{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VBFIJG6HU7VRYXUUQSQTYUPTUB","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":"871e8b5f69ee9620d1ff7bc82ab24fb6f72941d650ec0c5b122d612d1ed5165b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-09T21:12:08Z","title_canon_sha256":"a37625e908187f3857e5874c65f7149b3d30eb0f87ee5bd1889408f7c4f09f3d"},"schema_version":"1.0","source":{"id":"2404.06621","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.06621","created_at":"2026-07-05T08:06:14Z"},{"alias_kind":"arxiv_version","alias_value":"2404.06621v1","created_at":"2026-07-05T08:06:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.06621","created_at":"2026-07-05T08:06:14Z"},{"alias_kind":"pith_short_12","alias_value":"VBFIJG6HU7VR","created_at":"2026-07-05T08:06:14Z"},{"alias_kind":"pith_short_16","alias_value":"VBFIJG6HU7VRYXUU","created_at":"2026-07-05T08:06:14Z"},{"alias_kind":"pith_short_8","alias_value":"VBFIJG6H","created_at":"2026-07-05T08:06:14Z"}],"graph_snapshots":[{"event_id":"sha256:7fecd0427e50cedd197cd5eeee0547b5b0e71b1df36af6d4bd2582fd58eac469","target":"graph","created_at":"2026-07-05T08:06:14Z","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/2404.06621/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Bias is a disproportionate prejudice in favor of one side against another. Due to the success of transformer-based Masked Language Models (MLMs) and their impact on many NLP tasks, a systematic evaluation of bias in these models is needed more than ever. While many studies have evaluated gender bias in English MLMs, only a few works have been conducted for the task in other languages. This paper proposes a multilingual approach to estimate gender bias in MLMs from 5 languages: Chinese, English, German, Portuguese, and Spanish. Unlike previous work, our approach does not depend on parallel corp","authors_text":"Jacob Choi, Jeongrok Yu, Jinho D. Choi, Seong Ug Kim","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-09T21:12:08Z","title":"What is Your Favorite Gender, MLM? Gender Bias Evaluation in Multilingual Masked Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.06621","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":"sha256:485540d8a62a97bc63c8bf69698df18fd57db54a1bcaf13a88113b1129f495e7","target":"record","created_at":"2026-07-05T08:06:14Z","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":"871e8b5f69ee9620d1ff7bc82ab24fb6f72941d650ec0c5b122d612d1ed5165b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-09T21:12:08Z","title_canon_sha256":"a37625e908187f3857e5874c65f7149b3d30eb0f87ee5bd1889408f7c4f09f3d"},"schema_version":"1.0","source":{"id":"2404.06621","kind":"arxiv","version":1}},"canonical_sha256":"a84a849bc7a7eb1c5e9484a13c51f3a06602695c30f71c30a3c49e5f04fcc928","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a84a849bc7a7eb1c5e9484a13c51f3a06602695c30f71c30a3c49e5f04fcc928","first_computed_at":"2026-07-05T08:06:14.886982Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:06:14.886982Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wrL7HjT2BAGT5/ACnoEZrp1SKEeI/JZiVa0D8ydM6oPhRx4EDlgU8+TWIItz5FGMWU/DmF7g2SwmGaSsWMMECQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:06:14.887333Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.06621","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:485540d8a62a97bc63c8bf69698df18fd57db54a1bcaf13a88113b1129f495e7","sha256:7fecd0427e50cedd197cd5eeee0547b5b0e71b1df36af6d4bd2582fd58eac469"],"state_sha256":"839c861f708037b5e51eac9704a4eafbf74c69e1eb66e3f114e751621e60bd08"}