{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:Q4OMLCFHTXVR6SUEWXJFKY5F2R","short_pith_number":"pith:Q4OMLCFH","canonical_record":{"source":{"id":"2410.08111","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-10T16:57:01Z","cross_cats_sorted":["cs.AI","cs.CY","stat.ML"],"title_canon_sha256":"75f189990c83f69acf3541372e0f3ea8091569f1c6e3324439db702f1e61b633","abstract_canon_sha256":"8f8458b43524317caa783cd358b12a68072d38f232e6d64dee4bda24c64ab241"},"schema_version":"1.0"},"canonical_sha256":"871cc588a79deb1f4a84b5d25563a5d47430805a0061288a8584c1490906046b","source":{"kind":"arxiv","id":"2410.08111","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.08111","created_at":"2026-07-05T09:18:48Z"},{"alias_kind":"arxiv_version","alias_value":"2410.08111v1","created_at":"2026-07-05T09:18:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.08111","created_at":"2026-07-05T09:18:48Z"},{"alias_kind":"pith_short_12","alias_value":"Q4OMLCFHTXVR","created_at":"2026-07-05T09:18:48Z"},{"alias_kind":"pith_short_16","alias_value":"Q4OMLCFHTXVR6SUE","created_at":"2026-07-05T09:18:48Z"},{"alias_kind":"pith_short_8","alias_value":"Q4OMLCFH","created_at":"2026-07-05T09:18:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:Q4OMLCFHTXVR6SUEWXJFKY5F2R","target":"record","payload":{"canonical_record":{"source":{"id":"2410.08111","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-10T16:57:01Z","cross_cats_sorted":["cs.AI","cs.CY","stat.ML"],"title_canon_sha256":"75f189990c83f69acf3541372e0f3ea8091569f1c6e3324439db702f1e61b633","abstract_canon_sha256":"8f8458b43524317caa783cd358b12a68072d38f232e6d64dee4bda24c64ab241"},"schema_version":"1.0"},"canonical_sha256":"871cc588a79deb1f4a84b5d25563a5d47430805a0061288a8584c1490906046b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:18:48.718480Z","signature_b64":"/JmrCNNTBR6MEZFCqtYdOIWGUSKpfR7+K6aQkeM9vYYiIR4POuNNvxfsnp91ZW8FStzsmi0fpaBv8INNOHCvCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"871cc588a79deb1f4a84b5d25563a5d47430805a0061288a8584c1490906046b","last_reissued_at":"2026-07-05T09:18:48.717943Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:18:48.717943Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.08111","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:18:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U/YBFUh9fmL1680GPiCYQCsgE1brID07beRYXg+d4D+aCQ99ojONHHkPpIKUIBoxz2SQljbdOS5rUu/3bxwRCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:56:04.207636Z"},"content_sha256":"305fecbf35b4f8fc9bedc5e5227f02e02fbd2633828b0a9f345208ff7be2e93c","schema_version":"1.0","event_id":"sha256:305fecbf35b4f8fc9bedc5e5227f02e02fbd2633828b0a9f345208ff7be2e93c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:Q4OMLCFHTXVR6SUEWXJFKY5F2R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Active Fourier Auditor for Estimating Distributional Properties of ML Models","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.CY","stat.ML"],"primary_cat":"cs.LG","authors_text":"Ayoub Ajarra, Bishwamittra Ghosh, Debabrota Basu","submitted_at":"2024-10-10T16:57:01Z","abstract_excerpt":"With the pervasive deployment of Machine Learning (ML) models in real-world applications, verifying and auditing properties of ML models have become a central concern. In this work, we focus on three properties: robustness, individual fairness, and group fairness. We discuss two approaches for auditing ML model properties: estimation with and without reconstruction of the target model under audit. Though the first approach is studied in the literature, the second approach remains unexplored. For this purpose, we develop a new framework that quantifies different properties in terms of the Fouri"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.08111","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/2410.08111/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:18:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p31onpqF8+KOFTMPgiCTh0nraCIUtB8XCtFmOC01YSbxwyKS5uCRJr1DI/ycPXzdCDtp7MNvl0/tlU11xKVEAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:56:04.208145Z"},"content_sha256":"88aee0064d9a2be372411412cc0d5783c69ff8ca9c3bd41b5d5ae365065750aa","schema_version":"1.0","event_id":"sha256:88aee0064d9a2be372411412cc0d5783c69ff8ca9c3bd41b5d5ae365065750aa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Q4OMLCFHTXVR6SUEWXJFKY5F2R/bundle.json","state_url":"https://pith.science/pith/Q4OMLCFHTXVR6SUEWXJFKY5F2R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Q4OMLCFHTXVR6SUEWXJFKY5F2R/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-07T06:56:04Z","links":{"resolver":"https://pith.science/pith/Q4OMLCFHTXVR6SUEWXJFKY5F2R","bundle":"https://pith.science/pith/Q4OMLCFHTXVR6SUEWXJFKY5F2R/bundle.json","state":"https://pith.science/pith/Q4OMLCFHTXVR6SUEWXJFKY5F2R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Q4OMLCFHTXVR6SUEWXJFKY5F2R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:Q4OMLCFHTXVR6SUEWXJFKY5F2R","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":"8f8458b43524317caa783cd358b12a68072d38f232e6d64dee4bda24c64ab241","cross_cats_sorted":["cs.AI","cs.CY","stat.ML"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-10T16:57:01Z","title_canon_sha256":"75f189990c83f69acf3541372e0f3ea8091569f1c6e3324439db702f1e61b633"},"schema_version":"1.0","source":{"id":"2410.08111","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.08111","created_at":"2026-07-05T09:18:48Z"},{"alias_kind":"arxiv_version","alias_value":"2410.08111v1","created_at":"2026-07-05T09:18:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.08111","created_at":"2026-07-05T09:18:48Z"},{"alias_kind":"pith_short_12","alias_value":"Q4OMLCFHTXVR","created_at":"2026-07-05T09:18:48Z"},{"alias_kind":"pith_short_16","alias_value":"Q4OMLCFHTXVR6SUE","created_at":"2026-07-05T09:18:48Z"},{"alias_kind":"pith_short_8","alias_value":"Q4OMLCFH","created_at":"2026-07-05T09:18:48Z"}],"graph_snapshots":[{"event_id":"sha256:88aee0064d9a2be372411412cc0d5783c69ff8ca9c3bd41b5d5ae365065750aa","target":"graph","created_at":"2026-07-05T09:18:48Z","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/2410.08111/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the pervasive deployment of Machine Learning (ML) models in real-world applications, verifying and auditing properties of ML models have become a central concern. In this work, we focus on three properties: robustness, individual fairness, and group fairness. We discuss two approaches for auditing ML model properties: estimation with and without reconstruction of the target model under audit. Though the first approach is studied in the literature, the second approach remains unexplored. For this purpose, we develop a new framework that quantifies different properties in terms of the Fouri","authors_text":"Ayoub Ajarra, Bishwamittra Ghosh, Debabrota Basu","cross_cats":["cs.AI","cs.CY","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-10T16:57:01Z","title":"Active Fourier Auditor for Estimating Distributional Properties of ML Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.08111","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":"sha256:305fecbf35b4f8fc9bedc5e5227f02e02fbd2633828b0a9f345208ff7be2e93c","target":"record","created_at":"2026-07-05T09:18:48Z","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":"8f8458b43524317caa783cd358b12a68072d38f232e6d64dee4bda24c64ab241","cross_cats_sorted":["cs.AI","cs.CY","stat.ML"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-10T16:57:01Z","title_canon_sha256":"75f189990c83f69acf3541372e0f3ea8091569f1c6e3324439db702f1e61b633"},"schema_version":"1.0","source":{"id":"2410.08111","kind":"arxiv","version":1}},"canonical_sha256":"871cc588a79deb1f4a84b5d25563a5d47430805a0061288a8584c1490906046b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"871cc588a79deb1f4a84b5d25563a5d47430805a0061288a8584c1490906046b","first_computed_at":"2026-07-05T09:18:48.717943Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:18:48.717943Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/JmrCNNTBR6MEZFCqtYdOIWGUSKpfR7+K6aQkeM9vYYiIR4POuNNvxfsnp91ZW8FStzsmi0fpaBv8INNOHCvCw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:18:48.718480Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.08111","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:305fecbf35b4f8fc9bedc5e5227f02e02fbd2633828b0a9f345208ff7be2e93c","sha256:88aee0064d9a2be372411412cc0d5783c69ff8ca9c3bd41b5d5ae365065750aa"],"state_sha256":"0fbc7e265abeecb780aba2054ac4ce6f21d424c393731a624a9a845231b7ca2c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+IcB07VjO46poEVgAOZBWSrynXAb9uPprvDMyLR2Ttid91of1J6alqN0CCz034HvX/3U3752tZHWbtLQrdtVAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T06:56:04.212167Z","bundle_sha256":"d161c7f33b09fe0c90dd3eec1f95e88979370111ae2300f84369fd65293727b2"}}