{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:VKLBN7SUW5R5N57Q5IRJTHK7GQ","short_pith_number":"pith:VKLBN7SU","canonical_record":{"source":{"id":"2410.16726","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-10-22T06:25:16Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"fd08bc50cc8a4741faa4ce64a22ba82a53a85d13b31e2e87578ae53d6ecf01de","abstract_canon_sha256":"bf8869a7178a0f13bc49369e78a21d42bc420f9733f4eaf91d8ed5d56ac408b4"},"schema_version":"1.0"},"canonical_sha256":"aa9616fe54b763d6f7f0ea22999d5f3415a9a0c3067508a1dd417011e9e3d6a6","source":{"kind":"arxiv","id":"2410.16726","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.16726","created_at":"2026-07-05T09:24:05Z"},{"alias_kind":"arxiv_version","alias_value":"2410.16726v1","created_at":"2026-07-05T09:24:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.16726","created_at":"2026-07-05T09:24:05Z"},{"alias_kind":"pith_short_12","alias_value":"VKLBN7SUW5R5","created_at":"2026-07-05T09:24:05Z"},{"alias_kind":"pith_short_16","alias_value":"VKLBN7SUW5R5N57Q","created_at":"2026-07-05T09:24:05Z"},{"alias_kind":"pith_short_8","alias_value":"VKLBN7SU","created_at":"2026-07-05T09:24:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:VKLBN7SUW5R5N57Q5IRJTHK7GQ","target":"record","payload":{"canonical_record":{"source":{"id":"2410.16726","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-10-22T06:25:16Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"fd08bc50cc8a4741faa4ce64a22ba82a53a85d13b31e2e87578ae53d6ecf01de","abstract_canon_sha256":"bf8869a7178a0f13bc49369e78a21d42bc420f9733f4eaf91d8ed5d56ac408b4"},"schema_version":"1.0"},"canonical_sha256":"aa9616fe54b763d6f7f0ea22999d5f3415a9a0c3067508a1dd417011e9e3d6a6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:24:05.716534Z","signature_b64":"qejt2jjN/ULpuPW1beTObnkDoFt+DuyXIJf+2V7LxkrGlwHA0F2aXr8Kznk8VBgrpWdOnrYDnrOH5vlob+qGCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aa9616fe54b763d6f7f0ea22999d5f3415a9a0c3067508a1dd417011e9e3d6a6","last_reissued_at":"2026-07-05T09:24:05.716092Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:24:05.716092Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.16726","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":"2026-07-05T09:24:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"62MwzPKwXDIX6+x0CFJKVYiwebXhZ+S+MLKFrLAe/WrRSk8Ac2neyNOcsffSdQUclgMKRpNt/z7vRo6A36m3DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T08:56:50.621083Z"},"content_sha256":"2b4c847480b97ff86f1f85f22d77a19a1a1b5f084bafdbd3c81aa5d638497c6a","schema_version":"1.0","event_id":"sha256:2b4c847480b97ff86f1f85f22d77a19a1a1b5f084bafdbd3c81aa5d638497c6a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:VKLBN7SUW5R5N57Q5IRJTHK7GQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing Low-Resource ASR through Versatile TTS: Bridging the Data Gap","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"eess.AS","authors_text":"Fan Yu, Guanrou Yang, Shiliang Zhang, Xie Chen, Zhifu Gao, Zhihao Du, Ziyang Ma","submitted_at":"2024-10-22T06:25:16Z","abstract_excerpt":"While automatic speech recognition (ASR) systems have achieved remarkable performance with large-scale datasets, their efficacy remains inadequate in low-resource settings, encompassing dialects, accents, minority languages, and long-tail hotwords, domains with significant practical relevance. With the advent of versatile and powerful text-to-speech (TTS) models, capable of generating speech with human-level naturalness, expressiveness, and diverse speaker profiles, leveraging TTS for ASR data augmentation provides a cost-effective and practical approach to enhancing ASR performance. Comprehen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.16726","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/2410.16726/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":"2026-07-05T09:24:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Onecleh9ziJ0uRujyl7VdlvByIM1gf6bapfexCUgYWGNOcFPBPbQ4e11BaEha4PF6S059ZeAS3s0M8ZTH3ZjBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T08:56:50.621866Z"},"content_sha256":"3002c417b40401cc589b8b4957a67ae986678a18309a194cbeecbf529d5c183d","schema_version":"1.0","event_id":"sha256:3002c417b40401cc589b8b4957a67ae986678a18309a194cbeecbf529d5c183d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VKLBN7SUW5R5N57Q5IRJTHK7GQ/bundle.json","state_url":"https://pith.science/pith/VKLBN7SUW5R5N57Q5IRJTHK7GQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VKLBN7SUW5R5N57Q5IRJTHK7GQ/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":"2026-08-23T08:56:50Z","links":{"resolver":"https://pith.science/pith/VKLBN7SUW5R5N57Q5IRJTHK7GQ","bundle":"https://pith.science/pith/VKLBN7SUW5R5N57Q5IRJTHK7GQ/bundle.json","state":"https://pith.science/pith/VKLBN7SUW5R5N57Q5IRJTHK7GQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VKLBN7SUW5R5N57Q5IRJTHK7GQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VKLBN7SUW5R5N57Q5IRJTHK7GQ","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":"bf8869a7178a0f13bc49369e78a21d42bc420f9733f4eaf91d8ed5d56ac408b4","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-10-22T06:25:16Z","title_canon_sha256":"fd08bc50cc8a4741faa4ce64a22ba82a53a85d13b31e2e87578ae53d6ecf01de"},"schema_version":"1.0","source":{"id":"2410.16726","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.16726","created_at":"2026-07-05T09:24:05Z"},{"alias_kind":"arxiv_version","alias_value":"2410.16726v1","created_at":"2026-07-05T09:24:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.16726","created_at":"2026-07-05T09:24:05Z"},{"alias_kind":"pith_short_12","alias_value":"VKLBN7SUW5R5","created_at":"2026-07-05T09:24:05Z"},{"alias_kind":"pith_short_16","alias_value":"VKLBN7SUW5R5N57Q","created_at":"2026-07-05T09:24:05Z"},{"alias_kind":"pith_short_8","alias_value":"VKLBN7SU","created_at":"2026-07-05T09:24:05Z"}],"graph_snapshots":[{"event_id":"sha256:3002c417b40401cc589b8b4957a67ae986678a18309a194cbeecbf529d5c183d","target":"graph","created_at":"2026-07-05T09:24:05Z","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/2410.16726/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While automatic speech recognition (ASR) systems have achieved remarkable performance with large-scale datasets, their efficacy remains inadequate in low-resource settings, encompassing dialects, accents, minority languages, and long-tail hotwords, domains with significant practical relevance. With the advent of versatile and powerful text-to-speech (TTS) models, capable of generating speech with human-level naturalness, expressiveness, and diverse speaker profiles, leveraging TTS for ASR data augmentation provides a cost-effective and practical approach to enhancing ASR performance. Comprehen","authors_text":"Fan Yu, Guanrou Yang, Shiliang Zhang, Xie Chen, Zhifu Gao, Zhihao Du, Ziyang Ma","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-10-22T06:25:16Z","title":"Enhancing Low-Resource ASR through Versatile TTS: Bridging the Data Gap"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.16726","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":"sha256:2b4c847480b97ff86f1f85f22d77a19a1a1b5f084bafdbd3c81aa5d638497c6a","target":"record","created_at":"2026-07-05T09:24:05Z","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":"bf8869a7178a0f13bc49369e78a21d42bc420f9733f4eaf91d8ed5d56ac408b4","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-10-22T06:25:16Z","title_canon_sha256":"fd08bc50cc8a4741faa4ce64a22ba82a53a85d13b31e2e87578ae53d6ecf01de"},"schema_version":"1.0","source":{"id":"2410.16726","kind":"arxiv","version":1}},"canonical_sha256":"aa9616fe54b763d6f7f0ea22999d5f3415a9a0c3067508a1dd417011e9e3d6a6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aa9616fe54b763d6f7f0ea22999d5f3415a9a0c3067508a1dd417011e9e3d6a6","first_computed_at":"2026-07-05T09:24:05.716092Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:24:05.716092Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qejt2jjN/ULpuPW1beTObnkDoFt+DuyXIJf+2V7LxkrGlwHA0F2aXr8Kznk8VBgrpWdOnrYDnrOH5vlob+qGCg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:24:05.716534Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.16726","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b4c847480b97ff86f1f85f22d77a19a1a1b5f084bafdbd3c81aa5d638497c6a","sha256:3002c417b40401cc589b8b4957a67ae986678a18309a194cbeecbf529d5c183d"],"state_sha256":"3ec2d65bb5844bdc001976c154ceb4e1d317edc4103a34cd4f863b5bbc13f1fd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/5BflP2meYPBAwIhDk0qM9cnjdJY4LwjnOYFbq04+aNZWw9UqSFggo+A2sBEKgcrf+qlzd1AxqKJGoKbwbcrBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T08:56:50.627435Z","bundle_sha256":"75a59bfae26f1cd698ee65956091542c416a183c78395f6dd7d0c488c40f7a03"}}