{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:GGT3PWEYYYDWSFBLSUBJ2226TT","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":"f781c70a784f4dd1585cb512103a86a53b2c409e873ac19f7420611fd0fbb5c8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2020-12-05T15:41:52Z","title_canon_sha256":"d76200e6266c5d94adec7a7de2352c5924e50c86e4a55e9b8ac1526dd55b40c9"},"schema_version":"1.0","source":{"id":"2012.03058","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.03058","created_at":"2026-07-05T02:44:16Z"},{"alias_kind":"arxiv_version","alias_value":"2012.03058v5","created_at":"2026-07-05T02:44:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.03058","created_at":"2026-07-05T02:44:16Z"},{"alias_kind":"pith_short_12","alias_value":"GGT3PWEYYYDW","created_at":"2026-07-05T02:44:16Z"},{"alias_kind":"pith_short_16","alias_value":"GGT3PWEYYYDWSFBL","created_at":"2026-07-05T02:44:16Z"},{"alias_kind":"pith_short_8","alias_value":"GGT3PWEY","created_at":"2026-07-05T02:44:16Z"}],"graph_snapshots":[{"event_id":"sha256:9af937b5013762885ccbefda263cc4b08bd519d3c7cfb53d5cc1156cdd441a63","target":"graph","created_at":"2026-07-05T02:44:16Z","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/2012.03058/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Given the pressing need for assuring algorithmic transparency, Explainable AI (XAI) has emerged as one of the key areas of AI research. In this paper, we develop a novel Bayesian extension to the LIME framework, one of the most widely used approaches in XAI -- which we call BayLIME. Compared to LIME, BayLIME exploits prior knowledge and Bayesian reasoning to improve both the consistency in repeated explanations of a single prediction and the robustness to kernel settings. BayLIME also exhibits better explanation fidelity than the state-of-the-art (LIME, SHAP and GradCAM) by its ability to inte","authors_text":"David Flynn, Valentin Robu, Wei Huang, Xiaowei Huang, Xingyu Zhao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2020-12-05T15:41:52Z","title":"BayLIME: Bayesian Local Interpretable Model-Agnostic Explanations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.03058","kind":"arxiv","version":5},"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:b3bdc0f7993b59d1bd34c12a9501596f063606bd550320f00d5f1f5f74745090","target":"record","created_at":"2026-07-05T02:44:16Z","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":"f781c70a784f4dd1585cb512103a86a53b2c409e873ac19f7420611fd0fbb5c8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2020-12-05T15:41:52Z","title_canon_sha256":"d76200e6266c5d94adec7a7de2352c5924e50c86e4a55e9b8ac1526dd55b40c9"},"schema_version":"1.0","source":{"id":"2012.03058","kind":"arxiv","version":5}},"canonical_sha256":"31a7b7d898c60769142b95029d6b5e9cd6425d2229ccdfb70e03a28a6747de98","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"31a7b7d898c60769142b95029d6b5e9cd6425d2229ccdfb70e03a28a6747de98","first_computed_at":"2026-07-05T02:44:16.994293Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:44:16.994293Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"elDAajG0ngGvaEq4XpJcEld1W4FCcQfIXtyHLqBSPA6DVBlzNSZuU6ZSz8wbbeWI1S5Mu/i6kwgU264czunCAA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:44:16.994784Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.03058","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b3bdc0f7993b59d1bd34c12a9501596f063606bd550320f00d5f1f5f74745090","sha256:9af937b5013762885ccbefda263cc4b08bd519d3c7cfb53d5cc1156cdd441a63"],"state_sha256":"8ec51e188d465dc1becbf31df5a7488b661713b5961b38789e1abf6d852185e6"}