{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:TXDXPYXM67M6G54BCSYISDE3BN","short_pith_number":"pith:TXDXPYXM","schema_version":"1.0","canonical_sha256":"9dc777e2ecf7d9e3778114b0890c9b0b7714ec235da3536b0a5870fd8b9f1c4d","source":{"kind":"arxiv","id":"2608.04365","version":1},"attestation_state":"computed","paper":{"title":"Manipulation-Proof Oblivious Audits against Deceptive Model Providers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","cs.CY"],"primary_cat":"cs.LG","authors_text":"Augustin Godinot, Julien Ferry, S\\'ebastien Gambs, Sofiane Azogagh","submitted_at":"2026-08-05T02:12:54Z","abstract_excerpt":"Audits have emerged as a critical instrument for algorithmic governance, providing a mechanism for external scrutiny and governance of machine learning models. However, ensuring the integrity of such assessments remains a challenging issue. For instance in regulatory contexts, audits are typically declared or easily detected, thus enabling model providers to manipulate the process, whether intentionally or inadvertently. This vulnerability is particularly acute in the context of fairness evaluations, in which providers can often infer sensitive attributes and strategically equalize allocation "},"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":"2608.04365","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-08-05T02:12:54Z","cross_cats_sorted":["cs.CR","cs.CY"],"title_canon_sha256":"ccb711d0b4ed48f49585e6fa64548a6e47c861e34581860dd75ee10a48644dd0","abstract_canon_sha256":"9ee680009dbd64b4845f26e1937974459d11a8170e8e9c8d8886493c928e027b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-06T01:33:50.977258Z","signature_b64":"YnXZquvjVhEpCtyh1zfLFs8Suj7YwwWyG53kisONGTA4KYboXIYV1gqH5Yx+ImqqbJTqA/J3DIlTYh+yAfHGCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9dc777e2ecf7d9e3778114b0890c9b0b7714ec235da3536b0a5870fd8b9f1c4d","last_reissued_at":"2026-08-06T01:33:50.975761Z","signature_status":"signed_v1","first_computed_at":"2026-08-06T01:33:50.975761Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Manipulation-Proof Oblivious Audits against Deceptive Model Providers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","cs.CY"],"primary_cat":"cs.LG","authors_text":"Augustin Godinot, Julien Ferry, S\\'ebastien Gambs, Sofiane Azogagh","submitted_at":"2026-08-05T02:12:54Z","abstract_excerpt":"Audits have emerged as a critical instrument for algorithmic governance, providing a mechanism for external scrutiny and governance of machine learning models. However, ensuring the integrity of such assessments remains a challenging issue. For instance in regulatory contexts, audits are typically declared or easily detected, thus enabling model providers to manipulate the process, whether intentionally or inadvertently. This vulnerability is particularly acute in the context of fairness evaluations, in which providers can often infer sensitive attributes and strategically equalize allocation "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.04365","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/2608.04365/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":"2608.04365","created_at":"2026-08-06T01:33:50.977618+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.04365v1","created_at":"2026-08-06T01:33:50.977618+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.04365","created_at":"2026-08-06T01:33:50.977618+00:00"},{"alias_kind":"pith_short_12","alias_value":"TXDXPYXM67M6","created_at":"2026-08-06T01:33:50.977618+00:00"},{"alias_kind":"pith_short_16","alias_value":"TXDXPYXM67M6G54B","created_at":"2026-08-06T01:33:50.977618+00:00"},{"alias_kind":"pith_short_8","alias_value":"TXDXPYXM","created_at":"2026-08-06T01:33:50.977618+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/TXDXPYXM67M6G54BCSYISDE3BN","json":"https://pith.science/pith/TXDXPYXM67M6G54BCSYISDE3BN.json","graph_json":"https://pith.science/api/pith-number/TXDXPYXM67M6G54BCSYISDE3BN/graph.json","events_json":"https://pith.science/api/pith-number/TXDXPYXM67M6G54BCSYISDE3BN/events.json","paper":"https://pith.science/paper/TXDXPYXM"},"agent_actions":{"view_html":"https://pith.science/pith/TXDXPYXM67M6G54BCSYISDE3BN","download_json":"https://pith.science/pith/TXDXPYXM67M6G54BCSYISDE3BN.json","view_paper":"https://pith.science/paper/TXDXPYXM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.04365&json=true","fetch_graph":"https://pith.science/api/pith-number/TXDXPYXM67M6G54BCSYISDE3BN/graph.json","fetch_events":"https://pith.science/api/pith-number/TXDXPYXM67M6G54BCSYISDE3BN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TXDXPYXM67M6G54BCSYISDE3BN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TXDXPYXM67M6G54BCSYISDE3BN/action/storage_attestation","attest_author":"https://pith.science/pith/TXDXPYXM67M6G54BCSYISDE3BN/action/author_attestation","sign_citation":"https://pith.science/pith/TXDXPYXM67M6G54BCSYISDE3BN/action/citation_signature","submit_replication":"https://pith.science/pith/TXDXPYXM67M6G54BCSYISDE3BN/action/replication_record"}},"created_at":"2026-08-06T01:33:50.977618+00:00","updated_at":"2026-08-06T01:33:50.977618+00:00"}