{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:I5DEK6R4HOKWW5BV53OPCGZMZG","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":"a054dbf6b7e134e4dced39a0209adb11d9be4a68ce7e913e491b79b5aef58a65","cross_cats_sorted":["stat.CO","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-05-31T15:23:42Z","title_canon_sha256":"865e2f8ae835a74154fe99ab2357658ed68b394146db4370e8b275959fdcda70"},"schema_version":"1.0","source":{"id":"1705.11140","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.11140","created_at":"2026-05-18T00:22:52Z"},{"alias_kind":"arxiv_version","alias_value":"1705.11140v2","created_at":"2026-05-18T00:22:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.11140","created_at":"2026-05-18T00:22:52Z"},{"alias_kind":"pith_short_12","alias_value":"I5DEK6R4HOKW","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"I5DEK6R4HOKWW5BV","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"I5DEK6R4","created_at":"2026-05-18T12:31:21Z"}],"graph_snapshots":[{"event_id":"sha256:421c7a41a55ee47c95834520d335f9a34091ab40be07c823ecff2e55889464f6","target":"graph","created_at":"2026-05-18T00:22:52Z","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":"Many recent advances in large scale probabilistic inference rely on variational methods. The success of variational approaches depends on (i) formulating a flexible parametric family of distributions, and (ii) optimizing the parameters to find the member of this family that most closely approximates the exact posterior. In this paper we present a new approximating family of distributions, the variational sequential Monte Carlo (VSMC) family, and show how to optimize it in variational inference. VSMC melds variational inference (VI) and sequential Monte Carlo (SMC), providing practitioners with","authors_text":"Christian A. Naesseth, David M. Blei, Rajesh Ranganath, Scott W. Linderman","cross_cats":["stat.CO","stat.ME"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-05-31T15:23:42Z","title":"Variational Sequential Monte Carlo"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.11140","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":"sha256:33e6192451818f6bc8bea2321bc7622fc08c52f38396c8b1a7dd93097a4aa190","target":"record","created_at":"2026-05-18T00:22:52Z","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":"a054dbf6b7e134e4dced39a0209adb11d9be4a68ce7e913e491b79b5aef58a65","cross_cats_sorted":["stat.CO","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-05-31T15:23:42Z","title_canon_sha256":"865e2f8ae835a74154fe99ab2357658ed68b394146db4370e8b275959fdcda70"},"schema_version":"1.0","source":{"id":"1705.11140","kind":"arxiv","version":2}},"canonical_sha256":"4746457a3c3b956b7435eedcf11b2cc9b9fa280ce68e058c776fd8af4dbaa041","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4746457a3c3b956b7435eedcf11b2cc9b9fa280ce68e058c776fd8af4dbaa041","first_computed_at":"2026-05-18T00:22:52.800511Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:22:52.800511Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Uj6WrzfgtrMWvkFwtYf282KAv6dIf7Rpb++JXMRe3kz0MpZJJJc8c9pgmywdZj9t7sPl/l1MjsbgwsCJf10lAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:22:52.800942Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.11140","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:33e6192451818f6bc8bea2321bc7622fc08c52f38396c8b1a7dd93097a4aa190","sha256:421c7a41a55ee47c95834520d335f9a34091ab40be07c823ecff2e55889464f6"],"state_sha256":"44da22bcce3f6a2d911214dbea4fe9dae1b6a4413e3c11d59aa9badf412907ce"}