{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:AK4TMXKOAAVPHQPXADHAT5RJLG","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":"e2dba38714173194cdc018d09489a16c04a438d53e65a98fe0bc333b1ec7c42b","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-04-06T15:33:29Z","title_canon_sha256":"f81c646bfafc9a1c0a9c5edb4d2731b9868c0984e6e39843ed4adf3c5bf84d28"},"schema_version":"1.0","source":{"id":"1804.02325","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.02325","created_at":"2026-05-18T00:19:05Z"},{"alias_kind":"arxiv_version","alias_value":"1804.02325v1","created_at":"2026-05-18T00:19:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.02325","created_at":"2026-05-18T00:19:05Z"},{"alias_kind":"pith_short_12","alias_value":"AK4TMXKOAAVP","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"AK4TMXKOAAVPHQPX","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"AK4TMXKO","created_at":"2026-05-18T12:32:13Z"}],"graph_snapshots":[{"event_id":"sha256:49eecc2987c8d83ae3e9c160c32f57e3f315fc8eea235649f12c61702337963a","target":"graph","created_at":"2026-05-18T00:19:05Z","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":"Kernel Additive Modelling (KAM) is a framework for source separation aiming to explicitly model inherent properties of sound sources to help with their identification and separation. KAM separates a given source by applying robust statistics on the selection of time-frequency bins obtained through a source-specific kernel, typically the k-NN function. Even though the parameter k appears to be key for a successful separation, little discussion on its influence or optimisation can be found in the literature. Here we propose a novel method, based on graph theory statistics, to automatically optim","authors_text":"Dan Stowell, Delia Fano Yela, Mark Sandler","cross_cats":["eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-04-06T15:33:29Z","title":"Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.02325","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:da0030f178e8a2d0d9a840f9fdc25ec26913df95577b25741c3d02c2271d5441","target":"record","created_at":"2026-05-18T00:19:05Z","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":"e2dba38714173194cdc018d09489a16c04a438d53e65a98fe0bc333b1ec7c42b","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-04-06T15:33:29Z","title_canon_sha256":"f81c646bfafc9a1c0a9c5edb4d2731b9868c0984e6e39843ed4adf3c5bf84d28"},"schema_version":"1.0","source":{"id":"1804.02325","kind":"arxiv","version":1}},"canonical_sha256":"02b9365d4e002af3c1f700ce09f629599c35f7b640875635f45df2ceb405bae7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"02b9365d4e002af3c1f700ce09f629599c35f7b640875635f45df2ceb405bae7","first_computed_at":"2026-05-18T00:19:05.213860Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:19:05.213860Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/254kXheObe8Ev4G4SVb4aCS/CcmKtRJjYZPbGy04sqImb3/cAhCeHEfh0Kr/L+TnXU7cEYDiUtbgIDMwNc0CA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:19:05.214401Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.02325","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:da0030f178e8a2d0d9a840f9fdc25ec26913df95577b25741c3d02c2271d5441","sha256:49eecc2987c8d83ae3e9c160c32f57e3f315fc8eea235649f12c61702337963a"],"state_sha256":"34dbf99ea8800ed0518c009688d4a87a8c902a416b6bf810404bc9082312d5c4"}