{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:SPFOJMKBQDY7W63X56NIWC4Z6I","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":"b812d57e0361274163ac5ddb1c90de00ce5cbf9168d5dd41e9e2087b9565b112","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-09-02T12:43:34Z","title_canon_sha256":"3fb743988395f3a931209b58ff0d0784619c8ca8e3db1ab9986221e74b7f41ed"},"schema_version":"1.0","source":{"id":"1609.00577","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1609.00577","created_at":"2026-05-18T00:01:39Z"},{"alias_kind":"arxiv_version","alias_value":"1609.00577v2","created_at":"2026-05-18T00:01:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1609.00577","created_at":"2026-05-18T00:01:39Z"},{"alias_kind":"pith_short_12","alias_value":"SPFOJMKBQDY7","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_16","alias_value":"SPFOJMKBQDY7W63X","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_8","alias_value":"SPFOJMKB","created_at":"2026-05-18T12:30:44Z"}],"graph_snapshots":[{"event_id":"sha256:43d33bb12ecb522d356e83bd2dfc8f2381f690d42b1cc535ac40ccba57e721ec","target":"graph","created_at":"2026-05-18T00:01:39Z","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":"We develop an automated variational method for inference in models with Gaussian process (GP) priors and general likelihoods. The method supports multiple outputs and multiple latent functions and does not require detailed knowledge of the conditional likelihood, only needing its evaluation as a black-box function. Using a mixture of Gaussians as the variational distribution, we show that the evidence lower bound and its gradients can be estimated efficiently using samples from univariate Gaussian distributions. Furthermore, the method is scalable to large datasets which is achieved by using a","authors_text":"Amir Dezfouli, Edwin V. Bonilla, Karl Krauth","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-09-02T12:43:34Z","title":"Generic Inference in Latent Gaussian Process Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1609.00577","kind":"arxiv","version":2},"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":"sha256:1bad035fc3eefdd605ec7ac5b4f515a817c0c10181b08138de758e874012f1ca","target":"record","created_at":"2026-05-18T00:01:39Z","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":"b812d57e0361274163ac5ddb1c90de00ce5cbf9168d5dd41e9e2087b9565b112","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-09-02T12:43:34Z","title_canon_sha256":"3fb743988395f3a931209b58ff0d0784619c8ca8e3db1ab9986221e74b7f41ed"},"schema_version":"1.0","source":{"id":"1609.00577","kind":"arxiv","version":2}},"canonical_sha256":"93cae4b14180f1fb7b77ef9a8b0b99f216db3a7b59bc8a9ddf4c445b0379da54","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"93cae4b14180f1fb7b77ef9a8b0b99f216db3a7b59bc8a9ddf4c445b0379da54","first_computed_at":"2026-05-18T00:01:39.311444Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:01:39.311444Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4sBKJJBrCqMKYifvp+m0CBhb7fBPb7EgeO0rzfWNRyloPKhrUirbU6rrbFv9nzTg+j77SvU11z5U3oTj7n4nDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:01:39.311858Z","signed_message":"canonical_sha256_bytes"},"source_id":"1609.00577","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1bad035fc3eefdd605ec7ac5b4f515a817c0c10181b08138de758e874012f1ca","sha256:43d33bb12ecb522d356e83bd2dfc8f2381f690d42b1cc535ac40ccba57e721ec"],"state_sha256":"fabf2745fa8366a59a65c95770bcb1b7949557ce13a4790a14dfda7b591b902e"}