Paper Citation Record · LEDGER

Diffusion Model for Multiple Antenna Communications

As of 14 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2502.01841.

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

pith.paper-citation-record.v1
2502.01841 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:20:05.287609Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

13 of 13 outbound references displayed

verified exact1
verified fuzzy11
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1a2e0569-60d3-474a-8679-2cece82f501a · outbound

This paper cites Near-field communications: A comprehensive survey,.

Diffusion Model for Multiple Antenna Communications Near-field communications: A comprehensive survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:20:05.505369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c3c03f0b-71b7-46ac-b86d-698317309504 · outbound

This paper cites Enhancing deep reinforcement learning: A tutorial on generative diffusion models in network optimization,.

Diffusion Model for Multiple Antenna Communications Enhancing deep reinforcement learning: A tutorial on generative diffusion models in network optimization,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:20:05.491039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ef0c0fc9-64a5-49f4-aeff-1584b86223fe · outbound

This paper cites Generative vs. Discriminative modeling under the lens of uncertainty quantification.

Diffusion Model for Multiple Antenna Communications Generative vs. Discriminative modeling under the lens of uncertainty quantification

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-09T14:20:05.355204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f28819d5-9b31-4d35-8b9b-72ac0cae8b08 · outbound

This paper cites Policy Representation via Diffusion Probability Model for Reinforcement Learning.

Diffusion Model for Multiple Antenna Communications Policy Representation via Diffusion Probability Model for Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T14:20:05.248487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 888dc7b0-00c6-42fb-8b99-8f30d94aed00 · outbound

This paper cites Generative artificial intelligence for mobile communications: A diffusion model perspective,.

Diffusion Model for Multiple Antenna Communications Generative artificial intelligence for mobile communications: A diffusion model perspective,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:20:05.478754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7d9a8e3a-90cf-46b7-a350-f677c4d2be36 · outbound

This paper cites Learning-based signal detection for MIMO systems with unknown noise statistics,.

Diffusion Model for Multiple Antenna Communications Learning-based signal detection for MIMO systems with unknown noise statistics,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:20:05.466932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2be8cde4-90ed-4436-ab17-eb029ed61efd · outbound

This paper cites Generative AI for integrated sensing and communication: Insights from the physical layer perspective,.

Diffusion Model for Multiple Antenna Communications Generative AI for integrated sensing and communication: Insights from the physical layer perspective,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:20:05.454818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1dc6497d-bd18-4dbf-9663-bd7eba4d879a · outbound

This paper cites Denoising diffusion probabilistic models,.

Diffusion Model for Multiple Antenna Communications Denoising diffusion probabilistic models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:20:05.442381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 47795c2a-dfd0-46bc-ab3f-69b4631c5cbd · outbound

This paper cites Learning optimal resource allocations in wireless systems,.

Diffusion Model for Multiple Antenna Communications Learning optimal resource allocations in wireless systems,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:20:05.427038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 891368c9-2f85-4beb-bde7-220d3acc2357 · outbound

This paper cites Optimizing wireless systems using unsupervised and reinforced-unsupervised deep learning,.

Diffusion Model for Multiple Antenna Communications Optimizing wireless systems using unsupervised and reinforced-unsupervised deep learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:20:05.414146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e4407720-fea3-4d3a-aeb8-68e316f7b44b · outbound

This paper cites Optimal multiuser trans- mit beamforming: A difficult problem with a simple solution structure,.

Diffusion Model for Multiple Antenna Communications Optimal multiuser trans- mit beamforming: A difficult problem with a simple solution structure,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:20:05.399910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 07da5163-4876-4166-8e1d-76744be1f798 · outbound

This paper cites Electromagnetic property sensing based on diffusion model in ISAC system,.

Diffusion Model for Multiple Antenna Communications Electromagnetic property sensing based on diffusion model in ISAC system,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:20:05.386584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8f1f8c91-70c8-422c-9e08-71544a761a1e · outbound

This paper cites Multidimensional graph neural networks for wireless communications,.

Diffusion Model for Multiple Antenna Communications Multidimensional graph neural networks for wireless communications,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:20:05.373199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.