{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:FRVO6TUS3L54DVIUHPR5FXEEEO","short_pith_number":"pith:FRVO6TUS","canonical_record":{"source":{"id":"2108.11997","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2021-08-26T18:59:14Z","cross_cats_sorted":["math.ST","stat.TH"],"title_canon_sha256":"ab8548fa9199604bc1c42c1f96331fbb44e6aef26c97d5dca5772f2dc187800c","abstract_canon_sha256":"68987750ba1d364749ff247a301767ed2f77f0f784ee01068f900cce91d75661"},"schema_version":"1.0"},"canonical_sha256":"2c6aef4e92dafbc1d5143be3d2dc8423aaf0967122408149711cc1d52b6f9856","source":{"kind":"arxiv","id":"2108.11997","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.11997","created_at":"2026-07-05T03:09:20Z"},{"alias_kind":"arxiv_version","alias_value":"2108.11997v1","created_at":"2026-07-05T03:09:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.11997","created_at":"2026-07-05T03:09:20Z"},{"alias_kind":"pith_short_12","alias_value":"FRVO6TUS3L54","created_at":"2026-07-05T03:09:20Z"},{"alias_kind":"pith_short_16","alias_value":"FRVO6TUS3L54DVIU","created_at":"2026-07-05T03:09:20Z"},{"alias_kind":"pith_short_8","alias_value":"FRVO6TUS","created_at":"2026-07-05T03:09:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:FRVO6TUS3L54DVIUHPR5FXEEEO","target":"record","payload":{"canonical_record":{"source":{"id":"2108.11997","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2021-08-26T18:59:14Z","cross_cats_sorted":["math.ST","stat.TH"],"title_canon_sha256":"ab8548fa9199604bc1c42c1f96331fbb44e6aef26c97d5dca5772f2dc187800c","abstract_canon_sha256":"68987750ba1d364749ff247a301767ed2f77f0f784ee01068f900cce91d75661"},"schema_version":"1.0"},"canonical_sha256":"2c6aef4e92dafbc1d5143be3d2dc8423aaf0967122408149711cc1d52b6f9856","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:09:20.650555Z","signature_b64":"MfoFA0pyJaq05ktKKRWYcGxU6YM23eIwGTAtPQX7BGyf3cpIcOjSyg/7G5XG0rWn+ocMyHTJmuexn6MKQvejAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2c6aef4e92dafbc1d5143be3d2dc8423aaf0967122408149711cc1d52b6f9856","last_reissued_at":"2026-07-05T03:09:20.649964Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:09:20.649964Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2108.11997","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":"2026-07-05T03:09:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BTbid/7fu0A+pkWoKN3e/TRv+C0mleAW5GjT1+NNR79lkJUN1+CjC8D0NFViEw8QJ6E569vP+aPc9GlnxKmBBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T05:09:59.439144Z"},"content_sha256":"5fca51bee2fb90d742f0e5e9181350f16948106fe4cfb7d480dbac926c42200b","schema_version":"1.0","event_id":"sha256:5fca51bee2fb90d742f0e5e9181350f16948106fe4cfb7d480dbac926c42200b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:FRVO6TUS3L54DVIUHPR5FXEEEO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Contaminated Gibbs-type priors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.ST","stat.TH"],"primary_cat":"stat.ME","authors_text":"Andrea Ongaro, Federico Camerlenghi, Riccardo Corradin","submitted_at":"2021-08-26T18:59:14Z","abstract_excerpt":"Gibbs-type priors are widely used as key components in several Bayesian nonparametric models. By virtue of their flexibility and mathematical tractability, they turn out to be predominant priors in species sampling problems, clustering and mixture modelling. We introduce a new family of processes which extend the Gibbs-type one, by including a contaminant component in the model to account for the presence of anomalies (outliers) or an excess of observations with frequency one. We first investigate the induced random partition, the associated predictive distribution and we characterize the asym"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.11997","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2108.11997/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T03:09:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hLm6V4Gj46jE+vGwv49zBXsk9K+quinwFaUXrY1t3AjRU+viazeYOkiW4MI0ysopCBl3ZMXcbYgDi9uOK/WjAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T05:09:59.439519Z"},"content_sha256":"a890f0287e5ccb9b806d7016d0d45a71646aa68e0e43a1864e23155ab6ecd2e4","schema_version":"1.0","event_id":"sha256:a890f0287e5ccb9b806d7016d0d45a71646aa68e0e43a1864e23155ab6ecd2e4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FRVO6TUS3L54DVIUHPR5FXEEEO/bundle.json","state_url":"https://pith.science/pith/FRVO6TUS3L54DVIUHPR5FXEEEO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FRVO6TUS3L54DVIUHPR5FXEEEO/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":"2026-08-18T05:09:59Z","links":{"resolver":"https://pith.science/pith/FRVO6TUS3L54DVIUHPR5FXEEEO","bundle":"https://pith.science/pith/FRVO6TUS3L54DVIUHPR5FXEEEO/bundle.json","state":"https://pith.science/pith/FRVO6TUS3L54DVIUHPR5FXEEEO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FRVO6TUS3L54DVIUHPR5FXEEEO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:FRVO6TUS3L54DVIUHPR5FXEEEO","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":"68987750ba1d364749ff247a301767ed2f77f0f784ee01068f900cce91d75661","cross_cats_sorted":["math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2021-08-26T18:59:14Z","title_canon_sha256":"ab8548fa9199604bc1c42c1f96331fbb44e6aef26c97d5dca5772f2dc187800c"},"schema_version":"1.0","source":{"id":"2108.11997","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.11997","created_at":"2026-07-05T03:09:20Z"},{"alias_kind":"arxiv_version","alias_value":"2108.11997v1","created_at":"2026-07-05T03:09:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.11997","created_at":"2026-07-05T03:09:20Z"},{"alias_kind":"pith_short_12","alias_value":"FRVO6TUS3L54","created_at":"2026-07-05T03:09:20Z"},{"alias_kind":"pith_short_16","alias_value":"FRVO6TUS3L54DVIU","created_at":"2026-07-05T03:09:20Z"},{"alias_kind":"pith_short_8","alias_value":"FRVO6TUS","created_at":"2026-07-05T03:09:20Z"}],"graph_snapshots":[{"event_id":"sha256:a890f0287e5ccb9b806d7016d0d45a71646aa68e0e43a1864e23155ab6ecd2e4","target":"graph","created_at":"2026-07-05T03:09:20Z","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/2108.11997/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Gibbs-type priors are widely used as key components in several Bayesian nonparametric models. By virtue of their flexibility and mathematical tractability, they turn out to be predominant priors in species sampling problems, clustering and mixture modelling. We introduce a new family of processes which extend the Gibbs-type one, by including a contaminant component in the model to account for the presence of anomalies (outliers) or an excess of observations with frequency one. We first investigate the induced random partition, the associated predictive distribution and we characterize the asym","authors_text":"Andrea Ongaro, Federico Camerlenghi, Riccardo Corradin","cross_cats":["math.ST","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2021-08-26T18:59:14Z","title":"Contaminated Gibbs-type priors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.11997","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":"sha256:5fca51bee2fb90d742f0e5e9181350f16948106fe4cfb7d480dbac926c42200b","target":"record","created_at":"2026-07-05T03:09:20Z","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":"68987750ba1d364749ff247a301767ed2f77f0f784ee01068f900cce91d75661","cross_cats_sorted":["math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2021-08-26T18:59:14Z","title_canon_sha256":"ab8548fa9199604bc1c42c1f96331fbb44e6aef26c97d5dca5772f2dc187800c"},"schema_version":"1.0","source":{"id":"2108.11997","kind":"arxiv","version":1}},"canonical_sha256":"2c6aef4e92dafbc1d5143be3d2dc8423aaf0967122408149711cc1d52b6f9856","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2c6aef4e92dafbc1d5143be3d2dc8423aaf0967122408149711cc1d52b6f9856","first_computed_at":"2026-07-05T03:09:20.649964Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:09:20.649964Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MfoFA0pyJaq05ktKKRWYcGxU6YM23eIwGTAtPQX7BGyf3cpIcOjSyg/7G5XG0rWn+ocMyHTJmuexn6MKQvejAA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:09:20.650555Z","signed_message":"canonical_sha256_bytes"},"source_id":"2108.11997","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5fca51bee2fb90d742f0e5e9181350f16948106fe4cfb7d480dbac926c42200b","sha256:a890f0287e5ccb9b806d7016d0d45a71646aa68e0e43a1864e23155ab6ecd2e4"],"state_sha256":"e90d4d7cde0fae6f473085c2eef664938dd1e035fd70634de40a2c9c5a3aeebe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hi4XmF4diItPO22L7REUMSrkc1tf1/+/JlK6Caxfg19krXBFy7rYerPJNREzNJBqltgV1YCEfFtUIeBNO/fFCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T05:09:59.443355Z","bundle_sha256":"cefe92dda5f59bfab1aebfb45eaca157568ce6d85664d7a6350423d3d4c2e448"}}