{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:VLR5LVSIYELJIEO6CL2BBKRKYA","short_pith_number":"pith:VLR5LVSI","canonical_record":{"source":{"id":"2408.08471","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-08-16T01:13:36Z","cross_cats_sorted":["cs.AI","cs.CY"],"title_canon_sha256":"35fcc8b93111a93158c11935ae78cb6efb61e93f8bdb2149b15f32f3f3ef67c6","abstract_canon_sha256":"68edfc792dd70deb27898764ed2e0d94f58ca185a27c8a15a9d315f1a331d00c"},"schema_version":"1.0"},"canonical_sha256":"aae3d5d648c1169411de12f410aa2ac00bb4fc1bd96dc3a3b942f0aaa28dbdab","source":{"kind":"arxiv","id":"2408.08471","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.08471","created_at":"2026-07-05T10:02:50Z"},{"alias_kind":"arxiv_version","alias_value":"2408.08471v2","created_at":"2026-07-05T10:02:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.08471","created_at":"2026-07-05T10:02:50Z"},{"alias_kind":"pith_short_12","alias_value":"VLR5LVSIYELJ","created_at":"2026-07-05T10:02:50Z"},{"alias_kind":"pith_short_16","alias_value":"VLR5LVSIYELJIEO6","created_at":"2026-07-05T10:02:50Z"},{"alias_kind":"pith_short_8","alias_value":"VLR5LVSI","created_at":"2026-07-05T10:02:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:VLR5LVSIYELJIEO6CL2BBKRKYA","target":"record","payload":{"canonical_record":{"source":{"id":"2408.08471","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-08-16T01:13:36Z","cross_cats_sorted":["cs.AI","cs.CY"],"title_canon_sha256":"35fcc8b93111a93158c11935ae78cb6efb61e93f8bdb2149b15f32f3f3ef67c6","abstract_canon_sha256":"68edfc792dd70deb27898764ed2e0d94f58ca185a27c8a15a9d315f1a331d00c"},"schema_version":"1.0"},"canonical_sha256":"aae3d5d648c1169411de12f410aa2ac00bb4fc1bd96dc3a3b942f0aaa28dbdab","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:02:50.492978Z","signature_b64":"JxGks8y9Bs8FIBCMdIR9KjK5xRmC6f3x9/DRLz4WulND/2s6sO8T3L2m5LR8lvl4K/R/gtbvDaNahZxjnvpJCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aae3d5d648c1169411de12f410aa2ac00bb4fc1bd96dc3a3b942f0aaa28dbdab","last_reissued_at":"2026-07-05T10:02:50.492337Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:02:50.492337Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.08471","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:02:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xeBqRqc/qhC4ZkFBemTl+MvUVhZWbUfS/ZxaJrJHMQ5jDGZLg5T+0/543Ys2svnAxoPN+vOl78HjE76TAzelAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T04:05:41.931483Z"},"content_sha256":"fbf73cfe02d7197d7abe2c59f251e5428fc8de1ab87f089b11715212a213f8d1","schema_version":"1.0","event_id":"sha256:fbf73cfe02d7197d7abe2c59f251e5428fc8de1ab87f089b11715212a213f8d1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:VLR5LVSIYELJIEO6CL2BBKRKYA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CY"],"primary_cat":"cs.CR","authors_text":"Ferdinando Fioretto, Joonhyuk Ko, Juba Ziani, Matt Williams, Saswat Das","submitted_at":"2024-08-16T01:13:36Z","abstract_excerpt":"Statistical agencies rely on sampling techniques to collect socio-demographic data crucial for policy-making and resource allocation. This paper shows that surveys of important societal relevance introduce sampling errors that unevenly impact group-level estimates, thereby compromising fairness in downstream decisions. To address these issues, this paper introduces an optimization approach modeled on real-world survey design processes, ensuring sampling costs are optimized while maintaining error margins within prescribed tolerances. Additionally, privacy-preserving methods used to determine s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.08471","kind":"arxiv","version":2},"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/2408.08471/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":"2026-07-05T10:02:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fJ3qG3hWjXHYQdBonM6rslk9bN2SgwZqBxQ9pj6z5JY+f8wiDMzxjq4InfZJ0IAubbPl29oeGggajxJoDK7gDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T04:05:41.931892Z"},"content_sha256":"0f5070553e7ca7b73bdc3599244e545e1def2b738f9d7c0011f7d933b542ac34","schema_version":"1.0","event_id":"sha256:0f5070553e7ca7b73bdc3599244e545e1def2b738f9d7c0011f7d933b542ac34"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VLR5LVSIYELJIEO6CL2BBKRKYA/bundle.json","state_url":"https://pith.science/pith/VLR5LVSIYELJIEO6CL2BBKRKYA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VLR5LVSIYELJIEO6CL2BBKRKYA/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":"2026-08-05T04:05:41Z","links":{"resolver":"https://pith.science/pith/VLR5LVSIYELJIEO6CL2BBKRKYA","bundle":"https://pith.science/pith/VLR5LVSIYELJIEO6CL2BBKRKYA/bundle.json","state":"https://pith.science/pith/VLR5LVSIYELJIEO6CL2BBKRKYA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VLR5LVSIYELJIEO6CL2BBKRKYA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VLR5LVSIYELJIEO6CL2BBKRKYA","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":"68edfc792dd70deb27898764ed2e0d94f58ca185a27c8a15a9d315f1a331d00c","cross_cats_sorted":["cs.AI","cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-08-16T01:13:36Z","title_canon_sha256":"35fcc8b93111a93158c11935ae78cb6efb61e93f8bdb2149b15f32f3f3ef67c6"},"schema_version":"1.0","source":{"id":"2408.08471","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.08471","created_at":"2026-07-05T10:02:50Z"},{"alias_kind":"arxiv_version","alias_value":"2408.08471v2","created_at":"2026-07-05T10:02:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.08471","created_at":"2026-07-05T10:02:50Z"},{"alias_kind":"pith_short_12","alias_value":"VLR5LVSIYELJ","created_at":"2026-07-05T10:02:50Z"},{"alias_kind":"pith_short_16","alias_value":"VLR5LVSIYELJIEO6","created_at":"2026-07-05T10:02:50Z"},{"alias_kind":"pith_short_8","alias_value":"VLR5LVSI","created_at":"2026-07-05T10:02:50Z"}],"graph_snapshots":[{"event_id":"sha256:0f5070553e7ca7b73bdc3599244e545e1def2b738f9d7c0011f7d933b542ac34","target":"graph","created_at":"2026-07-05T10:02:50Z","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/2408.08471/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Statistical agencies rely on sampling techniques to collect socio-demographic data crucial for policy-making and resource allocation. This paper shows that surveys of important societal relevance introduce sampling errors that unevenly impact group-level estimates, thereby compromising fairness in downstream decisions. To address these issues, this paper introduces an optimization approach modeled on real-world survey design processes, ensuring sampling costs are optimized while maintaining error margins within prescribed tolerances. Additionally, privacy-preserving methods used to determine s","authors_text":"Ferdinando Fioretto, Joonhyuk Ko, Juba Ziani, Matt Williams, Saswat Das","cross_cats":["cs.AI","cs.CY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-08-16T01:13:36Z","title":"Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.08471","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:fbf73cfe02d7197d7abe2c59f251e5428fc8de1ab87f089b11715212a213f8d1","target":"record","created_at":"2026-07-05T10:02:50Z","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":"68edfc792dd70deb27898764ed2e0d94f58ca185a27c8a15a9d315f1a331d00c","cross_cats_sorted":["cs.AI","cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-08-16T01:13:36Z","title_canon_sha256":"35fcc8b93111a93158c11935ae78cb6efb61e93f8bdb2149b15f32f3f3ef67c6"},"schema_version":"1.0","source":{"id":"2408.08471","kind":"arxiv","version":2}},"canonical_sha256":"aae3d5d648c1169411de12f410aa2ac00bb4fc1bd96dc3a3b942f0aaa28dbdab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aae3d5d648c1169411de12f410aa2ac00bb4fc1bd96dc3a3b942f0aaa28dbdab","first_computed_at":"2026-07-05T10:02:50.492337Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:02:50.492337Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JxGks8y9Bs8FIBCMdIR9KjK5xRmC6f3x9/DRLz4WulND/2s6sO8T3L2m5LR8lvl4K/R/gtbvDaNahZxjnvpJCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:02:50.492978Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.08471","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fbf73cfe02d7197d7abe2c59f251e5428fc8de1ab87f089b11715212a213f8d1","sha256:0f5070553e7ca7b73bdc3599244e545e1def2b738f9d7c0011f7d933b542ac34"],"state_sha256":"a7964786b85ccec4d13a5d1be6a285695bf6afe2cf8c53d59e2959fd807828b8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xbN07Kr4kkTRKPKW9MxwviG5wUDa8oNX01I1LtpkZNrMfwHIpbxEipaqCo0S5wOdeUYp2c3fjR+c1fq/pET0Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T04:05:41.934370Z","bundle_sha256":"7897e2d96c9a67a09dad2d92a3cd42d986e7ad86e09cfec3edf22e7a177cbced"}}