{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:PRYBQJDIKLDNETG55YIJIDXELI","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":"9a7a5707cffc7f3b359ff5fd1b8042e65bfa1f22f21dc22db9eaa743ed00404e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-02-08T13:56:16Z","title_canon_sha256":"39cec7f339b57d4bc9c0d764f99b898675bb10758d5de2ce3a6672686e5b561f"},"schema_version":"1.0","source":{"id":"1702.02429","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.02429","created_at":"2026-05-18T00:51:05Z"},{"alias_kind":"arxiv_version","alias_value":"1702.02429v1","created_at":"2026-05-18T00:51:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.02429","created_at":"2026-05-18T00:51:05Z"},{"alias_kind":"pith_short_12","alias_value":"PRYBQJDIKLDN","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"PRYBQJDIKLDNETG5","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"PRYBQJDI","created_at":"2026-05-18T12:31:37Z"}],"graph_snapshots":[{"event_id":"sha256:68e8eed5425aaea636c6c77643713c0cc21194a8751730896de40eb76b205bfb","target":"graph","created_at":"2026-05-18T00:51:05Z","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":"Recent research in neural machine translation has largely focused on two aspects; neural network architectures and end-to-end learning algorithms. The problem of decoding, however, has received relatively little attention from the research community. In this paper, we solely focus on the problem of decoding given a trained neural machine translation model. Instead of trying to build a new decoding algorithm for any specific decoding objective, we propose the idea of trainable decoding algorithm in which we train a decoding algorithm to find a translation that maximizes an arbitrary decoding ob","authors_text":"Jiatao Gu, Kyunghyun Cho, Victor O.K. Li","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-02-08T13:56:16Z","title":"Trainable Greedy Decoding for Neural Machine Translation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.02429","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":"sha256:07fde9a5f3f95f11984e924c3f33c5143909ba072847494e8a4ec3ac10554703","target":"record","created_at":"2026-05-18T00:51:05Z","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":"9a7a5707cffc7f3b359ff5fd1b8042e65bfa1f22f21dc22db9eaa743ed00404e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-02-08T13:56:16Z","title_canon_sha256":"39cec7f339b57d4bc9c0d764f99b898675bb10758d5de2ce3a6672686e5b561f"},"schema_version":"1.0","source":{"id":"1702.02429","kind":"arxiv","version":1}},"canonical_sha256":"7c7018246852c6d24cddee10940ee45a29eb6774e29615b8419add253f9befde","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7c7018246852c6d24cddee10940ee45a29eb6774e29615b8419add253f9befde","first_computed_at":"2026-05-18T00:51:05.956349Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:51:05.956349Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7/hrDnejln82+yIHvOPmoZC/pVOD1os7MlDNlKHkCvZFGD8l0lILc2azG2EDy2to9Nt4OmYgVO/7qVqJ7CUOAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:51:05.956922Z","signed_message":"canonical_sha256_bytes"},"source_id":"1702.02429","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:07fde9a5f3f95f11984e924c3f33c5143909ba072847494e8a4ec3ac10554703","sha256:68e8eed5425aaea636c6c77643713c0cc21194a8751730896de40eb76b205bfb"],"state_sha256":"00c7cf4e7fb9033759eb7f581c32c2c7a1bfb7c5ae861444cd0605a6119511d1"}