{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:SO7OONINXJI3XWL2V7A5VQAM3P","short_pith_number":"pith:SO7OONIN","canonical_record":{"source":{"id":"2005.04320","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2020-05-08T23:49:13Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"ee54a0d314fdfc16bf7b64cebe79e0bb9814cc8110c0e38adf06a179add6345b","abstract_canon_sha256":"571b778b4ef69e353f12ee50bc8c2e1922290c8f1cdc781241c7c09e19180a64"},"schema_version":"1.0"},"canonical_sha256":"93bee7350dba51bbd97aafc1dac00cdbd2f5aae2723a0dae2277508dd2d95eff","source":{"kind":"arxiv","id":"2005.04320","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.04320","created_at":"2026-07-05T01:01:42Z"},{"alias_kind":"arxiv_version","alias_value":"2005.04320v1","created_at":"2026-07-05T01:01:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.04320","created_at":"2026-07-05T01:01:42Z"},{"alias_kind":"pith_short_12","alias_value":"SO7OONINXJI3","created_at":"2026-07-05T01:01:42Z"},{"alias_kind":"pith_short_16","alias_value":"SO7OONINXJI3XWL2","created_at":"2026-07-05T01:01:42Z"},{"alias_kind":"pith_short_8","alias_value":"SO7OONIN","created_at":"2026-07-05T01:01:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:SO7OONINXJI3XWL2V7A5VQAM3P","target":"record","payload":{"canonical_record":{"source":{"id":"2005.04320","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2020-05-08T23:49:13Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"ee54a0d314fdfc16bf7b64cebe79e0bb9814cc8110c0e38adf06a179add6345b","abstract_canon_sha256":"571b778b4ef69e353f12ee50bc8c2e1922290c8f1cdc781241c7c09e19180a64"},"schema_version":"1.0"},"canonical_sha256":"93bee7350dba51bbd97aafc1dac00cdbd2f5aae2723a0dae2277508dd2d95eff","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:01:42.759719Z","signature_b64":"niaHbh643hBCK9Alpdh3HUxI49qpwp+DzSmAPiB8A0eJAkADfueebSdcS9zEMcj8VGIefuOFz3U0xpIKZZDODg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"93bee7350dba51bbd97aafc1dac00cdbd2f5aae2723a0dae2277508dd2d95eff","last_reissued_at":"2026-07-05T01:01:42.759174Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:01:42.759174Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2005.04320","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:01:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T3OVCwhlWDw1yKboPxzDqpoa0+4AvPa5PXnBTM0s/1NvHoL/UdQwigLp6KS0ILT1rbKZ6heJNKGZrTL0I88gCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:58:09.108375Z"},"content_sha256":"57554ed2e3187e3e264a1e7ca4cb6a222eda9bd8194bac96dca0d2f84dbf0f36","schema_version":"1.0","event_id":"sha256:57554ed2e3187e3e264a1e7ca4cb6a222eda9bd8194bac96dca0d2f84dbf0f36"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:SO7OONINXJI3XWL2V7A5VQAM3P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"BOP-Elites, a Bayesian Optimisation algorithm for Quality-Diversity search","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"math.OC","authors_text":"Juergen Branke, Paul Kent","submitted_at":"2020-05-08T23:49:13Z","abstract_excerpt":"Quality Diversity (QD) algorithms such as MAP-Elites are a class of optimisation techniques that attempt to find a set of high-performing points from an objective function while enforcing behavioural diversity of the points over one or more interpretable, user chosen, feature functions.\n  In this paper we propose the Bayesian Optimisation of Elites (BOP-Elites) algorithm that uses techniques from Bayesian Optimisation to explicitly model both quality and diversity with Gaussian Processes. By considering user defined regions of the feature space as 'niches' our task is to find the optimal solut"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.04320","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/2005.04320/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:01:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EHCkAzzt7zrYgQwhNOfANiiLRkbus7GBct1KQoDMIm800oEFPZawusPYWjx4EN//2evPg6U4LZkAxfMqjKB2Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:58:09.109274Z"},"content_sha256":"5d9d99bc6b3cab0c291d302a66db6c93705bf0139dab214de38cc5317f887235","schema_version":"1.0","event_id":"sha256:5d9d99bc6b3cab0c291d302a66db6c93705bf0139dab214de38cc5317f887235"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SO7OONINXJI3XWL2V7A5VQAM3P/bundle.json","state_url":"https://pith.science/pith/SO7OONINXJI3XWL2V7A5VQAM3P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SO7OONINXJI3XWL2V7A5VQAM3P/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-09T04:58:09Z","links":{"resolver":"https://pith.science/pith/SO7OONINXJI3XWL2V7A5VQAM3P","bundle":"https://pith.science/pith/SO7OONINXJI3XWL2V7A5VQAM3P/bundle.json","state":"https://pith.science/pith/SO7OONINXJI3XWL2V7A5VQAM3P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SO7OONINXJI3XWL2V7A5VQAM3P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:SO7OONINXJI3XWL2V7A5VQAM3P","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"571b778b4ef69e353f12ee50bc8c2e1922290c8f1cdc781241c7c09e19180a64","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2020-05-08T23:49:13Z","title_canon_sha256":"ee54a0d314fdfc16bf7b64cebe79e0bb9814cc8110c0e38adf06a179add6345b"},"schema_version":"1.0","source":{"id":"2005.04320","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.04320","created_at":"2026-07-05T01:01:42Z"},{"alias_kind":"arxiv_version","alias_value":"2005.04320v1","created_at":"2026-07-05T01:01:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.04320","created_at":"2026-07-05T01:01:42Z"},{"alias_kind":"pith_short_12","alias_value":"SO7OONINXJI3","created_at":"2026-07-05T01:01:42Z"},{"alias_kind":"pith_short_16","alias_value":"SO7OONINXJI3XWL2","created_at":"2026-07-05T01:01:42Z"},{"alias_kind":"pith_short_8","alias_value":"SO7OONIN","created_at":"2026-07-05T01:01:42Z"}],"graph_snapshots":[{"event_id":"sha256:5d9d99bc6b3cab0c291d302a66db6c93705bf0139dab214de38cc5317f887235","target":"graph","created_at":"2026-07-05T01:01:42Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2005.04320/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quality Diversity (QD) algorithms such as MAP-Elites are a class of optimisation techniques that attempt to find a set of high-performing points from an objective function while enforcing behavioural diversity of the points over one or more interpretable, user chosen, feature functions.\n  In this paper we propose the Bayesian Optimisation of Elites (BOP-Elites) algorithm that uses techniques from Bayesian Optimisation to explicitly model both quality and diversity with Gaussian Processes. By considering user defined regions of the feature space as 'niches' our task is to find the optimal solut","authors_text":"Juergen Branke, Paul Kent","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2020-05-08T23:49:13Z","title":"BOP-Elites, a Bayesian Optimisation algorithm for Quality-Diversity search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.04320","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:57554ed2e3187e3e264a1e7ca4cb6a222eda9bd8194bac96dca0d2f84dbf0f36","target":"record","created_at":"2026-07-05T01:01:42Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"571b778b4ef69e353f12ee50bc8c2e1922290c8f1cdc781241c7c09e19180a64","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2020-05-08T23:49:13Z","title_canon_sha256":"ee54a0d314fdfc16bf7b64cebe79e0bb9814cc8110c0e38adf06a179add6345b"},"schema_version":"1.0","source":{"id":"2005.04320","kind":"arxiv","version":1}},"canonical_sha256":"93bee7350dba51bbd97aafc1dac00cdbd2f5aae2723a0dae2277508dd2d95eff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"93bee7350dba51bbd97aafc1dac00cdbd2f5aae2723a0dae2277508dd2d95eff","first_computed_at":"2026-07-05T01:01:42.759174Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:01:42.759174Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"niaHbh643hBCK9Alpdh3HUxI49qpwp+DzSmAPiB8A0eJAkADfueebSdcS9zEMcj8VGIefuOFz3U0xpIKZZDODg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:01:42.759719Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.04320","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:57554ed2e3187e3e264a1e7ca4cb6a222eda9bd8194bac96dca0d2f84dbf0f36","sha256:5d9d99bc6b3cab0c291d302a66db6c93705bf0139dab214de38cc5317f887235"],"state_sha256":"9b88ee67406021c1849541892e0aa2905d91ef55b430176633cacd5adc55dadc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PECN6Wlz2lJd43bfV+mvRp10LZxcWvFF/W0e+rXKxljquoxXI5O2zrggPCgp/2xjF/nUwPgD8lH9pwi077w7DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T04:58:09.131689Z","bundle_sha256":"a1c6f42ac7be9e5f4900c49d85fa6924a5ac194bbcd9ba921383b0933589719c"}}