{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:IJMIHK6ZBE7BFAPF6EBV77JUXH","short_pith_number":"pith:IJMIHK6Z","canonical_record":{"source":{"id":"1612.06140","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-12-19T11:51:35Z","cross_cats_sorted":[],"title_canon_sha256":"92bd013f270393fd4a4b508c1739f6bb532bf9499ba3d06870f26270ca2ff1fa","abstract_canon_sha256":"6aed949e305ed9fcefdfaa9ca94371e2ebb9534b872690a1d7bc6256e76872c9"},"schema_version":"1.0"},"canonical_sha256":"425883abd9093e1281e5f1035ffd34b9ded62bc25a54c7e3572b87cf69266a30","source":{"kind":"arxiv","id":"1612.06140","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.06140","created_at":"2026-05-18T00:35:35Z"},{"alias_kind":"arxiv_version","alias_value":"1612.06140v2","created_at":"2026-05-18T00:35:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.06140","created_at":"2026-05-18T00:35:35Z"},{"alias_kind":"pith_short_12","alias_value":"IJMIHK6ZBE7B","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_16","alias_value":"IJMIHK6ZBE7BFAPF","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_8","alias_value":"IJMIHK6Z","created_at":"2026-05-18T12:30:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:IJMIHK6ZBE7BFAPF6EBV77JUXH","target":"record","payload":{"canonical_record":{"source":{"id":"1612.06140","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-12-19T11:51:35Z","cross_cats_sorted":[],"title_canon_sha256":"92bd013f270393fd4a4b508c1739f6bb532bf9499ba3d06870f26270ca2ff1fa","abstract_canon_sha256":"6aed949e305ed9fcefdfaa9ca94371e2ebb9534b872690a1d7bc6256e76872c9"},"schema_version":"1.0"},"canonical_sha256":"425883abd9093e1281e5f1035ffd34b9ded62bc25a54c7e3572b87cf69266a30","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:35:35.125096Z","signature_b64":"Wx9pxh51DM29R+8BJlW0kuJ6cxPWq1OZ92JSAIeSdRIV3eoiAYreyzqnT4nr7sRpDwx/iZKb16q6X8GgHEkqBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"425883abd9093e1281e5f1035ffd34b9ded62bc25a54c7e3572b87cf69266a30","last_reissued_at":"2026-05-18T00:35:35.124600Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:35:35.124600Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1612.06140","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":"2026-05-18T00:35:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MyC0tuNE6rTQao3/M0hDqy3bWZgFdKLB5skx6Qrs4aIpM/QgLM2UI5VB1OQ4+1zzYEZ/0X56NRp4MTtRzeneCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-18T19:45:30.357772Z"},"content_sha256":"9269a79597e5f4cb931c064be62c7c09a9e2e0371092da35b30ee3d1238c9ca5","schema_version":"1.0","event_id":"sha256:9269a79597e5f4cb931c064be62c7c09a9e2e0371092da35b30ee3d1238c9ca5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:IJMIHK6ZBE7BFAPF6EBV77JUXH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Domain Control for Neural Machine Translation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Catherine Kobus, Jean Senellart, Josep Crego","submitted_at":"2016-12-19T11:51:35Z","abstract_excerpt":"Machine translation systems are very sensitive to the domains they were trained on. Several domain adaptation techniques have been deeply studied. We propose a new technique for neural machine translation (NMT) that we call domain control which is performed at runtime using a unique neural network covering multiple domains. The presented approach shows quality improvements when compared to dedicated domains translating on any of the covered domains and even on out-of-domain data. In addition, model parameters do not need to be re-estimated for each domain, making this effective to real use cas"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.06140","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":"2026-05-18T00:35:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Sj8spa1bseFn0FZc1HYmFd2FF+TPUDybjuR4m5jnjKKTGDUamkbGQUrucCD2LA8QFgEWyyeHv9X1QYg9vtFpDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-18T19:45:30.358421Z"},"content_sha256":"15d0d75ef4b983e5bce107970bcc7fd82bd8b0a9f4388af8d9afc4deb33a8eef","schema_version":"1.0","event_id":"sha256:15d0d75ef4b983e5bce107970bcc7fd82bd8b0a9f4388af8d9afc4deb33a8eef"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IJMIHK6ZBE7BFAPF6EBV77JUXH/bundle.json","state_url":"https://pith.science/pith/IJMIHK6ZBE7BFAPF6EBV77JUXH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IJMIHK6ZBE7BFAPF6EBV77JUXH/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":"2026-05-18T19:45:30Z","links":{"resolver":"https://pith.science/pith/IJMIHK6ZBE7BFAPF6EBV77JUXH","bundle":"https://pith.science/pith/IJMIHK6ZBE7BFAPF6EBV77JUXH/bundle.json","state":"https://pith.science/pith/IJMIHK6ZBE7BFAPF6EBV77JUXH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IJMIHK6ZBE7BFAPF6EBV77JUXH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:IJMIHK6ZBE7BFAPF6EBV77JUXH","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":"6aed949e305ed9fcefdfaa9ca94371e2ebb9534b872690a1d7bc6256e76872c9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-12-19T11:51:35Z","title_canon_sha256":"92bd013f270393fd4a4b508c1739f6bb532bf9499ba3d06870f26270ca2ff1fa"},"schema_version":"1.0","source":{"id":"1612.06140","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.06140","created_at":"2026-05-18T00:35:35Z"},{"alias_kind":"arxiv_version","alias_value":"1612.06140v2","created_at":"2026-05-18T00:35:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.06140","created_at":"2026-05-18T00:35:35Z"},{"alias_kind":"pith_short_12","alias_value":"IJMIHK6ZBE7B","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_16","alias_value":"IJMIHK6ZBE7BFAPF","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_8","alias_value":"IJMIHK6Z","created_at":"2026-05-18T12:30:22Z"}],"graph_snapshots":[{"event_id":"sha256:15d0d75ef4b983e5bce107970bcc7fd82bd8b0a9f4388af8d9afc4deb33a8eef","target":"graph","created_at":"2026-05-18T00:35:35Z","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":"Machine translation systems are very sensitive to the domains they were trained on. Several domain adaptation techniques have been deeply studied. We propose a new technique for neural machine translation (NMT) that we call domain control which is performed at runtime using a unique neural network covering multiple domains. The presented approach shows quality improvements when compared to dedicated domains translating on any of the covered domains and even on out-of-domain data. In addition, model parameters do not need to be re-estimated for each domain, making this effective to real use cas","authors_text":"Catherine Kobus, Jean Senellart, Josep Crego","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-12-19T11:51:35Z","title":"Domain Control for Neural Machine Translation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.06140","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":"sha256:9269a79597e5f4cb931c064be62c7c09a9e2e0371092da35b30ee3d1238c9ca5","target":"record","created_at":"2026-05-18T00:35:35Z","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":"6aed949e305ed9fcefdfaa9ca94371e2ebb9534b872690a1d7bc6256e76872c9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-12-19T11:51:35Z","title_canon_sha256":"92bd013f270393fd4a4b508c1739f6bb532bf9499ba3d06870f26270ca2ff1fa"},"schema_version":"1.0","source":{"id":"1612.06140","kind":"arxiv","version":2}},"canonical_sha256":"425883abd9093e1281e5f1035ffd34b9ded62bc25a54c7e3572b87cf69266a30","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"425883abd9093e1281e5f1035ffd34b9ded62bc25a54c7e3572b87cf69266a30","first_computed_at":"2026-05-18T00:35:35.124600Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:35:35.124600Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Wx9pxh51DM29R+8BJlW0kuJ6cxPWq1OZ92JSAIeSdRIV3eoiAYreyzqnT4nr7sRpDwx/iZKb16q6X8GgHEkqBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:35:35.125096Z","signed_message":"canonical_sha256_bytes"},"source_id":"1612.06140","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9269a79597e5f4cb931c064be62c7c09a9e2e0371092da35b30ee3d1238c9ca5","sha256:15d0d75ef4b983e5bce107970bcc7fd82bd8b0a9f4388af8d9afc4deb33a8eef"],"state_sha256":"ca937a978169601dc603d2114f2eff9aafbf891ed7500bbad81b77705370b816"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Rr3rS5VM/9ya+79la5gQHAk3wUlvIsIlkWR8GuD2HwsYvpSqGqzBy0XRcebK8FTozOuynTOJK24IM3Pq622nBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-18T19:45:30.360505Z","bundle_sha256":"9bd93a836830229e78df5a98263c190a1a89800e53a07f486aa5bc5b289a64c9"}}