{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:2YXTAFYBCM5QJS4H6DHVREPPLU","short_pith_number":"pith:2YXTAFYB","schema_version":"1.0","canonical_sha256":"d62f301701133b04cb87f0cf5891ef5d0c8155ef3c57356a8f1868c92c077720","source":{"kind":"arxiv","id":"1907.06912","version":1},"attestation_state":"computed","paper":{"title":"Modeling User Selection in Quality Diversity","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Alexander Asteroth, Alexander Hagg, Thomas B\\\"ack","submitted_at":"2019-07-16T09:39:55Z","abstract_excerpt":"The initial phase in real world engineering optimization and design is a process of discovery in which not all requirements can be made in advance, or are hard to formalize. Quality diversity algorithms, which produce a variety of high performing solutions, provide a unique chance to support engineers and designers in the search for what is possible and high performing. In this work we begin to answer the question how a user can interact with quality diversity and turn it into an interactive innovation aid. By modeling a user's selection it can be determined whether the optimization is driftin"},"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":"1907.06912","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-07-16T09:39:55Z","cross_cats_sorted":[],"title_canon_sha256":"3f8c501c2f8e472bb14fdc7ba240dd108a4b23915c50f4e1d290fd64abbd1463","abstract_canon_sha256":"0922e3df8b4a956aefa7f8035929b3fa095f67ef07154907c6d5462adc26471e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:40:28.708980Z","signature_b64":"d4MRA6HE4wt4tSnQt+8Zk2HZMERROelFpmlu4QQZAcV/XXju6EDaSZOlqYkD0K50oSIWmpvCcWrgs90B1n0cAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d62f301701133b04cb87f0cf5891ef5d0c8155ef3c57356a8f1868c92c077720","last_reissued_at":"2026-05-17T23:40:28.708404Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:40:28.708404Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Modeling User Selection in Quality Diversity","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Alexander Asteroth, Alexander Hagg, Thomas B\\\"ack","submitted_at":"2019-07-16T09:39:55Z","abstract_excerpt":"The initial phase in real world engineering optimization and design is a process of discovery in which not all requirements can be made in advance, or are hard to formalize. Quality diversity algorithms, which produce a variety of high performing solutions, provide a unique chance to support engineers and designers in the search for what is possible and high performing. In this work we begin to answer the question how a user can interact with quality diversity and turn it into an interactive innovation aid. By modeling a user's selection it can be determined whether the optimization is driftin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.06912","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":"1907.06912","created_at":"2026-05-17T23:40:28.708475+00:00"},{"alias_kind":"arxiv_version","alias_value":"1907.06912v1","created_at":"2026-05-17T23:40:28.708475+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.06912","created_at":"2026-05-17T23:40:28.708475+00:00"},{"alias_kind":"pith_short_12","alias_value":"2YXTAFYBCM5Q","created_at":"2026-05-18T12:33:07.085635+00:00"},{"alias_kind":"pith_short_16","alias_value":"2YXTAFYBCM5QJS4H","created_at":"2026-05-18T12:33:07.085635+00:00"},{"alias_kind":"pith_short_8","alias_value":"2YXTAFYB","created_at":"2026-05-18T12:33:07.085635+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/2YXTAFYBCM5QJS4H6DHVREPPLU","json":"https://pith.science/pith/2YXTAFYBCM5QJS4H6DHVREPPLU.json","graph_json":"https://pith.science/api/pith-number/2YXTAFYBCM5QJS4H6DHVREPPLU/graph.json","events_json":"https://pith.science/api/pith-number/2YXTAFYBCM5QJS4H6DHVREPPLU/events.json","paper":"https://pith.science/paper/2YXTAFYB"},"agent_actions":{"view_html":"https://pith.science/pith/2YXTAFYBCM5QJS4H6DHVREPPLU","download_json":"https://pith.science/pith/2YXTAFYBCM5QJS4H6DHVREPPLU.json","view_paper":"https://pith.science/paper/2YXTAFYB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1907.06912&json=true","fetch_graph":"https://pith.science/api/pith-number/2YXTAFYBCM5QJS4H6DHVREPPLU/graph.json","fetch_events":"https://pith.science/api/pith-number/2YXTAFYBCM5QJS4H6DHVREPPLU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2YXTAFYBCM5QJS4H6DHVREPPLU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2YXTAFYBCM5QJS4H6DHVREPPLU/action/storage_attestation","attest_author":"https://pith.science/pith/2YXTAFYBCM5QJS4H6DHVREPPLU/action/author_attestation","sign_citation":"https://pith.science/pith/2YXTAFYBCM5QJS4H6DHVREPPLU/action/citation_signature","submit_replication":"https://pith.science/pith/2YXTAFYBCM5QJS4H6DHVREPPLU/action/replication_record"}},"created_at":"2026-05-17T23:40:28.708475+00:00","updated_at":"2026-05-17T23:40:28.708475+00:00"}