{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:LWDQVOA4TM7ZIWLJFNJ4RUMQHF","short_pith_number":"pith:LWDQVOA4","canonical_record":{"source":{"id":"1707.01830","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-07-06T15:12:55Z","cross_cats_sorted":[],"title_canon_sha256":"f112eaa6056b523f32c001bac164e6e820664d3a1a82e7ca0175a1cbe9bf24f4","abstract_canon_sha256":"f523e273cbdd6c18655c882683753ef1465b8f272f2c1e43dc2dece1cc65f510"},"schema_version":"1.0"},"canonical_sha256":"5d870ab81c9b3f9459692b53c8d19039496af5f5237e8afe1c0abfcde91c6078","source":{"kind":"arxiv","id":"1707.01830","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.01830","created_at":"2026-05-18T00:40:39Z"},{"alias_kind":"arxiv_version","alias_value":"1707.01830v2","created_at":"2026-05-18T00:40:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.01830","created_at":"2026-05-18T00:40:39Z"},{"alias_kind":"pith_short_12","alias_value":"LWDQVOA4TM7Z","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_16","alias_value":"LWDQVOA4TM7ZIWLJ","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_8","alias_value":"LWDQVOA4","created_at":"2026-05-18T12:31:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:LWDQVOA4TM7ZIWLJFNJ4RUMQHF","target":"record","payload":{"canonical_record":{"source":{"id":"1707.01830","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-07-06T15:12:55Z","cross_cats_sorted":[],"title_canon_sha256":"f112eaa6056b523f32c001bac164e6e820664d3a1a82e7ca0175a1cbe9bf24f4","abstract_canon_sha256":"f523e273cbdd6c18655c882683753ef1465b8f272f2c1e43dc2dece1cc65f510"},"schema_version":"1.0"},"canonical_sha256":"5d870ab81c9b3f9459692b53c8d19039496af5f5237e8afe1c0abfcde91c6078","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:40:39.652542Z","signature_b64":"11E3C/TJuuU8dupcmZBwdRoxxVYeup38nTBQ+G+rqBjB40r2VRIQbR2Vr1h0JizIElmxSsKo/W7AdYL3iwYlBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5d870ab81c9b3f9459692b53c8d19039496af5f5237e8afe1c0abfcde91c6078","last_reissued_at":"2026-05-18T00:40:39.651714Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:40:39.651714Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1707.01830","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:40:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RbnsIEyfeiYw5MYSQZpMX0AlO3cEwbdEqSl8U7kuTuizNjl/XjTLSwHWIDkFR0EgEqkbgMHAyo6H96oUcly2CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T02:24:08.301463Z"},"content_sha256":"00b63695574e69b38b8a13fab8000232cff852c05da8cdd906008420bf36734e","schema_version":"1.0","event_id":"sha256:00b63695574e69b38b8a13fab8000232cff852c05da8cdd906008420bf36734e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:LWDQVOA4TM7ZIWLJFNJ4RUMQHF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Single-Queue Decoding for Neural Machine Translation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Hideki Nakayama, Raphael Shu","submitted_at":"2017-07-06T15:12:55Z","abstract_excerpt":"Neural machine translation models rely on the beam search algorithm for decoding. In practice, we found that the quality of hypotheses in the search space is negatively affected owing to the fixed beam size. To mitigate this problem, we store all hypotheses in a single priority queue and use a universal score function for hypothesis selection. The proposed algorithm is more flexible as the discarded hypotheses can be revisited in a later step. We further design a penalty function to punish the hypotheses that tend to produce a final translation that is much longer or shorter than expected. Des"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.01830","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:40:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8vuuqTeSxs4ssXy/neKhNDi1WIBIk3vWRFff0ik0XMqkJZsXzsgWa4uKxnwMe+H7einT5z+7q9SQ8Ot6a06jBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T02:24:08.301863Z"},"content_sha256":"28b430cdf6ee5990c4fea5ccd17a117e464a7f55f6d6acaf4db3cf4f03eacfcb","schema_version":"1.0","event_id":"sha256:28b430cdf6ee5990c4fea5ccd17a117e464a7f55f6d6acaf4db3cf4f03eacfcb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LWDQVOA4TM7ZIWLJFNJ4RUMQHF/bundle.json","state_url":"https://pith.science/pith/LWDQVOA4TM7ZIWLJFNJ4RUMQHF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LWDQVOA4TM7ZIWLJFNJ4RUMQHF/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-30T02:24:08Z","links":{"resolver":"https://pith.science/pith/LWDQVOA4TM7ZIWLJFNJ4RUMQHF","bundle":"https://pith.science/pith/LWDQVOA4TM7ZIWLJFNJ4RUMQHF/bundle.json","state":"https://pith.science/pith/LWDQVOA4TM7ZIWLJFNJ4RUMQHF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LWDQVOA4TM7ZIWLJFNJ4RUMQHF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:LWDQVOA4TM7ZIWLJFNJ4RUMQHF","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":"f523e273cbdd6c18655c882683753ef1465b8f272f2c1e43dc2dece1cc65f510","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-07-06T15:12:55Z","title_canon_sha256":"f112eaa6056b523f32c001bac164e6e820664d3a1a82e7ca0175a1cbe9bf24f4"},"schema_version":"1.0","source":{"id":"1707.01830","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.01830","created_at":"2026-05-18T00:40:39Z"},{"alias_kind":"arxiv_version","alias_value":"1707.01830v2","created_at":"2026-05-18T00:40:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.01830","created_at":"2026-05-18T00:40:39Z"},{"alias_kind":"pith_short_12","alias_value":"LWDQVOA4TM7Z","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_16","alias_value":"LWDQVOA4TM7ZIWLJ","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_8","alias_value":"LWDQVOA4","created_at":"2026-05-18T12:31:28Z"}],"graph_snapshots":[{"event_id":"sha256:28b430cdf6ee5990c4fea5ccd17a117e464a7f55f6d6acaf4db3cf4f03eacfcb","target":"graph","created_at":"2026-05-18T00:40:39Z","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":"Neural machine translation models rely on the beam search algorithm for decoding. In practice, we found that the quality of hypotheses in the search space is negatively affected owing to the fixed beam size. To mitigate this problem, we store all hypotheses in a single priority queue and use a universal score function for hypothesis selection. The proposed algorithm is more flexible as the discarded hypotheses can be revisited in a later step. We further design a penalty function to punish the hypotheses that tend to produce a final translation that is much longer or shorter than expected. Des","authors_text":"Hideki Nakayama, Raphael Shu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-07-06T15:12:55Z","title":"Single-Queue Decoding for Neural Machine Translation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.01830","kind":"arxiv","version":2},"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":"sha256:00b63695574e69b38b8a13fab8000232cff852c05da8cdd906008420bf36734e","target":"record","created_at":"2026-05-18T00:40:39Z","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":"f523e273cbdd6c18655c882683753ef1465b8f272f2c1e43dc2dece1cc65f510","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-07-06T15:12:55Z","title_canon_sha256":"f112eaa6056b523f32c001bac164e6e820664d3a1a82e7ca0175a1cbe9bf24f4"},"schema_version":"1.0","source":{"id":"1707.01830","kind":"arxiv","version":2}},"canonical_sha256":"5d870ab81c9b3f9459692b53c8d19039496af5f5237e8afe1c0abfcde91c6078","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5d870ab81c9b3f9459692b53c8d19039496af5f5237e8afe1c0abfcde91c6078","first_computed_at":"2026-05-18T00:40:39.651714Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:40:39.651714Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"11E3C/TJuuU8dupcmZBwdRoxxVYeup38nTBQ+G+rqBjB40r2VRIQbR2Vr1h0JizIElmxSsKo/W7AdYL3iwYlBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:40:39.652542Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.01830","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:00b63695574e69b38b8a13fab8000232cff852c05da8cdd906008420bf36734e","sha256:28b430cdf6ee5990c4fea5ccd17a117e464a7f55f6d6acaf4db3cf4f03eacfcb"],"state_sha256":"3f3d3ee591a35ea5c240b7b48a7d251d9b6a57a08d81c8102393a900d085376f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2bBvZXUHM7985kx/RBFEDPsYYjHvH4ZrSZCCneBc9klLyz/YPVZ+vZoNLTYaD22Dfr/XWwVTZe8s79JBrz4sBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T02:24:08.304625Z","bundle_sha256":"08a9a9697138581f87769ff976fafacb43ef006fc7372e03b56156db58c43ae9"}}