{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:CV44QYXFDSDLND3WZHO2Y52UX7","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":"6d276e92c8f1c5a7fa2cadd47697b3141857cc57ee9640d579063d0c86d30d8b","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-01-25T12:51:46Z","title_canon_sha256":"d4959e0143cd30a25c8f4ed35ef89593f69aea1f38013b7651528faf438a013d"},"schema_version":"1.0","source":{"id":"1601.06581","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1601.06581","created_at":"2026-05-18T01:11:49Z"},{"alias_kind":"arxiv_version","alias_value":"1601.06581v2","created_at":"2026-05-18T01:11:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1601.06581","created_at":"2026-05-18T01:11:49Z"},{"alias_kind":"pith_short_12","alias_value":"CV44QYXFDSDL","created_at":"2026-05-18T12:30:09Z"},{"alias_kind":"pith_short_16","alias_value":"CV44QYXFDSDLND3W","created_at":"2026-05-18T12:30:09Z"},{"alias_kind":"pith_short_8","alias_value":"CV44QYXF","created_at":"2026-05-18T12:30:09Z"}],"graph_snapshots":[{"event_id":"sha256:6c1035e0657147388592f59d90a01260197866cd9e57bef92d3af202c2eea5a7","target":"graph","created_at":"2026-05-18T01:11:49Z","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"},"paper":{"abstract_excerpt":"In real-time speech recognition applications, the latency is an important issue. We have developed a character-level incremental speech recognition (ISR) system that responds quickly even during the speech, where the hypotheses are gradually improved while the speaking proceeds. The algorithm employs a speech-to-character unidirectional recurrent neural network (RNN), which is end-to-end trained with connectionist temporal classification (CTC), and an RNN-based character-level language model (LM). The output values of the CTC-trained RNN are character-level probabilities, which are processed b","authors_text":"Kyuyeon Hwang, Wonyong Sung","cross_cats":["cs.LG","cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-01-25T12:51:46Z","title":"Character-Level Incremental Speech Recognition with Recurrent Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1601.06581","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":"sha256:3a97f91ade792a4011102403145800e45d68d0bdc52be7ee2b6c33af7fb82583","target":"record","created_at":"2026-05-18T01:11:49Z","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":"6d276e92c8f1c5a7fa2cadd47697b3141857cc57ee9640d579063d0c86d30d8b","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-01-25T12:51:46Z","title_canon_sha256":"d4959e0143cd30a25c8f4ed35ef89593f69aea1f38013b7651528faf438a013d"},"schema_version":"1.0","source":{"id":"1601.06581","kind":"arxiv","version":2}},"canonical_sha256":"1579c862e51c86b68f76c9ddac7754bfdd475c30a5ebbf6e5bbc19dcd0193f31","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1579c862e51c86b68f76c9ddac7754bfdd475c30a5ebbf6e5bbc19dcd0193f31","first_computed_at":"2026-05-18T01:11:49.799556Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:11:49.799556Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x8B+Mf7kFy2DQ6Ygh1t0GXgODoCK0TQ2+fAHdkBy3RBW8yvZ/fMbjE/8vkNhw0vElbm3C5AUDVQfL6rGAOKXCA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:11:49.799909Z","signed_message":"canonical_sha256_bytes"},"source_id":"1601.06581","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3a97f91ade792a4011102403145800e45d68d0bdc52be7ee2b6c33af7fb82583","sha256:6c1035e0657147388592f59d90a01260197866cd9e57bef92d3af202c2eea5a7"],"state_sha256":"b9b08a958d7f8f52f1a02796379ba4c5ec56facc86e3319771db137a5f7f61c9"}