{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:M6DWV2B6JUJWHRW73YGEY6BGQA","short_pith_number":"pith:M6DWV2B6","canonical_record":{"source":{"id":"2406.02350","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-04T14:24:53Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"fc58cb3bb8cbdd8c12d6a0c75f98c0a163ada2d05bdaa6345f8e9c8d0c08c308","abstract_canon_sha256":"f6d34f6f27d17380af5134e394080cb84aba748508baab6c538a0ea01f3dd1ea"},"schema_version":"1.0"},"canonical_sha256":"67876ae83e4d1363c6dfde0c4c7826803814ef217f2ea684cc36627c96d8e2da","source":{"kind":"arxiv","id":"2406.02350","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.02350","created_at":"2026-07-05T08:27:50Z"},{"alias_kind":"arxiv_version","alias_value":"2406.02350v2","created_at":"2026-07-05T08:27:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.02350","created_at":"2026-07-05T08:27:50Z"},{"alias_kind":"pith_short_12","alias_value":"M6DWV2B6JUJW","created_at":"2026-07-05T08:27:50Z"},{"alias_kind":"pith_short_16","alias_value":"M6DWV2B6JUJWHRW7","created_at":"2026-07-05T08:27:50Z"},{"alias_kind":"pith_short_8","alias_value":"M6DWV2B6","created_at":"2026-07-05T08:27:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:M6DWV2B6JUJWHRW73YGEY6BGQA","target":"record","payload":{"canonical_record":{"source":{"id":"2406.02350","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-04T14:24:53Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"fc58cb3bb8cbdd8c12d6a0c75f98c0a163ada2d05bdaa6345f8e9c8d0c08c308","abstract_canon_sha256":"f6d34f6f27d17380af5134e394080cb84aba748508baab6c538a0ea01f3dd1ea"},"schema_version":"1.0"},"canonical_sha256":"67876ae83e4d1363c6dfde0c4c7826803814ef217f2ea684cc36627c96d8e2da","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:27:50.129466Z","signature_b64":"aUXjSVizw0HChg9x1tMwcLJ++ncNAv+lPtstneGjln2aDoLrFELhu37yHT2hF8F/l9xLj7WziCh+ZQvGHKsxDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"67876ae83e4d1363c6dfde0c4c7826803814ef217f2ea684cc36627c96d8e2da","last_reissued_at":"2026-07-05T08:27:50.128937Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:27:50.128937Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.02350","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:27:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FaZtSIuhJHLya55bJI3BC8TeU3UPZBDJGejxbzcjGamclFXMXa+8exJibMjDeQnwcZScKYnt0FftVMoLwitEDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T23:05:58.323623Z"},"content_sha256":"463670d3dea0f8d7d648a77ba116c92448936b3775f51edaa7e29f209831d685","schema_version":"1.0","event_id":"sha256:463670d3dea0f8d7d648a77ba116c92448936b3775f51edaa7e29f209831d685"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:M6DWV2B6JUJWHRW73YGEY6BGQA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LlamaCare: A Large Medical Language Model for Enhancing Healthcare Knowledge Sharing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Maojun Sun","submitted_at":"2024-06-04T14:24:53Z","abstract_excerpt":"Large language models (LLMs) have shown amazing capabilities in knowledge memorization and the present. However, when it comes to domain-specific knowledge and downstream tasks like medical, general LLMs are often unable to give precise answers. In addition, when people want LLMs to answer classification questions, they usually go through instruction tuning first. However, LLMs do not always give a direct index of the categorization after instruction tuning. In this paper, we proposed LlamaCare, a fine-tuned medical language model, and Extended Classification Integration(ECI), a module to hand"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.02350","kind":"arxiv","version":2},"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/2406.02350/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":"2026-07-05T08:27:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DcidpR9rvZHIKH8ViUdbh/maxTphueaRvf/o8EIx+jRSww9kMEHT2GgaD3GL7ikln4RZvG9L/jomt+w1UOKfCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T23:05:58.324582Z"},"content_sha256":"34d734675d8bab403e0dcd6d42d113fbca40c67d98c8b61c810601922c75cac5","schema_version":"1.0","event_id":"sha256:34d734675d8bab403e0dcd6d42d113fbca40c67d98c8b61c810601922c75cac5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M6DWV2B6JUJWHRW73YGEY6BGQA/bundle.json","state_url":"https://pith.science/pith/M6DWV2B6JUJWHRW73YGEY6BGQA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M6DWV2B6JUJWHRW73YGEY6BGQA/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":"2026-08-17T23:05:58Z","links":{"resolver":"https://pith.science/pith/M6DWV2B6JUJWHRW73YGEY6BGQA","bundle":"https://pith.science/pith/M6DWV2B6JUJWHRW73YGEY6BGQA/bundle.json","state":"https://pith.science/pith/M6DWV2B6JUJWHRW73YGEY6BGQA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M6DWV2B6JUJWHRW73YGEY6BGQA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:M6DWV2B6JUJWHRW73YGEY6BGQA","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":"f6d34f6f27d17380af5134e394080cb84aba748508baab6c538a0ea01f3dd1ea","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-04T14:24:53Z","title_canon_sha256":"fc58cb3bb8cbdd8c12d6a0c75f98c0a163ada2d05bdaa6345f8e9c8d0c08c308"},"schema_version":"1.0","source":{"id":"2406.02350","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.02350","created_at":"2026-07-05T08:27:50Z"},{"alias_kind":"arxiv_version","alias_value":"2406.02350v2","created_at":"2026-07-05T08:27:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.02350","created_at":"2026-07-05T08:27:50Z"},{"alias_kind":"pith_short_12","alias_value":"M6DWV2B6JUJW","created_at":"2026-07-05T08:27:50Z"},{"alias_kind":"pith_short_16","alias_value":"M6DWV2B6JUJWHRW7","created_at":"2026-07-05T08:27:50Z"},{"alias_kind":"pith_short_8","alias_value":"M6DWV2B6","created_at":"2026-07-05T08:27:50Z"}],"graph_snapshots":[{"event_id":"sha256:34d734675d8bab403e0dcd6d42d113fbca40c67d98c8b61c810601922c75cac5","target":"graph","created_at":"2026-07-05T08:27:50Z","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/2406.02350/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have shown amazing capabilities in knowledge memorization and the present. However, when it comes to domain-specific knowledge and downstream tasks like medical, general LLMs are often unable to give precise answers. In addition, when people want LLMs to answer classification questions, they usually go through instruction tuning first. However, LLMs do not always give a direct index of the categorization after instruction tuning. In this paper, we proposed LlamaCare, a fine-tuned medical language model, and Extended Classification Integration(ECI), a module to hand","authors_text":"Maojun Sun","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-04T14:24:53Z","title":"LlamaCare: A Large Medical Language Model for Enhancing Healthcare Knowledge Sharing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.02350","kind":"arxiv","version":2},"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":"sha256:463670d3dea0f8d7d648a77ba116c92448936b3775f51edaa7e29f209831d685","target":"record","created_at":"2026-07-05T08:27:50Z","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":"f6d34f6f27d17380af5134e394080cb84aba748508baab6c538a0ea01f3dd1ea","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-04T14:24:53Z","title_canon_sha256":"fc58cb3bb8cbdd8c12d6a0c75f98c0a163ada2d05bdaa6345f8e9c8d0c08c308"},"schema_version":"1.0","source":{"id":"2406.02350","kind":"arxiv","version":2}},"canonical_sha256":"67876ae83e4d1363c6dfde0c4c7826803814ef217f2ea684cc36627c96d8e2da","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"67876ae83e4d1363c6dfde0c4c7826803814ef217f2ea684cc36627c96d8e2da","first_computed_at":"2026-07-05T08:27:50.128937Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:27:50.128937Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aUXjSVizw0HChg9x1tMwcLJ++ncNAv+lPtstneGjln2aDoLrFELhu37yHT2hF8F/l9xLj7WziCh+ZQvGHKsxDA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:27:50.129466Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.02350","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:463670d3dea0f8d7d648a77ba116c92448936b3775f51edaa7e29f209831d685","sha256:34d734675d8bab403e0dcd6d42d113fbca40c67d98c8b61c810601922c75cac5"],"state_sha256":"82430fb22f82e30bf5367b03f2dca8987a1c1f3b0c0dd085753facabea4729fe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zGXSkp+HbUzPhv2H1kmz14p/TNEKcNRWK7G/iJVuLfI7hYSrnQLipOwI38kaoiwkmjmCXs35GpWDaGnKztVpCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T23:05:58.336540Z","bundle_sha256":"bb5af693bafb01078e957ae8c04549b20c7175f07d193e48d8ba17198dd12fe5"}}