{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:YFNXQSMTCZGE6MY62J5XCTZ33H","short_pith_number":"pith:YFNXQSMT","canonical_record":{"source":{"id":"1611.07663","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-11-23T07:09:04Z","cross_cats_sorted":[],"title_canon_sha256":"c2cedc29490f102c6a8aa5c28f03c41a65218dca698eb0cb5dfeaf3544bd1667","abstract_canon_sha256":"65488f79022635d7d2be236963ae2fb0f6554b280e9f52981dc2f05875784af6"},"schema_version":"1.0"},"canonical_sha256":"c15b784993164c4f331ed27b714f3bd9c46c1013259dadd1b0902c48272ca049","source":{"kind":"arxiv","id":"1611.07663","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.07663","created_at":"2026-05-18T00:57:00Z"},{"alias_kind":"arxiv_version","alias_value":"1611.07663v1","created_at":"2026-05-18T00:57:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.07663","created_at":"2026-05-18T00:57:00Z"},{"alias_kind":"pith_short_12","alias_value":"YFNXQSMTCZGE","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_16","alias_value":"YFNXQSMTCZGE6MY6","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_8","alias_value":"YFNXQSMT","created_at":"2026-05-18T12:30:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:YFNXQSMTCZGE6MY62J5XCTZ33H","target":"record","payload":{"canonical_record":{"source":{"id":"1611.07663","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-11-23T07:09:04Z","cross_cats_sorted":[],"title_canon_sha256":"c2cedc29490f102c6a8aa5c28f03c41a65218dca698eb0cb5dfeaf3544bd1667","abstract_canon_sha256":"65488f79022635d7d2be236963ae2fb0f6554b280e9f52981dc2f05875784af6"},"schema_version":"1.0"},"canonical_sha256":"c15b784993164c4f331ed27b714f3bd9c46c1013259dadd1b0902c48272ca049","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:57:00.138554Z","signature_b64":"BXYDxosNU7oNnlW5C3d9TvrpEUwmzx1xNnhTdSgr4jpbwJ+B/PebyTrKhCIriSj+fscqq93rMYqcQkm9z1EABg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c15b784993164c4f331ed27b714f3bd9c46c1013259dadd1b0902c48272ca049","last_reissued_at":"2026-05-18T00:57:00.137876Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:57:00.137876Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1611.07663","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":"2026-05-18T00:57:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xtWdMMN+5RBoUxsfdofUI9MQVmCQWWWXRwlMpOozll75NBZlJsCk/wtsj7gC4ZEOy6r6bQHVh2W/SUhD6rPlAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T22:05:07.150583Z"},"content_sha256":"1e9a51e3a3b2ec46a711226cb8006a1b63f064170f85edf057c9c2a12fe79c40","schema_version":"1.0","event_id":"sha256:1e9a51e3a3b2ec46a711226cb8006a1b63f064170f85edf057c9c2a12fe79c40"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:YFNXQSMTCZGE6MY62J5XCTZ33H","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Cost-Effective and Interpretable Regimes for Treatment Recommendation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ML","authors_text":"Cynthia Rudin, Himabindu Lakkaraju","submitted_at":"2016-11-23T07:09:04Z","abstract_excerpt":"Decision makers, such as doctors and judges, make crucial decisions such as recommending treatments to patients, and granting bails to defendants on a daily basis. Such decisions typically involve weighting the potential benefits of taking an action against the costs involved. In this work, we aim to automate this task of learning {cost-effective, interpretable and actionable treatment regimes. We formulate this as a problem of learning a decision list -- a sequence of if-then-else rules -- which maps characteristics of subjects (eg., diagnostic test results of patients) to treatments. We prop"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.07663","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":"2026-05-18T00:57:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xUJod7EbNQynYzkNl+dTDd3AezzCH+v+cQG1CHXAR0sN+2/xOkOjgpWn5jja/+vuDQKZp5rrngEA6/Wl3SAjAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T22:05:07.150935Z"},"content_sha256":"80910cb68c5793b2fd5c7f1b3eb32beea9e236353f5a840c7c5c952ae49a0919","schema_version":"1.0","event_id":"sha256:80910cb68c5793b2fd5c7f1b3eb32beea9e236353f5a840c7c5c952ae49a0919"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YFNXQSMTCZGE6MY62J5XCTZ33H/bundle.json","state_url":"https://pith.science/pith/YFNXQSMTCZGE6MY62J5XCTZ33H/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YFNXQSMTCZGE6MY62J5XCTZ33H/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":"2026-06-02T22:05:07Z","links":{"resolver":"https://pith.science/pith/YFNXQSMTCZGE6MY62J5XCTZ33H","bundle":"https://pith.science/pith/YFNXQSMTCZGE6MY62J5XCTZ33H/bundle.json","state":"https://pith.science/pith/YFNXQSMTCZGE6MY62J5XCTZ33H/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YFNXQSMTCZGE6MY62J5XCTZ33H/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:YFNXQSMTCZGE6MY62J5XCTZ33H","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":"65488f79022635d7d2be236963ae2fb0f6554b280e9f52981dc2f05875784af6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-11-23T07:09:04Z","title_canon_sha256":"c2cedc29490f102c6a8aa5c28f03c41a65218dca698eb0cb5dfeaf3544bd1667"},"schema_version":"1.0","source":{"id":"1611.07663","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.07663","created_at":"2026-05-18T00:57:00Z"},{"alias_kind":"arxiv_version","alias_value":"1611.07663v1","created_at":"2026-05-18T00:57:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.07663","created_at":"2026-05-18T00:57:00Z"},{"alias_kind":"pith_short_12","alias_value":"YFNXQSMTCZGE","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_16","alias_value":"YFNXQSMTCZGE6MY6","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_8","alias_value":"YFNXQSMT","created_at":"2026-05-18T12:30:53Z"}],"graph_snapshots":[{"event_id":"sha256:80910cb68c5793b2fd5c7f1b3eb32beea9e236353f5a840c7c5c952ae49a0919","target":"graph","created_at":"2026-05-18T00:57:00Z","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":"Decision makers, such as doctors and judges, make crucial decisions such as recommending treatments to patients, and granting bails to defendants on a daily basis. Such decisions typically involve weighting the potential benefits of taking an action against the costs involved. In this work, we aim to automate this task of learning {cost-effective, interpretable and actionable treatment regimes. We formulate this as a problem of learning a decision list -- a sequence of if-then-else rules -- which maps characteristics of subjects (eg., diagnostic test results of patients) to treatments. We prop","authors_text":"Cynthia Rudin, Himabindu Lakkaraju","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-11-23T07:09:04Z","title":"Learning Cost-Effective and Interpretable Regimes for Treatment Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.07663","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":"sha256:1e9a51e3a3b2ec46a711226cb8006a1b63f064170f85edf057c9c2a12fe79c40","target":"record","created_at":"2026-05-18T00:57:00Z","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":"65488f79022635d7d2be236963ae2fb0f6554b280e9f52981dc2f05875784af6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-11-23T07:09:04Z","title_canon_sha256":"c2cedc29490f102c6a8aa5c28f03c41a65218dca698eb0cb5dfeaf3544bd1667"},"schema_version":"1.0","source":{"id":"1611.07663","kind":"arxiv","version":1}},"canonical_sha256":"c15b784993164c4f331ed27b714f3bd9c46c1013259dadd1b0902c48272ca049","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c15b784993164c4f331ed27b714f3bd9c46c1013259dadd1b0902c48272ca049","first_computed_at":"2026-05-18T00:57:00.137876Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:57:00.137876Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BXYDxosNU7oNnlW5C3d9TvrpEUwmzx1xNnhTdSgr4jpbwJ+B/PebyTrKhCIriSj+fscqq93rMYqcQkm9z1EABg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:57:00.138554Z","signed_message":"canonical_sha256_bytes"},"source_id":"1611.07663","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1e9a51e3a3b2ec46a711226cb8006a1b63f064170f85edf057c9c2a12fe79c40","sha256:80910cb68c5793b2fd5c7f1b3eb32beea9e236353f5a840c7c5c952ae49a0919"],"state_sha256":"54f999ffe5c84d527f90307c33c170de7e25adbbf6a833401b518149e9746977"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P/YnLIcWjddpoYqYOcWOXzd2pagKm3ogjpaXVeZjBv7r/+bbRxiOtnwvsn8qgsMzfNYKCSnlHFuIvkZxFzLVCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T22:05:07.152881Z","bundle_sha256":"134458515eed18dc4f11618e616f18c1c36a36cf9c1ba56b8e4651f800f86f4a"}}