{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:A3JUA4UN2VC3EIMHWNNN66O34O","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":"18700a014adf622068782fa41cf2285d05b88c7cb1da86165d46d1a3cb53af3b","cross_cats_sorted":["cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-03-28T19:56:47Z","title_canon_sha256":"fb440befb2e5d61d8d16a2912e89541f190a8aaa85c1c22c9914c0afd0139ae9"},"schema_version":"1.0","source":{"id":"1703.09772","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.09772","created_at":"2026-05-18T00:46:55Z"},{"alias_kind":"arxiv_version","alias_value":"1703.09772v1","created_at":"2026-05-18T00:46:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.09772","created_at":"2026-05-18T00:46:55Z"},{"alias_kind":"pith_short_12","alias_value":"A3JUA4UN2VC3","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_16","alias_value":"A3JUA4UN2VC3EIMH","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_8","alias_value":"A3JUA4UN","created_at":"2026-05-18T12:31:05Z"}],"graph_snapshots":[{"event_id":"sha256:05470e01c266f1211cdcd0c0c7562c1e43006123e3ed3fe336e3ad115c3a67e2","target":"graph","created_at":"2026-05-18T00:46:55Z","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":"Automatic Music Transcription (AMT) consists in automatically estimating the notes in an audio recording, through three attributes: onset time, duration and pitch. Probabilistic Latent Component Analysis (PLCA) has become very popular for this task. PLCA is a spectrogram factorization method, able to model a magnitude spectrogram as a linear combination of spectral vectors from a dictionary. Such methods use the Expectation-Maximization (EM) algorithm to estimate the parameters of the acoustic model. This algorithm presents well-known inherent defaults (local convergence, initialization depend","authors_text":"D. Cazau, G. Revillon, O. Adam, W. Yuancheng","cross_cats":["cs.LG","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-03-28T19:56:47Z","title":"Particle Filtering for PLCA model with Application to Music Transcription"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.09772","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":"sha256:4cc1d0efacbe982fb8522b1e2be6d542493374c5ca2c91eee5e27aa0ac4c21fc","target":"record","created_at":"2026-05-18T00:46:55Z","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":"18700a014adf622068782fa41cf2285d05b88c7cb1da86165d46d1a3cb53af3b","cross_cats_sorted":["cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-03-28T19:56:47Z","title_canon_sha256":"fb440befb2e5d61d8d16a2912e89541f190a8aaa85c1c22c9914c0afd0139ae9"},"schema_version":"1.0","source":{"id":"1703.09772","kind":"arxiv","version":1}},"canonical_sha256":"06d340728dd545b22187b35adf79dbe390f9251e11006a2311b01a81c412f9c1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"06d340728dd545b22187b35adf79dbe390f9251e11006a2311b01a81c412f9c1","first_computed_at":"2026-05-18T00:46:55.010013Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:46:55.010013Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"auvmCp4uAU7JhpKzGzeM5kQYrXUj34nL9HbZMK4rxWAK05xVmPAGcfd7PHQAw5dMwQGl2kacoDy0QXKdOhuiBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:46:55.010639Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.09772","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4cc1d0efacbe982fb8522b1e2be6d542493374c5ca2c91eee5e27aa0ac4c21fc","sha256:05470e01c266f1211cdcd0c0c7562c1e43006123e3ed3fe336e3ad115c3a67e2"],"state_sha256":"619fffa078e52a0b03063c03f791e59ee1f690170ac7fff7fda8fd54d97185e2"}