{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:OHFNOY6B4IKS34RNDWNSJOMRG5","short_pith_number":"pith:OHFNOY6B","canonical_record":{"source":{"id":"1905.13567","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2019-05-30T06:30:37Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"c669642032de12161544627888cfd61571cc5fd00084f15942d464285a594e38","abstract_canon_sha256":"86f432a316cfbf5e1319568fe408494594b5ba9a9595f74706e1078631fc7126"},"schema_version":"1.0"},"canonical_sha256":"71cad763c1e2152df22d1d9b24b9913740289f15d023af2b9d398174b72aeb72","source":{"kind":"arxiv","id":"1905.13567","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.13567","created_at":"2026-05-17T23:44:34Z"},{"alias_kind":"arxiv_version","alias_value":"1905.13567v1","created_at":"2026-05-17T23:44:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.13567","created_at":"2026-05-17T23:44:34Z"},{"alias_kind":"pith_short_12","alias_value":"OHFNOY6B4IKS","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"OHFNOY6B4IKS34RN","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"OHFNOY6B","created_at":"2026-05-18T12:33:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:OHFNOY6B4IKS34RNDWNSJOMRG5","target":"record","payload":{"canonical_record":{"source":{"id":"1905.13567","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2019-05-30T06:30:37Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"c669642032de12161544627888cfd61571cc5fd00084f15942d464285a594e38","abstract_canon_sha256":"86f432a316cfbf5e1319568fe408494594b5ba9a9595f74706e1078631fc7126"},"schema_version":"1.0"},"canonical_sha256":"71cad763c1e2152df22d1d9b24b9913740289f15d023af2b9d398174b72aeb72","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:44:34.539351Z","signature_b64":"MayXzRWy9VFUBF6hCBIHgxu0L/BC0bvRJS+n3gdA12lzIut1pV2JaEaJYdSXJHVOg/LrdDddKT0Q/mmXa5daAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"71cad763c1e2152df22d1d9b24b9913740289f15d023af2b9d398174b72aeb72","last_reissued_at":"2026-05-17T23:44:34.538684Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:44:34.538684Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1905.13567","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":"2026-05-17T23:44:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WgBqqE694xz7UHRaT2h+JmdZhmzo0RKlRdhqvEzcJGoPTESG313yf7x5JP65e/108XrUPKyDagFqyLASBYezAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T23:39:35.045533Z"},"content_sha256":"a121a0203437ccbf3a3b2a1e5951e9ade039622019f167892891e50f1431e46a","schema_version":"1.0","event_id":"sha256:a121a0203437ccbf3a3b2a1e5951e9ade039622019f167892891e50f1431e46a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:OHFNOY6B4IKS34RNDWNSJOMRG5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Musical Composition Style Transfer via Disentangled Timbre Representations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"I-Tung Chiang, Yi-An Chen, Yi-Hsuan Yang, Yun-Ning Hung","submitted_at":"2019-05-30T06:30:37Z","abstract_excerpt":"Music creation involves not only composing the different parts (e.g., melody, chords) of a musical work but also arranging/selecting the instruments to play the different parts. While the former has received increasing attention, the latter has not been much investigated. This paper presents, to the best of our knowledge, the first deep learning models for rearranging music of arbitrary genres. Specifically, we build encoders and decoders that take a piece of polyphonic musical audio as input and predict as output its musical score. We investigate disentanglement techniques such as adversarial"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.13567","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":""},"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":"2026-05-17T23:44:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qKoFap8Epv1G8QlLt3JVfKJYkfE6xxrM1l2BafscQsHeSbLrWi5Weabbk8tq3XOTFVcZ1RuPLhp47eKKekFqCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T23:39:35.045936Z"},"content_sha256":"dc176e67e33da40d21ee145ebb6a866e7ed2823b127731f16155df403c4a092a","schema_version":"1.0","event_id":"sha256:dc176e67e33da40d21ee145ebb6a866e7ed2823b127731f16155df403c4a092a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OHFNOY6B4IKS34RNDWNSJOMRG5/bundle.json","state_url":"https://pith.science/pith/OHFNOY6B4IKS34RNDWNSJOMRG5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OHFNOY6B4IKS34RNDWNSJOMRG5/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":"2026-05-31T23:39:35Z","links":{"resolver":"https://pith.science/pith/OHFNOY6B4IKS34RNDWNSJOMRG5","bundle":"https://pith.science/pith/OHFNOY6B4IKS34RNDWNSJOMRG5/bundle.json","state":"https://pith.science/pith/OHFNOY6B4IKS34RNDWNSJOMRG5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OHFNOY6B4IKS34RNDWNSJOMRG5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:OHFNOY6B4IKS34RNDWNSJOMRG5","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":"86f432a316cfbf5e1319568fe408494594b5ba9a9595f74706e1078631fc7126","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2019-05-30T06:30:37Z","title_canon_sha256":"c669642032de12161544627888cfd61571cc5fd00084f15942d464285a594e38"},"schema_version":"1.0","source":{"id":"1905.13567","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.13567","created_at":"2026-05-17T23:44:34Z"},{"alias_kind":"arxiv_version","alias_value":"1905.13567v1","created_at":"2026-05-17T23:44:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.13567","created_at":"2026-05-17T23:44:34Z"},{"alias_kind":"pith_short_12","alias_value":"OHFNOY6B4IKS","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"OHFNOY6B4IKS34RN","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"OHFNOY6B","created_at":"2026-05-18T12:33:24Z"}],"graph_snapshots":[{"event_id":"sha256:dc176e67e33da40d21ee145ebb6a866e7ed2823b127731f16155df403c4a092a","target":"graph","created_at":"2026-05-17T23:44:34Z","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"},"paper":{"abstract_excerpt":"Music creation involves not only composing the different parts (e.g., melody, chords) of a musical work but also arranging/selecting the instruments to play the different parts. While the former has received increasing attention, the latter has not been much investigated. This paper presents, to the best of our knowledge, the first deep learning models for rearranging music of arbitrary genres. Specifically, we build encoders and decoders that take a piece of polyphonic musical audio as input and predict as output its musical score. We investigate disentanglement techniques such as adversarial","authors_text":"I-Tung Chiang, Yi-An Chen, Yi-Hsuan Yang, Yun-Ning Hung","cross_cats":["cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2019-05-30T06:30:37Z","title":"Musical Composition Style Transfer via Disentangled Timbre Representations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.13567","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:a121a0203437ccbf3a3b2a1e5951e9ade039622019f167892891e50f1431e46a","target":"record","created_at":"2026-05-17T23:44:34Z","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":"86f432a316cfbf5e1319568fe408494594b5ba9a9595f74706e1078631fc7126","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2019-05-30T06:30:37Z","title_canon_sha256":"c669642032de12161544627888cfd61571cc5fd00084f15942d464285a594e38"},"schema_version":"1.0","source":{"id":"1905.13567","kind":"arxiv","version":1}},"canonical_sha256":"71cad763c1e2152df22d1d9b24b9913740289f15d023af2b9d398174b72aeb72","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71cad763c1e2152df22d1d9b24b9913740289f15d023af2b9d398174b72aeb72","first_computed_at":"2026-05-17T23:44:34.538684Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:44:34.538684Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MayXzRWy9VFUBF6hCBIHgxu0L/BC0bvRJS+n3gdA12lzIut1pV2JaEaJYdSXJHVOg/LrdDddKT0Q/mmXa5daAg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:44:34.539351Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.13567","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a121a0203437ccbf3a3b2a1e5951e9ade039622019f167892891e50f1431e46a","sha256:dc176e67e33da40d21ee145ebb6a866e7ed2823b127731f16155df403c4a092a"],"state_sha256":"9797ed6e4408eea1fd192b1fdef6097f064cbd56771c92f44bce27810c459cc4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o8pDs2b5CIFe6OmFFv7pGyJilCr2TSzWbKfyOhHFpGkJZEuS/D6szS6icG4ZeqkzORFfrOZ8lEXDs/5rOH0rAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T23:39:35.048771Z","bundle_sha256":"1437ed520bdb27feeb78a5cc410a9146d00e3a9321fc7dc7d0129d126a87408e"}}