{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:42NPP5SJELMHGNODH7CXZSUUBM","short_pith_number":"pith:42NPP5SJ","schema_version":"1.0","canonical_sha256":"e69af7f64922d87335c33fc57cca940b3db0ff914c11d8562fe46916ac1cb109","source":{"kind":"arxiv","id":"2606.28345","version":1},"attestation_state":"computed","paper":{"title":"Auditing LLM-Governed Social Robots with Culture-Specific Moral Gradients","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.CY"],"primary_cat":"cs.RO","authors_text":"Carmen Ng, Gjergji Kasneci","submitted_at":"2026-06-02T10:22:53Z","abstract_excerpt":"LLM-governed social robots increasingly decide who receives real-world assistance first. As prioritization norms vary across cultures by age, status, and group size, failure to calibrate pluralistically can scale into unequal access. Yet LLM moral audits remain English-centered, rarely test embodied contexts, leaving pluralistic calibration as an urgent diagnostic gap amid intensifying LLM-robot deployment. We introduce a gradient-based audit framework for multilingual evaluation of LLM moral trade-off behavior against cultural preference gradients. Grounded in nine cross-domain social robotic"},"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":"2606.28345","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-06-02T10:22:53Z","cross_cats_sorted":["cs.AI","cs.CL","cs.CY"],"title_canon_sha256":"50370576a34033ae998e5f9c4502808df0119f023073fc15810ae37560ed1aac","abstract_canon_sha256":"34ec6a42aa78b393d7ffb390c1dca8853e311c1eeb5f8c5e8b9dca07a5682cff"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-30T00:15:11.518947Z","signature_b64":"cBxfDOcShaFz1gI96N0FNRU15yp3EmPvjk63HI2avOqOSFAyA0UmKu4kzMuh4w2E+SXDvfCp5OxOe3gy8c8GDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e69af7f64922d87335c33fc57cca940b3db0ff914c11d8562fe46916ac1cb109","last_reissued_at":"2026-06-30T00:15:11.518328Z","signature_status":"signed_v1","first_computed_at":"2026-06-30T00:15:11.518328Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Auditing LLM-Governed Social Robots with Culture-Specific Moral Gradients","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.CY"],"primary_cat":"cs.RO","authors_text":"Carmen Ng, Gjergji Kasneci","submitted_at":"2026-06-02T10:22:53Z","abstract_excerpt":"LLM-governed social robots increasingly decide who receives real-world assistance first. As prioritization norms vary across cultures by age, status, and group size, failure to calibrate pluralistically can scale into unequal access. Yet LLM moral audits remain English-centered, rarely test embodied contexts, leaving pluralistic calibration as an urgent diagnostic gap amid intensifying LLM-robot deployment. We introduce a gradient-based audit framework for multilingual evaluation of LLM moral trade-off behavior against cultural preference gradients. Grounded in nine cross-domain social robotic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.28345","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/2606.28345/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":"2606.28345","created_at":"2026-06-30T00:15:11.518390+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.28345v1","created_at":"2026-06-30T00:15:11.518390+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.28345","created_at":"2026-06-30T00:15:11.518390+00:00"},{"alias_kind":"pith_short_12","alias_value":"42NPP5SJELMH","created_at":"2026-06-30T00:15:11.518390+00:00"},{"alias_kind":"pith_short_16","alias_value":"42NPP5SJELMHGNOD","created_at":"2026-06-30T00:15:11.518390+00:00"},{"alias_kind":"pith_short_8","alias_value":"42NPP5SJ","created_at":"2026-06-30T00:15:11.518390+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/42NPP5SJELMHGNODH7CXZSUUBM","json":"https://pith.science/pith/42NPP5SJELMHGNODH7CXZSUUBM.json","graph_json":"https://pith.science/api/pith-number/42NPP5SJELMHGNODH7CXZSUUBM/graph.json","events_json":"https://pith.science/api/pith-number/42NPP5SJELMHGNODH7CXZSUUBM/events.json","paper":"https://pith.science/paper/42NPP5SJ"},"agent_actions":{"view_html":"https://pith.science/pith/42NPP5SJELMHGNODH7CXZSUUBM","download_json":"https://pith.science/pith/42NPP5SJELMHGNODH7CXZSUUBM.json","view_paper":"https://pith.science/paper/42NPP5SJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.28345&json=true","fetch_graph":"https://pith.science/api/pith-number/42NPP5SJELMHGNODH7CXZSUUBM/graph.json","fetch_events":"https://pith.science/api/pith-number/42NPP5SJELMHGNODH7CXZSUUBM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/42NPP5SJELMHGNODH7CXZSUUBM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/42NPP5SJELMHGNODH7CXZSUUBM/action/storage_attestation","attest_author":"https://pith.science/pith/42NPP5SJELMHGNODH7CXZSUUBM/action/author_attestation","sign_citation":"https://pith.science/pith/42NPP5SJELMHGNODH7CXZSUUBM/action/citation_signature","submit_replication":"https://pith.science/pith/42NPP5SJELMHGNODH7CXZSUUBM/action/replication_record"}},"created_at":"2026-06-30T00:15:11.518390+00:00","updated_at":"2026-06-30T00:15:11.518390+00:00"}