{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:KRCWAPWSKE7NK2AQFWL23KXUJJ","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":"768c8513459353b26c631360d7eab84a528aa4c774bb1245a918eab52300d92b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-18T17:36:02Z","title_canon_sha256":"3493dddee8cfc631408bc24eb3ca5bcc6572a479ec73ca749f6076a4da11a6fe"},"schema_version":"1.0","source":{"id":"2606.20518","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.20518","created_at":"2026-06-19T16:13:14Z"},{"alias_kind":"arxiv_version","alias_value":"2606.20518v1","created_at":"2026-06-19T16:13:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.20518","created_at":"2026-06-19T16:13:14Z"},{"alias_kind":"pith_short_12","alias_value":"KRCWAPWSKE7N","created_at":"2026-06-19T16:13:14Z"},{"alias_kind":"pith_short_16","alias_value":"KRCWAPWSKE7NK2AQ","created_at":"2026-06-19T16:13:14Z"},{"alias_kind":"pith_short_8","alias_value":"KRCWAPWS","created_at":"2026-06-19T16:13:14Z"}],"graph_snapshots":[{"event_id":"sha256:e203e5ac114949f05a1a7feda37ff1b364faf3c5d926c01f9cf9d27b2bb5b17b","target":"graph","created_at":"2026-06-19T16:13:14Z","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/2606.20518/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Flow-matching text-to-speech systems achieve remarkable zero-shot quality but remain static after deployment: pronunciation errors on out-of-vocabulary proper nouns persist unless the model is retrained. We introduce FlowEdit, a life-long adaptation framework for frozen flow-matching TTS that learns pronunciation corrections as latent conditioning edits rather than weight updates. When corrective feedback is provided, FlowEdit optimizes a token-level perturbation in the text embedding space, then stores the correction in a Modern Hopfield Network serving as content-addressable episodic memory.","authors_text":"Ayush Pratap Singh, Harshit Singh, Nityanand Mathur","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-18T17:36:02Z","title":"FlowEdit: Associative Memory for Lifelong Pronunciation Adaptation in Flow-Matching TTS"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.20518","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":"sha256:38c1b8cdab7b07922f8981c86655ec18136f6f5076f25a77bc921019bbb2977e","target":"record","created_at":"2026-06-19T16:13:14Z","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":"768c8513459353b26c631360d7eab84a528aa4c774bb1245a918eab52300d92b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-18T17:36:02Z","title_canon_sha256":"3493dddee8cfc631408bc24eb3ca5bcc6572a479ec73ca749f6076a4da11a6fe"},"schema_version":"1.0","source":{"id":"2606.20518","kind":"arxiv","version":1}},"canonical_sha256":"5445603ed2513ed568102d97adaaf44a706c855efbf3dec848e0bb08a9019fa9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5445603ed2513ed568102d97adaaf44a706c855efbf3dec848e0bb08a9019fa9","first_computed_at":"2026-06-19T16:13:14.305525Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:13:14.305525Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/RDR/rWDjS6hpwSLpwYgBivM+zcQ42XwODNFKFlyMkrdxLNfTT0ayAdfn2oJS/HJnODy7M36c+VF8w6qfP1HCA==","signature_status":"signed_v1","signed_at":"2026-06-19T16:13:14.305876Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.20518","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:38c1b8cdab7b07922f8981c86655ec18136f6f5076f25a77bc921019bbb2977e","sha256:e203e5ac114949f05a1a7feda37ff1b364faf3c5d926c01f9cf9d27b2bb5b17b"],"state_sha256":"9f55fc22065952a14cc9cec7ba7d264e31e2d3f48923f0142e5ff1933f5036c9"}