{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:OEVK7MIEKAUIDN7BIZRU5EWT3G","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":"c2c7dab8abb8b3ecc0cd729ee98a51bf3039dd7f22353688c9427bb3de362d9b","cross_cats_sorted":["stat.CO","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-06-17T22:04:05Z","title_canon_sha256":"7cf7dcc64f13fb6df913b1ed13f979d3ac3e5bd399fa4ff26b0e8de44e3c6e4b"},"schema_version":"1.0","source":{"id":"1306.4032","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1306.4032","created_at":"2026-05-18T01:24:38Z"},{"alias_kind":"arxiv_version","alias_value":"1306.4032v4","created_at":"2026-05-18T01:24:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1306.4032","created_at":"2026-05-18T01:24:38Z"},{"alias_kind":"pith_short_12","alias_value":"OEVK7MIEKAUI","created_at":"2026-05-18T12:27:54Z"},{"alias_kind":"pith_short_16","alias_value":"OEVK7MIEKAUIDN7B","created_at":"2026-05-18T12:27:54Z"},{"alias_kind":"pith_short_8","alias_value":"OEVK7MIE","created_at":"2026-05-18T12:27:54Z"}],"graph_snapshots":[{"event_id":"sha256:a5a5d6d7a8476b2507a78f38cda719dbf0820b4fa8cd68462f762db161cb9a6b","target":"graph","created_at":"2026-05-18T01:24:38Z","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":"A large number of statistical models are \"doubly-intractable\": the likelihood normalising term, which is a function of the model parameters, is intractable, as well as the marginal likelihood (model evidence). This means that standard inference techniques to sample from the posterior, such as Markov chain Monte Carlo (MCMC), cannot be used. Examples include, but are not confined to, massive Gaussian Markov random fields, autologistic models and Exponential random graph models. A number of approximate schemes based on MCMC techniques, Approximate Bayesian computation (ABC) or analytic approxima","authors_text":"Anne-Marie Lyne, Daniel Simpson, Heiko Strathmann, Mark Girolami, Yves Atchad\\'e","cross_cats":["stat.CO","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-06-17T22:04:05Z","title":"On Russian Roulette Estimates for Bayesian Inference with Doubly-Intractable Likelihoods"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1306.4032","kind":"arxiv","version":4},"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":"sha256:2375c919d0179fe8b78002dbcba8a616109c74d9b9bf7e72c6a1be8dc1ab00f7","target":"record","created_at":"2026-05-18T01:24:38Z","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":"c2c7dab8abb8b3ecc0cd729ee98a51bf3039dd7f22353688c9427bb3de362d9b","cross_cats_sorted":["stat.CO","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-06-17T22:04:05Z","title_canon_sha256":"7cf7dcc64f13fb6df913b1ed13f979d3ac3e5bd399fa4ff26b0e8de44e3c6e4b"},"schema_version":"1.0","source":{"id":"1306.4032","kind":"arxiv","version":4}},"canonical_sha256":"712aafb104502881b7e146634e92d3d9a9a754b70b2e14d9ea26cd623d52fc97","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"712aafb104502881b7e146634e92d3d9a9a754b70b2e14d9ea26cd623d52fc97","first_computed_at":"2026-05-18T01:24:38.785385Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:24:38.785385Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tbKMaHRd9ZuZ+DvxxYh7wl1NO6d5ijBO8jHMI2Jj9Jwjdy0IgKw1Wwp/DEtWqajGuxqKBbaD/at9t/w68lzzAg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:24:38.785838Z","signed_message":"canonical_sha256_bytes"},"source_id":"1306.4032","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2375c919d0179fe8b78002dbcba8a616109c74d9b9bf7e72c6a1be8dc1ab00f7","sha256:a5a5d6d7a8476b2507a78f38cda719dbf0820b4fa8cd68462f762db161cb9a6b"],"state_sha256":"f13f176aa673bb56e11d6d02ecfee088684ce42e2b1fdf1e02bd4f46c0d8cf84"}