{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:TWZ726YG7KGLF7OLBDXFG3HUZB","short_pith_number":"pith:TWZ726YG","canonical_record":{"source":{"id":"2210.02904","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-10-06T13:18:48Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"d05f1d944b3e74d8a88b9fc7f37754fe114980129f0fd2c9a0c73bbcd73418ad","abstract_canon_sha256":"cd607260ed921ee1de560583e118029fbd5248c8991aff33e6b7e0422bc25e53"},"schema_version":"1.0"},"canonical_sha256":"9db3fd7b06fa8cb2fdcb08ee536cf4c878e5ecd0302e5498c0b4c590f719e81a","source":{"kind":"arxiv","id":"2210.02904","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.02904","created_at":"2026-07-05T05:04:05Z"},{"alias_kind":"arxiv_version","alias_value":"2210.02904v1","created_at":"2026-07-05T05:04:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.02904","created_at":"2026-07-05T05:04:05Z"},{"alias_kind":"pith_short_12","alias_value":"TWZ726YG7KGL","created_at":"2026-07-05T05:04:05Z"},{"alias_kind":"pith_short_16","alias_value":"TWZ726YG7KGLF7OL","created_at":"2026-07-05T05:04:05Z"},{"alias_kind":"pith_short_8","alias_value":"TWZ726YG","created_at":"2026-07-05T05:04:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:TWZ726YG7KGLF7OLBDXFG3HUZB","target":"record","payload":{"canonical_record":{"source":{"id":"2210.02904","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-10-06T13:18:48Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"d05f1d944b3e74d8a88b9fc7f37754fe114980129f0fd2c9a0c73bbcd73418ad","abstract_canon_sha256":"cd607260ed921ee1de560583e118029fbd5248c8991aff33e6b7e0422bc25e53"},"schema_version":"1.0"},"canonical_sha256":"9db3fd7b06fa8cb2fdcb08ee536cf4c878e5ecd0302e5498c0b4c590f719e81a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:04:05.198858Z","signature_b64":"Dj2UvnzjIYz4NWRBq87bfkb/i2UzFOt1aO7lSMVIK0rfh7kpuPP32DxTD9Fb7m/1xZ1CuiuK4+7+kgN1o48lAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9db3fd7b06fa8cb2fdcb08ee536cf4c878e5ecd0302e5498c0b4c590f719e81a","last_reissued_at":"2026-07-05T05:04:05.198467Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:04:05.198467Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.02904","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":"2026-07-05T05:04:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tmey4Nww+3Da4IduEUzVnbx1ATDu5UrsJWIRq9BqYkbUIvYlekPuzZ5dxV5NRV4mMf7z7ZzEGHYnrhU+kXBMBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T01:52:47.904775Z"},"content_sha256":"de65f5466303f08d66a55c35122c9823372feeb824e3d0e9cadd601003f8688a","schema_version":"1.0","event_id":"sha256:de65f5466303f08d66a55c35122c9823372feeb824e3d0e9cadd601003f8688a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:TWZ726YG7KGLF7OLBDXFG3HUZB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"WakeUpNet: A Mobile-Transformer based Framework for End-to-End Streaming Voice Trigger","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Salah Karout, Senling Lin, Thorin Farnsworth, Zixing Zhang","submitted_at":"2022-10-06T13:18:48Z","abstract_excerpt":"End-to-end models have gradually become the main technical stream for voice trigger, aiming to achieve an utmost prediction accuracy but with a small footprint. In present paper, we propose an end-to-end voice trigger framework, namely WakeupNet, which is basically structured on a Transformer encoder. The purpose of this framework is to explore the context-capturing capability of Transformer, as sequential information is vital for wakeup-word detection. However, the conventional Transformer encoder is too large to fit our task. To address this issue, we introduce different model compression ap"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.02904","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/2210.02904/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":"2026-07-05T05:04:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wlXGVB3gm6kOOKLqzZLnFoMxHbk8QzppQFUxn/N64VWhGtTSWmMcDpXnq9IxqPzlVS5D+cXHRw5phkYq3xSMCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T01:52:47.905292Z"},"content_sha256":"eee41d690507a66231085c31e46d2d81e03c79b1d3c278dd637c650e0ef4286c","schema_version":"1.0","event_id":"sha256:eee41d690507a66231085c31e46d2d81e03c79b1d3c278dd637c650e0ef4286c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TWZ726YG7KGLF7OLBDXFG3HUZB/bundle.json","state_url":"https://pith.science/pith/TWZ726YG7KGLF7OLBDXFG3HUZB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TWZ726YG7KGLF7OLBDXFG3HUZB/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":"2026-08-23T01:52:47Z","links":{"resolver":"https://pith.science/pith/TWZ726YG7KGLF7OLBDXFG3HUZB","bundle":"https://pith.science/pith/TWZ726YG7KGLF7OLBDXFG3HUZB/bundle.json","state":"https://pith.science/pith/TWZ726YG7KGLF7OLBDXFG3HUZB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TWZ726YG7KGLF7OLBDXFG3HUZB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:TWZ726YG7KGLF7OLBDXFG3HUZB","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":"cd607260ed921ee1de560583e118029fbd5248c8991aff33e6b7e0422bc25e53","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-10-06T13:18:48Z","title_canon_sha256":"d05f1d944b3e74d8a88b9fc7f37754fe114980129f0fd2c9a0c73bbcd73418ad"},"schema_version":"1.0","source":{"id":"2210.02904","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.02904","created_at":"2026-07-05T05:04:05Z"},{"alias_kind":"arxiv_version","alias_value":"2210.02904v1","created_at":"2026-07-05T05:04:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.02904","created_at":"2026-07-05T05:04:05Z"},{"alias_kind":"pith_short_12","alias_value":"TWZ726YG7KGL","created_at":"2026-07-05T05:04:05Z"},{"alias_kind":"pith_short_16","alias_value":"TWZ726YG7KGLF7OL","created_at":"2026-07-05T05:04:05Z"},{"alias_kind":"pith_short_8","alias_value":"TWZ726YG","created_at":"2026-07-05T05:04:05Z"}],"graph_snapshots":[{"event_id":"sha256:eee41d690507a66231085c31e46d2d81e03c79b1d3c278dd637c650e0ef4286c","target":"graph","created_at":"2026-07-05T05:04:05Z","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/2210.02904/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"End-to-end models have gradually become the main technical stream for voice trigger, aiming to achieve an utmost prediction accuracy but with a small footprint. In present paper, we propose an end-to-end voice trigger framework, namely WakeupNet, which is basically structured on a Transformer encoder. The purpose of this framework is to explore the context-capturing capability of Transformer, as sequential information is vital for wakeup-word detection. However, the conventional Transformer encoder is too large to fit our task. To address this issue, we introduce different model compression ap","authors_text":"Salah Karout, Senling Lin, Thorin Farnsworth, Zixing Zhang","cross_cats":["eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-10-06T13:18:48Z","title":"WakeUpNet: A Mobile-Transformer based Framework for End-to-End Streaming Voice Trigger"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.02904","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:de65f5466303f08d66a55c35122c9823372feeb824e3d0e9cadd601003f8688a","target":"record","created_at":"2026-07-05T05:04:05Z","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":"cd607260ed921ee1de560583e118029fbd5248c8991aff33e6b7e0422bc25e53","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-10-06T13:18:48Z","title_canon_sha256":"d05f1d944b3e74d8a88b9fc7f37754fe114980129f0fd2c9a0c73bbcd73418ad"},"schema_version":"1.0","source":{"id":"2210.02904","kind":"arxiv","version":1}},"canonical_sha256":"9db3fd7b06fa8cb2fdcb08ee536cf4c878e5ecd0302e5498c0b4c590f719e81a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9db3fd7b06fa8cb2fdcb08ee536cf4c878e5ecd0302e5498c0b4c590f719e81a","first_computed_at":"2026-07-05T05:04:05.198467Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:04:05.198467Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Dj2UvnzjIYz4NWRBq87bfkb/i2UzFOt1aO7lSMVIK0rfh7kpuPP32DxTD9Fb7m/1xZ1CuiuK4+7+kgN1o48lAw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:04:05.198858Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.02904","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:de65f5466303f08d66a55c35122c9823372feeb824e3d0e9cadd601003f8688a","sha256:eee41d690507a66231085c31e46d2d81e03c79b1d3c278dd637c650e0ef4286c"],"state_sha256":"de7a8017c7db39fe7424d89eead7225d65f7a2c950d6b006ae73e07d6227c2e5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D1yOKW3NT6ip/aSAyoDaboLhW6vBl3ftopYScWgySUZsK/TE1A4IKTesrwFhT8r+DV6Jhrtu3UNRKf0JfPgeAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T01:52:47.910527Z","bundle_sha256":"265310a342670bc3ba7912a1f48d509aaf1bef7a14b85388b3ac7f80144246de"}}