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A Generalized Santha-Vazirani (GSV) source of type $(\\mathcal{F}, \\mathcal{D})$, introduced by Beigi, Etesami and Gohari (ICALP 2015, SICOMP 2017), is a random sequence $(F_1, \\dots, F_n)$ in $\\mathcal{F}^n$, where $F_i$ is a sample from some distribution $d \\in \\mathcal{D}$ whose choice may depend on $F_1, \\dots, F_{i-1}$.\n  We show that all GSV source types $(\\mathcal{F}, \\mathcal{D})$ fall into one of three categories: (1) non-extractable; (2) extractable with error $n^{-\\Theta(1)}$"},"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":"1709.03053","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CC","submitted_at":"2017-09-10T06:30:38Z","cross_cats_sorted":["math.PR"],"title_canon_sha256":"dd8ac36a00cfefcabd7e69180dad224e88aa7b48b8223aff7867901864a80139","abstract_canon_sha256":"5cbb000fb2f38e0cfe1d6f3a3c3c5f21fa50ae5b37a3bffd0c26862029547ad4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:35:39.543029Z","signature_b64":"CujyfHb/IAE4EF+9oCuBsP8YqTWGVZUgpF8pbtW6BDEp6sXwZlVm0gHoXvESQuiMl/YfDXiTi+0PLEJRVhKJCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0ac5567d2647d715830407489494945346a54ac9d80aa47954bbfdf366d7078d","last_reissued_at":"2026-05-18T00:35:39.542340Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:35:39.542340Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Complete Classification of Generalized Santha-Vazirani Sources","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.PR"],"primary_cat":"cs.CC","authors_text":"Andrej Bogdanov, Omid Etesami, Salman Beigi, Siyao Guo","submitted_at":"2017-09-10T06:30:38Z","abstract_excerpt":"Let $\\mathcal{F}$ be a finite alphabet and $\\mathcal{D}$ be a finite set of distributions over $\\mathcal{F}$. 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