{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:HDH6J3YPISA47Q4ONFEYH3TULJ","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":"c5810de4c3329cebdf9a457f8adfe33051a77c595cea70d01c13646cfa738664","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-02-21T08:44:56Z","title_canon_sha256":"f25e25a31d048037747221e35aa3679f0669e791a70893744efcb9b11ee894d1"},"schema_version":"1.0","source":{"id":"2203.02317","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.02317","created_at":"2026-07-05T04:02:03Z"},{"alias_kind":"arxiv_version","alias_value":"2203.02317v1","created_at":"2026-07-05T04:02:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.02317","created_at":"2026-07-05T04:02:03Z"},{"alias_kind":"pith_short_12","alias_value":"HDH6J3YPISA4","created_at":"2026-07-05T04:02:03Z"},{"alias_kind":"pith_short_16","alias_value":"HDH6J3YPISA47Q4O","created_at":"2026-07-05T04:02:03Z"},{"alias_kind":"pith_short_8","alias_value":"HDH6J3YP","created_at":"2026-07-05T04:02:03Z"}],"graph_snapshots":[{"event_id":"sha256:4d070ad918177fdc6cb8eedcc4de7fcbcf7d4ffedbd73e8616b79e5cd3690c43","target":"graph","created_at":"2026-07-05T04:02:03Z","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/2203.02317/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"RNN-Transducer (RNN-T) models have become synonymous with streaming end-to-end ASR systems. While they perform competitively on a number of evaluation categories, rare words pose a serious challenge to RNN-T models. One main reason for the degradation in performance on rare words is that the language model (LM) internal to RNN-Ts can become overconfident and lead to hallucinated predictions that are acoustically inconsistent with the underlying speech. To address this issue, we propose a lightweight adaptive LM discounting technique AdaptLMD, that can be used with any RNN-T architecture withou","authors_text":"Ashish Mittal, Preethi Jyothi, Samarth Bharadwaj, Shreya Khare, Sunita Sarawagi, Vinit Unni","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-02-21T08:44:56Z","title":"Adaptive Discounting of Implicit Language Models in RNN-Transducers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.02317","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":"sha256:2a260c15bc41667934f40df06bd080b9efb8f24705ba5183a7e94462f510b2e7","target":"record","created_at":"2026-07-05T04:02:03Z","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":"c5810de4c3329cebdf9a457f8adfe33051a77c595cea70d01c13646cfa738664","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-02-21T08:44:56Z","title_canon_sha256":"f25e25a31d048037747221e35aa3679f0669e791a70893744efcb9b11ee894d1"},"schema_version":"1.0","source":{"id":"2203.02317","kind":"arxiv","version":1}},"canonical_sha256":"38cfe4ef0f4481cfc38e694983ee745a7c4209c41360ce28be16ed6a23d0f93b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"38cfe4ef0f4481cfc38e694983ee745a7c4209c41360ce28be16ed6a23d0f93b","first_computed_at":"2026-07-05T04:02:03.620783Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:02:03.620783Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2HxPPvwPKNNA4BaSka4X0PSMcJOGcg5omBviAKlwxknq3Nb+Oa+gQpDVRIWY+fhwEmodXf5IQumSKEK8kg9SCw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:02:03.621174Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.02317","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a260c15bc41667934f40df06bd080b9efb8f24705ba5183a7e94462f510b2e7","sha256:4d070ad918177fdc6cb8eedcc4de7fcbcf7d4ffedbd73e8616b79e5cd3690c43"],"state_sha256":"d36d0d4e73667539e081a033e057b14363afa81e219ab8f85973f50c230b4d46"}