{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:HKRCX7T5VEMV3HO3V734P5CSFC","short_pith_number":"pith:HKRCX7T5","schema_version":"1.0","canonical_sha256":"3aa22bfe7da9195d9ddbaff7c7f45228aa909f2617eeb7659fc0b61f05cc7ac2","source":{"kind":"arxiv","id":"2311.09696","version":2},"attestation_state":"computed","paper":{"title":"Fumbling in Babel: An Investigation into ChatGPT's Language Identification Ability","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ife Adebara, Khai Duy Doan, Muhammad Abdul-Mageed, Qisheng Liao, Wei-Rui Chen","submitted_at":"2023-11-16T09:12:20Z","abstract_excerpt":"ChatGPT has recently emerged as a powerful NLP tool that can carry out a variety of tasks. However, the range of languages ChatGPT can handle remains largely a mystery. To uncover which languages ChatGPT `knows', we investigate its language identification (LID) abilities. For this purpose, we compile Babel-670, a benchmark comprising 670 languages representing 24 language families spoken in five continents. Languages in Babel-670 run the gamut from the very high-resource to the very low-resource. We then study ChatGPT's (both GPT-3.5 and GPT-4) ability to (i) identify language names and langua"},"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":"2311.09696","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-16T09:12:20Z","cross_cats_sorted":[],"title_canon_sha256":"8f66c1545b952d0aac92bd5063c406351e28e2432edb548c2d643bf21f3086b0","abstract_canon_sha256":"424f37b5a876fe5e28ebd279bd9ea9762157094bb271293d6f3d2841e9f3ac98"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:05:52.159882Z","signature_b64":"9GwL8ETyoiWO4lx5h5NE+CxfmirF/SiBLnzXP8VMZ6iN19FXjAKsYHb4LvnJaoaAzx9O6Q3+HSr0nT7JlnKPBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3aa22bfe7da9195d9ddbaff7c7f45228aa909f2617eeb7659fc0b61f05cc7ac2","last_reissued_at":"2026-07-05T08:05:52.159436Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:05:52.159436Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Fumbling in Babel: An Investigation into ChatGPT's Language Identification Ability","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ife Adebara, Khai Duy Doan, Muhammad Abdul-Mageed, Qisheng Liao, Wei-Rui Chen","submitted_at":"2023-11-16T09:12:20Z","abstract_excerpt":"ChatGPT has recently emerged as a powerful NLP tool that can carry out a variety of tasks. However, the range of languages ChatGPT can handle remains largely a mystery. To uncover which languages ChatGPT `knows', we investigate its language identification (LID) abilities. For this purpose, we compile Babel-670, a benchmark comprising 670 languages representing 24 language families spoken in five continents. Languages in Babel-670 run the gamut from the very high-resource to the very low-resource. We then study ChatGPT's (both GPT-3.5 and GPT-4) ability to (i) identify language names and langua"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.09696","kind":"arxiv","version":2},"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/2311.09696/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":"2311.09696","created_at":"2026-07-05T08:05:52.159496+00:00"},{"alias_kind":"arxiv_version","alias_value":"2311.09696v2","created_at":"2026-07-05T08:05:52.159496+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.09696","created_at":"2026-07-05T08:05:52.159496+00:00"},{"alias_kind":"pith_short_12","alias_value":"HKRCX7T5VEMV","created_at":"2026-07-05T08:05:52.159496+00:00"},{"alias_kind":"pith_short_16","alias_value":"HKRCX7T5VEMV3HO3","created_at":"2026-07-05T08:05:52.159496+00:00"},{"alias_kind":"pith_short_8","alias_value":"HKRCX7T5","created_at":"2026-07-05T08:05:52.159496+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/HKRCX7T5VEMV3HO3V734P5CSFC","json":"https://pith.science/pith/HKRCX7T5VEMV3HO3V734P5CSFC.json","graph_json":"https://pith.science/api/pith-number/HKRCX7T5VEMV3HO3V734P5CSFC/graph.json","events_json":"https://pith.science/api/pith-number/HKRCX7T5VEMV3HO3V734P5CSFC/events.json","paper":"https://pith.science/paper/HKRCX7T5"},"agent_actions":{"view_html":"https://pith.science/pith/HKRCX7T5VEMV3HO3V734P5CSFC","download_json":"https://pith.science/pith/HKRCX7T5VEMV3HO3V734P5CSFC.json","view_paper":"https://pith.science/paper/HKRCX7T5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2311.09696&json=true","fetch_graph":"https://pith.science/api/pith-number/HKRCX7T5VEMV3HO3V734P5CSFC/graph.json","fetch_events":"https://pith.science/api/pith-number/HKRCX7T5VEMV3HO3V734P5CSFC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HKRCX7T5VEMV3HO3V734P5CSFC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HKRCX7T5VEMV3HO3V734P5CSFC/action/storage_attestation","attest_author":"https://pith.science/pith/HKRCX7T5VEMV3HO3V734P5CSFC/action/author_attestation","sign_citation":"https://pith.science/pith/HKRCX7T5VEMV3HO3V734P5CSFC/action/citation_signature","submit_replication":"https://pith.science/pith/HKRCX7T5VEMV3HO3V734P5CSFC/action/replication_record"}},"created_at":"2026-07-05T08:05:52.159496+00:00","updated_at":"2026-07-05T08:05:52.159496+00:00"}