{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:NYB7F24EU753HAKTWMK32JW56C","short_pith_number":"pith:NYB7F24E","schema_version":"1.0","canonical_sha256":"6e03f2eb84a7fbb38153b315bd26ddf08f3db0d03c3e86807978e9901a5f2b73","source":{"kind":"arxiv","id":"2607.10233","version":1},"attestation_state":"computed","paper":{"title":"MeloBottleneck: Self-Supervised Melody Skeleton Extraction with a Latent Subsequence Bottleneck","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.SD","authors_text":"Fan Bu, Linfeng Fan, Rongfeng Li","submitted_at":"2026-07-11T09:44:32Z","abstract_excerpt":"Melody skeleton extraction aims to derive a shorter melody that preserves structural notes while removing ornaments. Prior methods rely on hand-crafted reduction rules or note-wise salience classifiers trained with heuristically or procedurally generated pseudo-labels. Such supervision can inherit generator bias and does not explicitly optimize a coherent reduced melody. We introduce MeloBottleneck, a self-supervised framework that represents a skeleton as a length-controlled, order-preserving latent subsequence. A hard-bottleneck extractor selects note events, a rhythmic-closure operator prod"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.10233","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2026-07-11T09:44:32Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"3a3a75a49876c5e60801e4ec89d2937ecf8debe01684945fb31f2cfcd99b98e6","abstract_canon_sha256":"c2e87d5711cd4302af7f966ebce81bc56735ef492db0ead034df8fa2b3057670"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-14T01:20:31.940013Z","signature_b64":"8N/UKEeQZUB5Pvq3yP2WJI1833VKpZNwcbdDIVC1fXfQDRaFsjqpJoksJDyKXdvl2M2N4scvpCYAiXvUpDdoBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6e03f2eb84a7fbb38153b315bd26ddf08f3db0d03c3e86807978e9901a5f2b73","last_reissued_at":"2026-07-14T01:20:31.939114Z","signature_status":"signed_v1","first_computed_at":"2026-07-14T01:20:31.939114Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MeloBottleneck: Self-Supervised Melody Skeleton Extraction with a Latent Subsequence Bottleneck","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.SD","authors_text":"Fan Bu, Linfeng Fan, Rongfeng Li","submitted_at":"2026-07-11T09:44:32Z","abstract_excerpt":"Melody skeleton extraction aims to derive a shorter melody that preserves structural notes while removing ornaments. Prior methods rely on hand-crafted reduction rules or note-wise salience classifiers trained with heuristically or procedurally generated pseudo-labels. Such supervision can inherit generator bias and does not explicitly optimize a coherent reduced melody. We introduce MeloBottleneck, a self-supervised framework that represents a skeleton as a length-controlled, order-preserving latent subsequence. A hard-bottleneck extractor selects note events, a rhythmic-closure operator prod"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.10233","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/2607.10233/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.10233","created_at":"2026-07-14T01:20:31.939594+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.10233v1","created_at":"2026-07-14T01:20:31.939594+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.10233","created_at":"2026-07-14T01:20:31.939594+00:00"},{"alias_kind":"pith_short_12","alias_value":"NYB7F24EU753","created_at":"2026-07-14T01:20:31.939594+00:00"},{"alias_kind":"pith_short_16","alias_value":"NYB7F24EU753HAKT","created_at":"2026-07-14T01:20:31.939594+00:00"},{"alias_kind":"pith_short_8","alias_value":"NYB7F24E","created_at":"2026-07-14T01:20:31.939594+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/NYB7F24EU753HAKTWMK32JW56C","json":"https://pith.science/pith/NYB7F24EU753HAKTWMK32JW56C.json","graph_json":"https://pith.science/api/pith-number/NYB7F24EU753HAKTWMK32JW56C/graph.json","events_json":"https://pith.science/api/pith-number/NYB7F24EU753HAKTWMK32JW56C/events.json","paper":"https://pith.science/paper/NYB7F24E"},"agent_actions":{"view_html":"https://pith.science/pith/NYB7F24EU753HAKTWMK32JW56C","download_json":"https://pith.science/pith/NYB7F24EU753HAKTWMK32JW56C.json","view_paper":"https://pith.science/paper/NYB7F24E","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.10233&json=true","fetch_graph":"https://pith.science/api/pith-number/NYB7F24EU753HAKTWMK32JW56C/graph.json","fetch_events":"https://pith.science/api/pith-number/NYB7F24EU753HAKTWMK32JW56C/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NYB7F24EU753HAKTWMK32JW56C/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NYB7F24EU753HAKTWMK32JW56C/action/storage_attestation","attest_author":"https://pith.science/pith/NYB7F24EU753HAKTWMK32JW56C/action/author_attestation","sign_citation":"https://pith.science/pith/NYB7F24EU753HAKTWMK32JW56C/action/citation_signature","submit_replication":"https://pith.science/pith/NYB7F24EU753HAKTWMK32JW56C/action/replication_record"}},"created_at":"2026-07-14T01:20:31.939594+00:00","updated_at":"2026-07-14T01:20:31.939594+00:00"}