{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:6HCFCF34XM3PWHIWHULC2N4BE6","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":"a5a5378ec0c2a8781d06a3ae855bcd951e62fb5d6a760cda1ec5d5ba772f8237","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-06-01T09:54:32Z","title_canon_sha256":"ecf3335dc96ed38c6df1da4c91b32aeec3a20640c8227a50289725a8d9ddd7d1"},"schema_version":"1.0","source":{"id":"1806.00258","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.00258","created_at":"2026-05-18T00:14:24Z"},{"alias_kind":"arxiv_version","alias_value":"1806.00258v1","created_at":"2026-05-18T00:14:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.00258","created_at":"2026-05-18T00:14:24Z"},{"alias_kind":"pith_short_12","alias_value":"6HCFCF34XM3P","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"6HCFCF34XM3PWHIW","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"6HCFCF34","created_at":"2026-05-18T12:32:08Z"}],"graph_snapshots":[{"event_id":"sha256:5fd485d5420812fa0a5b7457dc65511a88d0ea299b7f8df96b3dcbaf848c6b28","target":"graph","created_at":"2026-05-18T00:14:24Z","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"},"paper":{"abstract_excerpt":"Neural machine translation (NMT) is a deep learning based approach for machine translation, which yields the state-of-the-art translation performance in scenarios where large-scale parallel corpora are available. Although the high-quality and domain-specific translation is crucial in the real world, domain-specific corpora are usually scarce or nonexistent, and thus vanilla NMT performs poorly in such scenarios. Domain adaptation that leverages both out-of-domain parallel corpora as well as monolingual corpora for in-domain translation, is very important for domain-specific translation. In thi","authors_text":"Chenhui Chu, Rui Wang","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-06-01T09:54:32Z","title":"A Survey of Domain Adaptation for Neural Machine Translation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.00258","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":"sha256:7bb7cf35c87e2cf6e8f5d9c1cdbcb68307dcdd9f70adcb5b61e501fd8ae00554","target":"record","created_at":"2026-05-18T00:14:24Z","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":"a5a5378ec0c2a8781d06a3ae855bcd951e62fb5d6a760cda1ec5d5ba772f8237","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-06-01T09:54:32Z","title_canon_sha256":"ecf3335dc96ed38c6df1da4c91b32aeec3a20640c8227a50289725a8d9ddd7d1"},"schema_version":"1.0","source":{"id":"1806.00258","kind":"arxiv","version":1}},"canonical_sha256":"f1c451177cbb36fb1d163d162d3781278ccdd308705b2662d235fecab0471d24","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f1c451177cbb36fb1d163d162d3781278ccdd308705b2662d235fecab0471d24","first_computed_at":"2026-05-18T00:14:24.232460Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:14:24.232460Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TM3yTeirGXv0CSJThJlDdZTcfrfGalXerJpKeLlj6VDWPlrJHr0WvIsvGcEDFgkmXUqvtBGAHwk0oO4ZhTdZDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:14:24.233241Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.00258","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7bb7cf35c87e2cf6e8f5d9c1cdbcb68307dcdd9f70adcb5b61e501fd8ae00554","sha256:5fd485d5420812fa0a5b7457dc65511a88d0ea299b7f8df96b3dcbaf848c6b28"],"state_sha256":"4ec4c96458d4c27a02782ce000bb8eb09678394a023f67c84b0b415759b04242"}