{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:IYHOWGSYHP25MOPAUTJW2T33JB","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":"62b86044eebbcff24ffb217700a357361b46baff8ae6d79852a255243043a7eb","cross_cats_sorted":["cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2022-12-19T10:19:05Z","title_canon_sha256":"1e2ca1b9971bb4b940e046a113ee390f9d3e1f3c41cb3987c5504c79afb099eb"},"schema_version":"1.0","source":{"id":"2212.09342","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.09342","created_at":"2026-07-05T05:26:21Z"},{"alias_kind":"arxiv_version","alias_value":"2212.09342v1","created_at":"2026-07-05T05:26:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.09342","created_at":"2026-07-05T05:26:21Z"},{"alias_kind":"pith_short_12","alias_value":"IYHOWGSYHP25","created_at":"2026-07-05T05:26:21Z"},{"alias_kind":"pith_short_16","alias_value":"IYHOWGSYHP25MOPA","created_at":"2026-07-05T05:26:21Z"},{"alias_kind":"pith_short_8","alias_value":"IYHOWGSY","created_at":"2026-07-05T05:26:21Z"}],"graph_snapshots":[{"event_id":"sha256:adcc02bef615665741d683c71883acde05cdac306cd0e2daf527c080c5ed8d1e","target":"graph","created_at":"2026-07-05T05:26:21Z","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/2212.09342/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Very few eXplainable AI (XAI) studies consider how users understanding of explanations might change depending on whether they know more or less about the to be explained domain (i.e., whether they differ in their expertise). Yet, expertise is a critical facet of most high stakes, human decision making (e.g., understanding how a trainee doctor differs from an experienced consultant). Accordingly, this paper reports a novel, user study (N=96) on how peoples expertise in a domain affects their understanding of post-hoc explanations by example for a deep-learning, black box classifier. The results","authors_text":"Courtney Ford, Mark T Keane","cross_cats":["cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2022-12-19T10:19:05Z","title":"Explaining Classifications to Non Experts: An XAI User Study of Post Hoc Explanations for a Classifier When People Lack Expertise"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.09342","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":"sha256:7d5634bf581a5c9f0500022cba0c3251d9f95c3e0f38ef57f0ff3c5af3357abf","target":"record","created_at":"2026-07-05T05:26:21Z","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":"62b86044eebbcff24ffb217700a357361b46baff8ae6d79852a255243043a7eb","cross_cats_sorted":["cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2022-12-19T10:19:05Z","title_canon_sha256":"1e2ca1b9971bb4b940e046a113ee390f9d3e1f3c41cb3987c5504c79afb099eb"},"schema_version":"1.0","source":{"id":"2212.09342","kind":"arxiv","version":1}},"canonical_sha256":"460eeb1a583bf5d639e0a4d36d4f7b485df8f2c1a8a904d6e0f2a4b153f75916","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"460eeb1a583bf5d639e0a4d36d4f7b485df8f2c1a8a904d6e0f2a4b153f75916","first_computed_at":"2026-07-05T05:26:21.248064Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:26:21.248064Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"r9OsoLNkaaxisMx0xBt1DKAB5Lw3D10ie3j8ySdK8Zmb2aTVlGlKjbRkgQ88ua65OuTwCl5FdF9WAjwqm1v9Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:26:21.248513Z","signed_message":"canonical_sha256_bytes"},"source_id":"2212.09342","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7d5634bf581a5c9f0500022cba0c3251d9f95c3e0f38ef57f0ff3c5af3357abf","sha256:adcc02bef615665741d683c71883acde05cdac306cd0e2daf527c080c5ed8d1e"],"state_sha256":"96ece957840b78f45f62f79137e99f5a7daed3339c01e45552159e352677eac5"}