{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:BMTKS6XTWZWXHFHBAKQX7DAK77","short_pith_number":"pith:BMTKS6XT","schema_version":"1.0","canonical_sha256":"0b26a97af3b66d7394e102a17f8c0affc1304c0c22f4123099c384ceb0b5a558","source":{"kind":"arxiv","id":"2607.25737","version":1},"attestation_state":"computed","paper":{"title":"Nonparametric Bayesian inference for the Gini-Simpson index","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Andrea Ongaro, Pier Giovanni Bissiri, Riccardo Corradin","submitted_at":"2026-07-28T14:00:47Z","abstract_excerpt":"Many statistical problems concern the analysis of species distributions or, more generally, of discrete labeled quantities. Assessing species diversity constitutes a key step toward understanding population structure, and the Gini-Simpson index is among the most widely adopted diversity measures. In this manuscript, we examine several well-established nonparametric prior models for species frequencies and compare them with a newly proposed distribution within this framework. Specifically, we demonstrate that the conventional symmetric Dirichlet distribution leads to certain undesirable propert"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.25737","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2026-07-28T14:00:47Z","cross_cats_sorted":[],"title_canon_sha256":"8cfafd05e6aab06a1f207fdcbc86cf62fb8fc42ef759c4ae8edba434a10788fe","abstract_canon_sha256":"7b19531fdadceb2218abed4b6e4abaae2bc1caa624de180777f0ef2972db7231"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-29T01:25:59.880528Z","signature_b64":"Zd6uDujrPEj6oDHRD8TPRrKRxPOw0p+DhZxodPJceILvRXD8CBrvAXrPmaFqIOQA5/eCVFbwe0kJX+3XF3sEDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0b26a97af3b66d7394e102a17f8c0affc1304c0c22f4123099c384ceb0b5a558","last_reissued_at":"2026-07-29T01:25:59.879684Z","signature_status":"signed_v1","first_computed_at":"2026-07-29T01:25:59.879684Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Nonparametric Bayesian inference for the Gini-Simpson index","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Andrea Ongaro, Pier Giovanni Bissiri, Riccardo Corradin","submitted_at":"2026-07-28T14:00:47Z","abstract_excerpt":"Many statistical problems concern the analysis of species distributions or, more generally, of discrete labeled quantities. Assessing species diversity constitutes a key step toward understanding population structure, and the Gini-Simpson index is among the most widely adopted diversity measures. In this manuscript, we examine several well-established nonparametric prior models for species frequencies and compare them with a newly proposed distribution within this framework. Specifically, we demonstrate that the conventional symmetric Dirichlet distribution leads to certain undesirable propert"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.25737","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/2607.25737/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.25737","created_at":"2026-07-29T01:25:59.880113+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.25737v1","created_at":"2026-07-29T01:25:59.880113+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.25737","created_at":"2026-07-29T01:25:59.880113+00:00"},{"alias_kind":"pith_short_12","alias_value":"BMTKS6XTWZWX","created_at":"2026-07-29T01:25:59.880113+00:00"},{"alias_kind":"pith_short_16","alias_value":"BMTKS6XTWZWXHFHB","created_at":"2026-07-29T01:25:59.880113+00:00"},{"alias_kind":"pith_short_8","alias_value":"BMTKS6XT","created_at":"2026-07-29T01:25:59.880113+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/BMTKS6XTWZWXHFHBAKQX7DAK77","json":"https://pith.science/pith/BMTKS6XTWZWXHFHBAKQX7DAK77.json","graph_json":"https://pith.science/api/pith-number/BMTKS6XTWZWXHFHBAKQX7DAK77/graph.json","events_json":"https://pith.science/api/pith-number/BMTKS6XTWZWXHFHBAKQX7DAK77/events.json","paper":"https://pith.science/paper/BMTKS6XT"},"agent_actions":{"view_html":"https://pith.science/pith/BMTKS6XTWZWXHFHBAKQX7DAK77","download_json":"https://pith.science/pith/BMTKS6XTWZWXHFHBAKQX7DAK77.json","view_paper":"https://pith.science/paper/BMTKS6XT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.25737&json=true","fetch_graph":"https://pith.science/api/pith-number/BMTKS6XTWZWXHFHBAKQX7DAK77/graph.json","fetch_events":"https://pith.science/api/pith-number/BMTKS6XTWZWXHFHBAKQX7DAK77/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BMTKS6XTWZWXHFHBAKQX7DAK77/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BMTKS6XTWZWXHFHBAKQX7DAK77/action/storage_attestation","attest_author":"https://pith.science/pith/BMTKS6XTWZWXHFHBAKQX7DAK77/action/author_attestation","sign_citation":"https://pith.science/pith/BMTKS6XTWZWXHFHBAKQX7DAK77/action/citation_signature","submit_replication":"https://pith.science/pith/BMTKS6XTWZWXHFHBAKQX7DAK77/action/replication_record"}},"created_at":"2026-07-29T01:25:59.880113+00:00","updated_at":"2026-07-29T01:25:59.880113+00:00"}