{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QQNBZKVZ5CGEWUXECNNOQQOJAH","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":"1c64bcd0b6426f7dd78164294de16f710b8e1b0358604df719e251510fb78cf6","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2024-12-16T16:25:58Z","title_canon_sha256":"7f7bd5e1c4a2a63053feff7eada3424946fe5f04b8822305f22535108f04ca7a"},"schema_version":"1.0","source":{"id":"2412.11943","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.11943","created_at":"2026-07-05T10:46:59Z"},{"alias_kind":"arxiv_version","alias_value":"2412.11943v2","created_at":"2026-07-05T10:46:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.11943","created_at":"2026-07-05T10:46:59Z"},{"alias_kind":"pith_short_12","alias_value":"QQNBZKVZ5CGE","created_at":"2026-07-05T10:46:59Z"},{"alias_kind":"pith_short_16","alias_value":"QQNBZKVZ5CGEWUXE","created_at":"2026-07-05T10:46:59Z"},{"alias_kind":"pith_short_8","alias_value":"QQNBZKVZ","created_at":"2026-07-05T10:46:59Z"}],"graph_snapshots":[{"event_id":"sha256:e66e1191ad7b4764e7edb01d3735f2a576eec52f7914eaa0ab15ae42a61bf9c4","target":"graph","created_at":"2026-07-05T10:46:59Z","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/2412.11943/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This work introduces the key operating principles for autrainer, our new deep learning training framework for computer audition tasks. autrainer is a PyTorch-based toolkit that allows for rapid, reproducible, and easily extensible training on a variety of different computer audition tasks. Concretely, autrainer offers low-code training and supports a wide range of neural networks as well as preprocessing routines. In this work, we present an overview of its inner workings and key capabilities.","authors_text":"Andreas Triantafyllopoulos, Bj\\\"orn W. Schuller, Manuel Milling, Simon Rampp","cross_cats":["cs.AI","cs.LG","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2024-12-16T16:25:58Z","title":"autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.11943","kind":"arxiv","version":2},"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":"sha256:9adbd2df30bdaa295de5145c1f042a66aea6dbaa14669d3712aaec0e2420ea08","target":"record","created_at":"2026-07-05T10:46:59Z","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":"1c64bcd0b6426f7dd78164294de16f710b8e1b0358604df719e251510fb78cf6","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2024-12-16T16:25:58Z","title_canon_sha256":"7f7bd5e1c4a2a63053feff7eada3424946fe5f04b8822305f22535108f04ca7a"},"schema_version":"1.0","source":{"id":"2412.11943","kind":"arxiv","version":2}},"canonical_sha256":"841a1caab9e88c4b52e4135ae841c901e0476fc82de6986d34f7f6b0de8efadf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"841a1caab9e88c4b52e4135ae841c901e0476fc82de6986d34f7f6b0de8efadf","first_computed_at":"2026-07-05T10:46:59.400801Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:46:59.400801Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FAkH3k1Q+XsSITrs3iMW5qHjF/tGph/qKin1X69F2F3U2XpxPphgM8YvbnrNngucWDk3vhAYSbOllgmkhDQJCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:46:59.401302Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.11943","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9adbd2df30bdaa295de5145c1f042a66aea6dbaa14669d3712aaec0e2420ea08","sha256:e66e1191ad7b4764e7edb01d3735f2a576eec52f7914eaa0ab15ae42a61bf9c4"],"state_sha256":"c12571761dbcd4bdc65b69805102a198a617bd578ae5c490e6abafc40781be5e"}