{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:EUYUVUZ4R2MDBPXIHY4N6V4I6N","short_pith_number":"pith:EUYUVUZ4","canonical_record":{"source":{"id":"1612.06139","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-12-19T11:50:58Z","cross_cats_sorted":[],"title_canon_sha256":"b6264f5a2a1b0ad886480c4d62bd9dd81113b04e63a708cc046f4610f79b1061","abstract_canon_sha256":"7d3d4751609fcc10a5f4299b4a1080497e8d1b4a57ba7d713de5baee0fb38ffa"},"schema_version":"1.0"},"canonical_sha256":"25314ad33c8e9830bee83e38df5788f36a81bf1e064986261ca56f5ac6f2ab9b","source":{"kind":"arxiv","id":"1612.06139","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.06139","created_at":"2026-05-18T00:54:45Z"},{"alias_kind":"arxiv_version","alias_value":"1612.06139v1","created_at":"2026-05-18T00:54:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.06139","created_at":"2026-05-18T00:54:45Z"},{"alias_kind":"pith_short_12","alias_value":"EUYUVUZ4R2MD","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_16","alias_value":"EUYUVUZ4R2MDBPXI","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_8","alias_value":"EUYUVUZ4","created_at":"2026-05-18T12:30:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:EUYUVUZ4R2MDBPXIHY4N6V4I6N","target":"record","payload":{"canonical_record":{"source":{"id":"1612.06139","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-12-19T11:50:58Z","cross_cats_sorted":[],"title_canon_sha256":"b6264f5a2a1b0ad886480c4d62bd9dd81113b04e63a708cc046f4610f79b1061","abstract_canon_sha256":"7d3d4751609fcc10a5f4299b4a1080497e8d1b4a57ba7d713de5baee0fb38ffa"},"schema_version":"1.0"},"canonical_sha256":"25314ad33c8e9830bee83e38df5788f36a81bf1e064986261ca56f5ac6f2ab9b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:54:45.849536Z","signature_b64":"x1VPef9zI7ZEz06XcWKQ9QVtHREkHjWo4uoUI5Qgf6uMN+6qdXICFsddmXmxZ4rty8Ic/bmSXHKk+Db3s69PBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"25314ad33c8e9830bee83e38df5788f36a81bf1e064986261ca56f5ac6f2ab9b","last_reissued_at":"2026-05-18T00:54:45.849170Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:54:45.849170Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1612.06139","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:54:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jtF8ukjscmNBqMB7ZaWUgcxpeBgJ0ra8TcWQ3zGMmmhDwQ0f6I72t16Op8gUm/SC8almuvCZsLaa0iHdcZ5ADg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T19:54:44.071953Z"},"content_sha256":"8f879f06dd09ad8e486b85e90ca2d0ea77ff89413e5d4e9a549e218a32582266","schema_version":"1.0","event_id":"sha256:8f879f06dd09ad8e486b85e90ca2d0ea77ff89413e5d4e9a549e218a32582266"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:EUYUVUZ4R2MDBPXIHY4N6V4I6N","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neural Machine Translation from Simplified Translations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jean Senellart, Josep Crego","submitted_at":"2016-12-19T11:50:58Z","abstract_excerpt":"Text simplification aims at reducing the lexical, grammatical and structural complexity of a text while keeping the same meaning. In the context of machine translation, we introduce the idea of simplified translations in order to boost the learning ability of deep neural translation models. We conduct preliminary experiments showing that translation complexity is actually reduced in a translation of a source bi-text compared to the target reference of the bi-text while using a neural machine translation (NMT) system learned on the exact same bi-text. Based on knowledge distillation idea, we th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.06139","kind":"arxiv","version":1},"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":"2026-05-18T00:54:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OlNRjzzxs6abSKznAyRv7XJgWMY2W5wccszYes1KQu/6fDPkB4fO+IAIM9cHBj9wGvRwL92umnPT256gobSVDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T19:54:44.072288Z"},"content_sha256":"05ab708f13613de58d1980bc915602361d8a66b49c5b2516336b74ef9a82f037","schema_version":"1.0","event_id":"sha256:05ab708f13613de58d1980bc915602361d8a66b49c5b2516336b74ef9a82f037"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EUYUVUZ4R2MDBPXIHY4N6V4I6N/bundle.json","state_url":"https://pith.science/pith/EUYUVUZ4R2MDBPXIHY4N6V4I6N/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EUYUVUZ4R2MDBPXIHY4N6V4I6N/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":"2026-06-02T19:54:44Z","links":{"resolver":"https://pith.science/pith/EUYUVUZ4R2MDBPXIHY4N6V4I6N","bundle":"https://pith.science/pith/EUYUVUZ4R2MDBPXIHY4N6V4I6N/bundle.json","state":"https://pith.science/pith/EUYUVUZ4R2MDBPXIHY4N6V4I6N/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EUYUVUZ4R2MDBPXIHY4N6V4I6N/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:EUYUVUZ4R2MDBPXIHY4N6V4I6N","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":"7d3d4751609fcc10a5f4299b4a1080497e8d1b4a57ba7d713de5baee0fb38ffa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-12-19T11:50:58Z","title_canon_sha256":"b6264f5a2a1b0ad886480c4d62bd9dd81113b04e63a708cc046f4610f79b1061"},"schema_version":"1.0","source":{"id":"1612.06139","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.06139","created_at":"2026-05-18T00:54:45Z"},{"alias_kind":"arxiv_version","alias_value":"1612.06139v1","created_at":"2026-05-18T00:54:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.06139","created_at":"2026-05-18T00:54:45Z"},{"alias_kind":"pith_short_12","alias_value":"EUYUVUZ4R2MD","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_16","alias_value":"EUYUVUZ4R2MDBPXI","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_8","alias_value":"EUYUVUZ4","created_at":"2026-05-18T12:30:15Z"}],"graph_snapshots":[{"event_id":"sha256:05ab708f13613de58d1980bc915602361d8a66b49c5b2516336b74ef9a82f037","target":"graph","created_at":"2026-05-18T00:54:45Z","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":"Text simplification aims at reducing the lexical, grammatical and structural complexity of a text while keeping the same meaning. In the context of machine translation, we introduce the idea of simplified translations in order to boost the learning ability of deep neural translation models. We conduct preliminary experiments showing that translation complexity is actually reduced in a translation of a source bi-text compared to the target reference of the bi-text while using a neural machine translation (NMT) system learned on the exact same bi-text. Based on knowledge distillation idea, we th","authors_text":"Jean Senellart, Josep Crego","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-12-19T11:50:58Z","title":"Neural Machine Translation from Simplified Translations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.06139","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":"sha256:8f879f06dd09ad8e486b85e90ca2d0ea77ff89413e5d4e9a549e218a32582266","target":"record","created_at":"2026-05-18T00:54:45Z","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":"7d3d4751609fcc10a5f4299b4a1080497e8d1b4a57ba7d713de5baee0fb38ffa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-12-19T11:50:58Z","title_canon_sha256":"b6264f5a2a1b0ad886480c4d62bd9dd81113b04e63a708cc046f4610f79b1061"},"schema_version":"1.0","source":{"id":"1612.06139","kind":"arxiv","version":1}},"canonical_sha256":"25314ad33c8e9830bee83e38df5788f36a81bf1e064986261ca56f5ac6f2ab9b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"25314ad33c8e9830bee83e38df5788f36a81bf1e064986261ca56f5ac6f2ab9b","first_computed_at":"2026-05-18T00:54:45.849170Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:54:45.849170Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x1VPef9zI7ZEz06XcWKQ9QVtHREkHjWo4uoUI5Qgf6uMN+6qdXICFsddmXmxZ4rty8Ic/bmSXHKk+Db3s69PBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:54:45.849536Z","signed_message":"canonical_sha256_bytes"},"source_id":"1612.06139","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8f879f06dd09ad8e486b85e90ca2d0ea77ff89413e5d4e9a549e218a32582266","sha256:05ab708f13613de58d1980bc915602361d8a66b49c5b2516336b74ef9a82f037"],"state_sha256":"33ddfe1a255d39e116a0e657bf3e2b9f5b405a33c51add353abbdac14217449a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MWXMN2YbtFxZ24gNNHGiWv11owDbAWbPohMp+6LMn+W7UfJVJS1IAJumIW4V/8OlAmOZyU2sM2NlkZCgxE8TDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T19:54:44.074160Z","bundle_sha256":"89b8ec385d9f7f5384a3479dacf86fb8e082504af56b2f184004c5d7e39be85d"}}