{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:ETRKZO7PYF7GOJ3WRPQYBFYTF4","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":"93e35478e2c5c42bbe424d118b7b91d9d76c46b4d474c097bfff2f9251c1d3af","cross_cats_sorted":["math.OC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-02-14T18:12:38Z","title_canon_sha256":"e6ef9583b78c205c5cda495fb5ce7cf9ed5efb0da11402fe3838e58fb9944190"},"schema_version":"1.0","source":{"id":"2202.06915","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.06915","created_at":"2026-07-05T04:35:43Z"},{"alias_kind":"arxiv_version","alias_value":"2202.06915v2","created_at":"2026-07-05T04:35:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.06915","created_at":"2026-07-05T04:35:43Z"},{"alias_kind":"pith_short_12","alias_value":"ETRKZO7PYF7G","created_at":"2026-07-05T04:35:43Z"},{"alias_kind":"pith_short_16","alias_value":"ETRKZO7PYF7GOJ3W","created_at":"2026-07-05T04:35:43Z"},{"alias_kind":"pith_short_8","alias_value":"ETRKZO7P","created_at":"2026-07-05T04:35:43Z"}],"graph_snapshots":[{"event_id":"sha256:db0f5951175df6df4c4dd34ec7a262e3a76e3d69ee1df45abd82877e3b3dabfe","target":"graph","created_at":"2026-07-05T04:35:43Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2202.06915/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This work provides test error bounds for iterative fixed point methods on linear predictors -- specifically, stochastic and batch mirror descent (MD), and stochastic temporal difference learning (TD) -- with two core contributions: (a) a single proof technique which gives high probability guarantees despite the absence of projections, regularization, or any equivalents, even when optima have large or infinite norm, for quadratically-bounded losses (e.g., providing unified treatment of squared and logistic losses); (b) locally-adapted rates which depend not on global problem structure (such as ","authors_text":"Matus Telgarsky","cross_cats":["math.OC","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-02-14T18:12:38Z","title":"Stochastic linear optimization never overfits with quadratically-bounded losses on general data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.06915","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:b477a45176328cd7bed291af14edd482cf1b216e854ff1c179ed633fad48a975","target":"record","created_at":"2026-07-05T04:35:43Z","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":"93e35478e2c5c42bbe424d118b7b91d9d76c46b4d474c097bfff2f9251c1d3af","cross_cats_sorted":["math.OC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-02-14T18:12:38Z","title_canon_sha256":"e6ef9583b78c205c5cda495fb5ce7cf9ed5efb0da11402fe3838e58fb9944190"},"schema_version":"1.0","source":{"id":"2202.06915","kind":"arxiv","version":2}},"canonical_sha256":"24e2acbbefc17e6727768be18097132f0927bccd8b509e246f2c032d8a0cd7d2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"24e2acbbefc17e6727768be18097132f0927bccd8b509e246f2c032d8a0cd7d2","first_computed_at":"2026-07-05T04:35:43.829320Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:35:43.829320Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dMiWsSkJne4lk9plAK13CfFggA5sRU5D21zE8yXEaZf9xT3srvCN4BmNy6ctQ0M0yFamO3ufcdoNQzt9k6pKAg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:35:43.829706Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.06915","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b477a45176328cd7bed291af14edd482cf1b216e854ff1c179ed633fad48a975","sha256:db0f5951175df6df4c4dd34ec7a262e3a76e3d69ee1df45abd82877e3b3dabfe"],"state_sha256":"a9ce570a1c206a478373c1e1044aaa198ed0259ae3779c409c4bab3ed2f0a634"}