{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:UOF65GHZMPUI4CIXRUNB54ONJ3","short_pith_number":"pith:UOF65GHZ","canonical_record":{"source":{"id":"2406.15249","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-06-20T03:48:15Z","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"title_canon_sha256":"d9ce424b83457daff1e1ae991b76e3c0f11623343401b2d90140037f53f0c713","abstract_canon_sha256":"6519d31c1ab0ba91c9ea5ac100aab60fffbd213f6ab39c9c89192840fbbe2032"},"schema_version":"1.0"},"canonical_sha256":"a38bee98f963e88e09178d1a1ef1cd4ec58fe2618d63957d13495dfbec988d27","source":{"kind":"arxiv","id":"2406.15249","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.15249","created_at":"2026-07-05T08:35:16Z"},{"alias_kind":"arxiv_version","alias_value":"2406.15249v1","created_at":"2026-07-05T08:35:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.15249","created_at":"2026-07-05T08:35:16Z"},{"alias_kind":"pith_short_12","alias_value":"UOF65GHZMPUI","created_at":"2026-07-05T08:35:16Z"},{"alias_kind":"pith_short_16","alias_value":"UOF65GHZMPUI4CIX","created_at":"2026-07-05T08:35:16Z"},{"alias_kind":"pith_short_8","alias_value":"UOF65GHZ","created_at":"2026-07-05T08:35:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:UOF65GHZMPUI4CIXRUNB54ONJ3","target":"record","payload":{"canonical_record":{"source":{"id":"2406.15249","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-06-20T03:48:15Z","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"title_canon_sha256":"d9ce424b83457daff1e1ae991b76e3c0f11623343401b2d90140037f53f0c713","abstract_canon_sha256":"6519d31c1ab0ba91c9ea5ac100aab60fffbd213f6ab39c9c89192840fbbe2032"},"schema_version":"1.0"},"canonical_sha256":"a38bee98f963e88e09178d1a1ef1cd4ec58fe2618d63957d13495dfbec988d27","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:35:16.018571Z","signature_b64":"4WY4ZZTBiYgMcsxDSbOy5zVCOVf3cqRyI4kckVXyW5nNdjD1Eqb1LO7xPszfFtZYfweDm4Hepuj3ADt3QblNAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a38bee98f963e88e09178d1a1ef1cd4ec58fe2618d63957d13495dfbec988d27","last_reissued_at":"2026-07-05T08:35:16.018183Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:35:16.018183Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.15249","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":"2026-07-05T08:35:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JZ7sh2XzwmGA7UlIVycqIqDI3cymZxoRCyv/U/6SNlFmzQP5BWj6dqiiJBIdOizaUT3+xDr0RbO2TC9L/bf3Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T11:10:46.491161Z"},"content_sha256":"3c6ab40040ad899dc9d4843101c8527c570c8f7a691e4ea5719c8927499c1c1d","schema_version":"1.0","event_id":"sha256:3c6ab40040ad899dc9d4843101c8527c570c8f7a691e4ea5719c8927499c1c1d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:UOF65GHZMPUI4CIXRUNB54ONJ3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Machine Learning Techniques in Automatic Music Transcription: A Systematic Survey","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"Amit Das, Fatemeh Jamshidi, Gary Pike, Richard Chapman","submitted_at":"2024-06-20T03:48:15Z","abstract_excerpt":"In the domain of Music Information Retrieval (MIR), Automatic Music Transcription (AMT) emerges as a central challenge, aiming to convert audio signals into symbolic notations like musical notes or sheet music. This systematic review accentuates the pivotal role of AMT in music signal analysis, emphasizing its importance due to the intricate and overlapping spectral structure of musical harmonies. Through a thorough examination of existing machine learning techniques utilized in AMT, we explore the progress and constraints of current models and methodologies. Despite notable advancements, AMT "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.15249","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/2406.15249/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":"2026-07-05T08:35:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fvdW8qg+wsIhG7INu7bT0lffHHBMpK1zpqdaH3fbgZ2dtDNPZARONKMJiog7jbacwAdARmBylgvjakL2psqGDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T11:10:46.491661Z"},"content_sha256":"b558c25a12c26f949cec5e005d328e2f3252d3987f9765c5afef732927f5919f","schema_version":"1.0","event_id":"sha256:b558c25a12c26f949cec5e005d328e2f3252d3987f9765c5afef732927f5919f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UOF65GHZMPUI4CIXRUNB54ONJ3/bundle.json","state_url":"https://pith.science/pith/UOF65GHZMPUI4CIXRUNB54ONJ3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UOF65GHZMPUI4CIXRUNB54ONJ3/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":"2026-08-08T11:10:46Z","links":{"resolver":"https://pith.science/pith/UOF65GHZMPUI4CIXRUNB54ONJ3","bundle":"https://pith.science/pith/UOF65GHZMPUI4CIXRUNB54ONJ3/bundle.json","state":"https://pith.science/pith/UOF65GHZMPUI4CIXRUNB54ONJ3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UOF65GHZMPUI4CIXRUNB54ONJ3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:UOF65GHZMPUI4CIXRUNB54ONJ3","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":"6519d31c1ab0ba91c9ea5ac100aab60fffbd213f6ab39c9c89192840fbbe2032","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-06-20T03:48:15Z","title_canon_sha256":"d9ce424b83457daff1e1ae991b76e3c0f11623343401b2d90140037f53f0c713"},"schema_version":"1.0","source":{"id":"2406.15249","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.15249","created_at":"2026-07-05T08:35:16Z"},{"alias_kind":"arxiv_version","alias_value":"2406.15249v1","created_at":"2026-07-05T08:35:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.15249","created_at":"2026-07-05T08:35:16Z"},{"alias_kind":"pith_short_12","alias_value":"UOF65GHZMPUI","created_at":"2026-07-05T08:35:16Z"},{"alias_kind":"pith_short_16","alias_value":"UOF65GHZMPUI4CIX","created_at":"2026-07-05T08:35:16Z"},{"alias_kind":"pith_short_8","alias_value":"UOF65GHZ","created_at":"2026-07-05T08:35:16Z"}],"graph_snapshots":[{"event_id":"sha256:b558c25a12c26f949cec5e005d328e2f3252d3987f9765c5afef732927f5919f","target":"graph","created_at":"2026-07-05T08:35:16Z","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/2406.15249/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the domain of Music Information Retrieval (MIR), Automatic Music Transcription (AMT) emerges as a central challenge, aiming to convert audio signals into symbolic notations like musical notes or sheet music. This systematic review accentuates the pivotal role of AMT in music signal analysis, emphasizing its importance due to the intricate and overlapping spectral structure of musical harmonies. Through a thorough examination of existing machine learning techniques utilized in AMT, we explore the progress and constraints of current models and methodologies. Despite notable advancements, AMT ","authors_text":"Amit Das, Fatemeh Jamshidi, Gary Pike, Richard Chapman","cross_cats":["cs.AI","cs.LG","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-06-20T03:48:15Z","title":"Machine Learning Techniques in Automatic Music Transcription: A Systematic Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.15249","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":"sha256:3c6ab40040ad899dc9d4843101c8527c570c8f7a691e4ea5719c8927499c1c1d","target":"record","created_at":"2026-07-05T08:35:16Z","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":"6519d31c1ab0ba91c9ea5ac100aab60fffbd213f6ab39c9c89192840fbbe2032","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-06-20T03:48:15Z","title_canon_sha256":"d9ce424b83457daff1e1ae991b76e3c0f11623343401b2d90140037f53f0c713"},"schema_version":"1.0","source":{"id":"2406.15249","kind":"arxiv","version":1}},"canonical_sha256":"a38bee98f963e88e09178d1a1ef1cd4ec58fe2618d63957d13495dfbec988d27","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a38bee98f963e88e09178d1a1ef1cd4ec58fe2618d63957d13495dfbec988d27","first_computed_at":"2026-07-05T08:35:16.018183Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:35:16.018183Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4WY4ZZTBiYgMcsxDSbOy5zVCOVf3cqRyI4kckVXyW5nNdjD1Eqb1LO7xPszfFtZYfweDm4Hepuj3ADt3QblNAw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:35:16.018571Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.15249","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3c6ab40040ad899dc9d4843101c8527c570c8f7a691e4ea5719c8927499c1c1d","sha256:b558c25a12c26f949cec5e005d328e2f3252d3987f9765c5afef732927f5919f"],"state_sha256":"88598c73a349eaf0db95b31ae1a5da15f6d7a039e384a73ae50ca555ea9a1a6a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EF3HQdA2NO5zFoIkJZjaaktJ8O6icRQoWqKUZbQ/5oiXU8Wkm4A64CmCEngiDu6mz/S8uvOOBa2PIwBWdiE4BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T11:10:46.496557Z","bundle_sha256":"801fbd1c7f4edca95c124affb54c71bed5293817a81b918e6fed42b9023ff07a"}}