{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:UE54ND7BILCVUJBP3CPNCKACKK","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":"a1a2f73d4975a4eac7af16514faacd0319ac23c23b52a66a015f07ce22f84c1e","cross_cats_sorted":["cs.AI","cs.CY","cs.LG","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-05-29T19:47:50Z","title_canon_sha256":"5b787f52d6371efe2ac37e353ee188dda98bc9148d010a09f12990d118e58fff"},"schema_version":"1.0","source":{"id":"2505.23968","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.23968","created_at":"2026-07-05T11:12:39Z"},{"alias_kind":"arxiv_version","alias_value":"2505.23968v1","created_at":"2026-07-05T11:12:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.23968","created_at":"2026-07-05T11:12:39Z"},{"alias_kind":"pith_short_12","alias_value":"UE54ND7BILCV","created_at":"2026-07-05T11:12:39Z"},{"alias_kind":"pith_short_16","alias_value":"UE54ND7BILCVUJBP","created_at":"2026-07-05T11:12:39Z"},{"alias_kind":"pith_short_8","alias_value":"UE54ND7B","created_at":"2026-07-05T11:12:39Z"}],"graph_snapshots":[{"event_id":"sha256:2a94b01264a2f72b26f2fa6e70ffbdfc4eac5eac23c4f2faf06efd0dfba1201e","target":"graph","created_at":"2026-07-05T11:12:39Z","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/2505.23968/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cautious predictions -- where a machine learning model abstains when uncertain -- are crucial for limiting harmful errors in safety-critical applications. In this work, we identify a novel threat: a dishonest institution can exploit these mechanisms to discriminate or unjustly deny services under the guise of uncertainty. We demonstrate the practicality of this threat by introducing an uncertainty-inducing attack called Mirage, which deliberately reduces confidence in targeted input regions, thereby covertly disadvantaging specific individuals. At the same time, Mirage maintains high predictiv","authors_text":"Adrian Weller, Ali Shahin Shamsabadi, Nicolas Papernot, Olive Franzese, Stephan Rabanser, Xiao Wang","cross_cats":["cs.AI","cs.CY","cs.LG","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-05-29T19:47:50Z","title":"Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.23968","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":"sha256:92aadbd5d04389f330f884bc1735d315a77defa6f79306e346002e1007bccb88","target":"record","created_at":"2026-07-05T11:12:39Z","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":"a1a2f73d4975a4eac7af16514faacd0319ac23c23b52a66a015f07ce22f84c1e","cross_cats_sorted":["cs.AI","cs.CY","cs.LG","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-05-29T19:47:50Z","title_canon_sha256":"5b787f52d6371efe2ac37e353ee188dda98bc9148d010a09f12990d118e58fff"},"schema_version":"1.0","source":{"id":"2505.23968","kind":"arxiv","version":1}},"canonical_sha256":"a13bc68fe142c55a242fd89ed1280252a19b5b1967574da9da17d40c8d6138d1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a13bc68fe142c55a242fd89ed1280252a19b5b1967574da9da17d40c8d6138d1","first_computed_at":"2026-07-05T11:12:39.277070Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:12:39.277070Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AJO69TrybCt/CH4XdZM28jmTDMAvfGOE8iDgOMPlUV3sPhi3RGHz9o2CDebRkAHJLDapuPIvenzRmMjWbtl4AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:12:39.277614Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.23968","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:92aadbd5d04389f330f884bc1735d315a77defa6f79306e346002e1007bccb88","sha256:2a94b01264a2f72b26f2fa6e70ffbdfc4eac5eac23c4f2faf06efd0dfba1201e"],"state_sha256":"3dcf2e8738224475b47cd65c44aba4af91b52618ea822df8bc8ec381523a2061"}