{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:FLDKK7ULLR2TCI6B6VUJ33GVEH","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":"bce9af31d02fcdf64513f767ccc8cb493bfd5bc86958ea271e45c650b2348784","cross_cats_sorted":["cs.LG","cs.MM","eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2020-01-28T06:43:21Z","title_canon_sha256":"83d2e3335b0fdf2a31811c9cf4d2d1a2ee66af01e59a6e95e839049225e42abe"},"schema_version":"1.0","source":{"id":"2001.10190","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.10190","created_at":"2026-07-05T05:21:38Z"},{"alias_kind":"arxiv_version","alias_value":"2001.10190v1","created_at":"2026-07-05T05:21:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.10190","created_at":"2026-07-05T05:21:38Z"},{"alias_kind":"pith_short_12","alias_value":"FLDKK7ULLR2T","created_at":"2026-07-05T05:21:38Z"},{"alias_kind":"pith_short_16","alias_value":"FLDKK7ULLR2TCI6B","created_at":"2026-07-05T05:21:38Z"},{"alias_kind":"pith_short_8","alias_value":"FLDKK7UL","created_at":"2026-07-05T05:21:38Z"}],"graph_snapshots":[{"event_id":"sha256:0943f5163e994cfe4e6256d2d8a0a1dd3ba42cf2cfaaf75e615082c268837311","target":"graph","created_at":"2026-07-05T05:21:38Z","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/2001.10190/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a time-domain audio source separation method using down-sampling (DS) and up-sampling (US) layers based on a discrete wavelet transform (DWT). The proposed method is based on one of the state-of-the-art deep neural networks, Wave-U-Net, which successively down-samples and up-samples feature maps. We find that this architecture resembles that of multiresolution analysis, and reveal that the DS layers of Wave-U-Net cause aliasing and may discard information useful for the separation. Although the effects of these problems may be reduced by training, to achieve a more reliable source s","authors_text":"Hiroshi Saruwatari, Tomohiko Nakamura","cross_cats":["cs.LG","cs.MM","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2020-01-28T06:43:21Z","title":"Time-Domain Audio Source Separation Based on Wave-U-Net Combined with Discrete Wavelet Transform"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.10190","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":"sha256:37b72aeaf23c6098f8e123456158fe49a791c4c4679970d2c2f81ecabf13bf14","target":"record","created_at":"2026-07-05T05:21:38Z","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":"bce9af31d02fcdf64513f767ccc8cb493bfd5bc86958ea271e45c650b2348784","cross_cats_sorted":["cs.LG","cs.MM","eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2020-01-28T06:43:21Z","title_canon_sha256":"83d2e3335b0fdf2a31811c9cf4d2d1a2ee66af01e59a6e95e839049225e42abe"},"schema_version":"1.0","source":{"id":"2001.10190","kind":"arxiv","version":1}},"canonical_sha256":"2ac6a57e8b5c753123c1f5689decd521d2558e4c69630e21fe1557ea0454d6bb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2ac6a57e8b5c753123c1f5689decd521d2558e4c69630e21fe1557ea0454d6bb","first_computed_at":"2026-07-05T05:21:38.826828Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:21:38.826828Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3Uu0EDihNVe8B0Sk3MRbbOM0tPAebZkeSqeIjcaZ+EWaPRt5qjLMmCkSTOP17meQOW3p3YJFGW28E9mUAC26Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:21:38.827187Z","signed_message":"canonical_sha256_bytes"},"source_id":"2001.10190","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:37b72aeaf23c6098f8e123456158fe49a791c4c4679970d2c2f81ecabf13bf14","sha256:0943f5163e994cfe4e6256d2d8a0a1dd3ba42cf2cfaaf75e615082c268837311"],"state_sha256":"fca23226f59e16cf55d5610e91737de12ccf4ca6655f3d29e4b649face0df5b7"}