{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:DKGOB72BARNNMXSYM7KWWGCCNP","short_pith_number":"pith:DKGOB72B","canonical_record":{"source":{"id":"2608.11593","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2026-08-12T03:07:07Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"a1ad7adb53fad1a389a7d0fcea42c247cc751e933939346b9f4cf96de896d792","abstract_canon_sha256":"8469dcf52d0ad4825fd6fb716e99d5c644fa57767b6ee21631f05c48c896d519"},"schema_version":"1.0"},"canonical_sha256":"1a8ce0ff41045ad65e5867d56b18426bcbd062cfad9c7fcc79805093179c0370","source":{"kind":"arxiv","id":"2608.11593","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.11593","created_at":"2026-08-13T00:22:16Z"},{"alias_kind":"arxiv_version","alias_value":"2608.11593v1","created_at":"2026-08-13T00:22:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.11593","created_at":"2026-08-13T00:22:16Z"},{"alias_kind":"pith_short_12","alias_value":"DKGOB72BARNN","created_at":"2026-08-13T00:22:16Z"},{"alias_kind":"pith_short_16","alias_value":"DKGOB72BARNNMXSY","created_at":"2026-08-13T00:22:16Z"},{"alias_kind":"pith_short_8","alias_value":"DKGOB72B","created_at":"2026-08-13T00:22:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:DKGOB72BARNNMXSYM7KWWGCCNP","target":"record","payload":{"canonical_record":{"source":{"id":"2608.11593","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2026-08-12T03:07:07Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"a1ad7adb53fad1a389a7d0fcea42c247cc751e933939346b9f4cf96de896d792","abstract_canon_sha256":"8469dcf52d0ad4825fd6fb716e99d5c644fa57767b6ee21631f05c48c896d519"},"schema_version":"1.0"},"canonical_sha256":"1a8ce0ff41045ad65e5867d56b18426bcbd062cfad9c7fcc79805093179c0370","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-13T00:22:16.185872Z","signature_b64":"yGhjao5yZdpKw66aeOpA2YBnDTtd5Il2vI3ltIZQg0PsPGvQ2cR1FWzYr8P2Z0s7gatWGLd+fOTkGftcXtcQAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1a8ce0ff41045ad65e5867d56b18426bcbd062cfad9c7fcc79805093179c0370","last_reissued_at":"2026-08-13T00:22:16.184291Z","signature_status":"signed_v1","first_computed_at":"2026-08-13T00:22:16.184291Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.11593","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":"2026-08-13T00:22:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J6rq3r5kC/zjvy1MnrKj67pb2GWhTA6dvUJzLbNw7VBfOYUTcQxOaQjFQ+Lbq8eDXon7yuWoAfkyIzapehOTAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T13:19:21.567219Z"},"content_sha256":"fd92d97008e440986980cccd65097e4092bce234a9eeeba575db32ba0e1f3401","schema_version":"1.0","event_id":"sha256:fd92d97008e440986980cccd65097e4092bce234a9eeeba575db32ba0e1f3401"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:DKGOB72BARNNMXSYM7KWWGCCNP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Luna-TTS Family Technical Report","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Bing Han, Chenda Li, Chenyang He, Chushu Zhou, Feng Yin, Haiyang Sun, Han Wang, Junjie Zheng, Kechenying Zhou, Leying Zhang, Mengxiao Bi, Mingxin Chen, Peng Jiang, Qiuhua Jiang, Shuai Shi, Tianteng Gu, Wangyou Zhang, Wei Wang, Xun Gong, Yanmin Qian, Yiqiu Wang, Yi Wang","submitted_at":"2026-08-12T03:07:07Z","abstract_excerpt":"Modern text-to-speech (TTS) is dominated by autoregressive (AR) codec language models, whose left-to-right decoding brings latency that grows with utterance length, error accumulation along the committed prefix, and an artificial generation order imposed on the Residual Vector Quantization (RVQ) token grid. We propose Luna-TTS Family, diffusion-language-model-based TTS systems pretrained on 1 million hours of speech across Chinese, English, Japanese, and Korean. The family is built by progressive adaptation of a pretrained AR text LLM, from causal to bidirectional and finally to block-causal a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.11593","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/2608.11593/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":"2026-08-13T00:22:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v+tSf1+ruLd6GzA+QAc5Vwm+5ovmzZlDshX39to3dh7nqkeA4bm7VzPfvEKHtVMCqE8xNKtd9/CPyb9fB7OIDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T13:19:21.568681Z"},"content_sha256":"416babd4ec775d2639c6f9bc4e26a27f09366be86da325e7bac757c06df1ccd5","schema_version":"1.0","event_id":"sha256:416babd4ec775d2639c6f9bc4e26a27f09366be86da325e7bac757c06df1ccd5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DKGOB72BARNNMXSYM7KWWGCCNP/bundle.json","state_url":"https://pith.science/pith/DKGOB72BARNNMXSYM7KWWGCCNP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DKGOB72BARNNMXSYM7KWWGCCNP/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":"2026-08-18T13:19:21Z","links":{"resolver":"https://pith.science/pith/DKGOB72BARNNMXSYM7KWWGCCNP","bundle":"https://pith.science/pith/DKGOB72BARNNMXSYM7KWWGCCNP/bundle.json","state":"https://pith.science/pith/DKGOB72BARNNMXSYM7KWWGCCNP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DKGOB72BARNNMXSYM7KWWGCCNP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DKGOB72BARNNMXSYM7KWWGCCNP","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":"8469dcf52d0ad4825fd6fb716e99d5c644fa57767b6ee21631f05c48c896d519","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2026-08-12T03:07:07Z","title_canon_sha256":"a1ad7adb53fad1a389a7d0fcea42c247cc751e933939346b9f4cf96de896d792"},"schema_version":"1.0","source":{"id":"2608.11593","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.11593","created_at":"2026-08-13T00:22:16Z"},{"alias_kind":"arxiv_version","alias_value":"2608.11593v1","created_at":"2026-08-13T00:22:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.11593","created_at":"2026-08-13T00:22:16Z"},{"alias_kind":"pith_short_12","alias_value":"DKGOB72BARNN","created_at":"2026-08-13T00:22:16Z"},{"alias_kind":"pith_short_16","alias_value":"DKGOB72BARNNMXSY","created_at":"2026-08-13T00:22:16Z"},{"alias_kind":"pith_short_8","alias_value":"DKGOB72B","created_at":"2026-08-13T00:22:16Z"}],"graph_snapshots":[{"event_id":"sha256:416babd4ec775d2639c6f9bc4e26a27f09366be86da325e7bac757c06df1ccd5","target":"graph","created_at":"2026-08-13T00:22:16Z","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/2608.11593/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern text-to-speech (TTS) is dominated by autoregressive (AR) codec language models, whose left-to-right decoding brings latency that grows with utterance length, error accumulation along the committed prefix, and an artificial generation order imposed on the Residual Vector Quantization (RVQ) token grid. We propose Luna-TTS Family, diffusion-language-model-based TTS systems pretrained on 1 million hours of speech across Chinese, English, Japanese, and Korean. The family is built by progressive adaptation of a pretrained AR text LLM, from causal to bidirectional and finally to block-causal a","authors_text":"Bing Han, Chenda Li, Chenyang He, Chushu Zhou, Feng Yin, Haiyang Sun, Han Wang, Junjie Zheng, Kechenying Zhou, Leying Zhang, Mengxiao Bi, Mingxin Chen, Peng Jiang, Qiuhua Jiang, Shuai Shi, Tianteng Gu, Wangyou Zhang, Wei Wang, Xun Gong, Yanmin Qian, Yiqiu Wang, Yi Wang","cross_cats":["eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2026-08-12T03:07:07Z","title":"Luna-TTS Family Technical Report"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.11593","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:fd92d97008e440986980cccd65097e4092bce234a9eeeba575db32ba0e1f3401","target":"record","created_at":"2026-08-13T00:22:16Z","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":"8469dcf52d0ad4825fd6fb716e99d5c644fa57767b6ee21631f05c48c896d519","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2026-08-12T03:07:07Z","title_canon_sha256":"a1ad7adb53fad1a389a7d0fcea42c247cc751e933939346b9f4cf96de896d792"},"schema_version":"1.0","source":{"id":"2608.11593","kind":"arxiv","version":1}},"canonical_sha256":"1a8ce0ff41045ad65e5867d56b18426bcbd062cfad9c7fcc79805093179c0370","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1a8ce0ff41045ad65e5867d56b18426bcbd062cfad9c7fcc79805093179c0370","first_computed_at":"2026-08-13T00:22:16.184291Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-13T00:22:16.184291Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yGhjao5yZdpKw66aeOpA2YBnDTtd5Il2vI3ltIZQg0PsPGvQ2cR1FWzYr8P2Z0s7gatWGLd+fOTkGftcXtcQAg==","signature_status":"signed_v1","signed_at":"2026-08-13T00:22:16.185872Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.11593","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fd92d97008e440986980cccd65097e4092bce234a9eeeba575db32ba0e1f3401","sha256:416babd4ec775d2639c6f9bc4e26a27f09366be86da325e7bac757c06df1ccd5"],"state_sha256":"3f04ef35140029ba537109213becf511602ff1eaf9b5b696092e4879557e8f8e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VZCovhkkR+w+HWqxnggwjOz7+rcITFp0UCJo8W9bbXP474uIM6Rhk+ZG53l2NaCfy4CmKN4WQ+eH5c/+XHbJCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T13:19:21.580919Z","bundle_sha256":"54e7919f5df9dc732c880324847af85af452704efaebe9d0c412254ea9b609c0"}}