{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:MJKJLGIJFSK67UQBWXXSQISPWD","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":"3346638696b88a886e4c86ab6ce57a5785db289a5989965450c751476c7806a9","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-08-02T16:30:51Z","title_canon_sha256":"f5d482b916a0ac13358daa30249825bb94b993a9827bec61290635a672c1923e"},"schema_version":"1.0","source":{"id":"1808.00892","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.00892","created_at":"2026-05-18T00:07:17Z"},{"alias_kind":"arxiv_version","alias_value":"1808.00892v3","created_at":"2026-05-18T00:07:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.00892","created_at":"2026-05-18T00:07:17Z"},{"alias_kind":"pith_short_12","alias_value":"MJKJLGIJFSK6","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"MJKJLGIJFSK67UQB","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"MJKJLGIJ","created_at":"2026-05-18T12:32:37Z"}],"graph_snapshots":[{"event_id":"sha256:a938fe42df792cc72c0bdfebd98c5526c2967b02d3751eee822c3e438641ced5","target":"graph","created_at":"2026-05-18T00:07:17Z","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":"This paper proposes a multichannel source separation technique called the multichannel variational autoencoder (MVAE) method, which uses a conditional VAE (CVAE) to model and estimate the power spectrograms of the sources in a mixture. By training the CVAE using the spectrograms of training examples with source-class labels, we can use the trained decoder distribution as a universal generative model capable of generating spectrograms conditioned on a specified class label. By treating the latent space variables and the class label as the unknown parameters of this generative model, we can deve","authors_text":"Hirokazu Kameoka, Li Li, Shoji Makino, Shota Inoue","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-08-02T16:30:51Z","title":"Semi-blind source separation with multichannel variational autoencoder"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.00892","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":"sha256:351a12e421a34feec328592f6cde5d0efb5ed06215ca684e4e46f45277653ee7","target":"record","created_at":"2026-05-18T00:07:17Z","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":"3346638696b88a886e4c86ab6ce57a5785db289a5989965450c751476c7806a9","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-08-02T16:30:51Z","title_canon_sha256":"f5d482b916a0ac13358daa30249825bb94b993a9827bec61290635a672c1923e"},"schema_version":"1.0","source":{"id":"1808.00892","kind":"arxiv","version":3}},"canonical_sha256":"62549599092c95efd201b5ef28224fb0f3c887da3ef2f72a157290dd4a7dffcb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"62549599092c95efd201b5ef28224fb0f3c887da3ef2f72a157290dd4a7dffcb","first_computed_at":"2026-05-18T00:07:17.086176Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:07:17.086176Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lyYZE1/PVpL1N8MCbNLJE0kSDHnO5k6bdti/A8Pd9UN2nTURCZYI/8ngwfu3chdAog9ZQ3MMsuzScR+iUnn0DQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:07:17.086756Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.00892","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:351a12e421a34feec328592f6cde5d0efb5ed06215ca684e4e46f45277653ee7","sha256:a938fe42df792cc72c0bdfebd98c5526c2967b02d3751eee822c3e438641ced5"],"state_sha256":"384983eaba2029953f051b1778813938a942827defb2ee5849fc4597ee1dbe0e"}