{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:YW53ZXV4QFNY5A2X5QMDJA4FBZ","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":"089f2089cbc6b6b46afb9e83cd43dbe78cf3e462857633e0574c7edd3c08541a","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-06-02T20:14:22Z","title_canon_sha256":"f81e0b806f91c96fdf0c60ac26896bd08b2b9f31da912de589d4bb0452f43f34"},"schema_version":"1.0","source":{"id":"2506.02230","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02230","created_at":"2026-07-05T11:14:34Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02230v1","created_at":"2026-07-05T11:14:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02230","created_at":"2026-07-05T11:14:34Z"},{"alias_kind":"pith_short_12","alias_value":"YW53ZXV4QFNY","created_at":"2026-07-05T11:14:34Z"},{"alias_kind":"pith_short_16","alias_value":"YW53ZXV4QFNY5A2X","created_at":"2026-07-05T11:14:34Z"},{"alias_kind":"pith_short_8","alias_value":"YW53ZXV4","created_at":"2026-07-05T11:14:34Z"}],"graph_snapshots":[{"event_id":"sha256:fc57257333858de5795946dc4e36669015781a448bdd58789d1b1c73cdd4580c","target":"graph","created_at":"2026-07-05T11:14:34Z","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/2506.02230/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work, we pioneer the study of Machine Unlearning (MU) for Paralinguistic Speech Processing (PSP). We focus on two key PSP tasks: Speech Emotion Recognition (SER) and Depression Detection (DD). To this end, we propose, SISA++, a novel extension to previous state-of-the-art (SOTA) MU method, SISA by merging models trained on different shards with weight-averaging. With such modifications, we show that SISA++ preserves performance more in comparison to SISA after unlearning in benchmark SER (CREMA-D) and DD (E-DAIC) datasets. Also, to guide future research for easier adoption of MU for PS","authors_text":"Arun Balaji Buduru, Girish, Mohd Mujtaba Akhtar, Muskaan Singh, Orchid Chetia Phukan, Rajesh Sharma, Shubham Singh, Swarup Ranjan Behera, Vandana Rajan","cross_cats":["cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-06-02T20:14:22Z","title":"Towards Machine Unlearning for Paralinguistic Speech Processing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02230","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:e3c0121dffba3b8806960fbe281340d50485329df9dcb889182489ac5f322305","target":"record","created_at":"2026-07-05T11:14:34Z","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":"089f2089cbc6b6b46afb9e83cd43dbe78cf3e462857633e0574c7edd3c08541a","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-06-02T20:14:22Z","title_canon_sha256":"f81e0b806f91c96fdf0c60ac26896bd08b2b9f31da912de589d4bb0452f43f34"},"schema_version":"1.0","source":{"id":"2506.02230","kind":"arxiv","version":1}},"canonical_sha256":"c5bbbcdebc815b8e8357ec183483850e761b25a1b08290937a56dd8b869fbaa8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c5bbbcdebc815b8e8357ec183483850e761b25a1b08290937a56dd8b869fbaa8","first_computed_at":"2026-07-05T11:14:34.945825Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:14:34.945825Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/v/nES30VCU+M2KlvlqyhA0lsMi4LyuLMPbIs0v2Rc1l1mgDuE0zSYs4sj1dpIWhIOTP3krHbv/rdVTsTk6fAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:14:34.946296Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.02230","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e3c0121dffba3b8806960fbe281340d50485329df9dcb889182489ac5f322305","sha256:fc57257333858de5795946dc4e36669015781a448bdd58789d1b1c73cdd4580c"],"state_sha256":"259ccc9eb4ba83de5ff536f8817ca0ed85f414ffe409b2db64b4576748137e29"}