{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:VPZPVIYFWG7WUAKSHTPPT33N4C","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":"33460e4a1f91f483a44f2897b036bdc02d6018c2234600a1748f0180e50ce6d9","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T18:43:58Z","title_canon_sha256":"6a65782bff09db5835ced6fd0ddf3dfe5590295fc44719b262d2498d666dcb6b"},"schema_version":"1.0","source":{"id":"2607.08867","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.08867","created_at":"2026-07-13T00:17:23Z"},{"alias_kind":"arxiv_version","alias_value":"2607.08867v1","created_at":"2026-07-13T00:17:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.08867","created_at":"2026-07-13T00:17:23Z"},{"alias_kind":"pith_short_12","alias_value":"VPZPVIYFWG7W","created_at":"2026-07-13T00:17:23Z"},{"alias_kind":"pith_short_16","alias_value":"VPZPVIYFWG7WUAKS","created_at":"2026-07-13T00:17:23Z"},{"alias_kind":"pith_short_8","alias_value":"VPZPVIYF","created_at":"2026-07-13T00:17:23Z"}],"graph_snapshots":[{"event_id":"sha256:a936f13b6bcd8d60fd2dcb72e3ca381655b9202304bf9a87982ba95c6b66f3ab","target":"graph","created_at":"2026-07-13T00:17:23Z","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/2607.08867/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cloud-based deep learning enables large-scale medical image analysis but raises significant privacy concerns when sensitive patient images are outsourced for model development. Image disguising has recently emerged as a promising privacy-enhancing technology (PET) that transforms images into visually unintelligible representations while preserving information for downstream learning. We established a unified framework to evaluate representative methods, DisguisedNets and NeuraCrypt, across four datasets involving classification and semantic segmentation tasks. Our analysis assessed predictive ","authors_text":"Jason Rojas, Jiajie He, Keke Chen, Yash Patel, Yuechun Gu, Zeyun Yu","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T18:43:58Z","title":"Secure-by-Disguise: A Systematic Evaluation of Image Disguising for Confidential Medical Image Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.08867","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:ce5ee39f650fec71d6f1cb98c96e45fd498d3d4903379dc8591a33807b6cf00d","target":"record","created_at":"2026-07-13T00:17:23Z","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":"33460e4a1f91f483a44f2897b036bdc02d6018c2234600a1748f0180e50ce6d9","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T18:43:58Z","title_canon_sha256":"6a65782bff09db5835ced6fd0ddf3dfe5590295fc44719b262d2498d666dcb6b"},"schema_version":"1.0","source":{"id":"2607.08867","kind":"arxiv","version":1}},"canonical_sha256":"abf2faa305b1bf6a01523cdef9ef6de0afbc1fe7d823737aee62589dbb056873","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"abf2faa305b1bf6a01523cdef9ef6de0afbc1fe7d823737aee62589dbb056873","first_computed_at":"2026-07-13T00:17:23.208476Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-13T00:17:23.208476Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"I1D9l+HUCo38Hctmxtkgwp5a3tH0biTcstFjq2LF88zFDuXhDIkZN/xAtHbwM24zi6jmmPdp3pFIATMroBXyCw==","signature_status":"signed_v1","signed_at":"2026-07-13T00:17:23.209446Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.08867","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ce5ee39f650fec71d6f1cb98c96e45fd498d3d4903379dc8591a33807b6cf00d","sha256:a936f13b6bcd8d60fd2dcb72e3ca381655b9202304bf9a87982ba95c6b66f3ab"],"state_sha256":"aefad8170f62a17b0958c34f046466e0540b6280d596c9f94b37e4187f81b250"}