Paper Citation Record · LEDGER

Generative vs. Predictive Models in Massive MIMO Channel Prediction

As of 13 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2411.16971.

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

pith.paper-citation-record.v1
2411.16971 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:44:07.176731Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

9 of 9 outbound references displayed

verified exact0
verified fuzzy2
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b68f5728-59ca-45f0-82e2-398376fa8ecc · outbound

This paper cites write newline.

Generative vs. Predictive Models in Massive MIMO Channel Prediction write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T12:44:07.144382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e256dff3-b35c-44e6-9caf-cec6ea2f48ae · outbound

This paper cites International Conference on Mobile Computing and Networking , New York, NY, USA, 2021, p.

Generative vs. Predictive Models in Massive MIMO Channel Prediction International Conference on Mobile Computing and Networking , New York, NY, USA, 2021, p

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T12:44:07.149226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19243c5a-fd6b-4658-97dc-2f1b9ae829f4 · outbound

This paper cites an unresolved cited work.

Generative vs. Predictive Models in Massive MIMO Channel Prediction Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:44:07.430862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4e5149d4-e020-4186-931c-f0da7e4ad9bc · outbound

This paper cites 1465--1470.

Generative vs. Predictive Models in Massive MIMO Channel Prediction 1465--1470

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:44:07.420095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4718dc66-3dcf-4a26-9ff0-c88e3e791c8c · outbound

This paper cites Neural Discrete Representation Learning.

Generative vs. Predictive Models in Massive MIMO Channel Prediction Neural Discrete Representation Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T12:44:07.161012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6622b099-c229-4d08-8b52-c1a2bd96cda3 · outbound

This paper cites an unresolved cited work.

Generative vs. Predictive Models in Massive MIMO Channel Prediction Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T12:44:07.165191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ad897f6-4945-44ea-ae4e-75a74e26d73a · outbound

This paper cites Kingma and Max Welling, ``An introduction to variational autoencoders,'' Foundations and Trends in Machine Learning , vol.

Generative vs. Predictive Models in Massive MIMO Channel Prediction Kingma and Max Welling, ``An introduction to variational autoencoders,'' Foundations and Trends in Machine Learning , vol

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:44:07.397766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0330f846-a110-46ef-a916-6c1fe6aec026 · outbound

This paper cites an unresolved cited work.

Generative vs. Predictive Models in Massive MIMO Channel Prediction Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:44:07.384988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ed6fd88f-1128-478c-9937-7d28ec7ac0b8 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Generative vs. Predictive Models in Massive MIMO Channel Prediction Denoising Diffusion Probabilistic Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T12:44:07.176731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.