{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6PB4UTN4BWNMZLGFXO2JCFJLBS","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":"8965d3fd28234215c75b4dfee0ca024630ada1e0d47f125591c5486eddabdefd","cross_cats_sorted":["cs.LG","cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2024-04-03T18:16:47Z","title_canon_sha256":"2365aed5b816cbf3e0e4293c58c8ce7a9cfa29c3aab39113b92a076630636435"},"schema_version":"1.0","source":{"id":"2404.02988","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.02988","created_at":"2026-07-05T08:04:04Z"},{"alias_kind":"arxiv_version","alias_value":"2404.02988v1","created_at":"2026-07-05T08:04:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.02988","created_at":"2026-07-05T08:04:04Z"},{"alias_kind":"pith_short_12","alias_value":"6PB4UTN4BWNM","created_at":"2026-07-05T08:04:04Z"},{"alias_kind":"pith_short_16","alias_value":"6PB4UTN4BWNMZLGF","created_at":"2026-07-05T08:04:04Z"},{"alias_kind":"pith_short_8","alias_value":"6PB4UTN4","created_at":"2026-07-05T08:04:04Z"}],"graph_snapshots":[{"event_id":"sha256:04d48e87c5bffc22d37527590b259d8bc5a6240ca708d87751ca571b7764c73a","target":"graph","created_at":"2026-07-05T08:04:04Z","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/2404.02988/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Considering non-stationary environments in online optimization enables decision-maker to effectively adapt to changes and improve its performance over time. In such cases, it is favorable to adopt a strategy that minimizes the negative impact of change to avoid potentially risky situations. In this paper, we investigate risk-averse online optimization where the distribution of the random cost changes over time. We minimize risk-averse objective function using the Conditional Value at Risk (CVaR) as risk measure. Due to the difficulty in obtaining the exact CVaR gradient, we employ a zeroth-ord","authors_text":"Karl H. Johansson, Michael M. Zavlanos, Sandra Hirche, Siyi Wang, Xinlei Yi, Zifan Wang","cross_cats":["cs.LG","cs.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2024-04-03T18:16:47Z","title":"Risk-averse Learning with Non-Stationary Distributions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.02988","kind":"arxiv","version":1},"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:cc4d40a4ef078b0f572dbb23f9d6bf6d4f2906ab21e403a029d7179fa07441e0","target":"record","created_at":"2026-07-05T08:04:04Z","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":"8965d3fd28234215c75b4dfee0ca024630ada1e0d47f125591c5486eddabdefd","cross_cats_sorted":["cs.LG","cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2024-04-03T18:16:47Z","title_canon_sha256":"2365aed5b816cbf3e0e4293c58c8ce7a9cfa29c3aab39113b92a076630636435"},"schema_version":"1.0","source":{"id":"2404.02988","kind":"arxiv","version":1}},"canonical_sha256":"f3c3ca4dbc0d9accacc5bbb491152b0c8a292b54a2127ffce4389464aca2b43e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f3c3ca4dbc0d9accacc5bbb491152b0c8a292b54a2127ffce4389464aca2b43e","first_computed_at":"2026-07-05T08:04:04.971095Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:04:04.971095Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8sOoN386JIwa1DFEKi5P8rMFdkatx5mH85VGqs4IXSVS9cnWM0VBDgC+Ki4SpZBnzUMWr5R3Nd2UgR+3jIvGDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:04:04.971507Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.02988","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cc4d40a4ef078b0f572dbb23f9d6bf6d4f2906ab21e403a029d7179fa07441e0","sha256:04d48e87c5bffc22d37527590b259d8bc5a6240ca708d87751ca571b7764c73a"],"state_sha256":"df29a35d6b26e8bea038ef02ba70b96f5ae709bfa03dfd2ba674024c0a0b3b5a"}