{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:L7NFRXV43F2C2PFQJNRKTS2G44","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":"5cb95f1a94c7034bcb4b77bdf356256ba02253246f771f26f12ad9ca4447fbc3","cross_cats_sorted":["cs.CL","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2021-06-15T02:26:42Z","title_canon_sha256":"44b3e07ccda61e6ff6826f0ea0ba53b737029626171a7c3f68578c30e6758ade"},"schema_version":"1.0","source":{"id":"2106.07843","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.07843","created_at":"2026-07-05T03:12:49Z"},{"alias_kind":"arxiv_version","alias_value":"2106.07843v3","created_at":"2026-07-05T03:12:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.07843","created_at":"2026-07-05T03:12:49Z"},{"alias_kind":"pith_short_12","alias_value":"L7NFRXV43F2C","created_at":"2026-07-05T03:12:49Z"},{"alias_kind":"pith_short_16","alias_value":"L7NFRXV43F2C2PFQ","created_at":"2026-07-05T03:12:49Z"},{"alias_kind":"pith_short_8","alias_value":"L7NFRXV4","created_at":"2026-07-05T03:12:49Z"}],"graph_snapshots":[{"event_id":"sha256:dfdf0b6419a96d9850a7883985a2fc68d3cd52862e04cae8801c37f0c521f739","target":"graph","created_at":"2026-07-05T03:12:49Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2106.07843/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we introduce a novel semi-supervised learning framework for end-to-end speech separation. The proposed method first uses mixtures of unseparated sources and the mixture invariant training (MixIT) criterion to train a teacher model. The teacher model then estimates separated sources that are used to train a student model with standard permutation invariant training (PIT). The student model can be fine-tuned with supervised data, i.e., paired artificial mixtures and clean speech sources, and further improved via model distillation. Experiments with single and multi channel mixture","authors_text":"Catalin Zorila, Jisi Zhang, Jon Barker, Rama Doddipatla","cross_cats":["cs.CL","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2021-06-15T02:26:42Z","title":"Teacher-Student MixIT for Unsupervised and Semi-supervised Speech Separation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.07843","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:db6fec6de17eca75a3829347fe6e85f8f3d13e008998d61ac9bf1b8ef445c09d","target":"record","created_at":"2026-07-05T03:12:49Z","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":"5cb95f1a94c7034bcb4b77bdf356256ba02253246f771f26f12ad9ca4447fbc3","cross_cats_sorted":["cs.CL","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2021-06-15T02:26:42Z","title_canon_sha256":"44b3e07ccda61e6ff6826f0ea0ba53b737029626171a7c3f68578c30e6758ade"},"schema_version":"1.0","source":{"id":"2106.07843","kind":"arxiv","version":3}},"canonical_sha256":"5fda58debcd9742d3cb04b62a9cb46e73abedf960476526658157554f60a0f1d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5fda58debcd9742d3cb04b62a9cb46e73abedf960476526658157554f60a0f1d","first_computed_at":"2026-07-05T03:12:49.296505Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:12:49.296505Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TDDPUn1DjJedl1/GeRidLEaPMogRtI4UJyIn0Z4ExoJt4i0m3p0avJUHVwH3gAvur6Cy/4Mm88L9UTE7r495Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T03:12:49.296973Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.07843","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:db6fec6de17eca75a3829347fe6e85f8f3d13e008998d61ac9bf1b8ef445c09d","sha256:dfdf0b6419a96d9850a7883985a2fc68d3cd52862e04cae8801c37f0c521f739"],"state_sha256":"2519954dff63614549a2855e03ab1063d8a44679aac051a07b5519943b0b09ce"}