{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:VLNHNCEH6F2M5IEIKMQK3ER2TL","short_pith_number":"pith:VLNHNCEH","schema_version":"1.0","canonical_sha256":"aada768887f174cea0885320ad923a9ad6eaacf45c9332e4105f9376930357a7","source":{"kind":"arxiv","id":"2502.00593","version":1},"attestation_state":"computed","paper":{"title":"Dominated Novelty Search: Rethinking Local Competition in Quality-Diversity","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.NE","authors_text":"Antoine Cully, Hannah Janmohamed, Lee Spector, Lisa Coiffard, Luca Grillotti, Maxence Faldor, Ryan Bahlous-Boldi","submitted_at":"2025-02-01T23:15:50Z","abstract_excerpt":"Quality-Diversity is a family of evolutionary algorithms that generate diverse, high-performing solutions through local competition principles inspired by natural evolution. While research has focused on improving specific aspects of Quality-Diversity algorithms, surprisingly little attention has been paid to investigating alternative formulations of local competition itself -- the core mechanism distinguishing Quality-Diversity from traditional evolutionary algorithms. Most approaches implement local competition through explicit collection mechanisms like fixed grids or unstructured archives,"},"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":"2502.00593","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2025-02-01T23:15:50Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"67d46711e68b1a5c2e448d882c52486499b08e54488f9dec97527f4b0103cb18","abstract_canon_sha256":"0f0cccfac35ac5afe5b4d328e170f17442584ea00a82f30495e6cf0cc23ee5c5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:08:35.830491Z","signature_b64":"AHUTx3vX3EnWOJaORSReF8WtaWxPVJWs5yxbxFLBJEcBFpOcNR77Cvsy+ZzExU9iOdPCKd/XYITzsKJWUF56Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aada768887f174cea0885320ad923a9ad6eaacf45c9332e4105f9376930357a7","last_reissued_at":"2026-07-05T10:08:35.830059Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:08:35.830059Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Dominated Novelty Search: Rethinking Local Competition in Quality-Diversity","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.NE","authors_text":"Antoine Cully, Hannah Janmohamed, Lee Spector, Lisa Coiffard, Luca Grillotti, Maxence Faldor, Ryan Bahlous-Boldi","submitted_at":"2025-02-01T23:15:50Z","abstract_excerpt":"Quality-Diversity is a family of evolutionary algorithms that generate diverse, high-performing solutions through local competition principles inspired by natural evolution. While research has focused on improving specific aspects of Quality-Diversity algorithms, surprisingly little attention has been paid to investigating alternative formulations of local competition itself -- the core mechanism distinguishing Quality-Diversity from traditional evolutionary algorithms. Most approaches implement local competition through explicit collection mechanisms like fixed grids or unstructured archives,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.00593","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2502.00593/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2502.00593","created_at":"2026-07-05T10:08:35.830117+00:00"},{"alias_kind":"arxiv_version","alias_value":"2502.00593v1","created_at":"2026-07-05T10:08:35.830117+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.00593","created_at":"2026-07-05T10:08:35.830117+00:00"},{"alias_kind":"pith_short_12","alias_value":"VLNHNCEH6F2M","created_at":"2026-07-05T10:08:35.830117+00:00"},{"alias_kind":"pith_short_16","alias_value":"VLNHNCEH6F2M5IEI","created_at":"2026-07-05T10:08:35.830117+00:00"},{"alias_kind":"pith_short_8","alias_value":"VLNHNCEH","created_at":"2026-07-05T10:08:35.830117+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/VLNHNCEH6F2M5IEIKMQK3ER2TL","json":"https://pith.science/pith/VLNHNCEH6F2M5IEIKMQK3ER2TL.json","graph_json":"https://pith.science/api/pith-number/VLNHNCEH6F2M5IEIKMQK3ER2TL/graph.json","events_json":"https://pith.science/api/pith-number/VLNHNCEH6F2M5IEIKMQK3ER2TL/events.json","paper":"https://pith.science/paper/VLNHNCEH"},"agent_actions":{"view_html":"https://pith.science/pith/VLNHNCEH6F2M5IEIKMQK3ER2TL","download_json":"https://pith.science/pith/VLNHNCEH6F2M5IEIKMQK3ER2TL.json","view_paper":"https://pith.science/paper/VLNHNCEH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2502.00593&json=true","fetch_graph":"https://pith.science/api/pith-number/VLNHNCEH6F2M5IEIKMQK3ER2TL/graph.json","fetch_events":"https://pith.science/api/pith-number/VLNHNCEH6F2M5IEIKMQK3ER2TL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VLNHNCEH6F2M5IEIKMQK3ER2TL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VLNHNCEH6F2M5IEIKMQK3ER2TL/action/storage_attestation","attest_author":"https://pith.science/pith/VLNHNCEH6F2M5IEIKMQK3ER2TL/action/author_attestation","sign_citation":"https://pith.science/pith/VLNHNCEH6F2M5IEIKMQK3ER2TL/action/citation_signature","submit_replication":"https://pith.science/pith/VLNHNCEH6F2M5IEIKMQK3ER2TL/action/replication_record"}},"created_at":"2026-07-05T10:08:35.830117+00:00","updated_at":"2026-07-05T10:08:35.830117+00:00"}