{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:YEXX5CEYPWWAKO45V33ODTGYJ2","short_pith_number":"pith:YEXX5CEY","canonical_record":{"source":{"id":"2008.01951","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-08-05T06:16:13Z","cross_cats_sorted":["cs.LG","eess.AS","stat.ML"],"title_canon_sha256":"ff6c599cf3b4caa635aca01b32672a8dd7928a4f7758d8a88beeb5257eff6eba","abstract_canon_sha256":"958ef05fe93349dd72b7856df681a099d78b2816abc6dc27ef4315ab93662053"},"schema_version":"1.0"},"canonical_sha256":"c12f7e88987dac053b9daef6e1ccd84eb6fa1dd93e1f100e191bcf17099d778f","source":{"kind":"arxiv","id":"2008.01951","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.01951","created_at":"2026-07-05T01:24:56Z"},{"alias_kind":"arxiv_version","alias_value":"2008.01951v1","created_at":"2026-07-05T01:24:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.01951","created_at":"2026-07-05T01:24:56Z"},{"alias_kind":"pith_short_12","alias_value":"YEXX5CEYPWWA","created_at":"2026-07-05T01:24:56Z"},{"alias_kind":"pith_short_16","alias_value":"YEXX5CEYPWWAKO45","created_at":"2026-07-05T01:24:56Z"},{"alias_kind":"pith_short_8","alias_value":"YEXX5CEY","created_at":"2026-07-05T01:24:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:YEXX5CEYPWWAKO45V33ODTGYJ2","target":"record","payload":{"canonical_record":{"source":{"id":"2008.01951","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-08-05T06:16:13Z","cross_cats_sorted":["cs.LG","eess.AS","stat.ML"],"title_canon_sha256":"ff6c599cf3b4caa635aca01b32672a8dd7928a4f7758d8a88beeb5257eff6eba","abstract_canon_sha256":"958ef05fe93349dd72b7856df681a099d78b2816abc6dc27ef4315ab93662053"},"schema_version":"1.0"},"canonical_sha256":"c12f7e88987dac053b9daef6e1ccd84eb6fa1dd93e1f100e191bcf17099d778f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:24:56.372279Z","signature_b64":"SomfEVkbNVEfGKJgRgw+Ax8Wwr9siweDx6rnBnYTaMw3LbI32FCexoZNieYRg8ceSNVEQ9BpZB5NULpL60c1DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c12f7e88987dac053b9daef6e1ccd84eb6fa1dd93e1f100e191bcf17099d778f","last_reissued_at":"2026-07-05T01:24:56.371813Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:24:56.371813Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2008.01951","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":"2026-07-05T01:24:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ac+YfQvdZ+O7CDhpGfYro6OJnwSX9rDK0H23aWvCKGGOx1N+tRhXhSBXCH/GZLavJdSO9rUebYby2xr4scyTCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T12:55:40.521449Z"},"content_sha256":"170d659c2ffa463f7799c77abb6e3c7564fd0f6151d9173c11831581b32077b0","schema_version":"1.0","event_id":"sha256:170d659c2ffa463f7799c77abb6e3c7564fd0f6151d9173c11831581b32077b0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:YEXX5CEYPWWAKO45V33ODTGYJ2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MusPy: A Toolkit for Symbolic Music Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.AS","stat.ML"],"primary_cat":"cs.SD","authors_text":"Hao-Wen Dong, Julian McAuley, Ke Chen, Taylor Berg-Kirkpatrick","submitted_at":"2020-08-05T06:16:13Z","abstract_excerpt":"In this paper, we present MusPy, an open source Python library for symbolic music generation. MusPy provides easy-to-use tools for essential components in a music generation system, including dataset management, data I/O, data preprocessing and model evaluation. In order to showcase its potential, we present statistical analysis of the eleven datasets currently supported by MusPy. Moreover, we conduct a cross-dataset generalizability experiment by training an autoregressive model on each dataset and measuring held-out likelihood on the others---a process which is made easier by MusPy's dataset"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.01951","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2008.01951/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":"2026-07-05T01:24:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EEIuvE5/eKdtPhwnIXnu7yhNzo2Y1pZ/qtO28VeAlzfYmfyj81oXe4sNkF2QWkDmVpJIIi1Spq1+HXvPfYvKBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T12:55:40.522410Z"},"content_sha256":"6fa3c67d4e089903809db7980a74d47bf2ea47db55f6cf54644b7ff539042124","schema_version":"1.0","event_id":"sha256:6fa3c67d4e089903809db7980a74d47bf2ea47db55f6cf54644b7ff539042124"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YEXX5CEYPWWAKO45V33ODTGYJ2/bundle.json","state_url":"https://pith.science/pith/YEXX5CEYPWWAKO45V33ODTGYJ2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YEXX5CEYPWWAKO45V33ODTGYJ2/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":"2026-08-08T12:55:40Z","links":{"resolver":"https://pith.science/pith/YEXX5CEYPWWAKO45V33ODTGYJ2","bundle":"https://pith.science/pith/YEXX5CEYPWWAKO45V33ODTGYJ2/bundle.json","state":"https://pith.science/pith/YEXX5CEYPWWAKO45V33ODTGYJ2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YEXX5CEYPWWAKO45V33ODTGYJ2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:YEXX5CEYPWWAKO45V33ODTGYJ2","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":"958ef05fe93349dd72b7856df681a099d78b2816abc6dc27ef4315ab93662053","cross_cats_sorted":["cs.LG","eess.AS","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-08-05T06:16:13Z","title_canon_sha256":"ff6c599cf3b4caa635aca01b32672a8dd7928a4f7758d8a88beeb5257eff6eba"},"schema_version":"1.0","source":{"id":"2008.01951","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.01951","created_at":"2026-07-05T01:24:56Z"},{"alias_kind":"arxiv_version","alias_value":"2008.01951v1","created_at":"2026-07-05T01:24:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.01951","created_at":"2026-07-05T01:24:56Z"},{"alias_kind":"pith_short_12","alias_value":"YEXX5CEYPWWA","created_at":"2026-07-05T01:24:56Z"},{"alias_kind":"pith_short_16","alias_value":"YEXX5CEYPWWAKO45","created_at":"2026-07-05T01:24:56Z"},{"alias_kind":"pith_short_8","alias_value":"YEXX5CEY","created_at":"2026-07-05T01:24:56Z"}],"graph_snapshots":[{"event_id":"sha256:6fa3c67d4e089903809db7980a74d47bf2ea47db55f6cf54644b7ff539042124","target":"graph","created_at":"2026-07-05T01:24:56Z","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/2008.01951/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we present MusPy, an open source Python library for symbolic music generation. MusPy provides easy-to-use tools for essential components in a music generation system, including dataset management, data I/O, data preprocessing and model evaluation. In order to showcase its potential, we present statistical analysis of the eleven datasets currently supported by MusPy. Moreover, we conduct a cross-dataset generalizability experiment by training an autoregressive model on each dataset and measuring held-out likelihood on the others---a process which is made easier by MusPy's dataset","authors_text":"Hao-Wen Dong, Julian McAuley, Ke Chen, Taylor Berg-Kirkpatrick","cross_cats":["cs.LG","eess.AS","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-08-05T06:16:13Z","title":"MusPy: A Toolkit for Symbolic Music Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.01951","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":"sha256:170d659c2ffa463f7799c77abb6e3c7564fd0f6151d9173c11831581b32077b0","target":"record","created_at":"2026-07-05T01:24:56Z","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":"958ef05fe93349dd72b7856df681a099d78b2816abc6dc27ef4315ab93662053","cross_cats_sorted":["cs.LG","eess.AS","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-08-05T06:16:13Z","title_canon_sha256":"ff6c599cf3b4caa635aca01b32672a8dd7928a4f7758d8a88beeb5257eff6eba"},"schema_version":"1.0","source":{"id":"2008.01951","kind":"arxiv","version":1}},"canonical_sha256":"c12f7e88987dac053b9daef6e1ccd84eb6fa1dd93e1f100e191bcf17099d778f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c12f7e88987dac053b9daef6e1ccd84eb6fa1dd93e1f100e191bcf17099d778f","first_computed_at":"2026-07-05T01:24:56.371813Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:24:56.371813Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SomfEVkbNVEfGKJgRgw+Ax8Wwr9siweDx6rnBnYTaMw3LbI32FCexoZNieYRg8ceSNVEQ9BpZB5NULpL60c1DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:24:56.372279Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.01951","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:170d659c2ffa463f7799c77abb6e3c7564fd0f6151d9173c11831581b32077b0","sha256:6fa3c67d4e089903809db7980a74d47bf2ea47db55f6cf54644b7ff539042124"],"state_sha256":"738da626923b4b7f67a7e3396f37173767c8081e2c3a28bd839056bd1540297d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m1+2lKF1dkrfqiAY/OabJvnyZ3agOSFn+BrpQdBnbEsNRFoQfspaUwWt6/4xqxt3zjhkVfYttMzC2hCxAFleCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T12:55:40.528283Z","bundle_sha256":"a3d2cd3106e8fc7a56df15460bea17371655c762a48f9cbfe54a8d632ee862a8"}}