{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:XFRJGXPRNT6TML5RN7IHQEWZQK","short_pith_number":"pith:XFRJGXPR","canonical_record":{"source":{"id":"2310.07918","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-11T22:17:37Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"4ec64ff4baf0d73af0813c34fc43053f9ede65f81a69bb7bf86daea898163e97","abstract_canon_sha256":"5d84e57978bd10a751d913f4bc3b8f1fa69252513c8aba37be1f87a7d28958ab"},"schema_version":"1.0"},"canonical_sha256":"b962935df16cfd362fb16fd07812d982b0dda897b26042d7563c05b7e09dac1f","source":{"kind":"arxiv","id":"2310.07918","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.07918","created_at":"2026-07-05T08:16:42Z"},{"alias_kind":"arxiv_version","alias_value":"2310.07918v4","created_at":"2026-07-05T08:16:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.07918","created_at":"2026-07-05T08:16:42Z"},{"alias_kind":"pith_short_12","alias_value":"XFRJGXPRNT6T","created_at":"2026-07-05T08:16:42Z"},{"alias_kind":"pith_short_16","alias_value":"XFRJGXPRNT6TML5R","created_at":"2026-07-05T08:16:42Z"},{"alias_kind":"pith_short_8","alias_value":"XFRJGXPR","created_at":"2026-07-05T08:16:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:XFRJGXPRNT6TML5RN7IHQEWZQK","target":"record","payload":{"canonical_record":{"source":{"id":"2310.07918","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-11T22:17:37Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"4ec64ff4baf0d73af0813c34fc43053f9ede65f81a69bb7bf86daea898163e97","abstract_canon_sha256":"5d84e57978bd10a751d913f4bc3b8f1fa69252513c8aba37be1f87a7d28958ab"},"schema_version":"1.0"},"canonical_sha256":"b962935df16cfd362fb16fd07812d982b0dda897b26042d7563c05b7e09dac1f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:16:42.991696Z","signature_b64":"RMJpfPUlruFTlxxd9B949A5Q4ZFwQlih6r96xYO4fP8nWrBvxPQdOSi+AVGUtZKzQ/xc4gPUQbf3kED9Fw+cCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b962935df16cfd362fb16fd07812d982b0dda897b26042d7563c05b7e09dac1f","last_reissued_at":"2026-07-05T08:16:42.991233Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:16:42.991233Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.07918","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:16:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5hGZyJ8PZKx9J+6Osfju+DkT03L3sYrUa3CHXmOtSwsFfYWlmN7VurCp7PyPkRla7QZtixrFIxKWvpOrizHcAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T05:08:28.925472Z"},"content_sha256":"b51cf4cf4eafca26e22c8e8a3638790941e04de365d20bbf14299b4d45be5523","schema_version":"1.0","event_id":"sha256:b51cf4cf4eafca26e22c8e8a3638790941e04de365d20bbf14299b4d45be5523"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:XFRJGXPRNT6TML5RN7IHQEWZQK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","stat.ML"],"primary_cat":"cs.LG","authors_text":"Benjamin J. Lengerich, Caleb N. Ellington, Eric P. Xing, Jannik Deuschel, Pascal Friederich, Yingtao Luo","submitted_at":"2023-10-11T22:17:37Z","abstract_excerpt":"Interpretable policy learning seeks to estimate intelligible decision policies from observed actions; however, existing models force a tradeoff between accuracy and interpretability, limiting data-driven interpretations of human decision-making processes. Fundamentally, existing approaches are burdened by this tradeoff because they represent the underlying decision process as a universal policy, when in fact human decisions are dynamic and can change drastically under different contexts. Thus, we develop Contextualized Policy Recovery (CPR), which re-frames the problem of modeling complex deci"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.07918","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2310.07918/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T08:16:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZRVyBUkbFUEsqkbA7umxWJvLaxE02Sab9xcro0Wm5BlR1iwNnvCF4gITZqRpRwYo5iGdG40X6rEWJYpdUXk3Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T05:08:28.926087Z"},"content_sha256":"2026516891ad985da8cf7e434bf772aa734756b53e0722f53fe1cdf81f716b48","schema_version":"1.0","event_id":"sha256:2026516891ad985da8cf7e434bf772aa734756b53e0722f53fe1cdf81f716b48"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XFRJGXPRNT6TML5RN7IHQEWZQK/bundle.json","state_url":"https://pith.science/pith/XFRJGXPRNT6TML5RN7IHQEWZQK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XFRJGXPRNT6TML5RN7IHQEWZQK/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":"2026-08-20T05:08:28Z","links":{"resolver":"https://pith.science/pith/XFRJGXPRNT6TML5RN7IHQEWZQK","bundle":"https://pith.science/pith/XFRJGXPRNT6TML5RN7IHQEWZQK/bundle.json","state":"https://pith.science/pith/XFRJGXPRNT6TML5RN7IHQEWZQK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XFRJGXPRNT6TML5RN7IHQEWZQK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:XFRJGXPRNT6TML5RN7IHQEWZQK","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":"5d84e57978bd10a751d913f4bc3b8f1fa69252513c8aba37be1f87a7d28958ab","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-11T22:17:37Z","title_canon_sha256":"4ec64ff4baf0d73af0813c34fc43053f9ede65f81a69bb7bf86daea898163e97"},"schema_version":"1.0","source":{"id":"2310.07918","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.07918","created_at":"2026-07-05T08:16:42Z"},{"alias_kind":"arxiv_version","alias_value":"2310.07918v4","created_at":"2026-07-05T08:16:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.07918","created_at":"2026-07-05T08:16:42Z"},{"alias_kind":"pith_short_12","alias_value":"XFRJGXPRNT6T","created_at":"2026-07-05T08:16:42Z"},{"alias_kind":"pith_short_16","alias_value":"XFRJGXPRNT6TML5R","created_at":"2026-07-05T08:16:42Z"},{"alias_kind":"pith_short_8","alias_value":"XFRJGXPR","created_at":"2026-07-05T08:16:42Z"}],"graph_snapshots":[{"event_id":"sha256:2026516891ad985da8cf7e434bf772aa734756b53e0722f53fe1cdf81f716b48","target":"graph","created_at":"2026-07-05T08:16:42Z","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/2310.07918/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Interpretable policy learning seeks to estimate intelligible decision policies from observed actions; however, existing models force a tradeoff between accuracy and interpretability, limiting data-driven interpretations of human decision-making processes. Fundamentally, existing approaches are burdened by this tradeoff because they represent the underlying decision process as a universal policy, when in fact human decisions are dynamic and can change drastically under different contexts. Thus, we develop Contextualized Policy Recovery (CPR), which re-frames the problem of modeling complex deci","authors_text":"Benjamin J. Lengerich, Caleb N. Ellington, Eric P. Xing, Jannik Deuschel, Pascal Friederich, Yingtao Luo","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-11T22:17:37Z","title":"Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.07918","kind":"arxiv","version":4},"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:b51cf4cf4eafca26e22c8e8a3638790941e04de365d20bbf14299b4d45be5523","target":"record","created_at":"2026-07-05T08:16:42Z","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":"5d84e57978bd10a751d913f4bc3b8f1fa69252513c8aba37be1f87a7d28958ab","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-11T22:17:37Z","title_canon_sha256":"4ec64ff4baf0d73af0813c34fc43053f9ede65f81a69bb7bf86daea898163e97"},"schema_version":"1.0","source":{"id":"2310.07918","kind":"arxiv","version":4}},"canonical_sha256":"b962935df16cfd362fb16fd07812d982b0dda897b26042d7563c05b7e09dac1f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b962935df16cfd362fb16fd07812d982b0dda897b26042d7563c05b7e09dac1f","first_computed_at":"2026-07-05T08:16:42.991233Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:16:42.991233Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RMJpfPUlruFTlxxd9B949A5Q4ZFwQlih6r96xYO4fP8nWrBvxPQdOSi+AVGUtZKzQ/xc4gPUQbf3kED9Fw+cCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:16:42.991696Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.07918","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b51cf4cf4eafca26e22c8e8a3638790941e04de365d20bbf14299b4d45be5523","sha256:2026516891ad985da8cf7e434bf772aa734756b53e0722f53fe1cdf81f716b48"],"state_sha256":"555a14b0d2b144c29109213c9c0d43356ca3866dcfa4ee038dc26b7e5bed0852"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c/5QsFdk7FS1Zm0cfZnfjKU/4srozOWloj91hcioAv4YfLha+rLMWTr2CDIFJeTLyWEP5muk4QD+UCVMwUxcCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T05:08:28.930833Z","bundle_sha256":"cef002ec3c05e673dea7fdcf4482fc77617ac29d18df25cdb99208b7b549809f"}}