{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:JI42FZSMBX5TTK3DJITRVIZ75H","short_pith_number":"pith:JI42FZSM","schema_version":"1.0","canonical_sha256":"4a39a2e64c0dfb39ab634a271aa33fe9d73e81e3ad63a4270128ec1c3facba4e","source":{"kind":"arxiv","id":"2606.06647","version":1},"attestation_state":"computed","paper":{"title":"The Identity Trap in EEG Foundation Models: A Diagnostic Audit","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.NC"],"primary_cat":"cs.LG","authors_text":"Jun-You Lin, Tzyy-Ping Jung, Ying Choon Wu","submitted_at":"2026-06-04T18:54:34Z","abstract_excerpt":"Objective. EEG foundation models (FMs) report strong accuracy on clinical resting-state EEG. However, high accuracy under subject-disjoint cross-validation remains ambiguous: it can reflect a genuine clinical biomarker, or subject-identity features that correlate with the label. We name this the Identity Trap and ask whether it can be diagnosed at the representation level before fine-tuning.\n  Approach. We propose FMScope, a frozen-representation protocol packaging five diagnostics: variance decomposition, subject-axis erasure, aperiodic 1/f ablation, layer-wise label probing, and within-subje"},"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":"2606.06647","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-04T18:54:34Z","cross_cats_sorted":["q-bio.NC"],"title_canon_sha256":"bc98677691a3bf0b64445f8ab1ac95d3cef6332969327fa6ed31013e9ceb6eec","abstract_canon_sha256":"8ddc34a9077e1c23021a9b34f04ae20339eadb811d0fd170854fc30d2de06c3a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-08T01:04:20.809155Z","signature_b64":"MItzduyak8y8wGiFTGPrMoLftwtFnRU105B6+kCI0F7vwOtWQ1bBAkLVhCL/Ps+/hpxj97f6VtsdllBtGGLpBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4a39a2e64c0dfb39ab634a271aa33fe9d73e81e3ad63a4270128ec1c3facba4e","last_reissued_at":"2026-06-08T01:04:20.808177Z","signature_status":"signed_v1","first_computed_at":"2026-06-08T01:04:20.808177Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Identity Trap in EEG Foundation Models: A Diagnostic Audit","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.NC"],"primary_cat":"cs.LG","authors_text":"Jun-You Lin, Tzyy-Ping Jung, Ying Choon Wu","submitted_at":"2026-06-04T18:54:34Z","abstract_excerpt":"Objective. EEG foundation models (FMs) report strong accuracy on clinical resting-state EEG. However, high accuracy under subject-disjoint cross-validation remains ambiguous: it can reflect a genuine clinical biomarker, or subject-identity features that correlate with the label. We name this the Identity Trap and ask whether it can be diagnosed at the representation level before fine-tuning.\n  Approach. We propose FMScope, a frozen-representation protocol packaging five diagnostics: variance decomposition, subject-axis erasure, aperiodic 1/f ablation, layer-wise label probing, and within-subje"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.06647","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/2606.06647/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":"2606.06647","created_at":"2026-06-08T01:04:20.808285+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.06647v1","created_at":"2026-06-08T01:04:20.808285+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.06647","created_at":"2026-06-08T01:04:20.808285+00:00"},{"alias_kind":"pith_short_12","alias_value":"JI42FZSMBX5T","created_at":"2026-06-08T01:04:20.808285+00:00"},{"alias_kind":"pith_short_16","alias_value":"JI42FZSMBX5TTK3D","created_at":"2026-06-08T01:04:20.808285+00:00"},{"alias_kind":"pith_short_8","alias_value":"JI42FZSM","created_at":"2026-06-08T01:04:20.808285+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/JI42FZSMBX5TTK3DJITRVIZ75H","json":"https://pith.science/pith/JI42FZSMBX5TTK3DJITRVIZ75H.json","graph_json":"https://pith.science/api/pith-number/JI42FZSMBX5TTK3DJITRVIZ75H/graph.json","events_json":"https://pith.science/api/pith-number/JI42FZSMBX5TTK3DJITRVIZ75H/events.json","paper":"https://pith.science/paper/JI42FZSM"},"agent_actions":{"view_html":"https://pith.science/pith/JI42FZSMBX5TTK3DJITRVIZ75H","download_json":"https://pith.science/pith/JI42FZSMBX5TTK3DJITRVIZ75H.json","view_paper":"https://pith.science/paper/JI42FZSM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.06647&json=true","fetch_graph":"https://pith.science/api/pith-number/JI42FZSMBX5TTK3DJITRVIZ75H/graph.json","fetch_events":"https://pith.science/api/pith-number/JI42FZSMBX5TTK3DJITRVIZ75H/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JI42FZSMBX5TTK3DJITRVIZ75H/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JI42FZSMBX5TTK3DJITRVIZ75H/action/storage_attestation","attest_author":"https://pith.science/pith/JI42FZSMBX5TTK3DJITRVIZ75H/action/author_attestation","sign_citation":"https://pith.science/pith/JI42FZSMBX5TTK3DJITRVIZ75H/action/citation_signature","submit_replication":"https://pith.science/pith/JI42FZSMBX5TTK3DJITRVIZ75H/action/replication_record"}},"created_at":"2026-06-08T01:04:20.808285+00:00","updated_at":"2026-06-08T01:04:20.808285+00:00"}