{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BJRMOFF2346OSX6TV6YIGTK3FT","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":"c0691e2c184242b292c87f61c5e31bbccbf8808107c9dde7a5f0608b420dc621","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-09-03T14:04:51Z","title_canon_sha256":"a0711855d77d20b2a2a0dd1e0c59bebc1a5324ccc796efd084b23e71c9e205f8"},"schema_version":"1.0","source":{"id":"2509.03329","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.03329","created_at":"2026-07-05T12:04:20Z"},{"alias_kind":"arxiv_version","alias_value":"2509.03329v1","created_at":"2026-07-05T12:04:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.03329","created_at":"2026-07-05T12:04:20Z"},{"alias_kind":"pith_short_12","alias_value":"BJRMOFF2346O","created_at":"2026-07-05T12:04:20Z"},{"alias_kind":"pith_short_16","alias_value":"BJRMOFF2346OSX6T","created_at":"2026-07-05T12:04:20Z"},{"alias_kind":"pith_short_8","alias_value":"BJRMOFF2","created_at":"2026-07-05T12:04:20Z"}],"graph_snapshots":[{"event_id":"sha256:9ec826fa4e49cb50af30c146abbc6fb469c47a890d843d45395b10cb6e36bd00","target":"graph","created_at":"2026-07-05T12:04:20Z","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/2509.03329/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper addresses the critical gap in evaluating bias in multilingual Large Language Models (LLMs), with a specific focus on Spanish language within culturally-aware Latin American contexts. Despite widespread global deployment, current evaluations remain predominantly US-English-centric, leaving potential harms in other linguistic and cultural contexts largely underexamined. We introduce a novel, culturally-grounded framework for detecting social biases in instruction-tuned LLMs. Our approach adapts the underspecified question methodology from the BBQ dataset by incorporating culturally-sp","authors_text":"Catalina Bernal, Denniss Raigoso, Mateo Dulce Rubio, Melissa Robles","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-09-03T14:04:51Z","title":"SESGO: Spanish Evaluation of Stereotypical Generative Outputs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.03329","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:c44fd23d6760fe76238009b1acd50e92b8f9774c849924f62b3e563a4b320a43","target":"record","created_at":"2026-07-05T12:04:20Z","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":"c0691e2c184242b292c87f61c5e31bbccbf8808107c9dde7a5f0608b420dc621","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-09-03T14:04:51Z","title_canon_sha256":"a0711855d77d20b2a2a0dd1e0c59bebc1a5324ccc796efd084b23e71c9e205f8"},"schema_version":"1.0","source":{"id":"2509.03329","kind":"arxiv","version":1}},"canonical_sha256":"0a62c714badf3ce95fd3afb0834d5b2ccb6baff5cb03cf865201213b2023ca04","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0a62c714badf3ce95fd3afb0834d5b2ccb6baff5cb03cf865201213b2023ca04","first_computed_at":"2026-07-05T12:04:20.525312Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:04:20.525312Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y+H6jJNXUrA2XF9BeLpxhEeiWZ200BxdqSE8j85SsDoMZg55HyuDL97V7pwkxOm3vIv8L4NkiAPT8lmZMEyIAg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:04:20.525798Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.03329","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c44fd23d6760fe76238009b1acd50e92b8f9774c849924f62b3e563a4b320a43","sha256:9ec826fa4e49cb50af30c146abbc6fb469c47a890d843d45395b10cb6e36bd00"],"state_sha256":"232bbb396608ffecb0f318621329670fe9d3da73af6760191d54b846c21f58a3"}