{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:WS6GLZYSKDPJJDUMES3OVQ2ZO4","short_pith_number":"pith:WS6GLZYS","canonical_record":{"source":{"id":"2406.13179","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2024-06-19T03:19:25Z","cross_cats_sorted":["cs.AI","cs.NE","eess.AS"],"title_canon_sha256":"99aaabdfc66a885683d9cef90d54e9f6f436a3e380ed0e975ae1de05306f0b1a","abstract_canon_sha256":"1a555949e113b19b70c4f2ec5053741cbb0803e70d7070e1c48915d10cdfc487"},"schema_version":"1.0"},"canonical_sha256":"b4bc65e71250de948e8c24b6eac359770e06734057bfaf02298673a1008a5250","source":{"kind":"arxiv","id":"2406.13179","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.13179","created_at":"2026-07-05T08:34:26Z"},{"alias_kind":"arxiv_version","alias_value":"2406.13179v1","created_at":"2026-07-05T08:34:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.13179","created_at":"2026-07-05T08:34:26Z"},{"alias_kind":"pith_short_12","alias_value":"WS6GLZYSKDPJ","created_at":"2026-07-05T08:34:26Z"},{"alias_kind":"pith_short_16","alias_value":"WS6GLZYSKDPJJDUM","created_at":"2026-07-05T08:34:26Z"},{"alias_kind":"pith_short_8","alias_value":"WS6GLZYS","created_at":"2026-07-05T08:34:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:WS6GLZYSKDPJJDUMES3OVQ2ZO4","target":"record","payload":{"canonical_record":{"source":{"id":"2406.13179","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2024-06-19T03:19:25Z","cross_cats_sorted":["cs.AI","cs.NE","eess.AS"],"title_canon_sha256":"99aaabdfc66a885683d9cef90d54e9f6f436a3e380ed0e975ae1de05306f0b1a","abstract_canon_sha256":"1a555949e113b19b70c4f2ec5053741cbb0803e70d7070e1c48915d10cdfc487"},"schema_version":"1.0"},"canonical_sha256":"b4bc65e71250de948e8c24b6eac359770e06734057bfaf02298673a1008a5250","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:34:26.330285Z","signature_b64":"L1guo0FW5enHP32s+foLBBle2SA0eqZgkcG6o+FVcjnfVkr/LGNbu8iHc1foOcnEFB+EWFFq6VS5qLoXRyC2DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b4bc65e71250de948e8c24b6eac359770e06734057bfaf02298673a1008a5250","last_reissued_at":"2026-07-05T08:34:26.329666Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:34:26.329666Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.13179","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":"2026-07-05T08:34:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wdqQOg/F3XtLCBIh9OhTV4HUg7p6rnC8WPlwCURDgjehEgEz/HaYuuqm3CsWYyfIyIbxM0hjt0AjE429ZFEaBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T13:50:13.495382Z"},"content_sha256":"7ccb247268759a11e501e4bb3ed9eb488567e432aca38cd351e9ffab3dff514f","schema_version":"1.0","event_id":"sha256:7ccb247268759a11e501e4bb3ed9eb488567e432aca38cd351e9ffab3dff514f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:WS6GLZYSKDPJJDUMES3OVQ2ZO4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.NE","eess.AS"],"primary_cat":"cs.SD","authors_text":"Dehao Zhang, Jibin Wu, Kexin Shi, Malu Zhang, Shuai Wang, Wenjie Wei, Yuchen Wang","submitted_at":"2024-06-19T03:19:25Z","abstract_excerpt":"Thanks to Deep Neural Networks (DNNs), the accuracy of Keyword Spotting (KWS) has made substantial progress. However, as KWS systems are usually implemented on edge devices, energy efficiency becomes a critical requirement besides performance. Here, we take advantage of spiking neural networks' energy efficiency and propose an end-to-end lightweight KWS model. The model consists of two innovative modules: 1) Global-Local Spiking Convolution (GLSC) module and 2) Bottleneck-PLIF module. Compared to the hand-crafted feature extraction methods, the GLSC module achieves speech feature extraction th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.13179","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/2406.13179/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":"2026-07-05T08:34:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U/ICAZufbp60Nc1Xf2rnPhW7pSuuft4DW3lCgR6wRUOIuV4dlhxJ1r0ZEmJzL4zqbYjdJ5lYNH98louQLXNjAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T13:50:13.495750Z"},"content_sha256":"7d77c499e93717e6f7bec0c4a180c3629f6b6329973971dc9e14c56e0d727ed5","schema_version":"1.0","event_id":"sha256:7d77c499e93717e6f7bec0c4a180c3629f6b6329973971dc9e14c56e0d727ed5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WS6GLZYSKDPJJDUMES3OVQ2ZO4/bundle.json","state_url":"https://pith.science/pith/WS6GLZYSKDPJJDUMES3OVQ2ZO4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WS6GLZYSKDPJJDUMES3OVQ2ZO4/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":"2026-07-06T13:50:13Z","links":{"resolver":"https://pith.science/pith/WS6GLZYSKDPJJDUMES3OVQ2ZO4","bundle":"https://pith.science/pith/WS6GLZYSKDPJJDUMES3OVQ2ZO4/bundle.json","state":"https://pith.science/pith/WS6GLZYSKDPJJDUMES3OVQ2ZO4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WS6GLZYSKDPJJDUMES3OVQ2ZO4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WS6GLZYSKDPJJDUMES3OVQ2ZO4","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":"1a555949e113b19b70c4f2ec5053741cbb0803e70d7070e1c48915d10cdfc487","cross_cats_sorted":["cs.AI","cs.NE","eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2024-06-19T03:19:25Z","title_canon_sha256":"99aaabdfc66a885683d9cef90d54e9f6f436a3e380ed0e975ae1de05306f0b1a"},"schema_version":"1.0","source":{"id":"2406.13179","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.13179","created_at":"2026-07-05T08:34:26Z"},{"alias_kind":"arxiv_version","alias_value":"2406.13179v1","created_at":"2026-07-05T08:34:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.13179","created_at":"2026-07-05T08:34:26Z"},{"alias_kind":"pith_short_12","alias_value":"WS6GLZYSKDPJ","created_at":"2026-07-05T08:34:26Z"},{"alias_kind":"pith_short_16","alias_value":"WS6GLZYSKDPJJDUM","created_at":"2026-07-05T08:34:26Z"},{"alias_kind":"pith_short_8","alias_value":"WS6GLZYS","created_at":"2026-07-05T08:34:26Z"}],"graph_snapshots":[{"event_id":"sha256:7d77c499e93717e6f7bec0c4a180c3629f6b6329973971dc9e14c56e0d727ed5","target":"graph","created_at":"2026-07-05T08:34:26Z","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/2406.13179/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Thanks to Deep Neural Networks (DNNs), the accuracy of Keyword Spotting (KWS) has made substantial progress. However, as KWS systems are usually implemented on edge devices, energy efficiency becomes a critical requirement besides performance. Here, we take advantage of spiking neural networks' energy efficiency and propose an end-to-end lightweight KWS model. The model consists of two innovative modules: 1) Global-Local Spiking Convolution (GLSC) module and 2) Bottleneck-PLIF module. Compared to the hand-crafted feature extraction methods, the GLSC module achieves speech feature extraction th","authors_text":"Dehao Zhang, Jibin Wu, Kexin Shi, Malu Zhang, Shuai Wang, Wenjie Wei, Yuchen Wang","cross_cats":["cs.AI","cs.NE","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2024-06-19T03:19:25Z","title":"Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.13179","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":"sha256:7ccb247268759a11e501e4bb3ed9eb488567e432aca38cd351e9ffab3dff514f","target":"record","created_at":"2026-07-05T08:34:26Z","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":"1a555949e113b19b70c4f2ec5053741cbb0803e70d7070e1c48915d10cdfc487","cross_cats_sorted":["cs.AI","cs.NE","eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2024-06-19T03:19:25Z","title_canon_sha256":"99aaabdfc66a885683d9cef90d54e9f6f436a3e380ed0e975ae1de05306f0b1a"},"schema_version":"1.0","source":{"id":"2406.13179","kind":"arxiv","version":1}},"canonical_sha256":"b4bc65e71250de948e8c24b6eac359770e06734057bfaf02298673a1008a5250","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b4bc65e71250de948e8c24b6eac359770e06734057bfaf02298673a1008a5250","first_computed_at":"2026-07-05T08:34:26.329666Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:34:26.329666Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"L1guo0FW5enHP32s+foLBBle2SA0eqZgkcG6o+FVcjnfVkr/LGNbu8iHc1foOcnEFB+EWFFq6VS5qLoXRyC2DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:34:26.330285Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.13179","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7ccb247268759a11e501e4bb3ed9eb488567e432aca38cd351e9ffab3dff514f","sha256:7d77c499e93717e6f7bec0c4a180c3629f6b6329973971dc9e14c56e0d727ed5"],"state_sha256":"2b478d03ce13bbddb256d950b9e9606e64292fe4fe6fba9c1f834ad9661d5535"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0YGL4sBxO8M+8/JobyeZfpXIVzEpD9T3KaavHc/cEPUIjU+QzDFgWwzxC3y44eGYNnjbrZUP2ZABBvX538t5AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T13:50:13.497694Z","bundle_sha256":"243af4911e52dd575d46a90c0ff115aff174c4c318a9420d53be5d8c91d15de6"}}