{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:YDHBZ5CC4KPQ73747A7EAJB6HX","short_pith_number":"pith:YDHBZ5CC","schema_version":"1.0","canonical_sha256":"c0ce1cf442e29f0feffcf83e40243e3df3010a4e64ee54865bc63f6d3df22fb5","source":{"kind":"arxiv","id":"2307.03952","version":3},"attestation_state":"computed","paper":{"title":"Is ChatGPT a Good Personality Recognizer? A Preliminary Study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Hong Zheng, Liang He, Wen Wu, Xi Chen, Yi Hu, Yu Ji","submitted_at":"2023-07-08T11:02:02Z","abstract_excerpt":"In recent years, personality has been regarded as a valuable personal factor being incorporated into numerous tasks such as sentiment analysis and product recommendation. This has led to widespread attention to text-based personality recognition task, which aims to identify an individual's personality based on given text. Considering that ChatGPT has recently exhibited remarkable abilities on various natural language processing tasks, we provide a preliminary evaluation of ChatGPT on text-based personality recognition task for generating effective personality data. Concretely, we employ a vari"},"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":"2307.03952","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-07-08T11:02:02Z","cross_cats_sorted":[],"title_canon_sha256":"325e59fa3e26a90018ba6737b612b7100f6a8149711a946b8f88777bbaaf7363","abstract_canon_sha256":"a587517493abbb1bc5de4c459e0cf6635c2dabaf58666356b5c972b9e506fbe8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:28:28.815800Z","signature_b64":"ume6Nx2kFHWECF8XuJww+0ctEGZRcQKrI1ajkSgWmOdkHAUKfw0QX/aowaHL4Gs4FIO/wCi/TPatx7p0BI2HDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c0ce1cf442e29f0feffcf83e40243e3df3010a4e64ee54865bc63f6d3df22fb5","last_reissued_at":"2026-07-05T07:28:28.815345Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:28:28.815345Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Is ChatGPT a Good Personality Recognizer? A Preliminary Study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Hong Zheng, Liang He, Wen Wu, Xi Chen, Yi Hu, Yu Ji","submitted_at":"2023-07-08T11:02:02Z","abstract_excerpt":"In recent years, personality has been regarded as a valuable personal factor being incorporated into numerous tasks such as sentiment analysis and product recommendation. This has led to widespread attention to text-based personality recognition task, which aims to identify an individual's personality based on given text. Considering that ChatGPT has recently exhibited remarkable abilities on various natural language processing tasks, we provide a preliminary evaluation of ChatGPT on text-based personality recognition task for generating effective personality data. Concretely, we employ a vari"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.03952","kind":"arxiv","version":3},"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/2307.03952/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":"2307.03952","created_at":"2026-07-05T07:28:28.815401+00:00"},{"alias_kind":"arxiv_version","alias_value":"2307.03952v3","created_at":"2026-07-05T07:28:28.815401+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.03952","created_at":"2026-07-05T07:28:28.815401+00:00"},{"alias_kind":"pith_short_12","alias_value":"YDHBZ5CC4KPQ","created_at":"2026-07-05T07:28:28.815401+00:00"},{"alias_kind":"pith_short_16","alias_value":"YDHBZ5CC4KPQ7374","created_at":"2026-07-05T07:28:28.815401+00:00"},{"alias_kind":"pith_short_8","alias_value":"YDHBZ5CC","created_at":"2026-07-05T07:28:28.815401+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":4,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2607.08374","citing_title":"Large-Language-Models-as-a-Judge in Theory-Agnostic Adaptive Metric-Alignment for Prototypical Networks in Personality Recognition","ref_index":49,"is_internal_anchor":true},{"citing_arxiv_id":"2606.20603","citing_title":"A Survey of Large Language Models for Perception and Measurement of Human Psychology","ref_index":139,"is_internal_anchor":false},{"citing_arxiv_id":"2606.29900","citing_title":"LLM-based Multimodal Personality Recognition via Facial Action Unit-Text Semantic Fusion","ref_index":80,"is_internal_anchor":false},{"citing_arxiv_id":"2604.08851","citing_title":"Cross-Lingual Attention Distillation with Personality-Informed Generative Augmentation for Multilingual Personality Recognition","ref_index":26,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/YDHBZ5CC4KPQ73747A7EAJB6HX","json":"https://pith.science/pith/YDHBZ5CC4KPQ73747A7EAJB6HX.json","graph_json":"https://pith.science/api/pith-number/YDHBZ5CC4KPQ73747A7EAJB6HX/graph.json","events_json":"https://pith.science/api/pith-number/YDHBZ5CC4KPQ73747A7EAJB6HX/events.json","paper":"https://pith.science/paper/YDHBZ5CC"},"agent_actions":{"view_html":"https://pith.science/pith/YDHBZ5CC4KPQ73747A7EAJB6HX","download_json":"https://pith.science/pith/YDHBZ5CC4KPQ73747A7EAJB6HX.json","view_paper":"https://pith.science/paper/YDHBZ5CC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2307.03952&json=true","fetch_graph":"https://pith.science/api/pith-number/YDHBZ5CC4KPQ73747A7EAJB6HX/graph.json","fetch_events":"https://pith.science/api/pith-number/YDHBZ5CC4KPQ73747A7EAJB6HX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YDHBZ5CC4KPQ73747A7EAJB6HX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YDHBZ5CC4KPQ73747A7EAJB6HX/action/storage_attestation","attest_author":"https://pith.science/pith/YDHBZ5CC4KPQ73747A7EAJB6HX/action/author_attestation","sign_citation":"https://pith.science/pith/YDHBZ5CC4KPQ73747A7EAJB6HX/action/citation_signature","submit_replication":"https://pith.science/pith/YDHBZ5CC4KPQ73747A7EAJB6HX/action/replication_record"}},"created_at":"2026-07-05T07:28:28.815401+00:00","updated_at":"2026-07-05T07:28:28.815401+00:00"}