{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:X2CS77JNZNERNWN4OCQYEDYQPJ","short_pith_number":"pith:X2CS77JN","canonical_record":{"source":{"id":"2410.15620","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2024-10-21T03:48:23Z","cross_cats_sorted":["cs.CL","eess.AS"],"title_canon_sha256":"38d465f20aea6c85ca73c72d22e7f78cac16189520c81697c149bc453710cb0d","abstract_canon_sha256":"ae3989315f7fa96e2614a8b98112d42caa40d9ff8b2c2213c0768c89c6ffeb21"},"schema_version":"1.0"},"canonical_sha256":"be852ffd2dcb4916d9bc70a1820f107a74b197ed06f10a73ea7bd75a035f66e0","source":{"kind":"arxiv","id":"2410.15620","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.15620","created_at":"2026-07-05T09:23:22Z"},{"alias_kind":"arxiv_version","alias_value":"2410.15620v1","created_at":"2026-07-05T09:23:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.15620","created_at":"2026-07-05T09:23:22Z"},{"alias_kind":"pith_short_12","alias_value":"X2CS77JNZNER","created_at":"2026-07-05T09:23:22Z"},{"alias_kind":"pith_short_16","alias_value":"X2CS77JNZNERNWN4","created_at":"2026-07-05T09:23:22Z"},{"alias_kind":"pith_short_8","alias_value":"X2CS77JN","created_at":"2026-07-05T09:23:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:X2CS77JNZNERNWN4OCQYEDYQPJ","target":"record","payload":{"canonical_record":{"source":{"id":"2410.15620","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2024-10-21T03:48:23Z","cross_cats_sorted":["cs.CL","eess.AS"],"title_canon_sha256":"38d465f20aea6c85ca73c72d22e7f78cac16189520c81697c149bc453710cb0d","abstract_canon_sha256":"ae3989315f7fa96e2614a8b98112d42caa40d9ff8b2c2213c0768c89c6ffeb21"},"schema_version":"1.0"},"canonical_sha256":"be852ffd2dcb4916d9bc70a1820f107a74b197ed06f10a73ea7bd75a035f66e0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:23:22.254759Z","signature_b64":"0GBQ/IqiyTfJu8dDyVlxvcdIbXr1X1Le/JB2UhfQIOzlzEXpdSMuUpvN8jHRnLHP6Pqe2DBpl3JdnrD/BtF9BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"be852ffd2dcb4916d9bc70a1820f107a74b197ed06f10a73ea7bd75a035f66e0","last_reissued_at":"2026-07-05T09:23:22.254341Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:23:22.254341Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.15620","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":"2026-07-05T09:23:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pLvBl7xVpRC2s/st8TLRzMsnuKj0VfGyuFiHiQ0hp8FeO8p2FNVLQ3G1b9O/oh3XeV677gJRfHJB0pxGjvIdAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T07:19:52.478969Z"},"content_sha256":"82314a24a2e9f9301b63cf41299ad7fd00c6133dc005b3e60c66b89b12de7b9c","schema_version":"1.0","event_id":"sha256:82314a24a2e9f9301b63cf41299ad7fd00c6133dc005b3e60c66b89b12de7b9c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:X2CS77JNZNERNWN4OCQYEDYQPJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Acoustic Model Optimization over Multiple Data Sources: Merging and Valuation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","eess.AS"],"primary_cat":"cs.SD","authors_text":"Conghui Tan, Di Jiang, Rongzhong Lian, Victor Junqiu Wei, Weicheng Wang","submitted_at":"2024-10-21T03:48:23Z","abstract_excerpt":"Due to the rising awareness of privacy protection and the voluminous scale of speech data, it is becoming infeasible for Automatic Speech Recognition (ASR) system developers to train the acoustic model with complete data as before. For example, the data may be owned by different curators, and it is not allowed to share with others. In this paper, we propose a novel paradigm to solve salient problems plaguing the ASR field. In the first stage, multiple acoustic models are trained based upon different subsets of the complete speech data, while in the second phase, two novel algorithms are utiliz"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.15620","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/2410.15620/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":"2026-07-05T09:23:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1OXQulTDge7ffqWkhMO4+/mzP2vWEIgbuwkDB4tZSfIwv/9bHoBpUVT7IrbLFriBAgIX0A2Cra1CRMbw43JbCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T07:19:52.479473Z"},"content_sha256":"d420c6eb20926ef875c1ec4403b59f5911b6a44c7f363196663c000a5d7f0623","schema_version":"1.0","event_id":"sha256:d420c6eb20926ef875c1ec4403b59f5911b6a44c7f363196663c000a5d7f0623"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/X2CS77JNZNERNWN4OCQYEDYQPJ/bundle.json","state_url":"https://pith.science/pith/X2CS77JNZNERNWN4OCQYEDYQPJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/X2CS77JNZNERNWN4OCQYEDYQPJ/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":"2026-08-06T07:19:52Z","links":{"resolver":"https://pith.science/pith/X2CS77JNZNERNWN4OCQYEDYQPJ","bundle":"https://pith.science/pith/X2CS77JNZNERNWN4OCQYEDYQPJ/bundle.json","state":"https://pith.science/pith/X2CS77JNZNERNWN4OCQYEDYQPJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/X2CS77JNZNERNWN4OCQYEDYQPJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:X2CS77JNZNERNWN4OCQYEDYQPJ","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":"ae3989315f7fa96e2614a8b98112d42caa40d9ff8b2c2213c0768c89c6ffeb21","cross_cats_sorted":["cs.CL","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2024-10-21T03:48:23Z","title_canon_sha256":"38d465f20aea6c85ca73c72d22e7f78cac16189520c81697c149bc453710cb0d"},"schema_version":"1.0","source":{"id":"2410.15620","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.15620","created_at":"2026-07-05T09:23:22Z"},{"alias_kind":"arxiv_version","alias_value":"2410.15620v1","created_at":"2026-07-05T09:23:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.15620","created_at":"2026-07-05T09:23:22Z"},{"alias_kind":"pith_short_12","alias_value":"X2CS77JNZNER","created_at":"2026-07-05T09:23:22Z"},{"alias_kind":"pith_short_16","alias_value":"X2CS77JNZNERNWN4","created_at":"2026-07-05T09:23:22Z"},{"alias_kind":"pith_short_8","alias_value":"X2CS77JN","created_at":"2026-07-05T09:23:22Z"}],"graph_snapshots":[{"event_id":"sha256:d420c6eb20926ef875c1ec4403b59f5911b6a44c7f363196663c000a5d7f0623","target":"graph","created_at":"2026-07-05T09:23:22Z","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/2410.15620/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Due to the rising awareness of privacy protection and the voluminous scale of speech data, it is becoming infeasible for Automatic Speech Recognition (ASR) system developers to train the acoustic model with complete data as before. For example, the data may be owned by different curators, and it is not allowed to share with others. In this paper, we propose a novel paradigm to solve salient problems plaguing the ASR field. In the first stage, multiple acoustic models are trained based upon different subsets of the complete speech data, while in the second phase, two novel algorithms are utiliz","authors_text":"Conghui Tan, Di Jiang, Rongzhong Lian, Victor Junqiu Wei, Weicheng Wang","cross_cats":["cs.CL","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2024-10-21T03:48:23Z","title":"Acoustic Model Optimization over Multiple Data Sources: Merging and Valuation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.15620","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":"sha256:82314a24a2e9f9301b63cf41299ad7fd00c6133dc005b3e60c66b89b12de7b9c","target":"record","created_at":"2026-07-05T09:23:22Z","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":"ae3989315f7fa96e2614a8b98112d42caa40d9ff8b2c2213c0768c89c6ffeb21","cross_cats_sorted":["cs.CL","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2024-10-21T03:48:23Z","title_canon_sha256":"38d465f20aea6c85ca73c72d22e7f78cac16189520c81697c149bc453710cb0d"},"schema_version":"1.0","source":{"id":"2410.15620","kind":"arxiv","version":1}},"canonical_sha256":"be852ffd2dcb4916d9bc70a1820f107a74b197ed06f10a73ea7bd75a035f66e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"be852ffd2dcb4916d9bc70a1820f107a74b197ed06f10a73ea7bd75a035f66e0","first_computed_at":"2026-07-05T09:23:22.254341Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:23:22.254341Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0GBQ/IqiyTfJu8dDyVlxvcdIbXr1X1Le/JB2UhfQIOzlzEXpdSMuUpvN8jHRnLHP6Pqe2DBpl3JdnrD/BtF9BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:23:22.254759Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.15620","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:82314a24a2e9f9301b63cf41299ad7fd00c6133dc005b3e60c66b89b12de7b9c","sha256:d420c6eb20926ef875c1ec4403b59f5911b6a44c7f363196663c000a5d7f0623"],"state_sha256":"ea5aecbb15f82906f697352aa08ebb58074d6cd403bfd191dffe1a43f6bbb232"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R2byxI/n2CA5PLXfgOQVQi603y1Ucr4R1xygGpYzxakaCWnMtGRkWwJeLhzpIiy6n9tfslmkszmzvXC43PClCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T07:19:52.483948Z","bundle_sha256":"3cb491d676afae2d6481774f7b99c133892aa0cbde76672a141d4ff50b8f8f95"}}