{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:JQHQYN7JQWDRQATQOVX4OZ4S4P","short_pith_number":"pith:JQHQYN7J","canonical_record":{"source":{"id":"1605.04800","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-16T15:15:05Z","cross_cats_sorted":[],"title_canon_sha256":"74d121e1d2c2888797d37a57bf177081f4428bd94066cfa32ae31f65bd53efc7","abstract_canon_sha256":"03d277eb8bdf96fa11901091010c9481adbbf7f2fd4877e50004d67f5abd4d65"},"schema_version":"1.0"},"canonical_sha256":"4c0f0c37e98587180270756fc76792e3cbcc94bc1da3eeea8c05696defbe6a2d","source":{"kind":"arxiv","id":"1605.04800","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.04800","created_at":"2026-05-18T01:11:58Z"},{"alias_kind":"arxiv_version","alias_value":"1605.04800v2","created_at":"2026-05-18T01:11:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.04800","created_at":"2026-05-18T01:11:58Z"},{"alias_kind":"pith_short_12","alias_value":"JQHQYN7JQWDR","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_16","alias_value":"JQHQYN7JQWDRQATQ","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_8","alias_value":"JQHQYN7J","created_at":"2026-05-18T12:30:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:JQHQYN7JQWDRQATQOVX4OZ4S4P","target":"record","payload":{"canonical_record":{"source":{"id":"1605.04800","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-16T15:15:05Z","cross_cats_sorted":[],"title_canon_sha256":"74d121e1d2c2888797d37a57bf177081f4428bd94066cfa32ae31f65bd53efc7","abstract_canon_sha256":"03d277eb8bdf96fa11901091010c9481adbbf7f2fd4877e50004d67f5abd4d65"},"schema_version":"1.0"},"canonical_sha256":"4c0f0c37e98587180270756fc76792e3cbcc94bc1da3eeea8c05696defbe6a2d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:11:58.881879Z","signature_b64":"LLVw0v6g38AOmaL277dKwS5IQ64wfUKfFtqjc/gb8cIH3MVNnHSkLLk9IXnfjUUgm9SxTuJxGDsqwO5fvJSkBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4c0f0c37e98587180270756fc76792e3cbcc94bc1da3eeea8c05696defbe6a2d","last_reissued_at":"2026-05-18T01:11:58.881530Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:11:58.881530Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1605.04800","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":"2026-05-18T01:11:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9LVE8WDEOXQdlX/Nf4X//LLdTSCRw0wDJil45PZ/H5/B/ge1xE6mNkogtqkbhvIqE8OZuQRyBkb7PlCNm1jbAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T01:32:19.398702Z"},"content_sha256":"4ba276f88a3a4780f100d43ed9586d46cd1ea08dda93926ad11e043fd419b444","schema_version":"1.0","event_id":"sha256:4ba276f88a3a4780f100d43ed9586d46cd1ea08dda93926ad11e043fd419b444"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:JQHQYN7JQWDRQATQOVX4OZ4S4P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Log-linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post-Editing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Marcin Junczys-Dowmunt, Roman Grundkiewicz","submitted_at":"2016-05-16T15:15:05Z","abstract_excerpt":"This paper describes the submission of the AMU (Adam Mickiewicz University) team to the Automatic Post-Editing (APE) task of WMT 2016. We explore the application of neural translation models to the APE problem and achieve good results by treating different models as components in a log-linear model, allowing for multiple inputs (the MT-output and the source) that are decoded to the same target language (post-edited translations). A simple string-matching penalty integrated within the log-linear model is used to control for higher faithfulness with regard to the raw machine translation output. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.04800","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":"2026-05-18T01:11:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mPRjuXd4p+Dmmh+niHwVKE4XG6/4G/q6DUmNHyV7Pv2OUwDYTFQp0CLhelHb0REPCvhv4k8lNKLI8n8b0ubMCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T01:32:19.399112Z"},"content_sha256":"aeb6b912a2802774f5c7826db5f32e3ca1ecf3880db15406bc9aa6065b680fde","schema_version":"1.0","event_id":"sha256:aeb6b912a2802774f5c7826db5f32e3ca1ecf3880db15406bc9aa6065b680fde"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JQHQYN7JQWDRQATQOVX4OZ4S4P/bundle.json","state_url":"https://pith.science/pith/JQHQYN7JQWDRQATQOVX4OZ4S4P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JQHQYN7JQWDRQATQOVX4OZ4S4P/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":"2026-06-04T01:32:19Z","links":{"resolver":"https://pith.science/pith/JQHQYN7JQWDRQATQOVX4OZ4S4P","bundle":"https://pith.science/pith/JQHQYN7JQWDRQATQOVX4OZ4S4P/bundle.json","state":"https://pith.science/pith/JQHQYN7JQWDRQATQOVX4OZ4S4P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JQHQYN7JQWDRQATQOVX4OZ4S4P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:JQHQYN7JQWDRQATQOVX4OZ4S4P","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":"03d277eb8bdf96fa11901091010c9481adbbf7f2fd4877e50004d67f5abd4d65","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-16T15:15:05Z","title_canon_sha256":"74d121e1d2c2888797d37a57bf177081f4428bd94066cfa32ae31f65bd53efc7"},"schema_version":"1.0","source":{"id":"1605.04800","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.04800","created_at":"2026-05-18T01:11:58Z"},{"alias_kind":"arxiv_version","alias_value":"1605.04800v2","created_at":"2026-05-18T01:11:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.04800","created_at":"2026-05-18T01:11:58Z"},{"alias_kind":"pith_short_12","alias_value":"JQHQYN7JQWDR","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_16","alias_value":"JQHQYN7JQWDRQATQ","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_8","alias_value":"JQHQYN7J","created_at":"2026-05-18T12:30:25Z"}],"graph_snapshots":[{"event_id":"sha256:aeb6b912a2802774f5c7826db5f32e3ca1ecf3880db15406bc9aa6065b680fde","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 submission of the AMU (Adam Mickiewicz University) team to the Automatic Post-Editing (APE) task of WMT 2016. We explore the application of neural translation models to the APE problem and achieve good results by treating different models as components in a log-linear model, allowing for multiple inputs (the MT-output and the source) that are decoded to the same target language (post-edited translations). A simple string-matching penalty integrated within the log-linear model is used to control for higher faithfulness with regard to the raw machine translation output. ","authors_text":"Marcin Junczys-Dowmunt, Roman Grundkiewicz","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-16T15:15:05Z","title":"Log-linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post-Editing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.04800","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":"sha256:4ba276f88a3a4780f100d43ed9586d46cd1ea08dda93926ad11e043fd419b444","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":"03d277eb8bdf96fa11901091010c9481adbbf7f2fd4877e50004d67f5abd4d65","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-16T15:15:05Z","title_canon_sha256":"74d121e1d2c2888797d37a57bf177081f4428bd94066cfa32ae31f65bd53efc7"},"schema_version":"1.0","source":{"id":"1605.04800","kind":"arxiv","version":2}},"canonical_sha256":"4c0f0c37e98587180270756fc76792e3cbcc94bc1da3eeea8c05696defbe6a2d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4c0f0c37e98587180270756fc76792e3cbcc94bc1da3eeea8c05696defbe6a2d","first_computed_at":"2026-05-18T01:11:58.881530Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:11:58.881530Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LLVw0v6g38AOmaL277dKwS5IQ64wfUKfFtqjc/gb8cIH3MVNnHSkLLk9IXnfjUUgm9SxTuJxGDsqwO5fvJSkBw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:11:58.881879Z","signed_message":"canonical_sha256_bytes"},"source_id":"1605.04800","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4ba276f88a3a4780f100d43ed9586d46cd1ea08dda93926ad11e043fd419b444","sha256:aeb6b912a2802774f5c7826db5f32e3ca1ecf3880db15406bc9aa6065b680fde"],"state_sha256":"2816aee23a9c5e90c31cfccbe023f6d2deb00ba440f5d2240442564b70e097d2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KsSUUZfJmShgUY8SFc8iIGJiWZU9vbLiwK7MgOUVsTloEoGDB1zEOMeOzDQsnxetI5aOGfsIpm15PpWWHiKZDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T01:32:19.401310Z","bundle_sha256":"c497f5f1ca5df618da378781d2e2dc04d038dfd4aa27350ae08324b1b4ad0ec8"}}