{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:Q6QCDLB5CQWZBAAIOM6KXPUET4","short_pith_number":"pith:Q6QCDLB5","canonical_record":{"source":{"id":"2402.00746","kind":"arxiv","version":9},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-01T16:40:32Z","cross_cats_sorted":[],"title_canon_sha256":"a43ed5b2611ffe802c98845ea9c2137a3980030738dfc4d87bb867f1d94a6639","abstract_canon_sha256":"d0fa266ec943190480cfd2d575aafa245b95f13415b40f72f66103ab537162df"},"schema_version":"1.0"},"canonical_sha256":"87a021ac3d142d908008733cabbe849f2c3b5189380078d83131662e8315d474","source":{"kind":"arxiv","id":"2402.00746","version":9},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.00746","created_at":"2026-07-05T11:07:56Z"},{"alias_kind":"arxiv_version","alias_value":"2402.00746v9","created_at":"2026-07-05T11:07:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.00746","created_at":"2026-07-05T11:07:56Z"},{"alias_kind":"pith_short_12","alias_value":"Q6QCDLB5CQWZ","created_at":"2026-07-05T11:07:56Z"},{"alias_kind":"pith_short_16","alias_value":"Q6QCDLB5CQWZBAAI","created_at":"2026-07-05T11:07:56Z"},{"alias_kind":"pith_short_8","alias_value":"Q6QCDLB5","created_at":"2026-07-05T11:07:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:Q6QCDLB5CQWZBAAIOM6KXPUET4","target":"record","payload":{"canonical_record":{"source":{"id":"2402.00746","kind":"arxiv","version":9},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-01T16:40:32Z","cross_cats_sorted":[],"title_canon_sha256":"a43ed5b2611ffe802c98845ea9c2137a3980030738dfc4d87bb867f1d94a6639","abstract_canon_sha256":"d0fa266ec943190480cfd2d575aafa245b95f13415b40f72f66103ab537162df"},"schema_version":"1.0"},"canonical_sha256":"87a021ac3d142d908008733cabbe849f2c3b5189380078d83131662e8315d474","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:07:56.603925Z","signature_b64":"dQ+ZlA3Z44Q73Hu9yKRgYXTg4xRdz59Su50D/qwOdtrOuwx8sXWALvo39lcGW+f3XRP2hnwSqKGLlK0MxzkhCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"87a021ac3d142d908008733cabbe849f2c3b5189380078d83131662e8315d474","last_reissued_at":"2026-07-05T11:07:56.603420Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:07:56.603420Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.00746","source_version":9,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:07:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n82zVrHc6RmBcz/3I1pFiBR/tKfUsv1qhddonnzkyAubiS1d6u9ZMO9Da4o/NVd6sPIU8LxuqJvuN71/ndN7BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:58:32.614062Z"},"content_sha256":"bb1d925e5ee505a4a606977631203951be35224a21117f53ab1b6bcf480099d7","schema_version":"1.0","event_id":"sha256:bb1d925e5ee505a4a606977631203951be35224a21117f53ab1b6bcf480099d7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:Q6QCDLB5CQWZBAAIOM6KXPUET4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Health-LLM: Personalized Retrieval-Augmented Disease Prediction System","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chong Zhang, Dong Shu, Lizhou Fan, Mengnan Du, Mingyu Jin, Qinkai Yu, Suiyuan Zhu, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Zhenting Wang","submitted_at":"2024-02-01T16:40:32Z","abstract_excerpt":"Recent advancements in artificial intelligence (AI), especially large language models (LLMs), have significantly advanced healthcare applications and demonstrated potentials in intelligent medical treatment. However, there are conspicuous challenges such as vast data volumes and inconsistent symptom characterization standards, preventing full integration of healthcare AI systems with individual patients' needs. To promote professional and personalized healthcare, we propose an innovative framework, Heath-LLM, which combines large-scale feature extraction and medical knowledge trade-off scoring"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.00746","kind":"arxiv","version":9},"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/2402.00746/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":"2026-07-05T11:07:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F+iA6sAoVMXb4kr1wMpCwX4G0UDFrLju+X5GLPKU5Ya7Qosg9qp3kb6ZwofF5JjfBhiWVeYLiHkZQqUOc+HVDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:58:32.614612Z"},"content_sha256":"42d7ab55e5f5108533ed0cd094fe855ae1d571bd3e545e4e5da3b6172d981e37","schema_version":"1.0","event_id":"sha256:42d7ab55e5f5108533ed0cd094fe855ae1d571bd3e545e4e5da3b6172d981e37"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Q6QCDLB5CQWZBAAIOM6KXPUET4/bundle.json","state_url":"https://pith.science/pith/Q6QCDLB5CQWZBAAIOM6KXPUET4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Q6QCDLB5CQWZBAAIOM6KXPUET4/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":"2026-08-07T10:58:32Z","links":{"resolver":"https://pith.science/pith/Q6QCDLB5CQWZBAAIOM6KXPUET4","bundle":"https://pith.science/pith/Q6QCDLB5CQWZBAAIOM6KXPUET4/bundle.json","state":"https://pith.science/pith/Q6QCDLB5CQWZBAAIOM6KXPUET4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Q6QCDLB5CQWZBAAIOM6KXPUET4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:Q6QCDLB5CQWZBAAIOM6KXPUET4","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":"d0fa266ec943190480cfd2d575aafa245b95f13415b40f72f66103ab537162df","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-01T16:40:32Z","title_canon_sha256":"a43ed5b2611ffe802c98845ea9c2137a3980030738dfc4d87bb867f1d94a6639"},"schema_version":"1.0","source":{"id":"2402.00746","kind":"arxiv","version":9}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.00746","created_at":"2026-07-05T11:07:56Z"},{"alias_kind":"arxiv_version","alias_value":"2402.00746v9","created_at":"2026-07-05T11:07:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.00746","created_at":"2026-07-05T11:07:56Z"},{"alias_kind":"pith_short_12","alias_value":"Q6QCDLB5CQWZ","created_at":"2026-07-05T11:07:56Z"},{"alias_kind":"pith_short_16","alias_value":"Q6QCDLB5CQWZBAAI","created_at":"2026-07-05T11:07:56Z"},{"alias_kind":"pith_short_8","alias_value":"Q6QCDLB5","created_at":"2026-07-05T11:07:56Z"}],"graph_snapshots":[{"event_id":"sha256:42d7ab55e5f5108533ed0cd094fe855ae1d571bd3e545e4e5da3b6172d981e37","target":"graph","created_at":"2026-07-05T11:07:56Z","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/2402.00746/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in artificial intelligence (AI), especially large language models (LLMs), have significantly advanced healthcare applications and demonstrated potentials in intelligent medical treatment. However, there are conspicuous challenges such as vast data volumes and inconsistent symptom characterization standards, preventing full integration of healthcare AI systems with individual patients' needs. To promote professional and personalized healthcare, we propose an innovative framework, Heath-LLM, which combines large-scale feature extraction and medical knowledge trade-off scoring","authors_text":"Chong Zhang, Dong Shu, Lizhou Fan, Mengnan Du, Mingyu Jin, Qinkai Yu, Suiyuan Zhu, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Zhenting Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-01T16:40:32Z","title":"Health-LLM: Personalized Retrieval-Augmented Disease Prediction System"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.00746","kind":"arxiv","version":9},"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:bb1d925e5ee505a4a606977631203951be35224a21117f53ab1b6bcf480099d7","target":"record","created_at":"2026-07-05T11:07:56Z","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":"d0fa266ec943190480cfd2d575aafa245b95f13415b40f72f66103ab537162df","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-01T16:40:32Z","title_canon_sha256":"a43ed5b2611ffe802c98845ea9c2137a3980030738dfc4d87bb867f1d94a6639"},"schema_version":"1.0","source":{"id":"2402.00746","kind":"arxiv","version":9}},"canonical_sha256":"87a021ac3d142d908008733cabbe849f2c3b5189380078d83131662e8315d474","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"87a021ac3d142d908008733cabbe849f2c3b5189380078d83131662e8315d474","first_computed_at":"2026-07-05T11:07:56.603420Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:07:56.603420Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dQ+ZlA3Z44Q73Hu9yKRgYXTg4xRdz59Su50D/qwOdtrOuwx8sXWALvo39lcGW+f3XRP2hnwSqKGLlK0MxzkhCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:07:56.603925Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.00746","source_kind":"arxiv","source_version":9}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bb1d925e5ee505a4a606977631203951be35224a21117f53ab1b6bcf480099d7","sha256:42d7ab55e5f5108533ed0cd094fe855ae1d571bd3e545e4e5da3b6172d981e37"],"state_sha256":"1a3ce4e16ac5ac8ea7bdda65b3e08571f9f784dbb974dc4a03d65827fcfb2a51"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gbBpwcLSWDh32bLw5z5lzpREz6MAHwFknmcNuJD281rU4KRBJKIJ6/u5zSrP3cs+3C3LOQIGGldF5GdA1Nn1AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T10:58:32.618897Z","bundle_sha256":"f1b4a93074459a0389566880973094e14d88b8468852cdfd15266ba0f10b1bc5"}}