{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:5P6F3SS7MC2OCH5ONXSQFK2GYM","short_pith_number":"pith:5P6F3SS7","canonical_record":{"source":{"id":"1610.00388","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-10-03T02:11:03Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"97244ce26afc72d81dcaa2bf08086bcdb6e242da4276b3fe6e8e2b107ae33ab6","abstract_canon_sha256":"b2a91f57d365dba88edb672d4306633a91c3c90a1c902fcb507b82e9b4544951"},"schema_version":"1.0"},"canonical_sha256":"ebfc5dca5f60b4e11fae6de502ab46c32bd5b5546bd3148617f0cfc65ec57a5b","source":{"kind":"arxiv","id":"1610.00388","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.00388","created_at":"2026-05-18T00:53:02Z"},{"alias_kind":"arxiv_version","alias_value":"1610.00388v3","created_at":"2026-05-18T00:53:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.00388","created_at":"2026-05-18T00:53:02Z"},{"alias_kind":"pith_short_12","alias_value":"5P6F3SS7MC2O","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_16","alias_value":"5P6F3SS7MC2OCH5O","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_8","alias_value":"5P6F3SS7","created_at":"2026-05-18T12:30:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:5P6F3SS7MC2OCH5ONXSQFK2GYM","target":"record","payload":{"canonical_record":{"source":{"id":"1610.00388","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-10-03T02:11:03Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"97244ce26afc72d81dcaa2bf08086bcdb6e242da4276b3fe6e8e2b107ae33ab6","abstract_canon_sha256":"b2a91f57d365dba88edb672d4306633a91c3c90a1c902fcb507b82e9b4544951"},"schema_version":"1.0"},"canonical_sha256":"ebfc5dca5f60b4e11fae6de502ab46c32bd5b5546bd3148617f0cfc65ec57a5b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:53:02.238331Z","signature_b64":"hLZD6AJLOIQxB4/RrjX6Bu3JCVu8eV3jL56SfqaFtjJXq599KxzngVsg1O/dYUMbu13qtnXgmHTVI9KstM8yCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ebfc5dca5f60b4e11fae6de502ab46c32bd5b5546bd3148617f0cfc65ec57a5b","last_reissued_at":"2026-05-18T00:53:02.237581Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:53:02.237581Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1610.00388","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:53:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Lt4BtWFY8qNTDX9MIMpjJ4ipY7Y3z0QnlZB6FR6FapvbUUfMKVZfjyoXhZL6rWZfDhwOLiBtaXsS0GgrgVsOAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T04:43:36.128349Z"},"content_sha256":"9c1931992ffe76747a755b71fe88966b38b016bb17959c93645d676398765483","schema_version":"1.0","event_id":"sha256:9c1931992ffe76747a755b71fe88966b38b016bb17959c93645d676398765483"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:5P6F3SS7MC2OCH5ONXSQFK2GYM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning to Translate in Real-time with Neural Machine Translation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Graham Neubig, Jiatao Gu, Kyunghyun Cho, Victor O.K. Li","submitted_at":"2016-10-03T02:11:03Z","abstract_excerpt":"Translating in real-time, a.k.a. simultaneous translation, outputs translation words before the input sentence ends, which is a challenging problem for conventional machine translation methods. We propose a neural machine translation (NMT) framework for simultaneous translation in which an agent learns to make decisions on when to translate from the interaction with a pre-trained NMT environment. To trade off quality and delay, we extensively explore various targets for delay and design a method for beam-search applicable in the simultaneous MT setting. Experiments against state-of-the-art bas"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.00388","kind":"arxiv","version":3},"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":"2026-05-18T00:53:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0I8aG9Iyru+KZL2y3HbYphUV0HyYDBPufy3B3Cv5MGRsfECaWG3nMIkCI3L9HcTgOj9DWo5wrtL9xaWenw1KDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T04:43:36.128966Z"},"content_sha256":"b92249b7eab902c2c1af62a05021158d0cfc42e219d242527f94112447fb2411","schema_version":"1.0","event_id":"sha256:b92249b7eab902c2c1af62a05021158d0cfc42e219d242527f94112447fb2411"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5P6F3SS7MC2OCH5ONXSQFK2GYM/bundle.json","state_url":"https://pith.science/pith/5P6F3SS7MC2OCH5ONXSQFK2GYM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5P6F3SS7MC2OCH5ONXSQFK2GYM/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":"2026-05-27T04:43:36Z","links":{"resolver":"https://pith.science/pith/5P6F3SS7MC2OCH5ONXSQFK2GYM","bundle":"https://pith.science/pith/5P6F3SS7MC2OCH5ONXSQFK2GYM/bundle.json","state":"https://pith.science/pith/5P6F3SS7MC2OCH5ONXSQFK2GYM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5P6F3SS7MC2OCH5ONXSQFK2GYM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:5P6F3SS7MC2OCH5ONXSQFK2GYM","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":"b2a91f57d365dba88edb672d4306633a91c3c90a1c902fcb507b82e9b4544951","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-10-03T02:11:03Z","title_canon_sha256":"97244ce26afc72d81dcaa2bf08086bcdb6e242da4276b3fe6e8e2b107ae33ab6"},"schema_version":"1.0","source":{"id":"1610.00388","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.00388","created_at":"2026-05-18T00:53:02Z"},{"alias_kind":"arxiv_version","alias_value":"1610.00388v3","created_at":"2026-05-18T00:53:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.00388","created_at":"2026-05-18T00:53:02Z"},{"alias_kind":"pith_short_12","alias_value":"5P6F3SS7MC2O","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_16","alias_value":"5P6F3SS7MC2OCH5O","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_8","alias_value":"5P6F3SS7","created_at":"2026-05-18T12:30:01Z"}],"graph_snapshots":[{"event_id":"sha256:b92249b7eab902c2c1af62a05021158d0cfc42e219d242527f94112447fb2411","target":"graph","created_at":"2026-05-18T00:53:02Z","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":"Translating in real-time, a.k.a. simultaneous translation, outputs translation words before the input sentence ends, which is a challenging problem for conventional machine translation methods. We propose a neural machine translation (NMT) framework for simultaneous translation in which an agent learns to make decisions on when to translate from the interaction with a pre-trained NMT environment. To trade off quality and delay, we extensively explore various targets for delay and design a method for beam-search applicable in the simultaneous MT setting. Experiments against state-of-the-art bas","authors_text":"Graham Neubig, 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":"2016-10-03T02:11:03Z","title":"Learning to Translate in Real-time with Neural Machine Translation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.00388","kind":"arxiv","version":3},"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":"sha256:9c1931992ffe76747a755b71fe88966b38b016bb17959c93645d676398765483","target":"record","created_at":"2026-05-18T00:53:02Z","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":"b2a91f57d365dba88edb672d4306633a91c3c90a1c902fcb507b82e9b4544951","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-10-03T02:11:03Z","title_canon_sha256":"97244ce26afc72d81dcaa2bf08086bcdb6e242da4276b3fe6e8e2b107ae33ab6"},"schema_version":"1.0","source":{"id":"1610.00388","kind":"arxiv","version":3}},"canonical_sha256":"ebfc5dca5f60b4e11fae6de502ab46c32bd5b5546bd3148617f0cfc65ec57a5b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ebfc5dca5f60b4e11fae6de502ab46c32bd5b5546bd3148617f0cfc65ec57a5b","first_computed_at":"2026-05-18T00:53:02.237581Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:53:02.237581Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hLZD6AJLOIQxB4/RrjX6Bu3JCVu8eV3jL56SfqaFtjJXq599KxzngVsg1O/dYUMbu13qtnXgmHTVI9KstM8yCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:53:02.238331Z","signed_message":"canonical_sha256_bytes"},"source_id":"1610.00388","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9c1931992ffe76747a755b71fe88966b38b016bb17959c93645d676398765483","sha256:b92249b7eab902c2c1af62a05021158d0cfc42e219d242527f94112447fb2411"],"state_sha256":"aa3b2505fdc10025a28a4f1da8ec5a8d295d20db036b4eea9943252793a84801"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LHA/QNHVsRAhe2hPxlAJCylZfieuXqvtep0XeKk3YI59AEHWitaJRO01DXHfUuLhL6t7umXySUa+O7tVxmuBCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T04:43:36.131939Z","bundle_sha256":"cbf5cc06f2516f167a105877675f5b4cf95141b96a65640f1b96f28df27549e1"}}