{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:5WAOIBOVPX4S7RCPMBLXUGQCRT","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":"47bbeebf241a56d58df0f20724d5852e4589ba156a592a32db4b9d5573d293b1","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-12-11T22:07:23Z","title_canon_sha256":"729f2820ab7eeca81323c230678e5e4edd43e7454e9200c199cc2fee6df651be"},"schema_version":"1.0","source":{"id":"2012.06659","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.06659","created_at":"2026-07-05T01:58:58Z"},{"alias_kind":"arxiv_version","alias_value":"2012.06659v1","created_at":"2026-07-05T01:58:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.06659","created_at":"2026-07-05T01:58:58Z"},{"alias_kind":"pith_short_12","alias_value":"5WAOIBOVPX4S","created_at":"2026-07-05T01:58:58Z"},{"alias_kind":"pith_short_16","alias_value":"5WAOIBOVPX4S7RCP","created_at":"2026-07-05T01:58:58Z"},{"alias_kind":"pith_short_8","alias_value":"5WAOIBOV","created_at":"2026-07-05T01:58:58Z"}],"graph_snapshots":[{"event_id":"sha256:e6ee095122d4ab9197688382e549eb527854bc83a2cd455ccb6f819080cbaa8c","target":"graph","created_at":"2026-07-05T01:58:58Z","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/2012.06659/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent success in speech representation learning enables a new way to leverage unlabeled data to train speech recognition model. In speech representation learning, a large amount of unlabeled data is used in a self-supervised manner to learn a feature representation. Then a smaller amount of labeled data is used to train a downstream ASR system using the new feature representations. Based on our previous work DeCoAR and inspirations from other speech representation learning, we propose DeCoAR 2.0, a Deep Contextualized Acoustic Representation with vector quantization. We introduce several modi","authors_text":"Shaoshi Ling, Yuzong Liu","cross_cats":["cs.CL","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-12-11T22:07:23Z","title":"DeCoAR 2.0: Deep Contextualized Acoustic Representations with Vector Quantization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.06659","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:ae2e731603eb657fa4363206acaafb84d090bb1d55f46919145bdcc3de977f8d","target":"record","created_at":"2026-07-05T01:58:58Z","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":"47bbeebf241a56d58df0f20724d5852e4589ba156a592a32db4b9d5573d293b1","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-12-11T22:07:23Z","title_canon_sha256":"729f2820ab7eeca81323c230678e5e4edd43e7454e9200c199cc2fee6df651be"},"schema_version":"1.0","source":{"id":"2012.06659","kind":"arxiv","version":1}},"canonical_sha256":"ed80e405d57df92fc44f60577a1a028ce11743797bce42de77c71c52fcb31143","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ed80e405d57df92fc44f60577a1a028ce11743797bce42de77c71c52fcb31143","first_computed_at":"2026-07-05T01:58:58.227402Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:58:58.227402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TiRBUFnQOOPoHWdPsMQ1nf4P/l9okfQtm7MNuzGXrc3unaKqNezT7CegwSwpNmo66QWcpOQpalG5O0yVn8ByCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:58:58.227877Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.06659","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ae2e731603eb657fa4363206acaafb84d090bb1d55f46919145bdcc3de977f8d","sha256:e6ee095122d4ab9197688382e549eb527854bc83a2cd455ccb6f819080cbaa8c"],"state_sha256":"7b50492cb527ccab6146d58c41412ab9c0e6bcebf051343cc8e5deaf6d05b1fb"}