{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:FNY32S2UF2WWXD6RZE4XC2OCON","short_pith_number":"pith:FNY32S2U","canonical_record":{"source":{"id":"1803.00684","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-03-02T02:02:38Z","cross_cats_sorted":["cs.NE","stat.ML"],"title_canon_sha256":"bbcf5caf53537b358606d2625369b97504f605c3889036857350b2bd914aec9f","abstract_canon_sha256":"ba227b491b48d723b94bb790a5e5332a50396eeb3676bd547050d90054506052"},"schema_version":"1.0"},"canonical_sha256":"2b71bd4b542ead6b8fd1c9397169c273700e9555ab0022f94aa1a90722da6be2","source":{"kind":"arxiv","id":"1803.00684","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.00684","created_at":"2026-05-18T00:22:08Z"},{"alias_kind":"arxiv_version","alias_value":"1803.00684v1","created_at":"2026-05-18T00:22:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.00684","created_at":"2026-05-18T00:22:08Z"},{"alias_kind":"pith_short_12","alias_value":"FNY32S2UF2WW","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_16","alias_value":"FNY32S2UF2WWXD6R","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_8","alias_value":"FNY32S2U","created_at":"2026-05-18T12:32:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:FNY32S2UF2WWXD6RZE4XC2OCON","target":"record","payload":{"canonical_record":{"source":{"id":"1803.00684","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-03-02T02:02:38Z","cross_cats_sorted":["cs.NE","stat.ML"],"title_canon_sha256":"bbcf5caf53537b358606d2625369b97504f605c3889036857350b2bd914aec9f","abstract_canon_sha256":"ba227b491b48d723b94bb790a5e5332a50396eeb3676bd547050d90054506052"},"schema_version":"1.0"},"canonical_sha256":"2b71bd4b542ead6b8fd1c9397169c273700e9555ab0022f94aa1a90722da6be2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:22:08.170740Z","signature_b64":"QQBHHJLXVD0fPJCkO/lGIxkpe6bdPJ6GCDeMWcwogSocFq9wGhGB+omsNqqW9eYAxF35xahWIHM3rOkvUCQxDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2b71bd4b542ead6b8fd1c9397169c273700e9555ab0022f94aa1a90722da6be2","last_reissued_at":"2026-05-18T00:22:08.170047Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:22:08.170047Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1803.00684","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":"2026-05-18T00:22:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7EAudsaW8xfOdI/M4h6ZpKohtJSvPg0m/LN38AtN4A1kEyL/LKGjkjMPpNZKEn0SBIAcsy33ELSqtKhDNOLKBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T11:50:59.436815Z"},"content_sha256":"e338919f4cd9787a774124a7a1e7c17997cf3621de7420cf34abf58262d544f5","schema_version":"1.0","event_id":"sha256:e338919f4cd9787a774124a7a1e7c17997cf3621de7420cf34abf58262d544f5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:FNY32S2UF2WWXD6RZE4XC2OCON","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Autostacker: A Compositional Evolutionary Learning System","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NE","stat.ML"],"primary_cat":"cs.LG","authors_text":"Boyuan Chen, Harvey Wu, Hod Lipson, Ishanu Chattopadhyay, Warren Mo","submitted_at":"2018-03-02T02:02:38Z","abstract_excerpt":"We introduce an automatic machine learning (AutoML) modeling architecture called Autostacker, which combines an innovative hierarchical stacking architecture and an Evolutionary Algorithm (EA) to perform efficient parameter search. Neither prior domain knowledge about the data nor feature preprocessing is needed. Using EA, Autostacker quickly evolves candidate pipelines with high predictive accuracy. These pipelines can be used as is or as a starting point for human experts to build on. Autostacker finds innovative combinations and structures of machine learning models, rather than selecting a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.00684","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":""},"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":"2026-05-18T00:22:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SuvWYjJRH+qDL99AoDKSG1ZcvlAxoqZMwSwAdnpRH5Yk/7T4EAJJnEWj1g8/V+7OJrJv3JR37v277ELLUEPQAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T11:50:59.437160Z"},"content_sha256":"06ffee73e363b0468c16f66ba025d505b72c86ff87858fb1f5ba5ed4759c6b8b","schema_version":"1.0","event_id":"sha256:06ffee73e363b0468c16f66ba025d505b72c86ff87858fb1f5ba5ed4759c6b8b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FNY32S2UF2WWXD6RZE4XC2OCON/bundle.json","state_url":"https://pith.science/pith/FNY32S2UF2WWXD6RZE4XC2OCON/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FNY32S2UF2WWXD6RZE4XC2OCON/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":"2026-06-11T11:50:59Z","links":{"resolver":"https://pith.science/pith/FNY32S2UF2WWXD6RZE4XC2OCON","bundle":"https://pith.science/pith/FNY32S2UF2WWXD6RZE4XC2OCON/bundle.json","state":"https://pith.science/pith/FNY32S2UF2WWXD6RZE4XC2OCON/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FNY32S2UF2WWXD6RZE4XC2OCON/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:FNY32S2UF2WWXD6RZE4XC2OCON","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":"ba227b491b48d723b94bb790a5e5332a50396eeb3676bd547050d90054506052","cross_cats_sorted":["cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-03-02T02:02:38Z","title_canon_sha256":"bbcf5caf53537b358606d2625369b97504f605c3889036857350b2bd914aec9f"},"schema_version":"1.0","source":{"id":"1803.00684","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.00684","created_at":"2026-05-18T00:22:08Z"},{"alias_kind":"arxiv_version","alias_value":"1803.00684v1","created_at":"2026-05-18T00:22:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.00684","created_at":"2026-05-18T00:22:08Z"},{"alias_kind":"pith_short_12","alias_value":"FNY32S2UF2WW","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_16","alias_value":"FNY32S2UF2WWXD6R","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_8","alias_value":"FNY32S2U","created_at":"2026-05-18T12:32:25Z"}],"graph_snapshots":[{"event_id":"sha256:06ffee73e363b0468c16f66ba025d505b72c86ff87858fb1f5ba5ed4759c6b8b","target":"graph","created_at":"2026-05-18T00:22:08Z","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"},"paper":{"abstract_excerpt":"We introduce an automatic machine learning (AutoML) modeling architecture called Autostacker, which combines an innovative hierarchical stacking architecture and an Evolutionary Algorithm (EA) to perform efficient parameter search. Neither prior domain knowledge about the data nor feature preprocessing is needed. Using EA, Autostacker quickly evolves candidate pipelines with high predictive accuracy. These pipelines can be used as is or as a starting point for human experts to build on. Autostacker finds innovative combinations and structures of machine learning models, rather than selecting a","authors_text":"Boyuan Chen, Harvey Wu, Hod Lipson, Ishanu Chattopadhyay, Warren Mo","cross_cats":["cs.NE","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-03-02T02:02:38Z","title":"Autostacker: A Compositional Evolutionary Learning System"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.00684","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:e338919f4cd9787a774124a7a1e7c17997cf3621de7420cf34abf58262d544f5","target":"record","created_at":"2026-05-18T00:22:08Z","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":"ba227b491b48d723b94bb790a5e5332a50396eeb3676bd547050d90054506052","cross_cats_sorted":["cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-03-02T02:02:38Z","title_canon_sha256":"bbcf5caf53537b358606d2625369b97504f605c3889036857350b2bd914aec9f"},"schema_version":"1.0","source":{"id":"1803.00684","kind":"arxiv","version":1}},"canonical_sha256":"2b71bd4b542ead6b8fd1c9397169c273700e9555ab0022f94aa1a90722da6be2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2b71bd4b542ead6b8fd1c9397169c273700e9555ab0022f94aa1a90722da6be2","first_computed_at":"2026-05-18T00:22:08.170047Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:22:08.170047Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QQBHHJLXVD0fPJCkO/lGIxkpe6bdPJ6GCDeMWcwogSocFq9wGhGB+omsNqqW9eYAxF35xahWIHM3rOkvUCQxDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:22:08.170740Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.00684","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e338919f4cd9787a774124a7a1e7c17997cf3621de7420cf34abf58262d544f5","sha256:06ffee73e363b0468c16f66ba025d505b72c86ff87858fb1f5ba5ed4759c6b8b"],"state_sha256":"7545e5743d53a4cb78f7abef885edef1d511536ae7d18140954325c221991711"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zpYin1m7a0EwoveqaDzR7CgOJ1vlcmek5qzugZVo1MrSUExLOQEs+VEAd60kPWPQ7Db53HFvP+PHrzQ/0vkmDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T11:50:59.439212Z","bundle_sha256":"ee3818455818226335cdaf6566ed64b83bb418e074c3eb8d240cf93047844c3a"}}