{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:WV5KQTLKWZDNJAEWD2WZMS3XVD","short_pith_number":"pith:WV5KQTLK","schema_version":"1.0","canonical_sha256":"b57aa84d6ab646d480961ead964b77a8ca3f948a69a2f66a8f8136ffae8682b6","source":{"kind":"arxiv","id":"2509.10780","version":1},"attestation_state":"computed","paper":{"title":"Bridging Cultural Distance Between Models Default and Local Classroom Demands: How Global Teachers Adopt GenAI to Support Everyday Teaching Practices","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.HC","authors_text":"Hanqi Jane Li, Hong Shen, John Stamper, Phenyo Phemelo Moletsane, Qing Xiao, Ruiwei Xiao, Xinying Hou","submitted_at":"2025-09-13T01:57:48Z","abstract_excerpt":"Generative AI (GenAI) is rapidly entering K-12 classrooms, offering teachers new ways for teaching practices. Yet GenAI models are often trained on culturally uneven datasets, embedding a \"default culture\" that often misaligns with local classrooms. To understand how teachers navigate this gap, we defined the new concept Cultural Distance (the gap between GenAI's default cultural repertoire and the situated demands of teaching practice) and conducted in-depth interviews with 30 K-12 teachers, 10 each from South Africa, Taiwan, and the United States, who had integrated AI into their teaching pr"},"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":"2509.10780","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-09-13T01:57:48Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"f4a6228423755a191ac5d3e5b9609f2d198b6cb1f752da1a0f99af79efe5d7d0","abstract_canon_sha256":"2bd214f76f2f52996bfdb4383779c7b2b3522479df41140f0fce974e57b25ad4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:11:27.902074Z","signature_b64":"wsb0CvDaKBk7N2zO1+DF4fwgVkTadVTd20hy3ETLFT8FquGMz2rCjcdCbfB4DgNmS0EuOi+NXfQrQdLkVXM8Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b57aa84d6ab646d480961ead964b77a8ca3f948a69a2f66a8f8136ffae8682b6","last_reissued_at":"2026-07-05T12:11:27.901496Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:11:27.901496Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bridging Cultural Distance Between Models Default and Local Classroom Demands: How Global Teachers Adopt GenAI to Support Everyday Teaching Practices","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.HC","authors_text":"Hanqi Jane Li, Hong Shen, John Stamper, Phenyo Phemelo Moletsane, Qing Xiao, Ruiwei Xiao, Xinying Hou","submitted_at":"2025-09-13T01:57:48Z","abstract_excerpt":"Generative AI (GenAI) is rapidly entering K-12 classrooms, offering teachers new ways for teaching practices. Yet GenAI models are often trained on culturally uneven datasets, embedding a \"default culture\" that often misaligns with local classrooms. To understand how teachers navigate this gap, we defined the new concept Cultural Distance (the gap between GenAI's default cultural repertoire and the situated demands of teaching practice) and conducted in-depth interviews with 30 K-12 teachers, 10 each from South Africa, Taiwan, and the United States, who had integrated AI into their teaching pr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.10780","kind":"arxiv","version":1},"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/2509.10780/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":"2509.10780","created_at":"2026-07-05T12:11:27.901556+00:00"},{"alias_kind":"arxiv_version","alias_value":"2509.10780v1","created_at":"2026-07-05T12:11:27.901556+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.10780","created_at":"2026-07-05T12:11:27.901556+00:00"},{"alias_kind":"pith_short_12","alias_value":"WV5KQTLKWZDN","created_at":"2026-07-05T12:11:27.901556+00:00"},{"alias_kind":"pith_short_16","alias_value":"WV5KQTLKWZDNJAEW","created_at":"2026-07-05T12:11:27.901556+00:00"},{"alias_kind":"pith_short_8","alias_value":"WV5KQTLK","created_at":"2026-07-05T12:11:27.901556+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/WV5KQTLKWZDNJAEWD2WZMS3XVD","json":"https://pith.science/pith/WV5KQTLKWZDNJAEWD2WZMS3XVD.json","graph_json":"https://pith.science/api/pith-number/WV5KQTLKWZDNJAEWD2WZMS3XVD/graph.json","events_json":"https://pith.science/api/pith-number/WV5KQTLKWZDNJAEWD2WZMS3XVD/events.json","paper":"https://pith.science/paper/WV5KQTLK"},"agent_actions":{"view_html":"https://pith.science/pith/WV5KQTLKWZDNJAEWD2WZMS3XVD","download_json":"https://pith.science/pith/WV5KQTLKWZDNJAEWD2WZMS3XVD.json","view_paper":"https://pith.science/paper/WV5KQTLK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2509.10780&json=true","fetch_graph":"https://pith.science/api/pith-number/WV5KQTLKWZDNJAEWD2WZMS3XVD/graph.json","fetch_events":"https://pith.science/api/pith-number/WV5KQTLKWZDNJAEWD2WZMS3XVD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WV5KQTLKWZDNJAEWD2WZMS3XVD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WV5KQTLKWZDNJAEWD2WZMS3XVD/action/storage_attestation","attest_author":"https://pith.science/pith/WV5KQTLKWZDNJAEWD2WZMS3XVD/action/author_attestation","sign_citation":"https://pith.science/pith/WV5KQTLKWZDNJAEWD2WZMS3XVD/action/citation_signature","submit_replication":"https://pith.science/pith/WV5KQTLKWZDNJAEWD2WZMS3XVD/action/replication_record"}},"created_at":"2026-07-05T12:11:27.901556+00:00","updated_at":"2026-07-05T12:11:27.901556+00:00"}