{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:OFWNFSBK6EUSDTXSXYJF7WXOHL","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":"713c3b4f3b41d194e98e9c5da30754cec362c42960d8168ae948044075708b53","cross_cats_sorted":["cs.LG","stat.CO","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-10-23T15:02:47Z","title_canon_sha256":"1d83cf2297aef5871f415d3ae0a0e9d66e9eca88133ffe6984d17c43ef461e9b"},"schema_version":"1.0","source":{"id":"1810.09899","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.09899","created_at":"2026-05-18T00:02:29Z"},{"alias_kind":"arxiv_version","alias_value":"1810.09899v1","created_at":"2026-05-18T00:02:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.09899","created_at":"2026-05-18T00:02:29Z"},{"alias_kind":"pith_short_12","alias_value":"OFWNFSBK6EUS","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"OFWNFSBK6EUSDTXS","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"OFWNFSBK","created_at":"2026-05-18T12:32:43Z"}],"graph_snapshots":[{"event_id":"sha256:d66a5f9cb5101c83a170eda555feceed2d97e5dd24a12b0c64f2b6e6c5887805","target":"graph","created_at":"2026-05-18T00:02:29Z","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":"Parametric statistical models that are implicitly defined in terms of a stochastic data generating process are used in a wide range of scientific disciplines because they enable accurate modeling. However, learning the parameters from observed data is generally very difficult because their likelihood function is typically intractable. Likelihood-free Bayesian inference methods have been proposed which include the frameworks of approximate Bayesian computation (ABC), synthetic likelihood, and its recent generalization that performs likelihood-free inference by ratio estimation (LFIRE). A major ","authors_text":"Michael U. Gutmann, Traiko Dinev","cross_cats":["cs.LG","stat.CO","stat.ME"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-10-23T15:02:47Z","title":"Dynamic Likelihood-free Inference via Ratio Estimation (DIRE)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.09899","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":"sha256:03104e5f2a06044e9f2b4538b517340d586fff6895a41acc965821f1732c7d06","target":"record","created_at":"2026-05-18T00:02:29Z","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":"713c3b4f3b41d194e98e9c5da30754cec362c42960d8168ae948044075708b53","cross_cats_sorted":["cs.LG","stat.CO","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-10-23T15:02:47Z","title_canon_sha256":"1d83cf2297aef5871f415d3ae0a0e9d66e9eca88133ffe6984d17c43ef461e9b"},"schema_version":"1.0","source":{"id":"1810.09899","kind":"arxiv","version":1}},"canonical_sha256":"716cd2c82af12921cef2be125fdaee3ac5e6e7dde8b43db520e8693290742429","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"716cd2c82af12921cef2be125fdaee3ac5e6e7dde8b43db520e8693290742429","first_computed_at":"2026-05-18T00:02:29.023137Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:02:29.023137Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Uff7RIa/zG2SRc1gWAhIzlE4QzWkGUWKG7dAMH9WPJ+h5pfI6mZIKybts7tYv3yPLN9+NH9Z7qNmS9KM5iqqDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:02:29.023808Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.09899","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:03104e5f2a06044e9f2b4538b517340d586fff6895a41acc965821f1732c7d06","sha256:d66a5f9cb5101c83a170eda555feceed2d97e5dd24a12b0c64f2b6e6c5887805"],"state_sha256":"d7f62f6651529fe0082d5e80932576f11f78bca233f9d83101f728a7492aaddd"}