{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:JZ7JARDE52TSAXIK3HZ2NPEEOB","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":"421234b84d536eb2270e2f34e44f42ca7f4337ad2dd5fa24ffcee6b3b8579a5a","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-19T05:39:41Z","title_canon_sha256":"8af8b5495643ddadd283a31ed546b8e67bf5261859714e1c792c65a03a60269f"},"schema_version":"1.0","source":{"id":"2305.11438","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.11438","created_at":"2026-07-05T06:11:46Z"},{"alias_kind":"arxiv_version","alias_value":"2305.11438v1","created_at":"2026-07-05T06:11:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.11438","created_at":"2026-07-05T06:11:46Z"},{"alias_kind":"pith_short_12","alias_value":"JZ7JARDE52TS","created_at":"2026-07-05T06:11:46Z"},{"alias_kind":"pith_short_16","alias_value":"JZ7JARDE52TSAXIK","created_at":"2026-07-05T06:11:46Z"},{"alias_kind":"pith_short_8","alias_value":"JZ7JARDE","created_at":"2026-07-05T06:11:46Z"}],"graph_snapshots":[{"event_id":"sha256:7610458184bdecde12dcc4674e0d9c6a0907bee8ec2f9ee90dab2241d3e4eae5","target":"graph","created_at":"2026-07-05T06:11:46Z","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/2305.11438/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Speech fluency/disfluency can be evaluated by analyzing a range of phonetic and prosodic features. Deep neural networks are commonly trained to map fluency-related features into the human scores. However, the effectiveness of deep learning-based models is constrained by the limited amount of labeled training samples. To address this, we introduce a self-supervised learning (SSL) approach that takes into account phonetic and prosody awareness for fluency scoring. Specifically, we first pre-train the model using a reconstruction loss function, by masking phones and their durations jointly on a l","authors_text":"Kaiqi Fu, Shaojun Gao, Shuju Shi, Wei Li, Xiaohai Tian, Zejun Ma","cross_cats":["eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-19T05:39:41Z","title":"Phonetic and Prosody-aware Self-supervised Learning Approach for Non-native Fluency Scoring"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.11438","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":"sha256:6a9230dd4936d2bdebc08fbbe953eafce70bdd80b5d06a4338119c67644fcc7b","target":"record","created_at":"2026-07-05T06:11:46Z","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":"421234b84d536eb2270e2f34e44f42ca7f4337ad2dd5fa24ffcee6b3b8579a5a","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-19T05:39:41Z","title_canon_sha256":"8af8b5495643ddadd283a31ed546b8e67bf5261859714e1c792c65a03a60269f"},"schema_version":"1.0","source":{"id":"2305.11438","kind":"arxiv","version":1}},"canonical_sha256":"4e7e904464eea7205d0ad9f3a6bc84704fdd2d7e724326605c5b0c6815714b37","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4e7e904464eea7205d0ad9f3a6bc84704fdd2d7e724326605c5b0c6815714b37","first_computed_at":"2026-07-05T06:11:46.953162Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:11:46.953162Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KHjolepyM98+3uyCufrS4adBqacb1lg2rdJiqZ/PVjiR/BzCdchZfh3y/pJfT4xs0pa0ETfvOuJ8bw+GfyPsAw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:11:46.953518Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.11438","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6a9230dd4936d2bdebc08fbbe953eafce70bdd80b5d06a4338119c67644fcc7b","sha256:7610458184bdecde12dcc4674e0d9c6a0907bee8ec2f9ee90dab2241d3e4eae5"],"state_sha256":"9cfdb3360ddd91e6ad64ef8f8403bc19ae5fe67c0ecb5376d7865157d6abb019"}