{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:HHDFQRUVRWXJVTOOOMVSNXDF7A","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":"29492f921cd5429cc51e9d491638af84876bf708f94be752aea0170de289fd02","cross_cats_sorted":["cs.HC","cs.LG","cs.SD"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.AS","submitted_at":"2022-12-08T05:49:15Z","title_canon_sha256":"7bfa5e561e5d0d9989b7a25cdb376229d078819f52b1aab134ad19915c9b93e5"},"schema_version":"1.0","source":{"id":"2212.04930","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.04930","created_at":"2026-06-10T01:09:09Z"},{"alias_kind":"arxiv_version","alias_value":"2212.04930v1","created_at":"2026-06-10T01:09:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.04930","created_at":"2026-06-10T01:09:09Z"},{"alias_kind":"pith_short_12","alias_value":"HHDFQRUVRWXJ","created_at":"2026-06-10T01:09:09Z"},{"alias_kind":"pith_short_16","alias_value":"HHDFQRUVRWXJVTOO","created_at":"2026-06-10T01:09:09Z"},{"alias_kind":"pith_short_8","alias_value":"HHDFQRUV","created_at":"2026-06-10T01:09:09Z"}],"graph_snapshots":[{"event_id":"sha256:0ae6b09c461478f10ceef0e4c69138847f7e3c373312b9e1fe32bd2691f7998d","target":"graph","created_at":"2026-06-10T01:09:09Z","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/2212.04930/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"When beginners learn to speak a non-native language, it is difficult for them to judge for themselves whether they are speaking well. Therefore, computer-assisted pronunciation training systems are used to detect learner mispronunciations. These systems typically compare the user's speech with that of a specific native speaker as a model in units of rhythm, phonemes, or words and calculate the differences. However, they require extensive speech data with detailed annotations or can only compare with one specific native speaker. To overcome these problems, we propose a new language learning sup","authors_text":"Jun Rekimoto, Kazuki Kawamura","cross_cats":["cs.HC","cs.LG","cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.AS","submitted_at":"2022-12-08T05:49:15Z","title":"DDSupport: Language Learning Support System that Displays Differences and Distances from Model Speech"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.04930","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":"sha256:22aab9f1c4f548b495299d968cd1e75603465cc204c99d5d2509f031fb03c436","target":"record","created_at":"2026-06-10T01:09:09Z","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":"29492f921cd5429cc51e9d491638af84876bf708f94be752aea0170de289fd02","cross_cats_sorted":["cs.HC","cs.LG","cs.SD"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.AS","submitted_at":"2022-12-08T05:49:15Z","title_canon_sha256":"7bfa5e561e5d0d9989b7a25cdb376229d078819f52b1aab134ad19915c9b93e5"},"schema_version":"1.0","source":{"id":"2212.04930","kind":"arxiv","version":1}},"canonical_sha256":"39c65846958dae9acdce732b26dc65f808d6a15120215eb676395661e47b4ac0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"39c65846958dae9acdce732b26dc65f808d6a15120215eb676395661e47b4ac0","first_computed_at":"2026-06-10T01:09:09.911693Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-10T01:09:09.911693Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6/0EMv57+Kw+3RYasN4PbndY2s9tM8QNhJ+PPrXFN+6pBH+hOKigBdmAr0qwiDe69HWZ54vW+N/LlJcCsHaBAA==","signature_status":"signed_v1","signed_at":"2026-06-10T01:09:09.912650Z","signed_message":"canonical_sha256_bytes"},"source_id":"2212.04930","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:22aab9f1c4f548b495299d968cd1e75603465cc204c99d5d2509f031fb03c436","sha256:0ae6b09c461478f10ceef0e4c69138847f7e3c373312b9e1fe32bd2691f7998d"],"state_sha256":"b621d637c0f07f74d5e7b1cee7d1ad90e775c4353a3a75dea8c0e4cf2227491b"}