{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CUWITIEF75UNQBBJTFNOVBJKEM","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":"28c318cd80823a91456826c2b086803b70dbdd47e1fbc37b4d3a48bb72b5047a","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-06-02T21:04:29Z","title_canon_sha256":"b1ceef9d760da407f7ccdeb23a7ed76203d73dc55e88026fbca3968a4a6b689b"},"schema_version":"1.0","source":{"id":"2506.02258","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02258","created_at":"2026-07-05T11:14:35Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02258v1","created_at":"2026-07-05T11:14:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02258","created_at":"2026-07-05T11:14:35Z"},{"alias_kind":"pith_short_12","alias_value":"CUWITIEF75UN","created_at":"2026-07-05T11:14:35Z"},{"alias_kind":"pith_short_16","alias_value":"CUWITIEF75UNQBBJ","created_at":"2026-07-05T11:14:35Z"},{"alias_kind":"pith_short_8","alias_value":"CUWITIEF","created_at":"2026-07-05T11:14:35Z"}],"graph_snapshots":[{"event_id":"sha256:cade146b023c6cae910771f76f8b8cb6c47457302611dd6133786ef42f65ef37","target":"graph","created_at":"2026-07-05T11:14:35Z","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/2506.02258/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work, we focus on non-verbal vocal sounds emotion recognition (NVER). We investigate mamba-based audio foundation models (MAFMs) for the first time for NVER and hypothesize that MAFMs will outperform attention-based audio foundation models (AAFMs) for NVER by leveraging its state-space modeling to capture intrinsic emotional structures more effectively. Unlike AAFMs, which may amplify irrelevant patterns due to their attention mechanisms, MAFMs will extract more stable and context-aware representations, enabling better differentiation of subtle non-verbal emotional cues. Our experiment","authors_text":"Ananda Chandra Nayak, Arun Balaji Buduru, Girish, Mohd Mujtaba Akhtar, Orchid Chetia Phukan, Rajesh Sharma, Sanjib Kumar Nayak, Swarup Ranjan Behera","cross_cats":["cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-06-02T21:04:29Z","title":"Are Mamba-based Audio Foundation Models the Best Fit for Non-Verbal Emotion Recognition?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02258","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":"sha256:76966e640768076286a9d171703f9895806b0e7a4421b1c28cc15d2f2cbd271b","target":"record","created_at":"2026-07-05T11:14:35Z","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":"28c318cd80823a91456826c2b086803b70dbdd47e1fbc37b4d3a48bb72b5047a","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-06-02T21:04:29Z","title_canon_sha256":"b1ceef9d760da407f7ccdeb23a7ed76203d73dc55e88026fbca3968a4a6b689b"},"schema_version":"1.0","source":{"id":"2506.02258","kind":"arxiv","version":1}},"canonical_sha256":"152c89a085ff68d80429995aea852a230aed5bd398886d9d7c9ad17c9a959234","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"152c89a085ff68d80429995aea852a230aed5bd398886d9d7c9ad17c9a959234","first_computed_at":"2026-07-05T11:14:35.477398Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:14:35.477398Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WSveV2SswtL9H1Ne9IYcENEyf1dg2lQ+vCGP4zXHCC312J89pi7Bhwjc/7ejb0en9ubgE4QJKXOxG73sHf4kCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:14:35.477861Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.02258","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:76966e640768076286a9d171703f9895806b0e7a4421b1c28cc15d2f2cbd271b","sha256:cade146b023c6cae910771f76f8b8cb6c47457302611dd6133786ef42f65ef37"],"state_sha256":"f2e1d212f30deec3f0374b1f0ede1caac0cc054438cc75682b937b8584f00c62"}