{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NJBBGLUE37XMBKJRM5SJXLCD2Q","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":"bcbf8a89eb0b88a378785f87e32c086e372bcf186a89d084224bcbd2ba01d8a9","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"math.OC","submitted_at":"2024-11-04T05:04:18Z","title_canon_sha256":"e61396710e8ba485199a561d1594764da300c9319623e7602b3754ad98227129"},"schema_version":"1.0","source":{"id":"2411.01803","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.01803","created_at":"2026-07-05T09:31:31Z"},{"alias_kind":"arxiv_version","alias_value":"2411.01803v2","created_at":"2026-07-05T09:31:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.01803","created_at":"2026-07-05T09:31:31Z"},{"alias_kind":"pith_short_12","alias_value":"NJBBGLUE37XM","created_at":"2026-07-05T09:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"NJBBGLUE37XMBKJR","created_at":"2026-07-05T09:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"NJBBGLUE","created_at":"2026-07-05T09:31:31Z"}],"graph_snapshots":[{"event_id":"sha256:3d1eb8f3421317e4d5bb93457a63bc435cc354c38be103ba1168f1ee06b4d79f","target":"graph","created_at":"2026-07-05T09:31:31Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2411.01803/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce a framework to accelerate the convergence of gradient-based methods with online learning. The framework learns to scale the gradient at each iteration through an online learning algorithm and provably accelerates gradient-based methods asymptotically. In contrast with previous literature, where convergence is established based on worst-case analysis, our framework provides a strong convergence guarantee with respect to the optimal scaling matrix for the iteration trajectory. For smooth strongly convex optimization, our results provide an $O(\\kappa^\\star \\log(1/\\varepsilon)$) compl","authors_text":"Madeleine Udell, Wenzhi Gao, Ya-Chi Chu, Yinyu Ye","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"math.OC","submitted_at":"2024-11-04T05:04:18Z","title":"Gradient Methods with Online Scaling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.01803","kind":"arxiv","version":2},"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:f66853903ae3d402e06459e2adcdab06e794372f6576e64318f220b608e83aa6","target":"record","created_at":"2026-07-05T09:31:31Z","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":"bcbf8a89eb0b88a378785f87e32c086e372bcf186a89d084224bcbd2ba01d8a9","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"math.OC","submitted_at":"2024-11-04T05:04:18Z","title_canon_sha256":"e61396710e8ba485199a561d1594764da300c9319623e7602b3754ad98227129"},"schema_version":"1.0","source":{"id":"2411.01803","kind":"arxiv","version":2}},"canonical_sha256":"6a42132e84dfeec0a93167649bac43d42c1c4d0b2e969826dabe0078c772061e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6a42132e84dfeec0a93167649bac43d42c1c4d0b2e969826dabe0078c772061e","first_computed_at":"2026-07-05T09:31:31.235942Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:31:31.235942Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wcYmbCIYsMNoFu/wekPIvF4esItx3XemFKraWwuPqrDQi74tBqyp+IKPttDuQ/mnLxqHD5sIsmcliS4De8VxAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:31:31.236460Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.01803","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f66853903ae3d402e06459e2adcdab06e794372f6576e64318f220b608e83aa6","sha256:3d1eb8f3421317e4d5bb93457a63bc435cc354c38be103ba1168f1ee06b4d79f"],"state_sha256":"68dca6d67e69b66d20176810d55fe9b1725ec7531198e7886c8ef6e7b63c3ead"}