{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:6FJXWIHVF6GCHLAJWQIOQ2VXTA","short_pith_number":"pith:6FJXWIHV","canonical_record":{"source":{"id":"2310.14451","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-22T23:25:28Z","cross_cats_sorted":[],"title_canon_sha256":"3d22d4237c288ab54323324f311c28a6638e42750b1812466355691880372af9","abstract_canon_sha256":"4025aed6ce9472d0d9ba865febe9bb8fc27d162f7249e3ef58f4ee5bcc2ce07e"},"schema_version":"1.0"},"canonical_sha256":"f1537b20f52f8c23ac09b410e86ab798194ebef289b5904cacf3d8b250f4b8d3","source":{"kind":"arxiv","id":"2310.14451","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.14451","created_at":"2026-07-05T10:21:56Z"},{"alias_kind":"arxiv_version","alias_value":"2310.14451v1","created_at":"2026-07-05T10:21:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.14451","created_at":"2026-07-05T10:21:56Z"},{"alias_kind":"pith_short_12","alias_value":"6FJXWIHVF6GC","created_at":"2026-07-05T10:21:56Z"},{"alias_kind":"pith_short_16","alias_value":"6FJXWIHVF6GCHLAJ","created_at":"2026-07-05T10:21:56Z"},{"alias_kind":"pith_short_8","alias_value":"6FJXWIHV","created_at":"2026-07-05T10:21:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:6FJXWIHVF6GCHLAJWQIOQ2VXTA","target":"record","payload":{"canonical_record":{"source":{"id":"2310.14451","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-22T23:25:28Z","cross_cats_sorted":[],"title_canon_sha256":"3d22d4237c288ab54323324f311c28a6638e42750b1812466355691880372af9","abstract_canon_sha256":"4025aed6ce9472d0d9ba865febe9bb8fc27d162f7249e3ef58f4ee5bcc2ce07e"},"schema_version":"1.0"},"canonical_sha256":"f1537b20f52f8c23ac09b410e86ab798194ebef289b5904cacf3d8b250f4b8d3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:21:56.290991Z","signature_b64":"14D+0vCC5N5OChM8w3L6LCHAKOYdbnjEQbaN7eNkZ8ULisgNhuZcAR1hDN9HokrO0QYC9oH7jbY+qRo6+0iVAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f1537b20f52f8c23ac09b410e86ab798194ebef289b5904cacf3d8b250f4b8d3","last_reissued_at":"2026-07-05T10:21:56.290503Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:21:56.290503Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.14451","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:21:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Txccusi5CP9Lwx64O3FlNBLWEvA3/fle6iwQrmdhz7ORgcW9dtO33om+uL3JScIGqaXn46TzvvbugSBVWD4MDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T12:22:31.702259Z"},"content_sha256":"64538ed40c2bce4e3cfceebd43a65a4da3a7f9b2cc23511e89827fc2227e2e96","schema_version":"1.0","event_id":"sha256:64538ed40c2bce4e3cfceebd43a65a4da3a7f9b2cc23511e89827fc2227e2e96"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:6FJXWIHVF6GCHLAJWQIOQ2VXTA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Domain Terminology Integration into Machine Translation: Leveraging Large Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Andy Way, Gianfranco Romani, John D. Kelleher, Mahdi Molaei, Rejwanul Haque, Yasmin Moslem","submitted_at":"2023-10-22T23:25:28Z","abstract_excerpt":"This paper discusses the methods that we used for our submissions to the WMT 2023 Terminology Shared Task for German-to-English (DE-EN), English-to-Czech (EN-CS), and Chinese-to-English (ZH-EN) language pairs. The task aims to advance machine translation (MT) by challenging participants to develop systems that accurately translate technical terms, ultimately enhancing communication and understanding in specialised domains. To this end, we conduct experiments that utilise large language models (LLMs) for two purposes: generating synthetic bilingual terminology-based data, and post-editing trans"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.14451","kind":"arxiv","version":1},"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/2310.14451/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":"2026-07-05T10:21:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g46pjGA9jf1o4dfsv+3w3rKVIV7+P4KzSt0KkKjlH6MPqkqrR8r2iPrQ7l72Pzc+3zhwk3tEjjDZZBDYZAEtBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T12:22:31.702771Z"},"content_sha256":"b5fdd6a814b4664d97275118100b915e21400a6ceef91de70d1987ee28866cd8","schema_version":"1.0","event_id":"sha256:b5fdd6a814b4664d97275118100b915e21400a6ceef91de70d1987ee28866cd8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6FJXWIHVF6GCHLAJWQIOQ2VXTA/bundle.json","state_url":"https://pith.science/pith/6FJXWIHVF6GCHLAJWQIOQ2VXTA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6FJXWIHVF6GCHLAJWQIOQ2VXTA/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":"2026-08-22T12:22:31Z","links":{"resolver":"https://pith.science/pith/6FJXWIHVF6GCHLAJWQIOQ2VXTA","bundle":"https://pith.science/pith/6FJXWIHVF6GCHLAJWQIOQ2VXTA/bundle.json","state":"https://pith.science/pith/6FJXWIHVF6GCHLAJWQIOQ2VXTA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6FJXWIHVF6GCHLAJWQIOQ2VXTA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:6FJXWIHVF6GCHLAJWQIOQ2VXTA","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":"4025aed6ce9472d0d9ba865febe9bb8fc27d162f7249e3ef58f4ee5bcc2ce07e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-22T23:25:28Z","title_canon_sha256":"3d22d4237c288ab54323324f311c28a6638e42750b1812466355691880372af9"},"schema_version":"1.0","source":{"id":"2310.14451","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.14451","created_at":"2026-07-05T10:21:56Z"},{"alias_kind":"arxiv_version","alias_value":"2310.14451v1","created_at":"2026-07-05T10:21:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.14451","created_at":"2026-07-05T10:21:56Z"},{"alias_kind":"pith_short_12","alias_value":"6FJXWIHVF6GC","created_at":"2026-07-05T10:21:56Z"},{"alias_kind":"pith_short_16","alias_value":"6FJXWIHVF6GCHLAJ","created_at":"2026-07-05T10:21:56Z"},{"alias_kind":"pith_short_8","alias_value":"6FJXWIHV","created_at":"2026-07-05T10:21:56Z"}],"graph_snapshots":[{"event_id":"sha256:b5fdd6a814b4664d97275118100b915e21400a6ceef91de70d1987ee28866cd8","target":"graph","created_at":"2026-07-05T10:21:56Z","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/2310.14451/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper discusses the methods that we used for our submissions to the WMT 2023 Terminology Shared Task for German-to-English (DE-EN), English-to-Czech (EN-CS), and Chinese-to-English (ZH-EN) language pairs. The task aims to advance machine translation (MT) by challenging participants to develop systems that accurately translate technical terms, ultimately enhancing communication and understanding in specialised domains. To this end, we conduct experiments that utilise large language models (LLMs) for two purposes: generating synthetic bilingual terminology-based data, and post-editing trans","authors_text":"Andy Way, Gianfranco Romani, John D. Kelleher, Mahdi Molaei, Rejwanul Haque, Yasmin Moslem","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-22T23:25:28Z","title":"Domain Terminology Integration into Machine Translation: Leveraging Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.14451","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":"sha256:64538ed40c2bce4e3cfceebd43a65a4da3a7f9b2cc23511e89827fc2227e2e96","target":"record","created_at":"2026-07-05T10:21:56Z","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":"4025aed6ce9472d0d9ba865febe9bb8fc27d162f7249e3ef58f4ee5bcc2ce07e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-22T23:25:28Z","title_canon_sha256":"3d22d4237c288ab54323324f311c28a6638e42750b1812466355691880372af9"},"schema_version":"1.0","source":{"id":"2310.14451","kind":"arxiv","version":1}},"canonical_sha256":"f1537b20f52f8c23ac09b410e86ab798194ebef289b5904cacf3d8b250f4b8d3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f1537b20f52f8c23ac09b410e86ab798194ebef289b5904cacf3d8b250f4b8d3","first_computed_at":"2026-07-05T10:21:56.290503Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:21:56.290503Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"14D+0vCC5N5OChM8w3L6LCHAKOYdbnjEQbaN7eNkZ8ULisgNhuZcAR1hDN9HokrO0QYC9oH7jbY+qRo6+0iVAA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:21:56.290991Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.14451","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:64538ed40c2bce4e3cfceebd43a65a4da3a7f9b2cc23511e89827fc2227e2e96","sha256:b5fdd6a814b4664d97275118100b915e21400a6ceef91de70d1987ee28866cd8"],"state_sha256":"963b1236ff03bebebbd580626d76bd28693a2892d04af947a423f978848d29f0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pGwxxPJ80RghkAgVPjZAEuaMiB/zCfIsuNqdKSn3qLbWVwCRm+qq1JfYDmJ2yf/JTB0M2i3VYJmYvPya5t0jDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T12:22:31.706370Z","bundle_sha256":"1ee2375cac5988a89f45116ddc4e72999e5e93bdf1d26d0a28592b922b51efb2"}}