{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:XFDYYPZJLXWGSM3NRVTIB66AZ6","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":"e58e6e7aad25a34333201cabed4f17479b94d0f0fb59803553f6dbf8ae3d45fa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-10-16T10:54:23Z","title_canon_sha256":"50ab8cbaef1f43607decbd2c6aeccf8e4ed17b9aa2850457b40b030119ae89a5"},"schema_version":"1.0","source":{"id":"1610.04841","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.04841","created_at":"2026-05-18T01:01:30Z"},{"alias_kind":"arxiv_version","alias_value":"1610.04841v2","created_at":"2026-05-18T01:01:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.04841","created_at":"2026-05-18T01:01:30Z"},{"alias_kind":"pith_short_12","alias_value":"XFDYYPZJLXWG","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_16","alias_value":"XFDYYPZJLXWGSM3N","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_8","alias_value":"XFDYYPZJ","created_at":"2026-05-18T12:30:51Z"}],"graph_snapshots":[{"event_id":"sha256:e2f9df6c7c4d412601673591365237d37428b18ab633426073bb3194a91be141","target":"graph","created_at":"2026-05-18T01:01:30Z","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 our submission to the shared task on word/phrase level Quality Estimation (QE) in the First Conference on Statistical Machine Translation (WMT16). The objective of the shared task was to predict if the given word/phrase is a correct/incorrect (OK/BAD) translation in the given sentence. In this paper, we propose a novel approach for word level Quality Estimation using Recurrent Neural Network Language Model (RNN-LM) architecture. RNN-LMs have been found very effective in different Natural Language Processing (NLP) applications. RNN-LM is mainly used for vector space languag","authors_text":"Raj Nath Patel, Sasikumar M","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-10-16T10:54:23Z","title":"Translation Quality Estimation using Recurrent Neural Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.04841","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:c6db9386024029d933e99d3daf2b389ca4f3a9e3945e30be43aff6bac22901b7","target":"record","created_at":"2026-05-18T01:01:30Z","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":"e58e6e7aad25a34333201cabed4f17479b94d0f0fb59803553f6dbf8ae3d45fa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-10-16T10:54:23Z","title_canon_sha256":"50ab8cbaef1f43607decbd2c6aeccf8e4ed17b9aa2850457b40b030119ae89a5"},"schema_version":"1.0","source":{"id":"1610.04841","kind":"arxiv","version":2}},"canonical_sha256":"b9478c3f295dec69336d8d6680fbc0cf9dddea063b183994e6da96aacade846c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b9478c3f295dec69336d8d6680fbc0cf9dddea063b183994e6da96aacade846c","first_computed_at":"2026-05-18T01:01:30.743375Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:01:30.743375Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"S5MnIS3AETDpfvJLKjnA4v+hWP3VM7dzh7WDpZ8fpJW+He1RhfF3jS5iSRp/TAO2zPzP+vhA/nS7D9LRGe05CQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:01:30.743813Z","signed_message":"canonical_sha256_bytes"},"source_id":"1610.04841","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c6db9386024029d933e99d3daf2b389ca4f3a9e3945e30be43aff6bac22901b7","sha256:e2f9df6c7c4d412601673591365237d37428b18ab633426073bb3194a91be141"],"state_sha256":"2aa8c286e18b130a11644bfc81b0453dcff9f1b64865f88b55b885ac73803d26"}