{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:SZK57OWGP4RLVIVEMJ4DPGAF4P","short_pith_number":"pith:SZK57OWG","schema_version":"1.0","canonical_sha256":"9655dfbac67f22baa2a46278379805e3e92876448cc2d8bb952b3748e71bc2c2","source":{"kind":"arxiv","id":"1712.07196","version":2},"attestation_state":"computed","paper":{"title":"Calibrating Noise to Variance in Adaptive Data Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","cs.DS","cs.IT","math.IT"],"primary_cat":"cs.LG","authors_text":"Thomas Steinke, Vitaly Feldman","submitted_at":"2017-12-19T20:42:39Z","abstract_excerpt":"Datasets are often used multiple times and each successive analysis may depend on the outcome of previous analyses. Standard techniques for ensuring generalization and statistical validity do not account for this adaptive dependence. A recent line of work studies the challenges that arise from such adaptive data reuse by considering the problem of answering a sequence of \"queries\" about the data distribution where each query may depend arbitrarily on answers to previous queries.\n  The strongest results obtained for this problem rely on differential privacy -- a strong notion of algorithmic sta"},"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":"1712.07196","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-12-19T20:42:39Z","cross_cats_sorted":["cs.CR","cs.DS","cs.IT","math.IT"],"title_canon_sha256":"7662706cc9329b6c0fe92889afc62f3d0c49e7663a5f3381326a366edb450983","abstract_canon_sha256":"f73de457d7a8693e49b03ddcc5e784d239d0bdba0e029827e192d44415794b24"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:13:37.476650Z","signature_b64":"LfKXGemqNUfjso4U6Uw+8nDXFFX4B10MDUgt4+uSIWynYrrYqd8AlSqn7vO/Zt+0MVDhkSIqNaDZ4/YW6g82Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9655dfbac67f22baa2a46278379805e3e92876448cc2d8bb952b3748e71bc2c2","last_reissued_at":"2026-05-18T00:13:37.476005Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:13:37.476005Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Calibrating Noise to Variance in Adaptive Data Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","cs.DS","cs.IT","math.IT"],"primary_cat":"cs.LG","authors_text":"Thomas Steinke, Vitaly Feldman","submitted_at":"2017-12-19T20:42:39Z","abstract_excerpt":"Datasets are often used multiple times and each successive analysis may depend on the outcome of previous analyses. Standard techniques for ensuring generalization and statistical validity do not account for this adaptive dependence. A recent line of work studies the challenges that arise from such adaptive data reuse by considering the problem of answering a sequence of \"queries\" about the data distribution where each query may depend arbitrarily on answers to previous queries.\n  The strongest results obtained for this problem rely on differential privacy -- a strong notion of algorithmic sta"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.07196","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":""},"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":"1712.07196","created_at":"2026-05-18T00:13:37.476096+00:00"},{"alias_kind":"arxiv_version","alias_value":"1712.07196v2","created_at":"2026-05-18T00:13:37.476096+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.07196","created_at":"2026-05-18T00:13:37.476096+00:00"},{"alias_kind":"pith_short_12","alias_value":"SZK57OWGP4RL","created_at":"2026-05-18T12:31:43.269735+00:00"},{"alias_kind":"pith_short_16","alias_value":"SZK57OWGP4RLVIVE","created_at":"2026-05-18T12:31:43.269735+00:00"},{"alias_kind":"pith_short_8","alias_value":"SZK57OWG","created_at":"2026-05-18T12:31:43.269735+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/SZK57OWGP4RLVIVEMJ4DPGAF4P","json":"https://pith.science/pith/SZK57OWGP4RLVIVEMJ4DPGAF4P.json","graph_json":"https://pith.science/api/pith-number/SZK57OWGP4RLVIVEMJ4DPGAF4P/graph.json","events_json":"https://pith.science/api/pith-number/SZK57OWGP4RLVIVEMJ4DPGAF4P/events.json","paper":"https://pith.science/paper/SZK57OWG"},"agent_actions":{"view_html":"https://pith.science/pith/SZK57OWGP4RLVIVEMJ4DPGAF4P","download_json":"https://pith.science/pith/SZK57OWGP4RLVIVEMJ4DPGAF4P.json","view_paper":"https://pith.science/paper/SZK57OWG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1712.07196&json=true","fetch_graph":"https://pith.science/api/pith-number/SZK57OWGP4RLVIVEMJ4DPGAF4P/graph.json","fetch_events":"https://pith.science/api/pith-number/SZK57OWGP4RLVIVEMJ4DPGAF4P/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SZK57OWGP4RLVIVEMJ4DPGAF4P/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SZK57OWGP4RLVIVEMJ4DPGAF4P/action/storage_attestation","attest_author":"https://pith.science/pith/SZK57OWGP4RLVIVEMJ4DPGAF4P/action/author_attestation","sign_citation":"https://pith.science/pith/SZK57OWGP4RLVIVEMJ4DPGAF4P/action/citation_signature","submit_replication":"https://pith.science/pith/SZK57OWGP4RLVIVEMJ4DPGAF4P/action/replication_record"}},"created_at":"2026-05-18T00:13:37.476096+00:00","updated_at":"2026-05-18T00:13:37.476096+00:00"}