{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:UMNY5MH6FJBHIX7SNOC4656DOD","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":"7b55b9c057bae89f386f498371648587e6dd696d8386cc8e00c625aeb2d5d8b0","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.HC","submitted_at":"2022-05-10T19:08:10Z","title_canon_sha256":"05e3f3def9f857148f799a1eccf6623cf9ef98b0f39a8522b5378e267eaa7d5d"},"schema_version":"1.0","source":{"id":"2205.05126","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.05126","created_at":"2026-07-05T04:28:11Z"},{"alias_kind":"arxiv_version","alias_value":"2205.05126v2","created_at":"2026-07-05T04:28:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.05126","created_at":"2026-07-05T04:28:11Z"},{"alias_kind":"pith_short_12","alias_value":"UMNY5MH6FJBH","created_at":"2026-07-05T04:28:11Z"},{"alias_kind":"pith_short_16","alias_value":"UMNY5MH6FJBHIX7S","created_at":"2026-07-05T04:28:11Z"},{"alias_kind":"pith_short_8","alias_value":"UMNY5MH6","created_at":"2026-07-05T04:28:11Z"}],"graph_snapshots":[{"event_id":"sha256:6235646d4d277ded868c87b2bd93a0e5add38fe965b0a2d0b3a387a7f7547bd5","target":"graph","created_at":"2026-07-05T04:28:11Z","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/2205.05126/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Research in artificial intelligence (AI)-assisted decision-making is experiencing tremendous growth with a constantly rising number of studies evaluating the effect of AI with and without techniques from the field of explainable AI (XAI) on human decision-making performance. However, as tasks and experimental setups vary due to different objectives, some studies report improved user decision-making performance through XAI, while others report only negligible effects. Therefore, in this article, we present an initial synthesis of existing research on XAI studies using a statistical meta-analysi","authors_text":"Maximilian Nitsche, Max Schemmer, Michael V\\\"ossing, Niklas K\\\"uhl, Patrick Hemmer","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.HC","submitted_at":"2022-05-10T19:08:10Z","title":"A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.05126","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":"sha256:830d48e797c9f9a5bee9073d678781270bc0e7bedf7190012f3b59862051ed3d","target":"record","created_at":"2026-07-05T04:28:11Z","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":"7b55b9c057bae89f386f498371648587e6dd696d8386cc8e00c625aeb2d5d8b0","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.HC","submitted_at":"2022-05-10T19:08:10Z","title_canon_sha256":"05e3f3def9f857148f799a1eccf6623cf9ef98b0f39a8522b5378e267eaa7d5d"},"schema_version":"1.0","source":{"id":"2205.05126","kind":"arxiv","version":2}},"canonical_sha256":"a31b8eb0fe2a42745ff26b85cf77c370c0b39cb74bf837af79313eb13b6b5c1f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a31b8eb0fe2a42745ff26b85cf77c370c0b39cb74bf837af79313eb13b6b5c1f","first_computed_at":"2026-07-05T04:28:11.397030Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:28:11.397030Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WoIUEEybx4MTCUORo5FL4AIM3iIBL4qfewSxZwrMF58/ae8oYm8SVrtEvvqLrdTSKzqcAcGz+rcyVVpSg+ufCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:28:11.397433Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.05126","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:830d48e797c9f9a5bee9073d678781270bc0e7bedf7190012f3b59862051ed3d","sha256:6235646d4d277ded868c87b2bd93a0e5add38fe965b0a2d0b3a387a7f7547bd5"],"state_sha256":"ae28310a0b448db205fc56365defee4cbbe999daa20c725a977a18dba5c2be00"}