{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:RVF74HTHJOSIU3SVXOUYJ53BV3","short_pith_number":"pith:RVF74HTH","canonical_record":{"source":{"id":"1605.06197","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-05-20T02:20:13Z","cross_cats_sorted":[],"title_canon_sha256":"a0b689e7b4bbf1ed8155e0df7313adc6183803bba74c45bd03b2bd899007ed2b","abstract_canon_sha256":"5a1e0a63245ace95a38396cebd5fdea6a044c0e7709e61d4aacbd8e31d6d0540"},"schema_version":"1.0"},"canonical_sha256":"8d4bfe1e674ba48a6e55bba984f761aec74627aeaef9752c61bcd543d52388af","source":{"kind":"arxiv","id":"1605.06197","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.06197","created_at":"2026-05-18T00:47:20Z"},{"alias_kind":"arxiv_version","alias_value":"1605.06197v3","created_at":"2026-05-18T00:47:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.06197","created_at":"2026-05-18T00:47:20Z"},{"alias_kind":"pith_short_12","alias_value":"RVF74HTHJOSI","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_16","alias_value":"RVF74HTHJOSIU3SV","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_8","alias_value":"RVF74HTH","created_at":"2026-05-18T12:30:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:RVF74HTHJOSIU3SVXOUYJ53BV3","target":"record","payload":{"canonical_record":{"source":{"id":"1605.06197","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-05-20T02:20:13Z","cross_cats_sorted":[],"title_canon_sha256":"a0b689e7b4bbf1ed8155e0df7313adc6183803bba74c45bd03b2bd899007ed2b","abstract_canon_sha256":"5a1e0a63245ace95a38396cebd5fdea6a044c0e7709e61d4aacbd8e31d6d0540"},"schema_version":"1.0"},"canonical_sha256":"8d4bfe1e674ba48a6e55bba984f761aec74627aeaef9752c61bcd543d52388af","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:47:20.964176Z","signature_b64":"L1KP8XaU61pBevqhYtqKBGBey0KjDnwW5rhganopAmSAlxwf2dPeIzGjY8nnLX50SCvzu0ZF1j16bZPq2eIFBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8d4bfe1e674ba48a6e55bba984f761aec74627aeaef9752c61bcd543d52388af","last_reissued_at":"2026-05-18T00:47:20.963563Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:47:20.963563Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1605.06197","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:47:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0frxxMeFEDHGtZwlZzB0DUnOqSQCEnDTSfa3zTNDNovs4mMNpMaKkIGD2iM4dNINUDvyv51iv34qGjN99MdwDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T20:48:25.078721Z"},"content_sha256":"5ab9593a105d795e8b76d39ecce7da1c39a858ebb8ca4da30d1dc63903c634ab","schema_version":"1.0","event_id":"sha256:5ab9593a105d795e8b76d39ecce7da1c39a858ebb8ca4da30d1dc63903c634ab"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:RVF74HTHJOSIU3SVXOUYJ53BV3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Stick-Breaking Variational Autoencoders","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ML","authors_text":"Eric Nalisnick, Padhraic Smyth","submitted_at":"2016-05-20T02:20:13Z","abstract_excerpt":"We extend Stochastic Gradient Variational Bayes to perform posterior inference for the weights of Stick-Breaking processes. This development allows us to define a Stick-Breaking Variational Autoencoder (SB-VAE), a Bayesian nonparametric version of the variational autoencoder that has a latent representation with stochastic dimensionality. We experimentally demonstrate that the SB-VAE, and a semi-supervised variant, learn highly discriminative latent representations that often outperform the Gaussian VAE's."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.06197","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:47:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"quHe8SwZipNb9YScW2010hV4/DULyFkMQ834A32vWhBUBnsCr9h/IO39zuWdSl/WsNEmixTnWZGdOQY7+PVBDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T20:48:25.079395Z"},"content_sha256":"0dcd04bc066273c37f23c707649ab4ab4135a2560d62afad63dd37733e9a6a67","schema_version":"1.0","event_id":"sha256:0dcd04bc066273c37f23c707649ab4ab4135a2560d62afad63dd37733e9a6a67"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RVF74HTHJOSIU3SVXOUYJ53BV3/bundle.json","state_url":"https://pith.science/pith/RVF74HTHJOSIU3SVXOUYJ53BV3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RVF74HTHJOSIU3SVXOUYJ53BV3/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-27T20:48:25Z","links":{"resolver":"https://pith.science/pith/RVF74HTHJOSIU3SVXOUYJ53BV3","bundle":"https://pith.science/pith/RVF74HTHJOSIU3SVXOUYJ53BV3/bundle.json","state":"https://pith.science/pith/RVF74HTHJOSIU3SVXOUYJ53BV3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RVF74HTHJOSIU3SVXOUYJ53BV3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:RVF74HTHJOSIU3SVXOUYJ53BV3","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":"5a1e0a63245ace95a38396cebd5fdea6a044c0e7709e61d4aacbd8e31d6d0540","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-05-20T02:20:13Z","title_canon_sha256":"a0b689e7b4bbf1ed8155e0df7313adc6183803bba74c45bd03b2bd899007ed2b"},"schema_version":"1.0","source":{"id":"1605.06197","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.06197","created_at":"2026-05-18T00:47:20Z"},{"alias_kind":"arxiv_version","alias_value":"1605.06197v3","created_at":"2026-05-18T00:47:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.06197","created_at":"2026-05-18T00:47:20Z"},{"alias_kind":"pith_short_12","alias_value":"RVF74HTHJOSI","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_16","alias_value":"RVF74HTHJOSIU3SV","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_8","alias_value":"RVF74HTH","created_at":"2026-05-18T12:30:41Z"}],"graph_snapshots":[{"event_id":"sha256:0dcd04bc066273c37f23c707649ab4ab4135a2560d62afad63dd37733e9a6a67","target":"graph","created_at":"2026-05-18T00:47:20Z","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 extend Stochastic Gradient Variational Bayes to perform posterior inference for the weights of Stick-Breaking processes. This development allows us to define a Stick-Breaking Variational Autoencoder (SB-VAE), a Bayesian nonparametric version of the variational autoencoder that has a latent representation with stochastic dimensionality. We experimentally demonstrate that the SB-VAE, and a semi-supervised variant, learn highly discriminative latent representations that often outperform the Gaussian VAE's.","authors_text":"Eric Nalisnick, Padhraic Smyth","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-05-20T02:20:13Z","title":"Stick-Breaking Variational Autoencoders"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.06197","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":"sha256:5ab9593a105d795e8b76d39ecce7da1c39a858ebb8ca4da30d1dc63903c634ab","target":"record","created_at":"2026-05-18T00:47:20Z","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":"5a1e0a63245ace95a38396cebd5fdea6a044c0e7709e61d4aacbd8e31d6d0540","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-05-20T02:20:13Z","title_canon_sha256":"a0b689e7b4bbf1ed8155e0df7313adc6183803bba74c45bd03b2bd899007ed2b"},"schema_version":"1.0","source":{"id":"1605.06197","kind":"arxiv","version":3}},"canonical_sha256":"8d4bfe1e674ba48a6e55bba984f761aec74627aeaef9752c61bcd543d52388af","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8d4bfe1e674ba48a6e55bba984f761aec74627aeaef9752c61bcd543d52388af","first_computed_at":"2026-05-18T00:47:20.963563Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:47:20.963563Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"L1KP8XaU61pBevqhYtqKBGBey0KjDnwW5rhganopAmSAlxwf2dPeIzGjY8nnLX50SCvzu0ZF1j16bZPq2eIFBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:47:20.964176Z","signed_message":"canonical_sha256_bytes"},"source_id":"1605.06197","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5ab9593a105d795e8b76d39ecce7da1c39a858ebb8ca4da30d1dc63903c634ab","sha256:0dcd04bc066273c37f23c707649ab4ab4135a2560d62afad63dd37733e9a6a67"],"state_sha256":"79ae31425c23271c6daf5604f6cf9ad3331f2d66f96fe9591717fc7ae287bcfb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JYIBjlXqXAMeZhjTS5Ni726rEpdmUM8wbgOTbVG2sEyeOJu295c5ejYw252nHVA2cWps872pBZg4zea5+vzVAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T20:48:25.082936Z","bundle_sha256":"5e0c87ea9401d587d8fed90eff84e815f269d6482a5aa6c4c8ba4759cc04046e"}}