{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:Z54SGG6J5KMAI7PR4OOODGKPZE","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":"9d8feb37c78e40f43fea559a2c30cfdda91f5f0bf0f810b739bfbf6aea244ad5","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-02-19T03:02:52Z","title_canon_sha256":"9b91a19faf8c821b15c558f745b80b3e56a3f8850632a9fb6545706c3aa53788"},"schema_version":"1.0","source":{"id":"2002.07971","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.07971","created_at":"2026-07-05T01:10:14Z"},{"alias_kind":"arxiv_version","alias_value":"2002.07971v2","created_at":"2026-07-05T01:10:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.07971","created_at":"2026-07-05T01:10:14Z"},{"alias_kind":"pith_short_12","alias_value":"Z54SGG6J5KMA","created_at":"2026-07-05T01:10:14Z"},{"alias_kind":"pith_short_16","alias_value":"Z54SGG6J5KMAI7PR","created_at":"2026-07-05T01:10:14Z"},{"alias_kind":"pith_short_8","alias_value":"Z54SGG6J","created_at":"2026-07-05T01:10:14Z"}],"graph_snapshots":[{"event_id":"sha256:71f9305e0203d242579cfed8ed8b4a9301287a0df7e3c1a96c7c2de6712dc9d4","target":"graph","created_at":"2026-07-05T01:10:14Z","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/2002.07971/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A novel gradient boosting framework is proposed where shallow neural networks are employed as ``weak learners''. General loss functions are considered under this unified framework with specific examples presented for classification, regression, and learning to rank. A fully corrective step is incorporated to remedy the pitfall of greedy function approximation of classic gradient boosting decision tree. The proposed model rendered outperforming results against state-of-the-art boosting methods in all three tasks on multiple datasets. An ablation study is performed to shed light on the effect of","authors_text":"Avradeep Bhowmik, Khoa Doan, Sarkhan Badirli, Sathiya S. Keerthi, Xuanqing Liu, Zhengming Xing","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-02-19T03:02:52Z","title":"Gradient Boosting Neural Networks: GrowNet"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.07971","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:c3721efe61524ca3811959bb77d720c8321bb33d582ca14782c1971656237531","target":"record","created_at":"2026-07-05T01:10:14Z","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":"9d8feb37c78e40f43fea559a2c30cfdda91f5f0bf0f810b739bfbf6aea244ad5","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-02-19T03:02:52Z","title_canon_sha256":"9b91a19faf8c821b15c558f745b80b3e56a3f8850632a9fb6545706c3aa53788"},"schema_version":"1.0","source":{"id":"2002.07971","kind":"arxiv","version":2}},"canonical_sha256":"cf79231bc9ea98047df1e39ce1994fc92b0ee793c4418199127586d0967f2d57","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cf79231bc9ea98047df1e39ce1994fc92b0ee793c4418199127586d0967f2d57","first_computed_at":"2026-07-05T01:10:14.158481Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:10:14.158481Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5VZ/lffKDjMICgn6yuFrQGRyEVxDUAQoJKulXUMydG9anVy0kOcQ+6rHV7/uImk8szkajEamOMAYeA9oCP/jDw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:10:14.158955Z","signed_message":"canonical_sha256_bytes"},"source_id":"2002.07971","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c3721efe61524ca3811959bb77d720c8321bb33d582ca14782c1971656237531","sha256:71f9305e0203d242579cfed8ed8b4a9301287a0df7e3c1a96c7c2de6712dc9d4"],"state_sha256":"aafcb4de4716de8cd5b6363ce3c3215771d5885d95794c62861aa74a52b31585"}