{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ZKWR7NIYUJKHVON64OCMMNS5YD","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":"20abb214466d7a52c57e4eb73aaf4e2492da684302c1631621a1620318698df5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-02T07:23:01Z","title_canon_sha256":"b8980fe0e94eaa1a99adefb83393a8043ab41e098d71044c9b90d315a5480a67"},"schema_version":"1.0","source":{"id":"2606.03259","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.03259","created_at":"2026-06-03T01:05:36Z"},{"alias_kind":"arxiv_version","alias_value":"2606.03259v1","created_at":"2026-06-03T01:05:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.03259","created_at":"2026-06-03T01:05:36Z"},{"alias_kind":"pith_short_12","alias_value":"ZKWR7NIYUJKH","created_at":"2026-06-03T01:05:36Z"},{"alias_kind":"pith_short_16","alias_value":"ZKWR7NIYUJKHVON6","created_at":"2026-06-03T01:05:36Z"},{"alias_kind":"pith_short_8","alias_value":"ZKWR7NIY","created_at":"2026-06-03T01:05:36Z"}],"graph_snapshots":[{"event_id":"sha256:a81f10fe5a5807ac586dd5f2a807e97d7db6063bd7d59c4b0496579ce1a6787b","target":"graph","created_at":"2026-06-03T01:05:36Z","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/2606.03259/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Translation quality depends on purpose: the same source text demands different translations depending on audience, tone, and communicative intent. Yet MT models and metrics treat translation as a fixed mapping from source to target. LLMs enable users to explicitly specify purpose alongside source text, yet this capability has not been evaluated at scale. We introduce a systematic evaluation of purpose-driven MT across 50 languages, 5 model sizes and 8 text domains. We find that (1) explicit instructions substantially improve translation adaptedness, with larger gains on informal domains (conve","authors_text":"Ekaterina Vylomova, Raphael Merx, Trevor Cohn","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-02T07:23:01Z","title":"Beyond \"To whom it may concern\": Tailoring Machine Translation to Audience and Intent"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.03259","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:a6625247be634fd4e9f717b5236610add1bd42a96e7ad268378b9093a4b41765","target":"record","created_at":"2026-06-03T01:05:36Z","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":"20abb214466d7a52c57e4eb73aaf4e2492da684302c1631621a1620318698df5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-02T07:23:01Z","title_canon_sha256":"b8980fe0e94eaa1a99adefb83393a8043ab41e098d71044c9b90d315a5480a67"},"schema_version":"1.0","source":{"id":"2606.03259","kind":"arxiv","version":1}},"canonical_sha256":"caad1fb518a2547ab9bee384c6365dc0ee9fe50ab9b673d0aca6b61e67b3c942","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"caad1fb518a2547ab9bee384c6365dc0ee9fe50ab9b673d0aca6b61e67b3c942","first_computed_at":"2026-06-03T01:05:36.465877Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-03T01:05:36.465877Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lHjIL5Ijc+/pEVkkyDqY+zzF3XswgK25ss3H+aVt+JqFf/3ipMNbWUpOtXUI+jQ4w6PiM7QI8OdyGG5XjX8dAw==","signature_status":"signed_v1","signed_at":"2026-06-03T01:05:36.466265Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.03259","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a6625247be634fd4e9f717b5236610add1bd42a96e7ad268378b9093a4b41765","sha256:a81f10fe5a5807ac586dd5f2a807e97d7db6063bd7d59c4b0496579ce1a6787b"],"state_sha256":"ea2f1be38f10cf813a67d60422147f0bb036e5d313cf5f0963f7b33aae06c6f7"}