{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NS22VSJYQE7KKYKLR3VQTG7UU7","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":"6827cc0538f3e14f8b1968696954f7bab61e1df0d0cf0ec8af7d8186a617c1e8","cross_cats_sorted":["cs.AI","eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SD","submitted_at":"2024-06-18T05:54:11Z","title_canon_sha256":"c370e34f99df9b4c2bc2e17dce96cd64944f410c94b9e9146311dc0512d06f23"},"schema_version":"1.0","source":{"id":"2406.12292","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.12292","created_at":"2026-07-05T08:33:43Z"},{"alias_kind":"arxiv_version","alias_value":"2406.12292v1","created_at":"2026-07-05T08:33:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.12292","created_at":"2026-07-05T08:33:43Z"},{"alias_kind":"pith_short_12","alias_value":"NS22VSJYQE7K","created_at":"2026-07-05T08:33:43Z"},{"alias_kind":"pith_short_16","alias_value":"NS22VSJYQE7KKYKL","created_at":"2026-07-05T08:33:43Z"},{"alias_kind":"pith_short_8","alias_value":"NS22VSJY","created_at":"2026-07-05T08:33:43Z"}],"graph_snapshots":[{"event_id":"sha256:eb9c28176420183fd9d20257a923efcd871700e590ad2ce22f9354ed0db7a4d1","target":"graph","created_at":"2026-07-05T08:33:43Z","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/2406.12292/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large models for text-to-music generation have achieved significant progress, facilitating the creation of high-quality and varied musical compositions from provided text prompts. However, input text prompts may not precisely capture user requirements, particularly when the objective is to generate music that embodies a specific concept derived from a designated reference collection. In this paper, we propose a novel method for customized text-to-music generation, which can capture the concept from a two-minute reference music and generate a new piece of music conforming to the concept. We ach","authors_text":"Alex Wang, Boyu Chen, Peike Li, Yao Yao","cross_cats":["cs.AI","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SD","submitted_at":"2024-06-18T05:54:11Z","title":"JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.12292","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":"sha256:9a350cc9ed2e177ad2748c2905f0a54b8356ae428275d1a75349a2576049d57d","target":"record","created_at":"2026-07-05T08:33:43Z","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":"6827cc0538f3e14f8b1968696954f7bab61e1df0d0cf0ec8af7d8186a617c1e8","cross_cats_sorted":["cs.AI","eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SD","submitted_at":"2024-06-18T05:54:11Z","title_canon_sha256":"c370e34f99df9b4c2bc2e17dce96cd64944f410c94b9e9146311dc0512d06f23"},"schema_version":"1.0","source":{"id":"2406.12292","kind":"arxiv","version":1}},"canonical_sha256":"6cb5aac938813ea5614b8eeb099bf4a7d38b9e52d0b9a1eeab4db0757cd15a9c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6cb5aac938813ea5614b8eeb099bf4a7d38b9e52d0b9a1eeab4db0757cd15a9c","first_computed_at":"2026-07-05T08:33:43.783649Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:33:43.783649Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"00916X7BEUh1Vfl1TarFtNmkwEP9nBlAiaOdQKFdcfKVJGMTzc9A/kMWCy9W030ZLn+5LcLNyx8R8NXxyqqqBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:33:43.784114Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.12292","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9a350cc9ed2e177ad2748c2905f0a54b8356ae428275d1a75349a2576049d57d","sha256:eb9c28176420183fd9d20257a923efcd871700e590ad2ce22f9354ed0db7a4d1"],"state_sha256":"9600d0c3f8eca8e4fd7329d7826d74183b2ed917a272fc1a15bd608246927b3d"}