{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:RCYQKBU3NA3VMHKWNRRSO4POXK","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":"ee8fced8b89cf1cad0f823412d06baf2680b092535b40183e7d9e56f42c73e0e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2017-03-01T12:27:21Z","title_canon_sha256":"9ed9d7b0bc6fc5e72a06770e5cff2b51d36b6e2321825bdfc6e7c8565e22d335"},"schema_version":"1.0","source":{"id":"1703.00262","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.00262","created_at":"2026-05-18T00:36:43Z"},{"alias_kind":"arxiv_version","alias_value":"1703.00262v3","created_at":"2026-05-18T00:36:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.00262","created_at":"2026-05-18T00:36:43Z"},{"alias_kind":"pith_short_12","alias_value":"RCYQKBU3NA3V","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"RCYQKBU3NA3VMHKW","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"RCYQKBU3","created_at":"2026-05-18T12:31:39Z"}],"graph_snapshots":[{"event_id":"sha256:b29a4e7da96c48f5cb6e96de964b7f7e85a934eb0d910b9d2b5a1641af59f45b","target":"graph","created_at":"2026-05-18T00:36:43Z","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"},"paper":{"abstract_excerpt":"A dynamic sampled stochastic approximated (DS-SA) extragradient method for stochastic variational inequalities (SVI) is proposed that is \\emph{robust} with respect to an unknown Lipschitz constant $L$. To the best of our knowledge, it is the first provably convergent \\emph{robust} SA \\emph{method with variance reduction}, either for SVIs or stochastic optimization, assuming just an unbiased stochastic oracle in a large sample regime. This widens the applicability and improves, up to constants, the desired efficient acceleration of previous variance reduction methods, all of which still assume ","authors_text":"Alejandro Jofr\\'e, Alfredo Iusem, Philip Thompson, Roberto I. Oliveira","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2017-03-01T12:27:21Z","title":"Variance-based stochastic extragradient methods with line search for stochastic variational inequalities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.00262","kind":"arxiv","version":3},"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:fe7035567c3de67dd2db7b9b603244c04bbce08e8e0ef8b816ca0d24c8e98d7d","target":"record","created_at":"2026-05-18T00:36:43Z","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":"ee8fced8b89cf1cad0f823412d06baf2680b092535b40183e7d9e56f42c73e0e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2017-03-01T12:27:21Z","title_canon_sha256":"9ed9d7b0bc6fc5e72a06770e5cff2b51d36b6e2321825bdfc6e7c8565e22d335"},"schema_version":"1.0","source":{"id":"1703.00262","kind":"arxiv","version":3}},"canonical_sha256":"88b105069b6837561d566c632771eeba9dede3fba6414914aa1963060a7283ee","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"88b105069b6837561d566c632771eeba9dede3fba6414914aa1963060a7283ee","first_computed_at":"2026-05-18T00:36:43.406595Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:36:43.406595Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mAyRKPBmo5zx6b97/F/gjiipAX+rKMf/MEjBi+gpfVnXtF75mylJ7Y2sOirAXKNt5Z6aezAUbYycRaPSGYsiAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:36:43.407205Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.00262","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fe7035567c3de67dd2db7b9b603244c04bbce08e8e0ef8b816ca0d24c8e98d7d","sha256:b29a4e7da96c48f5cb6e96de964b7f7e85a934eb0d910b9d2b5a1641af59f45b"],"state_sha256":"7136746941d8900e6efce152f4c0ec87f898a1f75d43f96452e979666c47ed24"}