{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:PTF7G6TJEQ6KKMIV2U65BQX7XQ","short_pith_number":"pith:PTF7G6TJ","canonical_record":{"source":{"id":"2407.00001","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.DC","submitted_at":"2024-03-14T18:37:31Z","cross_cats_sorted":["cs.AR"],"title_canon_sha256":"6b601c842d4e0e167484bdfbf3665078c93c76d85da0e6164ad69e6de361d94f","abstract_canon_sha256":"4206ab3343869aa014a8f1d9d6525b8836c171c428f790ad4aa0d44f5145cc10"},"schema_version":"1.0"},"canonical_sha256":"7ccbf37a69243ca53115d53dd0c2ffbc044f2a9f4c1842889c4e03031002226b","source":{"kind":"arxiv","id":"2407.00001","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.00001","created_at":"2026-07-05T08:38:12Z"},{"alias_kind":"arxiv_version","alias_value":"2407.00001v1","created_at":"2026-07-05T08:38:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.00001","created_at":"2026-07-05T08:38:12Z"},{"alias_kind":"pith_short_12","alias_value":"PTF7G6TJEQ6K","created_at":"2026-07-05T08:38:12Z"},{"alias_kind":"pith_short_16","alias_value":"PTF7G6TJEQ6KKMIV","created_at":"2026-07-05T08:38:12Z"},{"alias_kind":"pith_short_8","alias_value":"PTF7G6TJ","created_at":"2026-07-05T08:38:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:PTF7G6TJEQ6KKMIV2U65BQX7XQ","target":"record","payload":{"canonical_record":{"source":{"id":"2407.00001","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.DC","submitted_at":"2024-03-14T18:37:31Z","cross_cats_sorted":["cs.AR"],"title_canon_sha256":"6b601c842d4e0e167484bdfbf3665078c93c76d85da0e6164ad69e6de361d94f","abstract_canon_sha256":"4206ab3343869aa014a8f1d9d6525b8836c171c428f790ad4aa0d44f5145cc10"},"schema_version":"1.0"},"canonical_sha256":"7ccbf37a69243ca53115d53dd0c2ffbc044f2a9f4c1842889c4e03031002226b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:38:12.856466Z","signature_b64":"C4WA0qwdb01CQJvXLzK80NOrRE2OY3hzCbCsEeXytmxtdrvd3dqPRkl4c5O+FqKswqtMUevmwJbhryWxTAGNBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7ccbf37a69243ca53115d53dd0c2ffbc044f2a9f4c1842889c4e03031002226b","last_reissued_at":"2026-07-05T08:38:12.855889Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:38:12.855889Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.00001","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":"2026-07-05T08:38:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i+1Oh8sRFnSZGiGOwMgI4t+U8oV59nC+p1+XNv2x8LvTdA2ZLydz933rmWAyVVpY0zYWDBH1Epf1NOEBEqBXDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T12:11:26.946440Z"},"content_sha256":"c95be40e27dd8e70166f1fdd200a91a29d8843e86b16039ef160bf3e3610a10f","schema_version":"1.0","event_id":"sha256:c95be40e27dd8e70166f1fdd200a91a29d8843e86b16039ef160bf3e3610a10f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:PTF7G6TJEQ6KKMIV2U65BQX7XQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AR"],"primary_cat":"cs.DC","authors_text":"Jos\\'e L. Ayala, Jos\\'e L. Risco-Mart\\'in, Jos\\'e M. Moya, Marina Zapater, Patricia Arroba","submitted_at":"2024-03-14T18:37:31Z","abstract_excerpt":"This work proposes an automatic methodology for modeling complex systems. Our methodology is based on the combination of Grammatical Evolution and classical regression to obtain an optimal set of features that take part of a linear and convex model. This technique provides both Feature Engineering and Symbolic Regression in order to infer accurate models with no effort or designer's expertise requirements. As advanced Cloud services are becoming mainstream, the contribution of data centers in the overall power consumption of modern cities is growing dramatically. These facilities consume from "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.00001","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/2407.00001/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":"2026-07-05T08:38:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Sy3Xl0kbFIRBDXpQx7gs3R8KGOp336v+2b4VIaY5nr5RBgaJ5cZ9QWOpBTdWAsGz9MHlepnvGWXcVlq04wqKBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T12:11:26.946959Z"},"content_sha256":"a3e7478e733de718033c11cbf8174066f7d26e40582128ebc3d8511aa2985a2e","schema_version":"1.0","event_id":"sha256:a3e7478e733de718033c11cbf8174066f7d26e40582128ebc3d8511aa2985a2e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PTF7G6TJEQ6KKMIV2U65BQX7XQ/bundle.json","state_url":"https://pith.science/pith/PTF7G6TJEQ6KKMIV2U65BQX7XQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PTF7G6TJEQ6KKMIV2U65BQX7XQ/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":"2026-08-20T12:11:26Z","links":{"resolver":"https://pith.science/pith/PTF7G6TJEQ6KKMIV2U65BQX7XQ","bundle":"https://pith.science/pith/PTF7G6TJEQ6KKMIV2U65BQX7XQ/bundle.json","state":"https://pith.science/pith/PTF7G6TJEQ6KKMIV2U65BQX7XQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PTF7G6TJEQ6KKMIV2U65BQX7XQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PTF7G6TJEQ6KKMIV2U65BQX7XQ","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":"4206ab3343869aa014a8f1d9d6525b8836c171c428f790ad4aa0d44f5145cc10","cross_cats_sorted":["cs.AR"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.DC","submitted_at":"2024-03-14T18:37:31Z","title_canon_sha256":"6b601c842d4e0e167484bdfbf3665078c93c76d85da0e6164ad69e6de361d94f"},"schema_version":"1.0","source":{"id":"2407.00001","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.00001","created_at":"2026-07-05T08:38:12Z"},{"alias_kind":"arxiv_version","alias_value":"2407.00001v1","created_at":"2026-07-05T08:38:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.00001","created_at":"2026-07-05T08:38:12Z"},{"alias_kind":"pith_short_12","alias_value":"PTF7G6TJEQ6K","created_at":"2026-07-05T08:38:12Z"},{"alias_kind":"pith_short_16","alias_value":"PTF7G6TJEQ6KKMIV","created_at":"2026-07-05T08:38:12Z"},{"alias_kind":"pith_short_8","alias_value":"PTF7G6TJ","created_at":"2026-07-05T08:38:12Z"}],"graph_snapshots":[{"event_id":"sha256:a3e7478e733de718033c11cbf8174066f7d26e40582128ebc3d8511aa2985a2e","target":"graph","created_at":"2026-07-05T08:38:12Z","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/2407.00001/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This work proposes an automatic methodology for modeling complex systems. Our methodology is based on the combination of Grammatical Evolution and classical regression to obtain an optimal set of features that take part of a linear and convex model. This technique provides both Feature Engineering and Symbolic Regression in order to infer accurate models with no effort or designer's expertise requirements. As advanced Cloud services are becoming mainstream, the contribution of data centers in the overall power consumption of modern cities is growing dramatically. These facilities consume from ","authors_text":"Jos\\'e L. Ayala, Jos\\'e L. Risco-Mart\\'in, Jos\\'e M. Moya, Marina Zapater, Patricia Arroba","cross_cats":["cs.AR"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.DC","submitted_at":"2024-03-14T18:37:31Z","title":"Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.00001","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:c95be40e27dd8e70166f1fdd200a91a29d8843e86b16039ef160bf3e3610a10f","target":"record","created_at":"2026-07-05T08:38:12Z","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":"4206ab3343869aa014a8f1d9d6525b8836c171c428f790ad4aa0d44f5145cc10","cross_cats_sorted":["cs.AR"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.DC","submitted_at":"2024-03-14T18:37:31Z","title_canon_sha256":"6b601c842d4e0e167484bdfbf3665078c93c76d85da0e6164ad69e6de361d94f"},"schema_version":"1.0","source":{"id":"2407.00001","kind":"arxiv","version":1}},"canonical_sha256":"7ccbf37a69243ca53115d53dd0c2ffbc044f2a9f4c1842889c4e03031002226b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7ccbf37a69243ca53115d53dd0c2ffbc044f2a9f4c1842889c4e03031002226b","first_computed_at":"2026-07-05T08:38:12.855889Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:38:12.855889Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"C4WA0qwdb01CQJvXLzK80NOrRE2OY3hzCbCsEeXytmxtdrvd3dqPRkl4c5O+FqKswqtMUevmwJbhryWxTAGNBA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:38:12.856466Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.00001","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c95be40e27dd8e70166f1fdd200a91a29d8843e86b16039ef160bf3e3610a10f","sha256:a3e7478e733de718033c11cbf8174066f7d26e40582128ebc3d8511aa2985a2e"],"state_sha256":"33bcdc4c225e9f9bd8872115008b1e92f484c4b90a4277d0049f27078e3573d8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lDUzHD9emR643LtDPejaE/6lDTjj+6K+/Jm0ZxQaXCvyxku5HNdHoQXwWSxXop+3F4joom9K4FENR/WIcR9pCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T12:11:26.950917Z","bundle_sha256":"934b910a55cffe4387377aed02e6ba48497447f5e76a51ceed956139ce531166"}}