{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:OKA2YM5RY7DOPRHUAZFTDRTD5Y","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":"69f5cccb00b01fdb59c77166d6c461cc91c30b0fc8b7f0911fc15653eaaa325b","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-05-02T08:58:17Z","title_canon_sha256":"138fbca0bdb65b27fbdfc6dc9e5b5ac4234f3fd840c06af353f203bdbb3ebd61"},"schema_version":"1.0","source":{"id":"1705.00861","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.00861","created_at":"2026-05-18T00:45:09Z"},{"alias_kind":"arxiv_version","alias_value":"1705.00861v1","created_at":"2026-05-18T00:45:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.00861","created_at":"2026-05-18T00:45:09Z"},{"alias_kind":"pith_short_12","alias_value":"OKA2YM5RY7DO","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_16","alias_value":"OKA2YM5RY7DOPRHU","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_8","alias_value":"OKA2YM5R","created_at":"2026-05-18T12:31:34Z"}],"graph_snapshots":[{"event_id":"sha256:8bdfe980375b851b99caa59e7d2c1486ba15a2a5e4731f008864b2e93d0640bb","target":"graph","created_at":"2026-05-18T00:45:09Z","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":"Deep Neural Networks (DNNs) have provably enhanced the state-of-the-art Neural Machine Translation (NMT) with their capability in modeling complex functions and capturing complex linguistic structures. However NMT systems with deep architecture in their encoder or decoder RNNs often suffer from severe gradient diffusion due to the non-linear recurrent activations, which often make the optimization much more difficult. To address this problem we propose novel linear associative units (LAU) to reduce the gradient propagation length inside the recurrent unit. Different from conventional approache","authors_text":"Jie Zhou, Mingxuan Wang, Qun Liu, Zhengdong Lu","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-05-02T08:58:17Z","title":"Deep Neural Machine Translation with Linear Associative Unit"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.00861","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:cf7db9b5e8742d6062e681b7187f50b77f3b9988046a02f6e4963f850f3a5af8","target":"record","created_at":"2026-05-18T00:45:09Z","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":"69f5cccb00b01fdb59c77166d6c461cc91c30b0fc8b7f0911fc15653eaaa325b","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-05-02T08:58:17Z","title_canon_sha256":"138fbca0bdb65b27fbdfc6dc9e5b5ac4234f3fd840c06af353f203bdbb3ebd61"},"schema_version":"1.0","source":{"id":"1705.00861","kind":"arxiv","version":1}},"canonical_sha256":"7281ac33b1c7c6e7c4f4064b31c663ee0a2413e366753fac98a7639334a93d91","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7281ac33b1c7c6e7c4f4064b31c663ee0a2413e366753fac98a7639334a93d91","first_computed_at":"2026-05-18T00:45:09.545503Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:45:09.545503Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nM8TrhhFX1leNWAuOcnF+cgkUsLBETuYnMosOK615vVqWJUOsOjgX24K0Fz4p2XvyKJVoAOUxZ2MH8tDil2VAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:45:09.546172Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.00861","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cf7db9b5e8742d6062e681b7187f50b77f3b9988046a02f6e4963f850f3a5af8","sha256:8bdfe980375b851b99caa59e7d2c1486ba15a2a5e4731f008864b2e93d0640bb"],"state_sha256":"9fff9614df80b6bb7cb5fe69ab0744b8737ff303dab000f241541951c0b622eb"}