{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:F72CTJ76R2WVCVLRLSRVI7KNXY","short_pith_number":"pith:F72CTJ76","schema_version":"1.0","canonical_sha256":"2ff429a7fe8ead5155715ca3547d4dbe1d7378fdc78abca53a3606f9fb7c4698","source":{"kind":"arxiv","id":"2503.09639","version":4},"attestation_state":"computed","paper":{"title":"Can A Society of Generative Agents Simulate Human Behavior and Inform Public Health Policy? A Case Study on Vaccine Hesitancy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.CY","cs.HC"],"primary_cat":"cs.MA","authors_text":"Abe Bohan Hou, Daniel Khashabi, Hongru Du, Jingyu Zhang, Lauren Gardner, Paul Pu Liang, Tianxing He, Yichen Wang, Zixiao Wang","submitted_at":"2025-03-12T02:54:15Z","abstract_excerpt":"Can we simulate a sandbox society with generative agents to model human behavior, thereby reducing the over-reliance on real human trials for assessing public policies? In this work, we investigate the feasibility of simulating health-related decision-making, using vaccine hesitancy, defined as the delay in acceptance or refusal of vaccines despite the availability of vaccination services (MacDonald, 2015), as a case study. To this end, we introduce the VacSim framework with 100 generative agents powered by Large Language Models (LLMs). VacSim simulates vaccine policy outcomes with the followi"},"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":"2503.09639","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2025-03-12T02:54:15Z","cross_cats_sorted":["cs.AI","cs.CL","cs.CY","cs.HC"],"title_canon_sha256":"9536d985c18aa344685dfebfc374024b2828dbc9866d055fe7f4d36c0bf7fb47","abstract_canon_sha256":"1e7973abd2041bd6b5b4bf481509a4830ee4a008892cf6ee080bb665e944fa4d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:35:54.313250Z","signature_b64":"hov1sX07X7ie/qAv0Ro+kTnVM6WuAQeDqgb6he9r/G6JE/Gf3lZDC2jpyObMY0iy5v67kwOhrPIbvJ0OYTaHDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2ff429a7fe8ead5155715ca3547d4dbe1d7378fdc78abca53a3606f9fb7c4698","last_reissued_at":"2026-07-05T11:35:54.312821Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:35:54.312821Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Can A Society of Generative Agents Simulate Human Behavior and Inform Public Health Policy? A Case Study on Vaccine Hesitancy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.CY","cs.HC"],"primary_cat":"cs.MA","authors_text":"Abe Bohan Hou, Daniel Khashabi, Hongru Du, Jingyu Zhang, Lauren Gardner, Paul Pu Liang, Tianxing He, Yichen Wang, Zixiao Wang","submitted_at":"2025-03-12T02:54:15Z","abstract_excerpt":"Can we simulate a sandbox society with generative agents to model human behavior, thereby reducing the over-reliance on real human trials for assessing public policies? In this work, we investigate the feasibility of simulating health-related decision-making, using vaccine hesitancy, defined as the delay in acceptance or refusal of vaccines despite the availability of vaccination services (MacDonald, 2015), as a case study. To this end, we introduce the VacSim framework with 100 generative agents powered by Large Language Models (LLMs). VacSim simulates vaccine policy outcomes with the followi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.09639","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/2503.09639/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":"2503.09639","created_at":"2026-07-05T11:35:54.312879+00:00"},{"alias_kind":"arxiv_version","alias_value":"2503.09639v4","created_at":"2026-07-05T11:35:54.312879+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.09639","created_at":"2026-07-05T11:35:54.312879+00:00"},{"alias_kind":"pith_short_12","alias_value":"F72CTJ76R2WV","created_at":"2026-07-05T11:35:54.312879+00:00"},{"alias_kind":"pith_short_16","alias_value":"F72CTJ76R2WVCVLR","created_at":"2026-07-05T11:35:54.312879+00:00"},{"alias_kind":"pith_short_8","alias_value":"F72CTJ76","created_at":"2026-07-05T11:35:54.312879+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.27397","citing_title":"SidConArena: An Environment Evaluating Agents in Open-Ended,Positive-Sum Bargaining Game","ref_index":16,"is_internal_anchor":false},{"citing_arxiv_id":"2605.18890","citing_title":"Stop Drawing Scientific Claims from LLM Social Simulations Without Robustness Audits","ref_index":28,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/F72CTJ76R2WVCVLRLSRVI7KNXY","json":"https://pith.science/pith/F72CTJ76R2WVCVLRLSRVI7KNXY.json","graph_json":"https://pith.science/api/pith-number/F72CTJ76R2WVCVLRLSRVI7KNXY/graph.json","events_json":"https://pith.science/api/pith-number/F72CTJ76R2WVCVLRLSRVI7KNXY/events.json","paper":"https://pith.science/paper/F72CTJ76"},"agent_actions":{"view_html":"https://pith.science/pith/F72CTJ76R2WVCVLRLSRVI7KNXY","download_json":"https://pith.science/pith/F72CTJ76R2WVCVLRLSRVI7KNXY.json","view_paper":"https://pith.science/paper/F72CTJ76","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2503.09639&json=true","fetch_graph":"https://pith.science/api/pith-number/F72CTJ76R2WVCVLRLSRVI7KNXY/graph.json","fetch_events":"https://pith.science/api/pith-number/F72CTJ76R2WVCVLRLSRVI7KNXY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/F72CTJ76R2WVCVLRLSRVI7KNXY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/F72CTJ76R2WVCVLRLSRVI7KNXY/action/storage_attestation","attest_author":"https://pith.science/pith/F72CTJ76R2WVCVLRLSRVI7KNXY/action/author_attestation","sign_citation":"https://pith.science/pith/F72CTJ76R2WVCVLRLSRVI7KNXY/action/citation_signature","submit_replication":"https://pith.science/pith/F72CTJ76R2WVCVLRLSRVI7KNXY/action/replication_record"}},"created_at":"2026-07-05T11:35:54.312879+00:00","updated_at":"2026-07-05T11:35:54.312879+00:00"}