Paper Citation Record · LEDGER

GNN-based Precoder Design and Fine-tuning for Cell-free Massive MIMO with Real-world CSI

As of 19 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2505.08788.

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

pith.paper-citation-record.v1
2505.08788 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:50:16.208990Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:43:52.341619Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:43:52.402109Z

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy10
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 28bdf9dc-cbd3-4406-822a-dad3e11cbba0 · outbound

This paper cites Cell-free massive MIMO versus small cells,.

GNN-based Precoder Design and Fine-tuning for Cell-free Massive MIMO with Real-world CSI Cell-free massive MIMO versus small cells,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T21:50:16.158718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 487e4af6-2ba0-4882-b9b1-89e9c3338b2f · outbound

This paper cites Graph neural networks meet wireless communications: Motivation, applications, and future directions,.

GNN-based Precoder Design and Fine-tuning for Cell-free Massive MIMO with Real-world CSI Graph neural networks meet wireless communications: Motivation, applications, and future directions,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:50:16.383505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cc671270-1ae2-4365-9221-fc0c40561640 · outbound

This paper cites Learning to Reflect and to Beamform for Intelligent Reflecting Surface With Implicit Channel Estimation,.

GNN-based Precoder Design and Fine-tuning for Cell-free Massive MIMO with Real-world CSI Learning to Reflect and to Beamform for Intelligent Reflecting Surface With Implicit Channel Estimation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:50:16.369699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c27d55ea-18ed-423d-8561-cda163a06cd6 · outbound

This paper cites Toward energy-efficient massive MIMO: Graph neural network precoding for mitigating non- linear PA distortion,.

GNN-based Precoder Design and Fine-tuning for Cell-free Massive MIMO with Real-world CSI Toward energy-efficient massive MIMO: Graph neural network precoding for mitigating non- linear PA distortion,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:50:16.355737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 890b0305-ced7-49ba-8d4c-92d745a6be3c · outbound

This paper cites DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications,.

GNN-based Precoder Design and Fine-tuning for Cell-free Massive MIMO with Real-world CSI DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:50:16.341705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3e8fb797-3b58-4782-8dfc-1b423701fe55 · outbound

This paper cites WAIR-D: Wireless AI Research Dataset.

GNN-based Precoder Design and Fine-tuning for Cell-free Massive MIMO with Real-world CSI WAIR-D: Wireless AI Research Dataset

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T21:50:16.182783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7c21258-5078-42d5-95be-ee0244640110 · outbound

This paper cites Transfer Learning Promotes 6G Wireless Communications: Recent Advances and Future Challenges,.

GNN-based Precoder Design and Fine-tuning for Cell-free Massive MIMO with Real-world CSI Transfer Learning Promotes 6G Wireless Communications: Recent Advances and Future Challenges,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:50:16.327820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9a64fc65-fc51-4a97-aa43-dcb3d4556ae1 · outbound

This paper cites Transfer Learning Promotes 6G Wireless Communications: Recent Advances and Future Challenges,.

GNN-based Precoder Design and Fine-tuning for Cell-free Massive MIMO with Real-world CSI Transfer Learning Promotes 6G Wireless Communications: Recent Advances and Future Challenges,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:50:16.312931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e40bf07c-9290-468c-bca8-6bd4605c8ae0 · outbound

This paper cites Study on channel model for frequencies from 0.5 to 100 ghz (release 17),.

GNN-based Precoder Design and Fine-tuning for Cell-free Massive MIMO with Real-world CSI Study on channel model for frequencies from 0.5 to 100 ghz (release 17),

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:50:16.299381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aa4fa83c-cb9a-4933-8891-f774cfcae7c9 · outbound

This paper cites Techtile: Open 6G R&D testbed for communica- tion, positioning, sensing, WPT and federated learning,.

GNN-based Precoder Design and Fine-tuning for Cell-free Massive MIMO with Real-world CSI Techtile: Open 6G R&D testbed for communica- tion, positioning, sensing, WPT and federated learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:50:16.284879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 590c02cf-4d9a-4372-9a1c-804c5e4041a9 · outbound

This paper cites Quinonero-Candela, M.

GNN-based Precoder Design and Fine-tuning for Cell-free Massive MIMO with Real-world CSI Quinonero-Candela, M

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:50:16.270759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a9e2a81-744e-435e-bd75-7e06590c9c85 · outbound

This paper cites Optimal Design of Energy-Efficient Multi-User MIMO Systems: Is Massive MIMO the Answer?.

GNN-based Precoder Design and Fine-tuning for Cell-free Massive MIMO with Real-world CSI Optimal Design of Energy-Efficient Multi-User MIMO Systems: Is Massive MIMO the Answer?

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:50:16.256587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 2fd8e147-7128-4477-b822-131e256890b7 · inbound

Learning to Quantize and Precode in Massive MIMO Systems for Energy Reduction: a Graph Neural Network Approach cites this paper.

Learning to Quantize and Precode in Massive MIMO Systems for Energy Reduction: a Graph Neural Network Approach GNN-based Precoder Design and Fine-tuning for Cell-free Massive MIMO with Real-world CSI

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:43:52.408253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.