{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:2UKUYRE4RY6R5KEE6LGBOIBP3M","short_pith_number":"pith:2UKUYRE4","canonical_record":{"source":{"id":"2305.03612","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2023-05-05T15:17:03Z","cross_cats_sorted":[],"title_canon_sha256":"48f97ad34cb1bd9c6265770999893189e4ab5be2d0d2132c643e33451dc57cc9","abstract_canon_sha256":"31b7046945893944b2b4a58abf57b2298f9bac0a75ba45d086d132c13bdcb399"},"schema_version":"1.0"},"canonical_sha256":"d5154c449c8e3d1ea884f2cc17202fdb04bf59c3748fe04ffc02f374f772f113","source":{"kind":"arxiv","id":"2305.03612","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.03612","created_at":"2026-07-05T06:37:59Z"},{"alias_kind":"arxiv_version","alias_value":"2305.03612v4","created_at":"2026-07-05T06:37:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.03612","created_at":"2026-07-05T06:37:59Z"},{"alias_kind":"pith_short_12","alias_value":"2UKUYRE4RY6R","created_at":"2026-07-05T06:37:59Z"},{"alias_kind":"pith_short_16","alias_value":"2UKUYRE4RY6R5KEE","created_at":"2026-07-05T06:37:59Z"},{"alias_kind":"pith_short_8","alias_value":"2UKUYRE4","created_at":"2026-07-05T06:37:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:2UKUYRE4RY6R5KEE6LGBOIBP3M","target":"record","payload":{"canonical_record":{"source":{"id":"2305.03612","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2023-05-05T15:17:03Z","cross_cats_sorted":[],"title_canon_sha256":"48f97ad34cb1bd9c6265770999893189e4ab5be2d0d2132c643e33451dc57cc9","abstract_canon_sha256":"31b7046945893944b2b4a58abf57b2298f9bac0a75ba45d086d132c13bdcb399"},"schema_version":"1.0"},"canonical_sha256":"d5154c449c8e3d1ea884f2cc17202fdb04bf59c3748fe04ffc02f374f772f113","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:37:59.201587Z","signature_b64":"kSMVuN2D+NUrUpVgOjm3UMvmPrutn9TNktL7blUEDM61eateawLZqxM35Nax30wyYaU1MScayvambNmweeegCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d5154c449c8e3d1ea884f2cc17202fdb04bf59c3748fe04ffc02f374f772f113","last_reissued_at":"2026-07-05T06:37:59.199235Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:37:59.199235Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.03612","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:37:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YDZMBbUu/0jyAMnd2Wg7ZaX7amDEjg5OP0Sl2sT2gOcaVqyb2xzH4mAGeiqu4CBfgfakA23B0G7sWKe/2nSCDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:39:46.320444Z"},"content_sha256":"5bd4685d8a8d8519a3d5b52343d60f239400a54669d6a643e0ce485e73cdc4f0","schema_version":"1.0","event_id":"sha256:5bd4685d8a8d8519a3d5b52343d60f239400a54669d6a643e0ce485e73cdc4f0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:2UKUYRE4RY6R5KEE6LGBOIBP3M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Initial Steps Towards Tackling High-dimensional Surrogate Modeling for Neuroevolution Using Kriging Partial Least Squares","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Edgar Galv\\'an, Fergal Stapleton","submitted_at":"2023-05-05T15:17:03Z","abstract_excerpt":"Surrogate-assisted evolutionary algorithms (SAEAs) aim to use efficient computational models with the goal of approximating the fitness function in evolutionary computation systems. This area of research has been active for over two decades and has received significant attention from the specialised research community in different areas, for example, single and many objective optimisation or dynamic and stationary optimisation problems. An emergent and exciting area that has received little attention from the SAEAs community is in neuroevolution. This refers to the use of evolutionary algorith"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.03612","kind":"arxiv","version":4},"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/2305.03612/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":"2026-07-05T06:37:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y95j0JSRgobPHyUT17ivVQ8CqqNJuq8lKnaacqAsBj9m8lT4xBxyDikv7oZOeK0Fi7l/BkZOkLdC05US//XgBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:39:46.320951Z"},"content_sha256":"c8be75cdd58f0be3778f7ce7f100413cf72f65b39bb4bde18533e4c62c708485","schema_version":"1.0","event_id":"sha256:c8be75cdd58f0be3778f7ce7f100413cf72f65b39bb4bde18533e4c62c708485"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2UKUYRE4RY6R5KEE6LGBOIBP3M/bundle.json","state_url":"https://pith.science/pith/2UKUYRE4RY6R5KEE6LGBOIBP3M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2UKUYRE4RY6R5KEE6LGBOIBP3M/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":"2026-08-07T06:39:46Z","links":{"resolver":"https://pith.science/pith/2UKUYRE4RY6R5KEE6LGBOIBP3M","bundle":"https://pith.science/pith/2UKUYRE4RY6R5KEE6LGBOIBP3M/bundle.json","state":"https://pith.science/pith/2UKUYRE4RY6R5KEE6LGBOIBP3M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2UKUYRE4RY6R5KEE6LGBOIBP3M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:2UKUYRE4RY6R5KEE6LGBOIBP3M","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":"31b7046945893944b2b4a58abf57b2298f9bac0a75ba45d086d132c13bdcb399","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2023-05-05T15:17:03Z","title_canon_sha256":"48f97ad34cb1bd9c6265770999893189e4ab5be2d0d2132c643e33451dc57cc9"},"schema_version":"1.0","source":{"id":"2305.03612","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.03612","created_at":"2026-07-05T06:37:59Z"},{"alias_kind":"arxiv_version","alias_value":"2305.03612v4","created_at":"2026-07-05T06:37:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.03612","created_at":"2026-07-05T06:37:59Z"},{"alias_kind":"pith_short_12","alias_value":"2UKUYRE4RY6R","created_at":"2026-07-05T06:37:59Z"},{"alias_kind":"pith_short_16","alias_value":"2UKUYRE4RY6R5KEE","created_at":"2026-07-05T06:37:59Z"},{"alias_kind":"pith_short_8","alias_value":"2UKUYRE4","created_at":"2026-07-05T06:37:59Z"}],"graph_snapshots":[{"event_id":"sha256:c8be75cdd58f0be3778f7ce7f100413cf72f65b39bb4bde18533e4c62c708485","target":"graph","created_at":"2026-07-05T06:37:59Z","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/2305.03612/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Surrogate-assisted evolutionary algorithms (SAEAs) aim to use efficient computational models with the goal of approximating the fitness function in evolutionary computation systems. This area of research has been active for over two decades and has received significant attention from the specialised research community in different areas, for example, single and many objective optimisation or dynamic and stationary optimisation problems. An emergent and exciting area that has received little attention from the SAEAs community is in neuroevolution. This refers to the use of evolutionary algorith","authors_text":"Edgar Galv\\'an, Fergal Stapleton","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2023-05-05T15:17:03Z","title":"Initial Steps Towards Tackling High-dimensional Surrogate Modeling for Neuroevolution Using Kriging Partial Least Squares"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.03612","kind":"arxiv","version":4},"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":"sha256:5bd4685d8a8d8519a3d5b52343d60f239400a54669d6a643e0ce485e73cdc4f0","target":"record","created_at":"2026-07-05T06:37:59Z","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":"31b7046945893944b2b4a58abf57b2298f9bac0a75ba45d086d132c13bdcb399","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2023-05-05T15:17:03Z","title_canon_sha256":"48f97ad34cb1bd9c6265770999893189e4ab5be2d0d2132c643e33451dc57cc9"},"schema_version":"1.0","source":{"id":"2305.03612","kind":"arxiv","version":4}},"canonical_sha256":"d5154c449c8e3d1ea884f2cc17202fdb04bf59c3748fe04ffc02f374f772f113","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d5154c449c8e3d1ea884f2cc17202fdb04bf59c3748fe04ffc02f374f772f113","first_computed_at":"2026-07-05T06:37:59.199235Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:37:59.199235Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kSMVuN2D+NUrUpVgOjm3UMvmPrutn9TNktL7blUEDM61eateawLZqxM35Nax30wyYaU1MScayvambNmweeegCw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:37:59.201587Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.03612","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5bd4685d8a8d8519a3d5b52343d60f239400a54669d6a643e0ce485e73cdc4f0","sha256:c8be75cdd58f0be3778f7ce7f100413cf72f65b39bb4bde18533e4c62c708485"],"state_sha256":"5132a04697c0c4983b504c94516d096e326ad9f66455f4d6802fa1d929549b59"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"he1HONdRqkOX4SdaLGvcgU2Xeh/dl40h/Ny/Ectwgk/UyKUPIZehDvZiFsl3E6FkZmRTytRVQfOFobaHDTULDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T06:39:46.325076Z","bundle_sha256":"dc8d8f069eced32c93001f56ccbd8f7a8715436119007585778af2d6b73cce81"}}