{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:GTXTR4RY3ZUBDS4TQ36VD5H4CP","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":"e0d078b8a6c09483ceae1520f8ed05b4e16607223f7dddf99880b747f8300488","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-07-13T17:35:08Z","title_canon_sha256":"1318ffab39ff19f97c875e8724092b8df75cd3b44fbc3422bb26a7e1f23f45a4"},"schema_version":"1.0","source":{"id":"2207.06423","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.06423","created_at":"2026-07-05T04:40:12Z"},{"alias_kind":"arxiv_version","alias_value":"2207.06423v1","created_at":"2026-07-05T04:40:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.06423","created_at":"2026-07-05T04:40:12Z"},{"alias_kind":"pith_short_12","alias_value":"GTXTR4RY3ZUB","created_at":"2026-07-05T04:40:12Z"},{"alias_kind":"pith_short_16","alias_value":"GTXTR4RY3ZUBDS4T","created_at":"2026-07-05T04:40:12Z"},{"alias_kind":"pith_short_8","alias_value":"GTXTR4RY","created_at":"2026-07-05T04:40:12Z"}],"graph_snapshots":[{"event_id":"sha256:30eb972cf81774283ac62668c849c6618cea5732952fee6e4486670cf64a63f7","target":"graph","created_at":"2026-07-05T04:40:12Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2207.06423/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a novel approach for semi-supervised learning (SSL) designed to overcome distribution shifts between training and real-world data arising in the keyword spotting (KWS) task. Shifts from training data distribution are a key challenge for real-world KWS tasks: when a new model is deployed on device, the gating of the accepted data undergoes a shift in distribution, making the problem of timely updates via subsequent deployments hard. Despite the shift, we assume that the marginal distributions on labels do not change. We utilize a modified teacher/student training framework, where lab","authors_text":"Christin Jose, Joseph Wang, Lu Zeng, Sree Hari Krishnan Parthasarathi","cross_cats":["cs.AI","cs.LG","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-07-13T17:35:08Z","title":"Wakeword Detection under Distribution Shifts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.06423","kind":"arxiv","version":1},"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":"sha256:654922b08d4e525358fb6592a0134ef6c8e30a89d981ae9b4467f67434764aae","target":"record","created_at":"2026-07-05T04:40:12Z","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":"e0d078b8a6c09483ceae1520f8ed05b4e16607223f7dddf99880b747f8300488","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-07-13T17:35:08Z","title_canon_sha256":"1318ffab39ff19f97c875e8724092b8df75cd3b44fbc3422bb26a7e1f23f45a4"},"schema_version":"1.0","source":{"id":"2207.06423","kind":"arxiv","version":1}},"canonical_sha256":"34ef38f238de6811cb9386fd51f4fc13d5b02eea461223b0cc8495e86edf4d97","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"34ef38f238de6811cb9386fd51f4fc13d5b02eea461223b0cc8495e86edf4d97","first_computed_at":"2026-07-05T04:40:12.486649Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:40:12.486649Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"z4XEjn1Cica4X5YT0U+79AZhQr7yS7jOvlBxAQI+vZ9Qzr56IRgMjORv9Uni+bHhZUmcmdcv1xN0qeJaVu/dAw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:40:12.487022Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.06423","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:654922b08d4e525358fb6592a0134ef6c8e30a89d981ae9b4467f67434764aae","sha256:30eb972cf81774283ac62668c849c6618cea5732952fee6e4486670cf64a63f7"],"state_sha256":"d49dcdb51e29e25cee8c9a6a41528ac5dfa2b1fc78accdd6495647c690c20c5d"}