{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:BLYVCXNW6BBDLW24OQ5JVINMUA","short_pith_number":"pith:BLYVCXNW","schema_version":"1.0","canonical_sha256":"0af1515db6f04235db5c743a9aa1aca0288df622b6d27c94cea6c7de0003bf26","source":{"kind":"arxiv","id":"2412.07303","version":2},"attestation_state":"computed","paper":{"title":"Filipino Benchmarks for Measuring Sexist and Homophobic Bias in Multilingual Language Models from Southeast Asia","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Lance Calvin Lim Gamboa, Mark Lee","submitted_at":"2024-12-10T08:31:52Z","abstract_excerpt":"Bias studies on multilingual models confirm the presence of gender-related stereotypes in masked models processing languages with high NLP resources. We expand on this line of research by introducing Filipino CrowS-Pairs and Filipino WinoQueer: benchmarks that assess both sexist and anti-queer biases in pretrained language models (PLMs) handling texts in Filipino, a low-resource language from the Philippines. The benchmarks consist of 7,074 new challenge pairs resulting from our cultural adaptation of English bias evaluation datasets, a process that we document in detail to guide similar forth"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2412.07303","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-10T08:31:52Z","cross_cats_sorted":[],"title_canon_sha256":"4a457dc04df3889467856d243a51db9c47894fa5d0b96e19744b86ff140cf43b","abstract_canon_sha256":"4c08e2ae88182606d8160020992aceff7db8aa2bae3d21f7c628b537ebbf0a30"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:54:14.400629Z","signature_b64":"6+eKNs0dPc0X7KzhaNtpabSrSIGnDy4xdnklIczWMUbLj8FANIjusgeKo+DO3brN03bR0m7hbVmFu6sBhymyCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0af1515db6f04235db5c743a9aa1aca0288df622b6d27c94cea6c7de0003bf26","last_reissued_at":"2026-07-05T10:54:14.400143Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:54:14.400143Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Filipino Benchmarks for Measuring Sexist and Homophobic Bias in Multilingual Language Models from Southeast Asia","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Lance Calvin Lim Gamboa, Mark Lee","submitted_at":"2024-12-10T08:31:52Z","abstract_excerpt":"Bias studies on multilingual models confirm the presence of gender-related stereotypes in masked models processing languages with high NLP resources. We expand on this line of research by introducing Filipino CrowS-Pairs and Filipino WinoQueer: benchmarks that assess both sexist and anti-queer biases in pretrained language models (PLMs) handling texts in Filipino, a low-resource language from the Philippines. The benchmarks consist of 7,074 new challenge pairs resulting from our cultural adaptation of English bias evaluation datasets, a process that we document in detail to guide similar forth"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.07303","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/2412.07303/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2412.07303","created_at":"2026-07-05T10:54:14.400199+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.07303v2","created_at":"2026-07-05T10:54:14.400199+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.07303","created_at":"2026-07-05T10:54:14.400199+00:00"},{"alias_kind":"pith_short_12","alias_value":"BLYVCXNW6BBD","created_at":"2026-07-05T10:54:14.400199+00:00"},{"alias_kind":"pith_short_16","alias_value":"BLYVCXNW6BBDLW24","created_at":"2026-07-05T10:54:14.400199+00:00"},{"alias_kind":"pith_short_8","alias_value":"BLYVCXNW","created_at":"2026-07-05T10:54:14.400199+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/BLYVCXNW6BBDLW24OQ5JVINMUA","json":"https://pith.science/pith/BLYVCXNW6BBDLW24OQ5JVINMUA.json","graph_json":"https://pith.science/api/pith-number/BLYVCXNW6BBDLW24OQ5JVINMUA/graph.json","events_json":"https://pith.science/api/pith-number/BLYVCXNW6BBDLW24OQ5JVINMUA/events.json","paper":"https://pith.science/paper/BLYVCXNW"},"agent_actions":{"view_html":"https://pith.science/pith/BLYVCXNW6BBDLW24OQ5JVINMUA","download_json":"https://pith.science/pith/BLYVCXNW6BBDLW24OQ5JVINMUA.json","view_paper":"https://pith.science/paper/BLYVCXNW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.07303&json=true","fetch_graph":"https://pith.science/api/pith-number/BLYVCXNW6BBDLW24OQ5JVINMUA/graph.json","fetch_events":"https://pith.science/api/pith-number/BLYVCXNW6BBDLW24OQ5JVINMUA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BLYVCXNW6BBDLW24OQ5JVINMUA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BLYVCXNW6BBDLW24OQ5JVINMUA/action/storage_attestation","attest_author":"https://pith.science/pith/BLYVCXNW6BBDLW24OQ5JVINMUA/action/author_attestation","sign_citation":"https://pith.science/pith/BLYVCXNW6BBDLW24OQ5JVINMUA/action/citation_signature","submit_replication":"https://pith.science/pith/BLYVCXNW6BBDLW24OQ5JVINMUA/action/replication_record"}},"created_at":"2026-07-05T10:54:14.400199+00:00","updated_at":"2026-07-05T10:54:14.400199+00:00"}