{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:7B4IADJ3FJ5BOWBBM3ZUV6TVJO","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":"e99dcedbb4724a381babc729806d18b66b66142240bd9520b172cbe71e298e19","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2022-07-12T15:28:53Z","title_canon_sha256":"af272dac8fb8858863adc1dfa1b8a85c47eadd27a1da9e7662f8d4cf02d4ef66"},"schema_version":"1.0","source":{"id":"2207.05611","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.05611","created_at":"2026-07-05T06:27:14Z"},{"alias_kind":"arxiv_version","alias_value":"2207.05611v1","created_at":"2026-07-05T06:27:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.05611","created_at":"2026-07-05T06:27:14Z"},{"alias_kind":"pith_short_12","alias_value":"7B4IADJ3FJ5B","created_at":"2026-07-05T06:27:14Z"},{"alias_kind":"pith_short_16","alias_value":"7B4IADJ3FJ5BOWBB","created_at":"2026-07-05T06:27:14Z"},{"alias_kind":"pith_short_8","alias_value":"7B4IADJ3","created_at":"2026-07-05T06:27:14Z"}],"graph_snapshots":[{"event_id":"sha256:f18f0a439d34f46cfcc185218380d59da4e8b0b6d90a8cee194268605d95a7b8","target":"graph","created_at":"2026-07-05T06:27:14Z","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/2207.05611/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper investigates intelligent reflecting surface (IRS) enabled non-line-of-sight (NLoS) wireless sensing, in which an IRS is dedicatedly deployed to assist an access point (AP) to sense a target at its NLoS region. It is assumed that the AP is equipped with multiple antennas and the IRS is equipped with a uniform linear array. We consider two types of target models, namely the point and extended targets, for which the AP aims to estimate the target's direction-of-arrival (DoA) and the target response matrix with respect to the IRS, respectively, based on the echo signals from the AP-IRS-","authors_text":"Fan Liu, Jie Xu, Tony Xiao Han, Xianxin Song, Yonina C. Eldar","cross_cats":["cs.IT","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2022-07-12T15:28:53Z","title":"Intelligent Reflecting Surface Enabled Sensing: Cram\\'er-Rao Bound Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.05611","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:fddcce37f931ecf914549a2e0ca7c1cef0dc9ec8ccc62e7ba2cfdfdd77f929dc","target":"record","created_at":"2026-07-05T06:27:14Z","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":"e99dcedbb4724a381babc729806d18b66b66142240bd9520b172cbe71e298e19","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2022-07-12T15:28:53Z","title_canon_sha256":"af272dac8fb8858863adc1dfa1b8a85c47eadd27a1da9e7662f8d4cf02d4ef66"},"schema_version":"1.0","source":{"id":"2207.05611","kind":"arxiv","version":1}},"canonical_sha256":"f878800d3b2a7a17582166f34afa754baed6e96beacaa1768d6f43399ecac75a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f878800d3b2a7a17582166f34afa754baed6e96beacaa1768d6f43399ecac75a","first_computed_at":"2026-07-05T06:27:14.852157Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:27:14.852157Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"a0fE933Z7jLjWbuiEV4H4HKK2DeTle4zHxjJRnRl5NP/CE1PrtH6FasHo7PjL0RTGrcempScfwrT/OnUfZrjDw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:27:14.852686Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.05611","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fddcce37f931ecf914549a2e0ca7c1cef0dc9ec8ccc62e7ba2cfdfdd77f929dc","sha256:f18f0a439d34f46cfcc185218380d59da4e8b0b6d90a8cee194268605d95a7b8"],"state_sha256":"e272990241b35b7613979ccc827a3f8132bc1666a3e217b2da225ed3ec49705d"}