{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:GXUSHP7V57RQIS3QCALURTORWC","short_pith_number":"pith:GXUSHP7V","schema_version":"1.0","canonical_sha256":"35e923bff5efe3044b70101748cdd1b087e22051e8d93968d02d5337f90ee46a","source":{"kind":"arxiv","id":"2409.17041","version":1},"attestation_state":"computed","paper":{"title":"Near-Field Multipath MIMO Channel Model for Imperfect Surface Reflection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"George C. Alexandropoulos, H. Vincent Poor, Mohamadreza Delbari, Robert Schober, Vahid Jamali","submitted_at":"2024-09-25T15:48:50Z","abstract_excerpt":"Near-field (NF) communications is receiving renewed attention in the context of passive reconfigurable intelligent surfaces (RISs) due to their potentially extremely large dimensions. Although line-of-sight (LOS) links are expected to be dominant in NF scenarios, it is not a priori obvious whether or not the impact of non-LOS components can be neglected. Furthermore, despite being weaker than the LOS link, non-LOS links may be required to achieve multiplexing gains in multi-user multiple-input multiple-output (MIMO) scenarios. In this paper, we develop a generalized statistical NF model for RI"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2409.17041","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2024-09-25T15:48:50Z","cross_cats_sorted":[],"title_canon_sha256":"5e3a51ac66e30f109990e93a17425d06a75d302e9faa54ef88a39dac3a585d6b","abstract_canon_sha256":"6ea2712dd32064210cee490d11d01a6be51ab4381d35247cfe862183fdc53a27"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:54:28.463168Z","signature_b64":"UXnselnbXBmqXO8DbstSDs3P0FtSQx4AGJkoBdV0LNyrpfK+ZPzesB41fFTaCm1nd7JU+7EHZE2U/TE9E0eRBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"35e923bff5efe3044b70101748cdd1b087e22051e8d93968d02d5337f90ee46a","last_reissued_at":"2026-07-05T11:54:28.462742Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:54:28.462742Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Near-Field Multipath MIMO Channel Model for Imperfect Surface Reflection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"George C. Alexandropoulos, H. Vincent Poor, Mohamadreza Delbari, Robert Schober, Vahid Jamali","submitted_at":"2024-09-25T15:48:50Z","abstract_excerpt":"Near-field (NF) communications is receiving renewed attention in the context of passive reconfigurable intelligent surfaces (RISs) due to their potentially extremely large dimensions. Although line-of-sight (LOS) links are expected to be dominant in NF scenarios, it is not a priori obvious whether or not the impact of non-LOS components can be neglected. Furthermore, despite being weaker than the LOS link, non-LOS links may be required to achieve multiplexing gains in multi-user multiple-input multiple-output (MIMO) scenarios. In this paper, we develop a generalized statistical NF model for RI"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.17041","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2409.17041/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2409.17041","created_at":"2026-07-05T11:54:28.462798+00:00"},{"alias_kind":"arxiv_version","alias_value":"2409.17041v1","created_at":"2026-07-05T11:54:28.462798+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.17041","created_at":"2026-07-05T11:54:28.462798+00:00"},{"alias_kind":"pith_short_12","alias_value":"GXUSHP7V57RQ","created_at":"2026-07-05T11:54:28.462798+00:00"},{"alias_kind":"pith_short_16","alias_value":"GXUSHP7V57RQIS3Q","created_at":"2026-07-05T11:54:28.462798+00:00"},{"alias_kind":"pith_short_8","alias_value":"GXUSHP7V","created_at":"2026-07-05T11:54:28.462798+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2504.08352","citing_title":"Fast Reconfiguration of Liquid Crystal-RISs: Modeling and Algorithm Design","ref_index":25,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/GXUSHP7V57RQIS3QCALURTORWC","json":"https://pith.science/pith/GXUSHP7V57RQIS3QCALURTORWC.json","graph_json":"https://pith.science/api/pith-number/GXUSHP7V57RQIS3QCALURTORWC/graph.json","events_json":"https://pith.science/api/pith-number/GXUSHP7V57RQIS3QCALURTORWC/events.json","paper":"https://pith.science/paper/GXUSHP7V"},"agent_actions":{"view_html":"https://pith.science/pith/GXUSHP7V57RQIS3QCALURTORWC","download_json":"https://pith.science/pith/GXUSHP7V57RQIS3QCALURTORWC.json","view_paper":"https://pith.science/paper/GXUSHP7V","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2409.17041&json=true","fetch_graph":"https://pith.science/api/pith-number/GXUSHP7V57RQIS3QCALURTORWC/graph.json","fetch_events":"https://pith.science/api/pith-number/GXUSHP7V57RQIS3QCALURTORWC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GXUSHP7V57RQIS3QCALURTORWC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GXUSHP7V57RQIS3QCALURTORWC/action/storage_attestation","attest_author":"https://pith.science/pith/GXUSHP7V57RQIS3QCALURTORWC/action/author_attestation","sign_citation":"https://pith.science/pith/GXUSHP7V57RQIS3QCALURTORWC/action/citation_signature","submit_replication":"https://pith.science/pith/GXUSHP7V57RQIS3QCALURTORWC/action/replication_record"}},"created_at":"2026-07-05T11:54:28.462798+00:00","updated_at":"2026-07-05T11:54:28.462798+00:00"}