{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:3QNROD43ESPITONZKCBMQF2N63","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":"7dd0da678677cfc588b824dba65896ff449d1d5745e3afb7d00ffd0be4ec2da6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-06-22T03:55:28Z","title_canon_sha256":"5e3bc8213a7544c055edaed52164f268d4abc6c8bb255e3787817efecc8b2756"},"schema_version":"1.0","source":{"id":"1706.07160","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.07160","created_at":"2026-05-18T00:13:11Z"},{"alias_kind":"arxiv_version","alias_value":"1706.07160v3","created_at":"2026-05-18T00:13:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.07160","created_at":"2026-05-18T00:13:11Z"},{"alias_kind":"pith_short_12","alias_value":"3QNROD43ESPI","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_16","alias_value":"3QNROD43ESPITONZ","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_8","alias_value":"3QNROD43","created_at":"2026-05-18T12:30:58Z"}],"graph_snapshots":[{"event_id":"sha256:1ec6a30b4fe65bdeaf96f755fcb802a950c4dc16d98b3b2453bbc085d4bc256b","target":"graph","created_at":"2026-05-18T00:13:11Z","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"},"paper":{"abstract_excerpt":"Explaining the behavior of a black box machine learning model at the instance level is useful for building trust. However, it is also important to understand how the model behaves globally. Such an understanding provides insight into both the data on which the model was trained and the patterns that it learned. We present here an approach that learns if-then rules to globally explain the behavior of black box machine learning models that have been used to solve classification problems. The approach works by first extracting conditions that were important at the instance level and then evolving","authors_text":"Balaji Krishnamurthy, Nikaash Puri, Piyush Gupta, Pratiksha Agarwal, Sukriti Verma","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-06-22T03:55:28Z","title":"MAGIX: Model Agnostic Globally Interpretable Explanations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.07160","kind":"arxiv","version":3},"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":"sha256:02fa9566320d8af86030ebb540cd8d25b34c8909b120d6a06148620c45c85260","target":"record","created_at":"2026-05-18T00:13:11Z","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":"7dd0da678677cfc588b824dba65896ff449d1d5745e3afb7d00ffd0be4ec2da6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-06-22T03:55:28Z","title_canon_sha256":"5e3bc8213a7544c055edaed52164f268d4abc6c8bb255e3787817efecc8b2756"},"schema_version":"1.0","source":{"id":"1706.07160","kind":"arxiv","version":3}},"canonical_sha256":"dc1b170f9b249e89b9b95082c8174df6ef4c2f9645335afa93ccf000c25fab42","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dc1b170f9b249e89b9b95082c8174df6ef4c2f9645335afa93ccf000c25fab42","first_computed_at":"2026-05-18T00:13:11.115839Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:13:11.115839Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pAP+nluqSXLudKdNEZYvvyilub2E8vr8aJ11QIl43JkdhFW38r2Sz6m4TQPwdaHC8otTTpsbigzkz7J9MQgfCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:13:11.116589Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.07160","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:02fa9566320d8af86030ebb540cd8d25b34c8909b120d6a06148620c45c85260","sha256:1ec6a30b4fe65bdeaf96f755fcb802a950c4dc16d98b3b2453bbc085d4bc256b"],"state_sha256":"c243bc36da174c892bdb8e514310e908a17e8c803e86655210d14fdf08e4f021"}