{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:NSRMLQFHAEFEMVET5EABC22FJ2","short_pith_number":"pith:NSRMLQFH","canonical_record":{"source":{"id":"2502.11462","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-02-17T05:42:03Z","cross_cats_sorted":["cs.LG","cs.SD"],"title_canon_sha256":"e7b57e6942d3d5a94dca16c0727eb2c61982ccb4cb0593c41077e63af649427b","abstract_canon_sha256":"8a2ba2595ca35c6218f1471e58de05268dbc3a2af20a933433b263230cd82725"},"schema_version":"1.0"},"canonical_sha256":"6ca2c5c0a7010a465493e900116b454ebe5343a20da48250c1facf204ef7cee7","source":{"kind":"arxiv","id":"2502.11462","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.11462","created_at":"2026-07-05T10:15:29Z"},{"alias_kind":"arxiv_version","alias_value":"2502.11462v1","created_at":"2026-07-05T10:15:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.11462","created_at":"2026-07-05T10:15:29Z"},{"alias_kind":"pith_short_12","alias_value":"NSRMLQFHAEFE","created_at":"2026-07-05T10:15:29Z"},{"alias_kind":"pith_short_16","alias_value":"NSRMLQFHAEFEMVET","created_at":"2026-07-05T10:15:29Z"},{"alias_kind":"pith_short_8","alias_value":"NSRMLQFH","created_at":"2026-07-05T10:15:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:NSRMLQFHAEFEMVET5EABC22FJ2","target":"record","payload":{"canonical_record":{"source":{"id":"2502.11462","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-02-17T05:42:03Z","cross_cats_sorted":["cs.LG","cs.SD"],"title_canon_sha256":"e7b57e6942d3d5a94dca16c0727eb2c61982ccb4cb0593c41077e63af649427b","abstract_canon_sha256":"8a2ba2595ca35c6218f1471e58de05268dbc3a2af20a933433b263230cd82725"},"schema_version":"1.0"},"canonical_sha256":"6ca2c5c0a7010a465493e900116b454ebe5343a20da48250c1facf204ef7cee7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:15:29.169627Z","signature_b64":"aVz71N9quOSAprHFYk5aZoSR6Xtezms8xOHPOQcqKeGCmYzbowgEe0wr/BXEEE27Jcona4ItuxzWhJfx1jGQBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6ca2c5c0a7010a465493e900116b454ebe5343a20da48250c1facf204ef7cee7","last_reissued_at":"2026-07-05T10:15:29.169149Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:15:29.169149Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.11462","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":"2026-07-05T10:15:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CxyFNnxrYG/xMR1B/HvtsHYh4RseV/UwIHi+p+S//PlZQlxgwVkwhABnN9xZYkf1QzcAm906TuePJ0KAycivAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:40:32.831336Z"},"content_sha256":"2d3a0daa15abebe6420f8f3d52aeafd545a9dccc6afd866fe3e7f7d805c3d0eb","schema_version":"1.0","event_id":"sha256:2d3a0daa15abebe6420f8f3d52aeafd545a9dccc6afd866fe3e7f7d805c3d0eb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:NSRMLQFHAEFEMVET5EABC22FJ2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LMFCA-Net: A Lightweight Model for Multi-Channel Speech Enhancement with Efficient Narrow-Band and Cross-Band Attention","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","cs.SD"],"primary_cat":"eess.AS","authors_text":"Gongping Huang, Hanchen Pei, Wanqi Wang, Yaokai Zhang","submitted_at":"2025-02-17T05:42:03Z","abstract_excerpt":"Deep learning based end-to-end multi-channel speech enhancement methods have achieved impressive performance by leveraging sub-band, cross-band, and spatial information. However, these methods often demand substantial computational resources, limiting their practicality on terminal devices. This paper presents a lightweight multi-channel speech enhancement network with decoupled fully connected attention (LMFCA-Net). The proposed LMFCA-Net introduces time-axis decoupled fully-connected attention (T-FCA) and frequency-axis decoupled fully-connected attention (F-FCA) mechanisms to effectively ca"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.11462","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/2502.11462/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:15:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lJdxzd5BLOzN65HCWf1N4Hnm/bmFcI5zWVEami7icOhVpW7joc4JAE0w450x2hEYGIll2xSEeHxpDWFQ+MJjDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:40:32.831833Z"},"content_sha256":"7b1090da0a46906f50dcbea613bc3224c919e026826097fda74165b4251ccd3f","schema_version":"1.0","event_id":"sha256:7b1090da0a46906f50dcbea613bc3224c919e026826097fda74165b4251ccd3f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NSRMLQFHAEFEMVET5EABC22FJ2/bundle.json","state_url":"https://pith.science/pith/NSRMLQFHAEFEMVET5EABC22FJ2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NSRMLQFHAEFEMVET5EABC22FJ2/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":"2026-08-03T18:40:32Z","links":{"resolver":"https://pith.science/pith/NSRMLQFHAEFEMVET5EABC22FJ2","bundle":"https://pith.science/pith/NSRMLQFHAEFEMVET5EABC22FJ2/bundle.json","state":"https://pith.science/pith/NSRMLQFHAEFEMVET5EABC22FJ2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NSRMLQFHAEFEMVET5EABC22FJ2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:NSRMLQFHAEFEMVET5EABC22FJ2","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":"8a2ba2595ca35c6218f1471e58de05268dbc3a2af20a933433b263230cd82725","cross_cats_sorted":["cs.LG","cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-02-17T05:42:03Z","title_canon_sha256":"e7b57e6942d3d5a94dca16c0727eb2c61982ccb4cb0593c41077e63af649427b"},"schema_version":"1.0","source":{"id":"2502.11462","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.11462","created_at":"2026-07-05T10:15:29Z"},{"alias_kind":"arxiv_version","alias_value":"2502.11462v1","created_at":"2026-07-05T10:15:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.11462","created_at":"2026-07-05T10:15:29Z"},{"alias_kind":"pith_short_12","alias_value":"NSRMLQFHAEFE","created_at":"2026-07-05T10:15:29Z"},{"alias_kind":"pith_short_16","alias_value":"NSRMLQFHAEFEMVET","created_at":"2026-07-05T10:15:29Z"},{"alias_kind":"pith_short_8","alias_value":"NSRMLQFH","created_at":"2026-07-05T10:15:29Z"}],"graph_snapshots":[{"event_id":"sha256:7b1090da0a46906f50dcbea613bc3224c919e026826097fda74165b4251ccd3f","target":"graph","created_at":"2026-07-05T10:15:29Z","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/2502.11462/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning based end-to-end multi-channel speech enhancement methods have achieved impressive performance by leveraging sub-band, cross-band, and spatial information. However, these methods often demand substantial computational resources, limiting their practicality on terminal devices. This paper presents a lightweight multi-channel speech enhancement network with decoupled fully connected attention (LMFCA-Net). The proposed LMFCA-Net introduces time-axis decoupled fully-connected attention (T-FCA) and frequency-axis decoupled fully-connected attention (F-FCA) mechanisms to effectively ca","authors_text":"Gongping Huang, Hanchen Pei, Wanqi Wang, Yaokai Zhang","cross_cats":["cs.LG","cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-02-17T05:42:03Z","title":"LMFCA-Net: A Lightweight Model for Multi-Channel Speech Enhancement with Efficient Narrow-Band and Cross-Band Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.11462","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":"sha256:2d3a0daa15abebe6420f8f3d52aeafd545a9dccc6afd866fe3e7f7d805c3d0eb","target":"record","created_at":"2026-07-05T10:15:29Z","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":"8a2ba2595ca35c6218f1471e58de05268dbc3a2af20a933433b263230cd82725","cross_cats_sorted":["cs.LG","cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-02-17T05:42:03Z","title_canon_sha256":"e7b57e6942d3d5a94dca16c0727eb2c61982ccb4cb0593c41077e63af649427b"},"schema_version":"1.0","source":{"id":"2502.11462","kind":"arxiv","version":1}},"canonical_sha256":"6ca2c5c0a7010a465493e900116b454ebe5343a20da48250c1facf204ef7cee7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6ca2c5c0a7010a465493e900116b454ebe5343a20da48250c1facf204ef7cee7","first_computed_at":"2026-07-05T10:15:29.169149Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:15:29.169149Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aVz71N9quOSAprHFYk5aZoSR6Xtezms8xOHPOQcqKeGCmYzbowgEe0wr/BXEEE27Jcona4ItuxzWhJfx1jGQBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:15:29.169627Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.11462","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2d3a0daa15abebe6420f8f3d52aeafd545a9dccc6afd866fe3e7f7d805c3d0eb","sha256:7b1090da0a46906f50dcbea613bc3224c919e026826097fda74165b4251ccd3f"],"state_sha256":"9a30183e5a6e446e3eaaf3a776bff72e84561b4353e4653ec6e1bc62ba6adecf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ENhsz1QdjgeqTdRk/T7A2kIAB2QfPX4NhRWAH4L5y7vymHVOkdSCgVpidskhWhVEt4qO358WcIBa/ip+T2piDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T18:40:32.835784Z","bundle_sha256":"5503c3a26d82a9b751e2b83dd825dc6147359ed052485e3bfd6938030fba5f45"}}