{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:HAS4RXXQZ5USD7GO6LNP5QR2CG","short_pith_number":"pith:HAS4RXXQ","schema_version":"1.0","canonical_sha256":"3825c8def0cf6921fccef2dafec23a11a066d98ae35127c1cd239357ed41ecae","source":{"kind":"arxiv","id":"2508.07691","version":1},"attestation_state":"computed","paper":{"title":"Energy and Quality of Surrogate-Assisted Search Algorithms: a First Analysis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Enrique Alba, Gabriel Luque, Tomohiro Harada","submitted_at":"2025-08-11T07:07:55Z","abstract_excerpt":"Solving complex real problems often demands advanced algorithms, and then continuous improvements in the internal operations of a search technique are needed. Hybrid algorithms, parallel techniques, theoretical advances, and much more are needed to transform a general search algorithm into an efficient, useful one in practice. In this paper, we study how surrogates are helping metaheuristics from an important and understudied point of view: their energy profile. Even if surrogates are a great idea for substituting a time-demanding complex fitness function, the energy profile, general efficienc"},"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":"2508.07691","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2025-08-11T07:07:55Z","cross_cats_sorted":[],"title_canon_sha256":"7f693ba3d830fe5befb678ef23e9a816a0591633b2460757c7a6381bfd1b91d9","abstract_canon_sha256":"5ccb14836f2986437801406de62aa4342d02e498beeb10bc2fac3fd87e17dd6d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:51:50.656525Z","signature_b64":"mNWCcobeEuzrdz3LNuhkDuJeWjzAAytsf97tUmFz1ug5w9U5Qs7rTl7ZoQ/b4/TFTliiga8pxAcaBL1LsX5aBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3825c8def0cf6921fccef2dafec23a11a066d98ae35127c1cd239357ed41ecae","last_reissued_at":"2026-07-05T11:51:50.656095Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:51:50.656095Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Energy and Quality of Surrogate-Assisted Search Algorithms: a First Analysis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Enrique Alba, Gabriel Luque, Tomohiro Harada","submitted_at":"2025-08-11T07:07:55Z","abstract_excerpt":"Solving complex real problems often demands advanced algorithms, and then continuous improvements in the internal operations of a search technique are needed. Hybrid algorithms, parallel techniques, theoretical advances, and much more are needed to transform a general search algorithm into an efficient, useful one in practice. In this paper, we study how surrogates are helping metaheuristics from an important and understudied point of view: their energy profile. Even if surrogates are a great idea for substituting a time-demanding complex fitness function, the energy profile, general efficienc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.07691","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/2508.07691/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2508.07691","created_at":"2026-07-05T11:51:50.656152+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.07691v1","created_at":"2026-07-05T11:51:50.656152+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.07691","created_at":"2026-07-05T11:51:50.656152+00:00"},{"alias_kind":"pith_short_12","alias_value":"HAS4RXXQZ5US","created_at":"2026-07-05T11:51:50.656152+00:00"},{"alias_kind":"pith_short_16","alias_value":"HAS4RXXQZ5USD7GO","created_at":"2026-07-05T11:51:50.656152+00:00"},{"alias_kind":"pith_short_8","alias_value":"HAS4RXXQ","created_at":"2026-07-05T11:51:50.656152+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/HAS4RXXQZ5USD7GO6LNP5QR2CG","json":"https://pith.science/pith/HAS4RXXQZ5USD7GO6LNP5QR2CG.json","graph_json":"https://pith.science/api/pith-number/HAS4RXXQZ5USD7GO6LNP5QR2CG/graph.json","events_json":"https://pith.science/api/pith-number/HAS4RXXQZ5USD7GO6LNP5QR2CG/events.json","paper":"https://pith.science/paper/HAS4RXXQ"},"agent_actions":{"view_html":"https://pith.science/pith/HAS4RXXQZ5USD7GO6LNP5QR2CG","download_json":"https://pith.science/pith/HAS4RXXQZ5USD7GO6LNP5QR2CG.json","view_paper":"https://pith.science/paper/HAS4RXXQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.07691&json=true","fetch_graph":"https://pith.science/api/pith-number/HAS4RXXQZ5USD7GO6LNP5QR2CG/graph.json","fetch_events":"https://pith.science/api/pith-number/HAS4RXXQZ5USD7GO6LNP5QR2CG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HAS4RXXQZ5USD7GO6LNP5QR2CG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HAS4RXXQZ5USD7GO6LNP5QR2CG/action/storage_attestation","attest_author":"https://pith.science/pith/HAS4RXXQZ5USD7GO6LNP5QR2CG/action/author_attestation","sign_citation":"https://pith.science/pith/HAS4RXXQZ5USD7GO6LNP5QR2CG/action/citation_signature","submit_replication":"https://pith.science/pith/HAS4RXXQZ5USD7GO6LNP5QR2CG/action/replication_record"}},"created_at":"2026-07-05T11:51:50.656152+00:00","updated_at":"2026-07-05T11:51:50.656152+00:00"}