{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BZQVNLOMART3J5QUYOA4QIBMJP","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":"b524b0660761edd3df08eba0f17eb04c24a6414c4967f52ea8bb35f5bfc2214d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-13T08:10:56Z","title_canon_sha256":"a97cb9414bd7d8e0fef0eb5785d0a021970b92b7666dfd530180ef1effe9111d"},"schema_version":"1.0","source":{"id":"2412.09946","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.09946","created_at":"2026-07-05T09:48:44Z"},{"alias_kind":"arxiv_version","alias_value":"2412.09946v1","created_at":"2026-07-05T09:48:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.09946","created_at":"2026-07-05T09:48:44Z"},{"alias_kind":"pith_short_12","alias_value":"BZQVNLOMART3","created_at":"2026-07-05T09:48:44Z"},{"alias_kind":"pith_short_16","alias_value":"BZQVNLOMART3J5QU","created_at":"2026-07-05T09:48:44Z"},{"alias_kind":"pith_short_8","alias_value":"BZQVNLOM","created_at":"2026-07-05T09:48:44Z"}],"graph_snapshots":[{"event_id":"sha256:5edb9671e4eaeb20a93331b5c5d9b56d378df84451793757d1c81d81e81cbfed","target":"graph","created_at":"2026-07-05T09:48:44Z","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/2412.09946/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper explores the application of large language models (LLMs) in nursing and elderly care, focusing on AI-driven patient monitoring and interaction. We introduce a novel Chinese nursing dataset and implement incremental pre-training (IPT) and supervised fine-tuning (SFT) techniques to enhance LLM performance in specialized tasks. Using LangChain, we develop a dynamic nursing assistant capable of real-time care and personalized interventions. Experimental results demonstrate significant improvements, paving the way for AI-driven solutions to meet the growing demands of healthcare in aging","authors_text":"Jiexin Xie, Nanyang Ye, Qiao Sun, Qinying Gu, Shijie Guo","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-13T08:10:56Z","title":"Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.09946","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":"sha256:6b1277a22cc28fdb44c3c3890ba90639a2c85f7f1d6c133bb91dc7cf57a8a141","target":"record","created_at":"2026-07-05T09:48:44Z","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":"b524b0660761edd3df08eba0f17eb04c24a6414c4967f52ea8bb35f5bfc2214d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-13T08:10:56Z","title_canon_sha256":"a97cb9414bd7d8e0fef0eb5785d0a021970b92b7666dfd530180ef1effe9111d"},"schema_version":"1.0","source":{"id":"2412.09946","kind":"arxiv","version":1}},"canonical_sha256":"0e6156adcc0467b4f614c381c8202c4be4fcf3cfb726e387ae8f5c611dc1464d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0e6156adcc0467b4f614c381c8202c4be4fcf3cfb726e387ae8f5c611dc1464d","first_computed_at":"2026-07-05T09:48:44.261853Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:48:44.261853Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZFgYV0PXeTZ6TEvzYhSRBNSpGDyIiht6dVp7SKOmEES6hXHOqJQqj587b0TKP8k8WrTDZ8hsrILjH2uEH/f9Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:48:44.262437Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.09946","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6b1277a22cc28fdb44c3c3890ba90639a2c85f7f1d6c133bb91dc7cf57a8a141","sha256:5edb9671e4eaeb20a93331b5c5d9b56d378df84451793757d1c81d81e81cbfed"],"state_sha256":"1c361fc26e3546d7180261d926ab3648d240571f382388edede43a3bfd79051a"}