"2f35fd16d9fe5ba58bdc841e92507a90ee8081ae82c665c0117c4298bf59a26f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:07:51.909392Z","signature_b64":"+fKU9nP0CvCyJ3sploCCY/HzEFWFi/M6BvO6D+bxJAU4JuoTDPWPsZdQg6/td3Yv5wDN1Kv6lFAGH5TfoFIcDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5a0447d0535bb6eda366007eb8a6ba918a5eea0a08098adbc8075fb310439a05","last_reissued_at":"2026-05-18T00:07:51.908707Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:07:51.908707Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Towards a Theory-Guided Benchmarking Suite for Discrete Black-Box Optimization Heuristics: Profiling $(1+\\lambda)$ EA Variants on OneMax and LeadingOnes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Carola Doerr, Furong Ye, Hao Wang, Sander van Rijn, Thomas B\\\"ack","submitted_at":"2018-08-17T13:23:06Z","abstract_excerpt":"Theoretical and empirical research on evolutionary computation methods complement each other by providing two fundamentally different approaches towards a better understanding of black-box optimization heuristics. In discrete optimization, both streams developed rather independently of each other, but we observe today an increasing interest in reconciling these two sub-branches. In continuous optimization, the COCO (COmparing Continuous Optimisers) benchmarking suite has established itself as an important platform that theoreticians and practitioners use to exchange research ideas and question"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.05850","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":"1808.05850","created_at":"2026-05-18T00:07:51.908817+00:00"},{"alias_kind":"arxiv_version","alias_value":"1808.05850v1","created_at":"2026-05-18T00:07:51.908817+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.05850","created_at":"2026-05-18T00:07:51.908817+00:00"},{"alias_kind":"pith_short_12","alias_value":"LICEPUCTLO3O","created_at":"2026-05-18T12:32:37.024351+00:00"},{"alias_kind":"pith_short_16","alias_value":"LICEPUCTLO3O3I3G","created_at":"2026-05-18T12:32:37.024351+00:00"},{"alias_kind":"pith_short_8","alias_value":"LICEPUCT","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/LICEPUCTLO3O3I3GAB7LRJV2SG","json":"https://pith.science/pith/LICEPUCTLO3O3I3GAB7LRJV2SG.json","graph_json":"https://pith.science/api/pith-number/LICEPUCTLO3O3I3GAB7LRJV2SG/graph.json","events_json":"https://pith.science/api/pith-number/LICEPUCTLO3O3I3GAB7LRJV2SG/events.json","paper":"https://pith.science/paper/LICEPUCT"},"agent_actions":{"view_html":"https://pith.science/pith/LICEPUCTLO3O3I3GAB7LRJV2SG","download_json":"https://pith.science/pith/LICEPUCTLO3O3I3GAB7LRJV2SG.json","view_paper":"https://pith.science/paper/LICEPUCT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1808.05850&json=true","fetch_graph":"https://pith.science/api/pith-number/LICEPUCTLO3O3I3GAB7LRJV2SG/graph.json","fetch_events":"https://pith.science/api/pith-number/LICEPUCTLO3O3I3GAB7LRJV2SG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LICEPUCTLO3O3I3GAB7LRJV2SG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LICEPUCTLO3O3I3GAB7LRJV2SG/action/storage_attestation","attest_author":"https://pith.science/pith/LICEPUCTLO3O3I3GAB7LRJV2SG/action/author_attestation","sign_citation":"https://pith.science/pith/LICEPUCTLO3O3I3GAB7LRJV2SG/action/citation_signature","submit_replication":"https://pith.science/pith/LICEPUCTLO3O3I3GAB7LRJV2SG/action/replication_record"}},"created_at":"2026-05-18T00:07:51.908817+00:00","updated_at":"2026-05-18T00:07:51.908817+00:00"}