{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:POKP5YVCOWOVBPAAKCA7FDG4RI","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":"6acac2d6e8c3a2fba5353ca8a144856705110f14a365158d1705d2d3b315e9d8","cross_cats_sorted":["cs.AI","eess.AS"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2024-05-03T02:24:27Z","title_canon_sha256":"4d8f8898d71b51afed3e1ad5b197f677dbb892504921f5bae6a18ac30a8c2a7b"},"schema_version":"1.0","source":{"id":"2405.01815","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.01815","created_at":"2026-07-05T08:15:02Z"},{"alias_kind":"arxiv_version","alias_value":"2405.01815v1","created_at":"2026-07-05T08:15:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.01815","created_at":"2026-07-05T08:15:02Z"},{"alias_kind":"pith_short_12","alias_value":"POKP5YVCOWOV","created_at":"2026-07-05T08:15:02Z"},{"alias_kind":"pith_short_16","alias_value":"POKP5YVCOWOVBPAA","created_at":"2026-07-05T08:15:02Z"},{"alias_kind":"pith_short_8","alias_value":"POKP5YVC","created_at":"2026-07-05T08:15:02Z"}],"graph_snapshots":[{"event_id":"sha256:cd27c3627e0a8d4ca9fc72ddebda22ea5a0d159f1b2d0827561bb70d1b7e06fe","target":"graph","created_at":"2026-07-05T08:15:02Z","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/2405.01815/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper introduces a novel convolutional neural networks (CNN) framework tailored for end-to-end audio deep learning models, presenting advancements in efficiency and explainability. By benchmarking experiments on three standard speech emotion recognition datasets with five-fold cross-validation, our framework outperforms Mel spectrogram features by up to seven percent. It can potentially replace the Mel-Frequency Cepstral Coefficients (MFCC) while remaining lightweight. Furthermore, we demonstrate the efficiency and interpretability of the front-end layer using the PhysioNet Heart Sound Da","authors_text":"Linh Vu, Raphael Phan, Thu Tran, Wern-Han Lim","cross_cats":["cs.AI","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2024-05-03T02:24:27Z","title":"Toward end-to-end interpretable convolutional neural networks for waveform signals"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.01815","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:daa62f9c658cce1f7d574ca35a00abcdc164a03afc9afd9889e4f0340c8e27eb","target":"record","created_at":"2026-07-05T08:15:02Z","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":"6acac2d6e8c3a2fba5353ca8a144856705110f14a365158d1705d2d3b315e9d8","cross_cats_sorted":["cs.AI","eess.AS"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2024-05-03T02:24:27Z","title_canon_sha256":"4d8f8898d71b51afed3e1ad5b197f677dbb892504921f5bae6a18ac30a8c2a7b"},"schema_version":"1.0","source":{"id":"2405.01815","kind":"arxiv","version":1}},"canonical_sha256":"7b94fee2a2759d50bc005081f28cdc8a09f03168a315cdd31e44137a79b60afa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7b94fee2a2759d50bc005081f28cdc8a09f03168a315cdd31e44137a79b60afa","first_computed_at":"2026-07-05T08:15:02.337690Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:15:02.337690Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eEu0w9+ex9V6HGLWXn2JQVwRuuObd+est2ZgQNPMG+qbWScCOGDVunTL64W27BM21CuuEOyxmga6MmQeCsJeDA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:15:02.338057Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.01815","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:daa62f9c658cce1f7d574ca35a00abcdc164a03afc9afd9889e4f0340c8e27eb","sha256:cd27c3627e0a8d4ca9fc72ddebda22ea5a0d159f1b2d0827561bb70d1b7e06fe"],"state_sha256":"c540cff8e7b6d18740aeda4f9a971e1eba7ba84d883a8a617aff446f9b4afce5"}