{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:FCWEAJ2KWXBH3JAHFSTRL7LYV3","short_pith_number":"pith:FCWEAJ2K","schema_version":"1.0","canonical_sha256":"28ac40274ab5c27da4072ca715fd78aefd945c8c3bf950f5b86f5a0ce99ca6b1","source":{"kind":"arxiv","id":"2606.17441","version":1},"attestation_state":"computed","paper":{"title":"Patients With Personality: Realistic Patient Simulation through Controlled Diversity and Selective Disclosure","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.CY"],"primary_cat":"cs.HC","authors_text":"Avinatan Hassidim, Conrad Ketzer, Dale R. Webster, Daniel Rueckert, Eva Wende, Franziska Hartl, Friederike Jungmann, Mike Schaekermann, Moritz Schlager, Paula Ro{\\ss}m\\\"uller, Paul Hager, Philipp Raffler, Samuel Schmidgall, Yossi Matias, Yun Liu","submitted_at":"2026-05-13T15:26:15Z","abstract_excerpt":"Simulating realistic patient interactions is a key requirement to testing clinical applications of LLMs at scale without time-consuming and expensive user studies. However, existing approaches often lack realism and controllability, often oversharing information unprompted, and failing to capture the wide variability of patient behavior. Here, we introduce PatientsWithPersonality (PWP), a patient simulation framework that generates realistic yet diverse virtual patient responses through explicit personality parametrization over a latent patient state. Grounded in HEXACO, a six-dimensional pers"},"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":"2606.17441","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-13T15:26:15Z","cross_cats_sorted":["cs.AI","cs.CY"],"title_canon_sha256":"a789e4652e5767ce52a4c248156e88bc4438fddbe2d058c3f05aeb9f74ddd39b","abstract_canon_sha256":"57d32041df3824a68da9a7393df5aa307b9379dca3c33e1b6c4de02ca6e05457"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:10:12.930160Z","signature_b64":"wy0ZHMdGATzzmwhLTAFfVkkwIgLhluW7zwoUCUgcsk2M2hCAVpy4DYq45o8SqPyYoeh8h9Rqp4moWQl8J4HgAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"28ac40274ab5c27da4072ca715fd78aefd945c8c3bf950f5b86f5a0ce99ca6b1","last_reissued_at":"2026-06-19T16:10:12.929797Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:10:12.929797Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Patients With Personality: Realistic Patient Simulation through Controlled Diversity and Selective Disclosure","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.CY"],"primary_cat":"cs.HC","authors_text":"Avinatan Hassidim, Conrad Ketzer, Dale R. Webster, Daniel Rueckert, Eva Wende, Franziska Hartl, Friederike Jungmann, Mike Schaekermann, Moritz Schlager, Paula Ro{\\ss}m\\\"uller, Paul Hager, Philipp Raffler, Samuel Schmidgall, Yossi Matias, Yun Liu","submitted_at":"2026-05-13T15:26:15Z","abstract_excerpt":"Simulating realistic patient interactions is a key requirement to testing clinical applications of LLMs at scale without time-consuming and expensive user studies. However, existing approaches often lack realism and controllability, often oversharing information unprompted, and failing to capture the wide variability of patient behavior. Here, we introduce PatientsWithPersonality (PWP), a patient simulation framework that generates realistic yet diverse virtual patient responses through explicit personality parametrization over a latent patient state. Grounded in HEXACO, a six-dimensional pers"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.17441","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/2606.17441/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":"2606.17441","created_at":"2026-06-19T16:10:12.929860+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.17441v1","created_at":"2026-06-19T16:10:12.929860+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.17441","created_at":"2026-06-19T16:10:12.929860+00:00"},{"alias_kind":"pith_short_12","alias_value":"FCWEAJ2KWXBH","created_at":"2026-06-19T16:10:12.929860+00:00"},{"alias_kind":"pith_short_16","alias_value":"FCWEAJ2KWXBH3JAH","created_at":"2026-06-19T16:10:12.929860+00:00"},{"alias_kind":"pith_short_8","alias_value":"FCWEAJ2K","created_at":"2026-06-19T16:10:12.929860+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/FCWEAJ2KWXBH3JAHFSTRL7LYV3","json":"https://pith.science/pith/FCWEAJ2KWXBH3JAHFSTRL7LYV3.json","graph_json":"https://pith.science/api/pith-number/FCWEAJ2KWXBH3JAHFSTRL7LYV3/graph.json","events_json":"https://pith.science/api/pith-number/FCWEAJ2KWXBH3JAHFSTRL7LYV3/events.json","paper":"https://pith.science/paper/FCWEAJ2K"},"agent_actions":{"view_html":"https://pith.science/pith/FCWEAJ2KWXBH3JAHFSTRL7LYV3","download_json":"https://pith.science/pith/FCWEAJ2KWXBH3JAHFSTRL7LYV3.json","view_paper":"https://pith.science/paper/FCWEAJ2K","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.17441&json=true","fetch_graph":"https://pith.science/api/pith-number/FCWEAJ2KWXBH3JAHFSTRL7LYV3/graph.json","fetch_events":"https://pith.science/api/pith-number/FCWEAJ2KWXBH3JAHFSTRL7LYV3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FCWEAJ2KWXBH3JAHFSTRL7LYV3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FCWEAJ2KWXBH3JAHFSTRL7LYV3/action/storage_attestation","attest_author":"https://pith.science/pith/FCWEAJ2KWXBH3JAHFSTRL7LYV3/action/author_attestation","sign_citation":"https://pith.science/pith/FCWEAJ2KWXBH3JAHFSTRL7LYV3/action/citation_signature","submit_replication":"https://pith.science/pith/FCWEAJ2KWXBH3JAHFSTRL7LYV3/action/replication_record"}},"created_at":"2026-06-19T16:10:12.929860+00:00","updated_at":"2026-06-19T16:10:12.929860+00:00"}