{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:APXTAWCHVBQ7W4U3VHJ2WKECXM","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":"aab2bc63212b09834f6e0597703e7aff204d276c80c354b6c3df6757d5c543dc","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-11-25T19:42:53Z","title_canon_sha256":"326977c7a8eb566efa3ca8ab52f6910a33c109632938fd137f79891c6c38fdbe"},"schema_version":"1.0","source":{"id":"1611.08568","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.08568","created_at":"2026-05-18T00:41:12Z"},{"alias_kind":"arxiv_version","alias_value":"1611.08568v3","created_at":"2026-05-18T00:41:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.08568","created_at":"2026-05-18T00:41:12Z"},{"alias_kind":"pith_short_12","alias_value":"APXTAWCHVBQ7","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_16","alias_value":"APXTAWCHVBQ7W4U3","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_8","alias_value":"APXTAWCH","created_at":"2026-05-18T12:30:07Z"}],"graph_snapshots":[{"event_id":"sha256:e898b4c2fea96ebb9b5027aa98d4aeda6faaaef1ea3759d0591238961683127c","target":"graph","created_at":"2026-05-18T00:41:12Z","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 introduce a new framework for training deep generative models for high-dimensional conditional density estimation. The Bottleneck Conditional Density Estimator (BCDE) is a variant of the conditional variational autoencoder (CVAE) that employs layer(s) of stochastic variables as the bottleneck between the input $x$ and target $y$, where both are high-dimensional. Crucially, we propose a new hybrid training method that blends the conditional generative model with a joint generative model. Hybrid blending is the key to effective training of the BCDE, which avoids overfitting and provides a nov","authors_text":"Hung H. Bui, Mohammad Ghavamzadeh, Rui Shu","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-11-25T19:42:53Z","title":"Bottleneck Conditional Density Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.08568","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:f2d770b27878f6f5eaf0f87f6cf09e57b673567fe1daa705818ab454b2a012f6","target":"record","created_at":"2026-05-18T00:41:12Z","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":"aab2bc63212b09834f6e0597703e7aff204d276c80c354b6c3df6757d5c543dc","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-11-25T19:42:53Z","title_canon_sha256":"326977c7a8eb566efa3ca8ab52f6910a33c109632938fd137f79891c6c38fdbe"},"schema_version":"1.0","source":{"id":"1611.08568","kind":"arxiv","version":3}},"canonical_sha256":"03ef305847a861fb729ba9d3ab2882bb1ed68ca80d50cc914b3eeba6d2beb30d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"03ef305847a861fb729ba9d3ab2882bb1ed68ca80d50cc914b3eeba6d2beb30d","first_computed_at":"2026-05-18T00:41:12.703244Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:41:12.703244Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vTPceDV3l4dSn4GNnTIZKJKNioU6J4IA3WfkXNqGFvBYZltwma4FS1U8R6tEdW8+a28hf8WR3t7pYJtYrk3lCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:41:12.703853Z","signed_message":"canonical_sha256_bytes"},"source_id":"1611.08568","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f2d770b27878f6f5eaf0f87f6cf09e57b673567fe1daa705818ab454b2a012f6","sha256:e898b4c2fea96ebb9b5027aa98d4aeda6faaaef1ea3759d0591238961683127c"],"state_sha256":"9b11d061fdbc80995eb4c67aba775ee2df081df3b47bd07373d5e728bd810a03"}