{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:U6L7SYBORWU3HRZE7Y7G4FT6ZZ","short_pith_number":"pith:U6L7SYBO","canonical_record":{"source":{"id":"2301.11757","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-01-27T14:52:53Z","cross_cats_sorted":["cs.LG","cs.SD","eess.AS"],"title_canon_sha256":"bfae7d3d728561a8153ecce47917c548b7d91947eb52d594c7a4ed472906b8f1","abstract_canon_sha256":"1912cc7b65d1ac85641936171def1bf91a850c35dba8ddb117fc1c640d4f41bd"},"schema_version":"1.0"},"canonical_sha256":"a797f9602e8da9b3c724fe3e6e167ece4e80409c3c58ea55b8bc25b6143ab4ea","source":{"kind":"arxiv","id":"2301.11757","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.11757","created_at":"2026-07-05T07:04:12Z"},{"alias_kind":"arxiv_version","alias_value":"2301.11757v3","created_at":"2026-07-05T07:04:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.11757","created_at":"2026-07-05T07:04:12Z"},{"alias_kind":"pith_short_12","alias_value":"U6L7SYBORWU3","created_at":"2026-07-05T07:04:12Z"},{"alias_kind":"pith_short_16","alias_value":"U6L7SYBORWU3HRZE","created_at":"2026-07-05T07:04:12Z"},{"alias_kind":"pith_short_8","alias_value":"U6L7SYBO","created_at":"2026-07-05T07:04:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:U6L7SYBORWU3HRZE7Y7G4FT6ZZ","target":"record","payload":{"canonical_record":{"source":{"id":"2301.11757","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-01-27T14:52:53Z","cross_cats_sorted":["cs.LG","cs.SD","eess.AS"],"title_canon_sha256":"bfae7d3d728561a8153ecce47917c548b7d91947eb52d594c7a4ed472906b8f1","abstract_canon_sha256":"1912cc7b65d1ac85641936171def1bf91a850c35dba8ddb117fc1c640d4f41bd"},"schema_version":"1.0"},"canonical_sha256":"a797f9602e8da9b3c724fe3e6e167ece4e80409c3c58ea55b8bc25b6143ab4ea","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:04:12.453751Z","signature_b64":"ilwkZ2ahsxtNJpoFN4UV4yxwMbJFwp5q0J5iaVAh0hZwfi6jL3DxBBiIeOYmSGYhzwB7vY832v4rUHaZ8I0vAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a797f9602e8da9b3c724fe3e6e167ece4e80409c3c58ea55b8bc25b6143ab4ea","last_reissued_at":"2026-07-05T07:04:12.453247Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:04:12.453247Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2301.11757","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:04:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6OJN/M/GcUQgO2usmZQf8TMVV9XDdGoUMypcMTJcfhZl4/rIUB7gVp0TeCf0Wk8Z+n20Aon1o/15gi+IO9qFAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T14:35:14.550882Z"},"content_sha256":"679b733e4b1ba985fb8ded7877f2fc5d585d3bccabbeab837206826322b10893","schema_version":"1.0","event_id":"sha256:679b733e4b1ba985fb8ded7877f2fc5d585d3bccabbeab837206826322b10893"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:U6L7SYBORWU3HRZE7Y7G4FT6ZZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Mo\\^usai: Text-to-Music Generation with Long-Context Latent Diffusion","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","cs.SD","eess.AS"],"primary_cat":"cs.CL","authors_text":"Bernhard Sch\\\"olkopf, Flavio Schneider, Ojasv Kamal, Zhijing Jin","submitted_at":"2023-01-27T14:52:53Z","abstract_excerpt":"Recent years have seen the rapid development of large generative models for text; however, much less research has explored the connection between text and another \"language\" of communication -- music. Music, much like text, can convey emotions, stories, and ideas, and has its own unique structure and syntax. In our work, we bridge text and music via a text-to-music generation model that is highly efficient, expressive, and can handle long-term structure. Specifically, we develop Mo\\^usai, a cascading two-stage latent diffusion model that can generate multiple minutes of high-quality stereo mus"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.11757","kind":"arxiv","version":3},"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/2301.11757/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:04:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MSwv4QvpoknQX0ngnFWnew7Zo2reeQMxZeXI5s5JJnEEYKktT3jebtblmvH8nQKT9XutaYczvJJ+E5aDXVz3CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T14:35:14.551399Z"},"content_sha256":"cbb848bcf98827681b4178f0f6b2ab657b1bf76eb0e7c7d14445c73151893426","schema_version":"1.0","event_id":"sha256:cbb848bcf98827681b4178f0f6b2ab657b1bf76eb0e7c7d14445c73151893426"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U6L7SYBORWU3HRZE7Y7G4FT6ZZ/bundle.json","state_url":"https://pith.science/pith/U6L7SYBORWU3HRZE7Y7G4FT6ZZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U6L7SYBORWU3HRZE7Y7G4FT6ZZ/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":"2026-08-10T14:35:14Z","links":{"resolver":"https://pith.science/pith/U6L7SYBORWU3HRZE7Y7G4FT6ZZ","bundle":"https://pith.science/pith/U6L7SYBORWU3HRZE7Y7G4FT6ZZ/bundle.json","state":"https://pith.science/pith/U6L7SYBORWU3HRZE7Y7G4FT6ZZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U6L7SYBORWU3HRZE7Y7G4FT6ZZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:U6L7SYBORWU3HRZE7Y7G4FT6ZZ","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":"1912cc7b65d1ac85641936171def1bf91a850c35dba8ddb117fc1c640d4f41bd","cross_cats_sorted":["cs.LG","cs.SD","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-01-27T14:52:53Z","title_canon_sha256":"bfae7d3d728561a8153ecce47917c548b7d91947eb52d594c7a4ed472906b8f1"},"schema_version":"1.0","source":{"id":"2301.11757","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.11757","created_at":"2026-07-05T07:04:12Z"},{"alias_kind":"arxiv_version","alias_value":"2301.11757v3","created_at":"2026-07-05T07:04:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.11757","created_at":"2026-07-05T07:04:12Z"},{"alias_kind":"pith_short_12","alias_value":"U6L7SYBORWU3","created_at":"2026-07-05T07:04:12Z"},{"alias_kind":"pith_short_16","alias_value":"U6L7SYBORWU3HRZE","created_at":"2026-07-05T07:04:12Z"},{"alias_kind":"pith_short_8","alias_value":"U6L7SYBO","created_at":"2026-07-05T07:04:12Z"}],"graph_snapshots":[{"event_id":"sha256:cbb848bcf98827681b4178f0f6b2ab657b1bf76eb0e7c7d14445c73151893426","target":"graph","created_at":"2026-07-05T07:04:12Z","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/2301.11757/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent years have seen the rapid development of large generative models for text; however, much less research has explored the connection between text and another \"language\" of communication -- music. Music, much like text, can convey emotions, stories, and ideas, and has its own unique structure and syntax. In our work, we bridge text and music via a text-to-music generation model that is highly efficient, expressive, and can handle long-term structure. Specifically, we develop Mo\\^usai, a cascading two-stage latent diffusion model that can generate multiple minutes of high-quality stereo mus","authors_text":"Bernhard Sch\\\"olkopf, Flavio Schneider, Ojasv Kamal, Zhijing Jin","cross_cats":["cs.LG","cs.SD","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-01-27T14:52:53Z","title":"Mo\\^usai: Text-to-Music Generation with Long-Context Latent Diffusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.11757","kind":"arxiv","version":3},"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":"sha256:679b733e4b1ba985fb8ded7877f2fc5d585d3bccabbeab837206826322b10893","target":"record","created_at":"2026-07-05T07:04:12Z","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":"1912cc7b65d1ac85641936171def1bf91a850c35dba8ddb117fc1c640d4f41bd","cross_cats_sorted":["cs.LG","cs.SD","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-01-27T14:52:53Z","title_canon_sha256":"bfae7d3d728561a8153ecce47917c548b7d91947eb52d594c7a4ed472906b8f1"},"schema_version":"1.0","source":{"id":"2301.11757","kind":"arxiv","version":3}},"canonical_sha256":"a797f9602e8da9b3c724fe3e6e167ece4e80409c3c58ea55b8bc25b6143ab4ea","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a797f9602e8da9b3c724fe3e6e167ece4e80409c3c58ea55b8bc25b6143ab4ea","first_computed_at":"2026-07-05T07:04:12.453247Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:04:12.453247Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ilwkZ2ahsxtNJpoFN4UV4yxwMbJFwp5q0J5iaVAh0hZwfi6jL3DxBBiIeOYmSGYhzwB7vY832v4rUHaZ8I0vAw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:04:12.453751Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.11757","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:679b733e4b1ba985fb8ded7877f2fc5d585d3bccabbeab837206826322b10893","sha256:cbb848bcf98827681b4178f0f6b2ab657b1bf76eb0e7c7d14445c73151893426"],"state_sha256":"403c375ab6e0076f172dca873b8ab26490da581a7869785598ca57eea89cd791"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"drLTX74f185uWLF83T7PEHIhMpesJDeThBCZwJ4bdM2+jFMMeY4cj+fovslUh0m50ZkYUSzODsZ/1FFvtTA4DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T14:35:14.556249Z","bundle_sha256":"cdc57e807f5b5d0b8b99ad458be7fcb764518cebd09c9c198feea54782d06b78"}}