Paper Citation Record · LEDGER

A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff

As of 16 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2507.18587.

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

pith.paper-citation-record.v1
2507.18587 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:14:18.181768Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:56:04.614130Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:56:06.240441Z

Reference resolution

14 of 14 outbound references displayed

verified exact0
verified fuzzy11
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 96575e1e-41ec-4843-9cf6-2fc7867852a0 · outbound

This paper cites Noncooperative Cellular Wireless with Unlimited Num- bers of Base Station Antennas,.

A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff Noncooperative Cellular Wireless with Unlimited Num- bers of Base Station Antennas,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:18.475721Z

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 b960ba97-bf74-4cdc-871e-e5418584c28f · outbound

This paper cites Unsupervised deep learning for massive MIMO hybrid beamforming,.

A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff Unsupervised deep learning for massive MIMO hybrid beamforming,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:18.464252Z

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 f3ca2382-9749-4cf7-8065-32ec2dc1e571 · outbound

This paper cites Supervised deep learning for MIMO precoding,.

A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff Supervised deep learning for MIMO precoding,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:18.452065Z

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 ab131dc9-39ac-4668-a764-ef70d54b4059 · outbound

This paper cites A deep learning-based framework for low complexity multiuser MIMO precoding design,.

A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff A deep learning-based framework for low complexity multiuser MIMO precoding design,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:18.440248Z

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 2511859a-175c-43c7-ac86-470197d6d4c9 · outbound

This paper cites Unsupervised learning- based coordinated hybrid precoding for MmWave massive MIMO- enabled HetNets,.

A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff Unsupervised learning- based coordinated hybrid precoding for MmWave massive MIMO- enabled HetNets,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:18.427883Z

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 98fa3800-4e0f-40f0-ad65-fa92bbd71eac · outbound

This paper cites Adaptive massive MIMO hybrid precoding based on meta learning,.

A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff Adaptive massive MIMO hybrid precoding based on meta learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:18.415087Z

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 7eb176a5-ec39-4545-8343-4cc9623a966b · outbound

This paper cites Transfer learning and meta learning-based fast downlink beamforming adaptation,.

A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff Transfer learning and meta learning-based fast downlink beamforming adaptation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:18.402534Z

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 f4eaf327-1467-4e76-996d-14a9cc2881a3 · outbound

This paper cites SAGE- HB: Swift adaptation and generalization in massive MIMO hybrid beam- forming,.

A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff SAGE- HB: Swift adaptation and generalization in massive MIMO hybrid beam- forming,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T18:14:18.161795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbb8e965-21d1-4abe-a8ed-ca076afa2a69 · outbound

This paper cites BERT4MIMO: A Foundation Model using BERT Architecture for Massive MIMO Channel State Information Prediction.

A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff BERT4MIMO: A Foundation Model using BERT Architecture for Massive MIMO Channel State Information Prediction

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T18:14:18.165057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc9bb091-74a2-40dd-b8d4-04de9afd26fb · outbound

This paper cites Deep learning for efficient CSI feedback in massive MIMO: Adapting to new environments and small datasets,.

A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff Deep learning for efficient CSI feedback in massive MIMO: Adapting to new environments and small datasets,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:18.382170Z

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 4a3360e6-d3df-4af7-af3b-bc1959cdbb48 · outbound

This paper cites Learning energy-efficient transmitter configurations for massive MIMO beamforming,.

A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff Learning energy-efficient transmitter configurations for massive MIMO beamforming,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:18.369388Z

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 03f01576-e544-4559-8db9-d22978f2d791 · outbound

This paper cites Overview of precoding techniques for massive MIMO,.

A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff Overview of precoding techniques for massive MIMO,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:18.249016Z

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 10aba4d0-f516-4ce1-af38-e2a897d25576 · outbound

This paper cites An iteratively weighted mmse approach to distributed sum-utility maximization for a MIMO interfering broadcast channel,.

A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff An iteratively weighted mmse approach to distributed sum-utility maximization for a MIMO interfering broadcast channel,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:18.236380Z

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 ce5f482a-d9f0-469a-bba0-0fdff4a50fb3 · outbound

This paper cites Planet dump retrieved from https://planet.osm.org ,.

A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff Planet dump retrieved from https://planet.osm.org ,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T18:14:18.181768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 076954d5-6f18-487e-aff8-546623c69345 · inbound

WiFo-CF: Wireless Foundation Model for CSI Feedback cites this paper.

WiFo-CF: Wireless Foundation Model for CSI Feedback A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:56:06.364296Z

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.