{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:UHYXODD7QF2H5ODB336O2P7YQI","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":"87eb71c20f9d9a146575eb2eb0af2ecffd4ef3eac89cf2499d1eb6a26add50d1","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2024-04-25T18:42:25Z","title_canon_sha256":"190d4882dd39d7cd1376bc4ac3de23c5bb1c026eca28d7c79f5a11fe59e618b3"},"schema_version":"1.0","source":{"id":"2404.16969","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.16969","created_at":"2026-07-05T09:58:58Z"},{"alias_kind":"arxiv_version","alias_value":"2404.16969v4","created_at":"2026-07-05T09:58:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.16969","created_at":"2026-07-05T09:58:58Z"},{"alias_kind":"pith_short_12","alias_value":"UHYXODD7QF2H","created_at":"2026-07-05T09:58:58Z"},{"alias_kind":"pith_short_16","alias_value":"UHYXODD7QF2H5ODB","created_at":"2026-07-05T09:58:58Z"},{"alias_kind":"pith_short_8","alias_value":"UHYXODD7","created_at":"2026-07-05T09:58:58Z"}],"graph_snapshots":[{"event_id":"sha256:2e20ff4763db9fea7f69aad7bb32c90b1bcabf3b257150e88ccd1977e8aca785","target":"graph","created_at":"2026-07-05T09:58:58Z","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/2404.16969/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present COCOLA (Coherence-Oriented Contrastive Learning for Audio), a contrastive learning method for musical audio representations that captures the harmonic and rhythmic coherence between samples. Our method operates at the level of the stems composing music tracks and can input features obtained via Harmonic-Percussive Separation (HPS). COCOLA allows the objective evaluation of generative models for music accompaniment generation, which are difficult to benchmark with established metrics. In this regard, we evaluate recent music accompaniment generation models, demonstrating the effectiv","authors_text":"Emanuele Rodol\\`a, Emilian Postolache, Giorgio Fabbro, Giorgio Mariani, Luca Cosmo, Michele Mancusi, Ruben Ciranni","cross_cats":["cs.LG","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2024-04-25T18:42:25Z","title":"COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.16969","kind":"arxiv","version":4},"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":"sha256:23ee4ab45afc01e5e9f02d42a95816d900f7ccebd834550407ab7706010a94ed","target":"record","created_at":"2026-07-05T09:58:58Z","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":"87eb71c20f9d9a146575eb2eb0af2ecffd4ef3eac89cf2499d1eb6a26add50d1","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2024-04-25T18:42:25Z","title_canon_sha256":"190d4882dd39d7cd1376bc4ac3de23c5bb1c026eca28d7c79f5a11fe59e618b3"},"schema_version":"1.0","source":{"id":"2404.16969","kind":"arxiv","version":4}},"canonical_sha256":"a1f1770c7f81747eb861defced3ff8821e125ed2828ce3476bb0271ae24607b1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a1f1770c7f81747eb861defced3ff8821e125ed2828ce3476bb0271ae24607b1","first_computed_at":"2026-07-05T09:58:58.235136Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:58:58.235136Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7Zk4fSq0JJ5lxCqj8dH9nHqLRXAKVV31fP1WUp+gGxrE2mjjc8FDXhCZ8JwvX0FAZ8ociD/fKmMPyT5SOfQ3Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:58:58.235590Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.16969","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:23ee4ab45afc01e5e9f02d42a95816d900f7ccebd834550407ab7706010a94ed","sha256:2e20ff4763db9fea7f69aad7bb32c90b1bcabf3b257150e88ccd1977e8aca785"],"state_sha256":"d46ee7acd379a3937a04e1575b104e56d75b19dbfa3015d8591108b9ac1d9739"}