{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:PTCMPQV2C6YKAKTV2CVYBDHYIS","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":"b99031cbd803764c494a1d0b829255088bc99dfeee582dca563bf452848580fa","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2020-10-13T15:32:00Z","title_canon_sha256":"40972f7b76062a8739fb11493b8b5d732605cb48fb9dfbcd292a9c7172ddaaf6"},"schema_version":"1.0","source":{"id":"2010.06478","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.06478","created_at":"2026-07-05T01:42:49Z"},{"alias_kind":"arxiv_version","alias_value":"2010.06478v1","created_at":"2026-07-05T01:42:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.06478","created_at":"2026-07-05T01:42:49Z"},{"alias_kind":"pith_short_12","alias_value":"PTCMPQV2C6YK","created_at":"2026-07-05T01:42:49Z"},{"alias_kind":"pith_short_16","alias_value":"PTCMPQV2C6YKAKTV","created_at":"2026-07-05T01:42:49Z"},{"alias_kind":"pith_short_8","alias_value":"PTCMPQV2","created_at":"2026-07-05T01:42:49Z"}],"graph_snapshots":[{"event_id":"sha256:269c154e309b2215a7798e627e83c46c72e51736e07c3d748e878d88346581cf","target":"graph","created_at":"2026-07-05T01:42:49Z","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/2010.06478/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The ability to correctly model distinct meanings of a word is crucial for the effectiveness of semantic representation techniques. However, most existing evaluation benchmarks for assessing this criterion are tied to sense inventories (usually WordNet), restricting their usage to a small subset of knowledge-based representation techniques. The Word-in-Context dataset (WiC) addresses the dependence on sense inventories by reformulating the standard disambiguation task as a binary classification problem; but, it is limited to the English language. We put forward a large multilingual benchmark, X","authors_text":"Alessandro Raganato, Jose Camacho-Collados, Mohammad Taher Pilehvar, Tommaso Pasini","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2020-10-13T15:32:00Z","title":"XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.06478","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":"sha256:01f4294b0b10ce63155215541b7ccdf994d1abb7ebbd367f457166093b30d54f","target":"record","created_at":"2026-07-05T01:42:49Z","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":"b99031cbd803764c494a1d0b829255088bc99dfeee582dca563bf452848580fa","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2020-10-13T15:32:00Z","title_canon_sha256":"40972f7b76062a8739fb11493b8b5d732605cb48fb9dfbcd292a9c7172ddaaf6"},"schema_version":"1.0","source":{"id":"2010.06478","kind":"arxiv","version":1}},"canonical_sha256":"7cc4c7c2ba17b0a02a75d0ab808cf844914d5310050a24135e9e42fde584fc9d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7cc4c7c2ba17b0a02a75d0ab808cf844914d5310050a24135e9e42fde584fc9d","first_computed_at":"2026-07-05T01:42:49.150375Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:42:49.150375Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LUE+7D5RZI9CY8wzF7bjsQ2+v+ACqKsiKJKp4ZsJM4cRLvi2lCywelGyl83l/MqlMdr+Zcy4AR0um+MPPjgpAw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:42:49.150745Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.06478","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:01f4294b0b10ce63155215541b7ccdf994d1abb7ebbd367f457166093b30d54f","sha256:269c154e309b2215a7798e627e83c46c72e51736e07c3d748e878d88346581cf"],"state_sha256":"899eedfefb1511c91aa368b00b2c7a8f5017d8005291eae1f6fb8acfde1a065a"}