{"as_of":"2026-08-17T07:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:727d64a0e31a99a351647b2041076b40507874fdb344a097171e16530b8d0e80","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":"2026-08-17T06:30:58.91139+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":"2026-08-13T19:07:23.112320Z","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:bb34783999772af17ca72c9d56d63a43a4f86fa35bfaea859dfa913f811ff3d6","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09723","last_updated":"2023-06-16T09:44:37Z","snapshot_observed_at":"2026-08-16T15:23:23.388859Z","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":"2026-08-13T19:07:23.112320Z","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:c2af3ae44cf93f52b792dd6486c1bc490991a283f138f367f0758cd6ff0eef0d","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":"2026-08-13T19:07:23.112320Z","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":"sha256:2a9c621eaa9554990f2a3a6ad12e8cb16edd02aba43d58b66ca8177617d1441c","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"sha256:5eea8267e62b3df5b789f696f271894982556c6a2a92df1dcc7c95fc18586ec1","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.10147","last_updated":"2024-07-14T10:37:07Z","snapshot_observed_at":"2026-08-16T23:20:26.664559Z","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":"2026-08-13T19:07:23.112320Z","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:c480d0cb834c3a1b9792f355931a40f560f98a9e057ad06cf50525485e1b741d","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"sha256:92831f447757ae310bad3b614a791d627e2d4c6daf7331342ea734097feb850c","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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:c017e2a125f0ee0c4f9fce9afd19ae4efb931b7c0b63d5dd5d537006899ad241","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"sha256:6711bb7c33b66210b58634ca853050ceb334b99f085a5e24063dda5129006bb5","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12086","last_updated":"2023-02-14T07:41:19Z","snapshot_observed_at":"2026-08-16T15:59:33.760655Z","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":"2026-08-13T19:07:23.112320Z","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":"sha256:0dd687db3b36706778822666ecdbba1605d8df70c0cd68eb0370f372b2e3b35b","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"sha256:890c1c8d89d396612c7375b31980e5b8a20536f3c965c26aee8ab0dff6c02dd0","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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:b1696357cb2133f42b889a6495a5786cc8e3f4223bd79485de5aba5290ec42f9","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.02844","last_updated":"2024-01-05T14:53:44Z","snapshot_observed_at":"2026-08-16T14:29:35.820124Z","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":"2026-08-13T19:07:23.112320Z","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:a5ec90fbdffbae50c1d299dda70fb1a514e73ba553aeaf1d997553ad4170c452","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":"2026-08-13T19:07:23.112320Z","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":"sha256:2857b4086d1d11aaeac13fb1c0f55a6dfb889510cf6709ef8a1a4046b9a6ee91","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"sha256:68f8996856d9eb8b0ca4bc7997d2047a993db915aa62e9c9787f1d38fc986ae0","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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:a63da030656cde66c0566d67fb40375e20008dfe7cdc6a56089d32f6628fd240","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"sha256:446494301e4b60ac58be035a0a86bf66735e1445e8e3c184ecf7f8ed7ce404a7","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"sha256:40b9c31d5348658211b1ff6fb5e4902c8edf46d7ac482d451977c3bbc2b5fee1","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.04003","last_updated":"2023-07-25T12:15:46Z","snapshot_observed_at":"2026-08-16T15:50:05.809870Z","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":"2026-08-13T19:07:23.112320Z","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:d77c2f40018146897b0ca6c1fec57aa98c72a25e9e820cc8199f3eac7c0f4321","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":"2026-08-16T14:28:14.118397Z","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":"2026-08-13T19:07:23.112320Z","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:fab1caefaba8678ffa33eeb2aea056211f37aabfe55a020ca86c22f4c32cac10","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":"2026-08-13T19:07:23.112320Z","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":"sha256:84e3dab57c4f91dcf7fd4a6f68ee2ec2531d672c5432dba1bfb760aea3f4e85e","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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:f82b186c6ad2b1544ab45e6a01834453c7780f5285aa2fa7e92604472e2643b5","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"sha256:5bfb219161a823f787ebe204023f9d65ed8c7a10cdc167eeba5e2ef56f0280e1","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"sha256:97f59535e9dead2b974cc4531b6a6dc9d0148ffaff4da7cd4c28f0cc3364106a","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"sha256:283448a5201b550857b4409d04aa43b68212cb751cc49c49f806d34ad7fcce4b","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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:f7c834e08d483c0b4c4b6fa2d88023d85d0507a71ecff498bac8ab409359f72a","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"sha256:1e26bbe95316423c5c8b22c55fb5584988c14de3a379248ea4871addb5dfe6d9","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"sha256:58dc8209351072b94a196b032ec93f9bb0301e6650b0c171461c8c1787e8aec6","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"sha256:3d27870f14500c7a6481dda023dd2122030f59991351ce0a1189aa240190046c","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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:c65b46bba145b0ea52beb232cfa48084148c3397cf15e248990edb20c52c4b1d","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"sha256:3da7b88fcbc2243bd994985e30de001ac89422e3c6f90e8fd4ff74e085928861","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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:bad5f8d760fb8a949cbea69e0e2c4fea6dc80e01244cdf34823ec4b5a74e88bb","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"sha256:88ee8e53710e29fbab1abb20b23f5f92e776edac920e08b2500d0b2c6666e89c","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.06368","last_updated":"2024-02-09T12:22:19Z","snapshot_observed_at":"2026-08-16T14:19:54.567629Z","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":"2026-08-13T19:07:23.112320Z","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":"sha256:6be3f9ce918bdc4bab1e0bfa6229b185c06b253fdce889867790bb79a02d6e5c","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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:cff0644bf49a8b1ea7790d22f8ebe3a979922aae2b9ac62ad3f896ffc63d646f","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"sha256:133b430d42adb0a2744f6088b2b39c4b27f6c752517ad14e2cea8e9efa10d57e","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.13683","last_updated":"2026-06-08T14:22:41Z","snapshot_observed_at":"2026-08-16T14:32:40.714785Z","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":"2026-08-13T19:07:23.112320Z","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":"sha256:88a66a3c76d8f284c2b7289a450fbb47aa92154f8ed1ace55ec0c5386dc9ec7e","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":"2026-08-13T19:07:23.112320Z","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":"sha256:4ec2883f7df87b0aa953543ce653afdeef74bfb197461917e9b7c4f237a02421","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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:a67fb08e6845e5488a04af780ba3535c636f5983f55ba189f55ac324b7697baa","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"sha256:2d779ecfb452c2a3913e1b558c8e7ae0e70e476c27605687ff1c56428b22b115","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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:c266ec2f4ea91e64558a01972daa62ca9d291579d08396b7ba65dcf48dbc8187","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"sha256:67f02fbc6db0f711f043b46b398fc2f66765ce9949767f06143547d990b7ae41","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"sha256:7b1c99481ab6bf32ac30e378bbbda288b7754775929d2061d6d0aadb2435aaf9","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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:ed75a02ba55bc5ccc197b9da2952e7d57fad95c0acfd38c2bf7ace83e067fa51","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"sha256:1f5f40388d0c854d21df1e30e075a0ca041d655a5a1a2d131c2cda5374883221","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"sha256:9884686a6868ce12416ef129f9096666579cb234dc0092b9e3db5908c05c0980","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-13T19:07:23.112320Z","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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2412.01029."}