{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:VR5CMMMJ7BCYSTTD4NFBFZKK3H","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":"92557517f59b23690c55b55f90410d85ffb60432dedec172f30e08d9d11b8676","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-02-01T15:07:06Z","title_canon_sha256":"b2143d062a54203ba259304dac855371fef94a76972806729c54e87fb5241a76"},"schema_version":"1.0","source":{"id":"2102.00894","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.00894","created_at":"2026-07-05T02:11:16Z"},{"alias_kind":"arxiv_version","alias_value":"2102.00894v1","created_at":"2026-07-05T02:11:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.00894","created_at":"2026-07-05T02:11:16Z"},{"alias_kind":"pith_short_12","alias_value":"VR5CMMMJ7BCY","created_at":"2026-07-05T02:11:16Z"},{"alias_kind":"pith_short_16","alias_value":"VR5CMMMJ7BCYSTTD","created_at":"2026-07-05T02:11:16Z"},{"alias_kind":"pith_short_8","alias_value":"VR5CMMMJ","created_at":"2026-07-05T02:11:16Z"}],"graph_snapshots":[{"event_id":"sha256:e5bb7322889802e862a5dd40e061b85a003f15ae9849f7d0f83011c542a39a45","target":"graph","created_at":"2026-07-05T02:11:16Z","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/2102.00894/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, it has been found that monolingual English language models can be used as knowledge bases. Instead of structural knowledge base queries, masked sentences such as \"Paris is the capital of [MASK]\" are used as probes. We translate the established benchmarks TREx and GoogleRE into 53 languages. Working with mBERT, we investigate three questions. (i) Can mBERT be used as a multilingual knowledge base? Most prior work only considers English. Extending research to multiple languages is important for diversity and accessibility. (ii) Is mBERT's performance as knowledge base language-independ","authors_text":"Hinrich Sch\\\"utze, Nora Kassner, Philipp Dufter","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-02-01T15:07:06Z","title":"Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.00894","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":"sha256:286e37fee38a5c9adbc525d32a869d5cdee0b409af8aa46d6aa22aca2e847f7d","target":"record","created_at":"2026-07-05T02:11:16Z","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":"92557517f59b23690c55b55f90410d85ffb60432dedec172f30e08d9d11b8676","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-02-01T15:07:06Z","title_canon_sha256":"b2143d062a54203ba259304dac855371fef94a76972806729c54e87fb5241a76"},"schema_version":"1.0","source":{"id":"2102.00894","kind":"arxiv","version":1}},"canonical_sha256":"ac7a263189f845894e63e34a12e54ad9e77eeaa17e6bcb4e35b9e6529cd85c02","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ac7a263189f845894e63e34a12e54ad9e77eeaa17e6bcb4e35b9e6529cd85c02","first_computed_at":"2026-07-05T02:11:16.244865Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:11:16.244865Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cIbachb1cwV8k2A1COH4u5kULRYTdJGC1enNZ9u4FRw6x0Of+Q9QX73fj28h1uIJBEXPlDgd2Ah0TzT66zjSCA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:11:16.245331Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.00894","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:286e37fee38a5c9adbc525d32a869d5cdee0b409af8aa46d6aa22aca2e847f7d","sha256:e5bb7322889802e862a5dd40e061b85a003f15ae9849f7d0f83011c542a39a45"],"state_sha256":"da668af045cefa050b5380647d51722199f426129edca03f38556432392722c1"}