{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:V34YQS6F4ZWL4YQFE6VCPQ4SDU","short_pith_number":"pith:V34YQS6F","canonical_record":{"source":{"id":"1906.02384","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2019-06-06T02:17:48Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"d95c0fcd9b8debe0493d3f2fab58873522804b9936191556e5b8373a28e047ec","abstract_canon_sha256":"df079fef96b4d1683f590e4aac840680e8ddc0f832784f414240693477ea7e9c"},"schema_version":"1.0"},"canonical_sha256":"aef9884bc5e66cbe620527aa27c3921d1bc60c7df0d1bf3a6c0b8100163ab4d3","source":{"kind":"arxiv","id":"1906.02384","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.02384","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"arxiv_version","alias_value":"1906.02384v1","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.02384","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"pith_short_12","alias_value":"V34YQS6F4ZWL","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"V34YQS6F4ZWL4YQF","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"V34YQS6F","created_at":"2026-05-18T12:33:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:V34YQS6F4ZWL4YQFE6VCPQ4SDU","target":"record","payload":{"canonical_record":{"source":{"id":"1906.02384","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2019-06-06T02:17:48Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"d95c0fcd9b8debe0493d3f2fab58873522804b9936191556e5b8373a28e047ec","abstract_canon_sha256":"df079fef96b4d1683f590e4aac840680e8ddc0f832784f414240693477ea7e9c"},"schema_version":"1.0"},"canonical_sha256":"aef9884bc5e66cbe620527aa27c3921d1bc60c7df0d1bf3a6c0b8100163ab4d3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:44:01.384818Z","signature_b64":"hZzQCvzqoQnfvsw0+a1bLKMFBGWgLsvQ7Wbw6TnnPDA2VGnPKcQe6KHDgoJWdJdtUfZEmDcewwONViADiy4jAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aef9884bc5e66cbe620527aa27c3921d1bc60c7df0d1bf3a6c0b8100163ab4d3","last_reissued_at":"2026-05-17T23:44:01.384222Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:44:01.384222Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.02384","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":"2026-05-17T23:44:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nhcD430JhufTZmw7YTAGZ+h6xtbD6zTTuMHCH8xtz4/MeRZnBcgB+f/fGeJ5Sl6iwQnTNQEXSNPImzFBip2kAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T23:03:54.705227Z"},"content_sha256":"6145d89fe0fed0013d8ec063371a5861dc60c3ce004f29da1b3a818e524a423e","schema_version":"1.0","event_id":"sha256:6145d89fe0fed0013d8ec063371a5861dc60c3ce004f29da1b3a818e524a423e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:V34YQS6F4ZWL4YQFE6VCPQ4SDU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Selecting Biomarkers for building optimal treatment selection rules using Kernel Machines","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"stat.AP","authors_text":"Sayan Dasgupta, Ying Huang","submitted_at":"2019-06-06T02:17:48Z","abstract_excerpt":"Optimal biomarker combinations for treatment-selection can be derived by minimizing total burden to the population caused by the targeted disease and its treatment. However, when multiple biomarkers are present, including all in the model can be expensive and hurt model performance. To remedy this, we consider feature selection in optimization by minimizing an extended total burden that additionally incorporates biomarker measurement costs. Formulating it as a 0-norm penalized weighted classification, we develop various procedures for estimating linear and nonlinear combinations. Through simul"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.02384","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":"2026-05-17T23:44:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k56NsH5I0S7ymOkRvgespmanBP7FLY4S8cvDBL1ZTP61BWfqV1cDaGSYl6mk0kqtsj7bdNPQ8AIU7GyB1Xe9Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T23:03:54.705938Z"},"content_sha256":"b897521c93f78572a5075e9e80ecb8cdecc379ca98492387d1b015b2d76170a3","schema_version":"1.0","event_id":"sha256:b897521c93f78572a5075e9e80ecb8cdecc379ca98492387d1b015b2d76170a3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V34YQS6F4ZWL4YQFE6VCPQ4SDU/bundle.json","state_url":"https://pith.science/pith/V34YQS6F4ZWL4YQFE6VCPQ4SDU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V34YQS6F4ZWL4YQFE6VCPQ4SDU/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":"2026-05-27T23:03:54Z","links":{"resolver":"https://pith.science/pith/V34YQS6F4ZWL4YQFE6VCPQ4SDU","bundle":"https://pith.science/pith/V34YQS6F4ZWL4YQFE6VCPQ4SDU/bundle.json","state":"https://pith.science/pith/V34YQS6F4ZWL4YQFE6VCPQ4SDU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V34YQS6F4ZWL4YQFE6VCPQ4SDU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:V34YQS6F4ZWL4YQFE6VCPQ4SDU","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":"df079fef96b4d1683f590e4aac840680e8ddc0f832784f414240693477ea7e9c","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2019-06-06T02:17:48Z","title_canon_sha256":"d95c0fcd9b8debe0493d3f2fab58873522804b9936191556e5b8373a28e047ec"},"schema_version":"1.0","source":{"id":"1906.02384","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.02384","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"arxiv_version","alias_value":"1906.02384v1","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.02384","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"pith_short_12","alias_value":"V34YQS6F4ZWL","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"V34YQS6F4ZWL4YQF","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"V34YQS6F","created_at":"2026-05-18T12:33:30Z"}],"graph_snapshots":[{"event_id":"sha256:b897521c93f78572a5075e9e80ecb8cdecc379ca98492387d1b015b2d76170a3","target":"graph","created_at":"2026-05-17T23:44:01Z","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":"Optimal biomarker combinations for treatment-selection can be derived by minimizing total burden to the population caused by the targeted disease and its treatment. However, when multiple biomarkers are present, including all in the model can be expensive and hurt model performance. To remedy this, we consider feature selection in optimization by minimizing an extended total burden that additionally incorporates biomarker measurement costs. Formulating it as a 0-norm penalized weighted classification, we develop various procedures for estimating linear and nonlinear combinations. Through simul","authors_text":"Sayan Dasgupta, Ying Huang","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2019-06-06T02:17:48Z","title":"Selecting Biomarkers for building optimal treatment selection rules using Kernel Machines"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.02384","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":"sha256:6145d89fe0fed0013d8ec063371a5861dc60c3ce004f29da1b3a818e524a423e","target":"record","created_at":"2026-05-17T23:44:01Z","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":"df079fef96b4d1683f590e4aac840680e8ddc0f832784f414240693477ea7e9c","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2019-06-06T02:17:48Z","title_canon_sha256":"d95c0fcd9b8debe0493d3f2fab58873522804b9936191556e5b8373a28e047ec"},"schema_version":"1.0","source":{"id":"1906.02384","kind":"arxiv","version":1}},"canonical_sha256":"aef9884bc5e66cbe620527aa27c3921d1bc60c7df0d1bf3a6c0b8100163ab4d3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aef9884bc5e66cbe620527aa27c3921d1bc60c7df0d1bf3a6c0b8100163ab4d3","first_computed_at":"2026-05-17T23:44:01.384222Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:44:01.384222Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hZzQCvzqoQnfvsw0+a1bLKMFBGWgLsvQ7Wbw6TnnPDA2VGnPKcQe6KHDgoJWdJdtUfZEmDcewwONViADiy4jAA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:44:01.384818Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.02384","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6145d89fe0fed0013d8ec063371a5861dc60c3ce004f29da1b3a818e524a423e","sha256:b897521c93f78572a5075e9e80ecb8cdecc379ca98492387d1b015b2d76170a3"],"state_sha256":"81167d5e243adeeb95d4777b459d43fa7642708ff4f2e0b6fe03fd1deeb8bb73"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J1LiojLG/AITaNQsQfF/AaiQTv8SP5nQVVVLAp3my3SoNEA09kn5s6DW0AX3onQCgDb1Dn6uzwF/07+yVoEICQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T23:03:54.709667Z","bundle_sha256":"d3ff3adc5a88499f8dc2f78c3626e38add32e2ebfaa0098b142529506e27e16b"}}