{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:2T74QRXZEGSGMH5ITL3T5AINLS","short_pith_number":"pith:2T74QRXZ","canonical_record":{"source":{"id":"1802.00380","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2018-02-01T16:41:09Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"28157602c66fbdadfef918fa2291257a930b03dadf0eb71e41a73421ba1a4fca","abstract_canon_sha256":"2389ab6bd2aed9cd9efe34f9a6b7ba157c81035b57649e563aba6e5ff209c92b"},"schema_version":"1.0"},"canonical_sha256":"d4ffc846f921a4661fa89af73e810d5ca518ab7302cdae817bfe0a66b450999f","source":{"kind":"arxiv","id":"1802.00380","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.00380","created_at":"2026-05-18T00:24:35Z"},{"alias_kind":"arxiv_version","alias_value":"1802.00380v1","created_at":"2026-05-18T00:24:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.00380","created_at":"2026-05-18T00:24:35Z"},{"alias_kind":"pith_short_12","alias_value":"2T74QRXZEGSG","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"2T74QRXZEGSGMH5I","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"2T74QRXZ","created_at":"2026-05-18T12:32:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:2T74QRXZEGSGMH5ITL3T5AINLS","target":"record","payload":{"canonical_record":{"source":{"id":"1802.00380","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2018-02-01T16:41:09Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"28157602c66fbdadfef918fa2291257a930b03dadf0eb71e41a73421ba1a4fca","abstract_canon_sha256":"2389ab6bd2aed9cd9efe34f9a6b7ba157c81035b57649e563aba6e5ff209c92b"},"schema_version":"1.0"},"canonical_sha256":"d4ffc846f921a4661fa89af73e810d5ca518ab7302cdae817bfe0a66b450999f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:24:35.930038Z","signature_b64":"IsSzIw7U5a7WIDm4ooM3mdY4bskqQZSxbhozuYaPSel/lKetEkGHWBrzH79ytN1t+jn5gR95rwvaV+zxieOQAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d4ffc846f921a4661fa89af73e810d5ca518ab7302cdae817bfe0a66b450999f","last_reissued_at":"2026-05-18T00:24:35.929623Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:24:35.929623Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1802.00380","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":"2026-05-18T00:24:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dSgGfrTlU+fDCTa2pfLJqrAvaDbQc1zhzTjKTNF62vsfWspBkejwzrOS7vCNoVzCOGCzTa888LlzLbiBIY2FBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T06:55:55.788766Z"},"content_sha256":"830d9d657ff21716a7f4f5f24f2f3317356f1d9e20587c3ea750160dad9d9a02","schema_version":"1.0","event_id":"sha256:830d9d657ff21716a7f4f5f24f2f3317356f1d9e20587c3ea750160dad9d9a02"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:2T74QRXZEGSGMH5ITL3T5AINLS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Approximate Message Passing for Underdetermined Audio Source Separation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Turab Iqbal, Wenwu Wang","submitted_at":"2018-02-01T16:41:09Z","abstract_excerpt":"Approximate message passing (AMP) algorithms have shown great promise in sparse signal reconstruction due to their low computational requirements and fast convergence to an exact solution. Moreover, they provide a probabilistic framework that is often more intuitive than alternatives such as convex optimisation. In this paper, AMP is used for audio source separation from underdetermined instantaneous mixtures. In the time-frequency domain, it is typical to assume a priori that the sources are sparse, so we solve the corresponding sparse linear inverse problem using AMP. We present a block-base"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.00380","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":"2026-05-18T00:24:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6IlVHpVV0WJgzBR4fvq/2s7Y2PW8S66O+c11ErBtUY5qbxpIUNjG/vXtzCeTN8nP1rYDTquDGzh4omWwpILMDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T06:55:55.789443Z"},"content_sha256":"22a745418ae45a620e2b4950442a571e644aa56f6d73c63b725879edcd7b2f31","schema_version":"1.0","event_id":"sha256:22a745418ae45a620e2b4950442a571e644aa56f6d73c63b725879edcd7b2f31"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2T74QRXZEGSGMH5ITL3T5AINLS/bundle.json","state_url":"https://pith.science/pith/2T74QRXZEGSGMH5ITL3T5AINLS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2T74QRXZEGSGMH5ITL3T5AINLS/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":"2026-06-09T06:55:55Z","links":{"resolver":"https://pith.science/pith/2T74QRXZEGSGMH5ITL3T5AINLS","bundle":"https://pith.science/pith/2T74QRXZEGSGMH5ITL3T5AINLS/bundle.json","state":"https://pith.science/pith/2T74QRXZEGSGMH5ITL3T5AINLS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2T74QRXZEGSGMH5ITL3T5AINLS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:2T74QRXZEGSGMH5ITL3T5AINLS","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":"2389ab6bd2aed9cd9efe34f9a6b7ba157c81035b57649e563aba6e5ff209c92b","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2018-02-01T16:41:09Z","title_canon_sha256":"28157602c66fbdadfef918fa2291257a930b03dadf0eb71e41a73421ba1a4fca"},"schema_version":"1.0","source":{"id":"1802.00380","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.00380","created_at":"2026-05-18T00:24:35Z"},{"alias_kind":"arxiv_version","alias_value":"1802.00380v1","created_at":"2026-05-18T00:24:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.00380","created_at":"2026-05-18T00:24:35Z"},{"alias_kind":"pith_short_12","alias_value":"2T74QRXZEGSG","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"2T74QRXZEGSGMH5I","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"2T74QRXZ","created_at":"2026-05-18T12:32:02Z"}],"graph_snapshots":[{"event_id":"sha256:22a745418ae45a620e2b4950442a571e644aa56f6d73c63b725879edcd7b2f31","target":"graph","created_at":"2026-05-18T00:24:35Z","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":"Approximate message passing (AMP) algorithms have shown great promise in sparse signal reconstruction due to their low computational requirements and fast convergence to an exact solution. Moreover, they provide a probabilistic framework that is often more intuitive than alternatives such as convex optimisation. In this paper, AMP is used for audio source separation from underdetermined instantaneous mixtures. In the time-frequency domain, it is typical to assume a priori that the sources are sparse, so we solve the corresponding sparse linear inverse problem using AMP. We present a block-base","authors_text":"Turab Iqbal, Wenwu Wang","cross_cats":["eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2018-02-01T16:41:09Z","title":"Approximate Message Passing for Underdetermined Audio Source Separation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.00380","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":"sha256:830d9d657ff21716a7f4f5f24f2f3317356f1d9e20587c3ea750160dad9d9a02","target":"record","created_at":"2026-05-18T00:24:35Z","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":"2389ab6bd2aed9cd9efe34f9a6b7ba157c81035b57649e563aba6e5ff209c92b","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2018-02-01T16:41:09Z","title_canon_sha256":"28157602c66fbdadfef918fa2291257a930b03dadf0eb71e41a73421ba1a4fca"},"schema_version":"1.0","source":{"id":"1802.00380","kind":"arxiv","version":1}},"canonical_sha256":"d4ffc846f921a4661fa89af73e810d5ca518ab7302cdae817bfe0a66b450999f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d4ffc846f921a4661fa89af73e810d5ca518ab7302cdae817bfe0a66b450999f","first_computed_at":"2026-05-18T00:24:35.929623Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:24:35.929623Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IsSzIw7U5a7WIDm4ooM3mdY4bskqQZSxbhozuYaPSel/lKetEkGHWBrzH79ytN1t+jn5gR95rwvaV+zxieOQAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:24:35.930038Z","signed_message":"canonical_sha256_bytes"},"source_id":"1802.00380","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:830d9d657ff21716a7f4f5f24f2f3317356f1d9e20587c3ea750160dad9d9a02","sha256:22a745418ae45a620e2b4950442a571e644aa56f6d73c63b725879edcd7b2f31"],"state_sha256":"ec6ace076ad74085794dc7866c85221d119438c7a5b774dcb3ce2e434620bac5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GfRsC8qe+8+nWISKy4/OYQgdFssLD1sfa/5pK1yrAkq2iRlBZHzqMIIyRGVlwUHFVLmPupoerRCqPDwHZg2JBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T06:55:55.793173Z","bundle_sha256":"03ef845c77f81ab16655df36e139a546b53b741222927da830b9f97be9e77e33"}}