{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:OW5B4SVOISA6FN2X7KFI4RXOKB","short_pith_number":"pith:OW5B4SVO","canonical_record":{"source":{"id":"2409.14638","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-09-23T00:35:23Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"7f4bd6942388ec3faf3988ed7e3b34619d6d561043c644713387dff03adf249e","abstract_canon_sha256":"db068c34e1b168226745fe4dcf933fd12b67e76d2e05158657f8093faec9db97"},"schema_version":"1.0"},"canonical_sha256":"75ba1e4aae4481e2b757fa8a8e46ee50463bd271f279ecec6fb4e5aaa5c1ceb4","source":{"kind":"arxiv","id":"2409.14638","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.14638","created_at":"2026-07-05T09:10:51Z"},{"alias_kind":"arxiv_version","alias_value":"2409.14638v2","created_at":"2026-07-05T09:10:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.14638","created_at":"2026-07-05T09:10:51Z"},{"alias_kind":"pith_short_12","alias_value":"OW5B4SVOISA6","created_at":"2026-07-05T09:10:51Z"},{"alias_kind":"pith_short_16","alias_value":"OW5B4SVOISA6FN2X","created_at":"2026-07-05T09:10:51Z"},{"alias_kind":"pith_short_8","alias_value":"OW5B4SVO","created_at":"2026-07-05T09:10:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:OW5B4SVOISA6FN2X7KFI4RXOKB","target":"record","payload":{"canonical_record":{"source":{"id":"2409.14638","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-09-23T00:35:23Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"7f4bd6942388ec3faf3988ed7e3b34619d6d561043c644713387dff03adf249e","abstract_canon_sha256":"db068c34e1b168226745fe4dcf933fd12b67e76d2e05158657f8093faec9db97"},"schema_version":"1.0"},"canonical_sha256":"75ba1e4aae4481e2b757fa8a8e46ee50463bd271f279ecec6fb4e5aaa5c1ceb4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:10:51.466055Z","signature_b64":"Kum+J0eKQfSOgXMiDqqS80g8cB11C92Er5qDPa0pq/22NWuGES464leX1gGf1pjDP6gXbU20dEyktz7WeFXLAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"75ba1e4aae4481e2b757fa8a8e46ee50463bd271f279ecec6fb4e5aaa5c1ceb4","last_reissued_at":"2026-07-05T09:10:51.465562Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:10:51.465562Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.14638","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":"2026-07-05T09:10:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"giv4Q187soZxAqPS+PJ+l9zfPMll1/T3v4q094SToc4kxInZpZXKgRnjIF/hhuOBfG1fmMuXEX8FLScC9Z+CBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T06:36:53.183269Z"},"content_sha256":"385920681e8bc094fc66a0cda952f88e00b84a91f296efc8e1a75958cdc2c6dd","schema_version":"1.0","event_id":"sha256:385920681e8bc094fc66a0cda952f88e00b84a91f296efc8e1a75958cdc2c6dd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:OW5B4SVOISA6FN2X7KFI4RXOKB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Harmonising the Clinical Melody: Tuning Large Language Models for Hospital Course Summarisation in Clinical Coding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Bokang Bi, Leibo Liu, Louisa Jorm, Oscar Perez-Concha, Sanja Lujic","submitted_at":"2024-09-23T00:35:23Z","abstract_excerpt":"The increasing volume and complexity of clinical documentation in Electronic Medical Records systems pose significant challenges for clinical coders, who must mentally process and summarise vast amounts of clinical text to extract essential information needed for coding tasks. While large language models have been successfully applied to shorter summarisation tasks in recent years, the challenge of summarising a hospital course remains an open area for further research and development. In this study, we adapted three pre trained LLMs, Llama 3, BioMistral, Mistral Instruct v0.1 for the hospital"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.14638","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/2409.14638/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":"2026-07-05T09:10:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j5aloN6KldeYVy6IGXJxxRgNH2lMy6o+HsOMKxqlGkFKRjE2T49FYJJZ+MF7gsg7jiu0jU6TC/pHVU0Xmr5mAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T06:36:53.183659Z"},"content_sha256":"8e747b69e3686d2f08e2b42ddfa6f893ccc7b6547b1c696320f45bb709be99e2","schema_version":"1.0","event_id":"sha256:8e747b69e3686d2f08e2b42ddfa6f893ccc7b6547b1c696320f45bb709be99e2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OW5B4SVOISA6FN2X7KFI4RXOKB/bundle.json","state_url":"https://pith.science/pith/OW5B4SVOISA6FN2X7KFI4RXOKB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OW5B4SVOISA6FN2X7KFI4RXOKB/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":"2026-07-19T06:36:53Z","links":{"resolver":"https://pith.science/pith/OW5B4SVOISA6FN2X7KFI4RXOKB","bundle":"https://pith.science/pith/OW5B4SVOISA6FN2X7KFI4RXOKB/bundle.json","state":"https://pith.science/pith/OW5B4SVOISA6FN2X7KFI4RXOKB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OW5B4SVOISA6FN2X7KFI4RXOKB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OW5B4SVOISA6FN2X7KFI4RXOKB","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":"db068c34e1b168226745fe4dcf933fd12b67e76d2e05158657f8093faec9db97","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-09-23T00:35:23Z","title_canon_sha256":"7f4bd6942388ec3faf3988ed7e3b34619d6d561043c644713387dff03adf249e"},"schema_version":"1.0","source":{"id":"2409.14638","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.14638","created_at":"2026-07-05T09:10:51Z"},{"alias_kind":"arxiv_version","alias_value":"2409.14638v2","created_at":"2026-07-05T09:10:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.14638","created_at":"2026-07-05T09:10:51Z"},{"alias_kind":"pith_short_12","alias_value":"OW5B4SVOISA6","created_at":"2026-07-05T09:10:51Z"},{"alias_kind":"pith_short_16","alias_value":"OW5B4SVOISA6FN2X","created_at":"2026-07-05T09:10:51Z"},{"alias_kind":"pith_short_8","alias_value":"OW5B4SVO","created_at":"2026-07-05T09:10:51Z"}],"graph_snapshots":[{"event_id":"sha256:8e747b69e3686d2f08e2b42ddfa6f893ccc7b6547b1c696320f45bb709be99e2","target":"graph","created_at":"2026-07-05T09:10:51Z","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/2409.14638/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The increasing volume and complexity of clinical documentation in Electronic Medical Records systems pose significant challenges for clinical coders, who must mentally process and summarise vast amounts of clinical text to extract essential information needed for coding tasks. While large language models have been successfully applied to shorter summarisation tasks in recent years, the challenge of summarising a hospital course remains an open area for further research and development. In this study, we adapted three pre trained LLMs, Llama 3, BioMistral, Mistral Instruct v0.1 for the hospital","authors_text":"Bokang Bi, Leibo Liu, Louisa Jorm, Oscar Perez-Concha, Sanja Lujic","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-09-23T00:35:23Z","title":"Harmonising the Clinical Melody: Tuning Large Language Models for Hospital Course Summarisation in Clinical Coding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.14638","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":"sha256:385920681e8bc094fc66a0cda952f88e00b84a91f296efc8e1a75958cdc2c6dd","target":"record","created_at":"2026-07-05T09:10:51Z","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":"db068c34e1b168226745fe4dcf933fd12b67e76d2e05158657f8093faec9db97","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-09-23T00:35:23Z","title_canon_sha256":"7f4bd6942388ec3faf3988ed7e3b34619d6d561043c644713387dff03adf249e"},"schema_version":"1.0","source":{"id":"2409.14638","kind":"arxiv","version":2}},"canonical_sha256":"75ba1e4aae4481e2b757fa8a8e46ee50463bd271f279ecec6fb4e5aaa5c1ceb4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"75ba1e4aae4481e2b757fa8a8e46ee50463bd271f279ecec6fb4e5aaa5c1ceb4","first_computed_at":"2026-07-05T09:10:51.465562Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:10:51.465562Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Kum+J0eKQfSOgXMiDqqS80g8cB11C92Er5qDPa0pq/22NWuGES464leX1gGf1pjDP6gXbU20dEyktz7WeFXLAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:10:51.466055Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.14638","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:385920681e8bc094fc66a0cda952f88e00b84a91f296efc8e1a75958cdc2c6dd","sha256:8e747b69e3686d2f08e2b42ddfa6f893ccc7b6547b1c696320f45bb709be99e2"],"state_sha256":"2aa3a4917fcdaffa1f5b130568387dc5dc93a73674564f528fdf6fe72fae4950"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KjpaV3bUxjWGG05cx6at+WzucYzxF9fPgIUkzrld+uJcxBrWSasQJ99zs1z5i4HnWIGS0ji1TwZM20cguJMWBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-19T06:36:53.186328Z","bundle_sha256":"74becba275afb906688bf37af4f57b1c375802038156845442c5b2fafb3b4ec1"}}