{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:DBIV7KCGS6HIRJYP7UAUFELKEQ","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":"1054929adeb1568322de46ed31a5270dfee5b74fb86ca2a53f7f23048de52346","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2021-08-03T18:58:39Z","title_canon_sha256":"cfeb5190aec76ab0f7d19317ffc546e66add09a7fb432ef2911322481476ed88"},"schema_version":"1.0","source":{"id":"2108.01704","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.01704","created_at":"2026-07-05T03:03:09Z"},{"alias_kind":"arxiv_version","alias_value":"2108.01704v1","created_at":"2026-07-05T03:03:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.01704","created_at":"2026-07-05T03:03:09Z"},{"alias_kind":"pith_short_12","alias_value":"DBIV7KCGS6HI","created_at":"2026-07-05T03:03:09Z"},{"alias_kind":"pith_short_16","alias_value":"DBIV7KCGS6HIRJYP","created_at":"2026-07-05T03:03:09Z"},{"alias_kind":"pith_short_8","alias_value":"DBIV7KCG","created_at":"2026-07-05T03:03:09Z"}],"graph_snapshots":[{"event_id":"sha256:5d18df544b405bc36fc757f7ed361a501b150c64eb368ec95f6763aafb8cbdae","target":"graph","created_at":"2026-07-05T03:03:09Z","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/2108.01704/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present Bifocal RNN-T, a new variant of the Recurrent Neural Network Transducer (RNN-T) architecture designed for improved inference time latency on speech recognition tasks. The architecture enables a dynamic pivot for its runtime compute pathway, namely taking advantage of keyword spotting to select which component of the network to execute for a given audio frame. To accomplish this, we leverage a recurrent cell we call the Bifocal LSTM (BFLSTM), which we detail in the paper. The architecture is compatible with other optimization strategies such as quantization, sparsification, and apply","authors_text":"Ariya Rastrow, Grant P. Strimel, Jonathan Macoskey","cross_cats":["cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2021-08-03T18:58:39Z","title":"Bifocal Neural ASR: Exploiting Keyword Spotting for Inference Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.01704","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":"sha256:75ea54ff36e77fe39c6a687472603c6f5b434c22d22b753578b0d695dddcaf27","target":"record","created_at":"2026-07-05T03:03:09Z","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":"1054929adeb1568322de46ed31a5270dfee5b74fb86ca2a53f7f23048de52346","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2021-08-03T18:58:39Z","title_canon_sha256":"cfeb5190aec76ab0f7d19317ffc546e66add09a7fb432ef2911322481476ed88"},"schema_version":"1.0","source":{"id":"2108.01704","kind":"arxiv","version":1}},"canonical_sha256":"18515fa846978e88a70ffd0142916a24114527d52ee2b933dd6140933251f4ae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"18515fa846978e88a70ffd0142916a24114527d52ee2b933dd6140933251f4ae","first_computed_at":"2026-07-05T03:03:09.793915Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:03:09.793915Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"h+qjiBx84zWSVlxkpWsKUdvg4SyrVhWXlfGzn9JKURMKH6DBBW5vBv9a1uPJzp7zdQtabxLUn+4XPm+6M4qACA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:03:09.794443Z","signed_message":"canonical_sha256_bytes"},"source_id":"2108.01704","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:75ea54ff36e77fe39c6a687472603c6f5b434c22d22b753578b0d695dddcaf27","sha256:5d18df544b405bc36fc757f7ed361a501b150c64eb368ec95f6763aafb8cbdae"],"state_sha256":"d8059eca9be0c3dc2f962987a04f2b9091b33ea501f1c8f5ef147a32a7227959"}