{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SO3RDK2WQZCA2CR2WSEVXB2Y4V","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":"f9d042b3e0060bc19e86706ba2f7ce0fcb1bfee03da7bea8482ba81e0b7e95b3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-23T11:54:25Z","title_canon_sha256":"425aa7e0ab9f475f0181dac05d9dc0485305495533ab9018b48839c807fb0b3a"},"schema_version":"1.0","source":{"id":"2408.13008","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.13008","created_at":"2026-07-05T08:58:33Z"},{"alias_kind":"arxiv_version","alias_value":"2408.13008v1","created_at":"2026-07-05T08:58:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.13008","created_at":"2026-07-05T08:58:33Z"},{"alias_kind":"pith_short_12","alias_value":"SO3RDK2WQZCA","created_at":"2026-07-05T08:58:33Z"},{"alias_kind":"pith_short_16","alias_value":"SO3RDK2WQZCA2CR2","created_at":"2026-07-05T08:58:33Z"},{"alias_kind":"pith_short_8","alias_value":"SO3RDK2W","created_at":"2026-07-05T08:58:33Z"}],"graph_snapshots":[{"event_id":"sha256:2e3ffe9a21b9e44259558a98616de1fb6d60d34499382b843e894edf4c081b90","target":"graph","created_at":"2026-07-05T08:58:33Z","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/2408.13008/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper introduces a novel training framework called Focused Discriminative Training (FDT) to further improve streaming word-piece end-to-end (E2E) automatic speech recognition (ASR) models trained using either CTC or an interpolation of CTC and attention-based encoder-decoder (AED) loss. The proposed approach presents a novel framework to identify and improve a model's recognition on challenging segments of an audio. Notably, this training framework is independent of hidden Markov models (HMMs) and lattices, eliminating the need for substantial decision-making regarding HMM topology, lexic","authors_text":"Adnan Haider, Erik McDermott, Tim Ng, Xiaodan Zhuang, Xingyu Na, Zhen Huang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-23T11:54:25Z","title":"Focused Discriminative Training For Streaming CTC-Trained Automatic Speech Recognition Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.13008","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":"sha256:2cbac9f4d5c70014686007085d549bcccd35af2ee2c37c342f97244c0813c5cf","target":"record","created_at":"2026-07-05T08:58:33Z","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":"f9d042b3e0060bc19e86706ba2f7ce0fcb1bfee03da7bea8482ba81e0b7e95b3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-23T11:54:25Z","title_canon_sha256":"425aa7e0ab9f475f0181dac05d9dc0485305495533ab9018b48839c807fb0b3a"},"schema_version":"1.0","source":{"id":"2408.13008","kind":"arxiv","version":1}},"canonical_sha256":"93b711ab5686440d0a3ab4895b8758e548eae9f1cb23da12ba0a356974592a7d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"93b711ab5686440d0a3ab4895b8758e548eae9f1cb23da12ba0a356974592a7d","first_computed_at":"2026-07-05T08:58:33.788803Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:58:33.788803Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aoJb3f6dLxChgcsKHmb0djvOYsDCVK9oMZKsO4IRnMlXZMHOH1b6NjDq6uDHkBSVbirM2kzIbaK4jJzi02EcAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:58:33.789204Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.13008","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2cbac9f4d5c70014686007085d549bcccd35af2ee2c37c342f97244c0813c5cf","sha256:2e3ffe9a21b9e44259558a98616de1fb6d60d34499382b843e894edf4c081b90"],"state_sha256":"128ed8a65411c7d2ce5048faf47e8b007198256ed385941163490ebff3792248"}