{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:3CKOYACSXWRNQZ2UV4BOCRFTWK","short_pith_number":"pith:3CKOYACS","schema_version":"1.0","canonical_sha256":"d894ec0052bda2d86754af02e144b3b2ac61f1eac62a73df295e3d06ed044193","source":{"kind":"arxiv","id":"2607.17165","version":1},"attestation_state":"computed","paper":{"title":"Adaptive Momentum Enhanced Distributed Multichannel Active Noise Control for Faster Convergence under Communication Delays","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"eess.AS","authors_text":"Boxiang Wang, Haowen Li, Junwei Ji, Woon-Seng Gan, Ziyi Yang","submitted_at":"2026-07-19T09:56:24Z","abstract_excerpt":"Distributed multichannel active noise control (DMCANC) reduces the computational burden of centralized ANC systems by distributing processing tasks across multiple nodes, while requiring information exchange to achieve satisfactory global noise reduction. To improve robustness under communication delays, the auto-shrink step size mixed-gradients filtered reference LMS (ASSS-MGDFxLMS) algorithm has been proposed. However, the reduced step size inevitably slows convergence. In this work, an adaptive momentum term is introduced to accelerate convergence, where cosine similarity is used to evaluat"},"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":"2607.17165","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2026-07-19T09:56:24Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"f87f0014081ace08fb39c037446df7ffbfeb40c076fd106515a71345d5e49cd4","abstract_canon_sha256":"d38c6337d9f7125a17f00802e7dab743ce531a3fe76024be017f78bc7d4dd47d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-21T01:21:18.893075Z","signature_b64":"YylyIDlbCYHofNofgZvk7Kxq2gSEr1+laG4awZWFRP2OwmPx1fB0Xq3i7pc1AqtymE6R57mvBtpo41/YIW2UBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d894ec0052bda2d86754af02e144b3b2ac61f1eac62a73df295e3d06ed044193","last_reissued_at":"2026-07-21T01:21:18.891699Z","signature_status":"signed_v1","first_computed_at":"2026-07-21T01:21:18.891699Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Adaptive Momentum Enhanced Distributed Multichannel Active Noise Control for Faster Convergence under Communication Delays","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"eess.AS","authors_text":"Boxiang Wang, Haowen Li, Junwei Ji, Woon-Seng Gan, Ziyi Yang","submitted_at":"2026-07-19T09:56:24Z","abstract_excerpt":"Distributed multichannel active noise control (DMCANC) reduces the computational burden of centralized ANC systems by distributing processing tasks across multiple nodes, while requiring information exchange to achieve satisfactory global noise reduction. To improve robustness under communication delays, the auto-shrink step size mixed-gradients filtered reference LMS (ASSS-MGDFxLMS) algorithm has been proposed. However, the reduced step size inevitably slows convergence. In this work, an adaptive momentum term is introduced to accelerate convergence, where cosine similarity is used to evaluat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.17165","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.17165/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":"2607.17165","created_at":"2026-07-21T01:21:18.892624+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.17165v1","created_at":"2026-07-21T01:21:18.892624+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.17165","created_at":"2026-07-21T01:21:18.892624+00:00"},{"alias_kind":"pith_short_12","alias_value":"3CKOYACSXWRN","created_at":"2026-07-21T01:21:18.892624+00:00"},{"alias_kind":"pith_short_16","alias_value":"3CKOYACSXWRNQZ2U","created_at":"2026-07-21T01:21:18.892624+00:00"},{"alias_kind":"pith_short_8","alias_value":"3CKOYACS","created_at":"2026-07-21T01:21:18.892624+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/3CKOYACSXWRNQZ2UV4BOCRFTWK","json":"https://pith.science/pith/3CKOYACSXWRNQZ2UV4BOCRFTWK.json","graph_json":"https://pith.science/api/pith-number/3CKOYACSXWRNQZ2UV4BOCRFTWK/graph.json","events_json":"https://pith.science/api/pith-number/3CKOYACSXWRNQZ2UV4BOCRFTWK/events.json","paper":"https://pith.science/paper/3CKOYACS"},"agent_actions":{"view_html":"https://pith.science/pith/3CKOYACSXWRNQZ2UV4BOCRFTWK","download_json":"https://pith.science/pith/3CKOYACSXWRNQZ2UV4BOCRFTWK.json","view_paper":"https://pith.science/paper/3CKOYACS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.17165&json=true","fetch_graph":"https://pith.science/api/pith-number/3CKOYACSXWRNQZ2UV4BOCRFTWK/graph.json","fetch_events":"https://pith.science/api/pith-number/3CKOYACSXWRNQZ2UV4BOCRFTWK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3CKOYACSXWRNQZ2UV4BOCRFTWK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3CKOYACSXWRNQZ2UV4BOCRFTWK/action/storage_attestation","attest_author":"https://pith.science/pith/3CKOYACSXWRNQZ2UV4BOCRFTWK/action/author_attestation","sign_citation":"https://pith.science/pith/3CKOYACSXWRNQZ2UV4BOCRFTWK/action/citation_signature","submit_replication":"https://pith.science/pith/3CKOYACSXWRNQZ2UV4BOCRFTWK/action/replication_record"}},"created_at":"2026-07-21T01:21:18.892624+00:00","updated_at":"2026-07-21T01:21:18.892624+00:00"}