{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:5AM5U6SLOURE23QPG2FAZBP2C5","short_pith_number":"pith:5AM5U6SL","schema_version":"1.0","canonical_sha256":"e819da7a4b75224d6e0f368a0c85fa174d5133d83d7f06bf65dd07cdcfd1cfdf","source":{"kind":"arxiv","id":"2208.02878","version":1},"attestation_state":"computed","paper":{"title":"Differentially Private Counterfactuals via Functional Mechanism","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CR"],"primary_cat":"cs.LG","authors_text":"Fan Yang, Jiahao Chen, Kaixiong Zhou, Qizhang Feng, Xia Hu","submitted_at":"2022-08-04T20:31:22Z","abstract_excerpt":"Counterfactual, serving as one emerging type of model explanation, has attracted tons of attentions recently from both industry and academia. Different from the conventional feature-based explanations (e.g., attributions), counterfactuals are a series of hypothetical samples which can flip model decisions with minimal perturbations on queries. Given valid counterfactuals, humans are capable of reasoning under ``what-if'' circumstances, so as to better understand the model decision boundaries. However, releasing counterfactuals could be detrimental, since it may unintentionally leak sensitive i"},"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":"2208.02878","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-08-04T20:31:22Z","cross_cats_sorted":["cs.AI","cs.CR"],"title_canon_sha256":"e4fe73e3ba7513b7ac08be7449880b39fe610853bba324c339bf921e157d1177","abstract_canon_sha256":"1ca75b296806332322fc042b38b17e0b0302e1981c3d7924389fcd0b8eb15835"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:46:17.022918Z","signature_b64":"WLzmoOgA/bAw2aWC0XzoRyqGQS3GvJa2BDkk0ahsn0HT3OZNS2e4K65bmBKbMVLK85d/6BE7bm7dtzifo8qRCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e819da7a4b75224d6e0f368a0c85fa174d5133d83d7f06bf65dd07cdcfd1cfdf","last_reissued_at":"2026-07-05T04:46:17.022478Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:46:17.022478Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Differentially Private Counterfactuals via Functional Mechanism","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CR"],"primary_cat":"cs.LG","authors_text":"Fan Yang, Jiahao Chen, Kaixiong Zhou, Qizhang Feng, Xia Hu","submitted_at":"2022-08-04T20:31:22Z","abstract_excerpt":"Counterfactual, serving as one emerging type of model explanation, has attracted tons of attentions recently from both industry and academia. Different from the conventional feature-based explanations (e.g., attributions), counterfactuals are a series of hypothetical samples which can flip model decisions with minimal perturbations on queries. Given valid counterfactuals, humans are capable of reasoning under ``what-if'' circumstances, so as to better understand the model decision boundaries. However, releasing counterfactuals could be detrimental, since it may unintentionally leak sensitive i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.02878","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/2208.02878/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":"2208.02878","created_at":"2026-07-05T04:46:17.022531+00:00"},{"alias_kind":"arxiv_version","alias_value":"2208.02878v1","created_at":"2026-07-05T04:46:17.022531+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.02878","created_at":"2026-07-05T04:46:17.022531+00:00"},{"alias_kind":"pith_short_12","alias_value":"5AM5U6SLOURE","created_at":"2026-07-05T04:46:17.022531+00:00"},{"alias_kind":"pith_short_16","alias_value":"5AM5U6SLOURE23QP","created_at":"2026-07-05T04:46:17.022531+00:00"},{"alias_kind":"pith_short_8","alias_value":"5AM5U6SL","created_at":"2026-07-05T04:46:17.022531+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2411.10429","citing_title":"Private Counterfactual Retrieval With Immutable Features","ref_index":14,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/5AM5U6SLOURE23QPG2FAZBP2C5","json":"https://pith.science/pith/5AM5U6SLOURE23QPG2FAZBP2C5.json","graph_json":"https://pith.science/api/pith-number/5AM5U6SLOURE23QPG2FAZBP2C5/graph.json","events_json":"https://pith.science/api/pith-number/5AM5U6SLOURE23QPG2FAZBP2C5/events.json","paper":"https://pith.science/paper/5AM5U6SL"},"agent_actions":{"view_html":"https://pith.science/pith/5AM5U6SLOURE23QPG2FAZBP2C5","download_json":"https://pith.science/pith/5AM5U6SLOURE23QPG2FAZBP2C5.json","view_paper":"https://pith.science/paper/5AM5U6SL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2208.02878&json=true","fetch_graph":"https://pith.science/api/pith-number/5AM5U6SLOURE23QPG2FAZBP2C5/graph.json","fetch_events":"https://pith.science/api/pith-number/5AM5U6SLOURE23QPG2FAZBP2C5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5AM5U6SLOURE23QPG2FAZBP2C5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5AM5U6SLOURE23QPG2FAZBP2C5/action/storage_attestation","attest_author":"https://pith.science/pith/5AM5U6SLOURE23QPG2FAZBP2C5/action/author_attestation","sign_citation":"https://pith.science/pith/5AM5U6SLOURE23QPG2FAZBP2C5/action/citation_signature","submit_replication":"https://pith.science/pith/5AM5U6SLOURE23QPG2FAZBP2C5/action/replication_record"}},"created_at":"2026-07-05T04:46:17.022531+00:00","updated_at":"2026-07-05T04:46:17.022531+00:00"}