{"as_of":"2026-08-13T13:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:58896f51a7cc08bdc5f98a8df51ad2014ddd94119b6a83dd11c4ee8a5bd6b50f","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T04:51:01.547796Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2412.01029/citation-record","integrity":"/paper/2412.01029/integrity","json":"/paper/2412.01029/citation-record.json","paper":"/paper/2412.01029"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:02.256656Z","title":"Survey on 6G frontiers: Trends, appl ications, requirements, technologies and future research,","venue":null,"work_id":"28c52198-d3ee-4605-b078-0b537b09466e","year":2021},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.350959Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:a646514fc08cc4dc1f9e62ee1f5223a0770d28ee82e7a54a233b585468f185df","observation_id":"c64c77b8-00d0-4e62-aa43-3e39e5a87555","resolution":{"observed_at":"2026-08-12T04:51:02.261715Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09723","last_updated":"2023-06-16T09:44:37Z","snapshot_observed_at":"2026-08-13T11:15:24.114747Z","submitted_at":"2023-06-16T09:44:37Z","title":"Terahertz Near-Field Communications and Sensing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09723","snapshot_observed_at":"2026-08-12T04:51:01.356171Z","title":"Terahertz near-field communic ations and sensing,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.356171Z"},"links":{"cited_paper":"/paper/2306.09723","citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:a5775879168f7903271e0a800c8a7ca67b64c81dc14035c3c13ce56dceb17f12","observation_id":"7c6a228f-894a-49dc-b210-0d29f681ff1d","resolution":{"observed_at":"2026-08-12T04:51:01.356171Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:02.242505Z","title":"Near-field int egrated sensing, positioning, and communication: A downli nk and uplink framework,","venue":null,"work_id":"facbdbc0-48b5-4f74-9636-8aabca90036e","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.361145Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:d9129adef9eddeea0347ff20c5266c6c558ac62786f11795daa0f267872298e7","observation_id":"a58c6273-5138-4030-8dc5-8d1d318474a6","resolution":{"observed_at":"2026-08-12T04:51:02.247284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:02.228162Z","title":"Near-Field integrated sensing and communication: Opportunities and challenges,","venue":null,"work_id":"051b463e-78d1-49a3-808a-fc4ffa430e71","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.366176Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:b928a9912570ffb9a42f9727aa928285aef878ef1b24d412bd7aae44c7038578","observation_id":"a8ab7ea2-a15d-490b-9c2b-7222d02e5755","resolution":{"observed_at":"2026-08-12T04:51:02.232995Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.10147","last_updated":"2024-07-14T10:37:07Z","snapshot_observed_at":"2026-08-12T23:22:36.628666Z","submitted_at":"2024-07-14T10:37:07Z","title":"Near-Field User Localization and Channel Estimation for XL-MIMO Systems: Fundamentals, Recent Advances, and Outlooks","version":1},"cited_work":{"arxiv_id":"2407.10147","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.10147","snapshot_observed_at":"2026-08-12T04:51:01.689294Z","title":"Near-Field User Localization and Channel Estimation for XL-MIMO Systems: Fundamentals, Recent Advances, and Outlooks","venue":"eess.SP","work_id":"73eb486b-07f4-48a3-a952-f1713b430c43","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.370793Z"},"links":{"cited_paper":"/paper/2407.10147","citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:8ea4b4652b5f08c40f3db281c684d7969572c0d8f9fc6e80ab337a0f9da0bebe","observation_id":"23f5094f-a070-4741-a3dd-2cd50123978b","resolution":{"observed_at":"2026-08-12T04:51:01.694121Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:02.214411Z","title":"A tutorial on extremely large -scale MIMO for 6G: Fundamentals, signal processing, and applicat ions,","venue":null,"work_id":"34f2b955-ceea-431f-880e-0e89d1b47b3b","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.375752Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:1000d0b518e11beb2c0eb503ec50c9fac950fd0220d7eb4e6a29fdff8c73b12d","observation_id":"7d5b7ef3-18f0-4875-9617-6129ab91c8b5","resolution":{"observed_at":"2026-08-12T04:51:02.218990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:02.199900Z","title":"Near-field MIMO com munications for 6G: Fundamentals, challenges, potentials , and future directions,","venue":null,"work_id":"f13125c6-d508-4dd0-af1b-5060c5e0e6e5","year":2023},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.380716Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:ed55653d0c4c75805cf52cab4dec905fa422cc381387c36ad8752c293f8adcfc","observation_id":"4e5c2e23-abf7-489f-9f1e-f88e85623546","resolution":{"observed_at":"2026-08-12T04:51:02.204592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:02.184418Z","title":"Ho lographic MIMO communications: Theoretical foundations, enabling t echnologies, and future directions,","venue":null,"work_id":"fe7af5f9-6820-4303-9c7f-60efd3c07b67","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.385320Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:916aa2e6e255bcb023ab633e36720c449e4c51abc7e1bbf195326592eb3ede41","observation_id":"9e24aa00-6fbc-4d49-8ea4-8d5c8f08c11b","resolution":{"observed_at":"2026-08-12T04:51:02.189070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12086","last_updated":"2023-02-14T07:41:19Z","snapshot_observed_at":"2026-08-13T12:56:08.003847Z","submitted_at":"2023-01-28T04:19:40Z","title":"Uplink Performance of Cell-Free Extremely Large-Scale MIMO Systems","version":2},"cited_work":{"arxiv_id":"2301.12086","doi":null,"metadata_source":"pith","pith_arxiv_id":"2301.12086","snapshot_observed_at":"2026-08-12T04:51:01.668804Z","title":"Uplink Performance of Cell-Free Extremely Large-Scale MIMO Systems","venue":"cs.IT","work_id":"1d3bda43-d6ee-4060-bca8-3e530b73ae6b","year":2023},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.389797Z"},"links":{"cited_paper":"/paper/2301.12086","citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:13dad5aa26508272dd4742546f852317fe447f3bd3f0c03868b487535f81fd0b","observation_id":"dcda028a-c478-45ba-9761-78fd8b347481","resolution":{"observed_at":"2026-08-12T04:51:01.673768Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:02.170442Z","title":"Beam focusing for near-field multiuser MI MO communications,","venue":null,"work_id":"bfea0106-d963-4131-b36c-5b930e4f53bf","year":2022},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.394523Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:f1060df6254e515083c5a7899fd0e0f96d89d046b8cae7529b970c01a416eadd","observation_id":"fcaddff6-de27-449b-b51e-1412bf5530f4","resolution":{"observed_at":"2026-08-12T04:51:02.175040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:02.155792Z","title":"Nyquist sampling and degrees of freedom of electromag netic fields,","venue":null,"work_id":"93306f36-aa0c-47c7-8455-de437c326eac","year":2022},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.399067Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:b8feddaa860197388458aae0840edf3a6b054fc8d36f1c89f1bba4701ff0c09f","observation_id":"00f27c8b-b4b2-4cde-ac82-96cabc98cc88","resolution":{"observed_at":"2026-08-12T04:51:02.160579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.02844","last_updated":"2024-01-05T14:53:44Z","snapshot_observed_at":"2026-08-13T04:48:24.536347Z","submitted_at":"2024-01-05T14:53:44Z","title":"Towards 6G MIMO: Massive Spatial Multiplexing, Dense Arrays, and Interplay Between Electromagnetics and Processing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.02844","snapshot_observed_at":"2026-08-12T04:51:01.403512Z","title":"Towards 6G MIMO: Massive spatial multip lexing, dense arrays, and interplay between electromagnet ics and processing,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.403512Z"},"links":{"cited_paper":"/paper/2401.02844","citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:0afda24221953fd716c2d040021a9a994ef27feec4e104d28031f9570ab29719","observation_id":"0731036c-654d-4d72-95c1-c443eed874ea","resolution":{"observed_at":"2026-08-12T04:51:01.403512Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:02.141088Z","title":"Joint task offloading and resource allocatio n in aerial-terrestrial UA V networks with edge and fog computin g for post-disaster rescue,","venue":null,"work_id":"11ffb58f-f9c4-49f3-ac52-7b0df442f45d","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.408330Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:ca41658db0a8f7d1ea340328ff89cdaea7e7f10859ee261adb92dce59996e1b6","observation_id":"ccff913a-b5cc-4639-8b85-f4de3c76b86a","resolution":{"observed_at":"2026-08-12T04:51:02.145926Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:02.127027Z","title":"UA V-enabled covert federated learning,","venue":null,"work_id":"d7daa14f-d58b-4640-b39a-356726555926","year":2023},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.413179Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:7de8edf4821c5e1d4f512ba6919b5e48780225e3ac478fc2536f76a5f80e1255","observation_id":"ab956a1a-c765-4c46-86ad-500a42fed173","resolution":{"observed_at":"2026-08-12T04:51:02.131633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:02.112874Z","title":"Angular-distance based channel estimation for holographic MIMO,","venue":null,"work_id":"39e6fccd-d1fd-4438-9b01-05e1d16789ee","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.417450Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:8035207830b19fb5a326716ae9e50778eae3f8cee11f89efec2f49a1fcf90a00","observation_id":"4c13d4f1-b56c-4738-be80-7d326e23a889","resolution":{"observed_at":"2026-08-12T04:51:02.117745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:02.098562Z","title":"Channel estimation for XL-MIMO systems with polar-domain m ulti-scale residual dense network,","venue":null,"work_id":"c78387eb-6678-46dc-9613-cb41047b6b9a","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.421721Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:301e909129dce7cd28fd20bec33274fff9de714c70871efc82ae7d4707af71be","observation_id":"433b62d1-2df1-4412-b823-b5aa57f1243b","resolution":{"observed_at":"2026-08-12T04:51:02.103336Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:02.084357Z","title":"Hybrid -Field channel estimation for XL-MIMO systems with stochas tic gradient pursuit algorithm,","venue":null,"work_id":"56000aa7-1810-434d-acd5-955e21208634","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.426076Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:ed7b4b9f9303ccdd4ab8c01ff999305c030b2238f01c62975961c13136c403ec","observation_id":"8e5a24f5-5de7-4f59-af53-8aebfabea699","resolution":{"observed_at":"2026-08-12T04:51:02.089221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.04003","last_updated":"2023-07-25T12:15:46Z","snapshot_observed_at":"2026-08-13T12:29:48.389370Z","submitted_at":"2023-03-07T16:02:46Z","title":"Near-Field Communications: What Will Be Different?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.04003","snapshot_observed_at":"2026-08-12T04:51:01.430354Z","title":"Near-field com munications: What will be different?","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.430354Z"},"links":{"cited_paper":"/paper/2303.04003","citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:61c38fdc2c1c1db5e6b79d1c4cd1134d996dc3b4a5597cd925ddf684dcf11f11","observation_id":"f2f5ef2c-24b3-443d-b49e-9080edb4519b","resolution":{"observed_at":"2026-08-12T04:51:01.430354Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.05900","last_updated":"2024-10-03T16:10:09Z","snapshot_observed_at":"2026-08-13T12:39:05.205394Z","submitted_at":"2024-01-11T13:22:30Z","title":"Near-Field Communications: A Comprehensive Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.05900","snapshot_observed_at":"2026-08-12T04:51:01.434976Z","title":"Near-field communications: A comprehensive survey,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.434976Z"},"links":{"cited_paper":"/paper/2401.05900","citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:02bddecb0c2441795c6042a3b3b2ce0c607c78b18eab1750310a8e764eed3ade","observation_id":"31f2d5f9-81cc-4e38-9f81-f77a81479997","resolution":{"observed_at":"2026-08-12T04:51:01.434976Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:02.069314Z","title":"Beam squint assist ed user localization in near-field integrated sensing and co mmunications systems,","venue":null,"work_id":"387501b3-f8df-4f0a-b1bf-fd3b8e2efcfd","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.439898Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:20b05b1b9909cc877e4bad8d385fc6228ad50b3b8cc26836c0a25c7365c1548b","observation_id":"edd7dce5-e170-464c-ace6-f21fb41241b3","resolution":{"observed_at":"2026-08-12T04:51:02.074131Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:02.053979Z","title":"Nea r-field channel reconstruction and user localization for EL AA systems,","venue":null,"work_id":"564e1786-d8f0-4e37-947d-29b1a2ded7a9","year":2022},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.444453Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:e1af9d7a5702fef5e8a80a27654ca2253cb52da67b5986642da02e098c6b8beb","observation_id":"552f37f1-234a-4a05-bcd0-cb79f9b37a3d","resolution":{"observed_at":"2026-08-12T04:51:02.059851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:02.039115Z","title":"Near-field rai nbow: Wideband beam training for XL-MIMO,","venue":null,"work_id":"f8c2d6fd-6709-49cc-ab44-8095c6a33290","year":2023},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.448681Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:08a88370a609d1f4257ca6c6dfa4478bb99dd77684d67048480d129275281c3a","observation_id":"04684bea-053f-46ed-8438-8e3a879923ba","resolution":{"observed_at":"2026-08-12T04:51:02.043906Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:02.024149Z","title":"Near-field wideband beamforming for e xtremely large antenna arrays,","venue":null,"work_id":"48ed7663-2692-4527-8868-d2585c65c7bc","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.452913Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:af3d9eef26dc51c87db49df8dfe8aaa901ddf2932afe13b9ec8b2a2583b8d3fc","observation_id":"d7203655-b854-444c-8f76-d05e704e4af3","resolution":{"observed_at":"2026-08-12T04:51:02.028844Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:02.009699Z","title":"Delay-phase prec oding for wideband THz massive MIMO,","venue":null,"work_id":"a7f9ab10-1817-4578-af6a-b1a693c0675c","year":2022},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.457042Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:2e943f6f949b07b009b9ab241a10e4f833341ff74955e4975edd193d876f60d4","observation_id":"dd359b55-a408-481e-a3bb-b5cfbbb0214b","resolution":{"observed_at":"2026-08-12T04:51:02.014416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:01.995054Z","title":"Spat ial non-stationary near-field channel modeling and validat ion for massive MIMO systems,","venue":null,"work_id":"e3f788ee-2c8a-489b-8260-68405d7a6187","year":2023},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.461447Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:22d7930cd59b3818a94879948b47f8c8bb1c5dd84d6b9d8b9bc0253e1d9a0ab5","observation_id":"e01e86f8-4fd3-4f22-98a4-1a8166b489b0","resolution":{"observed_at":"2026-08-12T04:51:02.000294Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:01.979673Z","title":"Cram´ er-Rao bounds for ne ar-field sensing with extremely large-scale MIMO,","venue":null,"work_id":"4762b958-6c78-4259-8fd4-a0fe284aabbe","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.466031Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:1985bb95370edad43cd1a372e039c0ba2d83f825ce11e917fb427522aeaeb181","observation_id":"804986e8-b689-4265-89ff-122eafb01150","resolution":{"observed_at":"2026-08-12T04:51:01.984714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:01.964246Z","title":"Cra m´ er-Rao bounds of near-field positioning based on electrom agnetic propagation model,","venue":null,"work_id":"13dc37ad-8a04-4286-a66b-139f2acaf9d3","year":2023},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.470470Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:cf38671bdc334cc28f61ff5c53705912b6de92f3f3b81e3ddfffb4ea22047f0e","observation_id":"9f364262-e895-4f3b-8403-923486293326","resolution":{"observed_at":"2026-08-12T04:51:01.969048Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:01.948544Z","title":"Cram´ er-Rao bounds for near-field localization,","venue":null,"work_id":"90881034-0565-4a49-82f4-4c767e7d3f22","year":2021},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.474916Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:5813d3970e982e639d7e314a4c950537d98c81c34739c4bea70fad283d5a7a13","observation_id":"f56c909b-a348-4dc6-856b-fb72a5a1a500","resolution":{"observed_at":"2026-08-12T04:51:01.953506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:01.932956Z","title":"Pe rformance bounds for near-field localization with widely-s paced multi-subarray mmWave/THz MIMO,","venue":null,"work_id":"d5fc7ecb-7eaa-4cfe-9679-1508143c5ac6","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.479145Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:e199d8fb92b42740e979f540b1ead99e7bcacb6052ab13d37a553fadb4675f5f","observation_id":"e6e94538-cc58-4665-a77b-a006e3f852e7","resolution":{"observed_at":"2026-08-12T04:51:01.937938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:01.918156Z","title":"Near-field positioning and attitude sensing based on electromagnetic propagation modeling,","venue":null,"work_id":"72515ee2-0752-4e25-8f75-e340ab11728a","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.483421Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:cb3c0f5e45e33fa022b9d2010c2a94e275145c1a6287562be99153c3180bfd6c","observation_id":"0f68dc16-aebc-4f25-9146-086906626034","resolution":{"observed_at":"2026-08-12T04:51:01.922958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:01.902638Z","title":"Scalable near- field localization based on array partitioning and angle-of - arrival fusion,","venue":null,"work_id":"fabe44a3-3686-4597-b4af-059c529d1b2c","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.487845Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:d64105a36971ba5b0e7988add2dd24d708def634b5ce209555b2903a5f41f7e1","observation_id":"e65a62b3-9b13-455c-88be-88a36c9575ec","resolution":{"observed_at":"2026-08-12T04:51:01.907821Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:01.888356Z","title":"A low-complexity ne ar-field localization method based on electric field model,","venue":null,"work_id":"a58d6822-674b-48b4-b884-9201bf6e12b8","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.492037Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:879ddbad3886160464bc123cf202804fd0485fa0207c8f3c9d2d2fb3ba3e2b0f","observation_id":"c0b2ce7f-4da8-44c5-82b0-d250b8785dcb","resolution":{"observed_at":"2026-08-12T04:51:01.893100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.06368","last_updated":"2024-02-09T12:22:19Z","snapshot_observed_at":"2026-08-13T04:22:38.205479Z","submitted_at":"2024-02-09T12:22:19Z","title":"Adaptive Downlink Localization and User Tracking in Near-Field and Far-Field: A Trade-Off Analysis","version":1},"cited_work":{"arxiv_id":"2402.06368","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.06368","snapshot_observed_at":"2026-08-12T04:51:01.599280Z","title":"Adaptive Downlink Localization and User Tracking in Near-Field and Far-Field: A Trade-Off Analysis","venue":"cs.IT","work_id":"2157b33b-6277-45f0-8e24-4fa2a3311ebf","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.496334Z"},"links":{"cited_paper":"/paper/2402.06368","citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:e08da711a089ed08f9fb4f859d87324af8533de86b493249b589f43449a175d5","observation_id":"0eb73007-6b00-4e17-b967-68363bd6b8a5","resolution":{"observed_at":"2026-08-12T04:51:01.606106Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:01.873342Z","title":"Near- field localization with 1-bit quantized hybrid A/D reception,","venue":null,"work_id":"8a65e2af-d876-4503-947f-b08ca64e4816","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.500785Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:1a0838765db34efafa91f88a53d1357a8465cb65ec0b7f5a1896731a9e326d8c","observation_id":"deb2dfb0-079d-4bbb-8f8b-324b57612556","resolution":{"observed_at":"2026-08-12T04:51:01.878341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:01.857541Z","title":"Near-field in tegrated sensing, positioning, and communication: A downl ink and uplink framework,","venue":null,"work_id":"bd210c89-76bb-4d3a-8306-e8aa40534004","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.504987Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:67e8ac000900697e73a0d6d75ab048af014bb053a1264a7781e32bf77692171a","observation_id":"1f7a7eba-8115-4ca7-beaa-5b3da063fb89","resolution":{"observed_at":"2026-08-12T04:51:01.863280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.13683","last_updated":"2026-06-08T14:22:41Z","snapshot_observed_at":"2026-08-13T04:56:59.426648Z","submitted_at":"2023-12-21T09:14:18Z","title":"Joint Channel Estimation and Cooperative Localization for Near-Field Ultra-Massive MIMO","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.13683","snapshot_observed_at":"2026-08-12T04:51:01.509607Z","title":"Joint channel estimation and cooperative localization for near-field ultra-massive MIMO,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.509607Z"},"links":{"cited_paper":"/paper/2312.13683","citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:6235104bc0974b5e370fdcfb306767b414c2c6c48692ee31f50eb87dd5017e6e","observation_id":"00a2b5c7-ee95-4670-a4cb-cdaca011966d","resolution":{"observed_at":"2026-08-12T04:51:01.509607Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:01.842903Z","title":"Near-field local ization and channel reconstruction for ELAA systems,","venue":null,"work_id":"16cecc19-7e23-43c4-922e-cddcb18e9250","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.514086Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:b0eef760a5c33aa83f3b38612a1a82ee449b6a8e6767a378c78970c21485da61","observation_id":"680599c7-0186-4d2b-86d8-199f8fa22693","resolution":{"observed_at":"2026-08-12T04:51:01.847624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:01.827631Z","title":"Sensing user’s activity, channel , and location with near-field extra-large-scale MIMO,","venue":null,"work_id":"b4516aad-153e-429d-a62b-90c46b36d80b","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.518408Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:1cc8bff2cfc3e60e938e640002c0acdc00cad94becab722f0fc53bbe6ef3602b","observation_id":"20abc020-bcce-4fb0-a6a3-f4a7b6339ed3","resolution":{"observed_at":"2026-08-12T04:51:01.832609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:01.813543Z","title":"A ConvNet for the 2020s,","venue":null,"work_id":"f105cd88-0257-45d4-8b8b-3def96f0927f","year":2022},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.522572Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:abf1c6f81c195c2ffd53e3f3b86879321e72b568fd0ba41fe790dfa7de7e7a4a","observation_id":"8e4515a2-ad74-4fdd-b695-80934303a4f4","resolution":{"observed_at":"2026-08-12T04:51:01.817899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:01.797769Z","title":"A low-complexity frame sync hronization and frequency offset compensation scheme for O FDM systems over fading channels,","venue":null,"work_id":"20b4a231-1fec-495e-8cf1-58907ca7767c","year":1999},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.526818Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:2d1fae0b0d4dc5009afcd3b2aab6c3a2c1f96ec0591bd97794f5f4f14a3cbeb3","observation_id":"24c2a977-f993-40d6-a23c-a25cb6f4a859","resolution":{"observed_at":"2026-08-12T04:51:01.803290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:01.781103Z","title":"Performance analysis of 5G OFDM frame synchronizat ion with various channel conditions,","venue":null,"work_id":"df269cd0-213d-4cb3-b7cb-6bab5eacc256","year":2024},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.530952Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:a9400a0126f1d8bef293d2bf0187ab7ae5e192eee4a69ad9aaac9be4bec19eb7","observation_id":"245bf6ac-c49b-4490-9660-1bb805c5551f","resolution":{"observed_at":"2026-08-12T04:51:01.785989Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:01.765705Z","title":"Terahertz band: The last piece of RF spectrum puzzl e for communication systems,","venue":null,"work_id":"26752dcf-45cd-4f9f-b20a-d179f50cedad","year":2020},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.535078Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:937f829ef888751bf09c4fd3c1d0b25fdb2f9cc3768190302444256cbebf6d04","observation_id":"2698e053-5fbc-441e-81b1-d679255f9081","resolution":{"observed_at":"2026-08-12T04:51:01.770746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:01.749970Z","title":"Str uctured massive access for scalable cell-free massive MIMO systems,","venue":null,"work_id":"13750e70-ae1d-49c4-8d2a-3652adb241d1","year":2021},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.539173Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:e72c67797b191c806f4beb761f58276ccc98403a6c6a134d44510b08247dc735","observation_id":"191b954f-ac8f-45b0-a4f3-9ae7e2b0b620","resolution":{"observed_at":"2026-08-12T04:51:01.755109Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:01.735059Z","title":"Conditi onal and unconditional Cram´ er-Rao bounds for near-field lo calization in bistatic MIMO radar systems,","venue":null,"work_id":"7069a188-18dd-4c1f-b31d-e556ebe7ee25","year":2021},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.543713Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:0839bc6abcceb6ac37fb15c3fe54666fe060b3c7a0514690d16356080e6baae8","observation_id":"ff2dedf4-f310-44bf-9299-f5207e6960db","resolution":{"observed_at":"2026-08-12T04:51:01.740070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:51:01.719858Z","title":"CHISEL: Compression -aware high-accuracy embedded indoor localization with de ep learning,","venue":null,"work_id":"b7da357e-23a6-4680-9346-e8f40f760dcd","year":2022},"citing_paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T04:51:01.547796Z"},"links":{"citing_paper":"/paper/2412.01029"},"observation_digest":"sha256:3cddef4b833d4a12754bd56a21aaefbaab84594a2eb5244c6b97b7e190e1bb5c","observation_id":"1877d2fb-90f8-4bd9-ba67-146d27d22903","resolution":{"observed_at":"2026-08-12T04:51:01.724632Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.01029","last_updated":"2024-12-02T01:22:59Z","latest_version":1,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-12T04:43:27.339602Z","submitted_at":"2024-12-02T01:22:59Z","title":"Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":3,"verified_fuzzy":37},"total_outbound_references":45},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2412.01029."}