{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:EE4GABRHJ63VYWACLKIDLOJRBS","short_pith_number":"pith:EE4GABRH","canonical_record":{"source":{"id":"1803.08631","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2018-03-23T01:43:37Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"cfc42aaed3e097dbaf21d43aef7dd89b41e4f1047d9a0748e10c1e57ca584336","abstract_canon_sha256":"f99f7d090e8b1e1b218efaa85e551fc282a1754e1fd86c18b3ff7baf27de683f"},"schema_version":"1.0"},"canonical_sha256":"21386006274fb75c58025a9035b9310cb0ddd5c1ba38dba75d4d45eac314fab4","source":{"kind":"arxiv","id":"1803.08631","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.08631","created_at":"2026-05-18T00:14:13Z"},{"alias_kind":"arxiv_version","alias_value":"1803.08631v2","created_at":"2026-05-18T00:14:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.08631","created_at":"2026-05-18T00:14:13Z"},{"alias_kind":"pith_short_12","alias_value":"EE4GABRHJ63V","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"EE4GABRHJ63VYWAC","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"EE4GABRH","created_at":"2026-05-18T12:32:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:EE4GABRHJ63VYWACLKIDLOJRBS","target":"record","payload":{"canonical_record":{"source":{"id":"1803.08631","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2018-03-23T01:43:37Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"cfc42aaed3e097dbaf21d43aef7dd89b41e4f1047d9a0748e10c1e57ca584336","abstract_canon_sha256":"f99f7d090e8b1e1b218efaa85e551fc282a1754e1fd86c18b3ff7baf27de683f"},"schema_version":"1.0"},"canonical_sha256":"21386006274fb75c58025a9035b9310cb0ddd5c1ba38dba75d4d45eac314fab4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:14:13.898698Z","signature_b64":"M2MDIY/SfxHpEgIAKIbq+t/Xu39uRApRYfYZEpO6lY/F2kTYiKbclXr1BRCuIsFvj2XEkKZGMt9zXwpNDXZ3Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"21386006274fb75c58025a9035b9310cb0ddd5c1ba38dba75d4d45eac314fab4","last_reissued_at":"2026-05-18T00:14:13.898013Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:14:13.898013Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1803.08631","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:14:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"is2k7GXOI7g6RZLywYO8XYV/8R+ySc7NcHe4wRik5O80fqcAXR+BFoO+G0tggSfTRhlaMqizmq7BwHpiCbivDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T20:48:23.347219Z"},"content_sha256":"4412c0b481cecbdcc59e085a44699c7d366d746387fa12583548b3bb3aa0e786","schema_version":"1.0","event_id":"sha256:4412c0b481cecbdcc59e085a44699c7d366d746387fa12583548b3bb3aa0e786"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:EE4GABRHJ63VYWACLKIDLOJRBS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SEGEN: Sample-Ensemble Genetic Evolutional Network Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.NE","authors_text":"Fisher B. Gouza, Jiawei Zhang, Limeng Cui","submitted_at":"2018-03-23T01:43:37Z","abstract_excerpt":"Deep learning, a rebranding of deep neural network research works, has achieved a remarkable success in recent years. With multiple hidden layers, deep learning models aim at computing the hierarchical feature representations of the observational data. Meanwhile, due to its severe disadvantages in data consumption, computational resources, parameter tuning costs and the lack of result explainability, deep learning has also suffered from lots of criticism. In this paper, we will introduce a new representation learning model, namely \"Sample-Ensemble Genetic Evolutionary Network\" (SEGEN), which c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.08631","kind":"arxiv","version":2},"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":"2026-05-18T00:14:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TuoPtoWIEh7tTVc2xoGifklpz2aWLg160hjcnUOl3azH8YQszSIbPetFExw63BpbtaSZh1m2hPWN9EUEzYWKCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T20:48:23.347902Z"},"content_sha256":"d450970a12f6f03551fb8c4d857865b52563d74ed3727edbe4977f8d8aa55a0c","schema_version":"1.0","event_id":"sha256:d450970a12f6f03551fb8c4d857865b52563d74ed3727edbe4977f8d8aa55a0c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EE4GABRHJ63VYWACLKIDLOJRBS/bundle.json","state_url":"https://pith.science/pith/EE4GABRHJ63VYWACLKIDLOJRBS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EE4GABRHJ63VYWACLKIDLOJRBS/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":"2026-05-27T20:48:23Z","links":{"resolver":"https://pith.science/pith/EE4GABRHJ63VYWACLKIDLOJRBS","bundle":"https://pith.science/pith/EE4GABRHJ63VYWACLKIDLOJRBS/bundle.json","state":"https://pith.science/pith/EE4GABRHJ63VYWACLKIDLOJRBS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EE4GABRHJ63VYWACLKIDLOJRBS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:EE4GABRHJ63VYWACLKIDLOJRBS","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":"f99f7d090e8b1e1b218efaa85e551fc282a1754e1fd86c18b3ff7baf27de683f","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2018-03-23T01:43:37Z","title_canon_sha256":"cfc42aaed3e097dbaf21d43aef7dd89b41e4f1047d9a0748e10c1e57ca584336"},"schema_version":"1.0","source":{"id":"1803.08631","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.08631","created_at":"2026-05-18T00:14:13Z"},{"alias_kind":"arxiv_version","alias_value":"1803.08631v2","created_at":"2026-05-18T00:14:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.08631","created_at":"2026-05-18T00:14:13Z"},{"alias_kind":"pith_short_12","alias_value":"EE4GABRHJ63V","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"EE4GABRHJ63VYWAC","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"EE4GABRH","created_at":"2026-05-18T12:32:22Z"}],"graph_snapshots":[{"event_id":"sha256:d450970a12f6f03551fb8c4d857865b52563d74ed3727edbe4977f8d8aa55a0c","target":"graph","created_at":"2026-05-18T00:14:13Z","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":"Deep learning, a rebranding of deep neural network research works, has achieved a remarkable success in recent years. With multiple hidden layers, deep learning models aim at computing the hierarchical feature representations of the observational data. Meanwhile, due to its severe disadvantages in data consumption, computational resources, parameter tuning costs and the lack of result explainability, deep learning has also suffered from lots of criticism. In this paper, we will introduce a new representation learning model, namely \"Sample-Ensemble Genetic Evolutionary Network\" (SEGEN), which c","authors_text":"Fisher B. Gouza, Jiawei Zhang, Limeng Cui","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2018-03-23T01:43:37Z","title":"SEGEN: Sample-Ensemble Genetic Evolutional Network Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.08631","kind":"arxiv","version":2},"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":"sha256:4412c0b481cecbdcc59e085a44699c7d366d746387fa12583548b3bb3aa0e786","target":"record","created_at":"2026-05-18T00:14:13Z","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":"f99f7d090e8b1e1b218efaa85e551fc282a1754e1fd86c18b3ff7baf27de683f","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2018-03-23T01:43:37Z","title_canon_sha256":"cfc42aaed3e097dbaf21d43aef7dd89b41e4f1047d9a0748e10c1e57ca584336"},"schema_version":"1.0","source":{"id":"1803.08631","kind":"arxiv","version":2}},"canonical_sha256":"21386006274fb75c58025a9035b9310cb0ddd5c1ba38dba75d4d45eac314fab4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"21386006274fb75c58025a9035b9310cb0ddd5c1ba38dba75d4d45eac314fab4","first_computed_at":"2026-05-18T00:14:13.898013Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:14:13.898013Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"M2MDIY/SfxHpEgIAKIbq+t/Xu39uRApRYfYZEpO6lY/F2kTYiKbclXr1BRCuIsFvj2XEkKZGMt9zXwpNDXZ3Cg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:14:13.898698Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.08631","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4412c0b481cecbdcc59e085a44699c7d366d746387fa12583548b3bb3aa0e786","sha256:d450970a12f6f03551fb8c4d857865b52563d74ed3727edbe4977f8d8aa55a0c"],"state_sha256":"75e45b8a7bf0c42cdb5819967ed795ae7faf38d340ba8a93c86d77f8c4318bdc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bAy9CrvTbP5KetXt9tmVp9jlT0JwD/LB564JOrQtwf/ZVPBs57gMQYwdnNrdAzUo7aOWBKnUZZvWUI9nvyBZCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T20:48:23.351509Z","bundle_sha256":"b786ae537058250e30aba1acc180797967000be9de2eb0f95abe7a73dccc14b7"}}