{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:GZYPQ5MSAZKXA6F74A7SXMSRET","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":"114e94b679fb0326b00fee95abf59a79810fce48a79d0e0c59d0bd242d51b537","cross_cats_sorted":["cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-12-20T03:21:48Z","title_canon_sha256":"f1811d59f720e99d3b3be00dcee8a7abf02ad8e7824ebf230f2a2a5012773041"},"schema_version":"1.0","source":{"id":"2312.12740","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.12740","created_at":"2026-07-05T07:26:25Z"},{"alias_kind":"arxiv_version","alias_value":"2312.12740v1","created_at":"2026-07-05T07:26:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.12740","created_at":"2026-07-05T07:26:25Z"},{"alias_kind":"pith_short_12","alias_value":"GZYPQ5MSAZKX","created_at":"2026-07-05T07:26:25Z"},{"alias_kind":"pith_short_16","alias_value":"GZYPQ5MSAZKXA6F7","created_at":"2026-07-05T07:26:25Z"},{"alias_kind":"pith_short_8","alias_value":"GZYPQ5MS","created_at":"2026-07-05T07:26:25Z"}],"graph_snapshots":[{"event_id":"sha256:c410efbc5a0e6f706df61b54207064e3c8eea89370aa666612873d3780e19e08","target":"graph","created_at":"2026-07-05T07:26:25Z","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/2312.12740/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents the outcomes of fine-tuning Mistral 7B, a general-purpose large language model (LLM), for adaptive machine translation (MT). The fine-tuning process involves utilising a combination of zero-shot and one-shot translation prompts within the medical domain. The primary objective is to enhance real-time adaptive MT capabilities of Mistral 7B, enabling it to adapt translations to the required domain at inference time. The results, particularly for Spanish-to-English MT, showcase the efficacy of the fine-tuned model, demonstrating quality improvements in both zero-shot and one-sh","authors_text":"Andy Way, Rejwanul Haque, Yasmin Moslem","cross_cats":["cs.IR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-12-20T03:21:48Z","title":"Fine-tuning Large Language Models for Adaptive Machine Translation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.12740","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:e1ad91d5291ec5840de912c06d1765805823d0ede296213ffef5663f5184e6e0","target":"record","created_at":"2026-07-05T07:26:25Z","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":"114e94b679fb0326b00fee95abf59a79810fce48a79d0e0c59d0bd242d51b537","cross_cats_sorted":["cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-12-20T03:21:48Z","title_canon_sha256":"f1811d59f720e99d3b3be00dcee8a7abf02ad8e7824ebf230f2a2a5012773041"},"schema_version":"1.0","source":{"id":"2312.12740","kind":"arxiv","version":1}},"canonical_sha256":"3670f8759206557078bfe03f2bb25124e90265a2b19ea4ab6d844ef493b3ee0a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3670f8759206557078bfe03f2bb25124e90265a2b19ea4ab6d844ef493b3ee0a","first_computed_at":"2026-07-05T07:26:25.786340Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:26:25.786340Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uSztD34GOxUSyuG6Iv5UEMgjRHcdWsicNfssPNDNzdpf9IMf4+imidztONTrlm30tNpDiVaR3E756Sdfes2pDg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:26:25.786795Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.12740","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e1ad91d5291ec5840de912c06d1765805823d0ede296213ffef5663f5184e6e0","sha256:c410efbc5a0e6f706df61b54207064e3c8eea89370aa666612873d3780e19e08"],"state_sha256":"3ddfc3b6f791c2d535c56b120f8a3565637c3c14914778a8558902fb61c00ff3"}