{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:FL2BQUYAI7BVNHK3OPZOUJQUWQ","short_pith_number":"pith:FL2BQUYA","canonical_record":{"source":{"id":"2406.17926","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-25T20:37:16Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"287c8dff77364a6d61555e234a6e480f71f33edbc8a75a163d084a8a6ae809cc","abstract_canon_sha256":"251ba601f06c9e85243461e14937f0235181779ebcd2ccba88619d4f476aa9c0"},"schema_version":"1.0"},"canonical_sha256":"2af418530047c3569d5b73f2ea2614b43d42556220e23869f99ff2f205f8fe24","source":{"kind":"arxiv","id":"2406.17926","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.17926","created_at":"2026-07-05T08:36:52Z"},{"alias_kind":"arxiv_version","alias_value":"2406.17926v1","created_at":"2026-07-05T08:36:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.17926","created_at":"2026-07-05T08:36:52Z"},{"alias_kind":"pith_short_12","alias_value":"FL2BQUYAI7BV","created_at":"2026-07-05T08:36:52Z"},{"alias_kind":"pith_short_16","alias_value":"FL2BQUYAI7BVNHK3","created_at":"2026-07-05T08:36:52Z"},{"alias_kind":"pith_short_8","alias_value":"FL2BQUYA","created_at":"2026-07-05T08:36:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:FL2BQUYAI7BVNHK3OPZOUJQUWQ","target":"record","payload":{"canonical_record":{"source":{"id":"2406.17926","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-25T20:37:16Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"287c8dff77364a6d61555e234a6e480f71f33edbc8a75a163d084a8a6ae809cc","abstract_canon_sha256":"251ba601f06c9e85243461e14937f0235181779ebcd2ccba88619d4f476aa9c0"},"schema_version":"1.0"},"canonical_sha256":"2af418530047c3569d5b73f2ea2614b43d42556220e23869f99ff2f205f8fe24","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:36:52.588599Z","signature_b64":"VhfOcLfKayvWD+yp1GPv1vSKxMG3Dq1GhdbSPWbvy0YWtD1Q8JUt6Myf52dJ5ApzNkZp+JGLydhiC2N+oO57BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2af418530047c3569d5b73f2ea2614b43d42556220e23869f99ff2f205f8fe24","last_reissued_at":"2026-07-05T08:36:52.588092Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:36:52.588092Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.17926","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:36:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4lMWPFHhs134I9GJukzLBZeWvieZ56AvScKARjzlYFniqHa8+uG0q7AMWjxelkb1Lmw+ePMHmDjrK8eIMj/kDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-22T18:13:05.915614Z"},"content_sha256":"b10d6ac589fd1c7774f6e9f783b229f56e044c83b4426aa709132a8b271ddb87","schema_version":"1.0","event_id":"sha256:b10d6ac589fd1c7774f6e9f783b229f56e044c83b4426aa709132a8b271ddb87"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:FL2BQUYAI7BVNHK3OPZOUJQUWQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FASA: a Flexible and Automatic Speech Aligner for Extracting High-quality Aligned Children Speech Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD","eess.AS"],"primary_cat":"cs.CL","authors_text":"Dancheng Liu, Jinjun Xiong","submitted_at":"2024-06-25T20:37:16Z","abstract_excerpt":"Automatic Speech Recognition (ASR) for adults' speeches has made significant progress by employing deep neural network (DNN) models recently, but improvement in children's speech is still unsatisfactory due to children's speech's distinct characteristics. DNN models pre-trained on adult data often struggle in generalizing children's speeches with fine tuning because of the lack of high-quality aligned children's speeches. When generating datasets, human annotations are not scalable, and existing forced-alignment tools are not usable as they make impractical assumptions about the quality of the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.17926","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2406.17926/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:36:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+Z9SaPP2ti5hSODPv3q2hhUHd/iFf0ceS4FErqZ936kWnI0Df0E2HqZqWY5pa0kVTGvRdo8DIP1QQEnijN6KBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-22T18:13:05.915991Z"},"content_sha256":"92e9dd562e987a9923029c1852354b4364c63a13e1652caf9aea4ade352414cb","schema_version":"1.0","event_id":"sha256:92e9dd562e987a9923029c1852354b4364c63a13e1652caf9aea4ade352414cb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FL2BQUYAI7BVNHK3OPZOUJQUWQ/bundle.json","state_url":"https://pith.science/pith/FL2BQUYAI7BVNHK3OPZOUJQUWQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FL2BQUYAI7BVNHK3OPZOUJQUWQ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-22T18:13:05Z","links":{"resolver":"https://pith.science/pith/FL2BQUYAI7BVNHK3OPZOUJQUWQ","bundle":"https://pith.science/pith/FL2BQUYAI7BVNHK3OPZOUJQUWQ/bundle.json","state":"https://pith.science/pith/FL2BQUYAI7BVNHK3OPZOUJQUWQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FL2BQUYAI7BVNHK3OPZOUJQUWQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FL2BQUYAI7BVNHK3OPZOUJQUWQ","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":"251ba601f06c9e85243461e14937f0235181779ebcd2ccba88619d4f476aa9c0","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-25T20:37:16Z","title_canon_sha256":"287c8dff77364a6d61555e234a6e480f71f33edbc8a75a163d084a8a6ae809cc"},"schema_version":"1.0","source":{"id":"2406.17926","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.17926","created_at":"2026-07-05T08:36:52Z"},{"alias_kind":"arxiv_version","alias_value":"2406.17926v1","created_at":"2026-07-05T08:36:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.17926","created_at":"2026-07-05T08:36:52Z"},{"alias_kind":"pith_short_12","alias_value":"FL2BQUYAI7BV","created_at":"2026-07-05T08:36:52Z"},{"alias_kind":"pith_short_16","alias_value":"FL2BQUYAI7BVNHK3","created_at":"2026-07-05T08:36:52Z"},{"alias_kind":"pith_short_8","alias_value":"FL2BQUYA","created_at":"2026-07-05T08:36:52Z"}],"graph_snapshots":[{"event_id":"sha256:92e9dd562e987a9923029c1852354b4364c63a13e1652caf9aea4ade352414cb","target":"graph","created_at":"2026-07-05T08:36:52Z","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/2406.17926/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automatic Speech Recognition (ASR) for adults' speeches has made significant progress by employing deep neural network (DNN) models recently, but improvement in children's speech is still unsatisfactory due to children's speech's distinct characteristics. DNN models pre-trained on adult data often struggle in generalizing children's speeches with fine tuning because of the lack of high-quality aligned children's speeches. When generating datasets, human annotations are not scalable, and existing forced-alignment tools are not usable as they make impractical assumptions about the quality of the","authors_text":"Dancheng Liu, Jinjun Xiong","cross_cats":["cs.SD","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-25T20:37:16Z","title":"FASA: a Flexible and Automatic Speech Aligner for Extracting High-quality Aligned Children Speech Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.17926","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:b10d6ac589fd1c7774f6e9f783b229f56e044c83b4426aa709132a8b271ddb87","target":"record","created_at":"2026-07-05T08:36:52Z","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":"251ba601f06c9e85243461e14937f0235181779ebcd2ccba88619d4f476aa9c0","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-25T20:37:16Z","title_canon_sha256":"287c8dff77364a6d61555e234a6e480f71f33edbc8a75a163d084a8a6ae809cc"},"schema_version":"1.0","source":{"id":"2406.17926","kind":"arxiv","version":1}},"canonical_sha256":"2af418530047c3569d5b73f2ea2614b43d42556220e23869f99ff2f205f8fe24","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2af418530047c3569d5b73f2ea2614b43d42556220e23869f99ff2f205f8fe24","first_computed_at":"2026-07-05T08:36:52.588092Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:36:52.588092Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VhfOcLfKayvWD+yp1GPv1vSKxMG3Dq1GhdbSPWbvy0YWtD1Q8JUt6Myf52dJ5ApzNkZp+JGLydhiC2N+oO57BA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:36:52.588599Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.17926","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b10d6ac589fd1c7774f6e9f783b229f56e044c83b4426aa709132a8b271ddb87","sha256:92e9dd562e987a9923029c1852354b4364c63a13e1652caf9aea4ade352414cb"],"state_sha256":"e26a451d923c33bec10f37bc10d0230151106d76e1f575ad96baf76c56186daf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mWvxhdjyTJwcg+vWmgKtPxIn9u4ywjr1GRMgZxoNQXVpMhFDd2fpKWNHgdfvgg0r7YfL+aq1WhmLHZtHrwxVCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-22T18:13:05.918257Z","bundle_sha256":"6adaff2a2789221c05e7c43c33cfff663374ba8f8d4f90c95ac9a8909d881d0c"}}