Paper Citation Record · LEDGER

BeamLLM: Vision-Empowered mmWave Beam Prediction with Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.10432.

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

pith.paper-citation-record.v1
2503.10432 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:24:48.289006Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T04:54:03.546144Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 90c9f01e-59e7-4240-9765-5cf48a780c7d · inbound

M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models cites this paper.

M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models BeamLLM: Vision-Empowered mmWave Beam Prediction with Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:48.289006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e2fe37a-d553-49ff-8570-0efa0cdeda22 · inbound

LVM4CSI: Enabling Direct Application of Pre-Trained Large Vision Models for Wireless Channel Tasks cites this paper.

LVM4CSI: Enabling Direct Application of Pre-Trained Large Vision Models for Wireless Channel Tasks BeamLLM: Vision-Empowered mmWave Beam Prediction with Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:33.205351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0a2efc5-5f75-4781-9b54-9e3039174fb5 · inbound

Vehicle-to-Infrastructure Collaborative Spatial Perception via Multimodal Large Language Models cites this paper.

Vehicle-to-Infrastructure Collaborative Spatial Perception via Multimodal Large Language Models BeamLLM: Vision-Empowered mmWave Beam Prediction with Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T10:42:47.149512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7fe8669-01f2-4f29-abf2-9f4d7bf4ce4c · inbound

BERT4beam: Large AI Model Enabled Generalized Beamforming Optimization cites this paper.

BERT4beam: Large AI Model Enabled Generalized Beamforming Optimization BeamLLM: Vision-Empowered mmWave Beam Prediction with Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T17:14:55.881992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 907f08e3-dacd-4f8a-becb-d0faf687467c · inbound

Segment-Wise Flow Matching for Vision-Aided mmWave V2I Beam Prediction cites this paper.

Segment-Wise Flow Matching for Vision-Aided mmWave V2I Beam Prediction BeamLLM: Vision-Empowered mmWave Beam Prediction with Large Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:54:03.548238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2eeb4718-6466-465f-83b6-fa8af67e7e6d · inbound

When AI Meets Terahertz: A Survey on the Symbiosis of Artificial Intelligence and Terahertz Networks cites this paper.

When AI Meets Terahertz: A Survey on the Symbiosis of Artificial Intelligence and Terahertz Networks BeamLLM: Vision-Empowered mmWave Beam Prediction with Large Language Models

Reference 282

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:06:10.411058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.