{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:3D2LNB7VMY33XI3FFUDDDWB5AY","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":"6b449e34e0029a6e8cb474205307e5b8164b9bb03bf3bd4ee5c49007d7eb1ca3","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-02-03T21:29:04Z","title_canon_sha256":"5141ac34c95ec5c228d5ae4c341105b76b31f40b2e59bb264901e0946fdc19ef"},"schema_version":"1.0","source":{"id":"2202.01855","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.01855","created_at":"2026-07-05T04:36:09Z"},{"alias_kind":"arxiv_version","alias_value":"2202.01855v2","created_at":"2026-07-05T04:36:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.01855","created_at":"2026-07-05T04:36:09Z"},{"alias_kind":"pith_short_12","alias_value":"3D2LNB7VMY33","created_at":"2026-07-05T04:36:09Z"},{"alias_kind":"pith_short_16","alias_value":"3D2LNB7VMY33XI3F","created_at":"2026-07-05T04:36:09Z"},{"alias_kind":"pith_short_8","alias_value":"3D2LNB7V","created_at":"2026-07-05T04:36:09Z"}],"graph_snapshots":[{"event_id":"sha256:bc67f50de751b2281140e1c2c5ed0374d5f3133d78f10417d524007ad8ec69a7","target":"graph","created_at":"2026-07-05T04:36:09Z","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/2202.01855/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a simple and effective self-supervised learning approach for speech recognition. The approach learns a model to predict the masked speech signals, in the form of discrete labels generated with a random-projection quantizer. In particular the quantizer projects speech inputs with a randomly initialized matrix, and does a nearest-neighbor lookup in a randomly-initialized codebook. Neither the matrix nor the codebook is updated during self-supervised learning. Since the random-projection quantizer is not trained and is separated from the speech recognition model, the design makes the a","authors_text":"Chung-Cheng Chiu, James Qin, Jiahui Yu, Yonghui Wu, Yu Zhang","cross_cats":["cs.SD","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-02-03T21:29:04Z","title":"Self-supervised Learning with Random-projection Quantizer for Speech Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.01855","kind":"arxiv","version":2},"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":"sha256:74ebe0b9f620296fc9a04f807a2c79c3a061070c5c1511963f2522e456613936","target":"record","created_at":"2026-07-05T04:36:09Z","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":"6b449e34e0029a6e8cb474205307e5b8164b9bb03bf3bd4ee5c49007d7eb1ca3","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-02-03T21:29:04Z","title_canon_sha256":"5141ac34c95ec5c228d5ae4c341105b76b31f40b2e59bb264901e0946fdc19ef"},"schema_version":"1.0","source":{"id":"2202.01855","kind":"arxiv","version":2}},"canonical_sha256":"d8f4b687f56637bba3652d0631d83d062837be8923607cde3c64e2f1b0d96396","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d8f4b687f56637bba3652d0631d83d062837be8923607cde3c64e2f1b0d96396","first_computed_at":"2026-07-05T04:36:09.724275Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:36:09.724275Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6dl5iGMPLS30MkvmzM/8J5g4tDk2MJlM3CmoD09isZZL8esoJAa/rohA+oYjl9hQds2vE1AKykfzXfxpzprxBw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:36:09.724733Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.01855","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:74ebe0b9f620296fc9a04f807a2c79c3a061070c5c1511963f2522e456613936","sha256:bc67f50de751b2281140e1c2c5ed0374d5f3133d78f10417d524007ad8ec69a7"],"state_sha256":"07b9cebf5553d4da3140007ec06da03c2e8f8635ba3dca23c58cbfcda1fd8edf"}