{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:E6U6DDLGGG7SKSLGQQMGLZ5IRY","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":"38fa1291203585fed030e6ec7631426a547878fecee5d2ba57c062f87e5582b3","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2024-12-02T01:22:59Z","title_canon_sha256":"a3caa765ac39b5c38582445a2c61db967d5c46d2d401f8ff93ab3805d72b4407"},"schema_version":"1.0","source":{"id":"2412.01029","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.01029","created_at":"2026-07-05T09:42:52Z"},{"alias_kind":"arxiv_version","alias_value":"2412.01029v1","created_at":"2026-07-05T09:42:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.01029","created_at":"2026-07-05T09:42:52Z"},{"alias_kind":"pith_short_12","alias_value":"E6U6DDLGGG7S","created_at":"2026-07-05T09:42:52Z"},{"alias_kind":"pith_short_16","alias_value":"E6U6DDLGGG7SKSLG","created_at":"2026-07-05T09:42:52Z"},{"alias_kind":"pith_short_8","alias_value":"E6U6DDLG","created_at":"2026-07-05T09:42:52Z"}],"graph_snapshots":[{"event_id":"sha256:a6bc3f10a4d76d10d76acadd964b3cb057b3a1b193ba95aec070ae5353428d7c","target":"graph","created_at":"2026-07-05T09:42:52Z","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/2412.01029/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Extremely large-scale multiple-input multiple-output (XL-MIMO) is gaining attention as a prominent technology for enabling the sixth-generation (6G) wireless networks. However, the vast antenna array and the huge bandwidth introduce a non-negligible beam squint effect, causing beams of different frequencies to focus at different locations. One approach to cope with this is to employ true-time-delay lines (TTDs)-based beamforming to control the range and trajectory of near-field beam squint, known as the near-field controllable beam squint (CBS) effect. In this paper, we investigate the user lo","authors_text":"Bo Ai, Derrick Wing Kwan Ng, Hao Lei, Huahua Xiao, Jiayi Zhang","cross_cats":["cs.IT","math.IT"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.01029","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:c13081797e6c1365abf40e02aa723e5f174f93dbe0f00926204ebcbac295766f","target":"record","created_at":"2026-07-05T09:42:52Z","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":"38fa1291203585fed030e6ec7631426a547878fecee5d2ba57c062f87e5582b3","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2024-12-02T01:22:59Z","title_canon_sha256":"a3caa765ac39b5c38582445a2c61db967d5c46d2d401f8ff93ab3805d72b4407"},"schema_version":"1.0","source":{"id":"2412.01029","kind":"arxiv","version":1}},"canonical_sha256":"27a9e18d6631bf254966841865e7a88e143309ab527cd8219db69292fe528adc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"27a9e18d6631bf254966841865e7a88e143309ab527cd8219db69292fe528adc","first_computed_at":"2026-07-05T09:42:52.343571Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:42:52.343571Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O0FIGhmW/qr5rcaQ8ZTGoSq3TvruhXHXpb/+2+da5yednxID+W7X9IcC1QTkbHdkDC7ILMq+RfCyeGh9lxBnDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:42:52.344086Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.01029","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c13081797e6c1365abf40e02aa723e5f174f93dbe0f00926204ebcbac295766f","sha256:a6bc3f10a4d76d10d76acadd964b3cb057b3a1b193ba95aec070ae5353428d7c"],"state_sha256":"6245290ff704df9c493b0a7def403c1fed96aa13358b391af8036237699d346a"}