{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:SE4YJ7G6GFINZSKM5G2PS2ZUXS","short_pith_number":"pith:SE4YJ7G6","canonical_record":{"source":{"id":"1606.03766","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2016-06-12T21:43:14Z","cross_cats_sorted":[],"title_canon_sha256":"2ec5c2f3a4abef711fd653ce459fb04bf645da4df3515e19c98e70ef58b94a65","abstract_canon_sha256":"275a8db49bbd13eb36c728225864a92f8215ea36af8c0a6f9996867b1760bd4b"},"schema_version":"1.0"},"canonical_sha256":"913984fcde3150dcc94ce9b4f96b34bc968a0ac77d62832f521c5f4e694f93d0","source":{"kind":"arxiv","id":"1606.03766","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.03766","created_at":"2026-05-18T01:12:33Z"},{"alias_kind":"arxiv_version","alias_value":"1606.03766v1","created_at":"2026-05-18T01:12:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.03766","created_at":"2026-05-18T01:12:33Z"},{"alias_kind":"pith_short_12","alias_value":"SE4YJ7G6GFIN","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_16","alias_value":"SE4YJ7G6GFINZSKM","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_8","alias_value":"SE4YJ7G6","created_at":"2026-05-18T12:30:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:SE4YJ7G6GFINZSKM5G2PS2ZUXS","target":"record","payload":{"canonical_record":{"source":{"id":"1606.03766","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2016-06-12T21:43:14Z","cross_cats_sorted":[],"title_canon_sha256":"2ec5c2f3a4abef711fd653ce459fb04bf645da4df3515e19c98e70ef58b94a65","abstract_canon_sha256":"275a8db49bbd13eb36c728225864a92f8215ea36af8c0a6f9996867b1760bd4b"},"schema_version":"1.0"},"canonical_sha256":"913984fcde3150dcc94ce9b4f96b34bc968a0ac77d62832f521c5f4e694f93d0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:12:33.087974Z","signature_b64":"T9CcoxFpR+uakj4+uJKky0eJP3yAgJgeprCPd97tMmioXybkCVnU8lhvWYlPGdlc8APsjXKAarGyldCdF6L0Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"913984fcde3150dcc94ce9b4f96b34bc968a0ac77d62832f521c5f4e694f93d0","last_reissued_at":"2026-05-18T01:12:33.087396Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:12:33.087396Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1606.03766","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:12:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m2C911oy7RGlsejQmH+DI5O6+8R48rdkSErXWRjumv3R2UbgL14/tOoyBoLmNiZwZh1XaY0Q4kJPbYwaVnpHCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T12:15:29.396012Z"},"content_sha256":"d7babb304677b19b7cfc8583ffcc2b8c057f0f8a28d28cd49c88b8cf8d4f18c6","schema_version":"1.0","event_id":"sha256:d7babb304677b19b7cfc8583ffcc2b8c057f0f8a28d28cd49c88b8cf8d4f18c6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:SE4YJ7G6GFINZSKM5G2PS2ZUXS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ContaminatedMixt: An R Package for Fitting Parsimonious Mixtures of Multivariate Contaminated Normal Distributions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.CO","authors_text":"Angelo Mazza, Antonio Punzo, Paul D. McNicholas","submitted_at":"2016-06-12T21:43:14Z","abstract_excerpt":"We introduce the R package ContaminatedMixt, conceived to disseminate the use of mixtures of multivariate contaminated normal distributions as a tool for robust clustering and classification under the common assumption of elliptically contoured groups. Thirteen variants of the model are also implemented to introduce parsimony. The expectation-conditional maximization algorithm is adopted to obtain maximum likelihood parameter estimates, and likelihood-based model selection criteria are used to select the model and the number of groups. Parallel computation can be used on multicore PCs and comp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.03766","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:12:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ae0tmbjozCZTebZVbB4MIAhgqkffvMZPdYc4ijbhw6VfLiRppoFVDXVroUI7ZWAdgjk2JVSMFpeymWN0Ro4JAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T12:15:29.396374Z"},"content_sha256":"6e628a1898875ab97261cc512169c2465867d0eb915222019a25c2ea580c5e32","schema_version":"1.0","event_id":"sha256:6e628a1898875ab97261cc512169c2465867d0eb915222019a25c2ea580c5e32"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SE4YJ7G6GFINZSKM5G2PS2ZUXS/bundle.json","state_url":"https://pith.science/pith/SE4YJ7G6GFINZSKM5G2PS2ZUXS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SE4YJ7G6GFINZSKM5G2PS2ZUXS/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-11T12:15:29Z","links":{"resolver":"https://pith.science/pith/SE4YJ7G6GFINZSKM5G2PS2ZUXS","bundle":"https://pith.science/pith/SE4YJ7G6GFINZSKM5G2PS2ZUXS/bundle.json","state":"https://pith.science/pith/SE4YJ7G6GFINZSKM5G2PS2ZUXS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SE4YJ7G6GFINZSKM5G2PS2ZUXS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:SE4YJ7G6GFINZSKM5G2PS2ZUXS","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":"275a8db49bbd13eb36c728225864a92f8215ea36af8c0a6f9996867b1760bd4b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2016-06-12T21:43:14Z","title_canon_sha256":"2ec5c2f3a4abef711fd653ce459fb04bf645da4df3515e19c98e70ef58b94a65"},"schema_version":"1.0","source":{"id":"1606.03766","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.03766","created_at":"2026-05-18T01:12:33Z"},{"alias_kind":"arxiv_version","alias_value":"1606.03766v1","created_at":"2026-05-18T01:12:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.03766","created_at":"2026-05-18T01:12:33Z"},{"alias_kind":"pith_short_12","alias_value":"SE4YJ7G6GFIN","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_16","alias_value":"SE4YJ7G6GFINZSKM","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_8","alias_value":"SE4YJ7G6","created_at":"2026-05-18T12:30:44Z"}],"graph_snapshots":[{"event_id":"sha256:6e628a1898875ab97261cc512169c2465867d0eb915222019a25c2ea580c5e32","target":"graph","created_at":"2026-05-18T01:12:33Z","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":"We introduce the R package ContaminatedMixt, conceived to disseminate the use of mixtures of multivariate contaminated normal distributions as a tool for robust clustering and classification under the common assumption of elliptically contoured groups. Thirteen variants of the model are also implemented to introduce parsimony. The expectation-conditional maximization algorithm is adopted to obtain maximum likelihood parameter estimates, and likelihood-based model selection criteria are used to select the model and the number of groups. Parallel computation can be used on multicore PCs and comp","authors_text":"Angelo Mazza, Antonio Punzo, Paul D. McNicholas","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2016-06-12T21:43:14Z","title":"ContaminatedMixt: An R Package for Fitting Parsimonious Mixtures of Multivariate Contaminated Normal Distributions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.03766","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:d7babb304677b19b7cfc8583ffcc2b8c057f0f8a28d28cd49c88b8cf8d4f18c6","target":"record","created_at":"2026-05-18T01:12:33Z","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":"275a8db49bbd13eb36c728225864a92f8215ea36af8c0a6f9996867b1760bd4b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2016-06-12T21:43:14Z","title_canon_sha256":"2ec5c2f3a4abef711fd653ce459fb04bf645da4df3515e19c98e70ef58b94a65"},"schema_version":"1.0","source":{"id":"1606.03766","kind":"arxiv","version":1}},"canonical_sha256":"913984fcde3150dcc94ce9b4f96b34bc968a0ac77d62832f521c5f4e694f93d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"913984fcde3150dcc94ce9b4f96b34bc968a0ac77d62832f521c5f4e694f93d0","first_computed_at":"2026-05-18T01:12:33.087396Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:12:33.087396Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"T9CcoxFpR+uakj4+uJKky0eJP3yAgJgeprCPd97tMmioXybkCVnU8lhvWYlPGdlc8APsjXKAarGyldCdF6L0Cw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:12:33.087974Z","signed_message":"canonical_sha256_bytes"},"source_id":"1606.03766","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d7babb304677b19b7cfc8583ffcc2b8c057f0f8a28d28cd49c88b8cf8d4f18c6","sha256:6e628a1898875ab97261cc512169c2465867d0eb915222019a25c2ea580c5e32"],"state_sha256":"bd231fffd39991014b0b8967be9ba193e9e5a9c40f2bb226f35ac2cad3f76b01"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7X66/hLFjhb1s7tfj1rtUZuXy3qqIzJBEBRT1lm7UVwsOtgvrA0gzriLZbPIiux0vJ7m/cdn29q+lt0b4ApRAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T12:15:29.398320Z","bundle_sha256":"8eae9c197ea34fbbe545b058108bffede17fba400d915f562149560a46d75faa"}}