{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:THACARPVGVXBOLWZYCNKR6GDHU","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":"7d288c9122c2977ea1f9dd1ef377c23edeaa7b5df7e9b0db33a6a91608276140","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.AS","submitted_at":"2024-02-20T14:00:53Z","title_canon_sha256":"bb6f10618ec4fb9d386b7eac1b89899719920b6fca13d692f9079c3bae2794ba"},"schema_version":"1.0","source":{"id":"2402.13018","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.13018","created_at":"2026-07-05T07:54:54Z"},{"alias_kind":"arxiv_version","alias_value":"2402.13018v4","created_at":"2026-07-05T07:54:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.13018","created_at":"2026-07-05T07:54:54Z"},{"alias_kind":"pith_short_12","alias_value":"THACARPVGVXB","created_at":"2026-07-05T07:54:54Z"},{"alias_kind":"pith_short_16","alias_value":"THACARPVGVXBOLWZ","created_at":"2026-07-05T07:54:54Z"},{"alias_kind":"pith_short_8","alias_value":"THACARPV","created_at":"2026-07-05T07:54:54Z"}],"graph_snapshots":[{"event_id":"sha256:0f6ee790e9d8d296b7da7624f940aa2aa18981002e67c6f35b9b70e7218aea64","target":"graph","created_at":"2026-07-05T07:54:54Z","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/2402.13018/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Speech emotion recognition (SER) is a pivotal technology for human-computer interaction systems. However, 80.77% of SER papers yield results that cannot be reproduced. We develop EMO-SUPERB, short for EMOtion Speech Universal PERformance Benchmark, which aims to enhance open-source initiatives for SER. EMO-SUPERB includes a user-friendly codebase to leverage 15 state-of-the-art speech self-supervised learning models (SSLMs) for exhaustive evaluation across six open-source SER datasets. EMO-SUPERB streamlines result sharing via an online leaderboard, fostering collaboration within a community-d","authors_text":"Chi-Chun Lee, Haibin Wu, Huang-Cheng Chou, Hung-yi Lee, Jiawei Du, Jyh-Shing Roger Jang, Kai-Wei Chang, Lucas Goncalves","cross_cats":["cs.SD"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.AS","submitted_at":"2024-02-20T14:00:53Z","title":"EMO-SUPERB: An In-depth Look at Speech Emotion Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.13018","kind":"arxiv","version":4},"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":"sha256:5f6227a822b9ab488e0fbc1538e5a4e7c74a5f48dfe94026226569777c5f5144","target":"record","created_at":"2026-07-05T07:54:54Z","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":"7d288c9122c2977ea1f9dd1ef377c23edeaa7b5df7e9b0db33a6a91608276140","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.AS","submitted_at":"2024-02-20T14:00:53Z","title_canon_sha256":"bb6f10618ec4fb9d386b7eac1b89899719920b6fca13d692f9079c3bae2794ba"},"schema_version":"1.0","source":{"id":"2402.13018","kind":"arxiv","version":4}},"canonical_sha256":"99c02045f5356e172ed9c09aa8f8c33d3414b7571ea43115f489ddc023591caa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"99c02045f5356e172ed9c09aa8f8c33d3414b7571ea43115f489ddc023591caa","first_computed_at":"2026-07-05T07:54:54.967889Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:54:54.967889Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EoD5KkfAXBoGnZQwM5MckKDkHLXPALki3zxFAw4dmN+AIkW8TbGr1ZQWRF7P+IKDoetq/+OWwLKnBYixlF2lCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:54:54.968306Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.13018","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5f6227a822b9ab488e0fbc1538e5a4e7c74a5f48dfe94026226569777c5f5144","sha256:0f6ee790e9d8d296b7da7624f940aa2aa18981002e67c6f35b9b70e7218aea64"],"state_sha256":"40f6f397fe71115d70aa68a8a0b2c54102687020056f601df037666636fe6dc5"}