{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:PADLXGGCB57LH3WY3OXFCW7IHW","short_pith_number":"pith:PADLXGGC","canonical_record":{"source":{"id":"2001.07553","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2020-01-21T14:10:37Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"3e166c2083239ef6a7a4dee2a4f1a4a67874a2c947f56df744b97b616c9128cd","abstract_canon_sha256":"34ac5beb8e1bf0c9248a58e0a8cef8a547b73de9c0ef17729950ff8f7845f80b"},"schema_version":"1.0"},"canonical_sha256":"7806bb98c20f7eb3eed8dbae515be83d800532c36c3ccaaeddebd44d374ea917","source":{"kind":"arxiv","id":"2001.07553","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.07553","created_at":"2026-07-05T00:34:56Z"},{"alias_kind":"arxiv_version","alias_value":"2001.07553v1","created_at":"2026-07-05T00:34:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.07553","created_at":"2026-07-05T00:34:56Z"},{"alias_kind":"pith_short_12","alias_value":"PADLXGGCB57L","created_at":"2026-07-05T00:34:56Z"},{"alias_kind":"pith_short_16","alias_value":"PADLXGGCB57LH3WY","created_at":"2026-07-05T00:34:56Z"},{"alias_kind":"pith_short_8","alias_value":"PADLXGGC","created_at":"2026-07-05T00:34:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:PADLXGGCB57LH3WY3OXFCW7IHW","target":"record","payload":{"canonical_record":{"source":{"id":"2001.07553","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2020-01-21T14:10:37Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"3e166c2083239ef6a7a4dee2a4f1a4a67874a2c947f56df744b97b616c9128cd","abstract_canon_sha256":"34ac5beb8e1bf0c9248a58e0a8cef8a547b73de9c0ef17729950ff8f7845f80b"},"schema_version":"1.0"},"canonical_sha256":"7806bb98c20f7eb3eed8dbae515be83d800532c36c3ccaaeddebd44d374ea917","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:34:56.509833Z","signature_b64":"IkQgqnojNT6t1+pBxIigSxlZRVMkF78YSMSFBCqcfeXTgxmXWB2oWAwedmJ1Z3NYM/Ud/fX67pOhwznGeoJ+Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7806bb98c20f7eb3eed8dbae515be83d800532c36c3ccaaeddebd44d374ea917","last_reissued_at":"2026-07-05T00:34:56.509488Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:34:56.509488Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2001.07553","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":"2026-07-05T00:34:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0IIIV7orEWEpAWEfSN7JlXq8Kii0XfwIcb2zOiuQYlAiNzFIg+ym1QfwoxMoI83dmI3Yqc+zdef5s66o8ZtAAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T16:12:13.283963Z"},"content_sha256":"dad81ce2fbe739b1097e0dd970a907c273581a7438477fce80f0a24979938c53","schema_version":"1.0","event_id":"sha256:dad81ce2fbe739b1097e0dd970a907c273581a7438477fce80f0a24979938c53"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:PADLXGGCB57LH3WY3OXFCW7IHW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Ensemble Genetic Programming","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.NE","authors_text":"Jo\\~ao E. Batista, Nuno M. Rodrigues, Sara Silva","submitted_at":"2020-01-21T14:10:37Z","abstract_excerpt":"Ensemble learning is a powerful paradigm that has been usedin the top state-of-the-art machine learning methods like Random Forestsand XGBoost. Inspired by the success of such methods, we have devel-oped a new Genetic Programming method called Ensemble GP. The evo-lutionary cycle of Ensemble GP follows the same steps as other GeneticProgramming systems, but with differences in the population structure,fitness evaluation and genetic operators. We have tested this method oneight binary classification problems, achieving results significantly betterthan standard GP, with much smaller models. Alth"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.07553","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/2001.07553/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":"2026-07-05T00:34:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7bs+Oww7U9PkbpXGe8Simm4S6CrQEunAXquMc5M1+47a+X1IStJsLR5lRnVJB74WtXsieOrDg+ykxikWKDNgBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T16:12:13.284605Z"},"content_sha256":"a460fa150d4740c73951369badea1a122fac85a31781d7be0850e7fbd070c55c","schema_version":"1.0","event_id":"sha256:a460fa150d4740c73951369badea1a122fac85a31781d7be0850e7fbd070c55c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PADLXGGCB57LH3WY3OXFCW7IHW/bundle.json","state_url":"https://pith.science/pith/PADLXGGCB57LH3WY3OXFCW7IHW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PADLXGGCB57LH3WY3OXFCW7IHW/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":"2026-08-13T16:12:13Z","links":{"resolver":"https://pith.science/pith/PADLXGGCB57LH3WY3OXFCW7IHW","bundle":"https://pith.science/pith/PADLXGGCB57LH3WY3OXFCW7IHW/bundle.json","state":"https://pith.science/pith/PADLXGGCB57LH3WY3OXFCW7IHW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PADLXGGCB57LH3WY3OXFCW7IHW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:PADLXGGCB57LH3WY3OXFCW7IHW","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":"34ac5beb8e1bf0c9248a58e0a8cef8a547b73de9c0ef17729950ff8f7845f80b","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2020-01-21T14:10:37Z","title_canon_sha256":"3e166c2083239ef6a7a4dee2a4f1a4a67874a2c947f56df744b97b616c9128cd"},"schema_version":"1.0","source":{"id":"2001.07553","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.07553","created_at":"2026-07-05T00:34:56Z"},{"alias_kind":"arxiv_version","alias_value":"2001.07553v1","created_at":"2026-07-05T00:34:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.07553","created_at":"2026-07-05T00:34:56Z"},{"alias_kind":"pith_short_12","alias_value":"PADLXGGCB57L","created_at":"2026-07-05T00:34:56Z"},{"alias_kind":"pith_short_16","alias_value":"PADLXGGCB57LH3WY","created_at":"2026-07-05T00:34:56Z"},{"alias_kind":"pith_short_8","alias_value":"PADLXGGC","created_at":"2026-07-05T00:34:56Z"}],"graph_snapshots":[{"event_id":"sha256:a460fa150d4740c73951369badea1a122fac85a31781d7be0850e7fbd070c55c","target":"graph","created_at":"2026-07-05T00:34:56Z","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/2001.07553/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Ensemble learning is a powerful paradigm that has been usedin the top state-of-the-art machine learning methods like Random Forestsand XGBoost. Inspired by the success of such methods, we have devel-oped a new Genetic Programming method called Ensemble GP. The evo-lutionary cycle of Ensemble GP follows the same steps as other GeneticProgramming systems, but with differences in the population structure,fitness evaluation and genetic operators. We have tested this method oneight binary classification problems, achieving results significantly betterthan standard GP, with much smaller models. Alth","authors_text":"Jo\\~ao E. Batista, Nuno M. Rodrigues, Sara Silva","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2020-01-21T14:10:37Z","title":"Ensemble Genetic Programming"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.07553","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:dad81ce2fbe739b1097e0dd970a907c273581a7438477fce80f0a24979938c53","target":"record","created_at":"2026-07-05T00:34:56Z","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":"34ac5beb8e1bf0c9248a58e0a8cef8a547b73de9c0ef17729950ff8f7845f80b","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2020-01-21T14:10:37Z","title_canon_sha256":"3e166c2083239ef6a7a4dee2a4f1a4a67874a2c947f56df744b97b616c9128cd"},"schema_version":"1.0","source":{"id":"2001.07553","kind":"arxiv","version":1}},"canonical_sha256":"7806bb98c20f7eb3eed8dbae515be83d800532c36c3ccaaeddebd44d374ea917","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7806bb98c20f7eb3eed8dbae515be83d800532c36c3ccaaeddebd44d374ea917","first_computed_at":"2026-07-05T00:34:56.509488Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:34:56.509488Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IkQgqnojNT6t1+pBxIigSxlZRVMkF78YSMSFBCqcfeXTgxmXWB2oWAwedmJ1Z3NYM/Ud/fX67pOhwznGeoJ+Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:34:56.509833Z","signed_message":"canonical_sha256_bytes"},"source_id":"2001.07553","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dad81ce2fbe739b1097e0dd970a907c273581a7438477fce80f0a24979938c53","sha256:a460fa150d4740c73951369badea1a122fac85a31781d7be0850e7fbd070c55c"],"state_sha256":"c982c006ad1b131cc23f62dfc0f4609c166e2c7eed4e5aac2d043e381adc716d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7hCDG81D8CZlpcI3eu/skLtGeo0vxXnQi2FKgycTdPDXrhkxXU2Qh/YqN+aWE3UvVJlh66Q0232XmCTqSyy2DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T16:12:13.376081Z","bundle_sha256":"fbfdafc93f488c65beaf61f30c55ec9428db3f3afc9f444b97f7707b56fed98e"}}