{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ZCUMAV4C5RH5FC3SE7K74LT7DZ","short_pith_number":"pith:ZCUMAV4C","canonical_record":{"source":{"id":"2405.16494","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2024-05-26T09:12:44Z","cross_cats_sorted":[],"title_canon_sha256":"0aad68bd1b478a257e8167702bc2721636b89090edda2bebc8d97347a5e81edb","abstract_canon_sha256":"c8543159c57e39c0a311b6ca52c447c5e54e12e465ecdbea516332b258b0e96f"},"schema_version":"1.0"},"canonical_sha256":"c8a8c05782ec4fd28b7227d5fe2e7f1e747eddb84971a0c6ef0ed0867e432f27","source":{"kind":"arxiv","id":"2405.16494","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.16494","created_at":"2026-07-05T08:23:31Z"},{"alias_kind":"arxiv_version","alias_value":"2405.16494v1","created_at":"2026-07-05T08:23:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.16494","created_at":"2026-07-05T08:23:31Z"},{"alias_kind":"pith_short_12","alias_value":"ZCUMAV4C5RH5","created_at":"2026-07-05T08:23:31Z"},{"alias_kind":"pith_short_16","alias_value":"ZCUMAV4C5RH5FC3S","created_at":"2026-07-05T08:23:31Z"},{"alias_kind":"pith_short_8","alias_value":"ZCUMAV4C","created_at":"2026-07-05T08:23:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ZCUMAV4C5RH5FC3SE7K74LT7DZ","target":"record","payload":{"canonical_record":{"source":{"id":"2405.16494","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2024-05-26T09:12:44Z","cross_cats_sorted":[],"title_canon_sha256":"0aad68bd1b478a257e8167702bc2721636b89090edda2bebc8d97347a5e81edb","abstract_canon_sha256":"c8543159c57e39c0a311b6ca52c447c5e54e12e465ecdbea516332b258b0e96f"},"schema_version":"1.0"},"canonical_sha256":"c8a8c05782ec4fd28b7227d5fe2e7f1e747eddb84971a0c6ef0ed0867e432f27","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:23:31.358821Z","signature_b64":"eaFcveWOXrj/mnXtnxi7dR63E8u0RMuk7Ma1j8O1puyCHqMjWdQealbgbR+hSvy0AqoTCRStsDMdMjNaV3SsAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c8a8c05782ec4fd28b7227d5fe2e7f1e747eddb84971a0c6ef0ed0867e432f27","last_reissued_at":"2026-07-05T08:23:31.358362Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:23:31.358362Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.16494","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":"2026-07-05T08:23:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f4Di01emckCQH6z+OCHJFhallJSzKkdJFRjsDFjm2aqKI3jKpZugtHcJlIYQfAqfDmdDVE8C037u555KV+g2AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T11:38:59.369628Z"},"content_sha256":"35a5654f805796f623a4042b3b07226d5dba2e94aec8f914e6e0f97c0540d1e8","schema_version":"1.0","event_id":"sha256:35a5654f805796f623a4042b3b07226d5dba2e94aec8f914e6e0f97c0540d1e8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ZCUMAV4C5RH5FC3SE7K74LT7DZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Aimin Zhou, Bingdong Li, Hao Hao, Xiaoqun Zhang","submitted_at":"2024-05-26T09:12:44Z","abstract_excerpt":"Surrogate-assisted Evolutionary Algorithm (SAEA) is an essential method for solving expensive expensive problems. Utilizing surrogate models to substitute the optimization function can significantly reduce reliance on the function evaluations during the search process, thereby lowering the optimization costs. The construction of surrogate models is a critical component in SAEAs, with numerous machine learning algorithms playing a pivotal role in the model-building phase. This paper introduces Kolmogorov-Arnold Networks (KANs) as surrogate models within SAEAs, examining their application and ef"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.16494","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/2405.16494/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":"2026-07-05T08:23:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CiDwerwSMnkubt+VYQ16yD7M+UXXxCicR37F/oqdLss4wCvyuze6KiyYBsm8eJ85aClLg/8azQFatN2WnxRxAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T11:38:59.370138Z"},"content_sha256":"cfd94dbb5359cfde23c508d47521ffe98a5924294eead5227e4964cfb4b5e039","schema_version":"1.0","event_id":"sha256:cfd94dbb5359cfde23c508d47521ffe98a5924294eead5227e4964cfb4b5e039"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZCUMAV4C5RH5FC3SE7K74LT7DZ/bundle.json","state_url":"https://pith.science/pith/ZCUMAV4C5RH5FC3SE7K74LT7DZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZCUMAV4C5RH5FC3SE7K74LT7DZ/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":"2026-08-04T11:38:59Z","links":{"resolver":"https://pith.science/pith/ZCUMAV4C5RH5FC3SE7K74LT7DZ","bundle":"https://pith.science/pith/ZCUMAV4C5RH5FC3SE7K74LT7DZ/bundle.json","state":"https://pith.science/pith/ZCUMAV4C5RH5FC3SE7K74LT7DZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZCUMAV4C5RH5FC3SE7K74LT7DZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZCUMAV4C5RH5FC3SE7K74LT7DZ","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":"c8543159c57e39c0a311b6ca52c447c5e54e12e465ecdbea516332b258b0e96f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2024-05-26T09:12:44Z","title_canon_sha256":"0aad68bd1b478a257e8167702bc2721636b89090edda2bebc8d97347a5e81edb"},"schema_version":"1.0","source":{"id":"2405.16494","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.16494","created_at":"2026-07-05T08:23:31Z"},{"alias_kind":"arxiv_version","alias_value":"2405.16494v1","created_at":"2026-07-05T08:23:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.16494","created_at":"2026-07-05T08:23:31Z"},{"alias_kind":"pith_short_12","alias_value":"ZCUMAV4C5RH5","created_at":"2026-07-05T08:23:31Z"},{"alias_kind":"pith_short_16","alias_value":"ZCUMAV4C5RH5FC3S","created_at":"2026-07-05T08:23:31Z"},{"alias_kind":"pith_short_8","alias_value":"ZCUMAV4C","created_at":"2026-07-05T08:23:31Z"}],"graph_snapshots":[{"event_id":"sha256:cfd94dbb5359cfde23c508d47521ffe98a5924294eead5227e4964cfb4b5e039","target":"graph","created_at":"2026-07-05T08:23:31Z","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/2405.16494/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Surrogate-assisted Evolutionary Algorithm (SAEA) is an essential method for solving expensive expensive problems. Utilizing surrogate models to substitute the optimization function can significantly reduce reliance on the function evaluations during the search process, thereby lowering the optimization costs. The construction of surrogate models is a critical component in SAEAs, with numerous machine learning algorithms playing a pivotal role in the model-building phase. This paper introduces Kolmogorov-Arnold Networks (KANs) as surrogate models within SAEAs, examining their application and ef","authors_text":"Aimin Zhou, Bingdong Li, Hao Hao, Xiaoqun Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2024-05-26T09:12:44Z","title":"A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.16494","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":"sha256:35a5654f805796f623a4042b3b07226d5dba2e94aec8f914e6e0f97c0540d1e8","target":"record","created_at":"2026-07-05T08:23:31Z","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":"c8543159c57e39c0a311b6ca52c447c5e54e12e465ecdbea516332b258b0e96f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2024-05-26T09:12:44Z","title_canon_sha256":"0aad68bd1b478a257e8167702bc2721636b89090edda2bebc8d97347a5e81edb"},"schema_version":"1.0","source":{"id":"2405.16494","kind":"arxiv","version":1}},"canonical_sha256":"c8a8c05782ec4fd28b7227d5fe2e7f1e747eddb84971a0c6ef0ed0867e432f27","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c8a8c05782ec4fd28b7227d5fe2e7f1e747eddb84971a0c6ef0ed0867e432f27","first_computed_at":"2026-07-05T08:23:31.358362Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:23:31.358362Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eaFcveWOXrj/mnXtnxi7dR63E8u0RMuk7Ma1j8O1puyCHqMjWdQealbgbR+hSvy0AqoTCRStsDMdMjNaV3SsAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:23:31.358821Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.16494","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:35a5654f805796f623a4042b3b07226d5dba2e94aec8f914e6e0f97c0540d1e8","sha256:cfd94dbb5359cfde23c508d47521ffe98a5924294eead5227e4964cfb4b5e039"],"state_sha256":"849b46da61def7e89b93d1456ca08a9b850d0a42d6cfb9d9c65962fb193192eb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cOv9bAwIYYzrDIY0d2BgEpReS57D4jw7KcEy9WxPQitizs+6fO7ewEEeBtlZx31H3YJnqO+4Bow0sFdnQy9xBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T11:38:59.375807Z","bundle_sha256":"1d1b7591f7618588b40a1ba07dfb7a252bfebcb31ba32a779b98a5d7c68d3354"}}