{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:O34DMRJT7T4L3KDZGAJU54JCH4","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":"2708dd135ec4537a5b479bdad39dd24b77097fd03c8bf167d31d56cb396cf9f8","cross_cats_sorted":["cs.NI","math.IT"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.IT","submitted_at":"2021-02-01T23:42:24Z","title_canon_sha256":"d7cc3b0dba6794f95317592ba43da6d9e120edadaa9fbf5900244255dd4396db"},"schema_version":"1.0","source":{"id":"2102.01232","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.01232","created_at":"2026-07-05T02:49:52Z"},{"alias_kind":"arxiv_version","alias_value":"2102.01232v3","created_at":"2026-07-05T02:49:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.01232","created_at":"2026-07-05T02:49:52Z"},{"alias_kind":"pith_short_12","alias_value":"O34DMRJT7T4L","created_at":"2026-07-05T02:49:52Z"},{"alias_kind":"pith_short_16","alias_value":"O34DMRJT7T4L3KDZ","created_at":"2026-07-05T02:49:52Z"},{"alias_kind":"pith_short_8","alias_value":"O34DMRJT","created_at":"2026-07-05T02:49:52Z"}],"graph_snapshots":[{"event_id":"sha256:8a82b0ae5f1fa16588f0d315b9fc0366da135737ab396cfbf915b9f93b07dce9","target":"graph","created_at":"2026-07-05T02:49:52Z","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/2102.01232/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper tackles the problem of joint active and passive beamforming optimization for an intelligent reflective surface (IRS)-assisted multi-user downlink multiple-input multiple-output (MIMO) communication system. We aim to maximize spectral efficiency of the users by minimizing the mean square error (MSE) of the received symbol. For this, a joint optimization problem is formulated under the minimum mean square error (MMSE) criterion. First, block coordinate descent (BCD) is used to decouple the joint optimization into two sub-optimization problems to separately find the optimal active prec","authors_text":"Amine Mezghani, and Ekram Hossain, Faouzi Bellili, Haseeb ur Rehman","cross_cats":["cs.NI","math.IT"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.IT","submitted_at":"2021-02-01T23:42:24Z","title":"Joint Active and Passive Beamforming Design for IRS-Assisted Multi-User MIMO Systems: A VAMP-Based Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.01232","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:f3e58e48d0d51455f582e71dd33ea3c1673ec8d059979ddc535429d0dfc87ddf","target":"record","created_at":"2026-07-05T02:49:52Z","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":"2708dd135ec4537a5b479bdad39dd24b77097fd03c8bf167d31d56cb396cf9f8","cross_cats_sorted":["cs.NI","math.IT"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.IT","submitted_at":"2021-02-01T23:42:24Z","title_canon_sha256":"d7cc3b0dba6794f95317592ba43da6d9e120edadaa9fbf5900244255dd4396db"},"schema_version":"1.0","source":{"id":"2102.01232","kind":"arxiv","version":3}},"canonical_sha256":"76f8364533fcf8bda87930134ef1223f1ed6f00f15e9a801259d2af7d8f72bcf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"76f8364533fcf8bda87930134ef1223f1ed6f00f15e9a801259d2af7d8f72bcf","first_computed_at":"2026-07-05T02:49:52.997089Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:49:52.997089Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NFdL++DSjbmZMN6q7wIAdTZQhvOVAYbsainx5CBhCDjLettRaX3YXt4syIPz4xQmcRygWdr5LW3nZNOdDI0GCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:49:52.997566Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.01232","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f3e58e48d0d51455f582e71dd33ea3c1673ec8d059979ddc535429d0dfc87ddf","sha256:8a82b0ae5f1fa16588f0d315b9fc0366da135737ab396cfbf915b9f93b07dce9"],"state_sha256":"21e83e2d6f7952652a7606496b5ad93434a393293df589ff655a5f6341e47302"}