{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:B6AMFQYOWJHRKVZJSWTOXCW3FP","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":"98bd135347b16fc23caddd8851e5ed3f7523c0d75ee8c3771c2bf1cbee3761b9","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2021-05-31T09:32:46Z","title_canon_sha256":"8691df71dab9cb77c1e9e8048a7d948b72be910df77ff6c88252b49edcea1498"},"schema_version":"1.0","source":{"id":"2105.14820","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.14820","created_at":"2026-07-05T02:44:41Z"},{"alias_kind":"arxiv_version","alias_value":"2105.14820v1","created_at":"2026-07-05T02:44:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.14820","created_at":"2026-07-05T02:44:41Z"},{"alias_kind":"pith_short_12","alias_value":"B6AMFQYOWJHR","created_at":"2026-07-05T02:44:41Z"},{"alias_kind":"pith_short_16","alias_value":"B6AMFQYOWJHRKVZJ","created_at":"2026-07-05T02:44:41Z"},{"alias_kind":"pith_short_8","alias_value":"B6AMFQYO","created_at":"2026-07-05T02:44:41Z"}],"graph_snapshots":[{"event_id":"sha256:add9c51f60582f7d2624f1faa96cadadbec815cb85b6352fc5e61d07031a7b06","target":"graph","created_at":"2026-07-05T02:44:41Z","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/2105.14820/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Explaining the decisions of machine learning models is becoming a necessity in many areas where trust in ML models decision is key to their accreditation/adoption. The ability to explain models decisions also allows to provide diagnosis in addition to the model decision, which is highly valuable in scenarios such as fault detection. Unfortunately, high-performance models do not exhibit the necessary transparency to make their decisions fully understandable. And the black-boxes approaches, which are used to explain such model decisions, suffer from a lack of accuracy in tracing back the exact c","authors_text":"Pierre Blanchart","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2021-05-31T09:32:46Z","title":"An exact counterfactual-example-based approach to tree-ensemble models interpretability"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.14820","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:c06f3756624b12ba078f7deaba91d4bfa5ea1029da3cba796ecf82c896490546","target":"record","created_at":"2026-07-05T02:44:41Z","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":"98bd135347b16fc23caddd8851e5ed3f7523c0d75ee8c3771c2bf1cbee3761b9","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2021-05-31T09:32:46Z","title_canon_sha256":"8691df71dab9cb77c1e9e8048a7d948b72be910df77ff6c88252b49edcea1498"},"schema_version":"1.0","source":{"id":"2105.14820","kind":"arxiv","version":1}},"canonical_sha256":"0f80c2c30eb24f15572995a6eb8adb2bcf0cb5466ad8c75a45fd612c39bc0075","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0f80c2c30eb24f15572995a6eb8adb2bcf0cb5466ad8c75a45fd612c39bc0075","first_computed_at":"2026-07-05T02:44:41.795690Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:44:41.795690Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ojE40xW3Kk/25g5ZliQntddtOH8NjZ3Urvr+9fvfv0svVcXjWeyiWhHdGHevGrmUY5qgLD8pbUS8EE+F6YsiBA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:44:41.796130Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.14820","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c06f3756624b12ba078f7deaba91d4bfa5ea1029da3cba796ecf82c896490546","sha256:add9c51f60582f7d2624f1faa96cadadbec815cb85b6352fc5e61d07031a7b06"],"state_sha256":"60fd772131022de22e9baa0bf34f9bd7d53489b22b8f5dd66a7ea60efad630a7"}