{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:MDBFGIJTMFDQC4OCYLKPDIQODH","short_pith_number":"pith:MDBFGIJT","schema_version":"1.0","canonical_sha256":"60c253213361470171c2c2d4f1a20e19daeb274ece26c30e76169f1fa1417a42","source":{"kind":"arxiv","id":"2304.09823","version":4},"attestation_state":"computed","paper":{"title":"The Future of ChatGPT-enabled Labor Market: A Preliminary Study in China","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CY","authors_text":"Hengshu Zhu, Lan Chen, Meng Chang, Shiyu Wu, Xi Chen, Yaqi Yang","submitted_at":"2023-04-14T06:56:35Z","abstract_excerpt":"As a phenomenal large language model, ChatGPT has achieved unparalleled success in various real-world tasks and increasingly plays an important role in our daily lives and work. However, extensive concerns are also raised about the potential ethical issues, especially about whether ChatGPT-like artificial general intelligence (AGI) will replace human jobs. To this end, in this paper, we introduce a preliminary data-driven study on the future of ChatGPT-enabled labor market from the view of Human-AI Symbiosis instead of Human-AI Confrontation. To be specific, we first conduct an in-depth analys"},"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":"2304.09823","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2023-04-14T06:56:35Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"454d1e2264a2d8ad6ec0cab4e9a2a9dd32ba772758261da4d783d06c000fe565","abstract_canon_sha256":"2d865749c6f663801481cf7e3706dbc4c97fef75f764b146a3e23a60d8dd0e3f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:08:56.374775Z","signature_b64":"J8tCVE86XRSQmCcWP3mxJJnuaEVNrxa7rMeW/l9qoHlgL6Loq6MeoYKSVQtz0vTZLO4GbBZ/p/eWND89vfkqCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"60c253213361470171c2c2d4f1a20e19daeb274ece26c30e76169f1fa1417a42","last_reissued_at":"2026-07-05T07:08:56.374209Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:08:56.374209Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Future of ChatGPT-enabled Labor Market: A Preliminary Study in China","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CY","authors_text":"Hengshu Zhu, Lan Chen, Meng Chang, Shiyu Wu, Xi Chen, Yaqi Yang","submitted_at":"2023-04-14T06:56:35Z","abstract_excerpt":"As a phenomenal large language model, ChatGPT has achieved unparalleled success in various real-world tasks and increasingly plays an important role in our daily lives and work. However, extensive concerns are also raised about the potential ethical issues, especially about whether ChatGPT-like artificial general intelligence (AGI) will replace human jobs. To this end, in this paper, we introduce a preliminary data-driven study on the future of ChatGPT-enabled labor market from the view of Human-AI Symbiosis instead of Human-AI Confrontation. To be specific, we first conduct an in-depth analys"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.09823","kind":"arxiv","version":4},"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/2304.09823/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":"2304.09823","created_at":"2026-07-05T07:08:56.374289+00:00"},{"alias_kind":"arxiv_version","alias_value":"2304.09823v4","created_at":"2026-07-05T07:08:56.374289+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.09823","created_at":"2026-07-05T07:08:56.374289+00:00"},{"alias_kind":"pith_short_12","alias_value":"MDBFGIJTMFDQ","created_at":"2026-07-05T07:08:56.374289+00:00"},{"alias_kind":"pith_short_16","alias_value":"MDBFGIJTMFDQC4OC","created_at":"2026-07-05T07:08:56.374289+00:00"},{"alias_kind":"pith_short_8","alias_value":"MDBFGIJT","created_at":"2026-07-05T07:08:56.374289+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/MDBFGIJTMFDQC4OCYLKPDIQODH","json":"https://pith.science/pith/MDBFGIJTMFDQC4OCYLKPDIQODH.json","graph_json":"https://pith.science/api/pith-number/MDBFGIJTMFDQC4OCYLKPDIQODH/graph.json","events_json":"https://pith.science/api/pith-number/MDBFGIJTMFDQC4OCYLKPDIQODH/events.json","paper":"https://pith.science/paper/MDBFGIJT"},"agent_actions":{"view_html":"https://pith.science/pith/MDBFGIJTMFDQC4OCYLKPDIQODH","download_json":"https://pith.science/pith/MDBFGIJTMFDQC4OCYLKPDIQODH.json","view_paper":"https://pith.science/paper/MDBFGIJT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2304.09823&json=true","fetch_graph":"https://pith.science/api/pith-number/MDBFGIJTMFDQC4OCYLKPDIQODH/graph.json","fetch_events":"https://pith.science/api/pith-number/MDBFGIJTMFDQC4OCYLKPDIQODH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MDBFGIJTMFDQC4OCYLKPDIQODH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MDBFGIJTMFDQC4OCYLKPDIQODH/action/storage_attestation","attest_author":"https://pith.science/pith/MDBFGIJTMFDQC4OCYLKPDIQODH/action/author_attestation","sign_citation":"https://pith.science/pith/MDBFGIJTMFDQC4OCYLKPDIQODH/action/citation_signature","submit_replication":"https://pith.science/pith/MDBFGIJTMFDQC4OCYLKPDIQODH/action/replication_record"}},"created_at":"2026-07-05T07:08:56.374289+00:00","updated_at":"2026-07-05T07:08:56.374289+00:00"}