{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:F4IUNALL2F53PPGA5Y5EQMF2XC","short_pith_number":"pith:F4IUNALL","schema_version":"1.0","canonical_sha256":"2f1146816bd17bb7bcc0ee3a4830bab8928b6907d9c19ebf976825811c5f875b","source":{"kind":"arxiv","id":"1209.6433","version":2},"attestation_state":"computed","paper":{"title":"Nonparametric Bayesian methods for one-dimensional diffusion models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Harry van Zanten","submitted_at":"2012-09-28T07:02:11Z","abstract_excerpt":"In this paper we review recently developed methods for nonparametric Bayesian inference for one-dimensional diffusion models. We discuss different possible prior distributions, computational issues, and asymptotic results."},"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":"1209.6433","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2012-09-28T07:02:11Z","cross_cats_sorted":[],"title_canon_sha256":"264bbe5f5fb6e35d0dbd174349d4af8d4697e05c4cf345febced630db6405a26","abstract_canon_sha256":"2a035791db68fc06e3f6b92c4bf20b1e342cdcbf044821ecae368c3be0b014d5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:25:14.527205Z","signature_b64":"HeSWPXHARhPS/4FffN+wi8yVBG9lZ6ree9anKvAM7JmG+Uf7r+WlmKgPjyWyIR0/Og9zGBZt/cat50i9i/xJCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2f1146816bd17bb7bcc0ee3a4830bab8928b6907d9c19ebf976825811c5f875b","last_reissued_at":"2026-05-18T03:25:14.526383Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:25:14.526383Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Nonparametric Bayesian methods for one-dimensional diffusion models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Harry van Zanten","submitted_at":"2012-09-28T07:02:11Z","abstract_excerpt":"In this paper we review recently developed methods for nonparametric Bayesian inference for one-dimensional diffusion models. We discuss different possible prior distributions, computational issues, and asymptotic results."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1209.6433","kind":"arxiv","version":2},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1209.6433","created_at":"2026-05-18T03:25:14.526528+00:00"},{"alias_kind":"arxiv_version","alias_value":"1209.6433v2","created_at":"2026-05-18T03:25:14.526528+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1209.6433","created_at":"2026-05-18T03:25:14.526528+00:00"},{"alias_kind":"pith_short_12","alias_value":"F4IUNALL2F53","created_at":"2026-05-18T12:27:04.183437+00:00"},{"alias_kind":"pith_short_16","alias_value":"F4IUNALL2F53PPGA","created_at":"2026-05-18T12:27:04.183437+00:00"},{"alias_kind":"pith_short_8","alias_value":"F4IUNALL","created_at":"2026-05-18T12:27:04.183437+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/F4IUNALL2F53PPGA5Y5EQMF2XC","json":"https://pith.science/pith/F4IUNALL2F53PPGA5Y5EQMF2XC.json","graph_json":"https://pith.science/api/pith-number/F4IUNALL2F53PPGA5Y5EQMF2XC/graph.json","events_json":"https://pith.science/api/pith-number/F4IUNALL2F53PPGA5Y5EQMF2XC/events.json","paper":"https://pith.science/paper/F4IUNALL"},"agent_actions":{"view_html":"https://pith.science/pith/F4IUNALL2F53PPGA5Y5EQMF2XC","download_json":"https://pith.science/pith/F4IUNALL2F53PPGA5Y5EQMF2XC.json","view_paper":"https://pith.science/paper/F4IUNALL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1209.6433&json=true","fetch_graph":"https://pith.science/api/pith-number/F4IUNALL2F53PPGA5Y5EQMF2XC/graph.json","fetch_events":"https://pith.science/api/pith-number/F4IUNALL2F53PPGA5Y5EQMF2XC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/F4IUNALL2F53PPGA5Y5EQMF2XC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/F4IUNALL2F53PPGA5Y5EQMF2XC/action/storage_attestation","attest_author":"https://pith.science/pith/F4IUNALL2F53PPGA5Y5EQMF2XC/action/author_attestation","sign_citation":"https://pith.science/pith/F4IUNALL2F53PPGA5Y5EQMF2XC/action/citation_signature","submit_replication":"https://pith.science/pith/F4IUNALL2F53PPGA5Y5EQMF2XC/action/replication_record"}},"created_at":"2026-05-18T03:25:14.526528+00:00","updated_at":"2026-05-18T03:25:14.526528+00:00"}