{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:JT7PUJVQCJIUWKI7YNEHC6B3TJ","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":"038bcbf0a17b5c33103945f21f5200f8e572193bc250128587c531e1e069ae4a","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-10-01T02:23:00Z","title_canon_sha256":"e2a15b481865c94970ee965029e945df4a2e6055ef2c59365b5ac4e9efcf121b"},"schema_version":"1.0","source":{"id":"2210.00169","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.00169","created_at":"2026-07-05T05:02:29Z"},{"alias_kind":"arxiv_version","alias_value":"2210.00169v1","created_at":"2026-07-05T05:02:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.00169","created_at":"2026-07-05T05:02:29Z"},{"alias_kind":"pith_short_12","alias_value":"JT7PUJVQCJIU","created_at":"2026-07-05T05:02:29Z"},{"alias_kind":"pith_short_16","alias_value":"JT7PUJVQCJIUWKI7","created_at":"2026-07-05T05:02:29Z"},{"alias_kind":"pith_short_8","alias_value":"JT7PUJVQ","created_at":"2026-07-05T05:02:29Z"}],"graph_snapshots":[{"event_id":"sha256:56eb7dafe86f74d2b43c51fb47d6d84798f2d42ea6e38966a9fee2bf6f3243bb","target":"graph","created_at":"2026-07-05T05:02:29Z","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/2210.00169/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The smaller memory bandwidth in smart devices prompts development of smaller Automatic Speech Recognition (ASR) models. To obtain a smaller model, one can employ the model compression techniques. Knowledge distillation (KD) is a popular model compression approach that has shown to achieve smaller model size with relatively lesser degradation in the model performance. In this approach, knowledge is distilled from a trained large size teacher model to a smaller size student model. Also, the transducer based models have recently shown to perform well for on-device streaming ASR task, while the co","authors_text":"Dhananjaya Gowda, Jash Rathod, Nauman Dawalatabad, Shatrughan Singh","cross_cats":["cs.LG","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-10-01T02:23:00Z","title":"Multi-stage Progressive Compression of Conformer Transducer for On-device Speech Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.00169","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":"sha256:115779f25963ec2f51759a39eac7e2ff94e3e520f47649b32bbf9f3ece152579","target":"record","created_at":"2026-07-05T05:02:29Z","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":"038bcbf0a17b5c33103945f21f5200f8e572193bc250128587c531e1e069ae4a","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-10-01T02:23:00Z","title_canon_sha256":"e2a15b481865c94970ee965029e945df4a2e6055ef2c59365b5ac4e9efcf121b"},"schema_version":"1.0","source":{"id":"2210.00169","kind":"arxiv","version":1}},"canonical_sha256":"4cfefa26b012514b291fc34871783b9a74e02eac18b6091f91cd3f02c8211e08","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4cfefa26b012514b291fc34871783b9a74e02eac18b6091f91cd3f02c8211e08","first_computed_at":"2026-07-05T05:02:29.273559Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:02:29.273559Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YXW2emfQBBGOVapDZ7ui2gkb/ozFUA3l5+4ZwrT/gKSXqRztwgT4V9hKtZQd/45PhOWeo5+QaSMWAUsg6qxzDg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:02:29.274005Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.00169","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:115779f25963ec2f51759a39eac7e2ff94e3e520f47649b32bbf9f3ece152579","sha256:56eb7dafe86f74d2b43c51fb47d6d84798f2d42ea6e38966a9fee2bf6f3243bb"],"state_sha256":"e3e3671d5244bb8491f284d6776f7b9dbffb1600c02319ebad7dc81f23d8bf1e"}