{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:WKDKL77ZU353HEDASO5VG4ORI5","short_pith_number":"pith:WKDKL77Z","canonical_record":{"source":{"id":"1606.05325","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2016-06-16T19:36:51Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d4aa1009dffa5170449fb3edd5107f780cd684fd280eec72dc4d1a7578e8a75f","abstract_canon_sha256":"c82f674891e9e4b9960ea9181888b39b6ea06bfdacbe1193eb6fb4be3f01075e"},"schema_version":"1.0"},"canonical_sha256":"b286a5fff9a6fbb3906093bb5371d1475c8c94f4eac82a0bd390fb44739ce116","source":{"kind":"arxiv","id":"1606.05325","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.05325","created_at":"2026-05-18T01:12:21Z"},{"alias_kind":"arxiv_version","alias_value":"1606.05325v1","created_at":"2026-05-18T01:12:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.05325","created_at":"2026-05-18T01:12:21Z"},{"alias_kind":"pith_short_12","alias_value":"WKDKL77ZU353","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_16","alias_value":"WKDKL77ZU353HEDA","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_8","alias_value":"WKDKL77Z","created_at":"2026-05-18T12:30:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:WKDKL77ZU353HEDASO5VG4ORI5","target":"record","payload":{"canonical_record":{"source":{"id":"1606.05325","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2016-06-16T19:36:51Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d4aa1009dffa5170449fb3edd5107f780cd684fd280eec72dc4d1a7578e8a75f","abstract_canon_sha256":"c82f674891e9e4b9960ea9181888b39b6ea06bfdacbe1193eb6fb4be3f01075e"},"schema_version":"1.0"},"canonical_sha256":"b286a5fff9a6fbb3906093bb5371d1475c8c94f4eac82a0bd390fb44739ce116","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:12:21.566617Z","signature_b64":"7E4jD5dsBJ7IfGe+oEtdv9zaoVec86pF2+TM5SOniVsJkBH+CSI3C4yWtKTFg1/ssNIM1xLwuvCxKuR6NrwDAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b286a5fff9a6fbb3906093bb5371d1475c8c94f4eac82a0bd390fb44739ce116","last_reissued_at":"2026-05-18T01:12:21.566216Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:12:21.566216Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1606.05325","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":"2026-05-18T01:12:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1tUoyxN4Kfp/UEMY6N+9CAnsd0ulDnMY2kSFaUQvU9Wh+mGqCe3BYmFsTFif1IIVSzp6SBTcXOEbKERhSEzDDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T22:33:27.625909Z"},"content_sha256":"fda046374a11655c61014c8b8d1b038d300cecc1303717115d9a6f038783912d","schema_version":"1.0","event_id":"sha256:fda046374a11655c61014c8b8d1b038d300cecc1303717115d9a6f038783912d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:WKDKL77ZU353HEDASO5VG4ORI5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ACDC: $\\alpha$-Carving Decision Chain for Risk Stratification","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Joyce Ho, Joydeep Ghosh, Yubin Park","submitted_at":"2016-06-16T19:36:51Z","abstract_excerpt":"In many healthcare settings, intuitive decision rules for risk stratification can help effective hospital resource allocation. This paper introduces a novel variant of decision tree algorithms that produces a chain of decisions, not a general tree. Our algorithm, $\\alpha$-Carving Decision Chain (ACDC), sequentially carves out \"pure\" subsets of the majority class examples. The resulting chain of decision rules yields a pure subset of the minority class examples. Our approach is particularly effective in exploring large and class-imbalanced health datasets. Moreover, ACDC provides an interactive"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.05325","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":"2026-05-18T01:12:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IO3F/1aXHw6tmuFIVliDQ9FcDR2NsQdSewv7hoVYfvwI1QCzRb3s5hSK5OGh3lYfQamFsJG7+5GiahFiXPm9AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T22:33:27.626291Z"},"content_sha256":"132b95fd555b5e6d6e50fd57f75580507b4b5efb19680feeda3048a55479591c","schema_version":"1.0","event_id":"sha256:132b95fd555b5e6d6e50fd57f75580507b4b5efb19680feeda3048a55479591c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WKDKL77ZU353HEDASO5VG4ORI5/bundle.json","state_url":"https://pith.science/pith/WKDKL77ZU353HEDASO5VG4ORI5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WKDKL77ZU353HEDASO5VG4ORI5/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":"2026-06-01T22:33:27Z","links":{"resolver":"https://pith.science/pith/WKDKL77ZU353HEDASO5VG4ORI5","bundle":"https://pith.science/pith/WKDKL77ZU353HEDASO5VG4ORI5/bundle.json","state":"https://pith.science/pith/WKDKL77ZU353HEDASO5VG4ORI5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WKDKL77ZU353HEDASO5VG4ORI5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:WKDKL77ZU353HEDASO5VG4ORI5","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":"c82f674891e9e4b9960ea9181888b39b6ea06bfdacbe1193eb6fb4be3f01075e","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2016-06-16T19:36:51Z","title_canon_sha256":"d4aa1009dffa5170449fb3edd5107f780cd684fd280eec72dc4d1a7578e8a75f"},"schema_version":"1.0","source":{"id":"1606.05325","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.05325","created_at":"2026-05-18T01:12:21Z"},{"alias_kind":"arxiv_version","alias_value":"1606.05325v1","created_at":"2026-05-18T01:12:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.05325","created_at":"2026-05-18T01:12:21Z"},{"alias_kind":"pith_short_12","alias_value":"WKDKL77ZU353","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_16","alias_value":"WKDKL77ZU353HEDA","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_8","alias_value":"WKDKL77Z","created_at":"2026-05-18T12:30:48Z"}],"graph_snapshots":[{"event_id":"sha256:132b95fd555b5e6d6e50fd57f75580507b4b5efb19680feeda3048a55479591c","target":"graph","created_at":"2026-05-18T01:12:21Z","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":"In many healthcare settings, intuitive decision rules for risk stratification can help effective hospital resource allocation. This paper introduces a novel variant of decision tree algorithms that produces a chain of decisions, not a general tree. Our algorithm, $\\alpha$-Carving Decision Chain (ACDC), sequentially carves out \"pure\" subsets of the majority class examples. The resulting chain of decision rules yields a pure subset of the minority class examples. Our approach is particularly effective in exploring large and class-imbalanced health datasets. Moreover, ACDC provides an interactive","authors_text":"Joyce Ho, Joydeep Ghosh, Yubin Park","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2016-06-16T19:36:51Z","title":"ACDC: $\\alpha$-Carving Decision Chain for Risk Stratification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.05325","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:fda046374a11655c61014c8b8d1b038d300cecc1303717115d9a6f038783912d","target":"record","created_at":"2026-05-18T01:12:21Z","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":"c82f674891e9e4b9960ea9181888b39b6ea06bfdacbe1193eb6fb4be3f01075e","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2016-06-16T19:36:51Z","title_canon_sha256":"d4aa1009dffa5170449fb3edd5107f780cd684fd280eec72dc4d1a7578e8a75f"},"schema_version":"1.0","source":{"id":"1606.05325","kind":"arxiv","version":1}},"canonical_sha256":"b286a5fff9a6fbb3906093bb5371d1475c8c94f4eac82a0bd390fb44739ce116","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b286a5fff9a6fbb3906093bb5371d1475c8c94f4eac82a0bd390fb44739ce116","first_computed_at":"2026-05-18T01:12:21.566216Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:12:21.566216Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7E4jD5dsBJ7IfGe+oEtdv9zaoVec86pF2+TM5SOniVsJkBH+CSI3C4yWtKTFg1/ssNIM1xLwuvCxKuR6NrwDAA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:12:21.566617Z","signed_message":"canonical_sha256_bytes"},"source_id":"1606.05325","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fda046374a11655c61014c8b8d1b038d300cecc1303717115d9a6f038783912d","sha256:132b95fd555b5e6d6e50fd57f75580507b4b5efb19680feeda3048a55479591c"],"state_sha256":"44e808769a6cf36087e63b07bd1ecd7aa8dab1cce2308b372f8cc39db70c59e7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7iwOfn/8dZpzuwlVmEWAGRAOJBoI2JcNo58TE8CK1iDFB5Z5xSscQr+OGK578mcHwy4EkTVkYTD+wZbjolhxCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T22:33:27.628286Z","bundle_sha256":"f96a9bfa8e04ccae1a116da60ee207015277cf783fbea301369ef247d2d1b226"}}