{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:OKE4F2UEIJ3T5RYYKI3YWVG36O","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":"26509cd93d83d75542cb21f6e908e89c5b017f55bde668095556dd0c34875ed6","cross_cats_sorted":["cs.AI","cs.LG","cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-10-12T21:12:56Z","title_canon_sha256":"a55e7a651b6bbfe983a461b609ea32c425794d1ac0643af8d65da27d689494ba"},"schema_version":"1.0","source":{"id":"2010.06030","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.06030","created_at":"2026-07-05T02:10:17Z"},{"alias_kind":"arxiv_version","alias_value":"2010.06030v2","created_at":"2026-07-05T02:10:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.06030","created_at":"2026-07-05T02:10:17Z"},{"alias_kind":"pith_short_12","alias_value":"OKE4F2UEIJ3T","created_at":"2026-07-05T02:10:17Z"},{"alias_kind":"pith_short_16","alias_value":"OKE4F2UEIJ3T5RYY","created_at":"2026-07-05T02:10:17Z"},{"alias_kind":"pith_short_8","alias_value":"OKE4F2UE","created_at":"2026-07-05T02:10:17Z"}],"graph_snapshots":[{"event_id":"sha256:9233094382906b6c1bd220dc2ed661c4708a7414d132094a51a9d8df37b5846e","target":"graph","created_at":"2026-07-05T02:10:17Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2010.06030/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Streaming automatic speech recognition (ASR) aims to emit each hypothesized word as quickly and accurately as possible, while full-context ASR waits for the completion of a full speech utterance before emitting completed hypotheses. In this work, we propose a unified framework, Dual-mode ASR, to train a single end-to-end ASR model with shared weights for both streaming and full-context speech recognition. We show that the latency and accuracy of streaming ASR significantly benefit from weight sharing and joint training of full-context ASR, especially with inplace knowledge distillation during ","authors_text":"Anmol Gulati, Bo Li, Chung-Cheng Chiu, Jiahui Yu, Ruoming Pang, Tara N. Sainath, Wei Han, Yonghui Wu","cross_cats":["cs.AI","cs.LG","cs.SD","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-10-12T21:12:56Z","title":"Dual-mode ASR: Unify and Improve Streaming ASR with Full-context Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.06030","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":"sha256:58ceb601a4b3806ed88bb75e97a52443580323c8dd2969e078663597343af0c3","target":"record","created_at":"2026-07-05T02:10:17Z","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":"26509cd93d83d75542cb21f6e908e89c5b017f55bde668095556dd0c34875ed6","cross_cats_sorted":["cs.AI","cs.LG","cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-10-12T21:12:56Z","title_canon_sha256":"a55e7a651b6bbfe983a461b609ea32c425794d1ac0643af8d65da27d689494ba"},"schema_version":"1.0","source":{"id":"2010.06030","kind":"arxiv","version":2}},"canonical_sha256":"7289c2ea8442773ec71852378b54dbf380d42475553a2cbcd6f82085aecce1e3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7289c2ea8442773ec71852378b54dbf380d42475553a2cbcd6f82085aecce1e3","first_computed_at":"2026-07-05T02:10:17.547784Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:10:17.547784Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7O3dQJra6xtTqvkllR/y8TVNwhTUcQB+tpLepZVG2mttz0cF0XpqMq/MgcuSBfKkw0S0QyDQ9JO+PGeVbbH7CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:10:17.548196Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.06030","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:58ceb601a4b3806ed88bb75e97a52443580323c8dd2969e078663597343af0c3","sha256:9233094382906b6c1bd220dc2ed661c4708a7414d132094a51a9d8df37b5846e"],"state_sha256":"ba319da8ed009c8cbc5e59e7987dd99dcd742537361ad7a731c747f5dd878275"}