{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:WPPLGBDMP776XFOIOPYP4PEOU7","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":"5e26507f6ce3f5215ed2bb281ffc5753c7d386e4739b5c0acd50c1c3bbe90422","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2014-11-06T14:18:39Z","title_canon_sha256":"4d26502d33977d6cb675119e034afde35a0e6d255b318f66b7215df3587cd831"},"schema_version":"1.0","source":{"id":"1411.1623","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1411.1623","created_at":"2026-05-18T02:38:27Z"},{"alias_kind":"arxiv_version","alias_value":"1411.1623v1","created_at":"2026-05-18T02:38:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1411.1623","created_at":"2026-05-18T02:38:27Z"},{"alias_kind":"pith_short_12","alias_value":"WPPLGBDMP776","created_at":"2026-05-18T12:28:54Z"},{"alias_kind":"pith_short_16","alias_value":"WPPLGBDMP776XFOI","created_at":"2026-05-18T12:28:54Z"},{"alias_kind":"pith_short_8","alias_value":"WPPLGBDM","created_at":"2026-05-18T12:28:54Z"}],"graph_snapshots":[{"event_id":"sha256:55d9b428f68304c2a9470bb5b224537a0e27aeedb6d7aba2cce9fffcab7f61f1","target":"graph","created_at":"2026-05-18T02:38:27Z","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"},"paper":{"abstract_excerpt":"We investigate the problem of incorporating higher-level symbolic score-like information into Automatic Music Transcription (AMT) systems to improve their performance. We use recurrent neural networks (RNNs) and their variants as music language models (MLMs) and present a generative architecture for combining these models with predictions from a frame level acoustic classifier. We also compare different neural network architectures for acoustic modeling. The proposed model computes a distribution over possible output sequences given the acoustic input signal and we present an algorithm for per","authors_text":"Artur S. d'Avila Garcez, Emmanouil Benetos, Nicolas Boulanger-Lewandowski, Siddharth Sigtia, Simon Dixon, Tillman Weyde","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2014-11-06T14:18:39Z","title":"A Hybrid Recurrent Neural Network For Music Transcription"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1411.1623","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":"sha256:1f849012c9ebec79bc100c8287d119197544cd3d99347667886f7cae56b42143","target":"record","created_at":"2026-05-18T02:38:27Z","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":"5e26507f6ce3f5215ed2bb281ffc5753c7d386e4739b5c0acd50c1c3bbe90422","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2014-11-06T14:18:39Z","title_canon_sha256":"4d26502d33977d6cb675119e034afde35a0e6d255b318f66b7215df3587cd831"},"schema_version":"1.0","source":{"id":"1411.1623","kind":"arxiv","version":1}},"canonical_sha256":"b3deb3046c7fffeb95c873f0fe3c8ea7f8b2f21865e50b3a4a7be40823dfa446","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b3deb3046c7fffeb95c873f0fe3c8ea7f8b2f21865e50b3a4a7be40823dfa446","first_computed_at":"2026-05-18T02:38:27.359836Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:38:27.359836Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tJElggglgxfcfT99uCrrfFe4WPr4yrlZVCtn7/lV8YdlVVhJZ0icJuEFcxR1D8mKz21LccCnHCQLtzuUpV0nBw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:38:27.360474Z","signed_message":"canonical_sha256_bytes"},"source_id":"1411.1623","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f849012c9ebec79bc100c8287d119197544cd3d99347667886f7cae56b42143","sha256:55d9b428f68304c2a9470bb5b224537a0e27aeedb6d7aba2cce9fffcab7f61f1"],"state_sha256":"b1277b2cadf831a996998ad8fe2d97b94b2708e0dec6b06d0c62f278593042f2"}