{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:NTJNJACZLGUL7A22WDZ5ZDCARV","short_pith_number":"pith:NTJNJACZ","canonical_record":{"source":{"id":"1908.06969","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2019-08-18T14:26:59Z","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"title_canon_sha256":"fe8738962cbb0577f5cf0ae7b6f1ab6129198897d86dedfd81fa3ad70eb92352","abstract_canon_sha256":"939fe5840dc61a8570898f475c5da59868b9771be4eb40d6079df480609f452c"},"schema_version":"1.0"},"canonical_sha256":"6cd2d4805959a8bf835ab0f3dc8c408d46813537d53f8130188ae0f22dc38404","source":{"kind":"arxiv","id":"1908.06969","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.06969","created_at":"2026-07-05T02:15:21Z"},{"alias_kind":"arxiv_version","alias_value":"1908.06969v2","created_at":"2026-07-05T02:15:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.06969","created_at":"2026-07-05T02:15:21Z"},{"alias_kind":"pith_short_12","alias_value":"NTJNJACZLGUL","created_at":"2026-07-05T02:15:21Z"},{"alias_kind":"pith_short_16","alias_value":"NTJNJACZLGUL7A22","created_at":"2026-07-05T02:15:21Z"},{"alias_kind":"pith_short_8","alias_value":"NTJNJACZ","created_at":"2026-07-05T02:15:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:NTJNJACZLGUL7A22WDZ5ZDCARV","target":"record","payload":{"canonical_record":{"source":{"id":"1908.06969","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2019-08-18T14:26:59Z","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"title_canon_sha256":"fe8738962cbb0577f5cf0ae7b6f1ab6129198897d86dedfd81fa3ad70eb92352","abstract_canon_sha256":"939fe5840dc61a8570898f475c5da59868b9771be4eb40d6079df480609f452c"},"schema_version":"1.0"},"canonical_sha256":"6cd2d4805959a8bf835ab0f3dc8c408d46813537d53f8130188ae0f22dc38404","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:15:21.425117Z","signature_b64":"gtfSAC2wTnwKboibPbfHj+Dc5oDNBiRLcuWd1enFDF7M0uAb8O3WeP0/0WcKq2HfdhnPzAe4IC48L0Lky5waDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6cd2d4805959a8bf835ab0f3dc8c408d46813537d53f8130188ae0f22dc38404","last_reissued_at":"2026-07-05T02:15:21.424630Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:15:21.424630Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.06969","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:15:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wmfzg4VYiuheFZRzc+Ko4pIGvgGKfEv6ZppeUz6R+LMwD6JHYnaMUjVBuUZ4TTvc7ypba+CmCY39nog/RtXgCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T18:11:19.322779Z"},"content_sha256":"bae548c09dec73bdc3301e702feb9e6aac581a5e91fb3bfb27e38da3a7864fa1","schema_version":"1.0","event_id":"sha256:bae548c09dec73bdc3301e702feb9e6aac581a5e91fb3bfb27e38da3a7864fa1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:NTJNJACZLGUL7A22WDZ5ZDCARV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Musical Rhythm Transcription Based on Bayesian Piece-Specific Score Models Capturing Repetitions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"Eita Nakamura, Kazuyoshi Yoshii","submitted_at":"2019-08-18T14:26:59Z","abstract_excerpt":"Most work on musical score models (a.k.a. musical language models) for music transcription has focused on describing the local sequential dependence of notes in musical scores and failed to capture their global repetitive structure, which can be a useful guide for transcribing music. Focusing on rhythm, we formulate several classes of Bayesian Markov models of musical scores that describe repetitions indirectly using the sparse transition probabilities of notes or note patterns. This enables us to construct piece-specific models for unseen scores with an unfixed repetitive structure and to der"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.06969","kind":"arxiv","version":2},"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/1908.06969/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":"2026-07-05T02:15:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EsPjF/4/h6/lBixSJTsXsdbxGjQdA3zVYLvLQDcZ0vu9w03qN+mO0ajdOXjr7AHbU/rfycqGXXjZsBgTDPuuAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T18:11:19.323549Z"},"content_sha256":"5aa28582cca1236a6dcd0916b3bc25144a345bd9e1385e8a62044dd22572cf1c","schema_version":"1.0","event_id":"sha256:5aa28582cca1236a6dcd0916b3bc25144a345bd9e1385e8a62044dd22572cf1c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NTJNJACZLGUL7A22WDZ5ZDCARV/bundle.json","state_url":"https://pith.science/pith/NTJNJACZLGUL7A22WDZ5ZDCARV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NTJNJACZLGUL7A22WDZ5ZDCARV/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":"2026-08-16T18:11:19Z","links":{"resolver":"https://pith.science/pith/NTJNJACZLGUL7A22WDZ5ZDCARV","bundle":"https://pith.science/pith/NTJNJACZLGUL7A22WDZ5ZDCARV/bundle.json","state":"https://pith.science/pith/NTJNJACZLGUL7A22WDZ5ZDCARV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NTJNJACZLGUL7A22WDZ5ZDCARV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:NTJNJACZLGUL7A22WDZ5ZDCARV","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":"939fe5840dc61a8570898f475c5da59868b9771be4eb40d6079df480609f452c","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2019-08-18T14:26:59Z","title_canon_sha256":"fe8738962cbb0577f5cf0ae7b6f1ab6129198897d86dedfd81fa3ad70eb92352"},"schema_version":"1.0","source":{"id":"1908.06969","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.06969","created_at":"2026-07-05T02:15:21Z"},{"alias_kind":"arxiv_version","alias_value":"1908.06969v2","created_at":"2026-07-05T02:15:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.06969","created_at":"2026-07-05T02:15:21Z"},{"alias_kind":"pith_short_12","alias_value":"NTJNJACZLGUL","created_at":"2026-07-05T02:15:21Z"},{"alias_kind":"pith_short_16","alias_value":"NTJNJACZLGUL7A22","created_at":"2026-07-05T02:15:21Z"},{"alias_kind":"pith_short_8","alias_value":"NTJNJACZ","created_at":"2026-07-05T02:15:21Z"}],"graph_snapshots":[{"event_id":"sha256:5aa28582cca1236a6dcd0916b3bc25144a345bd9e1385e8a62044dd22572cf1c","target":"graph","created_at":"2026-07-05T02:15:21Z","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/1908.06969/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Most work on musical score models (a.k.a. musical language models) for music transcription has focused on describing the local sequential dependence of notes in musical scores and failed to capture their global repetitive structure, which can be a useful guide for transcribing music. Focusing on rhythm, we formulate several classes of Bayesian Markov models of musical scores that describe repetitions indirectly using the sparse transition probabilities of notes or note patterns. This enables us to construct piece-specific models for unseen scores with an unfixed repetitive structure and to der","authors_text":"Eita Nakamura, Kazuyoshi Yoshii","cross_cats":["cs.AI","cs.LG","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2019-08-18T14:26:59Z","title":"Musical Rhythm Transcription Based on Bayesian Piece-Specific Score Models Capturing Repetitions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.06969","kind":"arxiv","version":2},"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:bae548c09dec73bdc3301e702feb9e6aac581a5e91fb3bfb27e38da3a7864fa1","target":"record","created_at":"2026-07-05T02:15:21Z","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":"939fe5840dc61a8570898f475c5da59868b9771be4eb40d6079df480609f452c","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2019-08-18T14:26:59Z","title_canon_sha256":"fe8738962cbb0577f5cf0ae7b6f1ab6129198897d86dedfd81fa3ad70eb92352"},"schema_version":"1.0","source":{"id":"1908.06969","kind":"arxiv","version":2}},"canonical_sha256":"6cd2d4805959a8bf835ab0f3dc8c408d46813537d53f8130188ae0f22dc38404","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6cd2d4805959a8bf835ab0f3dc8c408d46813537d53f8130188ae0f22dc38404","first_computed_at":"2026-07-05T02:15:21.424630Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:15:21.424630Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gtfSAC2wTnwKboibPbfHj+Dc5oDNBiRLcuWd1enFDF7M0uAb8O3WeP0/0WcKq2HfdhnPzAe4IC48L0Lky5waDA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:15:21.425117Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.06969","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bae548c09dec73bdc3301e702feb9e6aac581a5e91fb3bfb27e38da3a7864fa1","sha256:5aa28582cca1236a6dcd0916b3bc25144a345bd9e1385e8a62044dd22572cf1c"],"state_sha256":"d7c306d32ee54c9ce9643faaf5c78657d19c3c6df9e2166d22895cc1fe431d4d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VXSoO8WbwaM2zCegUt0rgdShNdshdUQYGqbDGovsK8rWhAN0h5g46S1oRYym6M7h86XSYmt7NohnUkH1JFXSBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T18:11:19.330036Z","bundle_sha256":"08398c43dd530fe3558d8c446cf8c89d9f515e230fbdf8c1a8806cd782832167"}}