{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:IBLNY2VFYOTZDIYBTS7EWGJMWH","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":"34dc33d11bfc7e7613d8d730483e4ddc35dc08bd539af0b126af9f9e7f04632b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-09-06T07:33:48Z","title_canon_sha256":"08fac0704890d45c3d5c3e6e02970e9b9e275956b601f1de6fe382ff8e7e478c"},"schema_version":"1.0","source":{"id":"1809.01854","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.01854","created_at":"2026-05-18T00:06:21Z"},{"alias_kind":"arxiv_version","alias_value":"1809.01854v1","created_at":"2026-05-18T00:06:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.01854","created_at":"2026-05-18T00:06:21Z"},{"alias_kind":"pith_short_12","alias_value":"IBLNY2VFYOTZ","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"IBLNY2VFYOTZDIYB","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"IBLNY2VF","created_at":"2026-05-18T12:32:28Z"}],"graph_snapshots":[{"event_id":"sha256:aebfa7d3e893fac56bcb5b535027803f4572f22af07339f264a1856f7fcd37ea","target":"graph","created_at":"2026-05-18T00:06:21Z","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":"The addition of syntax-aware decoding in Neural Machine Translation (NMT) systems requires an effective tree-structured neural network, a syntax-aware attention model and a language generation model that is sensitive to sentence structure. We exploit a top-down tree-structured model called DRNN (Doubly-Recurrent Neural Networks) first proposed by Alvarez-Melis and Jaakola (2017) to create an NMT model called Seq2DRNN that combines a sequential encoder with tree-structured decoding augmented with a syntax-aware attention model. Unlike previous approaches to syntax-based NMT which use dependency","authors_text":"Anoop Sarkar, Hassan S. Shavarani, Jetic G\\=u","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-09-06T07:33:48Z","title":"Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.01854","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:db710915e15c8055d0ad1946afd8b14ca5c5261ca9545e9d8611c584d876830f","target":"record","created_at":"2026-05-18T00:06:21Z","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":"34dc33d11bfc7e7613d8d730483e4ddc35dc08bd539af0b126af9f9e7f04632b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-09-06T07:33:48Z","title_canon_sha256":"08fac0704890d45c3d5c3e6e02970e9b9e275956b601f1de6fe382ff8e7e478c"},"schema_version":"1.0","source":{"id":"1809.01854","kind":"arxiv","version":1}},"canonical_sha256":"4056dc6aa5c3a791a3019cbe4b192cb1ce0c931514533237f78e1386f87d1f53","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4056dc6aa5c3a791a3019cbe4b192cb1ce0c931514533237f78e1386f87d1f53","first_computed_at":"2026-05-18T00:06:21.788320Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:06:21.788320Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OfjZyuJ40+nFFi4hQa4nWGsc6n+NA7I08QmaA1NelMLJD9vXfLvT/bsJiIG/YeARKlDuCn/L+CfB4sZhg/HJAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:06:21.788715Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.01854","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:db710915e15c8055d0ad1946afd8b14ca5c5261ca9545e9d8611c584d876830f","sha256:aebfa7d3e893fac56bcb5b535027803f4572f22af07339f264a1856f7fcd37ea"],"state_sha256":"241a15747fc566d24bef0be4a1c0ff15f6659e525c4b6ad5067582b41d9cc2fa"}