{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WNH4QBDUI6JG2QYXFZFMMCINHJ","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":"72eb67ced148d96a2ca328c4b6a082a16d194628e694cbc6d54a910605821d45","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-10T08:49:27Z","title_canon_sha256":"3b3ea5f9b48140328edd9e06d74483813571f6c4ee03dfae5bdf7ef10c352416"},"schema_version":"1.0","source":{"id":"2404.06833","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.06833","created_at":"2026-07-05T10:10:22Z"},{"alias_kind":"arxiv_version","alias_value":"2404.06833v3","created_at":"2026-07-05T10:10:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.06833","created_at":"2026-07-05T10:10:22Z"},{"alias_kind":"pith_short_12","alias_value":"WNH4QBDUI6JG","created_at":"2026-07-05T10:10:22Z"},{"alias_kind":"pith_short_16","alias_value":"WNH4QBDUI6JG2QYX","created_at":"2026-07-05T10:10:22Z"},{"alias_kind":"pith_short_8","alias_value":"WNH4QBDU","created_at":"2026-07-05T10:10:22Z"}],"graph_snapshots":[{"event_id":"sha256:38f9c6d26831f4e1151aeba1f1de9335fec5209199205a49d2048eef4ea3a624","target":"graph","created_at":"2026-07-05T10:10:22Z","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/2404.06833/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent studies have highlighted the presence of cultural biases in Large Language Models (LLMs), yet often lack a robust methodology to dissect these phenomena comprehensively. Our work aims to bridge this gap by delving into the Food domain, a universally relevant yet culturally diverse aspect of human life. We introduce FmLAMA, a multilingual dataset centered on food-related cultural facts and variations in food practices. We analyze LLMs across various architectures and configurations, evaluating their performance in both monolingual and multilingual settings. By leveraging templates in six","authors_text":"Daniel Hershcovich, Haizhou Li, Li Zhou, Nicolas Garneau, Taelin Karidi, Wanlong Liu, Wenyu Chen, Yong Cao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-10T08:49:27Z","title":"Does Mapo Tofu Contain Coffee? Probing LLMs for Food-related Cultural Knowledge"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.06833","kind":"arxiv","version":3},"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":"sha256:5dabfa717d507be516388ee987419f4cbbd83c507d881bf6aa4ce2c506121e2d","target":"record","created_at":"2026-07-05T10:10:22Z","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":"72eb67ced148d96a2ca328c4b6a082a16d194628e694cbc6d54a910605821d45","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-10T08:49:27Z","title_canon_sha256":"3b3ea5f9b48140328edd9e06d74483813571f6c4ee03dfae5bdf7ef10c352416"},"schema_version":"1.0","source":{"id":"2404.06833","kind":"arxiv","version":3}},"canonical_sha256":"b34fc8047447926d43172e4ac6090d3a4b460702834927439a01720c0e7e4612","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b34fc8047447926d43172e4ac6090d3a4b460702834927439a01720c0e7e4612","first_computed_at":"2026-07-05T10:10:22.990108Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:10:22.990108Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9FpqW4qIU0an62cjlbV2Ydt7VIbHrgVKoOpbMO3RzG/HZ0g9rCEJ5vXU0pd6vkLP/REXH59FVQYCoQ6FOOzvAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:10:22.990472Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.06833","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5dabfa717d507be516388ee987419f4cbbd83c507d881bf6aa4ce2c506121e2d","sha256:38f9c6d26831f4e1151aeba1f1de9335fec5209199205a49d2048eef4ea3a624"],"state_sha256":"4a2c530be196af79689d74870947aa7f3674b83c76e88027349f192033c49ecd"}