{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:HHCPU5EOHRVUVBJO5G5HONYQDA","short_pith_number":"pith:HHCPU5EO","schema_version":"1.0","canonical_sha256":"39c4fa748e3c6b4a852ee9ba773710181c1278cb6f44af2b3021550cfe242c5e","source":{"kind":"arxiv","id":"2211.00222","version":2},"attestation_state":"computed","paper":{"title":"SDMuse: Stochastic Differential Music Editing and Generation via Hybrid Representation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MM","eess.AS"],"primary_cat":"cs.SD","authors_text":"Chen Zhang, Kejun Zhang, Shuicheng Yan, Yi Ren","submitted_at":"2022-11-01T02:10:25Z","abstract_excerpt":"While deep generative models have empowered music generation, it remains a challenging and under-explored problem to edit an existing musical piece at fine granularity. In this paper, we propose SDMuse, a unified Stochastic Differential Music editing and generation framework, which can not only compose a whole musical piece from scratch, but also modify existing musical pieces in many ways, such as combination, continuation, inpainting, and style transferring. The proposed SDMuse follows a two-stage pipeline to achieve music generation and editing on top of a hybrid representation including pi"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2211.00222","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-11-01T02:10:25Z","cross_cats_sorted":["cs.MM","eess.AS"],"title_canon_sha256":"963a804c3de01b307350b99022eda629b059061d0139ef1c43f829ecfc6ad4fd","abstract_canon_sha256":"08da7de332893911b5e7b91b9fa239650a90d2b7ca5ddbbfe692ff654df15276"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:12:32.326362Z","signature_b64":"VXcxNsPsKJCtm4xVdeutE99tNxlbeEwNNh69DxVeQntEVMmUCHB7gYKotl/3+fdirYQRpjjsA46q91noaCdyBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"39c4fa748e3c6b4a852ee9ba773710181c1278cb6f44af2b3021550cfe242c5e","last_reissued_at":"2026-07-05T05:12:32.325932Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:12:32.325932Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SDMuse: Stochastic Differential Music Editing and Generation via Hybrid Representation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MM","eess.AS"],"primary_cat":"cs.SD","authors_text":"Chen Zhang, Kejun Zhang, Shuicheng Yan, Yi Ren","submitted_at":"2022-11-01T02:10:25Z","abstract_excerpt":"While deep generative models have empowered music generation, it remains a challenging and under-explored problem to edit an existing musical piece at fine granularity. In this paper, we propose SDMuse, a unified Stochastic Differential Music editing and generation framework, which can not only compose a whole musical piece from scratch, but also modify existing musical pieces in many ways, such as combination, continuation, inpainting, and style transferring. The proposed SDMuse follows a two-stage pipeline to achieve music generation and editing on top of a hybrid representation including pi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.00222","kind":"arxiv","version":2},"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/2211.00222/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2211.00222","created_at":"2026-07-05T05:12:32.325992+00:00"},{"alias_kind":"arxiv_version","alias_value":"2211.00222v2","created_at":"2026-07-05T05:12:32.325992+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.00222","created_at":"2026-07-05T05:12:32.325992+00:00"},{"alias_kind":"pith_short_12","alias_value":"HHCPU5EOHRVU","created_at":"2026-07-05T05:12:32.325992+00:00"},{"alias_kind":"pith_short_16","alias_value":"HHCPU5EOHRVUVBJO","created_at":"2026-07-05T05:12:32.325992+00:00"},{"alias_kind":"pith_short_8","alias_value":"HHCPU5EO","created_at":"2026-07-05T05:12:32.325992+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/HHCPU5EOHRVUVBJO5G5HONYQDA","json":"https://pith.science/pith/HHCPU5EOHRVUVBJO5G5HONYQDA.json","graph_json":"https://pith.science/api/pith-number/HHCPU5EOHRVUVBJO5G5HONYQDA/graph.json","events_json":"https://pith.science/api/pith-number/HHCPU5EOHRVUVBJO5G5HONYQDA/events.json","paper":"https://pith.science/paper/HHCPU5EO"},"agent_actions":{"view_html":"https://pith.science/pith/HHCPU5EOHRVUVBJO5G5HONYQDA","download_json":"https://pith.science/pith/HHCPU5EOHRVUVBJO5G5HONYQDA.json","view_paper":"https://pith.science/paper/HHCPU5EO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2211.00222&json=true","fetch_graph":"https://pith.science/api/pith-number/HHCPU5EOHRVUVBJO5G5HONYQDA/graph.json","fetch_events":"https://pith.science/api/pith-number/HHCPU5EOHRVUVBJO5G5HONYQDA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HHCPU5EOHRVUVBJO5G5HONYQDA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HHCPU5EOHRVUVBJO5G5HONYQDA/action/storage_attestation","attest_author":"https://pith.science/pith/HHCPU5EOHRVUVBJO5G5HONYQDA/action/author_attestation","sign_citation":"https://pith.science/pith/HHCPU5EOHRVUVBJO5G5HONYQDA/action/citation_signature","submit_replication":"https://pith.science/pith/HHCPU5EOHRVUVBJO5G5HONYQDA/action/replication_record"}},"created_at":"2026-07-05T05:12:32.325992+00:00","updated_at":"2026-07-05T05:12:32.325992+00:00"}