{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:SR7NBRRYFOCICPGF4XWEKFG6KU","short_pith_number":"pith:SR7NBRRY","canonical_record":{"source":{"id":"2607.09530","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-10T15:36:30Z","cross_cats_sorted":[],"title_canon_sha256":"58c570ce9172d47386b0c18560c5f9ddc7fe33ba1b88970d6c8fea0766ac7f86","abstract_canon_sha256":"6e951170cb104b0ba0e12803199a9bd4853089488c3e3804b6b88e09ad2189f1"},"schema_version":"1.0"},"canonical_sha256":"947ed0c6382b84813cc5e5ec4514de5535cb6028b4697b8cd3b684541d593316","source":{"kind":"arxiv","id":"2607.09530","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.09530","created_at":"2026-07-13T01:20:16Z"},{"alias_kind":"arxiv_version","alias_value":"2607.09530v1","created_at":"2026-07-13T01:20:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.09530","created_at":"2026-07-13T01:20:16Z"},{"alias_kind":"pith_short_12","alias_value":"SR7NBRRYFOCI","created_at":"2026-07-13T01:20:16Z"},{"alias_kind":"pith_short_16","alias_value":"SR7NBRRYFOCICPGF","created_at":"2026-07-13T01:20:16Z"},{"alias_kind":"pith_short_8","alias_value":"SR7NBRRY","created_at":"2026-07-13T01:20:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:SR7NBRRYFOCICPGF4XWEKFG6KU","target":"record","payload":{"canonical_record":{"source":{"id":"2607.09530","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-10T15:36:30Z","cross_cats_sorted":[],"title_canon_sha256":"58c570ce9172d47386b0c18560c5f9ddc7fe33ba1b88970d6c8fea0766ac7f86","abstract_canon_sha256":"6e951170cb104b0ba0e12803199a9bd4853089488c3e3804b6b88e09ad2189f1"},"schema_version":"1.0"},"canonical_sha256":"947ed0c6382b84813cc5e5ec4514de5535cb6028b4697b8cd3b684541d593316","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-13T01:20:16.645006Z","signature_b64":"mOGAaSx+sprXLxPZgwANxvndPaRj7Yp8CXBewV86KjRq80zoWIodD0vrNilsrJqNXJML/ABN0HC0lyktGUglAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"947ed0c6382b84813cc5e5ec4514de5535cb6028b4697b8cd3b684541d593316","last_reissued_at":"2026-07-13T01:20:16.643931Z","signature_status":"signed_v1","first_computed_at":"2026-07-13T01:20:16.643931Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.09530","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":"2026-07-13T01:20:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"io33R+Sqms91B4E2xT6FG5BBYxIRWBJUhbGdhkJu9+0XEosN1cWa1A4gjGZZTBCWIXeVWeBemScqIKUI2RckDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T05:18:35.630419Z"},"content_sha256":"04380936228c053586cbb660cd7fd4556d62dbe6a38bf4464feb8798cc1bbb63","schema_version":"1.0","event_id":"sha256:04380936228c053586cbb660cd7fd4556d62dbe6a38bf4464feb8798cc1bbb63"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:SR7NBRRYFOCICPGF4XWEKFG6KU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FreyaTTS Technical Report","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ahmet Erdem Pamuk, Ahmet Tunga Bayrak, Mustafa Yavuz, \\\"Omer Yent\\\"ur, Yavuz Alp Sencer \\\"Ozt\\\"urk","submitted_at":"2026-07-10T15:36:30Z","abstract_excerpt":"We introduce Freya-TTS, a compact, tokenizer-free, Turkish-first text-to-speech model designed for highly reliable and efficient conversational synthesis. Freya-TTS is a 183.2M-parameter non-autoregressive conditional flow-matching Diffusion Transformer (DiT) that operates in the frozen continuous latent space of AudioVAE2 (16 kHz encode, 48 kHz decode), allowing the model to focus its capacity on text-to-latent mapping while inheriting high-quality 48 kHz reconstruction. We advance the framework along three key dimensions: (1) rule-free end-to-end modeling from a 92-symbol Turkish character v"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.09530","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/2607.09530/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":"2026-07-13T01:20:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nXz6tGeoD/XunNz06zpu/ozejC5ofaTmTy0xRrSu94XBhcX2LOVV3gPI2BmoqUa0wi2QMZv4oG8o8dWMHmM9Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T05:18:35.630952Z"},"content_sha256":"2830dd1070a9456e9c5aeec4f2d4e897272ecc76bb65290bb8fba182af55da28","schema_version":"1.0","event_id":"sha256:2830dd1070a9456e9c5aeec4f2d4e897272ecc76bb65290bb8fba182af55da28"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SR7NBRRYFOCICPGF4XWEKFG6KU/bundle.json","state_url":"https://pith.science/pith/SR7NBRRYFOCICPGF4XWEKFG6KU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SR7NBRRYFOCICPGF4XWEKFG6KU/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":"2026-08-04T05:18:35Z","links":{"resolver":"https://pith.science/pith/SR7NBRRYFOCICPGF4XWEKFG6KU","bundle":"https://pith.science/pith/SR7NBRRYFOCICPGF4XWEKFG6KU/bundle.json","state":"https://pith.science/pith/SR7NBRRYFOCICPGF4XWEKFG6KU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SR7NBRRYFOCICPGF4XWEKFG6KU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SR7NBRRYFOCICPGF4XWEKFG6KU","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":"6e951170cb104b0ba0e12803199a9bd4853089488c3e3804b6b88e09ad2189f1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-10T15:36:30Z","title_canon_sha256":"58c570ce9172d47386b0c18560c5f9ddc7fe33ba1b88970d6c8fea0766ac7f86"},"schema_version":"1.0","source":{"id":"2607.09530","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.09530","created_at":"2026-07-13T01:20:16Z"},{"alias_kind":"arxiv_version","alias_value":"2607.09530v1","created_at":"2026-07-13T01:20:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.09530","created_at":"2026-07-13T01:20:16Z"},{"alias_kind":"pith_short_12","alias_value":"SR7NBRRYFOCI","created_at":"2026-07-13T01:20:16Z"},{"alias_kind":"pith_short_16","alias_value":"SR7NBRRYFOCICPGF","created_at":"2026-07-13T01:20:16Z"},{"alias_kind":"pith_short_8","alias_value":"SR7NBRRY","created_at":"2026-07-13T01:20:16Z"}],"graph_snapshots":[{"event_id":"sha256:2830dd1070a9456e9c5aeec4f2d4e897272ecc76bb65290bb8fba182af55da28","target":"graph","created_at":"2026-07-13T01:20:16Z","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/2607.09530/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce Freya-TTS, a compact, tokenizer-free, Turkish-first text-to-speech model designed for highly reliable and efficient conversational synthesis. Freya-TTS is a 183.2M-parameter non-autoregressive conditional flow-matching Diffusion Transformer (DiT) that operates in the frozen continuous latent space of AudioVAE2 (16 kHz encode, 48 kHz decode), allowing the model to focus its capacity on text-to-latent mapping while inheriting high-quality 48 kHz reconstruction. We advance the framework along three key dimensions: (1) rule-free end-to-end modeling from a 92-symbol Turkish character v","authors_text":"Ahmet Erdem Pamuk, Ahmet Tunga Bayrak, Mustafa Yavuz, \\\"Omer Yent\\\"ur, Yavuz Alp Sencer \\\"Ozt\\\"urk","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-10T15:36:30Z","title":"FreyaTTS Technical Report"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.09530","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":"sha256:04380936228c053586cbb660cd7fd4556d62dbe6a38bf4464feb8798cc1bbb63","target":"record","created_at":"2026-07-13T01:20:16Z","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":"6e951170cb104b0ba0e12803199a9bd4853089488c3e3804b6b88e09ad2189f1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-10T15:36:30Z","title_canon_sha256":"58c570ce9172d47386b0c18560c5f9ddc7fe33ba1b88970d6c8fea0766ac7f86"},"schema_version":"1.0","source":{"id":"2607.09530","kind":"arxiv","version":1}},"canonical_sha256":"947ed0c6382b84813cc5e5ec4514de5535cb6028b4697b8cd3b684541d593316","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"947ed0c6382b84813cc5e5ec4514de5535cb6028b4697b8cd3b684541d593316","first_computed_at":"2026-07-13T01:20:16.643931Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-13T01:20:16.643931Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mOGAaSx+sprXLxPZgwANxvndPaRj7Yp8CXBewV86KjRq80zoWIodD0vrNilsrJqNXJML/ABN0HC0lyktGUglAw==","signature_status":"signed_v1","signed_at":"2026-07-13T01:20:16.645006Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.09530","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:04380936228c053586cbb660cd7fd4556d62dbe6a38bf4464feb8798cc1bbb63","sha256:2830dd1070a9456e9c5aeec4f2d4e897272ecc76bb65290bb8fba182af55da28"],"state_sha256":"9b7bcf603ac9f22d2e802c3b9f590ce4d54598a529821141c8582832061daf2e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bx/e40/ZcHUpFjnCQdMghdihToPsfaFhiQL7XfHscCLEEpPAdacYUICwaLM7rqkD9MWicrKRNlP24KzIy6GBDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T05:18:35.635684Z","bundle_sha256":"24fc8e902716ab91b8abd2cc42b985b8d080d362dc69e90ddfbb5ba10e186642"}}