{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:DRUKVYTLG52XYICCQSXRNKY2CT","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":"8574064b91a7f2322e2275b6f3a725a52a2498447dea4cc74dc489fcd52615ba","cross_cats_sorted":["cs.LG","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2015-02-26T17:25:03Z","title_canon_sha256":"26f3b66dc6739e1b82de96ad9c898ed0339f5141213c73d6b3ed56db06ccfbe8"},"schema_version":"1.0","source":{"id":"1502.07641","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1502.07641","created_at":"2026-05-18T00:36:10Z"},{"alias_kind":"arxiv_version","alias_value":"1502.07641v3","created_at":"2026-05-18T00:36:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1502.07641","created_at":"2026-05-18T00:36:10Z"},{"alias_kind":"pith_short_12","alias_value":"DRUKVYTLG52X","created_at":"2026-05-18T12:29:17Z"},{"alias_kind":"pith_short_16","alias_value":"DRUKVYTLG52XYICC","created_at":"2026-05-18T12:29:17Z"},{"alias_kind":"pith_short_8","alias_value":"DRUKVYTL","created_at":"2026-05-18T12:29:17Z"}],"graph_snapshots":[{"event_id":"sha256:c4e47eaf6a14e151bd59cd44a6b4d6d0453371107b857fd5ac22a6f3a74e96ea","target":"graph","created_at":"2026-05-18T00:36:10Z","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":"Undirected graphical models are used extensively in the biological and social sciences to encode a pattern of conditional independences between variables, where the absence of an edge between two nodes $a$ and $b$ indicates that the corresponding two variables $X_a$ and $X_b$ are believed to be conditionally independent, after controlling for all other measured variables. In the Gaussian case, conditional independence corresponds to a zero entry in the precision matrix $\\Omega$ (the inverse of the covariance matrix $\\Sigma$). Real data often exhibits heavy tail dependence between variables, wh","authors_text":"Mladen Kolar, Rina Foygel Barber","cross_cats":["cs.LG","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2015-02-26T17:25:03Z","title":"ROCKET: Robust Confidence Intervals via Kendall's Tau for Transelliptical Graphical Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1502.07641","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":"sha256:0973f05471a944b60894b075b17b690c2059b86051e8c959618cdbae49485cf2","target":"record","created_at":"2026-05-18T00:36:10Z","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":"8574064b91a7f2322e2275b6f3a725a52a2498447dea4cc74dc489fcd52615ba","cross_cats_sorted":["cs.LG","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2015-02-26T17:25:03Z","title_canon_sha256":"26f3b66dc6739e1b82de96ad9c898ed0339f5141213c73d6b3ed56db06ccfbe8"},"schema_version":"1.0","source":{"id":"1502.07641","kind":"arxiv","version":3}},"canonical_sha256":"1c68aae26b37757c204284af16ab1a14edb50260097e62b31499f34145753c1e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1c68aae26b37757c204284af16ab1a14edb50260097e62b31499f34145753c1e","first_computed_at":"2026-05-18T00:36:10.198769Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:36:10.198769Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"M2UU0N+JnYbr3ZKFt3g20XFRQq16wv1e30h2uqS/WGKe2nS+skI3rtfxzk52lfPzegM4QnOECzLpVO/2NG2xDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:36:10.199335Z","signed_message":"canonical_sha256_bytes"},"source_id":"1502.07641","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0973f05471a944b60894b075b17b690c2059b86051e8c959618cdbae49485cf2","sha256:c4e47eaf6a14e151bd59cd44a6b4d6d0453371107b857fd5ac22a6f3a74e96ea"],"state_sha256":"eac1517b41b85d93a2cecd60bec2a5a3aed3052bfc95ce877eb2f5506e155bb1"}