{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4IMMF7KRL75RCC2RXGR7ADDQZP","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":"c252a05b86abc4509d6d36451f274bed1b455e435d07bd9af5c2f886e54f4b69","cross_cats_sorted":["cs.AI","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-09-02T03:18:56Z","title_canon_sha256":"a911e5d7bd127f7b3970faa0aaec32bf9fdde8c6eb1f4c75c7cb3dcf001431a1"},"schema_version":"1.0","source":{"id":"2409.00919","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.00919","created_at":"2026-07-05T09:01:55Z"},{"alias_kind":"arxiv_version","alias_value":"2409.00919v1","created_at":"2026-07-05T09:01:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.00919","created_at":"2026-07-05T09:01:55Z"},{"alias_kind":"pith_short_12","alias_value":"4IMMF7KRL75R","created_at":"2026-07-05T09:01:55Z"},{"alias_kind":"pith_short_16","alias_value":"4IMMF7KRL75RCC2R","created_at":"2026-07-05T09:01:55Z"},{"alias_kind":"pith_short_8","alias_value":"4IMMF7KR","created_at":"2026-07-05T09:01:55Z"}],"graph_snapshots":[{"event_id":"sha256:48326d3526206ef3a660c6ab0f0e340d8934debfc4b7abd9dacdf7ec6dff111f","target":"graph","created_at":"2026-07-05T09:01:55Z","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/2409.00919/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a novel symbolic music representation and Generative Adversarial Network (GAN) framework specially designed for symbolic multitrack music generation. The main theme of symbolic music generation primarily encompasses the preprocessing of music data and the implementation of a deep learning framework. Current techniques dedicated to symbolic music generation generally encounter two significant challenges: training data's lack of information about chords and scales and the requirement of specially designed model architecture adapted to the unique format of symbolic music representation","authors_text":"Jinlong Zhu, Keigo Sakurai, Miki Haseyama, Ren Togo, Takahiro Ogawa","cross_cats":["cs.AI","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-09-02T03:18:56Z","title":"MMT-BERT: Chord-aware Symbolic Music Generation Based on Multitrack Music Transformer and MusicBERT"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.00919","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":"sha256:4eb85cf66542e9fb6c5b6451b6a435a3f92e34d0e4dd4bc8591a50632f121c79","target":"record","created_at":"2026-07-05T09:01:55Z","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":"c252a05b86abc4509d6d36451f274bed1b455e435d07bd9af5c2f886e54f4b69","cross_cats_sorted":["cs.AI","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-09-02T03:18:56Z","title_canon_sha256":"a911e5d7bd127f7b3970faa0aaec32bf9fdde8c6eb1f4c75c7cb3dcf001431a1"},"schema_version":"1.0","source":{"id":"2409.00919","kind":"arxiv","version":1}},"canonical_sha256":"e218c2fd515ffb110b51b9a3f00c70cbe5892c03fd99dc7282db8db7d85c50f8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e218c2fd515ffb110b51b9a3f00c70cbe5892c03fd99dc7282db8db7d85c50f8","first_computed_at":"2026-07-05T09:01:55.253738Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:01:55.253738Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LBAgsNxlxpngvbrzzu7QseSD+58+7Shva0jiGGTn9+xY51fo6zO6hecNX1pUuhHXsmtrkTRO6V3Hfmp2Avx5Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:01:55.254139Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.00919","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4eb85cf66542e9fb6c5b6451b6a435a3f92e34d0e4dd4bc8591a50632f121c79","sha256:48326d3526206ef3a660c6ab0f0e340d8934debfc4b7abd9dacdf7ec6dff111f"],"state_sha256":"ca1ee7242fca44712c45db29bef91a20dc9d02d5cd5ea843685a7628e034e71a"}