{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:GBNKFX73BKMLQ2Y4GF46EQ26E6","short_pith_number":"pith:GBNKFX73","canonical_record":{"source":{"id":"1705.08691","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2017-05-24T10:45:24Z","cross_cats_sorted":[],"title_canon_sha256":"cb59ecf62b0ce79d859449fd428085502974e0c5c2ed82a70d65451bde784829","abstract_canon_sha256":"b9954c5592a6e6345b8c711cf1712e4ff44dea153f177f290fbffc25458b3443"},"schema_version":"1.0"},"canonical_sha256":"305aa2dffb0a98b86b1c3179e2435e27ba62bdc55b2475630bf4e31676af41f7","source":{"kind":"arxiv","id":"1705.08691","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.08691","created_at":"2026-05-18T00:43:44Z"},{"alias_kind":"arxiv_version","alias_value":"1705.08691v1","created_at":"2026-05-18T00:43:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.08691","created_at":"2026-05-18T00:43:44Z"},{"alias_kind":"pith_short_12","alias_value":"GBNKFX73BKML","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_16","alias_value":"GBNKFX73BKMLQ2Y4","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_8","alias_value":"GBNKFX73","created_at":"2026-05-18T12:31:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:GBNKFX73BKMLQ2Y4GF46EQ26E6","target":"record","payload":{"canonical_record":{"source":{"id":"1705.08691","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2017-05-24T10:45:24Z","cross_cats_sorted":[],"title_canon_sha256":"cb59ecf62b0ce79d859449fd428085502974e0c5c2ed82a70d65451bde784829","abstract_canon_sha256":"b9954c5592a6e6345b8c711cf1712e4ff44dea153f177f290fbffc25458b3443"},"schema_version":"1.0"},"canonical_sha256":"305aa2dffb0a98b86b1c3179e2435e27ba62bdc55b2475630bf4e31676af41f7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:43:44.574591Z","signature_b64":"mmZIBpnxqPS1whMXX2qGXKMqkE75X3KNjUYMrObJ0t0kaMS6iRJ9Z6hQoQJReNochg0G34r2viKC0sMLrPXVBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"305aa2dffb0a98b86b1c3179e2435e27ba62bdc55b2475630bf4e31676af41f7","last_reissued_at":"2026-05-18T00:43:44.574092Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:43:44.574092Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1705.08691","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":"2026-05-18T00:43:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h3eiAJkiMeG1Xs9TObBONio8+YhRhgXO552HReDJYb+tuA/eyC8Z9CLH3OFTcNN6BDZdoWq9E6fUOKzWLQ+FCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T18:42:21.378089Z"},"content_sha256":"7291b23c9e67d4f5e06e06988d6bd50862c437f94aa56db0001a9434f911c0fa","schema_version":"1.0","event_id":"sha256:7291b23c9e67d4f5e06e06988d6bd50862c437f94aa56db0001a9434f911c0fa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:GBNKFX73BKMLQ2Y4GF46EQ26E6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"General Algorithmic Search","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Guillem Duran, Jos\\'e M. Amig\\'o, Sergio Hern\\'andez","submitted_at":"2017-05-24T10:45:24Z","abstract_excerpt":"In this paper we present a metaheuristic for global optimization called General Algorithmic Search (GAS). Specifically, GAS is a stochastic, single-objective method that evolves a swarm of agents in search of a global extremum. Numerical simulations with a sample of 31 test functions show that GAS outperforms Basin Hopping, Cuckoo Search, and Differential Evolution, especially in concurrent optimization, i.e., when several runs with different initial settings are executed and the first best wins. Python codes of all algorithms and complementary information are available online."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.08691","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":"2026-05-18T00:43:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Yn5pNSmCpRQB/Uu0cm9wYcwpnKrqer/mdFN4KO9ed3Kd+XI9qqf71eNxZA1OEgmOVq1xetlYFNTKmFytx6S7Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T18:42:21.378447Z"},"content_sha256":"082c28a0d1c15525f31d26ad254d72a5f66653cc6ac8eed8c3f3d2bd9e4dc010","schema_version":"1.0","event_id":"sha256:082c28a0d1c15525f31d26ad254d72a5f66653cc6ac8eed8c3f3d2bd9e4dc010"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GBNKFX73BKMLQ2Y4GF46EQ26E6/bundle.json","state_url":"https://pith.science/pith/GBNKFX73BKMLQ2Y4GF46EQ26E6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GBNKFX73BKMLQ2Y4GF46EQ26E6/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":"2026-06-27T18:42:21Z","links":{"resolver":"https://pith.science/pith/GBNKFX73BKMLQ2Y4GF46EQ26E6","bundle":"https://pith.science/pith/GBNKFX73BKMLQ2Y4GF46EQ26E6/bundle.json","state":"https://pith.science/pith/GBNKFX73BKMLQ2Y4GF46EQ26E6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GBNKFX73BKMLQ2Y4GF46EQ26E6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:GBNKFX73BKMLQ2Y4GF46EQ26E6","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":"b9954c5592a6e6345b8c711cf1712e4ff44dea153f177f290fbffc25458b3443","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2017-05-24T10:45:24Z","title_canon_sha256":"cb59ecf62b0ce79d859449fd428085502974e0c5c2ed82a70d65451bde784829"},"schema_version":"1.0","source":{"id":"1705.08691","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.08691","created_at":"2026-05-18T00:43:44Z"},{"alias_kind":"arxiv_version","alias_value":"1705.08691v1","created_at":"2026-05-18T00:43:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.08691","created_at":"2026-05-18T00:43:44Z"},{"alias_kind":"pith_short_12","alias_value":"GBNKFX73BKML","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_16","alias_value":"GBNKFX73BKMLQ2Y4","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_8","alias_value":"GBNKFX73","created_at":"2026-05-18T12:31:15Z"}],"graph_snapshots":[{"event_id":"sha256:082c28a0d1c15525f31d26ad254d72a5f66653cc6ac8eed8c3f3d2bd9e4dc010","target":"graph","created_at":"2026-05-18T00:43:44Z","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":"In this paper we present a metaheuristic for global optimization called General Algorithmic Search (GAS). Specifically, GAS is a stochastic, single-objective method that evolves a swarm of agents in search of a global extremum. Numerical simulations with a sample of 31 test functions show that GAS outperforms Basin Hopping, Cuckoo Search, and Differential Evolution, especially in concurrent optimization, i.e., when several runs with different initial settings are executed and the first best wins. Python codes of all algorithms and complementary information are available online.","authors_text":"Guillem Duran, Jos\\'e M. Amig\\'o, Sergio Hern\\'andez","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2017-05-24T10:45:24Z","title":"General Algorithmic Search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.08691","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":"sha256:7291b23c9e67d4f5e06e06988d6bd50862c437f94aa56db0001a9434f911c0fa","target":"record","created_at":"2026-05-18T00:43:44Z","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":"b9954c5592a6e6345b8c711cf1712e4ff44dea153f177f290fbffc25458b3443","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2017-05-24T10:45:24Z","title_canon_sha256":"cb59ecf62b0ce79d859449fd428085502974e0c5c2ed82a70d65451bde784829"},"schema_version":"1.0","source":{"id":"1705.08691","kind":"arxiv","version":1}},"canonical_sha256":"305aa2dffb0a98b86b1c3179e2435e27ba62bdc55b2475630bf4e31676af41f7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"305aa2dffb0a98b86b1c3179e2435e27ba62bdc55b2475630bf4e31676af41f7","first_computed_at":"2026-05-18T00:43:44.574092Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:43:44.574092Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mmZIBpnxqPS1whMXX2qGXKMqkE75X3KNjUYMrObJ0t0kaMS6iRJ9Z6hQoQJReNochg0G34r2viKC0sMLrPXVBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:43:44.574591Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.08691","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7291b23c9e67d4f5e06e06988d6bd50862c437f94aa56db0001a9434f911c0fa","sha256:082c28a0d1c15525f31d26ad254d72a5f66653cc6ac8eed8c3f3d2bd9e4dc010"],"state_sha256":"91e0d71bcc03c1a1de86aebf72f4e2425d311da85e2f53d8e77cdee4226ff42a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QRTbIjsArKEe6uhgLyn5xrZGAlpDb8cLL3Q0F0AcyD9Ol1RPBUnh7p0VpsgUo9GqQEah4YtuDzGgT4SuJfQ1Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-27T18:42:21.380285Z","bundle_sha256":"8b3d440fdd9240b2a7158f23b33608aa3adcac96e85938dcdd3bb8d68163b82f"}}