{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:X34TUDJI5J7GAI5G3TY5POI7GP","short_pith_number":"pith:X34TUDJI","canonical_record":{"source":{"id":"1710.00343","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2017-10-01T12:57:45Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"8b714450b747ce735f42bcd7c5ae8ac24b0760d98d0b096ebb1d4d961a3b7a49","abstract_canon_sha256":"6b617e50dd0f5f90d7ada05042bac6880db7d476b19e049390cdd005534302e3"},"schema_version":"1.0"},"canonical_sha256":"bef93a0d28ea7e6023a6dcf1d7b91f33c80215bcf7afb37d363729b651f7f86d","source":{"kind":"arxiv","id":"1710.00343","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.00343","created_at":"2026-05-18T00:33:55Z"},{"alias_kind":"arxiv_version","alias_value":"1710.00343v1","created_at":"2026-05-18T00:33:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.00343","created_at":"2026-05-18T00:33:55Z"},{"alias_kind":"pith_short_12","alias_value":"X34TUDJI5J7G","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"X34TUDJI5J7GAI5G","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"X34TUDJI","created_at":"2026-05-18T12:31:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:X34TUDJI5J7GAI5G3TY5POI7GP","target":"record","payload":{"canonical_record":{"source":{"id":"1710.00343","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2017-10-01T12:57:45Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"8b714450b747ce735f42bcd7c5ae8ac24b0760d98d0b096ebb1d4d961a3b7a49","abstract_canon_sha256":"6b617e50dd0f5f90d7ada05042bac6880db7d476b19e049390cdd005534302e3"},"schema_version":"1.0"},"canonical_sha256":"bef93a0d28ea7e6023a6dcf1d7b91f33c80215bcf7afb37d363729b651f7f86d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:33:55.072664Z","signature_b64":"+kHc5SDuBc1Ab0Zr7uKJ48rfNO7t5HR3U7/Jbi5gGFS8bdyOtBATJMjxNgJOeY5IfEinZX+aC8Xx/EFS2b8yCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bef93a0d28ea7e6023a6dcf1d7b91f33c80215bcf7afb37d363729b651f7f86d","last_reissued_at":"2026-05-18T00:33:55.072087Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:33:55.072087Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1710.00343","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":"2026-05-18T00:33:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hqDCtzXn0S9ohuj84qHTotO9p0rnPZ6XO4CsadWibP19pSCSvrhzCLL7hUeel8v6+gj2p+9+ZjsjPdl9y55AAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T09:43:43.093858Z"},"content_sha256":"ee37e295773eec6d974d7aac81c455d8d35b0221cbec05c5896dfd2a7f439b5f","schema_version":"1.0","event_id":"sha256:ee37e295773eec6d974d7aac81c455d8d35b0221cbec05c5896dfd2a7f439b5f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:X34TUDJI5J7GAI5G3TY5POI7GP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Large-scale weakly supervised audio classification using gated convolutional neural network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Mark D. Plumbley, Qiuqiang Kong, Wenwu Wang, Yong Xu","submitted_at":"2017-10-01T12:57:45Z","abstract_excerpt":"In this paper, we present a gated convolutional neural network and a temporal attention-based localization method for audio classification, which won the 1st place in the large-scale weakly supervised sound event detection task of Detection and Classification of Acoustic Scenes and Events (DCASE) 2017 challenge. The audio clips in this task, which are extracted from YouTube videos, are manually labeled with one or a few audio tags but without timestamps of the audio events, which is called as weakly labeled data. Two sub-tasks are defined in this challenge including audio tagging and sound eve"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.00343","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":""},"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":"2026-05-18T00:33:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uLozuCUiZZYy43fRo+92FAiBF8ifbVV8kblViekp/rSNglbt5wbUj2f7DxjsRCabwF6DsI7dTzNFZgs1WwL2AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T09:43:43.094386Z"},"content_sha256":"6c48ccd8467432363124c31b3a3c65d1f7df0600fa490b1e79a4b66062981509","schema_version":"1.0","event_id":"sha256:6c48ccd8467432363124c31b3a3c65d1f7df0600fa490b1e79a4b66062981509"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/X34TUDJI5J7GAI5G3TY5POI7GP/bundle.json","state_url":"https://pith.science/pith/X34TUDJI5J7GAI5G3TY5POI7GP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/X34TUDJI5J7GAI5G3TY5POI7GP/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":"2026-05-26T09:43:43Z","links":{"resolver":"https://pith.science/pith/X34TUDJI5J7GAI5G3TY5POI7GP","bundle":"https://pith.science/pith/X34TUDJI5J7GAI5G3TY5POI7GP/bundle.json","state":"https://pith.science/pith/X34TUDJI5J7GAI5G3TY5POI7GP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/X34TUDJI5J7GAI5G3TY5POI7GP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:X34TUDJI5J7GAI5G3TY5POI7GP","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":"6b617e50dd0f5f90d7ada05042bac6880db7d476b19e049390cdd005534302e3","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2017-10-01T12:57:45Z","title_canon_sha256":"8b714450b747ce735f42bcd7c5ae8ac24b0760d98d0b096ebb1d4d961a3b7a49"},"schema_version":"1.0","source":{"id":"1710.00343","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.00343","created_at":"2026-05-18T00:33:55Z"},{"alias_kind":"arxiv_version","alias_value":"1710.00343v1","created_at":"2026-05-18T00:33:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.00343","created_at":"2026-05-18T00:33:55Z"},{"alias_kind":"pith_short_12","alias_value":"X34TUDJI5J7G","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"X34TUDJI5J7GAI5G","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"X34TUDJI","created_at":"2026-05-18T12:31:53Z"}],"graph_snapshots":[{"event_id":"sha256:6c48ccd8467432363124c31b3a3c65d1f7df0600fa490b1e79a4b66062981509","target":"graph","created_at":"2026-05-18T00:33:55Z","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"},"paper":{"abstract_excerpt":"In this paper, we present a gated convolutional neural network and a temporal attention-based localization method for audio classification, which won the 1st place in the large-scale weakly supervised sound event detection task of Detection and Classification of Acoustic Scenes and Events (DCASE) 2017 challenge. The audio clips in this task, which are extracted from YouTube videos, are manually labeled with one or a few audio tags but without timestamps of the audio events, which is called as weakly labeled data. Two sub-tasks are defined in this challenge including audio tagging and sound eve","authors_text":"Mark D. Plumbley, Qiuqiang Kong, Wenwu Wang, Yong Xu","cross_cats":["eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2017-10-01T12:57:45Z","title":"Large-scale weakly supervised audio classification using gated convolutional neural network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.00343","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:ee37e295773eec6d974d7aac81c455d8d35b0221cbec05c5896dfd2a7f439b5f","target":"record","created_at":"2026-05-18T00:33:55Z","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":"6b617e50dd0f5f90d7ada05042bac6880db7d476b19e049390cdd005534302e3","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2017-10-01T12:57:45Z","title_canon_sha256":"8b714450b747ce735f42bcd7c5ae8ac24b0760d98d0b096ebb1d4d961a3b7a49"},"schema_version":"1.0","source":{"id":"1710.00343","kind":"arxiv","version":1}},"canonical_sha256":"bef93a0d28ea7e6023a6dcf1d7b91f33c80215bcf7afb37d363729b651f7f86d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bef93a0d28ea7e6023a6dcf1d7b91f33c80215bcf7afb37d363729b651f7f86d","first_computed_at":"2026-05-18T00:33:55.072087Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:33:55.072087Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+kHc5SDuBc1Ab0Zr7uKJ48rfNO7t5HR3U7/Jbi5gGFS8bdyOtBATJMjxNgJOeY5IfEinZX+aC8Xx/EFS2b8yCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:33:55.072664Z","signed_message":"canonical_sha256_bytes"},"source_id":"1710.00343","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ee37e295773eec6d974d7aac81c455d8d35b0221cbec05c5896dfd2a7f439b5f","sha256:6c48ccd8467432363124c31b3a3c65d1f7df0600fa490b1e79a4b66062981509"],"state_sha256":"eeeddfe035cecb724c2334f208cc873de0ac75f31dff885c3d4c3e203b27091a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ll6jnrxoy01UfcI4CDe3/ffR31jY47FklX5YHC7NbIx3zyQXo7PUL8xxaKUAXuBT8iuAZeQUaVFP97neSdBJBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T09:43:43.097300Z","bundle_sha256":"658ea6678e3f39827579465dc133484929fc87973693537c1ed90bce6341a1bd"}}