{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:BQL4NURDZZ2TSW5GCR2ODJMFTN","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":"96dcc8eb9ab172783cf129c748d6268d6f251adae369ea87c85a93f614b87266","cross_cats_sorted":["math.OC"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-29T09:55:41Z","title_canon_sha256":"d1634e855cba9f1ec16d14079c95d3a3404bcdd8b9ce5efc835186593d9e16b6"},"schema_version":"1.0","source":{"id":"2310.18955","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.18955","created_at":"2026-07-05T09:26:22Z"},{"alias_kind":"arxiv_version","alias_value":"2310.18955v3","created_at":"2026-07-05T09:26:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.18955","created_at":"2026-07-05T09:26:22Z"},{"alias_kind":"pith_short_12","alias_value":"BQL4NURDZZ2T","created_at":"2026-07-05T09:26:22Z"},{"alias_kind":"pith_short_16","alias_value":"BQL4NURDZZ2TSW5G","created_at":"2026-07-05T09:26:22Z"},{"alias_kind":"pith_short_8","alias_value":"BQL4NURD","created_at":"2026-07-05T09:26:22Z"}],"graph_snapshots":[{"event_id":"sha256:dfcbd01b08a9667d2c13857d6ebf600f8adae05dc7d6b9323f60ea8cadc9848c","target":"graph","created_at":"2026-07-05T09:26:22Z","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/2310.18955/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A well-studied generalization of the standard online convex optimization (OCO) framework is constrained online convex optimization (COCO). In COCO, on every round, a convex cost function and a convex constraint function are revealed to the learner after it chooses the action for that round. The objective is to design an online learning policy that simultaneously achieves a small regret while ensuring a small cumulative constraint violation (CCV) against an adaptive adversary interacting over a horizon of length $T$. A long-standing open question in COCO is whether an online policy can simultan","authors_text":"Abhishek Sinha, Rahul Vaze","cross_cats":["math.OC"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-29T09:55:41Z","title":"Optimal Algorithms for Online Convex Optimization with Adversarial Constraints"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.18955","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":"sha256:323d2ef293396a84f594eeda844d197c3e25f2568984cf2d5f57184ed285a213","target":"record","created_at":"2026-07-05T09:26:22Z","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":"96dcc8eb9ab172783cf129c748d6268d6f251adae369ea87c85a93f614b87266","cross_cats_sorted":["math.OC"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-29T09:55:41Z","title_canon_sha256":"d1634e855cba9f1ec16d14079c95d3a3404bcdd8b9ce5efc835186593d9e16b6"},"schema_version":"1.0","source":{"id":"2310.18955","kind":"arxiv","version":3}},"canonical_sha256":"0c17c6d223ce75395ba61474e1a5859b44068757d19bb55316d61792e1b0f7b0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0c17c6d223ce75395ba61474e1a5859b44068757d19bb55316d61792e1b0f7b0","first_computed_at":"2026-07-05T09:26:22.640353Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:26:22.640353Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MU3eNc9rOfg0gcEj7HNObAB49SXH5aC2sD+z6rfyU74HfIn+UZzeUz9YDNXwk5cj36lhFao9Qni6rxEuOjJTAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:26:22.640810Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.18955","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:323d2ef293396a84f594eeda844d197c3e25f2568984cf2d5f57184ed285a213","sha256:dfcbd01b08a9667d2c13857d6ebf600f8adae05dc7d6b9323f60ea8cadc9848c"],"state_sha256":"886c581c4d266a4f2e8c704b67ecf3dd66cc32f204a9c5ed864ee4350018f2b4"}