{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:GD23N5WKWDLLL7EY6WI7S4S7XE","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":"440b5ae0df6d7c006ca534776ac191b6b408847622caa9bbdd16ddee76c6ab9a","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-21T11:54:20Z","title_canon_sha256":"af3ed819269055db363add5d35afaa9707ff5de74409a2b889640dbe67070fb2"},"schema_version":"1.0","source":{"id":"2309.11987","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.11987","created_at":"2026-07-05T06:52:57Z"},{"alias_kind":"arxiv_version","alias_value":"2309.11987v1","created_at":"2026-07-05T06:52:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.11987","created_at":"2026-07-05T06:52:57Z"},{"alias_kind":"pith_short_12","alias_value":"GD23N5WKWDLL","created_at":"2026-07-05T06:52:57Z"},{"alias_kind":"pith_short_16","alias_value":"GD23N5WKWDLLL7EY","created_at":"2026-07-05T06:52:57Z"},{"alias_kind":"pith_short_8","alias_value":"GD23N5WK","created_at":"2026-07-05T06:52:57Z"}],"graph_snapshots":[{"event_id":"sha256:3d124127cae4036d08add75cc17f7d04a52e90a581969b640b4230799da4fcc5","target":"graph","created_at":"2026-07-05T06:52:57Z","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/2309.11987/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Post-hoc explainability methods aim to clarify predictions of black-box machine learning models. However, it is still largely unclear how well users comprehend the provided explanations and whether these increase the users ability to predict the model behavior. We approach this question by conducting a user study to evaluate comprehensibility and predictability in two widely used tools: LIME and SHAP. Moreover, we investigate the effect of counterfactual explanations and misclassifications on users ability to understand and predict the model behavior. We find that the comprehensibility of SHAP","authors_text":"Anahid Jalali, Andreas Rauber, Bernhard Haslhofer, Simone Kriglstein","cross_cats":["cs.AI","cs.HC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-21T11:54:20Z","title":"Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.11987","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":"sha256:31f76da18653f92acc33d0b6ecb9843a55880a1bd74d7ab3c1d262a73ac2bef3","target":"record","created_at":"2026-07-05T06:52:57Z","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":"440b5ae0df6d7c006ca534776ac191b6b408847622caa9bbdd16ddee76c6ab9a","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-21T11:54:20Z","title_canon_sha256":"af3ed819269055db363add5d35afaa9707ff5de74409a2b889640dbe67070fb2"},"schema_version":"1.0","source":{"id":"2309.11987","kind":"arxiv","version":1}},"canonical_sha256":"30f5b6f6cab0d6b5fc98f591f9725fb9348842a7e364aaf53cec6029697cc245","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"30f5b6f6cab0d6b5fc98f591f9725fb9348842a7e364aaf53cec6029697cc245","first_computed_at":"2026-07-05T06:52:57.380560Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:52:57.380560Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JlrCX4WKxS9ka/oByW+cUXvnvi+Z0LkT3m7cYQEzqROayGB9BZUAOM0kBfdHjlLzCwQDO/b8DF0DbRq/FxF2Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:52:57.381201Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.11987","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:31f76da18653f92acc33d0b6ecb9843a55880a1bd74d7ab3c1d262a73ac2bef3","sha256:3d124127cae4036d08add75cc17f7d04a52e90a581969b640b4230799da4fcc5"],"state_sha256":"dd34f97a1258dae0ff6094115b4d38a54bf537cbb69b21bdd6f52cf76675f2eb"}