{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:G3NKUKAPF3CDDH4HOTAARKDVOD","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":"50a9db52e0b7b5a2a521d33be4f1b30355e3d4c17905c0430c507f9d6d1c2d29","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.CO","submitted_at":"2021-01-12T13:31:55Z","title_canon_sha256":"56cffed23471b473eceff53ee781740f975c2a9f4db13849296ea02f20bff844"},"schema_version":"1.0","source":{"id":"2101.04468","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.04468","created_at":"2026-07-05T02:50:43Z"},{"alias_kind":"arxiv_version","alias_value":"2101.04468v3","created_at":"2026-07-05T02:50:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.04468","created_at":"2026-07-05T02:50:43Z"},{"alias_kind":"pith_short_12","alias_value":"G3NKUKAPF3CD","created_at":"2026-07-05T02:50:43Z"},{"alias_kind":"pith_short_16","alias_value":"G3NKUKAPF3CDDH4H","created_at":"2026-07-05T02:50:43Z"},{"alias_kind":"pith_short_8","alias_value":"G3NKUKAP","created_at":"2026-07-05T02:50:43Z"}],"graph_snapshots":[{"event_id":"sha256:3bccdd0c008d246c9a2870a276be672eb64f305a1143806ed3b340110b7ac28a","target":"graph","created_at":"2026-07-05T02:50:43Z","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/2101.04468/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The aghq package for implementing approximate Bayesian inference using adaptive quadrature is introduced. The method and software are described, and use of the package in making approximate Bayesian inferences in several challenging low- and high-dimensional models is illustrated. Examples include an infectious disease model; an astrostatistical model for estimating the mass of the Milky Way; two examples in non-Gaussian model-based geostatistics including one incorporating zero-inflation which is not easily fit using other methods; and a model for zero-inflated, overdispersed count data. The ","authors_text":"Alex Stringer","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.CO","submitted_at":"2021-01-12T13:31:55Z","title":"Implementing Approximate Bayesian Inference using Adaptive Quadrature: the aghq Package"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.04468","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:f2864fa3c77fdd07e83433bea1d272c44c9a21d1f0e1f096a1797c8f657ba1a4","target":"record","created_at":"2026-07-05T02:50:43Z","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":"50a9db52e0b7b5a2a521d33be4f1b30355e3d4c17905c0430c507f9d6d1c2d29","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.CO","submitted_at":"2021-01-12T13:31:55Z","title_canon_sha256":"56cffed23471b473eceff53ee781740f975c2a9f4db13849296ea02f20bff844"},"schema_version":"1.0","source":{"id":"2101.04468","kind":"arxiv","version":3}},"canonical_sha256":"36daaa280f2ec4319f8774c008a87570f2b03360907aefcfd7285470a115e572","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"36daaa280f2ec4319f8774c008a87570f2b03360907aefcfd7285470a115e572","first_computed_at":"2026-07-05T02:50:43.010528Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:50:43.010528Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rZaPZSjymkdTogwF91jcpwzzjvRzqpyABCvp93ltnRv7cp4jS2IMKrDRJMbv3bGWfIestpIscdwh2yyTg4F2CA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:50:43.010992Z","signed_message":"canonical_sha256_bytes"},"source_id":"2101.04468","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f2864fa3c77fdd07e83433bea1d272c44c9a21d1f0e1f096a1797c8f657ba1a4","sha256:3bccdd0c008d246c9a2870a276be672eb64f305a1143806ed3b340110b7ac28a"],"state_sha256":"50c9a632744837a035745ddd0177726782dce9a20d2c4b8ee4bc3f310a9252cb"}