{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:4KRAMHJWZPKNOX7PXPDC352NWK","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":"e82ae2950c531f236e797b2afed49093d371e453dba52763adba3441bbea6205","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-03T09:59:36Z","title_canon_sha256":"92f4cb491e014cc858018e0135140967db5a02f51a30649ecba25893969370d8"},"schema_version":"1.0","source":{"id":"2607.03160","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.03160","created_at":"2026-07-07T01:16:45Z"},{"alias_kind":"arxiv_version","alias_value":"2607.03160v1","created_at":"2026-07-07T01:16:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.03160","created_at":"2026-07-07T01:16:45Z"},{"alias_kind":"pith_short_12","alias_value":"4KRAMHJWZPKN","created_at":"2026-07-07T01:16:45Z"},{"alias_kind":"pith_short_16","alias_value":"4KRAMHJWZPKNOX7P","created_at":"2026-07-07T01:16:45Z"},{"alias_kind":"pith_short_8","alias_value":"4KRAMHJW","created_at":"2026-07-07T01:16:45Z"}],"graph_snapshots":[{"event_id":"sha256:cf98f7464518caf3bf36ea08d988b30de1e42fb7f1916679829a517dbbe5b6ef","target":"graph","created_at":"2026-07-07T01:16:45Z","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/2607.03160/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This study examines how prompt language and translation theory-driven prompt design influence the quality of Spanish-Chinese journalistic translations generated by GPT-5.2. A parallel corpus of four editorials from El Pais was translated under 48 experimental conditions (4 prompt types, 3 prompt languages, and 4 articles). Translation quality was assessed using BLEU and BERTScore-F1 for automated evaluation, alongside human evaluation based on the Multidimensional Quality Metrics (MQM) framework. Automated metrics identified the baseline prompt (BASE) as the best-performing condition, whereas ","authors_text":"Haohong Lai, Weijia Li","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-03T09:59:36Z","title":"The Role of Prompt Language and Translation-Theory-Driven Prompts in Large Language Models: A Case Study on Spanish-Chinese Journalistic Translation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.03160","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:b463c7444c3be0498e0805febfeb9a9469e63a248b54a06760297ba35d7fa858","target":"record","created_at":"2026-07-07T01:16:45Z","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":"e82ae2950c531f236e797b2afed49093d371e453dba52763adba3441bbea6205","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-03T09:59:36Z","title_canon_sha256":"92f4cb491e014cc858018e0135140967db5a02f51a30649ecba25893969370d8"},"schema_version":"1.0","source":{"id":"2607.03160","kind":"arxiv","version":1}},"canonical_sha256":"e2a2061d36cbd4d75fefbbc62df74db282874d394924d3e11feef4661ad63b0c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e2a2061d36cbd4d75fefbbc62df74db282874d394924d3e11feef4661ad63b0c","first_computed_at":"2026-07-07T01:16:45.230311Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T01:16:45.230311Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rWcJbQChoGL/fb8bvrtAiUzv+MeHjBF0RnEnLxyvOxMMjArcfZ2YgcWVEwauJGwf87669198iewyWKpAw3VXDw==","signature_status":"signed_v1","signed_at":"2026-07-07T01:16:45.230808Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.03160","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b463c7444c3be0498e0805febfeb9a9469e63a248b54a06760297ba35d7fa858","sha256:cf98f7464518caf3bf36ea08d988b30de1e42fb7f1916679829a517dbbe5b6ef"],"state_sha256":"d249752457b55b0979911424d8fc6e0ab37b2e7b126f1f2194ebeb4b0ffdb5e3"}