{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:GZ7M5NSWOCKRTBLAX37W5SRHFN","short_pith_number":"pith:GZ7M5NSW","schema_version":"1.0","canonical_sha256":"367eceb6567095198560beff6eca272b7cddc454106f275550ee94c03ce8ab79","source":{"kind":"arxiv","id":"2606.21584","version":1},"attestation_state":"computed","paper":{"title":"When EER Hides Deployment Failure: Auditing Threshold Transfer and Unlabeled Score Calibration for Speech Deepfake Detectors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SD","authors_text":"Jingwen Zhou, Mingzhe Wang","submitted_at":"2026-06-19T16:39:36Z","abstract_excerpt":"Speech deepfake countermeasures (CMs) are compared almost exclusively by equal error rate (EER), a metric computed at an oracle threshold chosen on the labeled test set. Deployed CMs enjoy no such oracle: a threshold must be fixed in advance and applied to unlabeled target data. We audit this gap with a frozen state-of-the-art SSL-AASIST detector trained on ASVspoof 2019 LA. While its in-domain EER is 0.21%, transferring its LA-calibrated threshold to the In-the-Wild corpus yields a half total error rate (HTER) of 39.5%, with 78.7% of bona fide speech rejected, even though the In-the-Wild EER "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.21584","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2026-06-19T16:39:36Z","cross_cats_sorted":[],"title_canon_sha256":"2ddb16950eec18c06576c4e2c1a2ecb02578ae6f4a403f5eb32c46a91c0e600c","abstract_canon_sha256":"839b2748cfc721a83088353c0c105c36845b602dc3c2d407657eb8a5b4607284"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T01:13:15.375739Z","signature_b64":"DPEYkVnS/CDK6zM3BkB3MVQvjuQjIaWmX39ThyP8M3x6j603wWEAAdsB3qYFNC338wznK2/1JM6vjWE+LB6kAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"367eceb6567095198560beff6eca272b7cddc454106f275550ee94c03ce8ab79","last_reissued_at":"2026-06-23T01:13:15.375204Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T01:13:15.375204Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"When EER Hides Deployment Failure: Auditing Threshold Transfer and Unlabeled Score Calibration for Speech Deepfake Detectors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SD","authors_text":"Jingwen Zhou, Mingzhe Wang","submitted_at":"2026-06-19T16:39:36Z","abstract_excerpt":"Speech deepfake countermeasures (CMs) are compared almost exclusively by equal error rate (EER), a metric computed at an oracle threshold chosen on the labeled test set. Deployed CMs enjoy no such oracle: a threshold must be fixed in advance and applied to unlabeled target data. We audit this gap with a frozen state-of-the-art SSL-AASIST detector trained on ASVspoof 2019 LA. While its in-domain EER is 0.21%, transferring its LA-calibrated threshold to the In-the-Wild corpus yields a half total error rate (HTER) of 39.5%, with 78.7% of bona fide speech rejected, even though the In-the-Wild EER "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.21584","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.21584/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.21584","created_at":"2026-06-23T01:13:15.375292+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.21584v1","created_at":"2026-06-23T01:13:15.375292+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.21584","created_at":"2026-06-23T01:13:15.375292+00:00"},{"alias_kind":"pith_short_12","alias_value":"GZ7M5NSWOCKR","created_at":"2026-06-23T01:13:15.375292+00:00"},{"alias_kind":"pith_short_16","alias_value":"GZ7M5NSWOCKRTBLA","created_at":"2026-06-23T01:13:15.375292+00:00"},{"alias_kind":"pith_short_8","alias_value":"GZ7M5NSW","created_at":"2026-06-23T01:13:15.375292+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/GZ7M5NSWOCKRTBLAX37W5SRHFN","json":"https://pith.science/pith/GZ7M5NSWOCKRTBLAX37W5SRHFN.json","graph_json":"https://pith.science/api/pith-number/GZ7M5NSWOCKRTBLAX37W5SRHFN/graph.json","events_json":"https://pith.science/api/pith-number/GZ7M5NSWOCKRTBLAX37W5SRHFN/events.json","paper":"https://pith.science/paper/GZ7M5NSW"},"agent_actions":{"view_html":"https://pith.science/pith/GZ7M5NSWOCKRTBLAX37W5SRHFN","download_json":"https://pith.science/pith/GZ7M5NSWOCKRTBLAX37W5SRHFN.json","view_paper":"https://pith.science/paper/GZ7M5NSW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.21584&json=true","fetch_graph":"https://pith.science/api/pith-number/GZ7M5NSWOCKRTBLAX37W5SRHFN/graph.json","fetch_events":"https://pith.science/api/pith-number/GZ7M5NSWOCKRTBLAX37W5SRHFN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GZ7M5NSWOCKRTBLAX37W5SRHFN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GZ7M5NSWOCKRTBLAX37W5SRHFN/action/storage_attestation","attest_author":"https://pith.science/pith/GZ7M5NSWOCKRTBLAX37W5SRHFN/action/author_attestation","sign_citation":"https://pith.science/pith/GZ7M5NSWOCKRTBLAX37W5SRHFN/action/citation_signature","submit_replication":"https://pith.science/pith/GZ7M5NSWOCKRTBLAX37W5SRHFN/action/replication_record"}},"created_at":"2026-06-23T01:13:15.375292+00:00","updated_at":"2026-06-23T01:13:15.375292+00:00"}