{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:47KXH7CRME7SNXQ3SOT47ZHNJD","short_pith_number":"pith:47KXH7CR","canonical_record":{"source":{"id":"1612.04028","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2016-12-13T04:56:47Z","cross_cats_sorted":[],"title_canon_sha256":"62b9f3c44f34041aba030b696cbbb932f3dfbbd2022d742978ff189eff568289","abstract_canon_sha256":"d14113f179d739b24ee2781ab8761943c34e9496ee1d5ed05d272d944fd2b8de"},"schema_version":"1.0"},"canonical_sha256":"e7d573fc51613f26de1b93a7cfe4ed48dc8fec1907daeaca88be6afd254a6472","source":{"kind":"arxiv","id":"1612.04028","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.04028","created_at":"2026-05-18T00:45:22Z"},{"alias_kind":"arxiv_version","alias_value":"1612.04028v3","created_at":"2026-05-18T00:45:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.04028","created_at":"2026-05-18T00:45:22Z"},{"alias_kind":"pith_short_12","alias_value":"47KXH7CRME7S","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_16","alias_value":"47KXH7CRME7SNXQ3","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_8","alias_value":"47KXH7CR","created_at":"2026-05-18T12:29:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:47KXH7CRME7SNXQ3SOT47ZHNJD","target":"record","payload":{"canonical_record":{"source":{"id":"1612.04028","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2016-12-13T04:56:47Z","cross_cats_sorted":[],"title_canon_sha256":"62b9f3c44f34041aba030b696cbbb932f3dfbbd2022d742978ff189eff568289","abstract_canon_sha256":"d14113f179d739b24ee2781ab8761943c34e9496ee1d5ed05d272d944fd2b8de"},"schema_version":"1.0"},"canonical_sha256":"e7d573fc51613f26de1b93a7cfe4ed48dc8fec1907daeaca88be6afd254a6472","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:45:22.149662Z","signature_b64":"2Gfv2MMxTgKFXu7cZ9ZOprV40PYhl6i0YRCYSNLgpEy3VbQBFeWunHHZ2OX/OUHUfQEEbaGJVhTL4GDVueGpBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e7d573fc51613f26de1b93a7cfe4ed48dc8fec1907daeaca88be6afd254a6472","last_reissued_at":"2026-05-18T00:45:22.149007Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:45:22.149007Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1612.04028","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:45:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1DCQG3GlcMtMj8Gwa51A8OGWSeziJrLhDCrHCgSlhAG5BBOIzkXvPAi0//Kb0TjnjlQxC5mVm15ibKpXe/G5CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T10:11:10.114647Z"},"content_sha256":"49b2f19b13a74e786719cf809d271fd20fbd5675e1e027dcbd46187a20faba0a","schema_version":"1.0","event_id":"sha256:49b2f19b13a74e786719cf809d271fd20fbd5675e1e027dcbd46187a20faba0a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:47KXH7CRME7SNXQ3SOT47ZHNJD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adaptive DCTNet for Audio Signal Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SD","authors_text":"Andrew Thompson, Liang Lu, Yin Xian, Yunchen Pu, Zhe Gan","submitted_at":"2016-12-13T04:56:47Z","abstract_excerpt":"In this paper, we investigate DCTNet for audio signal classification. Its output feature is related to Cohen's class of time-frequency distributions. We introduce the use of adaptive DCTNet (A-DCTNet) for audio signals feature extraction. The A-DCTNet applies the idea of constant-Q transform, with its center frequencies of filterbanks geometrically spaced. The A-DCTNet is adaptive to different acoustic scales, and it can better capture low frequency acoustic information that is sensitive to human audio perception than features such as Mel-frequency spectral coefficients (MFSC). We use features"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.04028","kind":"arxiv","version":3},"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":"2026-05-18T00:45:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y67NBJitfnsvprH5byBUH5Vu9AqEeDA4g3a+k6WTNrUbYfF6Y11YTp3jSIfOydPxbbYjRqyZA4Oa1yXY7eiuCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T10:11:10.115309Z"},"content_sha256":"146ad317a6de84b5dd485021136eb907419aeef7432f778e8f16831db51cc4be","schema_version":"1.0","event_id":"sha256:146ad317a6de84b5dd485021136eb907419aeef7432f778e8f16831db51cc4be"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/47KXH7CRME7SNXQ3SOT47ZHNJD/bundle.json","state_url":"https://pith.science/pith/47KXH7CRME7SNXQ3SOT47ZHNJD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/47KXH7CRME7SNXQ3SOT47ZHNJD/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":"2026-05-26T10:11:10Z","links":{"resolver":"https://pith.science/pith/47KXH7CRME7SNXQ3SOT47ZHNJD","bundle":"https://pith.science/pith/47KXH7CRME7SNXQ3SOT47ZHNJD/bundle.json","state":"https://pith.science/pith/47KXH7CRME7SNXQ3SOT47ZHNJD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/47KXH7CRME7SNXQ3SOT47ZHNJD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:47KXH7CRME7SNXQ3SOT47ZHNJD","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":"d14113f179d739b24ee2781ab8761943c34e9496ee1d5ed05d272d944fd2b8de","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2016-12-13T04:56:47Z","title_canon_sha256":"62b9f3c44f34041aba030b696cbbb932f3dfbbd2022d742978ff189eff568289"},"schema_version":"1.0","source":{"id":"1612.04028","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.04028","created_at":"2026-05-18T00:45:22Z"},{"alias_kind":"arxiv_version","alias_value":"1612.04028v3","created_at":"2026-05-18T00:45:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.04028","created_at":"2026-05-18T00:45:22Z"},{"alias_kind":"pith_short_12","alias_value":"47KXH7CRME7S","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_16","alias_value":"47KXH7CRME7SNXQ3","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_8","alias_value":"47KXH7CR","created_at":"2026-05-18T12:29:58Z"}],"graph_snapshots":[{"event_id":"sha256:146ad317a6de84b5dd485021136eb907419aeef7432f778e8f16831db51cc4be","target":"graph","created_at":"2026-05-18T00:45:22Z","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 investigate DCTNet for audio signal classification. Its output feature is related to Cohen's class of time-frequency distributions. We introduce the use of adaptive DCTNet (A-DCTNet) for audio signals feature extraction. The A-DCTNet applies the idea of constant-Q transform, with its center frequencies of filterbanks geometrically spaced. The A-DCTNet is adaptive to different acoustic scales, and it can better capture low frequency acoustic information that is sensitive to human audio perception than features such as Mel-frequency spectral coefficients (MFSC). We use features","authors_text":"Andrew Thompson, Liang Lu, Yin Xian, Yunchen Pu, Zhe Gan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2016-12-13T04:56:47Z","title":"Adaptive DCTNet for Audio Signal Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.04028","kind":"arxiv","version":3},"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":"sha256:49b2f19b13a74e786719cf809d271fd20fbd5675e1e027dcbd46187a20faba0a","target":"record","created_at":"2026-05-18T00:45:22Z","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":"d14113f179d739b24ee2781ab8761943c34e9496ee1d5ed05d272d944fd2b8de","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2016-12-13T04:56:47Z","title_canon_sha256":"62b9f3c44f34041aba030b696cbbb932f3dfbbd2022d742978ff189eff568289"},"schema_version":"1.0","source":{"id":"1612.04028","kind":"arxiv","version":3}},"canonical_sha256":"e7d573fc51613f26de1b93a7cfe4ed48dc8fec1907daeaca88be6afd254a6472","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e7d573fc51613f26de1b93a7cfe4ed48dc8fec1907daeaca88be6afd254a6472","first_computed_at":"2026-05-18T00:45:22.149007Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:45:22.149007Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2Gfv2MMxTgKFXu7cZ9ZOprV40PYhl6i0YRCYSNLgpEy3VbQBFeWunHHZ2OX/OUHUfQEEbaGJVhTL4GDVueGpBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:45:22.149662Z","signed_message":"canonical_sha256_bytes"},"source_id":"1612.04028","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:49b2f19b13a74e786719cf809d271fd20fbd5675e1e027dcbd46187a20faba0a","sha256:146ad317a6de84b5dd485021136eb907419aeef7432f778e8f16831db51cc4be"],"state_sha256":"fbcada719f9a6152e1c958ce358ee8052686c199c418298ccef362841cedc6c5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c/ZvqS6hnTHQi1QT3PJUynWYm0mcQxqV2U8X1J3bxaRvD6T2/77H91/rqchksj71v+IYM84HuvRbuInwcgGfBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T10:11:10.118786Z","bundle_sha256":"0b6d6f2cd22278342958185f78f46a95db4fd2a0483ada19910c16909900c3e1"}}