{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:XYTBLKP6EFWKPZDTAP3BSOD5IF","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":"555360f4bac9346739ea3c37b2d36206378ec153c9878ceac5dbc48f210344ee","cross_cats_sorted":["cs.AI","cs.CL","cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-02-19T18:18:59Z","title_canon_sha256":"afc7e3d3670f0db19b073868c6c85f645312ac51879e8269749541df649bc594"},"schema_version":"1.0","source":{"id":"1902.07178","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.07178","created_at":"2026-05-17T23:53:39Z"},{"alias_kind":"arxiv_version","alias_value":"1902.07178v1","created_at":"2026-05-17T23:53:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.07178","created_at":"2026-05-17T23:53:39Z"},{"alias_kind":"pith_short_12","alias_value":"XYTBLKP6EFWK","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"XYTBLKP6EFWKPZDT","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"XYTBLKP6","created_at":"2026-05-18T12:33:33Z"}],"graph_snapshots":[{"event_id":"sha256:46f10a370dfb9696f9d0f2ad68751cd62a7fbb2f5f7a3addb54ce5970c452bc3","target":"graph","created_at":"2026-05-17T23:53:39Z","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":"Attention-based sequence-to-sequence models for speech recognition jointly train an acoustic model, language model (LM), and alignment mechanism using a single neural network and require only parallel audio-text pairs. Thus, the language model component of the end-to-end model is only trained on transcribed audio-text pairs, which leads to performance degradation especially on rare words. While there have been a variety of work that look at incorporating an external LM trained on text-only data into the end-to-end framework, none of them have taken into account the characteristic error distrib","authors_text":"Jinxi Guo, Ron J. Weiss, Tara N. Sainath","cross_cats":["cs.AI","cs.CL","cs.LG","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-02-19T18:18:59Z","title":"A spelling correction model for end-to-end speech recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.07178","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":"sha256:57ee5867e20f2c77e6e8e2a9130974d101a9cb83cc3e5f248c2f3aa92f6d6290","target":"record","created_at":"2026-05-17T23:53:39Z","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":"555360f4bac9346739ea3c37b2d36206378ec153c9878ceac5dbc48f210344ee","cross_cats_sorted":["cs.AI","cs.CL","cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-02-19T18:18:59Z","title_canon_sha256":"afc7e3d3670f0db19b073868c6c85f645312ac51879e8269749541df649bc594"},"schema_version":"1.0","source":{"id":"1902.07178","kind":"arxiv","version":1}},"canonical_sha256":"be2615a9fe216ca7e47303f619387d415446ba1937c114b20509db0ce0a2a078","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"be2615a9fe216ca7e47303f619387d415446ba1937c114b20509db0ce0a2a078","first_computed_at":"2026-05-17T23:53:39.717512Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:53:39.717512Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rGsDY23CeHt5kvBcSHOIJ6nq9L8OXYbFVKtLEt5+GzIv41+oiQrLOtBbvFD5mn8whR0nc6ei66BaLL1kVl41AA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:53:39.718282Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.07178","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:57ee5867e20f2c77e6e8e2a9130974d101a9cb83cc3e5f248c2f3aa92f6d6290","sha256:46f10a370dfb9696f9d0f2ad68751cd62a7fbb2f5f7a3addb54ce5970c452bc3"],"state_sha256":"d8f47c61aa5e102c816424bcb36edaa9d2b7ec435e45db37afb41c4f670b8b64"}