{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:2VVSSEAIARYR3NKMQ6L24YKAGF","short_pith_number":"pith:2VVSSEAI","schema_version":"1.0","canonical_sha256":"d56b29100804711db54c8797ae6140317a2794b8e52465f2020b17273494863e","source":{"kind":"arxiv","id":"2307.08501","version":1},"attestation_state":"computed","paper":{"title":"Corticomorphic Hybrid CNN-SNN Architecture for EEG-based Low-footprint Low-latency Auditory Attention Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SD","eess.AS"],"primary_cat":"eess.SP","authors_text":"Deniz Erdogmus, Deniz Kocanaogullari, Murat Akcakaya, Rajkumar Kubendran, Richard Gall","submitted_at":"2023-07-13T20:33:39Z","abstract_excerpt":"In a multi-speaker \"cocktail party\" scenario, a listener can selectively attend to a speaker of interest. Studies into the human auditory attention network demonstrate cortical entrainment to speech envelopes resulting in highly correlated Electroencephalography (EEG) measurements. Current trends in EEG-based auditory attention detection (AAD) using artificial neural networks (ANN) are not practical for edge-computing platforms due to longer decision windows using several EEG channels, with higher power consumption and larger memory footprint requirements. Nor are ANNs capable of accurately mo"},"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":"2307.08501","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2023-07-13T20:33:39Z","cross_cats_sorted":["cs.LG","cs.SD","eess.AS"],"title_canon_sha256":"f92e4dd48978a1fcf71b6f03f07e4476f13c33ca361344b848d3a1c7006d91c1","abstract_canon_sha256":"c6d50753c6ad703a3f38ae4ad30127bf5754e7217e241aa52cc8c0286441b5dc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:31:25.333494Z","signature_b64":"fMTb6KfKY4S00OV1O9GBV7D1/x3Xrs+cxcAeWkNZBcn1qtmEn2svSRHG8Isec3fQOpcbeGUSvOehUloxLIGDAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d56b29100804711db54c8797ae6140317a2794b8e52465f2020b17273494863e","last_reissued_at":"2026-07-05T06:31:25.333042Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:31:25.333042Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Corticomorphic Hybrid CNN-SNN Architecture for EEG-based Low-footprint Low-latency Auditory Attention Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SD","eess.AS"],"primary_cat":"eess.SP","authors_text":"Deniz Erdogmus, Deniz Kocanaogullari, Murat Akcakaya, Rajkumar Kubendran, Richard Gall","submitted_at":"2023-07-13T20:33:39Z","abstract_excerpt":"In a multi-speaker \"cocktail party\" scenario, a listener can selectively attend to a speaker of interest. Studies into the human auditory attention network demonstrate cortical entrainment to speech envelopes resulting in highly correlated Electroencephalography (EEG) measurements. Current trends in EEG-based auditory attention detection (AAD) using artificial neural networks (ANN) are not practical for edge-computing platforms due to longer decision windows using several EEG channels, with higher power consumption and larger memory footprint requirements. Nor are ANNs capable of accurately mo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.08501","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/2307.08501/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":"2307.08501","created_at":"2026-07-05T06:31:25.333103+00:00"},{"alias_kind":"arxiv_version","alias_value":"2307.08501v1","created_at":"2026-07-05T06:31:25.333103+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.08501","created_at":"2026-07-05T06:31:25.333103+00:00"},{"alias_kind":"pith_short_12","alias_value":"2VVSSEAIARYR","created_at":"2026-07-05T06:31:25.333103+00:00"},{"alias_kind":"pith_short_16","alias_value":"2VVSSEAIARYR3NKM","created_at":"2026-07-05T06:31:25.333103+00:00"},{"alias_kind":"pith_short_8","alias_value":"2VVSSEAI","created_at":"2026-07-05T06:31:25.333103+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/2VVSSEAIARYR3NKMQ6L24YKAGF","json":"https://pith.science/pith/2VVSSEAIARYR3NKMQ6L24YKAGF.json","graph_json":"https://pith.science/api/pith-number/2VVSSEAIARYR3NKMQ6L24YKAGF/graph.json","events_json":"https://pith.science/api/pith-number/2VVSSEAIARYR3NKMQ6L24YKAGF/events.json","paper":"https://pith.science/paper/2VVSSEAI"},"agent_actions":{"view_html":"https://pith.science/pith/2VVSSEAIARYR3NKMQ6L24YKAGF","download_json":"https://pith.science/pith/2VVSSEAIARYR3NKMQ6L24YKAGF.json","view_paper":"https://pith.science/paper/2VVSSEAI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2307.08501&json=true","fetch_graph":"https://pith.science/api/pith-number/2VVSSEAIARYR3NKMQ6L24YKAGF/graph.json","fetch_events":"https://pith.science/api/pith-number/2VVSSEAIARYR3NKMQ6L24YKAGF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2VVSSEAIARYR3NKMQ6L24YKAGF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2VVSSEAIARYR3NKMQ6L24YKAGF/action/storage_attestation","attest_author":"https://pith.science/pith/2VVSSEAIARYR3NKMQ6L24YKAGF/action/author_attestation","sign_citation":"https://pith.science/pith/2VVSSEAIARYR3NKMQ6L24YKAGF/action/citation_signature","submit_replication":"https://pith.science/pith/2VVSSEAIARYR3NKMQ6L24YKAGF/action/replication_record"}},"created_at":"2026-07-05T06:31:25.333103+00:00","updated_at":"2026-07-05T06:31:25.333103+00:00"}