{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3ZGKRBL3MNU5QPYL4OFKAJHIFC","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":"0cd55e02c454859e5f819f62825a9406e30855f904740f2656b4f8e768c901ad","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-10T15:55:06Z","title_canon_sha256":"81dda755c14b9c95284064ee6e49ba242956caf6a9c0c9b8d26cbb531a44aa92"},"schema_version":"1.0","source":{"id":"2406.06401","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.06401","created_at":"2026-07-05T10:46:54Z"},{"alias_kind":"arxiv_version","alias_value":"2406.06401v1","created_at":"2026-07-05T10:46:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.06401","created_at":"2026-07-05T10:46:54Z"},{"alias_kind":"pith_short_12","alias_value":"3ZGKRBL3MNU5","created_at":"2026-07-05T10:46:54Z"},{"alias_kind":"pith_short_16","alias_value":"3ZGKRBL3MNU5QPYL","created_at":"2026-07-05T10:46:54Z"},{"alias_kind":"pith_short_8","alias_value":"3ZGKRBL3","created_at":"2026-07-05T10:46:54Z"}],"graph_snapshots":[{"event_id":"sha256:c7710695f4a17574b2e22bfdd10f1292584c84cee7fa4e31734759a6b1972e4e","target":"graph","created_at":"2026-07-05T10:46:54Z","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/2406.06401/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We revisit the INTERSPEECH 2009 Emotion Challenge -- the first ever speech emotion recognition (SER) challenge -- and evaluate a series of deep learning models that are representative of the major advances in SER research in the time since then. We start by training each model using a fixed set of hyperparameters, and further fine-tune the best-performing models of that initial setup with a grid search. Results are always reported on the official test set with a separate validation set only used for early stopping. Most models score below or close to the official baseline, while they marginall","authors_text":"Andreas Triantafyllopoulos, Anton Batliner, Bj\\\"orn Schuller, Manuel Milling, Simon Rampp","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-10T15:55:06Z","title":"INTERSPEECH 2009 Emotion Challenge Revisited: Benchmarking 15 Years of Progress in Speech Emotion Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.06401","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":"sha256:75818cc67eb11dca3ae62325a65232a65a395391d50d2a2485ad9aca957cb406","target":"record","created_at":"2026-07-05T10:46:54Z","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":"0cd55e02c454859e5f819f62825a9406e30855f904740f2656b4f8e768c901ad","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-10T15:55:06Z","title_canon_sha256":"81dda755c14b9c95284064ee6e49ba242956caf6a9c0c9b8d26cbb531a44aa92"},"schema_version":"1.0","source":{"id":"2406.06401","kind":"arxiv","version":1}},"canonical_sha256":"de4ca8857b6369d83f0be38aa024e828b098657fac5e73dfcdf98e68f3f3cb71","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"de4ca8857b6369d83f0be38aa024e828b098657fac5e73dfcdf98e68f3f3cb71","first_computed_at":"2026-07-05T10:46:54.599053Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:46:54.599053Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PTQjWosAk0/gZzmEshNNHYgf/joPa99QSPQLCcsrUBkuDI/3onMYfo0kRiSALYM7Xa2lmJmpG4aXGBNUwfIoCg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:46:54.599647Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.06401","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:75818cc67eb11dca3ae62325a65232a65a395391d50d2a2485ad9aca957cb406","sha256:c7710695f4a17574b2e22bfdd10f1292584c84cee7fa4e31734759a6b1972e4e"],"state_sha256":"35cbad590c7ce8dc80f6d7960c8024cfb837bc7f865f4a7c93478f3491bf5cda"}