{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:7LPVHJUR6S253YCF4UABA4SYRL","short_pith_number":"pith:7LPVHJUR","canonical_record":{"source":{"id":"1607.03317","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2016-07-12T11:52:48Z","cross_cats_sorted":["cs.AI","q-bio.PE"],"title_canon_sha256":"451b8aa45858b4b2b22f7a69f61e5ca9f111ad55bec9f1ccf9e7578fa9369359","abstract_canon_sha256":"2ed66a96ed47df36fe718d4c80d25ca469ea3718884a6db617dcecac3fe235bc"},"schema_version":"1.0"},"canonical_sha256":"fadf53a691f4b5dde045e5001072588ac794236e260025c4ebde8d93d18f3c82","source":{"kind":"arxiv","id":"1607.03317","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1607.03317","created_at":"2026-05-18T01:11:09Z"},{"alias_kind":"arxiv_version","alias_value":"1607.03317v1","created_at":"2026-05-18T01:11:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.03317","created_at":"2026-05-18T01:11:09Z"},{"alias_kind":"pith_short_12","alias_value":"7LPVHJUR6S25","created_at":"2026-05-18T12:30:04Z"},{"alias_kind":"pith_short_16","alias_value":"7LPVHJUR6S253YCF","created_at":"2026-05-18T12:30:04Z"},{"alias_kind":"pith_short_8","alias_value":"7LPVHJUR","created_at":"2026-05-18T12:30:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:7LPVHJUR6S253YCF4UABA4SYRL","target":"record","payload":{"canonical_record":{"source":{"id":"1607.03317","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2016-07-12T11:52:48Z","cross_cats_sorted":["cs.AI","q-bio.PE"],"title_canon_sha256":"451b8aa45858b4b2b22f7a69f61e5ca9f111ad55bec9f1ccf9e7578fa9369359","abstract_canon_sha256":"2ed66a96ed47df36fe718d4c80d25ca469ea3718884a6db617dcecac3fe235bc"},"schema_version":"1.0"},"canonical_sha256":"fadf53a691f4b5dde045e5001072588ac794236e260025c4ebde8d93d18f3c82","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:11:09.274827Z","signature_b64":"zq6fCEQyvGAUHRkA/Jy99UQ8dh9yzF7JhV8L482jSnprs7oxAz2YRBJTwdGe2Oj93buyNA/R1Iu0/bu+wJkyAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fadf53a691f4b5dde045e5001072588ac794236e260025c4ebde8d93d18f3c82","last_reissued_at":"2026-05-18T01:11:09.274389Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:11:09.274389Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1607.03317","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":"2026-05-18T01:11:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TsBqa1dbOrqFSsYQlrsM/TZFtfCMHUl9VPcsycMpHQ4gZejNTS8qELOFfjsTBUJDnuVRgUW/4tcuSYIpppp+CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T22:15:22.217375Z"},"content_sha256":"a273e37f2e0c11e91b3ed51d708cc80ea37bd1d0ebcf62e30ab20ceb93d5e168","schema_version":"1.0","event_id":"sha256:a273e37f2e0c11e91b3ed51d708cc80ea37bd1d0ebcf62e30ab20ceb93d5e168"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:7LPVHJUR6S253YCF4UABA4SYRL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Populations can be essential in tracking dynamic optima","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","q-bio.PE"],"primary_cat":"cs.NE","authors_text":"Duc-Cuong Dang, Per Kristian Lehre, Thomas Jansen","submitted_at":"2016-07-12T11:52:48Z","abstract_excerpt":"Real-world optimisation problems are often dynamic. Previously good solutions must be updated or replaced due to changes in objectives and constraints. It is often claimed that evolutionary algorithms are particularly suitable for dynamic optimisation because a large population can contain different solutions that may be useful in the future. However, rigorous theoretical demonstrations for how populations in dynamic optimisation can be essential are sparse and restricted to special cases.\n  This paper provides theoretical explanations of how populations can be essential in evolutionary dynami"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.03317","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:11:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6canv6w0tqH55rAy1m5HZ29UOqKY6RyBAkznbOb47beIDH90FgtIASMC92VHemY9n0UccvSDod72c5gpKrhVAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T22:15:22.218027Z"},"content_sha256":"251598bd5444d9fe0aa29bd5949d801af24c1e7a0e393c8e1f263276b8cb729e","schema_version":"1.0","event_id":"sha256:251598bd5444d9fe0aa29bd5949d801af24c1e7a0e393c8e1f263276b8cb729e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7LPVHJUR6S253YCF4UABA4SYRL/bundle.json","state_url":"https://pith.science/pith/7LPVHJUR6S253YCF4UABA4SYRL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7LPVHJUR6S253YCF4UABA4SYRL/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":"2026-05-27T22:15:22Z","links":{"resolver":"https://pith.science/pith/7LPVHJUR6S253YCF4UABA4SYRL","bundle":"https://pith.science/pith/7LPVHJUR6S253YCF4UABA4SYRL/bundle.json","state":"https://pith.science/pith/7LPVHJUR6S253YCF4UABA4SYRL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7LPVHJUR6S253YCF4UABA4SYRL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:7LPVHJUR6S253YCF4UABA4SYRL","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":"2ed66a96ed47df36fe718d4c80d25ca469ea3718884a6db617dcecac3fe235bc","cross_cats_sorted":["cs.AI","q-bio.PE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2016-07-12T11:52:48Z","title_canon_sha256":"451b8aa45858b4b2b22f7a69f61e5ca9f111ad55bec9f1ccf9e7578fa9369359"},"schema_version":"1.0","source":{"id":"1607.03317","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1607.03317","created_at":"2026-05-18T01:11:09Z"},{"alias_kind":"arxiv_version","alias_value":"1607.03317v1","created_at":"2026-05-18T01:11:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.03317","created_at":"2026-05-18T01:11:09Z"},{"alias_kind":"pith_short_12","alias_value":"7LPVHJUR6S25","created_at":"2026-05-18T12:30:04Z"},{"alias_kind":"pith_short_16","alias_value":"7LPVHJUR6S253YCF","created_at":"2026-05-18T12:30:04Z"},{"alias_kind":"pith_short_8","alias_value":"7LPVHJUR","created_at":"2026-05-18T12:30:04Z"}],"graph_snapshots":[{"event_id":"sha256:251598bd5444d9fe0aa29bd5949d801af24c1e7a0e393c8e1f263276b8cb729e","target":"graph","created_at":"2026-05-18T01:11:09Z","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"},"paper":{"abstract_excerpt":"Real-world optimisation problems are often dynamic. Previously good solutions must be updated or replaced due to changes in objectives and constraints. It is often claimed that evolutionary algorithms are particularly suitable for dynamic optimisation because a large population can contain different solutions that may be useful in the future. However, rigorous theoretical demonstrations for how populations in dynamic optimisation can be essential are sparse and restricted to special cases.\n  This paper provides theoretical explanations of how populations can be essential in evolutionary dynami","authors_text":"Duc-Cuong Dang, Per Kristian Lehre, Thomas Jansen","cross_cats":["cs.AI","q-bio.PE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2016-07-12T11:52:48Z","title":"Populations can be essential in tracking dynamic optima"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.03317","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:a273e37f2e0c11e91b3ed51d708cc80ea37bd1d0ebcf62e30ab20ceb93d5e168","target":"record","created_at":"2026-05-18T01:11:09Z","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":"2ed66a96ed47df36fe718d4c80d25ca469ea3718884a6db617dcecac3fe235bc","cross_cats_sorted":["cs.AI","q-bio.PE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2016-07-12T11:52:48Z","title_canon_sha256":"451b8aa45858b4b2b22f7a69f61e5ca9f111ad55bec9f1ccf9e7578fa9369359"},"schema_version":"1.0","source":{"id":"1607.03317","kind":"arxiv","version":1}},"canonical_sha256":"fadf53a691f4b5dde045e5001072588ac794236e260025c4ebde8d93d18f3c82","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fadf53a691f4b5dde045e5001072588ac794236e260025c4ebde8d93d18f3c82","first_computed_at":"2026-05-18T01:11:09.274389Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:11:09.274389Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zq6fCEQyvGAUHRkA/Jy99UQ8dh9yzF7JhV8L482jSnprs7oxAz2YRBJTwdGe2Oj93buyNA/R1Iu0/bu+wJkyAA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:11:09.274827Z","signed_message":"canonical_sha256_bytes"},"source_id":"1607.03317","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a273e37f2e0c11e91b3ed51d708cc80ea37bd1d0ebcf62e30ab20ceb93d5e168","sha256:251598bd5444d9fe0aa29bd5949d801af24c1e7a0e393c8e1f263276b8cb729e"],"state_sha256":"26a8e2a9ed1f72e0d3beed4935948d7ccccbe328b0a4cfd416da741479ef01b7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C5jNs4+QzbaFQ8IehQ7y1P2hJ+n3yVojX4ptodyvPNVSXceYYDNW2BwBCsas0siepaG+xkdJtuPUhgHsPMi9Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T22:15:22.220570Z","bundle_sha256":"1abe0474ab0a0b13ee40fc9ca022c3f0999e25a02f972eb1a08c75ab5cd5c48c"}}