{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:UTPLHNCGY6R3DGUEVS6245ZUUJ","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":"417f04815f6eb4fa07160be0ad7b1bc188eb3363916f07c1ecf4a7acc5e027ca","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-07T20:46:48Z","title_canon_sha256":"f37fdf5747b4decdd91b11aa50608a7e8439b0022e827f79e6288f1f04c66e1b"},"schema_version":"1.0","source":{"id":"2505.04796","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.04796","created_at":"2026-07-05T11:08:20Z"},{"alias_kind":"arxiv_version","alias_value":"2505.04796v2","created_at":"2026-07-05T11:08:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.04796","created_at":"2026-07-05T11:08:20Z"},{"alias_kind":"pith_short_12","alias_value":"UTPLHNCGY6R3","created_at":"2026-07-05T11:08:20Z"},{"alias_kind":"pith_short_16","alias_value":"UTPLHNCGY6R3DGUE","created_at":"2026-07-05T11:08:20Z"},{"alias_kind":"pith_short_8","alias_value":"UTPLHNCG","created_at":"2026-07-05T11:08:20Z"}],"graph_snapshots":[{"event_id":"sha256:4948cf198b55e314c31e2515f4a0388b93217b778b0b302602b9cc41b3cc8739","target":"graph","created_at":"2026-07-05T11:08:20Z","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/2505.04796/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Among the many technical challenges to enforcing AI regulations, one crucial yet underexplored problem is the risk of audit manipulation. This manipulation occurs when a platform deliberately alters its answers to a regulator to pass an audit without modifying its answers to other users. In this paper, we introduce a novel approach to manipulation-proof auditing by taking into account the auditor's prior knowledge of the task solved by the platform. We first demonstrate that regulators must not rely on public priors (e.g. a public dataset), as platforms could easily fool the auditor in such ca","authors_text":"Anne-Marie Kermarrec, Augustin Godinot, Erwan Le Merrer, Gilles Tredan, Jade Garcia Bourr\\'ee, Martijn de Vos, Milos Vujasinovic, Sayan Biswas","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-07T20:46:48Z","title":"Robust ML Auditing using Prior Knowledge"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.04796","kind":"arxiv","version":2},"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:f719718ab5393361e73d7c3d5c7470840af0ec7423a4e81746da900989731b24","target":"record","created_at":"2026-07-05T11:08:20Z","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":"417f04815f6eb4fa07160be0ad7b1bc188eb3363916f07c1ecf4a7acc5e027ca","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-07T20:46:48Z","title_canon_sha256":"f37fdf5747b4decdd91b11aa50608a7e8439b0022e827f79e6288f1f04c66e1b"},"schema_version":"1.0","source":{"id":"2505.04796","kind":"arxiv","version":2}},"canonical_sha256":"a4deb3b446c7a3b19a84acbdae7734a26d6d27dabcef6d17b5215edc8ff48f16","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a4deb3b446c7a3b19a84acbdae7734a26d6d27dabcef6d17b5215edc8ff48f16","first_computed_at":"2026-07-05T11:08:20.193431Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:08:20.193431Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cX9WZTAlaiyDbMYp+jDCEwgnd/sLlVUx5akgZsKFWMcoaQ7WlGOqsEtvityaejw2+IabraEYX9BruUWsIvorAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:08:20.193978Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.04796","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f719718ab5393361e73d7c3d5c7470840af0ec7423a4e81746da900989731b24","sha256:4948cf198b55e314c31e2515f4a0388b93217b778b0b302602b9cc41b3cc8739"],"state_sha256":"8450fa84187415364f2735e5f4f792dcf8536ebaccfd0bc534463b881b5108ab"}