{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:Y3CWRXMRMP2TYD4T3JD5DPAX5I","short_pith_number":"pith:Y3CWRXMR","canonical_record":{"source":{"id":"1307.0841","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2013-07-02T20:47:26Z","cross_cats_sorted":[],"title_canon_sha256":"16ee27110a95320f9a9ba4484da2a8eacf29b719bb51522c434800d79200ec1d","abstract_canon_sha256":"eaf93c93bc8207f12f06d58945219780c68f8b021f8f45a669b634b247a5ccdb"},"schema_version":"1.0"},"canonical_sha256":"c6c568dd9163f53c0f93da47d1bc17ea0cdbc4f36be085523b1161ad986239e9","source":{"kind":"arxiv","id":"1307.0841","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1307.0841","created_at":"2026-05-18T03:19:23Z"},{"alias_kind":"arxiv_version","alias_value":"1307.0841v1","created_at":"2026-05-18T03:19:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1307.0841","created_at":"2026-05-18T03:19:23Z"},{"alias_kind":"pith_short_12","alias_value":"Y3CWRXMRMP2T","created_at":"2026-05-18T12:28:06Z"},{"alias_kind":"pith_short_16","alias_value":"Y3CWRXMRMP2TYD4T","created_at":"2026-05-18T12:28:06Z"},{"alias_kind":"pith_short_8","alias_value":"Y3CWRXMR","created_at":"2026-05-18T12:28:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:Y3CWRXMRMP2TYD4T3JD5DPAX5I","target":"record","payload":{"canonical_record":{"source":{"id":"1307.0841","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2013-07-02T20:47:26Z","cross_cats_sorted":[],"title_canon_sha256":"16ee27110a95320f9a9ba4484da2a8eacf29b719bb51522c434800d79200ec1d","abstract_canon_sha256":"eaf93c93bc8207f12f06d58945219780c68f8b021f8f45a669b634b247a5ccdb"},"schema_version":"1.0"},"canonical_sha256":"c6c568dd9163f53c0f93da47d1bc17ea0cdbc4f36be085523b1161ad986239e9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:19:23.933886Z","signature_b64":"jYUEH7YSdTpD2SFI5pLmRF1ogQgx7TT/j6CBMy+h1BGkdJUvCQul/Nhp1BU4m0mWH8BYMqyRqkqITSAP+zhUDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c6c568dd9163f53c0f93da47d1bc17ea0cdbc4f36be085523b1161ad986239e9","last_reissued_at":"2026-05-18T03:19:23.933197Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:19:23.933197Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1307.0841","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":"2026-05-18T03:19:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BauMns/AD4C1NI+pezqclqQAgRHXm+nWHgFxf9Ve+ZBlYUBfAzKpugu43vxKsvlIS4gXSVPtlLXSZt6VlXn+BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T17:31:25.345333Z"},"content_sha256":"b63a9c8c81ffa999570bf988b6c2f3d22c30c25188a1b34403c44ea1a62f6c3a","schema_version":"1.0","event_id":"sha256:b63a9c8c81ffa999570bf988b6c2f3d22c30c25188a1b34403c44ea1a62f6c3a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:Y3CWRXMRMP2TYD4T3JD5DPAX5I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Comparing various regression methods on ensemble strategies in differential evolution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Iztok Fister, Iztok Fister Jr., Janez Brest","submitted_at":"2013-07-02T20:47:26Z","abstract_excerpt":"Differential evolution possesses a multitude of various strategies for generating new trial solutions. Unfortunately, the best strategy is not known in advance. Moreover, this strategy usually depends on the problem to be solved. This paper suggests using various regression methods (like random forest, extremely randomized trees, gradient boosting, decision trees, and a generalized linear model) on ensemble strategies in differential evolution algorithm by predicting the best differential evolution strategy during the run. Comparing the preliminary results of this algorithm by optimizing a sui"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1307.0841","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":"2026-05-18T03:19:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v9FzAdCtaK3pF0dxbz18V6NOYJduGjV4Hq6f6PJO/ChHbftlo5BPgjN379sP18ksZ/PLC7+I1x2NVGDPNuxxDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T17:31:25.346045Z"},"content_sha256":"e302e559872f97eae6cab288192f87f3a740b7af798cd62c445a8607125a01ff","schema_version":"1.0","event_id":"sha256:e302e559872f97eae6cab288192f87f3a740b7af798cd62c445a8607125a01ff"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Y3CWRXMRMP2TYD4T3JD5DPAX5I/bundle.json","state_url":"https://pith.science/pith/Y3CWRXMRMP2TYD4T3JD5DPAX5I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Y3CWRXMRMP2TYD4T3JD5DPAX5I/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":"2026-05-27T17:31:25Z","links":{"resolver":"https://pith.science/pith/Y3CWRXMRMP2TYD4T3JD5DPAX5I","bundle":"https://pith.science/pith/Y3CWRXMRMP2TYD4T3JD5DPAX5I/bundle.json","state":"https://pith.science/pith/Y3CWRXMRMP2TYD4T3JD5DPAX5I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Y3CWRXMRMP2TYD4T3JD5DPAX5I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:Y3CWRXMRMP2TYD4T3JD5DPAX5I","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":"eaf93c93bc8207f12f06d58945219780c68f8b021f8f45a669b634b247a5ccdb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2013-07-02T20:47:26Z","title_canon_sha256":"16ee27110a95320f9a9ba4484da2a8eacf29b719bb51522c434800d79200ec1d"},"schema_version":"1.0","source":{"id":"1307.0841","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1307.0841","created_at":"2026-05-18T03:19:23Z"},{"alias_kind":"arxiv_version","alias_value":"1307.0841v1","created_at":"2026-05-18T03:19:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1307.0841","created_at":"2026-05-18T03:19:23Z"},{"alias_kind":"pith_short_12","alias_value":"Y3CWRXMRMP2T","created_at":"2026-05-18T12:28:06Z"},{"alias_kind":"pith_short_16","alias_value":"Y3CWRXMRMP2TYD4T","created_at":"2026-05-18T12:28:06Z"},{"alias_kind":"pith_short_8","alias_value":"Y3CWRXMR","created_at":"2026-05-18T12:28:06Z"}],"graph_snapshots":[{"event_id":"sha256:e302e559872f97eae6cab288192f87f3a740b7af798cd62c445a8607125a01ff","target":"graph","created_at":"2026-05-18T03:19:23Z","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":"Differential evolution possesses a multitude of various strategies for generating new trial solutions. Unfortunately, the best strategy is not known in advance. Moreover, this strategy usually depends on the problem to be solved. This paper suggests using various regression methods (like random forest, extremely randomized trees, gradient boosting, decision trees, and a generalized linear model) on ensemble strategies in differential evolution algorithm by predicting the best differential evolution strategy during the run. Comparing the preliminary results of this algorithm by optimizing a sui","authors_text":"Iztok Fister, Iztok Fister Jr., Janez Brest","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2013-07-02T20:47:26Z","title":"Comparing various regression methods on ensemble strategies in differential evolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1307.0841","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:b63a9c8c81ffa999570bf988b6c2f3d22c30c25188a1b34403c44ea1a62f6c3a","target":"record","created_at":"2026-05-18T03:19:23Z","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":"eaf93c93bc8207f12f06d58945219780c68f8b021f8f45a669b634b247a5ccdb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2013-07-02T20:47:26Z","title_canon_sha256":"16ee27110a95320f9a9ba4484da2a8eacf29b719bb51522c434800d79200ec1d"},"schema_version":"1.0","source":{"id":"1307.0841","kind":"arxiv","version":1}},"canonical_sha256":"c6c568dd9163f53c0f93da47d1bc17ea0cdbc4f36be085523b1161ad986239e9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c6c568dd9163f53c0f93da47d1bc17ea0cdbc4f36be085523b1161ad986239e9","first_computed_at":"2026-05-18T03:19:23.933197Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:19:23.933197Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jYUEH7YSdTpD2SFI5pLmRF1ogQgx7TT/j6CBMy+h1BGkdJUvCQul/Nhp1BU4m0mWH8BYMqyRqkqITSAP+zhUDw==","signature_status":"signed_v1","signed_at":"2026-05-18T03:19:23.933886Z","signed_message":"canonical_sha256_bytes"},"source_id":"1307.0841","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b63a9c8c81ffa999570bf988b6c2f3d22c30c25188a1b34403c44ea1a62f6c3a","sha256:e302e559872f97eae6cab288192f87f3a740b7af798cd62c445a8607125a01ff"],"state_sha256":"5b88eda562f2332041470c65a3617611b307aec315caf7466459c6626609fd6c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4TXEmS0v89IK4SEATX2FpQdtOMm3QfNAGr6yTXzTT6ysRGh/Emc3OIZHYiFhe3RbYx/7jYMW71awn/bnaRQJCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T17:31:25.349909Z","bundle_sha256":"c3097d8be5f61dc355f46244558265997a8d827225a2d813804924c67e763313"}}