Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:51:01.547796Z
Paper Citation Record · LEDGER
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems
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.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
45 of 45 outbound references displayed
- verified exact3
- verified fuzzy37
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c64c77b8-00d0-4e62-aa43-3e39e5a87555 · outbound
This paper cites Survey on 6G frontiers: Trends, appl ications, requirements, technologies and future research,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Survey on 6G frontiers: Trends, appl ications, requirements, technologies and future research,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:02.261715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7c6a228f-894a-49dc-b210-0d29f681ff1d · outbound
This paper cites Terahertz Near-Field Communications and Sensing.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Terahertz Near-Field Communications and Sensing
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:51:01.356171Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a58c6273-5138-4030-8dc5-8d1d318474a6 · outbound
This paper cites Near-field int egrated sensing, positioning, and communication: A downli nk and uplink framework,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Near-field int egrated sensing, positioning, and communication: A downli nk and uplink framework,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:02.247284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a8ab7ea2-a15d-490b-9c2b-7222d02e5755 · outbound
This paper cites Near-Field integrated sensing and communication: Opportunities and challenges,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Near-Field integrated sensing and communication: Opportunities and challenges,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:02.232995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 23f5094f-a070-4741-a3dd-2cd50123978b · outbound
This paper cites Near-Field User Localization and Channel Estimation for XL-MIMO Systems: Fundamentals, Recent Advances, and Outlooks.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Near-Field User Localization and Channel Estimation for XL-MIMO Systems: Fundamentals, Recent Advances, and Outlooks
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T04:51:01.694121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7d5b7ef3-18f0-4875-9617-6129ab91c8b5 · outbound
This paper cites A tutorial on extremely large -scale MIMO for 6G: Fundamentals, signal processing, and applicat ions,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems A tutorial on extremely large -scale MIMO for 6G: Fundamentals, signal processing, and applicat ions,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:02.218990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4e5c2e23-abf7-489f-9f1e-f88e85623546 · outbound
This paper cites Near-field MIMO com munications for 6G: Fundamentals, challenges, potentials , and future directions,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Near-field MIMO com munications for 6G: Fundamentals, challenges, potentials , and future directions,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:02.204592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9e24aa00-6fbc-4d49-8ea4-8d5c8f08c11b · outbound
This paper cites Ho lographic MIMO communications: Theoretical foundations, enabling t echnologies, and future directions,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Ho lographic MIMO communications: Theoretical foundations, enabling t echnologies, and future directions,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:02.189070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dcda028a-c478-45ba-9761-78fd8b347481 · outbound
This paper cites Uplink Performance of Cell-Free Extremely Large-Scale MIMO Systems.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Uplink Performance of Cell-Free Extremely Large-Scale MIMO Systems
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T04:51:01.673768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fcaddff6-de27-449b-b51e-1412bf5530f4 · outbound
This paper cites Beam focusing for near-field multiuser MI MO communications,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Beam focusing for near-field multiuser MI MO communications,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:02.175040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 00f27c8b-b4b2-4cde-ac82-96cabc98cc88 · outbound
This paper cites Nyquist sampling and degrees of freedom of electromag netic fields,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Nyquist sampling and degrees of freedom of electromag netic fields,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:02.160579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0731036c-654d-4d72-95c1-c443eed874ea · outbound
This paper cites Towards 6G MIMO: Massive Spatial Multiplexing, Dense Arrays, and Interplay Between Electromagnetics and Processing.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Towards 6G MIMO: Massive Spatial Multiplexing, Dense Arrays, and Interplay Between Electromagnetics and Processing
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:51:01.403512Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ccff913a-b5cc-4639-8b85-f4de3c76b86a · outbound
This paper cites Joint task offloading and resource allocatio n in aerial-terrestrial UA V networks with edge and fog computin g for post-disaster rescue,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Joint task offloading and resource allocatio n in aerial-terrestrial UA V networks with edge and fog computin g for post-disaster rescue,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:02.145926Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ab956a1a-c765-4c46-86ad-500a42fed173 · outbound
This paper cites UA V-enabled covert federated learning,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems UA V-enabled covert federated learning,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:02.131633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4c13d4f1-b56c-4738-be80-7d326e23a889 · outbound
This paper cites Angular-distance based channel estimation for holographic MIMO,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Angular-distance based channel estimation for holographic MIMO,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:02.117745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 433b62d1-2df1-4412-b823-b5aa57f1243b · outbound
This paper cites Channel estimation for XL-MIMO systems with polar-domain m ulti-scale residual dense network,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Channel estimation for XL-MIMO systems with polar-domain m ulti-scale residual dense network,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:02.103336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8e5a24f5-5de7-4f59-af53-8aebfabea699 · outbound
This paper cites Hybrid -Field channel estimation for XL-MIMO systems with stochas tic gradient pursuit algorithm,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Hybrid -Field channel estimation for XL-MIMO systems with stochas tic gradient pursuit algorithm,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:02.089221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f2f5ef2c-24b3-443d-b49e-9080edb4519b · outbound
This paper cites Near-Field Communications: What Will Be Different?.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Near-Field Communications: What Will Be Different?
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:51:01.430354Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31f2d5f9-81cc-4e38-9f81-f77a81479997 · outbound
This paper cites Near-Field Communications: A Comprehensive Survey.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Near-Field Communications: A Comprehensive Survey
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:51:01.434976Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation edd7dce5-e170-464c-ace6-f21fb41241b3 · outbound
This paper cites Beam squint assist ed user localization in near-field integrated sensing and co mmunications systems,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Beam squint assist ed user localization in near-field integrated sensing and co mmunications systems,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:02.074131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 552f37f1-234a-4a05-bcd0-cb79f9b37a3d · outbound
This paper cites Nea r-field channel reconstruction and user localization for EL AA systems,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Nea r-field channel reconstruction and user localization for EL AA systems,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:02.059851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 04684bea-053f-46ed-8438-8e3a879923ba · outbound
This paper cites Near-field rai nbow: Wideband beam training for XL-MIMO,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Near-field rai nbow: Wideband beam training for XL-MIMO,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:02.043906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d7203655-b854-444c-8f76-d05e704e4af3 · outbound
This paper cites Near-field wideband beamforming for e xtremely large antenna arrays,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Near-field wideband beamforming for e xtremely large antenna arrays,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:02.028844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dd359b55-a408-481e-a3bb-b5cfbbb0214b · outbound
This paper cites Delay-phase prec oding for wideband THz massive MIMO,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Delay-phase prec oding for wideband THz massive MIMO,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:02.014416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e01e86f8-4fd3-4f22-98a4-1a8166b489b0 · outbound
This paper cites Spat ial non-stationary near-field channel modeling and validat ion for massive MIMO systems,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Spat ial non-stationary near-field channel modeling and validat ion for massive MIMO systems,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:02.000294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 804986e8-b689-4265-89ff-122eafb01150 · outbound
This paper cites Cram´ er-Rao bounds for ne ar-field sensing with extremely large-scale MIMO,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Cram´ er-Rao bounds for ne ar-field sensing with extremely large-scale MIMO,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:01.984714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9f364262-e895-4f3b-8403-923486293326 · outbound
This paper cites Cra m´ er-Rao bounds of near-field positioning based on electrom agnetic propagation model,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Cra m´ er-Rao bounds of near-field positioning based on electrom agnetic propagation model,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:01.969048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f56c909b-a348-4dc6-856b-fb72a5a1a500 · outbound
This paper cites Cram´ er-Rao bounds for near-field localization,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Cram´ er-Rao bounds for near-field localization,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:01.953506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e6e94538-cc58-4665-a77b-a006e3f852e7 · outbound
This paper cites Pe rformance bounds for near-field localization with widely-s paced multi-subarray mmWave/THz MIMO,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Pe rformance bounds for near-field localization with widely-s paced multi-subarray mmWave/THz MIMO,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:01.937938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0f68dc16-aebc-4f25-9146-086906626034 · outbound
This paper cites Near-field positioning and attitude sensing based on electromagnetic propagation modeling,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Near-field positioning and attitude sensing based on electromagnetic propagation modeling,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:01.922958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e65a62b3-9b13-455c-88be-88a36c9575ec · outbound
This paper cites Scalable near- field localization based on array partitioning and angle-of - arrival fusion,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Scalable near- field localization based on array partitioning and angle-of - arrival fusion,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:01.907821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c0b2ce7f-4da8-44c5-82b0-d250b8785dcb · outbound
This paper cites A low-complexity ne ar-field localization method based on electric field model,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems A low-complexity ne ar-field localization method based on electric field model,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:01.893100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0eb73007-6b00-4e17-b967-68363bd6b8a5 · outbound
This paper cites Adaptive Downlink Localization and User Tracking in Near-Field and Far-Field: A Trade-Off Analysis.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Adaptive Downlink Localization and User Tracking in Near-Field and Far-Field: A Trade-Off Analysis
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T04:51:01.606106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation deb2dfb0-079d-4bbb-8f8b-324b57612556 · outbound
This paper cites Near- field localization with 1-bit quantized hybrid A/D reception,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Near- field localization with 1-bit quantized hybrid A/D reception,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:01.878341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1f7a7eba-8115-4ca7-beaa-5b3da063fb89 · outbound
This paper cites Near-field in tegrated sensing, positioning, and communication: A downl ink and uplink framework,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Near-field in tegrated sensing, positioning, and communication: A downl ink and uplink framework,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:01.863280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 00a2b5c7-ee95-4670-a4cb-cdaca011966d · outbound
This paper cites Joint Channel Estimation and Cooperative Localization for Near-Field Ultra-Massive MIMO.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Joint Channel Estimation and Cooperative Localization for Near-Field Ultra-Massive MIMO
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:51:01.509607Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 680599c7-0186-4d2b-86d8-199f8fa22693 · outbound
This paper cites Near-field local ization and channel reconstruction for ELAA systems,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Near-field local ization and channel reconstruction for ELAA systems,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:01.847624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 20abc020-bcce-4fb0-a6a3-f4a7b6339ed3 · outbound
This paper cites Sensing user’s activity, channel , and location with near-field extra-large-scale MIMO,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Sensing user’s activity, channel , and location with near-field extra-large-scale MIMO,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:01.832609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8e4515a2-ad74-4fdd-b695-80934303a4f4 · outbound
This paper cites A ConvNet for the 2020s,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems A ConvNet for the 2020s,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:01.817899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 24c2a977-f993-40d6-a23c-a25cb6f4a859 · outbound
This paper cites A low-complexity frame sync hronization and frequency offset compensation scheme for O FDM systems over fading channels,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems A low-complexity frame sync hronization and frequency offset compensation scheme for O FDM systems over fading channels,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:01.803290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 245bf6ac-c49b-4490-9660-1bb805c5551f · outbound
This paper cites Performance analysis of 5G OFDM frame synchronizat ion with various channel conditions,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Performance analysis of 5G OFDM frame synchronizat ion with various channel conditions,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:01.785989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2698e053-5fbc-441e-81b1-d679255f9081 · outbound
This paper cites Terahertz band: The last piece of RF spectrum puzzl e for communication systems,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Terahertz band: The last piece of RF spectrum puzzl e for communication systems,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:01.770746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 191b954f-ac8f-45b0-a4f3-9ae7e2b0b620 · outbound
This paper cites Str uctured massive access for scalable cell-free massive MIMO systems,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Str uctured massive access for scalable cell-free massive MIMO systems,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:01.755109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ff2dedf4-f310-44bf-9299-f5207e6960db · outbound
This paper cites Conditi onal and unconditional Cram´ er-Rao bounds for near-field lo calization in bistatic MIMO radar systems,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Conditi onal and unconditional Cram´ er-Rao bounds for near-field lo calization in bistatic MIMO radar systems,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:01.740070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1877d2fb-90f8-4bd9-ba67-146d27d22903 · outbound
This paper cites CHISEL: Compression -aware high-accuracy embedded indoor localization with de ep learning,.
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems CHISEL: Compression -aware high-accuracy embedded indoor localization with de ep learning,
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