{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:3UVF7WD6MH2VFMC2P24F2P7WOR","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":"1db1b907437dbb8876cbcd83daea8007813a3cf90d978985bc64fb8ed9aa5eea","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2023-02-18T11:25:08Z","title_canon_sha256":"cadd25129f6d7440517538b6ff84dcb39f81692f323d3156e8f41c66a44c5030"},"schema_version":"1.0","source":{"id":"2302.09290","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.09290","created_at":"2026-07-05T05:43:23Z"},{"alias_kind":"arxiv_version","alias_value":"2302.09290v1","created_at":"2026-07-05T05:43:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.09290","created_at":"2026-07-05T05:43:23Z"},{"alias_kind":"pith_short_12","alias_value":"3UVF7WD6MH2V","created_at":"2026-07-05T05:43:23Z"},{"alias_kind":"pith_short_16","alias_value":"3UVF7WD6MH2VFMC2","created_at":"2026-07-05T05:43:23Z"},{"alias_kind":"pith_short_8","alias_value":"3UVF7WD6","created_at":"2026-07-05T05:43:23Z"}],"graph_snapshots":[{"event_id":"sha256:b9c4d8d57ca60251613549b110a9cb01cf3cba62eccf59d9a7450671f7addde8","target":"graph","created_at":"2026-07-05T05:43:23Z","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/2302.09290/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we investigate the uplink transmit power optimization problem in cell-free (CF) extremely large-scale multiple-input multiple-output (XL-MIMO) systems. Instead of applying the traditional methods, we propose two signal processing architectures: the centralized training and centralized execution with fuzzy logic as well as the centralized training and decentralized execution with fuzzy logic, respectively, which adopt the amalgamation of multi-agent reinforcement learning (MARL) and fuzzy logic to solve the design problem of power control for the maximization of the system spectr","authors_text":"Bo Ai, Derrick Wing Kwan Ng, Huahua Xiao, Jiayi Zhang, Zhilong Liu, Ziheng Liu","cross_cats":["eess.SP","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2023-02-18T11:25:08Z","title":"Uplink Power Control for Extremely Large-Scale MIMO with Multi-Agent Reinforcement Learning and Fuzzy Logic"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.09290","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":"sha256:1733748d23d49837d06867530f3bd13208a434ec1d1c9c016ad0976d8cdf5226","target":"record","created_at":"2026-07-05T05:43:23Z","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":"1db1b907437dbb8876cbcd83daea8007813a3cf90d978985bc64fb8ed9aa5eea","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2023-02-18T11:25:08Z","title_canon_sha256":"cadd25129f6d7440517538b6ff84dcb39f81692f323d3156e8f41c66a44c5030"},"schema_version":"1.0","source":{"id":"2302.09290","kind":"arxiv","version":1}},"canonical_sha256":"dd2a5fd87e61f552b05a7eb85d3ff67448f5ddd336f2346e0b7cc3684024148c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd2a5fd87e61f552b05a7eb85d3ff67448f5ddd336f2346e0b7cc3684024148c","first_computed_at":"2026-07-05T05:43:23.683035Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:43:23.683035Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Pw2UjyxxR/FC7Num/JpEPNruPclUVsSBiIjC4GrvZlifcoJyhy+mvMieThK9udtsrGdKKw04FYue19R1O9kyAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:43:23.683409Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.09290","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1733748d23d49837d06867530f3bd13208a434ec1d1c9c016ad0976d8cdf5226","sha256:b9c4d8d57ca60251613549b110a9cb01cf3cba62eccf59d9a7450671f7addde8"],"state_sha256":"a154d50b6c23633d6fd6ff3ba8874bdb870d4b5ef81aa2af9b3d8f02533c80e5"}