{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:4PPQPDKA6IVZCVN6CIMFX3TUBI","short_pith_number":"pith:4PPQPDKA","schema_version":"1.0","canonical_sha256":"e3df078d40f22b9155be12185bee740a3f3e73332229554b7772d81d99ff1c2e","source":{"kind":"arxiv","id":"2501.00511","version":1},"attestation_state":"computed","paper":{"title":"Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.OC"],"primary_cat":"cs.LG","authors_text":"Chulhee Yun, Donghwan Kim, Jiseok Chae","submitted_at":"2024-12-31T15:49:25Z","abstract_excerpt":"In minimax optimization, the extragradient (EG) method has been extensively studied because it outperforms the gradient descent-ascent method in convex-concave (C-C) problems. Yet, stochastic EG (SEG) has seen limited success in C-C problems, especially for unconstrained cases. Motivated by the recent progress of shuffling-based stochastic methods, we investigate the convergence of shuffling-based SEG in unconstrained finite-sum minimax problems, in search of convergent shuffling-based SEG. Our analysis reveals that both random reshuffling and the recently proposed flip-flop shuffling alone ca"},"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":"2501.00511","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-31T15:49:25Z","cross_cats_sorted":["math.OC"],"title_canon_sha256":"6edbe97de69775244d996c2e059098099af81f7ee22634516329d31b6d39e083","abstract_canon_sha256":"f27b5bf02d99e8b1a74c51e70c5ad7e9aa743d3501404e5adc11dfc26a60cbe2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:56:06.936888Z","signature_b64":"oOttYOTR4AvSx038GSQ+g8LO8D4SwaGcv1kxVe8EJ78pC7DTMhVVW5irhkJGsCwtVEQdGIsLL6v6Gh7EslIiAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e3df078d40f22b9155be12185bee740a3f3e73332229554b7772d81d99ff1c2e","last_reissued_at":"2026-07-05T09:56:06.936418Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:56:06.936418Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.OC"],"primary_cat":"cs.LG","authors_text":"Chulhee Yun, Donghwan Kim, Jiseok Chae","submitted_at":"2024-12-31T15:49:25Z","abstract_excerpt":"In minimax optimization, the extragradient (EG) method has been extensively studied because it outperforms the gradient descent-ascent method in convex-concave (C-C) problems. Yet, stochastic EG (SEG) has seen limited success in C-C problems, especially for unconstrained cases. Motivated by the recent progress of shuffling-based stochastic methods, we investigate the convergence of shuffling-based SEG in unconstrained finite-sum minimax problems, in search of convergent shuffling-based SEG. Our analysis reveals that both random reshuffling and the recently proposed flip-flop shuffling alone ca"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.00511","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/2501.00511/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":"2501.00511","created_at":"2026-07-05T09:56:06.936479+00:00"},{"alias_kind":"arxiv_version","alias_value":"2501.00511v1","created_at":"2026-07-05T09:56:06.936479+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.00511","created_at":"2026-07-05T09:56:06.936479+00:00"},{"alias_kind":"pith_short_12","alias_value":"4PPQPDKA6IVZ","created_at":"2026-07-05T09:56:06.936479+00:00"},{"alias_kind":"pith_short_16","alias_value":"4PPQPDKA6IVZCVN6","created_at":"2026-07-05T09:56:06.936479+00:00"},{"alias_kind":"pith_short_8","alias_value":"4PPQPDKA","created_at":"2026-07-05T09:56:06.936479+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/4PPQPDKA6IVZCVN6CIMFX3TUBI","json":"https://pith.science/pith/4PPQPDKA6IVZCVN6CIMFX3TUBI.json","graph_json":"https://pith.science/api/pith-number/4PPQPDKA6IVZCVN6CIMFX3TUBI/graph.json","events_json":"https://pith.science/api/pith-number/4PPQPDKA6IVZCVN6CIMFX3TUBI/events.json","paper":"https://pith.science/paper/4PPQPDKA"},"agent_actions":{"view_html":"https://pith.science/pith/4PPQPDKA6IVZCVN6CIMFX3TUBI","download_json":"https://pith.science/pith/4PPQPDKA6IVZCVN6CIMFX3TUBI.json","view_paper":"https://pith.science/paper/4PPQPDKA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2501.00511&json=true","fetch_graph":"https://pith.science/api/pith-number/4PPQPDKA6IVZCVN6CIMFX3TUBI/graph.json","fetch_events":"https://pith.science/api/pith-number/4PPQPDKA6IVZCVN6CIMFX3TUBI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4PPQPDKA6IVZCVN6CIMFX3TUBI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4PPQPDKA6IVZCVN6CIMFX3TUBI/action/storage_attestation","attest_author":"https://pith.science/pith/4PPQPDKA6IVZCVN6CIMFX3TUBI/action/author_attestation","sign_citation":"https://pith.science/pith/4PPQPDKA6IVZCVN6CIMFX3TUBI/action/citation_signature","submit_replication":"https://pith.science/pith/4PPQPDKA6IVZCVN6CIMFX3TUBI/action/replication_record"}},"created_at":"2026-07-05T09:56:06.936479+00:00","updated_at":"2026-07-05T09:56:06.936479+00:00"}