{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:7NVVUVY3YWA6S3Z43TXRI76IPW","short_pith_number":"pith:7NVVUVY3","canonical_record":{"source":{"id":"1805.07469","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-05-18T23:05:18Z","cross_cats_sorted":[],"title_canon_sha256":"f7a2e07c0328557bb3bcd4cb6ed59503d24b8bed179b6539b882616d683405b4","abstract_canon_sha256":"9cd3f53e8bd6806e6edbd268a7837f05f410df1608cb117c56f09710b6e3217a"},"schema_version":"1.0"},"canonical_sha256":"fb6b5a571bc581e96f3cdcef147fc87da18f848c9dc994e6f75310bae39ff163","source":{"kind":"arxiv","id":"1805.07469","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.07469","created_at":"2026-05-18T00:15:33Z"},{"alias_kind":"arxiv_version","alias_value":"1805.07469v1","created_at":"2026-05-18T00:15:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.07469","created_at":"2026-05-18T00:15:33Z"},{"alias_kind":"pith_short_12","alias_value":"7NVVUVY3YWA6","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"7NVVUVY3YWA6S3Z4","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"7NVVUVY3","created_at":"2026-05-18T12:32:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:7NVVUVY3YWA6S3Z43TXRI76IPW","target":"record","payload":{"canonical_record":{"source":{"id":"1805.07469","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-05-18T23:05:18Z","cross_cats_sorted":[],"title_canon_sha256":"f7a2e07c0328557bb3bcd4cb6ed59503d24b8bed179b6539b882616d683405b4","abstract_canon_sha256":"9cd3f53e8bd6806e6edbd268a7837f05f410df1608cb117c56f09710b6e3217a"},"schema_version":"1.0"},"canonical_sha256":"fb6b5a571bc581e96f3cdcef147fc87da18f848c9dc994e6f75310bae39ff163","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:15:33.504584Z","signature_b64":"HbjXoM/xI2UMKtE4ePkQVg07nVpJsk4I6jgG3x9akWnI3uM984Yu5+qPodZzXg1/mUMeXBPXKaRD5wkvTg7nCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fb6b5a571bc581e96f3cdcef147fc87da18f848c9dc994e6f75310bae39ff163","last_reissued_at":"2026-05-18T00:15:33.504031Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:15:33.504031Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.07469","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":"2026-05-18T00:15:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jzQ02gH4rReyoVSvYmjD4UFXMOxFRvKtznPDJDTPIgj/T+2N49acohJ+09jRpsKb6nP1b9idg18yY3iH31udAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T11:59:23.715096Z"},"content_sha256":"407acffd7253b8dbfe6e842f15ca5f72b56cc1b14c421c994cf83df5f04ed995","schema_version":"1.0","event_id":"sha256:407acffd7253b8dbfe6e842f15ca5f72b56cc1b14c421c994cf83df5f04ed995"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:7NVVUVY3YWA6S3Z43TXRI76IPW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Metric for Automatic Machine Translation Evaluation based on Universal Sentence Representations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Hiroki Shimanaka, Mamoru Komachi, Tomoyuki Kajiwara","submitted_at":"2018-05-18T23:05:18Z","abstract_excerpt":"Sentence representations can capture a wide range of information that cannot be captured by local features based on character or word N-grams. This paper examines the usefulness of universal sentence representations for evaluating the quality of machine translation. Although it is difficult to train sentence representations using small-scale translation datasets with manual evaluation, sentence representations trained from large-scale data in other tasks can improve the automatic evaluation of machine translation. Experimental results of the WMT-2016 dataset show that the proposed method achie"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.07469","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":"2026-05-18T00:15:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"febZGLVQJWhjnAfdjLkczeLzt8oHTzrzpKUHtIIAgwFGDNTXgTtzVRzCyM2GLnGnhrMC4ZLybNoqKfTU1AzjCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T11:59:23.715461Z"},"content_sha256":"92bb01d37112850aacdaff99818de96638697ae0e1477ed561507fbb298228a2","schema_version":"1.0","event_id":"sha256:92bb01d37112850aacdaff99818de96638697ae0e1477ed561507fbb298228a2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7NVVUVY3YWA6S3Z43TXRI76IPW/bundle.json","state_url":"https://pith.science/pith/7NVVUVY3YWA6S3Z43TXRI76IPW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7NVVUVY3YWA6S3Z43TXRI76IPW/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":"2026-06-26T11:59:23Z","links":{"resolver":"https://pith.science/pith/7NVVUVY3YWA6S3Z43TXRI76IPW","bundle":"https://pith.science/pith/7NVVUVY3YWA6S3Z43TXRI76IPW/bundle.json","state":"https://pith.science/pith/7NVVUVY3YWA6S3Z43TXRI76IPW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7NVVUVY3YWA6S3Z43TXRI76IPW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:7NVVUVY3YWA6S3Z43TXRI76IPW","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":"9cd3f53e8bd6806e6edbd268a7837f05f410df1608cb117c56f09710b6e3217a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-05-18T23:05:18Z","title_canon_sha256":"f7a2e07c0328557bb3bcd4cb6ed59503d24b8bed179b6539b882616d683405b4"},"schema_version":"1.0","source":{"id":"1805.07469","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.07469","created_at":"2026-05-18T00:15:33Z"},{"alias_kind":"arxiv_version","alias_value":"1805.07469v1","created_at":"2026-05-18T00:15:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.07469","created_at":"2026-05-18T00:15:33Z"},{"alias_kind":"pith_short_12","alias_value":"7NVVUVY3YWA6","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"7NVVUVY3YWA6S3Z4","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"7NVVUVY3","created_at":"2026-05-18T12:32:11Z"}],"graph_snapshots":[{"event_id":"sha256:92bb01d37112850aacdaff99818de96638697ae0e1477ed561507fbb298228a2","target":"graph","created_at":"2026-05-18T00:15:33Z","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":"Sentence representations can capture a wide range of information that cannot be captured by local features based on character or word N-grams. This paper examines the usefulness of universal sentence representations for evaluating the quality of machine translation. Although it is difficult to train sentence representations using small-scale translation datasets with manual evaluation, sentence representations trained from large-scale data in other tasks can improve the automatic evaluation of machine translation. Experimental results of the WMT-2016 dataset show that the proposed method achie","authors_text":"Hiroki Shimanaka, Mamoru Komachi, Tomoyuki Kajiwara","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-05-18T23:05:18Z","title":"Metric for Automatic Machine Translation Evaluation based on Universal Sentence Representations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.07469","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":"sha256:407acffd7253b8dbfe6e842f15ca5f72b56cc1b14c421c994cf83df5f04ed995","target":"record","created_at":"2026-05-18T00:15:33Z","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":"9cd3f53e8bd6806e6edbd268a7837f05f410df1608cb117c56f09710b6e3217a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-05-18T23:05:18Z","title_canon_sha256":"f7a2e07c0328557bb3bcd4cb6ed59503d24b8bed179b6539b882616d683405b4"},"schema_version":"1.0","source":{"id":"1805.07469","kind":"arxiv","version":1}},"canonical_sha256":"fb6b5a571bc581e96f3cdcef147fc87da18f848c9dc994e6f75310bae39ff163","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fb6b5a571bc581e96f3cdcef147fc87da18f848c9dc994e6f75310bae39ff163","first_computed_at":"2026-05-18T00:15:33.504031Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:15:33.504031Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HbjXoM/xI2UMKtE4ePkQVg07nVpJsk4I6jgG3x9akWnI3uM984Yu5+qPodZzXg1/mUMeXBPXKaRD5wkvTg7nCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:15:33.504584Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.07469","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:407acffd7253b8dbfe6e842f15ca5f72b56cc1b14c421c994cf83df5f04ed995","sha256:92bb01d37112850aacdaff99818de96638697ae0e1477ed561507fbb298228a2"],"state_sha256":"c1a3df9abaf278374262176eca58e9a513d197f1b893c91d4d8269a45ec2910d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZGrK5A4s6i8QtZPIDvMx3vKPvKenhIbr4qneASA3Ngib5XOgNXEOcfu3B9rMBJeP0veMzynyEIlz57b0gNHzCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-26T11:59:23.717351Z","bundle_sha256":"2e5659839c43587015f8a8a6cd5bb00881c624afa285f3c89773ead6017839da"}}