{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:QBFBEXOED7TQC2H7UNFMOX7N6D","short_pith_number":"pith:QBFBEXOE","canonical_record":{"source":{"id":"2403.00815","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-25T23:10:20Z","cross_cats_sorted":["cs.AI","cs.IR","q-bio.OT"],"title_canon_sha256":"9ee8c6383a990d3f594f8ade62653ad6b0248c253ceedbb8885332e4bb7144fc","abstract_canon_sha256":"6afef594ae51134ef1a732b5b9ad8a7a3e9c0b717ec20fd2618528eb3b0e3396"},"schema_version":"1.0"},"canonical_sha256":"804a125dc41fe70168ffa34ac75fedf0e4e6c2c6e3c36b453b8fa3a6e10f45e0","source":{"kind":"arxiv","id":"2403.00815","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.00815","created_at":"2026-07-05T08:48:59Z"},{"alias_kind":"arxiv_version","alias_value":"2403.00815v3","created_at":"2026-07-05T08:48:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.00815","created_at":"2026-07-05T08:48:59Z"},{"alias_kind":"pith_short_12","alias_value":"QBFBEXOED7TQ","created_at":"2026-07-05T08:48:59Z"},{"alias_kind":"pith_short_16","alias_value":"QBFBEXOED7TQC2H7","created_at":"2026-07-05T08:48:59Z"},{"alias_kind":"pith_short_8","alias_value":"QBFBEXOE","created_at":"2026-07-05T08:48:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:QBFBEXOED7TQC2H7UNFMOX7N6D","target":"record","payload":{"canonical_record":{"source":{"id":"2403.00815","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-25T23:10:20Z","cross_cats_sorted":["cs.AI","cs.IR","q-bio.OT"],"title_canon_sha256":"9ee8c6383a990d3f594f8ade62653ad6b0248c253ceedbb8885332e4bb7144fc","abstract_canon_sha256":"6afef594ae51134ef1a732b5b9ad8a7a3e9c0b717ec20fd2618528eb3b0e3396"},"schema_version":"1.0"},"canonical_sha256":"804a125dc41fe70168ffa34ac75fedf0e4e6c2c6e3c36b453b8fa3a6e10f45e0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:48:59.889069Z","signature_b64":"JBHL9YOtwbE0h6DuMuSRm8Fc0Xv+BZBVEUr7bFlijS6jueP1VpMtiAYEIbEWUtNWA+M7oEkEgLjkfaWn+g+RDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"804a125dc41fe70168ffa34ac75fedf0e4e6c2c6e3c36b453b8fa3a6e10f45e0","last_reissued_at":"2026-07-05T08:48:59.888582Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:48:59.888582Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.00815","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:48:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"imO+uEl8985RvWGI1m2RbqNMyahtbmvcdNXAisF884VNkjMIFgg8WEdYS53VWrL9S4WsBYT28Hi1W/hOWEsjCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T07:44:02.140030Z"},"content_sha256":"6f4fe1b5cbe7cee0750478d61b548ce0275520713bcd8c42cab68685a88f6901","schema_version":"1.0","event_id":"sha256:6f4fe1b5cbe7cee0750478d61b548ce0275520713bcd8c42cab68685a88f6901"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:QBFBEXOED7TQC2H7UNFMOX7N6D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.IR","q-bio.OT"],"primary_cat":"cs.CL","authors_text":"Bowen Jin, Carl Yang, Joyce C. Ho, May D. Wang, Ran Xu, Wenqi Shi, Yuchen Zhuang, Yue Yu","submitted_at":"2024-02-25T23:10:20Z","abstract_excerpt":"We present RAM-EHR, a Retrieval AugMentation pipeline to improve clinical predictions on Electronic Health Records (EHRs). RAM-EHR first collects multiple knowledge sources, converts them into text format, and uses dense retrieval to obtain information related to medical concepts. This strategy addresses the difficulties associated with complex names for the concepts. RAM-EHR then augments the local EHR predictive model co-trained with consistency regularization to capture complementary information from patient visits and summarized knowledge. Experiments on two EHR datasets show the efficacy "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.00815","kind":"arxiv","version":3},"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/2403.00815/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":"2026-07-05T08:48:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sZzNcNxr2o8bxY/nnNAz6OdvF+N716nFtJxt13aZWxQWQNw/MK0NJywUwjYfpKy4Z2xIMQL+iYB2Exk3AzYjDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T07:44:02.140548Z"},"content_sha256":"7b1c23b70ddee57ed2c8d5151496b463f9ccd5a6be27369636a2dbf118b7bfcb","schema_version":"1.0","event_id":"sha256:7b1c23b70ddee57ed2c8d5151496b463f9ccd5a6be27369636a2dbf118b7bfcb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QBFBEXOED7TQC2H7UNFMOX7N6D/bundle.json","state_url":"https://pith.science/pith/QBFBEXOED7TQC2H7UNFMOX7N6D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QBFBEXOED7TQC2H7UNFMOX7N6D/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":"2026-08-11T07:44:02Z","links":{"resolver":"https://pith.science/pith/QBFBEXOED7TQC2H7UNFMOX7N6D","bundle":"https://pith.science/pith/QBFBEXOED7TQC2H7UNFMOX7N6D/bundle.json","state":"https://pith.science/pith/QBFBEXOED7TQC2H7UNFMOX7N6D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QBFBEXOED7TQC2H7UNFMOX7N6D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QBFBEXOED7TQC2H7UNFMOX7N6D","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":"6afef594ae51134ef1a732b5b9ad8a7a3e9c0b717ec20fd2618528eb3b0e3396","cross_cats_sorted":["cs.AI","cs.IR","q-bio.OT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-25T23:10:20Z","title_canon_sha256":"9ee8c6383a990d3f594f8ade62653ad6b0248c253ceedbb8885332e4bb7144fc"},"schema_version":"1.0","source":{"id":"2403.00815","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.00815","created_at":"2026-07-05T08:48:59Z"},{"alias_kind":"arxiv_version","alias_value":"2403.00815v3","created_at":"2026-07-05T08:48:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.00815","created_at":"2026-07-05T08:48:59Z"},{"alias_kind":"pith_short_12","alias_value":"QBFBEXOED7TQ","created_at":"2026-07-05T08:48:59Z"},{"alias_kind":"pith_short_16","alias_value":"QBFBEXOED7TQC2H7","created_at":"2026-07-05T08:48:59Z"},{"alias_kind":"pith_short_8","alias_value":"QBFBEXOE","created_at":"2026-07-05T08:48:59Z"}],"graph_snapshots":[{"event_id":"sha256:7b1c23b70ddee57ed2c8d5151496b463f9ccd5a6be27369636a2dbf118b7bfcb","target":"graph","created_at":"2026-07-05T08:48:59Z","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/2403.00815/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present RAM-EHR, a Retrieval AugMentation pipeline to improve clinical predictions on Electronic Health Records (EHRs). RAM-EHR first collects multiple knowledge sources, converts them into text format, and uses dense retrieval to obtain information related to medical concepts. This strategy addresses the difficulties associated with complex names for the concepts. RAM-EHR then augments the local EHR predictive model co-trained with consistency regularization to capture complementary information from patient visits and summarized knowledge. Experiments on two EHR datasets show the efficacy ","authors_text":"Bowen Jin, Carl Yang, Joyce C. Ho, May D. Wang, Ran Xu, Wenqi Shi, Yuchen Zhuang, Yue Yu","cross_cats":["cs.AI","cs.IR","q-bio.OT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-25T23:10:20Z","title":"RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.00815","kind":"arxiv","version":3},"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":"sha256:6f4fe1b5cbe7cee0750478d61b548ce0275520713bcd8c42cab68685a88f6901","target":"record","created_at":"2026-07-05T08:48:59Z","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":"6afef594ae51134ef1a732b5b9ad8a7a3e9c0b717ec20fd2618528eb3b0e3396","cross_cats_sorted":["cs.AI","cs.IR","q-bio.OT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-25T23:10:20Z","title_canon_sha256":"9ee8c6383a990d3f594f8ade62653ad6b0248c253ceedbb8885332e4bb7144fc"},"schema_version":"1.0","source":{"id":"2403.00815","kind":"arxiv","version":3}},"canonical_sha256":"804a125dc41fe70168ffa34ac75fedf0e4e6c2c6e3c36b453b8fa3a6e10f45e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"804a125dc41fe70168ffa34ac75fedf0e4e6c2c6e3c36b453b8fa3a6e10f45e0","first_computed_at":"2026-07-05T08:48:59.888582Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:48:59.888582Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JBHL9YOtwbE0h6DuMuSRm8Fc0Xv+BZBVEUr7bFlijS6jueP1VpMtiAYEIbEWUtNWA+M7oEkEgLjkfaWn+g+RDA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:48:59.889069Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.00815","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f4fe1b5cbe7cee0750478d61b548ce0275520713bcd8c42cab68685a88f6901","sha256:7b1c23b70ddee57ed2c8d5151496b463f9ccd5a6be27369636a2dbf118b7bfcb"],"state_sha256":"0abe4c2e3fa522b0a927cb04f2a18f586808b96ef124acded9281e9802518ed4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"baCdty/8e2YtfaZZWEGYvVA4C3hhGl0xOIWkNkxvzhWaZqOB9ETfpIvZGXCZ+Z3VwzQEkwBfPqTZrZ1kDVC8Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T07:44:02.145411Z","bundle_sha256":"6f5fe9889d74eeb2af3c729590004513084874cd29c179a189d01f8ea7618cf7"}}