{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LC7GRDDJGH5IIJC25RYC2TIXEY","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":"ae854cbfb4150108cdccd44cd0d85c5ae44a7c848e016040a52c9bda8296d53e","cross_cats_sorted":["cs.AI","cs.CL","cs.DB","cs.LG","cs.SD"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.AS","submitted_at":"2024-10-05T09:15:01Z","title_canon_sha256":"3cb3930bd0feeb1156b4ea755521c2b84998a71ba80e97ab5edc5dc0c178b9fa"},"schema_version":"1.0","source":{"id":"2410.05320","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.05320","created_at":"2026-07-05T11:29:02Z"},{"alias_kind":"arxiv_version","alias_value":"2410.05320v1","created_at":"2026-07-05T11:29:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.05320","created_at":"2026-07-05T11:29:02Z"},{"alias_kind":"pith_short_12","alias_value":"LC7GRDDJGH5I","created_at":"2026-07-05T11:29:02Z"},{"alias_kind":"pith_short_16","alias_value":"LC7GRDDJGH5IIJC2","created_at":"2026-07-05T11:29:02Z"},{"alias_kind":"pith_short_8","alias_value":"LC7GRDDJ","created_at":"2026-07-05T11:29:02Z"}],"graph_snapshots":[{"event_id":"sha256:e31d19be4c9684347996824029005872175d466bb2d618d7b394179c31463e81","target":"graph","created_at":"2026-07-05T11:29:02Z","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/2410.05320/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper introduces to a structured application of the One-Class approach and the One-Class-One-Network model for supervised classification tasks, specifically addressing a vowel phonemes classification case study within the Automatic Speech Recognition research field. Through pseudo-Neural Architecture Search and Hyper-Parameters Tuning experiments conducted with an informed grid-search methodology, we achieve classification accuracy comparable to nowadays complex architectures (90.0 - 93.7%). Despite its simplicity, our model prioritizes generalization of language context and distributed a","authors_text":"Claudia Rinaldi, Marco Giordano, Stefano Giacomelli","cross_cats":["cs.AI","cs.CL","cs.DB","cs.LG","cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.AS","submitted_at":"2024-10-05T09:15:01Z","title":"The OCON model: an old but gold solution for distributable supervised classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.05320","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:a764e56d9a967fede9d81e7e43cb649bcc673a97484543b4224bd82b6da39e5e","target":"record","created_at":"2026-07-05T11:29:02Z","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":"ae854cbfb4150108cdccd44cd0d85c5ae44a7c848e016040a52c9bda8296d53e","cross_cats_sorted":["cs.AI","cs.CL","cs.DB","cs.LG","cs.SD"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.AS","submitted_at":"2024-10-05T09:15:01Z","title_canon_sha256":"3cb3930bd0feeb1156b4ea755521c2b84998a71ba80e97ab5edc5dc0c178b9fa"},"schema_version":"1.0","source":{"id":"2410.05320","kind":"arxiv","version":1}},"canonical_sha256":"58be688c6931fa84245aec702d4d17262258b140d7319394b0ef00eac7273613","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"58be688c6931fa84245aec702d4d17262258b140d7319394b0ef00eac7273613","first_computed_at":"2026-07-05T11:29:02.345492Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:29:02.345492Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1kcVVgagLmo6j4paw6d67qBhWxal+t6yIEQI/OKiMyNAavKWbWRWJH1GuXivnNMRLn5E1hYl/ue43wu3Ce38Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:29:02.346129Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.05320","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a764e56d9a967fede9d81e7e43cb649bcc673a97484543b4224bd82b6da39e5e","sha256:e31d19be4c9684347996824029005872175d466bb2d618d7b394179c31463e81"],"state_sha256":"38cd145a85478fa99a6a5cc7d6ed3656a214dcf184b773fbb10194729392be4b"}