{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QUMZCWWHJ7APQC67ZFZB7DPFS7","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":"910140b659006d1538424afc769eef77b9f8e1014557372f4d52f240c798f560","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-30T14:25:56Z","title_canon_sha256":"542b49fb3c5ef59d5fcd10ce5d788470ac9ebddc3208ea3a99d662736481aab9"},"schema_version":"1.0","source":{"id":"2405.20089","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.20089","created_at":"2026-07-05T08:52:33Z"},{"alias_kind":"arxiv_version","alias_value":"2405.20089v2","created_at":"2026-07-05T08:52:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.20089","created_at":"2026-07-05T08:52:33Z"},{"alias_kind":"pith_short_12","alias_value":"QUMZCWWHJ7AP","created_at":"2026-07-05T08:52:33Z"},{"alias_kind":"pith_short_16","alias_value":"QUMZCWWHJ7APQC67","created_at":"2026-07-05T08:52:33Z"},{"alias_kind":"pith_short_8","alias_value":"QUMZCWWH","created_at":"2026-07-05T08:52:33Z"}],"graph_snapshots":[{"event_id":"sha256:a255ba6297504d95a2ddfce9cd7704b2b3fc281f87ae4f4b160f409dbe8c1674","target":"graph","created_at":"2026-07-05T08:52:33Z","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/2405.20089/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Fine-tuning large language models (LLMs) for machine translation has shown improvements in overall translation quality. However, it is unclear what is the impact of fine-tuning on desirable LLM behaviors that are not present in neural machine translation models, such as steerability, inherent document-level translation abilities, and the ability to produce less literal translations. We perform an extensive translation evaluation on the LLaMA and Falcon family of models with model size ranging from 7 billion up to 65 billion parameters. Our results show that while fine-tuning improves the gener","authors_text":"Bill Byrne, Christof Monz, David Stap, Eva Hasler, Ke Tran","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-30T14:25:56Z","title":"The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.20089","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":"sha256:61d9d244ab15efaa64564acf2249eeaf70e125a9308d2ff97af008da04677c9d","target":"record","created_at":"2026-07-05T08:52:33Z","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":"910140b659006d1538424afc769eef77b9f8e1014557372f4d52f240c798f560","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-30T14:25:56Z","title_canon_sha256":"542b49fb3c5ef59d5fcd10ce5d788470ac9ebddc3208ea3a99d662736481aab9"},"schema_version":"1.0","source":{"id":"2405.20089","kind":"arxiv","version":2}},"canonical_sha256":"8519915ac74fc0f80bdfc9721f8de597d012c594242029c309ffd111f92628d7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8519915ac74fc0f80bdfc9721f8de597d012c594242029c309ffd111f92628d7","first_computed_at":"2026-07-05T08:52:33.523860Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:52:33.523860Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3OKEsJpZQgRsnxGf86EZ7fA6lG/eV6cdq3FhL7hanhGinPdECkryhQ2KZFjOGsokIgtzDK6ck6+3/rBtQVNbDA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:52:33.524283Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.20089","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:61d9d244ab15efaa64564acf2249eeaf70e125a9308d2ff97af008da04677c9d","sha256:a255ba6297504d95a2ddfce9cd7704b2b3fc281f87ae4f4b160f409dbe8c1674"],"state_sha256":"be88490328c23df9e79d35e3c71ea4d7d887c248a99421131ee1a601df564852"}