{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:ON465QMYW7GDPKPVGPRL7TRQN3","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":"b90c76141328170b7632e00d8933267b62e85d39176ed4a117190cc2956b057c","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-02-14T12:06:45Z","title_canon_sha256":"8d0a915a955b9a9b27791354d69e9932220c6bcface777491b57dfde592d6e8a"},"schema_version":"1.0","source":{"id":"2202.06650","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.06650","created_at":"2026-07-05T03:56:40Z"},{"alias_kind":"arxiv_version","alias_value":"2202.06650v1","created_at":"2026-07-05T03:56:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.06650","created_at":"2026-07-05T03:56:40Z"},{"alias_kind":"pith_short_12","alias_value":"ON465QMYW7GD","created_at":"2026-07-05T03:56:40Z"},{"alias_kind":"pith_short_16","alias_value":"ON465QMYW7GDPKPV","created_at":"2026-07-05T03:56:40Z"},{"alias_kind":"pith_short_8","alias_value":"ON465QMY","created_at":"2026-07-05T03:56:40Z"}],"graph_snapshots":[{"event_id":"sha256:34f232eebe21bbc21c4fabfe6623c5d025be4f8c20a1edc11ab0a6d8534a46a8","target":"graph","created_at":"2026-07-05T03:56:40Z","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/2202.06650/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Keyword extraction is the task of retrieving words that are essential to the content of a given document. Researchers proposed various approaches to tackle this problem. At the top-most level, approaches are divided into ones that require training - supervised and ones that do not - unsupervised. In this study, we are interested in settings, where for a language under investigation, no training data is available. More specifically, we explore whether pretrained multilingual language models can be employed for zero-shot cross-lingual keyword extraction on low-resource languages with limited or ","authors_text":"Bla\\v{z} \\v{S}krlj, Boshko Koloski, Matej Martinc, Senja Pollak","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-02-14T12:06:45Z","title":"Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.06650","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":"sha256:3917298826e35ce25c6bddee1abc511c2dec4f370cc32e613fe58239ba322319","target":"record","created_at":"2026-07-05T03:56:40Z","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":"b90c76141328170b7632e00d8933267b62e85d39176ed4a117190cc2956b057c","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-02-14T12:06:45Z","title_canon_sha256":"8d0a915a955b9a9b27791354d69e9932220c6bcface777491b57dfde592d6e8a"},"schema_version":"1.0","source":{"id":"2202.06650","kind":"arxiv","version":1}},"canonical_sha256":"7379eec198b7cc37a9f533e2bfce306efe890cfba2b1b477c7ae82926d1aa71d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7379eec198b7cc37a9f533e2bfce306efe890cfba2b1b477c7ae82926d1aa71d","first_computed_at":"2026-07-05T03:56:40.681274Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:56:40.681274Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"q/Hst4/BI+iIcXFNk+YAFsqB7fj1Zoa2mTNAch0OlzGBfk16r1tI2XaKx/LbKN+oxl2IQuoVmb2dW4vtYtjrCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:56:40.681814Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.06650","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3917298826e35ce25c6bddee1abc511c2dec4f370cc32e613fe58239ba322319","sha256:34f232eebe21bbc21c4fabfe6623c5d025be4f8c20a1edc11ab0a6d8534a46a8"],"state_sha256":"6d1c56718da6d94809aeab84f1cc51afe4178b4bc5d643cc32ae9cc7f44c76e1"}