{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SBPOKFZGLTA743D5YEBHCX5OYS","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":"18b4b7e53e0ccc5efd934762a80a6750e1a1c13675f6e604960f605e5b6f22db","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-06T09:29:14Z","title_canon_sha256":"3cd797f11c137fe08fdda4990541c0da6b56d644a94aabae69c3ef04caf5f9a7"},"schema_version":"1.0","source":{"id":"2505.03359","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.03359","created_at":"2026-07-05T10:59:14Z"},{"alias_kind":"arxiv_version","alias_value":"2505.03359v1","created_at":"2026-07-05T10:59:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.03359","created_at":"2026-07-05T10:59:14Z"},{"alias_kind":"pith_short_12","alias_value":"SBPOKFZGLTA7","created_at":"2026-07-05T10:59:14Z"},{"alias_kind":"pith_short_16","alias_value":"SBPOKFZGLTA743D5","created_at":"2026-07-05T10:59:14Z"},{"alias_kind":"pith_short_8","alias_value":"SBPOKFZG","created_at":"2026-07-05T10:59:14Z"}],"graph_snapshots":[{"event_id":"sha256:71d55a7a24d5138d9bfdc5881e334deea90a0dd0fcf5a354c62cdd1d12b25015","target":"graph","created_at":"2026-07-05T10:59:14Z","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/2505.03359/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Speech-based AI models are emerging as powerful tools for detecting depression and the presence of Post-traumatic stress disorder (PTSD), offering a non-invasive and cost-effective way to assess mental health. However, these models often struggle with gender bias, which can lead to unfair and inaccurate predictions. In this study, our study addresses this issue by introducing a domain adversarial training approach that explicitly considers gender differences in speech-based depression and PTSD detection. Specifically, we treat different genders as distinct domains and integrate this informatio","authors_text":"Chan-Mo Yang, Dae-Jin Kim, Dawoon Jung, Dong-Ho Lee, Haram Yoon, June-Woo Kim, Sang-Yeol Lee, Sung-Hoon Yoon, Wonkyo Oh","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-06T09:29:14Z","title":"Domain Adversarial Training for Mitigating Gender Bias in Speech-based Mental Health Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.03359","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:c0c8175c037f8087e47bdb64f57ae4120fb9bb7eae8ba187b902bb2df568e775","target":"record","created_at":"2026-07-05T10:59:14Z","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":"18b4b7e53e0ccc5efd934762a80a6750e1a1c13675f6e604960f605e5b6f22db","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-06T09:29:14Z","title_canon_sha256":"3cd797f11c137fe08fdda4990541c0da6b56d644a94aabae69c3ef04caf5f9a7"},"schema_version":"1.0","source":{"id":"2505.03359","kind":"arxiv","version":1}},"canonical_sha256":"905ee517265cc1fe6c7dc102715faec4ae592b27c94eb3dfc40691b52cf97ed5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"905ee517265cc1fe6c7dc102715faec4ae592b27c94eb3dfc40691b52cf97ed5","first_computed_at":"2026-07-05T10:59:14.593166Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:59:14.593166Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RgEIaeA5O7KcopxFphfX3RWsshDWCIiEuf9NjvrqVXD28PJzOzHcbCvzMIqpd7qfiN/bCeqKhC8eX/aA7Yj3Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:59:14.593578Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.03359","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c0c8175c037f8087e47bdb64f57ae4120fb9bb7eae8ba187b902bb2df568e775","sha256:71d55a7a24d5138d9bfdc5881e334deea90a0dd0fcf5a354c62cdd1d12b25015"],"state_sha256":"155098fb46b05398cbb94d3be1c3a8f937a6c005392b38471c1ddc14907f392a"}