{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:T2NIPBOTZILVJBMWBWS2EWFDFV","short_pith_number":"pith:T2NIPBOT","schema_version":"1.0","canonical_sha256":"9e9a8785d3ca175485960da5a258a32d5d79a0cb7abc4989ab4cf4a1a025f0a0","source":{"kind":"arxiv","id":"2605.21086","version":1},"attestation_state":"computed","paper":{"title":"LoCar: Localization-Aware Evaluation of In-Vehicle Assistants through Fine-Grained Sociolinguistic Control","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Alice Oh, Eunsu Kim, Jaeho Kim, Ken E. Friedl, Kiwoong Park, Seogyeong Jeong, Seyoung Song","submitted_at":"2026-05-20T12:21:15Z","abstract_excerpt":"While Large Language Models (LLMs) are increasingly integrated into in-vehicle conversational systems, identifying the optimal model remains challenging due to the lack of domain-specific evaluation standards tailored to real-world deployment requirements. In this paper, we propose a novel evaluation framework for in-vehicle assistants, with a particular focus on Korean-language localization. Our empirical analysis reveals notable patterns in model behavior. First, fine-grained Korean honorific control remains unstable in current LLMs, indicating that precise speech-level realization must be e"},"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":"2605.21086","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-20T12:21:15Z","cross_cats_sorted":[],"title_canon_sha256":"ac600c88114a68c885c1174604e566aac1e09b0a42f07e49e28c3b910b83c7fb","abstract_canon_sha256":"5e96870157962a95074a65ea01a46aef0332cfe0bfba1b32985089cced4e12ec"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-21T01:05:36.314051Z","signature_b64":"7vccl45ZSpwjJng3dYB5tf0fydb/jBxI1mFliikn9QcygSH5JT/63guGOsljAYexg7XTbHTmnAonlaY2Mjc4DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9e9a8785d3ca175485960da5a258a32d5d79a0cb7abc4989ab4cf4a1a025f0a0","last_reissued_at":"2026-05-21T01:05:36.313270Z","signature_status":"signed_v1","first_computed_at":"2026-05-21T01:05:36.313270Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"LoCar: Localization-Aware Evaluation of In-Vehicle Assistants through Fine-Grained Sociolinguistic Control","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Alice Oh, Eunsu Kim, Jaeho Kim, Ken E. Friedl, Kiwoong Park, Seogyeong Jeong, Seyoung Song","submitted_at":"2026-05-20T12:21:15Z","abstract_excerpt":"While Large Language Models (LLMs) are increasingly integrated into in-vehicle conversational systems, identifying the optimal model remains challenging due to the lack of domain-specific evaluation standards tailored to real-world deployment requirements. In this paper, we propose a novel evaluation framework for in-vehicle assistants, with a particular focus on Korean-language localization. Our empirical analysis reveals notable patterns in model behavior. First, fine-grained Korean honorific control remains unstable in current LLMs, indicating that precise speech-level realization must be e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.21086","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/2605.21086/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":"2605.21086","created_at":"2026-05-21T01:05:36.313417+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.21086v1","created_at":"2026-05-21T01:05:36.313417+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.21086","created_at":"2026-05-21T01:05:36.313417+00:00"},{"alias_kind":"pith_short_12","alias_value":"T2NIPBOTZILV","created_at":"2026-05-21T01:05:36.313417+00:00"},{"alias_kind":"pith_short_16","alias_value":"T2NIPBOTZILVJBMW","created_at":"2026-05-21T01:05:36.313417+00:00"},{"alias_kind":"pith_short_8","alias_value":"T2NIPBOT","created_at":"2026-05-21T01:05:36.313417+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/T2NIPBOTZILVJBMWBWS2EWFDFV","json":"https://pith.science/pith/T2NIPBOTZILVJBMWBWS2EWFDFV.json","graph_json":"https://pith.science/api/pith-number/T2NIPBOTZILVJBMWBWS2EWFDFV/graph.json","events_json":"https://pith.science/api/pith-number/T2NIPBOTZILVJBMWBWS2EWFDFV/events.json","paper":"https://pith.science/paper/T2NIPBOT"},"agent_actions":{"view_html":"https://pith.science/pith/T2NIPBOTZILVJBMWBWS2EWFDFV","download_json":"https://pith.science/pith/T2NIPBOTZILVJBMWBWS2EWFDFV.json","view_paper":"https://pith.science/paper/T2NIPBOT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.21086&json=true","fetch_graph":"https://pith.science/api/pith-number/T2NIPBOTZILVJBMWBWS2EWFDFV/graph.json","fetch_events":"https://pith.science/api/pith-number/T2NIPBOTZILVJBMWBWS2EWFDFV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/T2NIPBOTZILVJBMWBWS2EWFDFV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/T2NIPBOTZILVJBMWBWS2EWFDFV/action/storage_attestation","attest_author":"https://pith.science/pith/T2NIPBOTZILVJBMWBWS2EWFDFV/action/author_attestation","sign_citation":"https://pith.science/pith/T2NIPBOTZILVJBMWBWS2EWFDFV/action/citation_signature","submit_replication":"https://pith.science/pith/T2NIPBOTZILVJBMWBWS2EWFDFV/action/replication_record"}},"created_at":"2026-05-21T01:05:36.313417+00:00","updated_at":"2026-05-21T01:05:36.313417+00:00"}