{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:RY43ZXJ77FXQKU3I6AU4M6KJZM","short_pith_number":"pith:RY43ZXJ7","canonical_record":{"source":{"id":"2411.14939","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-22T13:50:56Z","cross_cats_sorted":[],"title_canon_sha256":"ff9dcbdcd446dc2fea303845d81e4a18648810c7b35e7b2ed99cb336eb03f666","abstract_canon_sha256":"b6a4963508c3e183b607e483191d0a9b83691e7c865ac4b88480ab3f1d890e0c"},"schema_version":"1.0"},"canonical_sha256":"8e39bcdd3ff96f055368f029c67949cb14663115b4b66b2cfc0f9f12891d1b0a","source":{"kind":"arxiv","id":"2411.14939","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.14939","created_at":"2026-07-05T09:39:13Z"},{"alias_kind":"arxiv_version","alias_value":"2411.14939v1","created_at":"2026-07-05T09:39:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.14939","created_at":"2026-07-05T09:39:13Z"},{"alias_kind":"pith_short_12","alias_value":"RY43ZXJ77FXQ","created_at":"2026-07-05T09:39:13Z"},{"alias_kind":"pith_short_16","alias_value":"RY43ZXJ77FXQKU3I","created_at":"2026-07-05T09:39:13Z"},{"alias_kind":"pith_short_8","alias_value":"RY43ZXJ7","created_at":"2026-07-05T09:39:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:RY43ZXJ77FXQKU3I6AU4M6KJZM","target":"record","payload":{"canonical_record":{"source":{"id":"2411.14939","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-22T13:50:56Z","cross_cats_sorted":[],"title_canon_sha256":"ff9dcbdcd446dc2fea303845d81e4a18648810c7b35e7b2ed99cb336eb03f666","abstract_canon_sha256":"b6a4963508c3e183b607e483191d0a9b83691e7c865ac4b88480ab3f1d890e0c"},"schema_version":"1.0"},"canonical_sha256":"8e39bcdd3ff96f055368f029c67949cb14663115b4b66b2cfc0f9f12891d1b0a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:39:13.879359Z","signature_b64":"BWmEYmOemp+2oHWdM/piyJwGWpkrUBGVJxLw7akNRxWuCx4Pj0fnU9GSiSPethblghqESjHprH+MihNl9fMqDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8e39bcdd3ff96f055368f029c67949cb14663115b4b66b2cfc0f9f12891d1b0a","last_reissued_at":"2026-07-05T09:39:13.878951Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:39:13.878951Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.14939","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":"2026-07-05T09:39:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jZnuAv516fnKI2R9Eaf3Z+9f93ym95OM8YHu1INZt0yYG9hWrJT3tdoRiBGPrTqYwHg9jS+t7G5qPXS6tXoHAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T04:17:57.291526Z"},"content_sha256":"74c48bb21ed3fe17cc365e0558dc90bc31524872dcb20c6edc07a164a26fd6e5","schema_version":"1.0","event_id":"sha256:74c48bb21ed3fe17cc365e0558dc90bc31524872dcb20c6edc07a164a26fd6e5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:RY43ZXJ77FXQKU3I6AU4M6KJZM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Many happy returns: machine learning to support platelet issuing and waste reduction in hospital blood banks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Joseph Farrington, Kezhi Li, Martin Utley, Samah Alimam, Wai Keong Wong","submitted_at":"2024-11-22T13:50:56Z","abstract_excerpt":"Efforts to reduce platelet wastage in hospital blood banks have focused on ordering policies, but the predominant practice of issuing the oldest unit first may not be optimal when some units are returned unused. We propose a novel, machine learning (ML)-guided issuing policy to increase the likelihood of returned units being reissued before expiration. Our ML model trained to predict returns on 17,297 requests for platelets gave AUROC 0.74 on 9,353 held-out requests. Prior to ML model development we built a simulation of the blood bank operation that incorporated returns to understand the scal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.14939","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2411.14939/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":"2026-07-05T09:39:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2ytiw4xqSPnlAP2SEiyirM9Hrw6fWO0rC3BfyPaAAIIUnad4kUVD5vRcwPm2uxp30vao6gvXtJq1V3rnmOUSBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T04:17:57.292101Z"},"content_sha256":"b0562cb3f67ce8aa6603cfc533e731786b54cfc2e530b4f5c5f5111ebc959009","schema_version":"1.0","event_id":"sha256:b0562cb3f67ce8aa6603cfc533e731786b54cfc2e530b4f5c5f5111ebc959009"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RY43ZXJ77FXQKU3I6AU4M6KJZM/bundle.json","state_url":"https://pith.science/pith/RY43ZXJ77FXQKU3I6AU4M6KJZM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RY43ZXJ77FXQKU3I6AU4M6KJZM/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":"2026-08-16T04:17:57Z","links":{"resolver":"https://pith.science/pith/RY43ZXJ77FXQKU3I6AU4M6KJZM","bundle":"https://pith.science/pith/RY43ZXJ77FXQKU3I6AU4M6KJZM/bundle.json","state":"https://pith.science/pith/RY43ZXJ77FXQKU3I6AU4M6KJZM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RY43ZXJ77FXQKU3I6AU4M6KJZM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RY43ZXJ77FXQKU3I6AU4M6KJZM","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":"b6a4963508c3e183b607e483191d0a9b83691e7c865ac4b88480ab3f1d890e0c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-22T13:50:56Z","title_canon_sha256":"ff9dcbdcd446dc2fea303845d81e4a18648810c7b35e7b2ed99cb336eb03f666"},"schema_version":"1.0","source":{"id":"2411.14939","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.14939","created_at":"2026-07-05T09:39:13Z"},{"alias_kind":"arxiv_version","alias_value":"2411.14939v1","created_at":"2026-07-05T09:39:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.14939","created_at":"2026-07-05T09:39:13Z"},{"alias_kind":"pith_short_12","alias_value":"RY43ZXJ77FXQ","created_at":"2026-07-05T09:39:13Z"},{"alias_kind":"pith_short_16","alias_value":"RY43ZXJ77FXQKU3I","created_at":"2026-07-05T09:39:13Z"},{"alias_kind":"pith_short_8","alias_value":"RY43ZXJ7","created_at":"2026-07-05T09:39:13Z"}],"graph_snapshots":[{"event_id":"sha256:b0562cb3f67ce8aa6603cfc533e731786b54cfc2e530b4f5c5f5111ebc959009","target":"graph","created_at":"2026-07-05T09:39:13Z","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/2411.14939/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Efforts to reduce platelet wastage in hospital blood banks have focused on ordering policies, but the predominant practice of issuing the oldest unit first may not be optimal when some units are returned unused. We propose a novel, machine learning (ML)-guided issuing policy to increase the likelihood of returned units being reissued before expiration. Our ML model trained to predict returns on 17,297 requests for platelets gave AUROC 0.74 on 9,353 held-out requests. Prior to ML model development we built a simulation of the blood bank operation that incorporated returns to understand the scal","authors_text":"Joseph Farrington, Kezhi Li, Martin Utley, Samah Alimam, Wai Keong Wong","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-22T13:50:56Z","title":"Many happy returns: machine learning to support platelet issuing and waste reduction in hospital blood banks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.14939","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":"sha256:74c48bb21ed3fe17cc365e0558dc90bc31524872dcb20c6edc07a164a26fd6e5","target":"record","created_at":"2026-07-05T09:39:13Z","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":"b6a4963508c3e183b607e483191d0a9b83691e7c865ac4b88480ab3f1d890e0c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-22T13:50:56Z","title_canon_sha256":"ff9dcbdcd446dc2fea303845d81e4a18648810c7b35e7b2ed99cb336eb03f666"},"schema_version":"1.0","source":{"id":"2411.14939","kind":"arxiv","version":1}},"canonical_sha256":"8e39bcdd3ff96f055368f029c67949cb14663115b4b66b2cfc0f9f12891d1b0a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8e39bcdd3ff96f055368f029c67949cb14663115b4b66b2cfc0f9f12891d1b0a","first_computed_at":"2026-07-05T09:39:13.878951Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:39:13.878951Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BWmEYmOemp+2oHWdM/piyJwGWpkrUBGVJxLw7akNRxWuCx4Pj0fnU9GSiSPethblghqESjHprH+MihNl9fMqDg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:39:13.879359Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.14939","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:74c48bb21ed3fe17cc365e0558dc90bc31524872dcb20c6edc07a164a26fd6e5","sha256:b0562cb3f67ce8aa6603cfc533e731786b54cfc2e530b4f5c5f5111ebc959009"],"state_sha256":"36be2082a08a71eddf1a05c7529faac14291fd1a092b7a7178802cfbe6b5a47b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VeCj4/NLyuasgo8aMV6/U5jCEA/lPQfMQX3GJQe59dzi1/DkFvFqFImdcY7DP0PpmsRb8GwfD1wCUpJ8SP+GBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T04:17:57.296272Z","bundle_sha256":"4b6e86757e36e1e8752ac05fb0112105c9c1b476d4bbb248720e5a665db8e83f"}}