{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:IA3YRZA5HSR3R4YR3YG3PDKV5Q","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":"fe4595f1f625d9eb7f21b0f4dd1e1c6881458b47f89960433844906afa5c0192","cross_cats_sorted":["cs.CV","cs.CY","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2026-07-08T18:30:50Z","title_canon_sha256":"8596d4f2f2efae45a6fba01c76db2addb52c5ec50648ef2e4349135d794a3e6e"},"schema_version":"1.0","source":{"id":"2607.07852","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.07852","created_at":"2026-07-10T00:19:03Z"},{"alias_kind":"arxiv_version","alias_value":"2607.07852v1","created_at":"2026-07-10T00:19:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.07852","created_at":"2026-07-10T00:19:03Z"},{"alias_kind":"pith_short_12","alias_value":"IA3YRZA5HSR3","created_at":"2026-07-10T00:19:03Z"},{"alias_kind":"pith_short_16","alias_value":"IA3YRZA5HSR3R4YR","created_at":"2026-07-10T00:19:03Z"},{"alias_kind":"pith_short_8","alias_value":"IA3YRZA5","created_at":"2026-07-10T00:19:03Z"}],"graph_snapshots":[{"event_id":"sha256:148a1bc4b0fbd89877a1c04f0441d3b6b92ecdf31f58a6144beec08c0995ba0c","target":"graph","created_at":"2026-07-10T00:19:03Z","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/2607.07852/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automated segmentation of cervical-spine MRI is increasingly used in clinical workflows, yet no fairness audit exists for this anatomy. We show that auditing these segmentation tasks is complicated by a common property of modern segmentation datasets: expert-annotated gold labels are expensive, so abundant machine-generated (silver) labels are added to limit annotation cost. This matters because the reference used to judge a model can itself be biased. In this study, we present the first fairness audit of cervical-spine MRI segmentation across sex, age, and race using the CSpineSeg dataset. We","authors_text":"Aasa Feragen, Aditya Parikh, Linus Juni","cross_cats":["cs.CV","cs.CY","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2026-07-08T18:30:50Z","title":"False Confidence: Automated Labels Confound Fairness Audits in Cervical Spine Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.07852","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":"sha256:8cea9fbf00424665bc7e81e56004156d4626a04b717f9537daf0796c7d8c5a1b","target":"record","created_at":"2026-07-10T00:19:03Z","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":"fe4595f1f625d9eb7f21b0f4dd1e1c6881458b47f89960433844906afa5c0192","cross_cats_sorted":["cs.CV","cs.CY","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2026-07-08T18:30:50Z","title_canon_sha256":"8596d4f2f2efae45a6fba01c76db2addb52c5ec50648ef2e4349135d794a3e6e"},"schema_version":"1.0","source":{"id":"2607.07852","kind":"arxiv","version":1}},"canonical_sha256":"403788e41d3ca3b8f311de0db78d55ec28cfcd1b0fb131c8926567695624b2c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"403788e41d3ca3b8f311de0db78d55ec28cfcd1b0fb131c8926567695624b2c6","first_computed_at":"2026-07-10T00:19:03.067615Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-10T00:19:03.067615Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2zG02xfY5FxExnBE7tQGfW//OnmK9248JM8zUus960vcQpWEdWCUeMoIh0l48uAK8MNzcI5V5pXOdi+0i3u0AA==","signature_status":"signed_v1","signed_at":"2026-07-10T00:19:03.067970Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.07852","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8cea9fbf00424665bc7e81e56004156d4626a04b717f9537daf0796c7d8c5a1b","sha256:148a1bc4b0fbd89877a1c04f0441d3b6b92ecdf31f58a6144beec08c0995ba0c"],"state_sha256":"b28688d96e5309bde143ddae381305d27912bcadce22d79f29656d05ab2c1bd8"}