{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:U3PIEKW4BW2OK53ARHNJJP5BEU","short_pith_number":"pith:U3PIEKW4","canonical_record":{"source":{"id":"1605.04809","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-16T15:34:19Z","cross_cats_sorted":[],"title_canon_sha256":"f14fbe86b22fe593f3db4c024491ade48544e9ee5ffc6fd9b32c75923edf7354","abstract_canon_sha256":"af9a460fcdd82c85426899eb07ccbd2f1c4396dd5839caaeb933f16b0c35d032"},"schema_version":"1.0"},"canonical_sha256":"a6de822adc0db4e5776089da94bfa125151ddb37ea88c7fbafc34730aa8355a7","source":{"kind":"arxiv","id":"1605.04809","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.04809","created_at":"2026-05-18T01:11:58Z"},{"alias_kind":"arxiv_version","alias_value":"1605.04809v3","created_at":"2026-05-18T01:11:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.04809","created_at":"2026-05-18T01:11:58Z"},{"alias_kind":"pith_short_12","alias_value":"U3PIEKW4BW2O","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_16","alias_value":"U3PIEKW4BW2OK53A","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_8","alias_value":"U3PIEKW4","created_at":"2026-05-18T12:30:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:U3PIEKW4BW2OK53ARHNJJP5BEU","target":"record","payload":{"canonical_record":{"source":{"id":"1605.04809","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-16T15:34:19Z","cross_cats_sorted":[],"title_canon_sha256":"f14fbe86b22fe593f3db4c024491ade48544e9ee5ffc6fd9b32c75923edf7354","abstract_canon_sha256":"af9a460fcdd82c85426899eb07ccbd2f1c4396dd5839caaeb933f16b0c35d032"},"schema_version":"1.0"},"canonical_sha256":"a6de822adc0db4e5776089da94bfa125151ddb37ea88c7fbafc34730aa8355a7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:11:58.876763Z","signature_b64":"zGSpJWfuAFWbT1/X4gK2qTnqo1zdtXfUk5IZyA/TB2D9joYlP+++xsPEIG9/zEul7YnyvtrmMSu0JPJRrFM5BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a6de822adc0db4e5776089da94bfa125151ddb37ea88c7fbafc34730aa8355a7","last_reissued_at":"2026-05-18T01:11:58.876416Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:11:58.876416Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1605.04809","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":"2026-05-18T01:11:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SYbeZlLCPERg+dSCjQ3xAyqDJWJVcXDNf7IlN1ioA+RCME7QqKl+yDnSPgFS9GxMRt+I4b2pD31bGMkNTU3pAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T04:27:00.532794Z"},"content_sha256":"88658b4cd376d23a7362a5daac21a3e70859e83a4a0a7b733664745f9abe767d","schema_version":"1.0","event_id":"sha256:88658b4cd376d23a7362a5daac21a3e70859e83a4a0a7b733664745f9abe767d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:U3PIEKW4BW2OK53ARHNJJP5BEU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The AMU-UEDIN Submission to the WMT16 News Translation Task: Attention-based NMT Models as Feature Functions in Phrase-based SMT","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Marcin Junczys-Dowmunt, Rico Sennrich, Tomasz Dwojak","submitted_at":"2016-05-16T15:34:19Z","abstract_excerpt":"This paper describes the AMU-UEDIN submissions to the WMT 2016 shared task on news translation. We explore methods of decode-time integration of attention-based neural translation models with phrase-based statistical machine translation. Efficient batch-algorithms for GPU-querying are proposed and implemented. For English-Russian, our system stays behind the state-of-the-art pure neural models in terms of BLEU. Among restricted systems, manual evaluation places it in the first cluster tied with the pure neural model. For the Russian-English task, our submission achieves the top BLEU result, ou"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.04809","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":"2026-05-18T01:11:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L0qo9Yssz2+Rqn4R8fcJ+ghesORyF2JvRYuA0Gu25qR5Oe8sLH4WLUhSAChPJfpDobyK3bgTT/PTgmY4sIZ+BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T04:27:00.533151Z"},"content_sha256":"ce88db5bc20a4f46d2d140a1f49941d368faa3fa78872555ac14d47969b7b542","schema_version":"1.0","event_id":"sha256:ce88db5bc20a4f46d2d140a1f49941d368faa3fa78872555ac14d47969b7b542"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U3PIEKW4BW2OK53ARHNJJP5BEU/bundle.json","state_url":"https://pith.science/pith/U3PIEKW4BW2OK53ARHNJJP5BEU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U3PIEKW4BW2OK53ARHNJJP5BEU/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":"2026-06-04T04:27:00Z","links":{"resolver":"https://pith.science/pith/U3PIEKW4BW2OK53ARHNJJP5BEU","bundle":"https://pith.science/pith/U3PIEKW4BW2OK53ARHNJJP5BEU/bundle.json","state":"https://pith.science/pith/U3PIEKW4BW2OK53ARHNJJP5BEU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U3PIEKW4BW2OK53ARHNJJP5BEU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:U3PIEKW4BW2OK53ARHNJJP5BEU","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":"af9a460fcdd82c85426899eb07ccbd2f1c4396dd5839caaeb933f16b0c35d032","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-16T15:34:19Z","title_canon_sha256":"f14fbe86b22fe593f3db4c024491ade48544e9ee5ffc6fd9b32c75923edf7354"},"schema_version":"1.0","source":{"id":"1605.04809","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.04809","created_at":"2026-05-18T01:11:58Z"},{"alias_kind":"arxiv_version","alias_value":"1605.04809v3","created_at":"2026-05-18T01:11:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.04809","created_at":"2026-05-18T01:11:58Z"},{"alias_kind":"pith_short_12","alias_value":"U3PIEKW4BW2O","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_16","alias_value":"U3PIEKW4BW2OK53A","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_8","alias_value":"U3PIEKW4","created_at":"2026-05-18T12:30:46Z"}],"graph_snapshots":[{"event_id":"sha256:ce88db5bc20a4f46d2d140a1f49941d368faa3fa78872555ac14d47969b7b542","target":"graph","created_at":"2026-05-18T01:11:58Z","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":"This paper describes the AMU-UEDIN submissions to the WMT 2016 shared task on news translation. We explore methods of decode-time integration of attention-based neural translation models with phrase-based statistical machine translation. Efficient batch-algorithms for GPU-querying are proposed and implemented. For English-Russian, our system stays behind the state-of-the-art pure neural models in terms of BLEU. Among restricted systems, manual evaluation places it in the first cluster tied with the pure neural model. For the Russian-English task, our submission achieves the top BLEU result, ou","authors_text":"Marcin Junczys-Dowmunt, Rico Sennrich, Tomasz Dwojak","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-16T15:34:19Z","title":"The AMU-UEDIN Submission to the WMT16 News Translation Task: Attention-based NMT Models as Feature Functions in Phrase-based SMT"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.04809","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":"sha256:88658b4cd376d23a7362a5daac21a3e70859e83a4a0a7b733664745f9abe767d","target":"record","created_at":"2026-05-18T01:11:58Z","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":"af9a460fcdd82c85426899eb07ccbd2f1c4396dd5839caaeb933f16b0c35d032","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-16T15:34:19Z","title_canon_sha256":"f14fbe86b22fe593f3db4c024491ade48544e9ee5ffc6fd9b32c75923edf7354"},"schema_version":"1.0","source":{"id":"1605.04809","kind":"arxiv","version":3}},"canonical_sha256":"a6de822adc0db4e5776089da94bfa125151ddb37ea88c7fbafc34730aa8355a7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a6de822adc0db4e5776089da94bfa125151ddb37ea88c7fbafc34730aa8355a7","first_computed_at":"2026-05-18T01:11:58.876416Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:11:58.876416Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zGSpJWfuAFWbT1/X4gK2qTnqo1zdtXfUk5IZyA/TB2D9joYlP+++xsPEIG9/zEul7YnyvtrmMSu0JPJRrFM5BQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:11:58.876763Z","signed_message":"canonical_sha256_bytes"},"source_id":"1605.04809","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:88658b4cd376d23a7362a5daac21a3e70859e83a4a0a7b733664745f9abe767d","sha256:ce88db5bc20a4f46d2d140a1f49941d368faa3fa78872555ac14d47969b7b542"],"state_sha256":"dd13c10aa48bc201faaa41dccda09bebabdd487d43e56bcd34d3efacf0fc70bf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"taApHAMZe1V4M1H7WKRldegeguVKpnuY3GQtw+4fMLWoSlwy4Wo3PrnuA9DjX2IDxY6flH3FAQ1G+rHKc2w1AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T04:27:00.535403Z","bundle_sha256":"df8872b57dc6042cab184eac71ab2cef95b73076a9c92046343aa2730ab7054f"}}