{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:GEO6BGKIZHKFG2YUQSSRNXV4AV","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":"57fe11a2d02ddb31f56fbd648c3533199302f93631076f2d0e9d655aab614ccc","cross_cats_sorted":["cs.IT","math.IT","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-09-05T15:21:25Z","title_canon_sha256":"20b0578e6e6a5643ccc34da4771accfcadc4367ac72f7234576a0510307d9fb8"},"schema_version":"1.0","source":{"id":"1709.01447","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.01447","created_at":"2026-05-18T00:36:00Z"},{"alias_kind":"arxiv_version","alias_value":"1709.01447v1","created_at":"2026-05-18T00:36:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.01447","created_at":"2026-05-18T00:36:00Z"},{"alias_kind":"pith_short_12","alias_value":"GEO6BGKIZHKF","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_16","alias_value":"GEO6BGKIZHKFG2YU","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_8","alias_value":"GEO6BGKI","created_at":"2026-05-18T12:31:15Z"}],"graph_snapshots":[{"event_id":"sha256:fa2b814284b3c00edc10052f164338c9a3a1f671d0354fba30342eddc14727b6","target":"graph","created_at":"2026-05-18T00:36:00Z","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":"Conditional independence testing is a fundamental problem underlying causal discovery and a particularly challenging task in the presence of nonlinear and high-dimensional dependencies. Here a fully non-parametric test for continuous data based on conditional mutual information combined with a local permutation scheme is presented. Through a nearest neighbor approach, the test efficiently adapts also to non-smooth distributions due to strongly nonlinear dependencies. Numerical experiments demonstrate that the test reliably simulates the null distribution even for small sample sizes and with hi","authors_text":"Jakob Runge","cross_cats":["cs.IT","math.IT","stat.ME"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-09-05T15:21:25Z","title":"Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.01447","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":"sha256:1ae3ce7f5ef3bac6a71a39120bbec6ded452b54cd9024fb8382e675d30b6425b","target":"record","created_at":"2026-05-18T00:36:00Z","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":"57fe11a2d02ddb31f56fbd648c3533199302f93631076f2d0e9d655aab614ccc","cross_cats_sorted":["cs.IT","math.IT","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-09-05T15:21:25Z","title_canon_sha256":"20b0578e6e6a5643ccc34da4771accfcadc4367ac72f7234576a0510307d9fb8"},"schema_version":"1.0","source":{"id":"1709.01447","kind":"arxiv","version":1}},"canonical_sha256":"311de09948c9d4536b1484a516debc0562c090318d8948dd628dfd345e9eda5f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"311de09948c9d4536b1484a516debc0562c090318d8948dd628dfd345e9eda5f","first_computed_at":"2026-05-18T00:36:00.074392Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:36:00.074392Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dCpzDaiihbEB21AUmjlZKCOWQT9l7BTdvjC6OszYsEI+K0S7VJDePZfbxqrU1BqS20cP41q0k6SzZD370oHkDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:36:00.074773Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.01447","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1ae3ce7f5ef3bac6a71a39120bbec6ded452b54cd9024fb8382e675d30b6425b","sha256:fa2b814284b3c00edc10052f164338c9a3a1f671d0354fba30342eddc14727b6"],"state_sha256":"5f090bb0c6227ac3d8b5c3809f0ba84bc357bfa6cbcb001973f5d83b804c5118"}