{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:54SWWHJY5F72J5TDSPLACAYTN6","short_pith_number":"pith:54SWWHJY","canonical_record":{"source":{"id":"1812.01278","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-12-04T08:47:41Z","cross_cats_sorted":["cs.AI","cs.LG","eess.AS","stat.ML"],"title_canon_sha256":"4946cc63a23000ad6a2f05029e2723241ddbcaa5ecfde87db1c8d7c2c939f37a","abstract_canon_sha256":"9f0d042427849ef13104f541abadecedfcfc1f45e18c4cf7fda2a5b58768100b"},"schema_version":"1.0"},"canonical_sha256":"ef256b1d38e97fa4f66393d60103136f9a8ff3ef7c28402cf7f8446b4ad2ac42","source":{"kind":"arxiv","id":"1812.01278","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.01278","created_at":"2026-05-17T23:59:12Z"},{"alias_kind":"arxiv_version","alias_value":"1812.01278v1","created_at":"2026-05-17T23:59:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.01278","created_at":"2026-05-17T23:59:12Z"},{"alias_kind":"pith_short_12","alias_value":"54SWWHJY5F72","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_16","alias_value":"54SWWHJY5F72J5TD","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_8","alias_value":"54SWWHJY","created_at":"2026-05-18T12:32:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:54SWWHJY5F72J5TDSPLACAYTN6","target":"record","payload":{"canonical_record":{"source":{"id":"1812.01278","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-12-04T08:47:41Z","cross_cats_sorted":["cs.AI","cs.LG","eess.AS","stat.ML"],"title_canon_sha256":"4946cc63a23000ad6a2f05029e2723241ddbcaa5ecfde87db1c8d7c2c939f37a","abstract_canon_sha256":"9f0d042427849ef13104f541abadecedfcfc1f45e18c4cf7fda2a5b58768100b"},"schema_version":"1.0"},"canonical_sha256":"ef256b1d38e97fa4f66393d60103136f9a8ff3ef7c28402cf7f8446b4ad2ac42","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:59:12.900744Z","signature_b64":"QNjSJ238/ttzed3mLiC7mLqSI9JmcoIN8+2v1ymRLhHRbPKPmDl+oCMqCn2CjCKlf5/tyR2p+pA3w4XhFCbFAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ef256b1d38e97fa4f66393d60103136f9a8ff3ef7c28402cf7f8446b4ad2ac42","last_reissued_at":"2026-05-17T23:59:12.900322Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:59:12.900322Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1812.01278","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":"2026-05-17T23:59:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MpMja8nbLnDX5k0ChO8Ep4pPey8ZPBQZrSktBsnj5MssXvaqfgbFKNBrvxI4csUmzDhXbsRYpoQXcspfYjuaDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T01:01:08.990680Z"},"content_sha256":"d8aa4e007475df9b19a6776d80a3827da4e0187290a6c6f7c6724c6f6808f092","schema_version":"1.0","event_id":"sha256:d8aa4e007475df9b19a6776d80a3827da4e0187290a6c6f7c6724c6f6808f092"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:54SWWHJY5F72J5TDSPLACAYTN6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Singing Voice Separation Using a Deep Convolutional Neural Network Trained by Ideal Binary Mask and Cross Entropy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG","eess.AS","stat.ML"],"primary_cat":"cs.SD","authors_text":"Balamurali B.T., Dorien Herremans, Enyan Koh, Kin Wah Edward Lin, Simon Lui","submitted_at":"2018-12-04T08:47:41Z","abstract_excerpt":"Separating a singing voice from its music accompaniment remains an important challenge in the field of music information retrieval. We present a unique neural network approach inspired by a technique that has revolutionized the field of vision: pixel-wise image classification, which we combine with cross entropy loss and pretraining of the CNN as an autoencoder on singing voice spectrograms. The pixel-wise classification technique directly estimates the sound source label for each time-frequency (T-F) bin in our spectrogram image, thus eliminating common pre- and postprocessing tasks. The prop"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.01278","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":""},"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":"2026-05-17T23:59:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mnAfNdf6erR4MKruVVgcMPTA1n+scJRhTmbt916GW+tUIjzBZ0g0zzJ2j4GsXvkI5Nksw9SxlI/BItF8y/bDDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T01:01:08.991418Z"},"content_sha256":"de28ff0e7204c25ebc77a7ede6af8c5d784b5b7df2d2b52df316ef4e833d0d78","schema_version":"1.0","event_id":"sha256:de28ff0e7204c25ebc77a7ede6af8c5d784b5b7df2d2b52df316ef4e833d0d78"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/54SWWHJY5F72J5TDSPLACAYTN6/bundle.json","state_url":"https://pith.science/pith/54SWWHJY5F72J5TDSPLACAYTN6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/54SWWHJY5F72J5TDSPLACAYTN6/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":"2026-06-11T01:01:08Z","links":{"resolver":"https://pith.science/pith/54SWWHJY5F72J5TDSPLACAYTN6","bundle":"https://pith.science/pith/54SWWHJY5F72J5TDSPLACAYTN6/bundle.json","state":"https://pith.science/pith/54SWWHJY5F72J5TDSPLACAYTN6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/54SWWHJY5F72J5TDSPLACAYTN6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:54SWWHJY5F72J5TDSPLACAYTN6","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":"9f0d042427849ef13104f541abadecedfcfc1f45e18c4cf7fda2a5b58768100b","cross_cats_sorted":["cs.AI","cs.LG","eess.AS","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-12-04T08:47:41Z","title_canon_sha256":"4946cc63a23000ad6a2f05029e2723241ddbcaa5ecfde87db1c8d7c2c939f37a"},"schema_version":"1.0","source":{"id":"1812.01278","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.01278","created_at":"2026-05-17T23:59:12Z"},{"alias_kind":"arxiv_version","alias_value":"1812.01278v1","created_at":"2026-05-17T23:59:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.01278","created_at":"2026-05-17T23:59:12Z"},{"alias_kind":"pith_short_12","alias_value":"54SWWHJY5F72","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_16","alias_value":"54SWWHJY5F72J5TD","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_8","alias_value":"54SWWHJY","created_at":"2026-05-18T12:32:05Z"}],"graph_snapshots":[{"event_id":"sha256:de28ff0e7204c25ebc77a7ede6af8c5d784b5b7df2d2b52df316ef4e833d0d78","target":"graph","created_at":"2026-05-17T23:59:12Z","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":"Separating a singing voice from its music accompaniment remains an important challenge in the field of music information retrieval. We present a unique neural network approach inspired by a technique that has revolutionized the field of vision: pixel-wise image classification, which we combine with cross entropy loss and pretraining of the CNN as an autoencoder on singing voice spectrograms. The pixel-wise classification technique directly estimates the sound source label for each time-frequency (T-F) bin in our spectrogram image, thus eliminating common pre- and postprocessing tasks. The prop","authors_text":"Balamurali B.T., Dorien Herremans, Enyan Koh, Kin Wah Edward Lin, Simon Lui","cross_cats":["cs.AI","cs.LG","eess.AS","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-12-04T08:47:41Z","title":"Singing Voice Separation Using a Deep Convolutional Neural Network Trained by Ideal Binary Mask and Cross Entropy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.01278","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:d8aa4e007475df9b19a6776d80a3827da4e0187290a6c6f7c6724c6f6808f092","target":"record","created_at":"2026-05-17T23:59:12Z","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":"9f0d042427849ef13104f541abadecedfcfc1f45e18c4cf7fda2a5b58768100b","cross_cats_sorted":["cs.AI","cs.LG","eess.AS","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-12-04T08:47:41Z","title_canon_sha256":"4946cc63a23000ad6a2f05029e2723241ddbcaa5ecfde87db1c8d7c2c939f37a"},"schema_version":"1.0","source":{"id":"1812.01278","kind":"arxiv","version":1}},"canonical_sha256":"ef256b1d38e97fa4f66393d60103136f9a8ff3ef7c28402cf7f8446b4ad2ac42","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ef256b1d38e97fa4f66393d60103136f9a8ff3ef7c28402cf7f8446b4ad2ac42","first_computed_at":"2026-05-17T23:59:12.900322Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:59:12.900322Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QNjSJ238/ttzed3mLiC7mLqSI9JmcoIN8+2v1ymRLhHRbPKPmDl+oCMqCn2CjCKlf5/tyR2p+pA3w4XhFCbFAg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:59:12.900744Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.01278","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d8aa4e007475df9b19a6776d80a3827da4e0187290a6c6f7c6724c6f6808f092","sha256:de28ff0e7204c25ebc77a7ede6af8c5d784b5b7df2d2b52df316ef4e833d0d78"],"state_sha256":"216a38e9febceecb8c319d781d1f9ccb1490fd885837b18618d375db8ad54af1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+pGHE4mNi2+wNP1dIJDIT4lc3tpiNJZZgdYBwa696pkSM1aHmSDEXIoLPgqmncfqCLkJ/mOTQ8xE/Tp25TaBBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T01:01:08.995335Z","bundle_sha256":"1e2d9764f3a5e8253abc98b885e125d523c7b1a19e9e7ab20e1f9872b5648044"}}