{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ISMOV7G5EWB77NF3NM4FVH67GS","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":"3cd1c941e4e13264855c120906f6995207ee0f82a65708ee576ca5dd9f811708","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-18T12:20:20Z","title_canon_sha256":"e56254f9e1d2ac69ec5dc210c6349d2151e855d9c40cb6ef3187ee444c9ef1a9"},"schema_version":"1.0","source":{"id":"2605.18302","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18302","created_at":"2026-05-20T00:05:54Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18302v1","created_at":"2026-05-20T00:05:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18302","created_at":"2026-05-20T00:05:54Z"},{"alias_kind":"pith_short_12","alias_value":"ISMOV7G5EWB7","created_at":"2026-05-20T00:05:54Z"},{"alias_kind":"pith_short_16","alias_value":"ISMOV7G5EWB77NF3","created_at":"2026-05-20T00:05:54Z"},{"alias_kind":"pith_short_8","alias_value":"ISMOV7G5","created_at":"2026-05-20T00:05:54Z"}],"graph_snapshots":[{"event_id":"sha256:aeead343fd8491160e8efb58b0a32c607c1c5a327a9f3001c7a0dfea7094f257","target":"graph","created_at":"2026-05-20T00:05:54Z","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":[{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T23:33:35.209770Z","status":"skipped","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T23:21:58.897666Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.18302/integrity.json","findings":[],"snapshot_sha256":"b1a111f093c186692309c46c14fa465fa0e3fc1ba93b762b7d95c3fa360c5b9d","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Synthetic participants represent a methodologically concerning concept that threatens the integrity of UX research. Findings from previous experiments specify how AI outputs are misaligned with the behaviors and thoughts of real humans in various ways. However, industry voices keep underestimating their severity, advocating for practical compromises where good-enough data does not need to be perfect, and all issues will be solved by future tuning. Our study tackles the lack of systematic understanding of the practical issues that arise with synthetic behavior and its use for steering decisions","authors_text":"Eduard Kuric, Matus Krajcovic, Peter Demcak","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-18T12:20:20Z","title":"What Would GPT Click: Practical Effects of Human-AI Behavioral Misalignment and the Cost of Synthetic Participants in User Experience"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18302","kind":"arxiv","version":1},"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":"sha256:6659b0b8b88be9ef0ccfe40821c92131d18143c4a38015145a8036d931ccd976","target":"record","created_at":"2026-05-20T00:05:54Z","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":"3cd1c941e4e13264855c120906f6995207ee0f82a65708ee576ca5dd9f811708","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-18T12:20:20Z","title_canon_sha256":"e56254f9e1d2ac69ec5dc210c6349d2151e855d9c40cb6ef3187ee444c9ef1a9"},"schema_version":"1.0","source":{"id":"2605.18302","kind":"arxiv","version":1}},"canonical_sha256":"4498eafcdd2583ffb4bb6b385a9fdf34b525d22834cd3cbba2300f6c65d184c0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4498eafcdd2583ffb4bb6b385a9fdf34b525d22834cd3cbba2300f6c65d184c0","first_computed_at":"2026-05-20T00:05:54.179948Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:05:54.179948Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FzNyQRPCbs1IbsSBruL3uQh74HG0fFkfk4VKGtfQK/os1156iTPA4w/zjm1wcAVfb1XmVF5eV6841Gi7HR2lDg==","signature_status":"signed_v1","signed_at":"2026-05-20T00:05:54.180663Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.18302","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6659b0b8b88be9ef0ccfe40821c92131d18143c4a38015145a8036d931ccd976","sha256:aeead343fd8491160e8efb58b0a32c607c1c5a327a9f3001c7a0dfea7094f257"],"state_sha256":"b7c3725a23f6e3cdac8cfe9243e44712fb3e07e578b1941c4d1fbe55bbc98ac7"}