{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:OY7Z2DJV2QK6MFO475IQYUMWQ2","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":"216739394dc50695521902ebe5a4078acdadea764973264e416071946d6862da","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-28T02:35:04Z","title_canon_sha256":"6b7912f55b3657111771b32344b3b15ecbb915b3d75aca40b33bf5e8bdfebfc8"},"schema_version":"1.0","source":{"id":"2211.15009","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.15009","created_at":"2026-07-05T05:19:58Z"},{"alias_kind":"arxiv_version","alias_value":"2211.15009v1","created_at":"2026-07-05T05:19:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.15009","created_at":"2026-07-05T05:19:58Z"},{"alias_kind":"pith_short_12","alias_value":"OY7Z2DJV2QK6","created_at":"2026-07-05T05:19:58Z"},{"alias_kind":"pith_short_16","alias_value":"OY7Z2DJV2QK6MFO4","created_at":"2026-07-05T05:19:58Z"},{"alias_kind":"pith_short_8","alias_value":"OY7Z2DJV","created_at":"2026-07-05T05:19:58Z"}],"graph_snapshots":[{"event_id":"sha256:c3210684c17a5f88d8dc84fa8d6d06ecb2391ddce036e343af01fb6c08200b9d","target":"graph","created_at":"2026-07-05T05:19:58Z","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/2211.15009/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper introduces the joint submission of the Beijing Jiaotong University and WeChat AI to the WMT'22 chat translation task for English-German. Based on the Transformer, we apply several effective variants. In our experiments, we utilize the pre-training-then-fine-tuning paradigm. In the first pre-training stage, we employ data filtering and synthetic data generation (i.e., back-translation, forward-translation, and knowledge distillation). In the second fine-tuning stage, we investigate speaker-aware in-domain data generation, speaker adaptation, prompt-based context modeling, target deno","authors_text":"Fandong Meng, Jie Zhou, Jinan Xu, Yufeng Chen, Yunlong Liang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-28T02:35:04Z","title":"BJTU-WeChat's Systems for the WMT22 Chat Translation Task"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.15009","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:b8bd7b9721adcc06d9f6de7a10248a9b9fb38f372e9937f00fc90d3e50c10122","target":"record","created_at":"2026-07-05T05:19:58Z","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":"216739394dc50695521902ebe5a4078acdadea764973264e416071946d6862da","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-28T02:35:04Z","title_canon_sha256":"6b7912f55b3657111771b32344b3b15ecbb915b3d75aca40b33bf5e8bdfebfc8"},"schema_version":"1.0","source":{"id":"2211.15009","kind":"arxiv","version":1}},"canonical_sha256":"763f9d0d35d415e615dcff510c519686b932cfe726ac1d2e2f8ed8528f70fa42","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"763f9d0d35d415e615dcff510c519686b932cfe726ac1d2e2f8ed8528f70fa42","first_computed_at":"2026-07-05T05:19:58.713347Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:19:58.713347Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RoxWuUTOBCWd18agpxjyIqfpDb+iw6ZxP40dD6u3H7blH/Lu2QMh9PXF95LDE5xmTxELTakucQ3oTv8T9spaBw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:19:58.713868Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.15009","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b8bd7b9721adcc06d9f6de7a10248a9b9fb38f372e9937f00fc90d3e50c10122","sha256:c3210684c17a5f88d8dc84fa8d6d06ecb2391ddce036e343af01fb6c08200b9d"],"state_sha256":"3086100505ca7af50f1a5e79ee40cda4c93be5d85664ff9293b0aefc7b299c09"}