{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:UOZVH66MAXKUDM5UUPCOCPOGXB","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":"fb9b012cc4e265321d418838ec6933f6ec1dfe042d4fcf1faaa3774a7fa53fb3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2018-03-03T00:00:19Z","title_canon_sha256":"32687546fb1d47c230439d2ba45f4ab269bae4529510cda2c9c3eb78f4fc5ddb"},"schema_version":"1.0","source":{"id":"1803.01078","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.01078","created_at":"2026-05-17T23:50:16Z"},{"alias_kind":"arxiv_version","alias_value":"1803.01078v2","created_at":"2026-05-17T23:50:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.01078","created_at":"2026-05-17T23:50:16Z"},{"alias_kind":"pith_short_12","alias_value":"UOZVH66MAXKU","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"UOZVH66MAXKUDM5U","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"UOZVH66M","created_at":"2026-05-18T12:32:56Z"}],"graph_snapshots":[{"event_id":"sha256:dbbae821130f2ad7fa49ede2c0d4bf07ed059178481d06cd0d848eb451605a2d","target":"graph","created_at":"2026-05-17T23:50:16Z","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"},"paper":{"abstract_excerpt":"This paper considers a set of multiple independent control systems that are each connected over a non-stationary wireless channel. The goal is to maximize control performance over all the systems through the allocation of transmitting power within a fixed budget. This can be formulated as a constrained optimization problem examined using Lagrangian duality. By taking samples of the unknown wireless channel at every time instance, the resulting problem takes on the form of empirical risk minimization, a well-studied problem in machine learning. Due to the non-stationarity of wireless channels, ","authors_text":"Alejandro Ribeiro, George J. Pappas, Konstantinos Gatsis, Mark Eisen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2018-03-03T00:00:19Z","title":"Learning in Wireless Control Systems over Non-Stationary Channels"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.01078","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":"sha256:01c37b407f08b88700136a5fa499e1b279ff7fa7f28b2eaab0eab4e0704cdcc0","target":"record","created_at":"2026-05-17T23:50:16Z","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":"fb9b012cc4e265321d418838ec6933f6ec1dfe042d4fcf1faaa3774a7fa53fb3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2018-03-03T00:00:19Z","title_canon_sha256":"32687546fb1d47c230439d2ba45f4ab269bae4529510cda2c9c3eb78f4fc5ddb"},"schema_version":"1.0","source":{"id":"1803.01078","kind":"arxiv","version":2}},"canonical_sha256":"a3b353fbcc05d541b3b4a3c4e13dc6b86353462160ebb7a3491a204da2b12f38","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a3b353fbcc05d541b3b4a3c4e13dc6b86353462160ebb7a3491a204da2b12f38","first_computed_at":"2026-05-17T23:50:16.041001Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:50:16.041001Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ev2j8QKubbtWZIXAk8zAaZDGkXARxWr+qOWY5Ch+T5Ecnqk5Up+z8cFRemIBTcghUazlFy9WUqj/Lu9Sq3QiAQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:50:16.041610Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.01078","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:01c37b407f08b88700136a5fa499e1b279ff7fa7f28b2eaab0eab4e0704cdcc0","sha256:dbbae821130f2ad7fa49ede2c0d4bf07ed059178481d06cd0d848eb451605a2d"],"state_sha256":"44462fd04d79b1abfb130c06c7117e55130475c6036f61895cd3248525a9e78a"}