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Paper Citation Record · LEDGER

Attention-Infused Autoencoder for Massive MIMO CSI Compression

As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2504.12440.

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

pith.paper-citation-record.v1
2504.12440 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:35:30.030090Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

31 of 31 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 17e5a400-0ceb-4a07-acfc-773c964c1b80 · outbound

This paper cites Attention-infused autoencoder for massive mimo csi compression,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Attention-infused autoencoder for massive mimo csi compression,

Reference 1

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Observation 2398b1e9-ca8a-4cb8-8dd2-bdf5d25975d6 · outbound

This paper cites Bj ¨ornson, J.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Bj ¨ornson, J

Reference 2

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9446ff47-6eb4-475f-8bda-ff9a1086d6fe · outbound

This paper cites Massive mimo in the ul/dl of cellular networks: How many antennas do we need?.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Massive mimo in the ul/dl of cellular networks: How many antennas do we need?

Reference 3

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Observation 9cf8ef91-f876-4488-b2de-692b1f5dcf70 · outbound

This paper cites Near-optimal signal recovery from random projections: Universal encoding strategies?.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Near-optimal signal recovery from random projections: Universal encoding strategies?

Reference 4

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Observation 79d50436-51d1-46e5-8231-6d85c866560b · outbound

This paper cites Atomic decomposition by basis pursuit,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Atomic decomposition by basis pursuit,

Reference 5

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Source-reported events for the cited work

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Observation 74f374fc-f29d-4d7e-bd5a-ac478990b5bc · outbound

This paper cites Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition,

Reference 6

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Observation bb505233-2d32-40cb-a17f-3182479369ea · outbound

This paper cites An iterative thresholding al- gorithm for linear inverse problems with a sparsity constraint,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression An iterative thresholding al- gorithm for linear inverse problems with a sparsity constraint,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d5e84fc7-d275-4b83-b979-a398fc95bc88 · outbound

This paper cites Compressed sensing,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Compressed sensing,

Reference 8

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Source-reported events for the cited work

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Observation b91fca6b-a449-4470-9731-8ff08b01387a · outbound

This paper cites User’s Guide for TV AL3: TV Minimiza- tion by Augmented Lagrangian and Alternating Direction Algorithms,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression User’s Guide for TV AL3: TV Minimiza- tion by Augmented Lagrangian and Alternating Direction Algorithms,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e2d4175a-4edb-4447-9a5c-ef185d10936f · outbound

This paper cites From denoising to compressed sensing,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression From denoising to compressed sensing,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 964dcf4e-7d47-47e9-b739-fdae4261038c · outbound

This paper cites Deep learning for massive MIMO CSI feedback,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Deep learning for massive MIMO CSI feedback,

Reference 11

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Source-reported events for the cited work

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Observation f259cdb4-c4ee-42c9-b67c-d0a2f99fbc3b · outbound

This paper cites Multi-resolution CSI feedback with deep learning in massive MIMO system,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Multi-resolution CSI feedback with deep learning in massive MIMO system,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d0cf0aa7-3a6f-4d45-a7fb-1860f69e31af · outbound

This paper cites Binarized aggregated network with quantization: Flexible deep learning deployment for CSI feedback in massive MIMO systems,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Binarized aggregated network with quantization: Flexible deep learning deployment for CSI feedback in massive MIMO systems,

Reference 13

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Observation eb64b181-5cb3-41ea-af22-5193684451ff · outbound

This paper cites Dilated Convolution Based CSI Feedback Compression for Massive MIMO JOURNAL OF LATEX CLASS FILES, VOL. XX, NO. XX, APRIL 2025 13 Systems,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Dilated Convolution Based CSI Feedback Compression for Massive MIMO JOURNAL OF LATEX CLASS FILES, VOL. XX, NO. XX, APRIL 2025 13 Systems,

Reference 14

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Source-reported events for the cited work

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Observation 5d4a7988-2f58-46ff-9b7d-8ea9ac2ab903 · outbound

This paper cites Enhancing deep learning performance of massive MIMO CSI feedback,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Enhancing deep learning performance of massive MIMO CSI feedback,

Reference 15

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 25452ce6-584a-4498-8bf3-3fea5308e44f · outbound

This paper cites Exploiting bi-directional channel reciprocity in deep learning for low rate massive mimo csi feedback,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Exploiting bi-directional channel reciprocity in deep learning for low rate massive mimo csi feedback,

Reference 16

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ffbca6e4-f215-4b72-9cb0-25086268f0cc · outbound

This paper cites Distributed deep con- volutional compression for massive mimo csi feedback,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Distributed deep con- volutional compression for massive mimo csi feedback,

Reference 17

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Observation cdcfb491-169b-44db-954d-83afee6fd0dd · outbound

This paper cites Fusion of self-attention mechanism for csi feedback in massive mimo systems,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Fusion of self-attention mechanism for csi feedback in massive mimo systems,

Reference 18

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Observation d07a831b-1fdd-47cd-8e84-efb4707668d6 · outbound

This paper cites Swin Transformer-Based CSI Feedback for Massive MIMO.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Swin Transformer-Based CSI Feedback for Massive MIMO

Reference 19

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Observation 077e9ee9-697c-4a63-a278-85bfe90be1e5 · outbound

This paper cites Channel estimation for massive mimo using gaussian-mixture bayesian learning,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Channel estimation for massive mimo using gaussian-mixture bayesian learning,

Reference 20

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Observation c520e864-5d8c-4334-ab5e-e9e6be3b80fc · outbound

This paper cites Learning In- ternal Representations by Error Propagation,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Learning In- ternal Representations by Error Propagation,

Reference 21

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e050ddba-92d9-41c6-b14d-caa0c6500de3 · outbound

This paper cites Cbam: Convolutional block attention module,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Cbam: Convolutional block attention module,

Reference 22

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0004e78d-4bef-44e5-aef9-848622a4ee39 · outbound

This paper cites Densenet for dense flow,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Densenet for dense flow,

Reference 23

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Observation 13c142f7-8656-4df3-8219-dbcc535c40b7 · outbound

This paper cites The COST 2100 MIMO Channel Model,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression The COST 2100 MIMO Channel Model,

Reference 24

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Observation e2bfab0b-1ebb-49c6-8882-3e3e956d8b89 · outbound

This paper cites Squeeze-and-excitation networks,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Squeeze-and-excitation networks,

Reference 25

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Observation 976d3abd-756a-4900-9221-81ed2aeea555 · outbound

This paper cites Spa- tial Transformer Networks,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Spa- tial Transformer Networks,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation adc6c1c4-8ed8-40f9-a43a-8b5dee980c12 · outbound

This paper cites Understanding the Difficulty of Training Deep Feedforward Neural Networks,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Understanding the Difficulty of Training Deep Feedforward Neural Networks,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d34d790d-ca2d-4a77-ab22-aad1844c593d · outbound

This paper cites Decoupled Weight Decay Regularization,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Decoupled Weight Decay Regularization,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ec998bf1-df6b-4e43-b1fa-ef15a1759bc4 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression SGDR: Stochastic Gradient Descent with Warm Restarts,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 96fc77ec-d97a-4861-ab12-fbf70a72f2fb · outbound

This paper cites Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a55f3502-6253-442d-a8ae-eb4d4d533ae3 · outbound

This paper cites Convolutional Neural Network- Based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis,.

Attention-Infused Autoencoder for Massive MIMO CSI Compression Convolutional Neural Network- Based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis,

Reference 31

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raw_fallback, observed 2026-08-16T12:35:30.083565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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