{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:DFITJTZIJPFK6IKDBXLGQZ5KCF","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":"2467608f8d4aa3aa5c399d96ee810df1e28f0df076f3130df3acc44711ca9f23","cross_cats_sorted":["cs.CL","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-05-18T14:45:09Z","title_canon_sha256":"25c27dbcc55cb9ed07bf6d52ff9c585d155f4cede47c575066f21bfa2c172867"},"schema_version":"1.0","source":{"id":"2305.11013","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.11013","created_at":"2026-07-05T06:11:29Z"},{"alias_kind":"arxiv_version","alias_value":"2305.11013v1","created_at":"2026-07-05T06:11:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.11013","created_at":"2026-07-05T06:11:29Z"},{"alias_kind":"pith_short_12","alias_value":"DFITJTZIJPFK","created_at":"2026-07-05T06:11:29Z"},{"alias_kind":"pith_short_16","alias_value":"DFITJTZIJPFK6IKD","created_at":"2026-07-05T06:11:29Z"},{"alias_kind":"pith_short_8","alias_value":"DFITJTZI","created_at":"2026-07-05T06:11:29Z"}],"graph_snapshots":[{"event_id":"sha256:4943a713f9f5dad92faf7c135fc266f04158d0010d97658a59264cc4fe8030db","target":"graph","created_at":"2026-07-05T06:11:29Z","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/2305.11013/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper introduces FunASR, an open-source speech recognition toolkit designed to bridge the gap between academic research and industrial applications. FunASR offers models trained on large-scale industrial corpora and the ability to deploy them in applications. The toolkit's flagship model, Paraformer, is a non-autoregressive end-to-end speech recognition model that has been trained on a manually annotated Mandarin speech recognition dataset that contains 60,000 hours of speech. To improve the performance of Paraformer, we have added timestamp prediction and hotword customization capabiliti","authors_text":"Haoneng Luo, Jiaming Wang, Lingyun Zuo, Mengzhe Chen, Shiliang Zhang, Xian Shi, Yabin Li, Zerui Li, Zhangyu Xiao, Zhifu Gao, Zhihao Du","cross_cats":["cs.CL","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-05-18T14:45:09Z","title":"FunASR: A Fundamental End-to-End Speech Recognition Toolkit"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.11013","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":"sha256:7d60afc6e7305ced5e1c83a34dea006b33bf9d34a067ff371aafdf1a91bef828","target":"record","created_at":"2026-07-05T06:11:29Z","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":"2467608f8d4aa3aa5c399d96ee810df1e28f0df076f3130df3acc44711ca9f23","cross_cats_sorted":["cs.CL","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-05-18T14:45:09Z","title_canon_sha256":"25c27dbcc55cb9ed07bf6d52ff9c585d155f4cede47c575066f21bfa2c172867"},"schema_version":"1.0","source":{"id":"2305.11013","kind":"arxiv","version":1}},"canonical_sha256":"195134cf284bcaaf21430dd66867aa117f173a886ddfd32a4791a665cd065824","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"195134cf284bcaaf21430dd66867aa117f173a886ddfd32a4791a665cd065824","first_computed_at":"2026-07-05T06:11:29.354592Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:11:29.354592Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p06W2vCUNXTIgjykpEz6oi3z6ahKfbaqfT+duldXtIwe83Wth6yFZnxlvuqOLaCp6jGwsPxjQMauD36AgtegBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:11:29.355060Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.11013","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7d60afc6e7305ced5e1c83a34dea006b33bf9d34a067ff371aafdf1a91bef828","sha256:4943a713f9f5dad92faf7c135fc266f04158d0010d97658a59264cc4fe8030db"],"state_sha256":"994adba36191f9aea3b14bcaa802037711b08dee53f7b3dcc40de4bcfb5b7075"}