{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:N3CYIV4VSRJITUDQUXZYSEB4AY","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":"63ecfb3b72c02a75069a6611781f5a99e8085ccf8583899d95644dd8f54f2035","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-02T03:31:46Z","title_canon_sha256":"7eefa539274104341f46e287d187b6b7e5bc5297bc3053d188718c80876f8421"},"schema_version":"1.0","source":{"id":"2412.01078","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.01078","created_at":"2026-07-05T09:43:38Z"},{"alias_kind":"arxiv_version","alias_value":"2412.01078v2","created_at":"2026-07-05T09:43:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.01078","created_at":"2026-07-05T09:43:38Z"},{"alias_kind":"pith_short_12","alias_value":"N3CYIV4VSRJI","created_at":"2026-07-05T09:43:38Z"},{"alias_kind":"pith_short_16","alias_value":"N3CYIV4VSRJITUDQ","created_at":"2026-07-05T09:43:38Z"},{"alias_kind":"pith_short_8","alias_value":"N3CYIV4V","created_at":"2026-07-05T09:43:38Z"}],"graph_snapshots":[{"event_id":"sha256:3908a547d01370723cb7ee0a87a81b6c2ef358baf58660930baa8056678f1bd2","target":"graph","created_at":"2026-07-05T09:43:38Z","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/2412.01078/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The GPT-4o represents a significant milestone in enabling real-time interaction with large language models (LLMs) through speech, its remarkable low latency and high fluency not only capture attention but also stimulate research interest in the field. This real-time speech interaction is particularly valuable in scenarios requiring rapid feedback and immediate responses, dramatically enhancing user experience. However, there is a notable lack of research focused on real-time large speech language models, particularly for Chinese. In this work, we present KE-Omni, a seamless large speech langua","authors_text":"Bajian Xiang, Qiang Niu, Shuaijiang Zhao, Tingwei Guo, Tongtang Wan, Wei Zou, Xiangang Li","cross_cats":["cs.AI","cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-02T03:31:46Z","title":"Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.01078","kind":"arxiv","version":2},"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":"sha256:56e4c202fec8e4a87e00e3a9f577223f41561cc0be461a875ce66f500f65dc43","target":"record","created_at":"2026-07-05T09:43:38Z","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":"63ecfb3b72c02a75069a6611781f5a99e8085ccf8583899d95644dd8f54f2035","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-02T03:31:46Z","title_canon_sha256":"7eefa539274104341f46e287d187b6b7e5bc5297bc3053d188718c80876f8421"},"schema_version":"1.0","source":{"id":"2412.01078","kind":"arxiv","version":2}},"canonical_sha256":"6ec5845795945289d070a5f389103c062a04147625ec8fdf0cb570d6819ef535","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6ec5845795945289d070a5f389103c062a04147625ec8fdf0cb570d6819ef535","first_computed_at":"2026-07-05T09:43:38.496149Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:43:38.496149Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"X3DqtgkMonSo9A1rdBBAjdIgucE9rXoq5+X18f8lEJMFk4C6aOKqxgMlL5jQ0wz1n5wKAAwWhGxWKLr6+ep3Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:43:38.496601Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.01078","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:56e4c202fec8e4a87e00e3a9f577223f41561cc0be461a875ce66f500f65dc43","sha256:3908a547d01370723cb7ee0a87a81b6c2ef358baf58660930baa8056678f1bd2"],"state_sha256":"09a9c320b81a44cbffd74605ed23299356a516a0c7a19318eabde21c88ac7b8a"}