{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:BBXFRIZ5O5ATXJRMMXHE3ELVRC","short_pith_number":"pith:BBXFRIZ5","canonical_record":{"source":{"id":"1911.10049","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2019-11-22T14:06:21Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"3f5f5383237dc76465cf7d91716f14e7a9bb65ebbce361ef6d29495425c9de37","abstract_canon_sha256":"bb5535ee0b9a47075ab36c64acc0a95c7debdc60a5360b429e8847f4fb28c9c0"},"schema_version":"1.0"},"canonical_sha256":"086e58a33d77413ba62c65ce4d917588ada545b69dc8431c698b8b5b7ac79512","source":{"kind":"arxiv","id":"1911.10049","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.10049","created_at":"2026-07-05T04:27:40Z"},{"alias_kind":"arxiv_version","alias_value":"1911.10049v2","created_at":"2026-07-05T04:27:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.10049","created_at":"2026-07-05T04:27:40Z"},{"alias_kind":"pith_short_12","alias_value":"BBXFRIZ5O5AT","created_at":"2026-07-05T04:27:40Z"},{"alias_kind":"pith_short_16","alias_value":"BBXFRIZ5O5ATXJRM","created_at":"2026-07-05T04:27:40Z"},{"alias_kind":"pith_short_8","alias_value":"BBXFRIZ5","created_at":"2026-07-05T04:27:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:BBXFRIZ5O5ATXJRMMXHE3ELVRC","target":"record","payload":{"canonical_record":{"source":{"id":"1911.10049","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2019-11-22T14:06:21Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"3f5f5383237dc76465cf7d91716f14e7a9bb65ebbce361ef6d29495425c9de37","abstract_canon_sha256":"bb5535ee0b9a47075ab36c64acc0a95c7debdc60a5360b429e8847f4fb28c9c0"},"schema_version":"1.0"},"canonical_sha256":"086e58a33d77413ba62c65ce4d917588ada545b69dc8431c698b8b5b7ac79512","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:27:40.900371Z","signature_b64":"fj5/8QOwGzfgd++Y7jTLl2CPOpqbpvPgkx8XbbAL6KbrazIsE7utLo3xeFRSUIFnuzB4YvOjmYYvGatoK5e0CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"086e58a33d77413ba62c65ce4d917588ada545b69dc8431c698b8b5b7ac79512","last_reissued_at":"2026-07-05T04:27:40.899911Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:27:40.899911Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1911.10049","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":"2026-07-05T04:27:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SBSZE699Sf3eI5N5lssMlL/TQm9oXfPs3Q7Pv746Ksvcf3dilTluWxdhDLF+NSz8kMpQT1ypxgNskU3y0vmbCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T09:07:02.282472Z"},"content_sha256":"a903aee97a4754eddf193beb38adbdee29877981e59a5032d4a38ddb3b697394","schema_version":"1.0","event_id":"sha256:a903aee97a4754eddf193beb38adbdee29877981e59a5032d4a38ddb3b697394"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:BBXFRIZ5O5ATXJRMMXHE3ELVRC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"High Quality ELMo Embeddings for Seven Less-Resourced Languages","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Marko Robnik-\\v{S}ikonja, Matej Ul\\v{c}ar","submitted_at":"2019-11-22T14:06:21Z","abstract_excerpt":"Recent results show that deep neural networks using contextual embeddings significantly outperform non-contextual embeddings on a majority of text classification task. We offer precomputed embeddings from popular contextual ELMo model for seven languages: Croatian, Estonian, Finnish, Latvian, Lithuanian, Slovenian, and Swedish. We demonstrate that the quality of embeddings strongly depends on the size of training set and show that existing publicly available ELMo embeddings for listed languages shall be improved. We train new ELMo embeddings on much larger training sets and show their advantag"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.10049","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1911.10049/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T04:27:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sNFEomME9RyEb2LIrltlJWb+Sr/a71vbDT+7YzhirwQdEy8yFAhJYAe8BUpR690HVIYAFe9aYxkqWK/j2H50Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T09:07:02.282846Z"},"content_sha256":"0d7c3aef48bb1fa2ee4fc803d0908fe22fa94f78bb6f8ab3bd1fa7e9b9b8a15e","schema_version":"1.0","event_id":"sha256:0d7c3aef48bb1fa2ee4fc803d0908fe22fa94f78bb6f8ab3bd1fa7e9b9b8a15e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BBXFRIZ5O5ATXJRMMXHE3ELVRC/bundle.json","state_url":"https://pith.science/pith/BBXFRIZ5O5ATXJRMMXHE3ELVRC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BBXFRIZ5O5ATXJRMMXHE3ELVRC/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":"2026-07-05T09:07:02Z","links":{"resolver":"https://pith.science/pith/BBXFRIZ5O5ATXJRMMXHE3ELVRC","bundle":"https://pith.science/pith/BBXFRIZ5O5ATXJRMMXHE3ELVRC/bundle.json","state":"https://pith.science/pith/BBXFRIZ5O5ATXJRMMXHE3ELVRC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BBXFRIZ5O5ATXJRMMXHE3ELVRC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:BBXFRIZ5O5ATXJRMMXHE3ELVRC","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":"bb5535ee0b9a47075ab36c64acc0a95c7debdc60a5360b429e8847f4fb28c9c0","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2019-11-22T14:06:21Z","title_canon_sha256":"3f5f5383237dc76465cf7d91716f14e7a9bb65ebbce361ef6d29495425c9de37"},"schema_version":"1.0","source":{"id":"1911.10049","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.10049","created_at":"2026-07-05T04:27:40Z"},{"alias_kind":"arxiv_version","alias_value":"1911.10049v2","created_at":"2026-07-05T04:27:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.10049","created_at":"2026-07-05T04:27:40Z"},{"alias_kind":"pith_short_12","alias_value":"BBXFRIZ5O5AT","created_at":"2026-07-05T04:27:40Z"},{"alias_kind":"pith_short_16","alias_value":"BBXFRIZ5O5ATXJRM","created_at":"2026-07-05T04:27:40Z"},{"alias_kind":"pith_short_8","alias_value":"BBXFRIZ5","created_at":"2026-07-05T04:27:40Z"}],"graph_snapshots":[{"event_id":"sha256:0d7c3aef48bb1fa2ee4fc803d0908fe22fa94f78bb6f8ab3bd1fa7e9b9b8a15e","target":"graph","created_at":"2026-07-05T04:27:40Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1911.10049/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent results show that deep neural networks using contextual embeddings significantly outperform non-contextual embeddings on a majority of text classification task. We offer precomputed embeddings from popular contextual ELMo model for seven languages: Croatian, Estonian, Finnish, Latvian, Lithuanian, Slovenian, and Swedish. We demonstrate that the quality of embeddings strongly depends on the size of training set and show that existing publicly available ELMo embeddings for listed languages shall be improved. We train new ELMo embeddings on much larger training sets and show their advantag","authors_text":"Marko Robnik-\\v{S}ikonja, Matej Ul\\v{c}ar","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2019-11-22T14:06:21Z","title":"High Quality ELMo Embeddings for Seven Less-Resourced Languages"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.10049","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:a903aee97a4754eddf193beb38adbdee29877981e59a5032d4a38ddb3b697394","target":"record","created_at":"2026-07-05T04:27:40Z","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":"bb5535ee0b9a47075ab36c64acc0a95c7debdc60a5360b429e8847f4fb28c9c0","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2019-11-22T14:06:21Z","title_canon_sha256":"3f5f5383237dc76465cf7d91716f14e7a9bb65ebbce361ef6d29495425c9de37"},"schema_version":"1.0","source":{"id":"1911.10049","kind":"arxiv","version":2}},"canonical_sha256":"086e58a33d77413ba62c65ce4d917588ada545b69dc8431c698b8b5b7ac79512","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"086e58a33d77413ba62c65ce4d917588ada545b69dc8431c698b8b5b7ac79512","first_computed_at":"2026-07-05T04:27:40.899911Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:27:40.899911Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fj5/8QOwGzfgd++Y7jTLl2CPOpqbpvPgkx8XbbAL6KbrazIsE7utLo3xeFRSUIFnuzB4YvOjmYYvGatoK5e0CA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:27:40.900371Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.10049","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a903aee97a4754eddf193beb38adbdee29877981e59a5032d4a38ddb3b697394","sha256:0d7c3aef48bb1fa2ee4fc803d0908fe22fa94f78bb6f8ab3bd1fa7e9b9b8a15e"],"state_sha256":"9c63e5331b6e45c6350cd729250b1767274a356ce99c14e4ba08b9f30b5a4fd8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3JVMSlx27+HN+3D5pcX7RPOGnzmcVuswr09uMOfi1mjHu4QcInyogofIetMNg79V+jIGAstwsmAVgA3sv6MNCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T09:07:02.284838Z","bundle_sha256":"6d968df626a27a790b2ab1f8c84b142b0567bffa29e93fffbf08d71305adc100"}}