{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:BZWRNEORW3SRQNKUYNBSGV64SD","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":"4bac286b22b650124bce611eef0b9fe9bfbfa4bfaf029ea33eaa7c6ac9af71c6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-11-09T09:30:37Z","title_canon_sha256":"d5d9e3503b460e8b3e07df9a5b36b87ccba7d857747834fe314a452351d3db02"},"schema_version":"1.0","source":{"id":"2011.04266","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.04266","created_at":"2026-07-05T01:50:03Z"},{"alias_kind":"arxiv_version","alias_value":"2011.04266v1","created_at":"2026-07-05T01:50:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.04266","created_at":"2026-07-05T01:50:03Z"},{"alias_kind":"pith_short_12","alias_value":"BZWRNEORW3SR","created_at":"2026-07-05T01:50:03Z"},{"alias_kind":"pith_short_16","alias_value":"BZWRNEORW3SRQNKU","created_at":"2026-07-05T01:50:03Z"},{"alias_kind":"pith_short_8","alias_value":"BZWRNEOR","created_at":"2026-07-05T01:50:03Z"}],"graph_snapshots":[{"event_id":"sha256:a3b443be9a563a2e4211b823af3ecd4f37183fc29523844fa1e33a776c90783a","target":"graph","created_at":"2026-07-05T01:50:03Z","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/2011.04266/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"BERT-enhanced neural machine translation (NMT) aims at leveraging BERT-encoded representations for translation tasks. A recently proposed approach uses attention mechanisms to fuse Transformer's encoder and decoder layers with BERT's last-layer representation and shows enhanced performance. However, their method doesn't allow for the flexible distribution of attention between the BERT representation and the encoder/decoder representation. In this work, we propose a novel BERT-enhanced NMT model called BERT-JAM which improves upon existing models from two aspects: 1) BERT-JAM uses joint-attenti","authors_text":"Dawei Jiang, Gang Chen, Sai Wu, Zhebin Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-11-09T09:30:37Z","title":"BERT-JAM: Boosting BERT-Enhanced Neural Machine Translation with Joint Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.04266","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":"sha256:23517e91d9bcd39160a7bd6cb98f3178e4096ca3b8fc9edfee0d4e1d729a8b3a","target":"record","created_at":"2026-07-05T01:50:03Z","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":"4bac286b22b650124bce611eef0b9fe9bfbfa4bfaf029ea33eaa7c6ac9af71c6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-11-09T09:30:37Z","title_canon_sha256":"d5d9e3503b460e8b3e07df9a5b36b87ccba7d857747834fe314a452351d3db02"},"schema_version":"1.0","source":{"id":"2011.04266","kind":"arxiv","version":1}},"canonical_sha256":"0e6d1691d1b6e5183554c3432357dc90dfcbc4e45cc31691d52d84a394aa1f3e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0e6d1691d1b6e5183554c3432357dc90dfcbc4e45cc31691d52d84a394aa1f3e","first_computed_at":"2026-07-05T01:50:03.989773Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:50:03.989773Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zw1hjB5MduAvhDppkrt5ro90yN3M25yt12j+H1w7IVOMBfPGLOXRre5fU38r9bmMTpKQviRi7aag3p4xM3SaBg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:50:03.990101Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.04266","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:23517e91d9bcd39160a7bd6cb98f3178e4096ca3b8fc9edfee0d4e1d729a8b3a","sha256:a3b443be9a563a2e4211b823af3ecd4f37183fc29523844fa1e33a776c90783a"],"state_sha256":"41ecd54b8350db20e44bf84c563534d83bb9337b3c03523e03d5a39aecdd4baa"}