{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:6MKOKZLDVXORNQ6TA2LAK6LS2K","short_pith_number":"pith:6MKOKZLD","schema_version":"1.0","canonical_sha256":"f314e56563addd16c3d30696057972d2bf6275330763b32e1ec5e34e4da35909","source":{"kind":"arxiv","id":"2403.18636","version":2},"attestation_state":"computed","paper":{"title":"A Diffusion-Based Generative Equalizer for Music Restoration","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Eloi Moliner, Filip Elvander, Maija Turunen, Vesa V\\\"alim\\\"aki","submitted_at":"2024-03-27T14:41:39Z","abstract_excerpt":"This paper presents a novel approach to audio restoration, focusing on the enhancement of low-quality music recordings, and in particular historical ones. Building upon a previous algorithm called BABE, or Blind Audio Bandwidth Extension, we introduce BABE-2, which presents a series of improvements. This research broadens the concept of bandwidth extension to \\emph{generative equalization}, a novel task that, to the best of our knowledge, has not been explicitly addressed in previous studies. BABE-2 is built around an optimization algorithm utilizing priors from diffusion models, which are tra"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2403.18636","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2024-03-27T14:41:39Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"4a682a0260279776994eee91105cc7d15d2491569464bba9d7dc723138d11015","abstract_canon_sha256":"c6af06e0882f215997b208effcd59b1c016aec2aca50f5e81ff5105dc2b79e77"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:30:20.333711Z","signature_b64":"ERzd+mYqNj6jM/weAcaPUsEOUEVrYwjOYzi2NEGQIfmmslDUfzsmplvJ0zR+STgSa0ElP/qRJAv1aIWq3m1bCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f314e56563addd16c3d30696057972d2bf6275330763b32e1ec5e34e4da35909","last_reissued_at":"2026-07-05T10:30:20.332622Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:30:20.332622Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Diffusion-Based Generative Equalizer for Music Restoration","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Eloi Moliner, Filip Elvander, Maija Turunen, Vesa V\\\"alim\\\"aki","submitted_at":"2024-03-27T14:41:39Z","abstract_excerpt":"This paper presents a novel approach to audio restoration, focusing on the enhancement of low-quality music recordings, and in particular historical ones. Building upon a previous algorithm called BABE, or Blind Audio Bandwidth Extension, we introduce BABE-2, which presents a series of improvements. This research broadens the concept of bandwidth extension to \\emph{generative equalization}, a novel task that, to the best of our knowledge, has not been explicitly addressed in previous studies. BABE-2 is built around an optimization algorithm utilizing priors from diffusion models, which are tra"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.18636","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2403.18636/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2403.18636","created_at":"2026-07-05T10:30:20.332801+00:00"},{"alias_kind":"arxiv_version","alias_value":"2403.18636v2","created_at":"2026-07-05T10:30:20.332801+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.18636","created_at":"2026-07-05T10:30:20.332801+00:00"},{"alias_kind":"pith_short_12","alias_value":"6MKOKZLDVXOR","created_at":"2026-07-05T10:30:20.332801+00:00"},{"alias_kind":"pith_short_16","alias_value":"6MKOKZLDVXORNQ6T","created_at":"2026-07-05T10:30:20.332801+00:00"},{"alias_kind":"pith_short_8","alias_value":"6MKOKZLD","created_at":"2026-07-05T10:30:20.332801+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2604.17986","citing_title":"Latent Fourier Transform","ref_index":30,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/6MKOKZLDVXORNQ6TA2LAK6LS2K","json":"https://pith.science/pith/6MKOKZLDVXORNQ6TA2LAK6LS2K.json","graph_json":"https://pith.science/api/pith-number/6MKOKZLDVXORNQ6TA2LAK6LS2K/graph.json","events_json":"https://pith.science/api/pith-number/6MKOKZLDVXORNQ6TA2LAK6LS2K/events.json","paper":"https://pith.science/paper/6MKOKZLD"},"agent_actions":{"view_html":"https://pith.science/pith/6MKOKZLDVXORNQ6TA2LAK6LS2K","download_json":"https://pith.science/pith/6MKOKZLDVXORNQ6TA2LAK6LS2K.json","view_paper":"https://pith.science/paper/6MKOKZLD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2403.18636&json=true","fetch_graph":"https://pith.science/api/pith-number/6MKOKZLDVXORNQ6TA2LAK6LS2K/graph.json","fetch_events":"https://pith.science/api/pith-number/6MKOKZLDVXORNQ6TA2LAK6LS2K/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6MKOKZLDVXORNQ6TA2LAK6LS2K/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6MKOKZLDVXORNQ6TA2LAK6LS2K/action/storage_attestation","attest_author":"https://pith.science/pith/6MKOKZLDVXORNQ6TA2LAK6LS2K/action/author_attestation","sign_citation":"https://pith.science/pith/6MKOKZLDVXORNQ6TA2LAK6LS2K/action/citation_signature","submit_replication":"https://pith.science/pith/6MKOKZLDVXORNQ6TA2LAK6LS2K/action/replication_record"}},"created_at":"2026-07-05T10:30:20.332801+00:00","updated_at":"2026-07-05T10:30:20.332801+00:00"}