{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:7I44BWEY6RJHSMRFEPFWD2FXC4","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"69ed2a8acb717aae4c83b760ef76c66c5d284aa497e10f7962e306064d9c17e5","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2023-11-21T16:20:49Z","title_canon_sha256":"88f709bd2944a301185b2a90746367e16793e4a69d30ed62c568462f731cf41c"},"schema_version":"1.0","source":{"id":"2311.12707","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.12707","created_at":"2026-07-05T08:40:57Z"},{"alias_kind":"arxiv_version","alias_value":"2311.12707v2","created_at":"2026-07-05T08:40:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.12707","created_at":"2026-07-05T08:40:57Z"},{"alias_kind":"pith_short_12","alias_value":"7I44BWEY6RJH","created_at":"2026-07-05T08:40:57Z"},{"alias_kind":"pith_short_16","alias_value":"7I44BWEY6RJHSMRF","created_at":"2026-07-05T08:40:57Z"},{"alias_kind":"pith_short_8","alias_value":"7I44BWEY","created_at":"2026-07-05T08:40:57Z"}],"graph_snapshots":[{"event_id":"sha256:3e690d6e09a5a990c72895fa57006fd616468578db01a1341a2a866de60cfb6e","target":"graph","created_at":"2026-07-05T08:40:57Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2311.12707/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Standardized, validated questionnaires are vital tools in research and healthcare, offering dependable self-report data. Prior work has revealed that virtual agent-administered questionnaires are almost equivalent to self-administered ones in an electronic form. Despite being an engaging method, repeated use of virtual agent-administered questionnaires in longitudinal or pre-post studies can induce respondent fatigue, impacting data quality via response biases and decreased response rates. We propose using large language models (LLMs) to generate diverse questionnaire versions while retaining ","authors_text":"Hye Sun Yun, James W. Griffith, Mehdi Arjmand, Michael K. Paasche-Orlow, Phillip Sherlock, Timothy Bickmore","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2023-11-21T16:20:49Z","title":"Keeping Users Engaged During Repeated Administration of the Same Questionnaire: Using Large Language Models to Reliably Diversify Questions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.12707","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:16c1e4a8a12f67096eecb57bc68c407518c78f0c59b6867e8496556de2d00303","target":"record","created_at":"2026-07-05T08:40:57Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"69ed2a8acb717aae4c83b760ef76c66c5d284aa497e10f7962e306064d9c17e5","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2023-11-21T16:20:49Z","title_canon_sha256":"88f709bd2944a301185b2a90746367e16793e4a69d30ed62c568462f731cf41c"},"schema_version":"1.0","source":{"id":"2311.12707","kind":"arxiv","version":2}},"canonical_sha256":"fa39c0d898f45279322523cb61e8b71716538bb92027d03ed90117c20a7bd16f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fa39c0d898f45279322523cb61e8b71716538bb92027d03ed90117c20a7bd16f","first_computed_at":"2026-07-05T08:40:57.020269Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:40:57.020269Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VVnZTTDYHknzLQDH5SQw8weV6aCCT4B/zN6LxSkHOuCJ/AFW+/iCL01UphIJk2VFBInkcyrmHEhr1DbEAQUsAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:40:57.020693Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.12707","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:16c1e4a8a12f67096eecb57bc68c407518c78f0c59b6867e8496556de2d00303","sha256:3e690d6e09a5a990c72895fa57006fd616468578db01a1341a2a866de60cfb6e"],"state_sha256":"00c761f17ab1e89a6783c0139e992667bc3eb910af98ab17c8766241c8e1eb01"}