{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OSSHFIXHYY4453UUSSFIJYKHBL","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":"d5e8ef1e5fb840cea365319e2f293724400ab17cbd8c29f854c882615e927147","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-05-06T07:15:04Z","title_canon_sha256":"0d112bc0874343fe97721c577b2097bd4f51482122eb837476957ee88ba40bdb"},"schema_version":"1.0","source":{"id":"2505.03244","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.03244","created_at":"2026-07-05T11:02:24Z"},{"alias_kind":"arxiv_version","alias_value":"2505.03244v2","created_at":"2026-07-05T11:02:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.03244","created_at":"2026-07-05T11:02:24Z"},{"alias_kind":"pith_short_12","alias_value":"OSSHFIXHYY44","created_at":"2026-07-05T11:02:24Z"},{"alias_kind":"pith_short_16","alias_value":"OSSHFIXHYY4453UU","created_at":"2026-07-05T11:02:24Z"},{"alias_kind":"pith_short_8","alias_value":"OSSHFIXH","created_at":"2026-07-05T11:02:24Z"}],"graph_snapshots":[{"event_id":"sha256:51692f7e157182ef06ce4714dcf202fc5c537e4ea626d50bbcc40f417b24c318","target":"graph","created_at":"2026-07-05T11:02:24Z","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/2505.03244/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have demonstrated remarkable capabilities in natural language processing (NLP) and multimodal learning, with successful applications in text generation and speech synthesis, enabling a deeper understanding and generation of multimodal content. In the field of sound effects (SFX) generation, LLMs have been leveraged to orchestrate multiple models for audio synthesis. However, due to the scarcity of annotated datasets, and the complexity of temproal modeling. current SFX generation techniques still fall short in achieving high-fidelity audio. To address these limitat","authors_text":"Wen-Kai Tai, Yu-Ren Guo","cross_cats":["eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.03244","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:e7878dece41de2087bfec074203b71af9abb0f637beafb21481a3d5b3ce328fa","target":"record","created_at":"2026-07-05T11:02:24Z","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":"d5e8ef1e5fb840cea365319e2f293724400ab17cbd8c29f854c882615e927147","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-05-06T07:15:04Z","title_canon_sha256":"0d112bc0874343fe97721c577b2097bd4f51482122eb837476957ee88ba40bdb"},"schema_version":"1.0","source":{"id":"2505.03244","kind":"arxiv","version":2}},"canonical_sha256":"74a472a2e7c639ceee94948a84e1470addd860620df2a9ca48595b0b15b886df","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"74a472a2e7c639ceee94948a84e1470addd860620df2a9ca48595b0b15b886df","first_computed_at":"2026-07-05T11:02:24.331693Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:02:24.331693Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/o1UZYQztwI1U1vRvfNuz17J5QGE9fdDAjbw/3iNFeHYGhHcf6D53ZplAbIljTOXmYeS78eG0WGojshMYZAZBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:02:24.332155Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.03244","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e7878dece41de2087bfec074203b71af9abb0f637beafb21481a3d5b3ce328fa","sha256:51692f7e157182ef06ce4714dcf202fc5c537e4ea626d50bbcc40f417b24c318"],"state_sha256":"bacae307930b621da5e3af0b9cd4388b9cab2aebd9cd52fd041e59cabed72a43"}