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Paper Citation Record · LEDGER

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems

As of 15 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2509.10487.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.10487 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:41:18.832853Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

  • verified exact4
  • verified fuzzy37
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2d9067e5-27cc-4ef1-9114-054ed9163889 · outbound

This paper cites Capacity of multi-antenna Gaussian channels,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Capacity of multi-antenna Gaussian channels,

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation aa31c292-476e-4c03-8d1f-830be35ddc29 · outbound

This paper cites An overview of MIMO communications—a key to gigabit wireless,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems An overview of MIMO communications—a key to gigabit wireless,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a31ae05b-baae-40df-ba72-ccb363f1819b · outbound

This paper cites Broadband MIMO-OFDM wireless communications,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Broadband MIMO-OFDM wireless communications,

Reference 3

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Source-reported events for the cited work

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Observation 610cd43b-3317-4d1d-868f-5a350cb84d70 · outbound

This paper cites An overview of massive MIMO: Benefits and challenges,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems An overview of massive MIMO: Benefits and challenges,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c1b59de2-e2c6-41db-8ddd-2f0583b342f6 · outbound

This paper cites Millimeter- wave NOMA with user grouping, power allocation and hybrid beamform- ing,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Millimeter- wave NOMA with user grouping, power allocation and hybrid beamform- ing,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5ba26ca2-37a5-40ec-87ed-c2e088ffe2be · outbound

This paper cites Multi-user MIMO using ZF-based multi- plexing coordinated with user-wise spatial diversity,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Multi-user MIMO using ZF-based multi- plexing coordinated with user-wise spatial diversity,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5ae49880-809d-4e65-893a-010f05820bc6 · outbound

This paper cites Massive MIMO detec- tion techniques: A survey,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Massive MIMO detec- tion techniques: A survey,

Reference 7

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raw_fallback, observed 2026-08-05T13:41:27.410061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9405f01e-c13a-44e4-a226-7da496653f8c · outbound

This paper cites Variable-phase-shift-based RF-baseband codesign for MIMO antenna selection,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Variable-phase-shift-based RF-baseband codesign for MIMO antenna selection,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f0109073-4c68-4d16-9571-bc5d04688836 · outbound

This paper cites A Tutorial on Movable Antennas for Wireless Networks.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems A Tutorial on Movable Antennas for Wireless Networks

Reference 9

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local_arxiv, observed 2026-08-05T13:41:19.913564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 138846a4-2a84-4406-8dda-25fa21dccb1d · outbound

This paper cites Capacity maximization for FAS- assisted multiple access channels,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Capacity maximization for FAS- assisted multiple access channels,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f492bf1a-1daf-463b-bef6-b58c5bfb82df · outbound

This paper cites Movable antennas for wireless commu- nication: Opportunities and challenges,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Movable antennas for wireless commu- nication: Opportunities and challenges,

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a5d58d31-61fc-4ec3-aee7-f1f8af18b284 · outbound

This paper cites Modeling and performance analysis for movable-antenna enabled wireless communications,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Modeling and performance analysis for movable-antenna enabled wireless communications,

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8053e441-8206-40af-b25d-bf977366115d · outbound

This paper cites Performance analysis and optimization for movable antenna aided wideband communications,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Performance analysis and optimization for movable antenna aided wideband communications,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9fed7bf2-13eb-4b04-82a5-6f2d0d468663 · outbound

This paper cites Movable-antenna array enhanced beam- forming: Achieving full array gain with null steering,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Movable-antenna array enhanced beam- forming: Achieving full array gain with null steering,

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8e303a41-8eec-412d-b077-14e85235e713 · outbound

This paper cites Multi-beamforming with movable-antenna array,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Multi-beamforming with movable-antenna array,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 17933f8b-1cca-4a41-8b42-5a5e66139ee3 · outbound

This paper cites Dynamic beam coverage for satellite communications aided by movable-antenna array,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Dynamic beam coverage for satellite communications aided by movable-antenna array,

Reference 16

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f993a52f-2afd-4d90-85fa-5e2a9c7db6e4 · outbound

This paper cites Zhu et al.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Zhu et al

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8ddd34d2-adb2-476e-acd1-0c9247302a7d · outbound

This paper cites an unresolved cited work.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 18bfb38a-a0ed-4381-accd-3c2d69fbc572 · outbound

This paper cites Joint antenna position optimization and beamforming for movable antenna arrays,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Joint antenna position optimization and beamforming for movable antenna arrays,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c4da64b7-fc42-4e96-a7cc-46cbb9c6cb5f · outbound

This paper cites Movable Antenna Enabled ISAC: Tackling Slow Antenna Movement, Dynamic RCS, and Imperfect CSI via Two-timescale Optimizati.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Movable Antenna Enabled ISAC: Tackling Slow Antenna Movement, Dynamic RCS, and Imperfect CSI via Two-timescale Optimizati

Reference 20

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local_arxiv, observed 2026-08-05T13:41:19.500163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c1a7bcee-df42-4868-8333-deadf7fe8210 · outbound

This paper cites Movable antenna-aided secure full-duplex multi-user communications,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Movable antenna-aided secure full-duplex multi-user communications,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 40c1810a-8307-4e65-a398-e60c50974d40 · outbound

This paper cites Movable Antenna Aided Multiuser Communications: Antenna Position Optimization Based on Statistical Channel Information.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Movable Antenna Aided Multiuser Communications: Antenna Position Optimization Based on Statistical Channel Information

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 66843540-b3b1-49d9-a3ad-3403708fdcdb · outbound

This paper cites Channel estimation via orthogonal matching pursuit for hybrid MIMO systems in millimeter wave communi- cations,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Channel estimation via orthogonal matching pursuit for hybrid MIMO systems in millimeter wave communi- cations,

Reference 24

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raw_fallback, observed 2026-08-05T13:41:24.884665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 374bc875-d9d7-4cc1-8481-5de6066a49c2 · outbound

This paper cites Millimeter wave channel estimation via exploiting joint sparse and low-rank structures,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Millimeter wave channel estimation via exploiting joint sparse and low-rank structures,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 81d12bfa-ff33-4183-a640-aa635f87e1f8 · outbound

This paper cites Spatially common sparsity based adaptive channel estimation and feedback for FDD massive MIMO,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Spatially common sparsity based adaptive channel estimation and feedback for FDD massive MIMO,

Reference 26

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raw_fallback, observed 2026-08-05T13:41:24.353793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e10ee6fc-5d46-4f6c-86cc-97481ae93f8c · outbound

This paper cites Compressed sensing based channel estimation for movable antenna communications,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Compressed sensing based channel estimation for movable antenna communications,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-05T13:41:24.099358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d3f4df3c-51ce-4938-a7e5-97d980e9cee9 · outbound

This paper cites Channel estimation for movable antenna communication systems: A framework based on compressed sensing,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Channel estimation for movable antenna communication systems: A framework based on compressed sensing,

Reference 28

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raw_fallback, observed 2026-08-05T13:41:23.876146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3ca7457d-4144-4432-842a-1fe9d82ae004 · outbound

This paper cites Wireless networks design in the era of deep learning: model-based, AI-based, or both?.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Wireless networks design in the era of deep learning: model-based, AI-based, or both?

Reference 29

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raw_fallback, observed 2026-08-05T13:41:23.389751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 737d254d-fe7a-4ab6-ac8a-79e381f3b4e0 · outbound

This paper cites Deep learning for joint source- channel coding of text,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Deep learning for joint source- channel coding of text,

Reference 30

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raw_fallback, observed 2026-08-05T13:41:23.118991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1e584979-0b24-4803-aa3e-21d03d6675fb · outbound

This paper cites Deep learning-based channel estimation,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Deep learning-based channel estimation,

Reference 31

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raw_fallback, observed 2026-08-05T13:41:22.867194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 00ac4a8a-4ab7-4daf-87e2-60df3eb7a811 · outbound

This paper cites Deep-learning- based millimeter-wave massive MIMO for hybrid precoding,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Deep-learning- based millimeter-wave massive MIMO for hybrid precoding,

Reference 32

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raw_fallback, observed 2026-08-05T13:41:22.582489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:41:17.036808Z digest=sha256:b94544162208713e3b224d5ee03efc77a32ecf78038d1693a25cc529c3d3c632

Observation 87523fe7-9147-4c1d-94b3-2f7365f5543b · outbound

This paper cites CNN-Based Channel Map Estimation for Movable Antenna Systems.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems CNN-Based Channel Map Estimation for Movable Antenna Systems

Reference 33

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local_arxiv, observed 2026-08-05T13:41:19.296056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a10cbf23-52b2-4713-b719-28051279c6fe · outbound

This paper cites Correlation-based machine learning techniques for channel estimation with fluid antennas,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Correlation-based machine learning techniques for channel estimation with fluid antennas,

Reference 34

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raw_fallback, observed 2026-08-05T13:41:22.366091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:41:17.263121Z digest=sha256:f48dd8bfbe56af6b63811afdfaee912596f06fb820a622d440383a3d330fe732

Observation 93ad0d2b-cabb-4c25-b0c6-f61a7b11f959 · outbound

This paper cites Deep learning enabled multicast beamforming with mov- able antenna array,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Deep learning enabled multicast beamforming with mov- able antenna array,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:41:22.190245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:41:17.372053Z digest=sha256:9bdbfc8ce4b1097020dd8125e6430f33e2856099f0a2bf5380515e4859c84ced

Observation 5d9f3fb0-b414-457c-9589-6f73728e4f5c · outbound

This paper cites Learning-based joint beam- forming and antenna movement design for movable antenna systems,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Learning-based joint beam- forming and antenna movement design for movable antenna systems,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:41:25.309658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:41:17.476035Z digest=sha256:f332aaba7c1a1a3647699f1121f474988883f95efdaba916ee6d34400c8b0e95

Observation 073ac5c3-98fa-453c-ba0d-41679016edc9 · outbound

This paper cites Fluid antenna system liberating multiuser MIMO for ISAC via deep reinforcement learning,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Fluid antenna system liberating multiuser MIMO for ISAC via deep reinforcement learning,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:41:22.004778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:41:17.643416Z digest=sha256:2d71e609c68181f33e3504eebf544592f1aa3cba2715e3fa7d3b92d4649a4a0e

Observation da8ef3c5-20b7-4cfb-a0b4-4f88ebb4082b · outbound

This paper cites Deep learning for distributed channel feedback and multiuser precoding in FDD massive MIMO,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Deep learning for distributed channel feedback and multiuser precoding in FDD massive MIMO,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:41:21.819365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:41:17.750065Z digest=sha256:f74538d031cf153233aff892ee74f19df684d15a0385a78ea458125b8ad73f8e

Observation 6364df47-e0f3-4b2e-b196-864c565be04d · outbound

This paper cites Exploring the Impact of Temperature Scaling in Softmax for Classification and Adversarial Robustness.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Exploring the Impact of Temperature Scaling in Softmax for Classification and Adversarial Robustness

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:41:19.054423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:41:17.806772Z digest=sha256:c26b15b3937d7fd1680fdbb73ed0437ab38a9910492657e48919cb86e81478af

Observation bda10a55-34a6-4fef-bfaf-1ad5fcf6786f · outbound

This paper cites Neural networks and machine learning,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Neural networks and machine learning,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:41:21.574113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:41:17.862915Z digest=sha256:33985724e8c408ad8c89e18019fa3370debb8440f4768fadd545cca59b91b166

Observation 4a7b608d-8c5b-499f-9703-44bfc7b7f12e · outbound

This paper cites Hierarchical multiscale recurrent neural networks for detecting suicide notes,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Hierarchical multiscale recurrent neural networks for detecting suicide notes,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:41:21.418232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:41:17.975902Z digest=sha256:85e3fc77771abd18fb6e9cd8309a419016e42cb0183cf0ec893dea20e58c3b09

Observation 5dfe0276-2ace-4df8-893d-6ebc483a9373 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T13:41:18.079896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:41:18.079896Z digest=sha256:756802e174241494647f79770615b43826bafa34c4aad66b6376b98d4e6c4e75

Observation 8ef27480-e82d-4223-9f87-278549585314 · outbound

This paper cites Adam: A method for stochastic optimization,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Adam: A method for stochastic optimization,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:41:21.273160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:41:18.273463Z digest=sha256:d03d5ff5c851b4ecc09633628496ee57793fa43d2771ceb40ae86e667908af6d

Observation 8f58d7f2-5a8c-43be-a485-7dea3eda1142 · outbound

This paper cites Attention is all you need,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Attention is all you need,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:41:21.119722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:41:18.385967Z digest=sha256:d4b8365820c62cdfe4e18ad4e359268391ad421a9f62b716ea6a5d1a6bada047

Observation 16fe0f46-4012-4c6d-91ec-b65bcfe5d1bf · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems BERT: Pre-training of deep bidirectional transformers for language understanding,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:41:20.928447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:41:18.464755Z digest=sha256:013159515e3db82a7a2cb3341c2aab035e9adf78a5964bb2d3c9ca2ba77e3c1c

Observation a7564b68-bb0d-4129-a420-0ce0e67f8945 · outbound

This paper cites Tse and P.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Tse and P

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:41:20.770880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:41:18.565819Z digest=sha256:4e08e27bcbd68e3564d80a3c78a5b340e9c9ba54d87e482207d0f35b2bfd9f79

Observation 5047c843-cd4d-445f-b5df-5d75fbf5fccf · outbound

This paper cites Pilot contamination and precoding in multi-cell TDD systems,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Pilot contamination and precoding in multi-cell TDD systems,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:41:20.578586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:41:18.705937Z digest=sha256:b50bcaa355e166a74d7e5bdca3e3cbaea69fdbe743906865ec7c90ae1e048707

Observation 96e52bce-db59-4bde-982e-3e18a11f6138 · outbound

This paper cites Fast antenna subset selection in MIMO systems,.

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems Fast antenna subset selection in MIMO systems,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:41:20.288883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:41:18.832853Z digest=sha256:03b92d9c1ca82a0f5396230c1854bca48e3f99cf65ad48e5fb72fb526320d4ab

Pith citing papers

No inbound Pith citation observations are available.